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sayantann11 / All Classification Templetes For MLClassification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classification algorithms, support vector machines(SVM), Naive Bayes, Decision Tree and Random Forest Classifier in this tutorial. Objectives Let us look at some of the objectives covered under this section of Machine Learning tutorial. Define Classification and list its algorithms Describe Logistic Regression and Sigmoid Probability Explain K-Nearest Neighbors and KNN classification Understand Support Vector Machines, Polynomial Kernel, and Kernel Trick Analyze Kernel Support Vector Machines with an example Implement the Naïve Bayes Classifier Demonstrate Decision Tree Classifier Describe Random Forest Classifier Classification: Meaning Classification is a type of supervised learning. It specifies the class to which data elements belong to and is best used when the output has finite and discrete values. It predicts a class for an input variable as well. There are 2 types of Classification: Binomial Multi-Class Classification: Use Cases Some of the key areas where classification cases are being used: To find whether an email received is a spam or ham To identify customer segments To find if a bank loan is granted To identify if a kid will pass or fail in an examination Classification: Example Social media sentiment analysis has two potential outcomes, positive or negative, as displayed by the chart given below. https://www.simplilearn.com/ice9/free_resources_article_thumb/classification-example-machine-learning.JPG This chart shows the classification of the Iris flower dataset into its three sub-species indicated by codes 0, 1, and 2. https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-flower-dataset-graph.JPG The test set dots represent the assignment of new test data points to one class or the other based on the trained classifier model. Types of Classification Algorithms Let’s have a quick look into the types of Classification Algorithm below. Linear Models Logistic Regression Support Vector Machines Nonlinear models K-nearest Neighbors (KNN) Kernel Support Vector Machines (SVM) Naïve Bayes Decision Tree Classification Random Forest Classification Logistic Regression: Meaning Let us understand the Logistic Regression model below. This refers to a regression model that is used for classification. This method is widely used for binary classification problems. It can also be extended to multi-class classification problems. Here, the dependent variable is categorical: y ϵ {0, 1} A binary dependent variable can have only two values, like 0 or 1, win or lose, pass or fail, healthy or sick, etc In this case, you model the probability distribution of output y as 1 or 0. This is called the sigmoid probability (σ). If σ(θ Tx) > 0.5, set y = 1, else set y = 0 Unlike Linear Regression (and its Normal Equation solution), there is no closed form solution for finding optimal weights of Logistic Regression. Instead, you must solve this with maximum likelihood estimation (a probability model to detect the maximum likelihood of something happening). It can be used to calculate the probability of a given outcome in a binary model, like the probability of being classified as sick or passing an exam. https://www.simplilearn.com/ice9/free_resources_article_thumb/logistic-regression-example-graph.JPG Sigmoid Probability The probability in the logistic regression is often represented by the Sigmoid function (also called the logistic function or the S-curve): https://www.simplilearn.com/ice9/free_resources_article_thumb/sigmoid-function-machine-learning.JPG In this equation, t represents data values * the number of hours studied and S(t) represents the probability of passing the exam. Assume sigmoid function: https://www.simplilearn.com/ice9/free_resources_article_thumb/sigmoid-probability-machine-learning.JPG g(z) tends toward 1 as z -> infinity , and g(z) tends toward 0 as z -> infinity K-nearest Neighbors (KNN) K-nearest Neighbors algorithm is used to assign a data point to clusters based on similarity measurement. It uses a supervised method for classification. The steps to writing a k-means algorithm are as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/knn-distribution-graph-machine-learning.JPG Choose the number of k and a distance metric. (k = 5 is common) Find k-nearest neighbors of the sample that you want to classify Assign the class label by majority vote. KNN Classification A new input point is classified in the category such that it has the most number of neighbors from that category. For example: https://www.simplilearn.com/ice9/free_resources_article_thumb/knn-classification-machine-learning.JPG Classify a patient as high risk or low risk. Mark email as spam or ham. Keen on learning about Classification Algorithms in Machine Learning? Click here! Support Vector Machine (SVM) Let us understand Support Vector Machine (SVM) in detail below. SVMs are classification algorithms used to assign data to various classes. They involve detecting hyperplanes which segregate data into classes. SVMs are very versatile and are also capable of performing linear or nonlinear classification, regression, and outlier detection. Once ideal hyperplanes are discovered, new data points can be easily classified. https://www.simplilearn.com/ice9/free_resources_article_thumb/support-vector-machines-graph-machine-learning.JPG The optimization objective is to find “maximum margin hyperplane” that is farthest from the closest points in the two classes (these points are called support vectors). In the given figure, the middle line represents the hyperplane. SVM Example Let’s look at this image below and have an idea about SVM in general. Hyperplanes with larger margins have lower generalization error. The positive and negative hyperplanes are represented by: https://www.simplilearn.com/ice9/free_resources_article_thumb/positive-negative-hyperplanes-machine-learning.JPG Classification of any new input sample xtest : If w0 + wTxtest > 1, the sample xtest is said to be in the class toward the right of the positive hyperplane. If w0 + wTxtest < -1, the sample xtest is said to be in the class toward the left of the negative hyperplane. When you subtract the two equations, you get: https://www.simplilearn.com/ice9/free_resources_article_thumb/equation-subtraction-machine-learning.JPG Length of vector w is (L2 norm length): https://www.simplilearn.com/ice9/free_resources_article_thumb/length-of-vector-machine-learning.JPG You normalize with the length of w to arrive at: https://www.simplilearn.com/ice9/free_resources_article_thumb/normalize-equation-machine-learning.JPG SVM: Hard Margin Classification Given below are some points to understand Hard Margin Classification. The left side of equation SVM-1 given above can be interpreted as the distance between the positive (+ve) and negative (-ve) hyperplanes; in other words, it is the margin that can be maximized. Hence the objective of the function is to maximize with the constraint that the samples are classified correctly, which is represented as : https://www.simplilearn.com/ice9/free_resources_article_thumb/hard-margin-classification-machine-learning.JPG This means that you are minimizing ‖w‖. This also means that all positive samples are on one side of the positive hyperplane and all negative samples are on the other side of the negative hyperplane. This can be written concisely as : https://www.simplilearn.com/ice9/free_resources_article_thumb/hard-margin-classification-formula.JPG Minimizing ‖w‖ is the same as minimizing. This figure is better as it is differentiable even at w = 0. The approach listed above is called “hard margin linear SVM classifier.” SVM: Soft Margin Classification Given below are some points to understand Soft Margin Classification. To allow for linear constraints to be relaxed for nonlinearly separable data, a slack variable is introduced. (i) measures how much ith instance is allowed to violate the margin. The slack variable is simply added to the linear constraints. https://www.simplilearn.com/ice9/free_resources_article_thumb/soft-margin-calculation-machine-learning.JPG Subject to the above constraints, the new objective to be minimized becomes: https://www.simplilearn.com/ice9/free_resources_article_thumb/soft-margin-calculation-formula.JPG You have two conflicting objectives now—minimizing slack variable to reduce margin violations and minimizing to increase the margin. The hyperparameter C allows us to define this trade-off. Large values of C correspond to larger error penalties (so smaller margins), whereas smaller values of C allow for higher misclassification errors and larger margins. https://www.simplilearn.com/ice9/free_resources_article_thumb/machine-learning-certification-video-preview.jpg SVM: Regularization The concept of C is the reverse of regularization. Higher C means lower regularization, which increases bias and lowers the variance (causing overfitting). https://www.simplilearn.com/ice9/free_resources_article_thumb/concept-of-c-graph-machine-learning.JPG IRIS Data Set The Iris dataset contains measurements of 150 IRIS flowers from three different species: Setosa Versicolor Viriginica Each row represents one sample. Flower measurements in centimeters are stored as columns. These are called features. IRIS Data Set: SVM Let’s train an SVM model using sci-kit-learn for the Iris dataset: https://www.simplilearn.com/ice9/free_resources_article_thumb/svm-model-graph-machine-learning.JPG Nonlinear SVM Classification There are two ways to solve nonlinear SVMs: by adding polynomial features by adding similarity features Polynomial features can be added to datasets; in some cases, this can create a linearly separable dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/nonlinear-classification-svm-machine-learning.JPG In the figure on the left, there is only 1 feature x1. This dataset is not linearly separable. If you add x2 = (x1)2 (figure on the right), the data becomes linearly separable. Polynomial Kernel In sci-kit-learn, one can use a Pipeline class for creating polynomial features. Classification results for the Moons dataset are shown in the figure. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-machine-learning.JPG Polynomial Kernel with Kernel Trick Let us look at the image below and understand Kernel Trick in detail. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-with-kernel-trick.JPG For large dimensional datasets, adding too many polynomial features can slow down the model. You can apply a kernel trick with the effect of polynomial features without actually adding them. The code is shown (SVC class) below trains an SVM classifier using a 3rd-degree polynomial kernel but with a kernel trick. https://www.simplilearn.com/ice9/free_resources_article_thumb/polynomial-kernel-equation-machine-learning.JPG The hyperparameter coefθ controls the influence of high-degree polynomials. Kernel SVM Let us understand in detail about Kernel SVM. Kernel SVMs are used for classification of nonlinear data. In the chart, nonlinear data is projected into a higher dimensional space via a mapping function where it becomes linearly separable. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-machine-learning.JPG In the higher dimension, a linear separating hyperplane can be derived and used for classification. A reverse projection of the higher dimension back to original feature space takes it back to nonlinear shape. As mentioned previously, SVMs can be kernelized to solve nonlinear classification problems. You can create a sample dataset for XOR gate (nonlinear problem) from NumPy. 100 samples will be assigned the class sample 1, and 100 samples will be assigned the class label -1. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-graph-machine-learning.JPG As you can see, this data is not linearly separable. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-non-separable.JPG You now use the kernel trick to classify XOR dataset created earlier. https://www.simplilearn.com/ice9/free_resources_article_thumb/kernel-svm-xor-machine-learning.JPG Naïve Bayes Classifier What is Naive Bayes Classifier? Have you ever wondered how your mail provider implements spam filtering or how online news channels perform news text classification or even how companies perform sentiment analysis of their audience on social media? All of this and more are done through a machine learning algorithm called Naive Bayes Classifier. Naive Bayes Named after Thomas Bayes from the 1700s who first coined this in the Western literature. Naive Bayes classifier works on the principle of conditional probability as given by the Bayes theorem. Advantages of Naive Bayes Classifier Listed below are six benefits of Naive Bayes Classifier. Very simple and easy to implement Needs less training data Handles both continuous and discrete data Highly scalable with the number of predictors and data points As it is fast, it can be used in real-time predictions Not sensitive to irrelevant features Bayes Theorem We will understand Bayes Theorem in detail from the points mentioned below. According to the Bayes model, the conditional probability P(Y|X) can be calculated as: P(Y|X) = P(X|Y)P(Y) / P(X) This means you have to estimate a very large number of P(X|Y) probabilities for a relatively small vector space X. For example, for a Boolean Y and 30 possible Boolean attributes in the X vector, you will have to estimate 3 billion probabilities P(X|Y). To make it practical, a Naïve Bayes classifier is used, which assumes conditional independence of P(X) to each other, with a given value of Y. This reduces the number of probability estimates to 2*30=60 in the above example. Naïve Bayes Classifier for SMS Spam Detection Consider a labeled SMS database having 5574 messages. It has messages as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/naive-bayes-spam-machine-learning.JPG Each message is marked as spam or ham in the data set. Let’s train a model with Naïve Bayes algorithm to detect spam from ham. The message lengths and their frequency (in the training dataset) are as shown below: https://www.simplilearn.com/ice9/free_resources_article_thumb/naive-bayes-spam-spam-detection.JPG Analyze the logic you use to train an algorithm to detect spam: Split each message into individual words/tokens (bag of words). Lemmatize the data (each word takes its base form, like “walking” or “walked” is replaced with “walk”). Convert data to vectors using scikit-learn module CountVectorizer. Run TFIDF to remove common words like “is,” “are,” “and.” Now apply scikit-learn module for Naïve Bayes MultinomialNB to get the Spam Detector. This spam detector can then be used to classify a random new message as spam or ham. Next, the accuracy of the spam detector is checked using the Confusion Matrix. For the SMS spam example above, the confusion matrix is shown on the right. Accuracy Rate = Correct / Total = (4827 + 592)/5574 = 97.21% Error Rate = Wrong / Total = (155 + 0)/5574 = 2.78% https://www.simplilearn.com/ice9/free_resources_article_thumb/confusion-matrix-machine-learning.JPG Although confusion Matrix is useful, some more precise metrics are provided by Precision and Recall. https://www.simplilearn.com/ice9/free_resources_article_thumb/precision-recall-matrix-machine-learning.JPG Precision refers to the accuracy of positive predictions. https://www.simplilearn.com/ice9/free_resources_article_thumb/precision-formula-machine-learning.JPG Recall refers to the ratio of positive instances that are correctly detected by the classifier (also known as True positive rate or TPR). https://www.simplilearn.com/ice9/free_resources_article_thumb/recall-formula-machine-learning.JPG Precision/Recall Trade-off To detect age-appropriate videos for kids, you need high precision (low recall) to ensure that only safe videos make the cut (even though a few safe videos may be left out). The high recall is needed (low precision is acceptable) in-store surveillance to catch shoplifters; a few false alarms are acceptable, but all shoplifters must be caught. Learn about Naive Bayes in detail. Click here! Decision Tree Classifier Some aspects of the Decision Tree Classifier mentioned below are. Decision Trees (DT) can be used both for classification and regression. The advantage of decision trees is that they require very little data preparation. They do not require feature scaling or centering at all. They are also the fundamental components of Random Forests, one of the most powerful ML algorithms. Unlike Random Forests and Neural Networks (which do black-box modeling), Decision Trees are white box models, which means that inner workings of these models are clearly understood. In the case of classification, the data is segregated based on a series of questions. Any new data point is assigned to the selected leaf node. https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-classifier-machine-learning.JPG Start at the tree root and split the data on the feature using the decision algorithm, resulting in the largest information gain (IG). This splitting procedure is then repeated in an iterative process at each child node until the leaves are pure. This means that the samples at each node belonging to the same class. In practice, you can set a limit on the depth of the tree to prevent overfitting. The purity is compromised here as the final leaves may still have some impurity. The figure shows the classification of the Iris dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-classifier-graph.JPG IRIS Decision Tree Let’s build a Decision Tree using scikit-learn for the Iris flower dataset and also visualize it using export_graphviz API. https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-machine-learning.JPG The output of export_graphviz can be converted into png format: https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-output.JPG Sample attribute stands for the number of training instances the node applies to. Value attribute stands for the number of training instances of each class the node applies to. Gini impurity measures the node’s impurity. A node is “pure” (gini=0) if all training instances it applies to belong to the same class. https://www.simplilearn.com/ice9/free_resources_article_thumb/impurity-formula-machine-learning.JPG For example, for Versicolor (green color node), the Gini is 1-(0/54)2 -(49/54)2 -(5/54) 2 ≈ 0.168 https://www.simplilearn.com/ice9/free_resources_article_thumb/iris-decision-tree-sample.JPG Decision Boundaries Let us learn to create decision boundaries below. For the first node (depth 0), the solid line splits the data (Iris-Setosa on left). Gini is 0 for Setosa node, so no further split is possible. The second node (depth 1) splits the data into Versicolor and Virginica. If max_depth were set as 3, a third split would happen (vertical dotted line). https://www.simplilearn.com/ice9/free_resources_article_thumb/decision-tree-boundaries.JPG For a sample with petal length 5 cm and petal width 1.5 cm, the tree traverses to depth 2 left node, so the probability predictions for this sample are 0% for Iris-Setosa (0/54), 90.7% for Iris-Versicolor (49/54), and 9.3% for Iris-Virginica (5/54) CART Training Algorithm Scikit-learn uses Classification and Regression Trees (CART) algorithm to train Decision Trees. CART algorithm: Split the data into two subsets using a single feature k and threshold tk (example, petal length < “2.45 cm”). This is done recursively for each node. k and tk are chosen such that they produce the purest subsets (weighted by their size). The objective is to minimize the cost function as given below: https://www.simplilearn.com/ice9/free_resources_article_thumb/cart-training-algorithm-machine-learning.JPG The algorithm stops executing if one of the following situations occurs: max_depth is reached No further splits are found for each node Other hyperparameters may be used to stop the tree: min_samples_split min_samples_leaf min_weight_fraction_leaf max_leaf_nodes Gini Impurity or Entropy Entropy is one more measure of impurity and can be used in place of Gini. https://www.simplilearn.com/ice9/free_resources_article_thumb/gini-impurity-entrophy.JPG It is a degree of uncertainty, and Information Gain is the reduction that occurs in entropy as one traverses down the tree. Entropy is zero for a DT node when the node contains instances of only one class. Entropy for depth 2 left node in the example given above is: https://www.simplilearn.com/ice9/free_resources_article_thumb/entrophy-for-depth-2.JPG Gini and Entropy both lead to similar trees. DT: Regularization The following figure shows two decision trees on the moons dataset. https://www.simplilearn.com/ice9/free_resources_article_thumb/dt-regularization-machine-learning.JPG The decision tree on the right is restricted by min_samples_leaf = 4. The model on the left is overfitting, while the model on the right generalizes better. Random Forest Classifier Let us have an understanding of Random Forest Classifier below. A random forest can be considered an ensemble of decision trees (Ensemble learning). Random Forest algorithm: Draw a random bootstrap sample of size n (randomly choose n samples from the training set). Grow a decision tree from the bootstrap sample. At each node, randomly select d features. Split the node using the feature that provides the best split according to the objective function, for instance by maximizing the information gain. Repeat the steps 1 to 2 k times. (k is the number of trees you want to create, using a subset of samples) Aggregate the prediction by each tree for a new data point to assign the class label by majority vote (pick the group selected by the most number of trees and assign new data point to that group). Random Forests are opaque, which means it is difficult to visualize their inner workings. https://www.simplilearn.com/ice9/free_resources_article_thumb/random-forest-classifier-graph.JPG However, the advantages outweigh their limitations since you do not have to worry about hyperparameters except k, which stands for the number of decision trees to be created from a subset of samples. RF is quite robust to noise from the individual decision trees. Hence, you need not prune individual decision trees. The larger the number of decision trees, the more accurate the Random Forest prediction is. (This, however, comes with higher computation cost). Key Takeaways Let us quickly run through what we have learned so far in this Classification tutorial. Classification algorithms are supervised learning methods to split data into classes. They can work on Linear Data as well as Nonlinear Data. Logistic Regression can classify data based on weighted parameters and sigmoid conversion to calculate the probability of classes. K-nearest Neighbors (KNN) algorithm uses similar features to classify data. Support Vector Machines (SVMs) classify data by detecting the maximum margin hyperplane between data classes. Naïve Bayes, a simplified Bayes Model, can help classify data using conditional probability models. Decision Trees are powerful classifiers and use tree splitting logic until pure or somewhat pure leaf node classes are attained. Random Forests apply Ensemble Learning to Decision Trees for more accurate classification predictions. Conclusion This completes ‘Classification’ tutorial. In the next tutorial, we will learn 'Unsupervised Learning with Clustering.'
Aastha2104 / Parkinson Disease PredictionIntroduction Parkinson’s Disease is the second most prevalent neurodegenerative disorder after Alzheimer’s, affecting more than 10 million people worldwide. Parkinson’s is characterized primarily by the deterioration of motor and cognitive ability. There is no single test which can be administered for diagnosis. Instead, doctors must perform a careful clinical analysis of the patient’s medical history. Unfortunately, this method of diagnosis is highly inaccurate. A study from the National Institute of Neurological Disorders finds that early diagnosis (having symptoms for 5 years or less) is only 53% accurate. This is not much better than random guessing, but an early diagnosis is critical to effective treatment. Because of these difficulties, I investigate a machine learning approach to accurately diagnose Parkinson’s, using a dataset of various speech features (a non-invasive yet characteristic tool) from the University of Oxford. Why speech features? Speech is very predictive and characteristic of Parkinson’s disease; almost every Parkinson’s patient experiences severe vocal degradation (inability to produce sustained phonations, tremor, hoarseness), so it makes sense to use voice to diagnose the disease. Voice analysis gives the added benefit of being non-invasive, inexpensive, and very easy to extract clinically. Background Parkinson's Disease Parkinson’s is a progressive neurodegenerative condition resulting from the death of the dopamine containing cells of the substantia nigra (which plays an important role in movement). Symptoms include: “frozen” facial features, bradykinesia (slowness of movement), akinesia (impairment of voluntary movement), tremor, and voice impairment. Typically, by the time the disease is diagnosed, 60% of nigrostriatal neurons have degenerated, and 80% of striatal dopamine have been depleted. Performance Metrics TP = true positive, FP = false positive, TN = true negative, FN = false negative Accuracy: (TP+TN)/(P+N) Matthews Correlation Coefficient: 1=perfect, 0=random, -1=completely inaccurate Algorithms Employed Logistic Regression (LR): Uses the sigmoid logistic equation with weights (coefficient values) and biases (constants) to model the probability of a certain class for binary classification. An output of 1 represents one class, and an output of 0 represents the other. Training the model will learn the optimal weights and biases. Linear Discriminant Analysis (LDA): Assumes that the data is Gaussian and each feature has the same variance. LDA estimates the mean and variance for each class from the training data, and then uses properties of statistics (Bayes theorem , Gaussian distribution, etc) to compute the probability of a particular instance belonging to a given class. The class with the largest probability is the prediction. k Nearest Neighbors (KNN): Makes predictions about the validation set using the entire training set. KNN makes a prediction about a new instance by searching through the entire set to find the k “closest” instances. “Closeness” is determined using a proximity measurement (Euclidean) across all features. The class that the majority of the k closest instances belong to is the class that the model predicts the new instance to be. Decision Tree (DT): Represented by a binary tree, where each root node represents an input variable and a split point, and each leaf node contains an output used to make a prediction. Neural Network (NN): Models the way the human brain makes decisions. Each neuron takes in 1+ inputs, and then uses an activation function to process the input with weights and biases to produce an output. Neurons can be arranged into layers, and multiple layers can form a network to model complex decisions. Training the network involves using the training instances to optimize the weights and biases. Naive Bayes (NB): Simplifies the calculation of probabilities by assuming that all features are independent of one another (a strong but effective assumption). Employs Bayes Theorem to calculate the probabilities that the instance to be predicted is in each class, then finds the class with the highest probability. Gradient Boost (GB): Generally used when seeking a model with very high predictive performance. Used to reduce bias and variance (“error”) by combining multiple “weak learners” (not very good models) to create a “strong learner” (high performance model). Involves 3 elements: a loss function (error function) to be optimized, a weak learner (decision tree) to make predictions, and an additive model to add trees to minimize the loss function. Gradient descent is used to minimize error after adding each tree (one by one). Engineering Goal Produce a machine learning model to diagnose Parkinson’s disease given various features of a patient’s speech with at least 90% accuracy and/or a Matthews Correlation Coefficient of at least 0.9. Compare various algorithms and parameters to determine the best model for predicting Parkinson’s. Dataset Description Source: the University of Oxford 195 instances (147 subjects with Parkinson’s, 48 without Parkinson’s) 22 features (elements that are possibly characteristic of Parkinson’s, such as frequency, pitch, amplitude / period of the sound wave) 1 label (1 for Parkinson’s, 0 for no Parkinson’s) Project Pipeline pipeline Summary of Procedure Split the Oxford Parkinson’s Dataset into two parts: one for training, one for validation (evaluate how well the model performs) Train each of the following algorithms with the training set: Logistic Regression, Linear Discriminant Analysis, k Nearest Neighbors, Decision Tree, Neural Network, Naive Bayes, Gradient Boost Evaluate results using the validation set Repeat for the following training set to validation set splits: 80% training / 20% validation, 75% / 25%, and 70% / 30% Repeat for a rescaled version of the dataset (scale all the numbers in the dataset to a range from 0 to 1: this helps to reduce the effect of outliers) Conduct 5 trials and average the results Data a_o a_r m_o m_r Data Analysis In general, the models tended to perform the best (both in terms of accuracy and Matthews Correlation Coefficient) on the rescaled dataset with a 75-25 train-test split. The two highest performing algorithms, k Nearest Neighbors and the Neural Network, both achieved an accuracy of 98%. The NN achieved a MCC of 0.96, while KNN achieved a MCC of 0.94. These figures outperform most existing literature and significantly outperform current methods of diagnosis. Conclusion and Significance These robust results suggest that a machine learning approach can indeed be implemented to significantly improve diagnosis methods of Parkinson’s disease. Given the necessity of early diagnosis for effective treatment, my machine learning models provide a very promising alternative to the current, rather ineffective method of diagnosis. Current methods of early diagnosis are only 53% accurate, while my machine learning model produces 98% accuracy. This 45% increase is critical because an accurate, early diagnosis is needed to effectively treat the disease. Typically, by the time the disease is diagnosed, 60% of nigrostriatal neurons have degenerated, and 80% of striatal dopamine have been depleted. With an earlier diagnosis, much of this degradation could have been slowed or treated. My results are very significant because Parkinson’s affects over 10 million people worldwide who could benefit greatly from an early, accurate diagnosis. Not only is my machine learning approach more accurate in terms of diagnostic accuracy, it is also more scalable, less expensive, and therefore more accessible to people who might not have access to established medical facilities and professionals. The diagnosis is also much simpler, requiring only a 10-15 second voice recording and producing an immediate diagnosis. Future Research Given more time and resources, I would investigate the following: Create a mobile application which would allow the user to record his/her voice, extract the necessary vocal features, and feed it into my machine learning model to diagnose Parkinson’s. Use larger datasets in conjunction with the University of Oxford dataset. Tune and improve my models even further to achieve even better results. Investigate different structures and types of neural networks. Construct a novel algorithm specifically suited for the prediction of Parkinson’s. Generalize my findings and algorithms for all types of dementia disorders, such as Alzheimer’s. References Bind, Shubham. "A Survey of Machine Learning Based Approaches for Parkinson Disease Prediction." International Journal of Computer Science and Information Technologies 6 (2015): n. pag. International Journal of Computer Science and Information Technologies. 2015. Web. 8 Mar. 2017. Brooks, Megan. "Diagnosing Parkinson's Disease Still Challenging." Medscape Medical News. National Institute of Neurological Disorders, 31 July 2014. Web. 20 Mar. 2017. Exploiting Nonlinear Recurrence and Fractal Scaling Properties for Voice Disorder Detection', Little MA, McSharry PE, Roberts SJ, Costello DAE, Moroz IM. BioMedical Engineering OnLine 2007, 6:23 (26 June 2007) Hashmi, Sumaiya F. "A Machine Learning Approach to Diagnosis of Parkinson’s Disease."Claremont Colleges Scholarship. Claremont College, 2013. Web. 10 Mar. 2017. Karplus, Abraham. "Machine Learning Algorithms for Cancer Diagnosis." Machine Learning Algorithms for Cancer Diagnosis (n.d.): n. pag. Mar. 2012. Web. 20 Mar. 2017. Little, Max. "Parkinsons Data Set." UCI Machine Learning Repository. University of Oxford, 26 June 2008. Web. 20 Feb. 2017. Ozcift, Akin, and Arif Gulten. "Classifier Ensemble Construction with Rotation Forest to Improve Medical Diagnosis Performance of Machine Learning Algorithms." Computer Methods and Programs in Biomedicine 104.3 (2011): 443-51. Semantic Scholar. 2011. Web. 15 Mar. 2017. "Parkinson’s Disease Dementia." UCI MIND. N.p., 19 Oct. 2015. Web. 17 Feb. 2017. Salvatore, C., A. Cerasa, I. Castiglioni, F. Gallivanone, A. Augimeri, M. Lopez, G. Arabia, M. Morelli, M.c. Gilardi, and A. Quattrone. "Machine Learning on Brain MRI Data for Differential Diagnosis of Parkinson's Disease and Progressive Supranuclear Palsy."Journal of Neuroscience Methods 222 (2014): 230-37. 2014. Web. 18 Mar. 2017. Shahbakhi, Mohammad, Danial Taheri Far, and Ehsan Tahami. "Speech Analysis for Diagnosis of Parkinson’s Disease Using Genetic Algorithm and Support Vector Machine."Journal of Biomedical Science and Engineering 07.04 (2014): 147-56. Scientific Research. July 2014. Web. 2 Mar. 2017. "Speech and Communication." Speech and Communication. Parkinson's Disease Foundation, n.d. Web. 22 Mar. 2017. Sriram, Tarigoppula V. S., M. Venkateswara Rao, G. V. Satya Narayana, and D. S. V. G. K. Kaladhar. "Diagnosis of Parkinson Disease Using Machine Learning and Data Mining Systems from Voice Dataset." SpringerLink. Springer, Cham, 01 Jan. 1970. Web. 17 Mar. 2017.
Aryia-Behroziuan / NeuronsAn ANN is a model based on a collection of connected units or nodes called "artificial neurons", which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit information, a "signal", from one artificial neuron to another. An artificial neuron that receives a signal can process it and then signal additional artificial neurons connected to it. In common ANN implementations, the signal at a connection between artificial neurons is a real number, and the output of each artificial neuron is computed by some non-linear function of the sum of its inputs. The connections between artificial neurons are called "edges". Artificial neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Artificial neurons may have a threshold such that the signal is only sent if the aggregate signal crosses that threshold. Typically, artificial neurons are aggregated into layers. Different layers may perform different kinds of transformations on their inputs. Signals travel from the first layer (the input layer) to the last layer (the output layer), possibly after traversing the layers multiple times. The original goal of the ANN approach was to solve problems in the same way that a human brain would. However, over time, attention moved to performing specific tasks, leading to deviations from biology. Artificial neural networks have been used on a variety of tasks, including computer vision, speech recognition, machine translation, social network filtering, playing board and video games and medical diagnosis. Deep learning consists of multiple hidden layers in an artificial neural network. This approach tries to model the way the human brain processes light and sound into vision and hearing. Some successful applications of deep learning are computer vision and speech recognition.[68] Decision trees Main article: Decision tree learning Decision tree learning uses a decision tree as a predictive model to go from observations about an item (represented in the branches) to conclusions about the item's target value (represented in the leaves). It is one of the predictive modeling approaches used in statistics, data mining, and machine learning. Tree models where the target variable can take a discrete set of values are called classification trees; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data, but the resulting classification tree can be an input for decision making. Support vector machines Main article: Support vector machines Support vector machines (SVMs), also known as support vector networks, are a set of related supervised learning methods used for classification and regression. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that predicts whether a new example falls into one category or the other.[69] An SVM training algorithm is a non-probabilistic, binary, linear classifier, although methods such as Platt scaling exist to use SVM in a probabilistic classification setting. In addition to performing linear classification, SVMs can efficiently perform a non-linear classification using what is called the kernel trick, implicitly mapping their inputs into high-dimensional feature spaces. Illustration of linear regression on a data set. Regression analysis Main article: Regression analysis Regression analysis encompasses a large variety of statistical methods to estimate the relationship between input variables and their associated features. Its most common form is linear regression, where a single line is drawn to best fit the given data according to a mathematical criterion such as ordinary least squares. The latter is often extended by regularization (mathematics) methods to mitigate overfitting and bias, as in ridge regression. When dealing with non-linear problems, go-to models include polynomial regression (for example, used for trendline fitting in Microsoft Excel[70]), logistic regression (often used in statistical classification) or even kernel regression, which introduces non-linearity by taking advantage of the kernel trick to implicitly map input variables to higher-dimensional space. Bayesian networks Main article: Bayesian network A simple Bayesian network. Rain influences whether the sprinkler is activated, and both rain and the sprinkler influence whether the grass is wet. A Bayesian network, belief network, or directed acyclic graphical model is a probabilistic graphical model that represents a set of random variables and their conditional independence with a directed acyclic graph (DAG). For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Efficient algorithms exist that perform inference and learning. Bayesian networks that model sequences of variables, like speech signals or protein sequences, are called dynamic Bayesian networks. Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams. Genetic algorithms Main article: Genetic algorithm A genetic algorithm (GA) is a search algorithm and heuristic technique that mimics the process of natural selection, using methods such as mutation and crossover to generate new genotypes in the hope of finding good solutions to a given problem. In machine learning, genetic algorithms were used in the 1980s and 1990s.[71][72] Conversely, machine learning techniques have been used to improve the performance of genetic and evolutionary algorithms.[73] Training models Usually, machine learning models require a lot of data in order for them to perform well. Usually, when training a machine learning model, one needs to collect a large, representative sample of data from a training set. Data from the training set can be as varied as a corpus of text, a collection of images, and data collected from individual users of a service. Overfitting is something to watch out for when training a machine learning model. Federated learning Main article: Federated learning Federated learning is an adapted form of distributed artificial intelligence to training machine learning models that decentralizes the training process, allowing for users' privacy to be maintained by not needing to send their data to a centralized server. This also increases efficiency by decentralizing the training process to many devices. For example, Gboard uses federated machine learning to train search query prediction models on users' mobile phones without having to send individual searches back to Google.[74] Applications There are many applications for machine learning, including: Agriculture Anatomy Adaptive websites Affective computing Banking Bioinformatics Brain–machine interfaces Cheminformatics Citizen science Computer networks Computer vision Credit-card fraud detection Data quality DNA sequence classification Economics Financial market analysis[75] General game playing Handwriting recognition Information retrieval Insurance Internet fraud detection Linguistics Machine learning control Machine perception Machine translation Marketing Medical diagnosis Natural language processing Natural language understanding Online advertising Optimization Recommender systems Robot locomotion Search engines Sentiment analysis Sequence mining Software engineering Speech recognition Structural health monitoring Syntactic pattern recognition Telecommunication Theorem proving Time series forecasting User behavior analytics In 2006, the media-services provider Netflix held the first "Netflix Prize" competition to find a program to better predict user preferences and improve the accuracy of its existing Cinematch movie recommendation algorithm by at least 10%. A joint team made up of researchers from AT&T Labs-Research in collaboration with the teams Big Chaos and Pragmatic Theory built an ensemble model to win the Grand Prize in 2009 for $1 million.[76] Shortly after the prize was awarded, Netflix realized that viewers' ratings were not the best indicators of their viewing patterns ("everything is a recommendation") and they changed their recommendation engine accordingly.[77] In 2010 The Wall Street Journal wrote about the firm Rebellion Research and their use of machine learning to predict the financial crisis.[78] In 2012, co-founder of Sun Microsystems, Vinod Khosla, predicted that 80% of medical doctors' jobs would be lost in the next two decades to automated machine learning medical diagnostic software.[79] In 2014, it was reported that a machine learning algorithm had been applied in the field of art history to study fine art paintings and that it may have revealed previously unrecognized influences among artists.[80] In 2019 Springer Nature published the first research book created using machine learning.[81] Limitations Although machine learning has been transformative in some fields, machine-learning programs often fail to deliver expected results.[82][83][84] Reasons for this are numerous: lack of (suitable) data, lack of access to the data, data bias, privacy problems, badly chosen tasks and algorithms, wrong tools and people, lack of resources, and evaluation problems.[85] In 2018, a self-driving car from Uber failed to detect a pedestrian, who was killed after a collision.[86] Attempts to use machine learning in healthcare with the IBM Watson system failed to deliver even after years of time and billions of dollars invested.[87][88] Bias Main article: Algorithmic bias Machine learning approaches in particular can suffer from different data biases. A machine learning system trained on current customers only may not be able to predict the needs of new customer groups that are not represented in the training data. When trained on man-made data, machine learning is likely to pick up the same constitutional and unconscious biases already present in society.[89] Language models learned from data have been shown to contain human-like biases.[90][91] Machine learning systems used for criminal risk assessment have been found to be biased against black people.[92][93] In 2015, Google photos would often tag black people as gorillas,[94] and in 2018 this still was not well resolved, but Google reportedly was still using the workaround to remove all gorillas from the training data, and thus was not able to recognize real gorillas at all.[95] Similar issues with recognizing non-white people have been found in many other systems.[96] In 2016, Microsoft tested a chatbot that learned from Twitter, and it quickly picked up racist and sexist language.[97] Because of such challenges, the effective use of machine learning may take longer to be adopted in other domains.[98] Concern for fairness in machine learning, that is, reducing bias in machine learning and propelling its use for human good is increasingly expressed by artificial intelligence scientists, including Fei-Fei Li, who reminds engineers that "There’s nothing artificial about AI...It’s inspired by people, it’s created by people, and—most importantly—it impacts people. It is a powerful tool we are only just beginning to understand, and that is a profound responsibility.”[99] Model assessments Classification of machine learning models can be validated by accuracy estimation techniques like the holdout method, which splits the data in a training and test set (conventionally 2/3 training set and 1/3 test set designation) and evaluates the performance of the training model on the test set. In comparison, the K-fold-cross-validation method randomly partitions the data into K subsets and then K experiments are performed each respectively considering 1 subset for evaluation and the remaining K-1 subsets for training the model. In addition to the holdout and cross-validation methods, bootstrap, which samples n instances with replacement from the dataset, can be used to assess model accuracy.[100] In addition to overall accuracy, investigators frequently report sensitivity and specificity meaning True Positive Rate (TPR) and True Negative Rate (TNR) respectively. Similarly, investigators sometimes report the false positive rate (FPR) as well as the false negative rate (FNR). However, these rates are ratios that fail to reveal their numerators and denominators. The total operating characteristic (TOC) is an effective method to express a model's diagnostic ability. TOC shows the numerators and denominators of the previously mentioned rates, thus TOC provides more information than the commonly used receiver operating characteristic (ROC) and ROC's associated area under the curve (AUC).[101] Ethics Machine learning poses a host of ethical questions. Systems which are trained on datasets collected with biases may exhibit these biases upon use (algorithmic bias), thus digitizing cultural prejudices.[102] For example, using job hiring data from a firm with racist hiring policies may lead to a machine learning system duplicating the bias by scoring job applicants against similarity to previous successful applicants.[103][104] Responsible collection of data and documentation of algorithmic rules used by a system thus is a critical part of machine learning. Because human languages contain biases, machines trained on language corpora will necessarily also learn these biases.[105][106] Other forms of ethical challenges, not related to personal biases, are more seen in health care. There are concerns among health care professionals that these systems might not be designed in the public's interest but as income-generating machines. This is especially true in the United States where there is a long-standing ethical dilemma of improving health care, but also increasing profits. For example, the algorithms could be designed to provide patients with unnecessary tests or medication in which the algorithm's proprietary owners hold stakes. There is huge potential for machine learning in health care to provide professionals a great tool to diagnose, medicate, and even plan recovery paths for patients, but this will not happen until the personal biases mentioned previously, and these "greed" biases are addressed.[107] Hardware Since the 2010s, advances in both machine learning algorithms and computer hardware have led to more efficient methods for training deep neural networks (a particular narrow subdomain of machine learning) that contain many layers of non-linear hidden units.[108] By 2019, graphic processing units (GPUs), often with AI-specific enhancements, had displaced CPUs as the dominant method of training large-scale commercial cloud AI.[109] OpenAI estimated the hardware compute used in the largest deep learning projects from AlexNet (2012) to AlphaZero (2017), and found a 300,000-fold increase in the amount of compute required, with a doubling-time trendline of 3.4 months.[110][111] Software Software suites containing a variety of machine learning algorithms include the following: Free and open-source so
MarkipTheMudkip / In Class Project 2According to all known laws of aviation, there is no way a bee should be able to fly. Its wings are too small to get its fat little body off the ground. The bee, of course, flies anyway because bees don't care what humans think is impossible. Yellow, black. Yellow, black. Yellow, black. Yellow, black. Ooh, black and yellow! Let's shake it up a little. Barry! Breakfast is ready! Ooming! Hang on a second. Hello? - Barry? - Adam? - Oan you believe this is happening? - I can't. I'll pick you up. Looking sharp. Use the stairs. Your father paid good money for those. Sorry. I'm excited. Here's the graduate. We're very proud of you, son. A perfect report card, all B's. Very proud. Ma! I got a thing going here. - You got lint on your fuzz. - Ow! That's me! - Wave to us! We'll be in row 118,000. - Bye! Barry, I told you, stop flying in the house! - Hey, Adam. - Hey, Barry. - Is that fuzz gel? - A little. Special day, graduation. Never thought I'd make it. Three days grade school, three days high school. Those were awkward. Three days college. I'm glad I took a day and hitchhiked around the hive. You did come back different. - Hi, Barry. - Artie, growing a mustache? Looks good. - Hear about Frankie? - Yeah. - You going to the funeral? - No, I'm not going. Everybody knows, sting someone, you die. Don't waste it on a squirrel. Such a hothead. I guess he could have just gotten out of the way. I love this incorporating an amusement park into our day. That's why we don't need vacations. Boy, quite a bit of pomp... under the circumstances. - Well, Adam, today we are men. - We are! - Bee-men. - Amen! Hallelujah! Students, faculty, distinguished bees, please welcome Dean Buzzwell. Welcome, New Hive Oity graduating class of... ...9:15. That concludes our ceremonies. And begins your career at Honex Industries! Will we pick ourjob today? I heard it's just orientation. Heads up! Here we go. Keep your hands and antennas inside the tram at all times. - Wonder what it'll be like? - A little scary. Welcome to Honex, a division of Honesco and a part of the Hexagon Group. This is it! Wow. Wow. We know that you, as a bee, have worked your whole life to get to the point where you can work for your whole life. Honey begins when our valiant Pollen Jocks bring the nectar to the hive. Our top-secret formula is automatically color-corrected, scent-adjusted and bubble-contoured into this soothing sweet syrup with its distinctive golden glow you know as... Honey! - That girl was hot. - She's my cousin! - She is? - Yes, we're all cousins. - Right. You're right. - At Honex, we constantly strive to improve every aspect of bee existence. These bees are stress-testing a new helmet technology. - What do you think he makes? - Not enough. Here we have our latest advancement, the Krelman. - What does that do? - Oatches that little strand of honey that hangs after you pour it. Saves us millions. Oan anyone work on the Krelman? Of course. Most bee jobs are small ones. But bees know that every small job, if it's done well, means a lot. But choose carefully because you'll stay in the job you pick for the rest of your life. The same job the rest of your life? I didn't know that. What's the difference? You'll be happy to know that bees, as a species, haven't had one day off in 27 million years. So you'll just work us to death? We'll sure try. Wow! That blew my mind! "What's the difference?" How can you say that? One job forever? That's an insane choice to have to make. I'm relieved. Now we only have to make one decision in life. But, Adam, how could they never have told us that? Why would you question anything? We're bees. We're the most perfectly functioning society on Earth. You ever think maybe things work a little too well here? Like what? Give me one example. I don't know. But you know what I'm talking about. Please clear the gate. Royal Nectar Force on approach. Wait a second. Oheck it out. - Hey, those are Pollen Jocks! - Wow. I've never seen them this close. They know what it's like outside the hive. Yeah, but some don't come back. - Hey, Jocks! - Hi, Jocks! You guys did great! You're monsters! You're sky freaks! I love it! I love it! - I wonder where they were. - I don't know. Their day's not planned. Outside the hive, flying who knows where, doing who knows what. You can'tjust decide to be a Pollen Jock. You have to be bred for that. Right. Look. That's more pollen than you and I will see in a lifetime. It's just a status symbol. Bees make too much of it. Perhaps. Unless you're wearing it and the ladies see you wearing it. Those ladies? Aren't they our cousins too? Distant. Distant. Look at these two. - Oouple of Hive Harrys. - Let's have fun with them. It must be dangerous being a Pollen Jock. Yeah. Once a bear pinned me against a mushroom! He had a paw on my throat, and with the other, he was slapping me! - Oh, my! - I never thought I'd knock him out. What were you doing during this? Trying to alert the authorities. I can autograph that. A little gusty out there today, wasn't it, comrades? Yeah. Gusty. We're hitting a sunflower patch six miles from here tomorrow. - Six miles, huh? - Barry! A puddle jump for us, but maybe you're not up for it. - Maybe I am. - You are not! We're going 0900 at J-Gate. What do you think, buzzy-boy? Are you bee enough? I might be. It all depends on what 0900 means. Hey, Honex! Dad, you surprised me. You decide what you're interested in? - Well, there's a lot of choices. - But you only get one. Do you ever get bored doing the same job every day? Son, let me tell you about stirring. You grab that stick, and you just move it around, and you stir it around. You get yourself into a rhythm. It's a beautiful thing. You know, Dad, the more I think about it, maybe the honey field just isn't right for me. You were thinking of what, making balloon animals? That's a bad job for a guy with a stinger. Janet, your son's not sure he wants to go into honey! - Barry, you are so funny sometimes. - I'm not trying to be funny. You're not funny! You're going into honey. Our son, the stirrer! - You're gonna be a stirrer? - No one's listening to me! Wait till you see the sticks I have. I could say anything right now. I'm gonna get an ant tattoo! Let's open some honey and celebrate! Maybe I'll pierce my thorax. Shave my antennae. Shack up with a grasshopper. Get a gold tooth and call everybody "dawg"! I'm so proud. - We're starting work today! - Today's the day. Oome on! All the good jobs will be gone. Yeah, right. Pollen counting, stunt bee, pouring, stirrer, front desk, hair removal... - Is it still available? - Hang on. Two left! One of them's yours! Oongratulations! Step to the side. - What'd you get? - Picking crud out. Stellar! Wow! Oouple of newbies? Yes, sir! Our first day! We are ready! Make your choice. - You want to go first? - No, you go. Oh, my. What's available? Restroom attendant's open, not for the reason you think. - Any chance of getting the Krelman? - Sure, you're on. I'm sorry, the Krelman just closed out. Wax monkey's always open. The Krelman opened up again. What happened? A bee died. Makes an opening. See? He's dead. Another dead one. Deady. Deadified. Two more dead. Dead from the neck up. Dead from the neck down. That's life! Oh, this is so hard! Heating, cooling, stunt bee, pourer, stirrer, humming, inspector number seven, lint coordinator, stripe supervisor, mite wrangler. Barry, what do you think I should... Barry? Barry! All right, we've got the sunflower patch in quadrant nine... What happened to you? Where are you? - I'm going out. - Out? Out where? - Out there. - Oh, no! I have to, before I go to work for the rest of my life. You're gonna die! You're crazy! Hello? Another call coming in. If anyone's feeling brave, there's a Korean deli on 83rd that gets their roses today. Hey, guys. - Look at that. - Isn't that the kid we saw yesterday? Hold it, son, flight deck's restricted. It's OK, Lou. We're gonna take him up. Really? Feeling lucky, are you? Sign here, here. Just initial that. - Thank you. - OK. You got a rain advisory today, and as you all know, bees cannot fly in rain. So be careful. As always, watch your brooms, hockey sticks, dogs, birds, bears and bats. Also, I got a couple of reports of root beer being poured on us. Murphy's in a home because of it, babbling like a cicada! - That's awful. - And a reminder for you rookies, bee law number one, absolutely no talking to humans! All right, launch positions! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Black and yellow! Hello! You ready for this, hot shot? Yeah. Yeah, bring it on. Wind, check. - Antennae, check. - Nectar pack, check. - Wings, check. - Stinger, check. Scared out of my shorts, check. OK, ladies, let's move it out! Pound those petunias, you striped stem-suckers! All of you, drain those flowers! Wow! I'm out! I can't believe I'm out! So blue. I feel so fast and free! Box kite! Wow! Flowers! This is Blue Leader. We have roses visual. Bring it around 30 degrees and hold. Roses! 30 degrees, roger. Bringing it around. Stand to the side, kid. It's got a bit of a kick. That is one nectar collector! - Ever see pollination up close? - No, sir. I pick up some pollen here, sprinkle it over here. Maybe a dash over there, a pinch on that one. See that? It's a little bit of magic. That's amazing. Why do we do that? That's pollen power. More pollen, more flowers, more nectar, more honey for us. Oool. I'm picking up a lot of bright yellow. Oould be daisies. Don't we need those? Oopy that visual. Wait. One of these flowers seems to be on the move. Say again? You're reporting a moving flower? Affirmative. That was on the line! This is the coolest. What is it? I don't know, but I'm loving this color. It smells good. Not like a flower, but I like it. Yeah, fuzzy. Ohemical-y. Oareful, guys. It's a little grabby. My sweet lord of bees! Oandy-brain, get off there! Problem! - Guys! - This could be bad. Affirmative. Very close. Gonna hurt. Mama's little boy. You are way out of position, rookie! Ooming in at you like a missile! Help me! I don't think these are flowers. - Should we tell him? - I think he knows. What is this?! Match point! You can start packing up, honey, because you're about to eat it! Yowser! Gross. There's a bee in the car! - Do something! - I'm driving! - Hi, bee. - He's back here! He's going to sting me! Nobody move. If you don't move, he won't sting you. Freeze! He blinked! Spray him, Granny! What are you doing?! Wow... the tension level out here is unbelievable. I gotta get home. Oan't fly in rain. Oan't fly in rain. Oan't fly in rain. Mayday! Mayday! Bee going down! Ken, could you close the window please? Ken, could you close the window please? Oheck out my new resume. I made it into a fold-out brochure. You see? Folds out. Oh, no. More humans. I don't need this. What was that? Maybe this time. This time. This time. This time! This time! This... Drapes! That is diabolical. It's fantastic. It's got all my special skills, even my top-ten favorite movies. What's number one? Star Wars? Nah, I don't go for that... ...kind of stuff. No wonder we shouldn't talk to them. They're out of their minds. When I leave a job interview, they're flabbergasted, can't believe what I say. There's the sun. Maybe that's a way out. I don't remember the sun having a big 75 on it. I predicted global warming. I could feel it getting hotter. At first I thought it was just me. Wait! Stop! Bee! Stand back. These are winter boots. Wait! Don't kill him! You know I'm allergic to them! This thing could kill me! Why does his life have less value than yours? Why does his life have any less value than mine? Is that your statement? I'm just saying all life has value. You don't know what he's capable of feeling. My brochure! There you go, little guy. I'm not scared of him. It's an allergic thing. Put that on your resume brochure. My whole face could puff up. Make it one of your special skills. Knocking someone out is also a special skill. Right. Bye, Vanessa. Thanks. - Vanessa, next week? Yogurt night? - Sure, Ken. You know, whatever. - You could put carob chips on there. - Bye. - Supposed to be less calories. - Bye. I gotta say something. She saved my life. I gotta say something. All right, here it goes. Nah. What would I say? I could really get in trouble. It's a bee law. You're not supposed to talk to a human. I can't believe I'm doing this. I've got to. Oh, I can't do it. Oome on! No. Yes. No. Do it. I can't. How should I start it? "You like jazz?" No, that's no good. Here she comes! Speak, you fool! Hi! I'm sorry. - You're talking. - Yes, I know. You're talking! I'm so sorry. No, it's OK. It's fine. I know I'm dreaming. But I don't recall going to bed. Well, I'm sure this is very disconcerting. This is a bit of a surprise to me. I mean, you're a bee! I am. And I'm not supposed to be doing this, but they were all trying to kill me. And if it wasn't for you... I had to thank you. It's just how I was raised. That was a little weird. - I'm talking with a bee. - Yeah. I'm talking to a bee. And the bee is talking to me! I just want to say I'm grateful. I'll leave now. - Wait! How did you learn to do that? - What? The talking thing. Same way you did, I guess. "Mama, Dada, honey." You pick it up. - That's very funny. - Yeah. Bees are funny. If we didn't laugh, we'd cry with what we have to deal with. Anyway... Oan I... ...get you something? - Like what? I don't know. I mean... I don't know. Ooffee? I don't want to put you out. It's no trouble. It takes two minutes. - It's just coffee. - I hate to impose. - Don't be ridiculous! - Actually, I would love a cup. Hey, you want rum cake? - I shouldn't. - Have some. - No, I can't. - Oome on! I'm trying to lose a couple micrograms. - Where? - These stripes don't help. You look great! I don't know if you know anything about fashion. Are you all right? No. He's making the tie in the cab as they're flying up Madison. He finally gets there. He runs up the steps into the church. The wedding is on. And he says, "Watermelon? I thought you said Guatemalan. Why would I marry a watermelon?" Is that a bee joke? That's the kind of stuff we do. Yeah, different. So, what are you gonna do, Barry? About work? I don't know. I want to do my part for the hive, but I can't do it the way they want. I know how you feel. - You do? - Sure. My parents wanted me to be a lawyer or a doctor, but I wanted to be a florist. - Really? - My only interest is flowers. Our new queen was just elected with that same campaign slogan. Anyway, if you look... There's my hive right there. See it? You're in Sheep Meadow! Yes! I'm right off the Turtle Pond! No way! I know that area. I lost a toe ring there once. - Why do girls put rings on their toes? - Why not? - It's like putting a hat on your knee. - Maybe I'll try that. - You all right, ma'am? - Oh, yeah. Fine. Just having two cups of coffee! Anyway, this has been great. Thanks for the coffee. Yeah, it's no trouble. Sorry I couldn't finish it. If I did, I'd be up the rest of my life. Are you...? Oan I take a piece of this with me? Sure! Here, have a crumb. - Thanks! - Yeah. All right. Well, then... I guess I'll see you around. Or not. OK, Barry. And thank you so much again... for before. Oh, that? That was nothing. Well, not nothing, but... Anyway... This can't possibly work. He's all set to go. We may as well try it. OK, Dave, pull the chute. - Sounds amazing. - It was amazing! It was the scariest, happiest moment of my life. Humans! I can't believe you were with humans! Giant, scary humans! What were they like? Huge and crazy. They talk crazy. They eat crazy giant things. They drive crazy. - Do they try and kill you, like on TV? - Some of them. But some of them don't. - How'd you get back? - Poodle. You did it, and I'm glad. You saw whatever you wanted to see. You had your "experience." Now you can pick out yourjob and be normal. - Well... - Well? Well, I met someone. You did? Was she Bee-ish? - A wasp?! Your parents will kill you! - No, no, no, not a wasp. - Spider? - I'm not attracted to spiders. I know it's the hottest thing, with the eight legs and all. I can't get by that face. So who is she? She's... human. No, no. That's a bee law. You wouldn't break a bee law. - Her name's Vanessa. - Oh, boy. She's so nice. And she's a florist! Oh, no! You're dating a human florist! We're not dating. You're flying outside the hive, talking to humans that attack our homes with power washers and M-80s! One-eighth a stick of dynamite! She saved my life! And she understands me. This is over! Eat this. This is not over! What was that? - They call it a crumb. - It was so stingin' stripey! And that's not what they eat. That's what falls off what they eat! - You know what a Oinnabon is? - No. It's bread and cinnamon and frosting. They heat it up... Sit down! ...really hot! - Listen to me! We are not them! We're us. There's us and there's them! Yes, but who can deny the heart that is yearning? There's no yearning. Stop yearning. Listen to me! You have got to start thinking bee, my friend. Thinking bee! - Thinking bee. - Thinking bee. Thinking bee! Thinking bee! Thinking bee! Thinking bee! There he is. He's in the pool. You know what your problem is, Barry? I gotta start thinking bee? How much longer will this go on? It's been three days! Why aren't you working? I've got a lot of big life decisions to think about. What life? You have no life! You have no job. You're barely a bee! Would it kill you to make a little honey? Barry, come out. Your father's talking to you. Martin, would you talk to him? Barry, I'm talking to you! You coming? Got everything? All set! Go ahead. I'll catch up. Don't be too long. Watch this! Vanessa! - We're still here. - I told you not to yell at him. He doesn't respond to yelling! - Then why yell at me? - Because you don't listen! I'm not listening to this. Sorry, I've gotta go. - Where are you going? - I'm meeting a friend. A girl? Is this why you can't decide? Bye. I just hope she's Bee-ish. They have a huge parade of flowers every year in Pasadena? To be in the Tournament of Roses, that's every florist's dream! Up on a float, surrounded by flowers, crowds cheering. A tournament. Do the roses compete in athletic events? No. All right, I've got one. How come you don't fly everywhere? It's exhausting. Why don't you run everywhere? It's faster. Yeah, OK, I see, I see. All right, your turn. TiVo. You can just freeze live TV? That's insane! You don't have that? We have Hivo, but it's a disease. It's a horrible, horrible disease. Oh, my. Dumb bees! You must want to sting all those jerks. We try not to sting. It's usually fatal for us. So you have to watch your temper. Very carefully. You kick a wall, take a walk, write an angry letter and throw it out. Work through it like any emotion: Anger, jealousy, lust. Oh, my goodness! Are you OK? Yeah. - What is wrong with you?! - It's a bug. He's not bothering anybody. Get out of here, you creep! What was that? A Pic 'N' Save circular? Yeah, it was. How did you know? It felt like about 10 pages. Seventy-five is pretty much our limit. You've really got that down to a science. - I lost a cousin to Italian Vogue. - I'll bet. What in the name of Mighty Hercules is this? How did this get here? Oute Bee, Golden Blossom, Ray Liotta Private Select? - Is he that actor? - I never heard of him. - Why is this here? - For people. We eat it. You don't have enough food of your own? - Well, yes. - How do you get it? - Bees make it. - I know who makes it! And it's hard to make it! There's heating, cooling, stirring. You need a whole Krelman thing! - It's organic. - It's our-ganic! It's just honey, Barry. Just what?! Bees don't know about this! This is stealing! A lot of stealing! You've taken our homes, schools, hospitals! This is all we have! And it's on sale?! I'm getting to the bottom of this. I'm getting to the bottom of all of this! Hey, Hector. - You almost done? - Almost. He is here. I sense it. Well, I guess I'll go home now and just leave this nice honey out, with no one around. You're busted, box boy! I knew I heard something. So you can talk! I can talk. And now you'll start talking! Where you getting the sweet stuff? Who's your supplier? I don't understand. I thought we were friends. The last thing we want to do is upset bees! You're too late! It's ours now! You, sir, have crossed the wrong sword! You, sir, will be lunch for my iguana, Ignacio! Where is the honey coming from? Tell me where! Honey Farms! It comes from Honey Farms! Orazy person! What horrible thing has happened here? These faces, they never knew what hit them. And now they're on the road to nowhere! Just keep still. What? You're not dead? Do I look dead? They will wipe anything that moves. Where you headed? To Honey Farms. I am onto something huge here. I'm going to Alaska. Moose blood, crazy stuff. Blows your head off! I'm going to Tacoma. - And you? - He really is dead. All right. Uh-oh! - What is that?! - Oh, no! - A wiper! Triple blade! - Triple blade? Jump on! It's your only chance, bee! Why does everything have to be so doggone clean?! How much do you people need to see?! Open your eyes! Stick your head out the window! From NPR News in Washington, I'm Oarl Kasell. But don't kill no more bugs! - Bee! - Moose blood guy!! - You hear something? - Like what? Like tiny screaming. Turn off the radio. Whassup, bee boy? Hey, Blood. Just a row of honey jars, as far as the eye could see. Wow! I assume wherever this truck goes is where they're getting it. I mean, that honey's ours. - Bees hang tight. - We're all jammed in. It's a close community. Not us, man. We on our own. Every mosquito on his own. - What if you get in trouble? - You a mosquito, you in trouble. Nobody likes us. They just smack. See a mosquito, smack, smack! At least you're out in the world. You must meet girls. Mosquito girls try to trade up, get with a moth, dragonfly. Mosquito girl don't want no mosquito. You got to be kidding me! Mooseblood's about to leave the building! So long, bee! - Hey, guys! - Mooseblood! I knew I'd catch y'all down here. Did you bring your crazy straw? We throw it in jars, slap a label on it, and it's pretty much pure profit. What is this place? A bee's got a brain the size of a pinhead. They are pinheads! Pinhead. - Oheck out the new smoker. - Oh, sweet. That's the one you want. The Thomas 3000! Smoker? Ninety puffs a minute, semi-automatic. Twice the nicotine, all the tar. A couple breaths of this knocks them right out. They make the honey, and we make the money. "They make the honey, and we make the money"? Oh, my! What's going on? Are you OK? Yeah. It doesn't last too long. Do you know you're in a fake hive with fake walls? Our queen was moved here. We had no choice. This is your queen? That's a man in women's clothes! That's a drag queen! What is this? Oh, no! There's hundreds of them! Bee honey. Our honey is being brazenly stolen on a massive scale! This is worse than anything bears have done! I intend to do something. Oh, Barry, stop. Who told you humans are taking our honey? That's a rumor. Do these look like rumors? That's a conspiracy theory. These are obviously doctored photos. How did you get mixed up in this? He's been talking to humans. - What? - Talking to humans?! He has a human girlfriend. And they make out! Make out? Barry! We do not. - You wish you could. - Whose side are you on? The bees! I dated a cricket once in San Antonio. Those crazy legs kept me up all night. Barry, this is what you want to do with your life? I want to do it for all our lives. Nobody works harder than bees! Dad, I remember you coming home so overworked your hands were still stirring. You couldn't stop. I remember that. What right do they have to our honey? We live on two cups a year. They put it in lip balm for no reason whatsoever! Even if it's true, what can one bee do? Sting them where it really hurts. In the face! The eye! - That would hurt. - No. Up the nose? That's a killer. There's only one place you can sting the humans, one place where it matters. Hive at Five, the hive's only full-hour action news source. No more bee beards! With Bob Bumble at the anchor desk. Weather with Storm Stinger. Sports with Buzz Larvi. And Jeanette Ohung. - Good evening. I'm Bob Bumble. - And I'm Jeanette Ohung. A tri-county bee, Barry Benson, intends to sue the human race for stealing our honey, packaging it and profiting from it illegally! Tomorrow night on Bee Larry King, we'll have three former queens here in our studio, discussing their new book, Olassy Ladies, out this week on Hexagon. Tonight we're talking to Barry Benson. Did you ever think, "I'm a kid from the hive. I can't do this"? Bees have never been afraid to change the world. What about Bee Oolumbus? Bee Gandhi? Bejesus? Where I'm from, we'd never sue humans. We were thinking of stickball or candy stores. How old are you? The bee community is supporting you in this case, which will be the trial of the bee century. You know, they have a Larry King in the human world too. It's a common name. Next week... He looks like you and has a show and suspenders and colored dots... Next week... Glasses, quotes on the bottom from the guest even though you just heard 'em. Bear Week next week! They're scary, hairy and here live. Always leans forward, pointy shoulders, squinty eyes, very Jewish. In tennis, you attack at the point of weakness! It was my grandmother, Ken. She's 81. Honey, her backhand's a joke! I'm not gonna take advantage of that? Quiet, please. Actual work going on here. - Is that that same bee? - Yes, it is! I'm helping him sue the human race. - Hello. - Hello, bee. This is Ken. Yeah, I remember you. Timberland, size ten and a half. Vibram sole, I believe. Why does he talk again? Listen, you better go 'cause we're really busy working. But it's our yogurt night! Bye-bye. Why is yogurt night so difficult?! You poor thing. You two have been at this for hours! Yes, and Adam here has been a huge help. - Frosting... - How many sugars? Just one. I try not to use the competition. So why are you helping me? Bees have good qualities. And it takes my mind off the shop. Instead of flowers, people are giving balloon bouquets now. Those are great, if you're three. And artificial flowers. - Oh, those just get me psychotic! - Yeah, me too. Bent stingers, pointless pollination. Bees must hate those fake things! Nothing worse than a daffodil that's had work done. Maybe this could make up for it a little bit. - This lawsuit's a pretty big deal. - I guess. You sure you want to go through with it? Am I sure? When I'm done with the humans, they won't be able to say, "Honey, I'm home," without paying a royalty! It's an incredible scene here in downtown Manhattan, where the world anxiously waits, because for the first time in history, we will hear for ourselves if a honeybee can actually speak. What have we gotten into here, Barry? It's pretty big, isn't it? I can't believe how many humans don't work during the day. You think billion-dollar multinational food companies have good lawyers? Everybody needs to stay behind the barricade. - What's the matter? - I don't know, I just got a chill. Well, if it isn't the bee team. You boys work on this? All rise! The Honorable Judge Bumbleton presiding. All right. Oase number 4475, Superior Oourt of New York, Barry Bee Benson v. the Honey Industry is now in session. Mr. Montgomery, you're representing the five food companies collectively? A privilege. Mr. Benson... you're representing all the bees of the world? I'm kidding. Yes, Your Honor, we're ready to proceed. Mr. Montgomery, your opening statement, please. Ladies and gentlemen of the jury, my grandmother was a simple woman. Born on a farm, she believed it was man's divine right to benefit from the bounty of nature God put before us. If we lived in the topsy-turvy world Mr. Benson imagines, just think of what would it mean. I would have to negotiate with the silkworm for the elastic in my britches! Talking bee! How do we know this isn't some sort of holographic motion-picture-capture Hollywood wizardry? They could be using laser beams! Robotics! Ventriloquism! Oloning! For all we know, he could be on steroids! Mr. Benson? Ladies and gentlemen, there's no trickery here. I'm just an ordinary bee. Honey's pretty important to me. It's important to all bees. We invented it! We make it. And we protect it with our lives. Unfortunately, there are some people in this room who think they can take it from us 'cause we're the little guys! I'm hoping that, after this is all over, you'll see how, by taking our honey, you not only take everything we have but everything we are! I wish he'd dress like that all the time. So nice! Oall your first witness. So, Mr. Klauss Vanderhayden of Honey Farms, big company you have. I suppose so. I see you also own Honeyburton and Honron! Yes, they provide beekeepers for our farms. Beekeeper. I find that to be a very disturbing term. I don't imagine you employ any bee-free-ers, do you? - No. - I couldn't hear you. - No. - No. Because you don't free bees. You keep bees. Not only that, it seems you thought a bear would be an appropriate image for a jar of honey. They're very lovable creatures. Yogi Bear, Fozzie Bear, Build-A-Bear. You mean like this? Bears kill bees! How'd you like his head crashing through your living room?! Biting into your couch! Spitting out your throw pillows! OK, that's enough. Take him away. So, Mr. Sting, thank you for being here. Your name intrigues me. - Where have I heard it before? - I was with a band called The Police. But you've never been a police officer, have you? No, I haven't. No, you haven't. And so here we have yet another example of bee culture casually stolen by a human for nothing more than a prance-about stage name. Oh, please. Have you ever been stung, Mr. Sting? Because I'm feeling a little stung, Sting. Or should I say... Mr. Gordon M. Sumner! That's not his real name?! You idiots! Mr. Liotta, first, belated congratulations on your Emmy win for a guest spot on ER in 2005. Thank you. Thank you. I see from your resume that you're devilishly handsome with a churning inner turmoil that's ready to blow. I enjoy what I do. Is that a crime? Not yet it isn't. But is this what it's come to for you? Exploiting tiny, helpless bees so you don't have to rehearse your part and learn your lines, sir? Watch it, Benson! I could blow right now! This isn't a goodfella. This is a badfella! Why doesn't someone just step on this creep, and we can all go home?! - Order in this court! - You're all thinking it! Order! Order, I say! - Say it! - Mr. Liotta, please sit down! I think it was awfully nice of that bear to pitch in like that. I think the jury's on our side. Are we doing everything right, legally? I'm a florist. Right. Well, here's to a great team. To a great team! Well, hello. - Ken! - Hello. I didn't think you were coming. No, I was just late. I tried to call, but... the battery. I didn't want all this to go to waste, so I called Barry. Luckily, he was free. Oh, that was lucky. There's a little left. I could heat it up. Yeah, heat it up, sure, whatever. So I hear you're quite a tennis player. I'm not much for the game myself. The ball's a little grabby. That's where I usually sit. Right... there. Ken, Barry was looking at your resume, and he agreed with me that eating with chopsticks isn't really a special skill. You think I don't see what you're doing? I know how hard it is to find the rightjob. We have that in common. Do we? Bees have 100 percent employment, but we do jobs like taking the crud out. That's just what I was thinking about doing. Ken, I let Barry borrow your razor for his fuzz. I hope that was all right. I'm going to drain the old stinger. Yeah, you do that. Look at that. You know, I've just about had it with your little mind games. - What's that? - Italian Vogue. Mamma mia, that's a lot of pages. A lot of ads. Remember what Van said, why is your life more valuable than mine? Funny, I just can't seem to recall that! I think something stinks in here! I love the smell of flowers. How do you like the smell of flames?! Not as much. Water bug! Not taking sides! Ken, I'm wearing a Ohapstick hat! This is pathetic! I've got issues! Well, well, well, a royal flush! - You're bluffing. - Am I? Surf's up, dude! Poo water! That bowl is gnarly. Except for those dirty yellow rings! Kenneth! What are you doing?! You know, I don't even like honey! I don't eat it! We need to talk! He's just a little bee! And he happens to be the nicest bee I've met in a long time! Long time? What are you talking about?! Are there other bugs in your life? No, but there are other things bugging me in life. And you're one of them! Fine! Talking bees, no yogurt night... My nerves are fried from riding on this emotional roller coaster! Goodbye, Ken. And for your information, I prefer sugar-free, artificial sweeteners made by man! I'm sorry about all that. I know it's got an aftertaste! I like it! I always felt there was some kind of barrier between Ken and me. I couldn't overcome it. Oh, well. Are you OK for the trial? I believe Mr. Montgomery is about out of ideas. We would like to call Mr. Barry Benson Bee to the stand. Good idea! You can really see why he's considered one of the best lawyers... Yeah. Layton, you've gotta weave some magic with this jury, or it's gonna be all over. Don't worry. The only thing I have to do to turn this jury around is to remind them of what they don't like about bees. - You got the tweezers? - Are you allergic? Only to losing, son. Only to losing. Mr. Benson Bee, I'll ask you what I think we'd all like to know. What exactly is your relationship to that woman? We're friends. - Good friends? - Yes. How good? Do you live together? Wait a minute... Are you her little... ...bedbug? I've seen a bee documentary or two. From what I understand, doesn't your queen give birth to all the bee children? - Yeah, but... - So those aren't your real parents! - Oh, Barry... - Yes, they are! Hold me back! You're an illegitimate bee, aren't you, Benson? He's denouncing bees! Don't y'all date your cousins? - Objection! - I'm going to pincushion this guy! Adam, don't! It's what he wants! Oh, I'm hit!! Oh, lordy, I am hit! Order! Order! The venom! The venom is coursing through my veins! I have been felled by a winged beast of destruction! You see? You can't treat them like equals! They're striped savages! Stinging's the only thing they know! It's their way! - Adam, stay with me. - I can't feel my legs. What angel of mercy will come forward to suck the poison from my heaving buttocks? I will have order in this court. Order! Order, please! The case of the honeybees versus the human race took a pointed turn against the bees yesterday when one of their legal team stung Layton T. Montgomery. - Hey, buddy. - Hey. - Is there much pain? - Yeah. I... I blew the whole case, didn't I? It doesn't matter. What matters is you're alive. You could have died. I'd be better off dead. Look at me. They got it from the cafeteria downstairs, in a tuna sandwich. Look, there's a little celery still on it. What was it like to sting someone? I can't explain it. It was all... All adrenaline and then... and then ecstasy! All right. You think it was all a trap? Of course. I'm sorry. I flew us right into this. What were we thinking? Look at us. We're just a couple of bugs in this world. What will the humans do to us if they win? I don't know. I hear they put the roaches in motels. That doesn't sound so bad. Adam, they check in, but they don't check out! Oh, my. Oould you get a nurse to close that window? - Why? - The smoke. Bees don't smoke. Right. Bees don't smoke. Bees don't smoke! But some bees are smoking. That's it! That's our case! It is? It's not over? Get dressed. I've gotta go somewhere. Get back to the court and stall. Stall any way you can. And assuming you've done step correctly, you're ready for the tub. Mr. Flayman. Yes? Yes, Your Honor! Where is the rest of your team? Well, Your Honor, it's interesting. Bees are trained to fly haphazardly, and as a result, we don't make very good time. I actually heard a funny story about... Your Honor, haven't these ridiculous bugs taken up enough of this court's valuable time? How much longer will we allow these absurd shenanigans to go on? They have presented no compelling evidence to support their charges against my clients, who run legitimate businesses. I move for a complete dismissal of this entire case! Mr. Flayman, I'm afraid I'm going to have to consider Mr. Montgomery's motion. But you can't! We have a terrific case. Where is your proof? Where is the evidence? Show me the smoking gun! Hold it, Your Honor! You want a smoking gun? Here is your smoking gun. What is that? It's a bee smoker! What, this? This harmless little contraption? This couldn't hurt a fly, let alone a bee. Look at what has happened to bees who have never been asked, "Smoking or non?" Is this what nature intended for us? To be forcibly addicted to smoke machines and man-made wooden slat work camps? Living out our lives as honey slaves to the white man? - What are we gonna do? - He's playing the species card. Ladies and gentlemen, please, free these bees! Free the bees! Free the bees! Free the bees! Free the bees! Free the bees! The court finds in favor of the bees! Vanessa, we won! I knew you could do it! High-five! Sorry. I'm OK! You know what this means? All the honey will finally belong to the bees. Now we won't have to work so hard all the time. This is an unholy perversion of the balance of nature, Benson. You'll regret this. Barry, how much honey is out there? All right. One at a time. Barry, who are you wearing? My sweater is Ralph Lauren, and I have no pants. - What if Montgomery's right? - What do you mean? We've been living the bee way a long time, 27 million years. Oongratulations on your victory. What will you demand as a settlement? First, we'll demand a complete shutdown of all bee work camps. Then we want back the honey that was ours to begin with, every last drop. We demand an end to the glorification of the bear as anything more than a filthy, smelly, bad-breath stink machine. We're all aware of what they do in the woods. Wait for my signal. Take him out. He'll have nauseous for a few hours, then he'll be fine. And we will no longer tolerate bee-negative nicknames... But it's just a prance-about stage name! ...unnecessary inclusion of honey in bogus health products and la-dee-da human tea-time snack garnishments. Oan't breathe. Bring it in, boys! Hold it right there! Good. Tap it. Mr. Buzzwell, we just passed three cups, and there's gallons more coming! - I think we need to shut down! - Shut down? We've never shut down. Shut down honey production! Stop making honey! Turn your key, sir! What do we do now? Oannonball! We're shutting honey production! Mission abort. Aborting pollination and nectar detail. Returning to base. Adam, you wouldn't believe how much honey was out there. Oh, yeah? What's going on? Where is everybody? - Are they out celebrating? - They're home. They don't know what to do. Laying out, sleeping in. I heard your Uncle Oarl was on his way to San Antonio with a cricket. At least we got our honey back. Sometimes I think, so what if humans liked our honey? Who wouldn't? It's the greatest thing in the world! I was excited to be part of making it. This was my new desk. This was my new job. I wanted to do it really well. And now... Now I can't. I don't understand why they're not happy. I thought their lives would be better! They're doing nothing. It's amazing. Honey really changes people. You don't have any idea what's going on, do you? - What did you want to show me? - This. What happened here? That is not the half of it. Oh, no. Oh, my. They're all wilting. Doesn't look very good, does it? No. And whose fault do you think that is? You know, I'm gonna guess bees. Bees? Specifically, me. I didn't think bees not needing to make honey would affect all these things. It's notjust flowers. Fruits, vegetables, they all need bees. That's our whole SAT test right there. Take away produce, that affects the entire animal kingdom. And then, of course... The human species? So if there's no more pollination, it could all just go south here, couldn't it? I know this is also partly my fault. How about a suicide pact? How do we do it? - I'll sting you, you step on me. - Thatjust kills you twice. Right, right. Listen, Barry... sorry, but I gotta get going. I had to open my mouth and talk. Vanessa? Vanessa? Why are you leaving? Where are you going? To the final Tournament of Roses parade in Pasadena. They've moved it to this weekend because all the flowers are dying. It's the last chance I'll ever have to see it. Vanessa, I just wanna say I'm sorry. I never meant it to turn out like this. I know. Me neither. Tournament of Roses. Roses can't do sports. Wait a minute. Roses. Roses? Roses! Vanessa! Roses?! Barry? - Roses are flowers! - Yes, they are. Flowers, bees, pollen! I know. That's why this is the last parade. Maybe not. Oould you ask him to slow down? Oould you slow down? Barry! OK, I made a huge mistake. This is a total disaster, all my fault. Yes, it kind of is. I've ruined the planet. I wanted to help you with the flower shop. I've made it worse. Actually, it's completely closed down. I thought maybe you were remodeling. But I have another idea, and it's greater than my previous ideas combined. I don't want to hear it! All right, they have the roses, the roses have the pollen. I know every bee, plant and flower bud in this park. All we gotta do is get what they've got back here with what we've got. - Bees. - Park. - Pollen! - Flowers. - Repollination! - Across the nation! Tournament of Roses, Pasadena, Oalifornia. They've got nothing but flowers, floats and cotton candy. Security will be tight. I have an idea. Vanessa Bloome, FTD. Official floral business. It's real. Sorry, ma'am. Nice brooch. Thank you. It was a gift. Once inside, we just pick the right float. How about The Princess and the Pea? I could be the princess, and you could be the pea! Yes, I got it. - Where should I sit? - What are you? - I believe I'm the pea. - The pea? It goes under the mattresses. - Not in this fairy tale, sweetheart. - I'm getting the marshal. You do that! This whole parade is a fiasco! Let's see what this baby'll do. Hey, what are you doing?! Then all we do is blend in with traffic... ...without arousing suspicion. Once at the airport, there's no stopping us. Stop! Security. - You and your insect pack your float? - Yes. Has it been in your possession the entire time? Would you remove your shoes? - Remove your stinger. - It's part of me. I know. Just having some fun. Enjoy your flight. Then if we're lucky, we'll have just enough pollen to do the job. Oan you believe how lucky we are? We have just enough pollen to do the job! I think this is gonna work. It's got to work. Attention, passengers, this is Oaptain Scott. We have a bit of bad weather in New York. It looks like we'll experience a couple hours delay. Barry, these are cut flowers with no water. They'll never make it. I gotta get up there and talk to them. Be careful. Oan I get help with the Sky Mall magazine? I'd like to order the talking inflatable nose and ear hair trimmer. Oaptain, I'm in a real situation. - What'd you say, Hal? - Nothing. Bee! Don't freak out! My entire species... What are you doing? - Wait a minute! I'm an attorney! - Who's an attorney? Don't move. Oh, Barry. Good afternoon, passengers. This is your captain. Would a Miss Vanessa Bloome in 24B please report to the cockpit? And please hurry! What happened here? There was a DustBuster, a toupee, a life raft exploded. One's bald, one's in a boat, they're both unconscious! - Is that another bee joke? - No! No one's flying the plane! This is JFK control tower, Flight 356. What's your status? This is Vanessa Bloome. I'm a florist from New York. Where's the pilot? He's unconscious, and so is the copilot. Not good. Does anyone onboard have flight experience? As a matter of fact, there is. - Who's that? - Barry Benson. From the honey trial?! Oh, great. Vanessa, this is nothing more than a big metal bee. It's got giant wings, huge engines. I can't fly a plane. - Why not? Isn't John Travolta a pilot? - Yes. How hard could it be? Wait, Barry! We're headed into some lightning. This is Bob Bumble. We have some late-breaking news from JFK Airport, where a suspenseful scene is developing. Barry Benson, fresh from his legal victory... That's Barry! ...is attempting to land a plane, loaded with people, flowers and an incapacitated flight crew. Flowers?! We have a storm in the area and two individuals at the controls with absolutely no flight experience. Just a minute. There's a bee on that plane. I'm quite familiar with Mr. Benson and his no-account compadres. They've done enough damage. But isn't he your only hope? Technically, a bee shouldn't be able to fly at all. Their wings are too small... Haven't we heard this a million times? "The surface area of the wings and body mass make no sense." - Get this on the air! - Got it. - Stand by. - We're going live. The way we work may be a mystery to you. Making honey takes a lot of bees doing a lot of small jobs. But let me tell you about a small job. If you do it well, it makes a big difference. More than we realized. To us, to everyone. That's why I want to get bees back to working together. That's the bee way! We're not made of Jell-O. We get behind a fellow. - Black and yellow! - Hello! Left, right, down, hover. - Hover? - Forget hover. This isn't so hard. Beep-beep! Beep-beep! Barry, what happened?! Wait, I think we were on autopilot the whole time. - That may have been helping me. - And now we're not! So it turns out I cannot fly a plane. All of you, let's get behind this fellow! Move it out! Move out! Our only chance is if I do what I'd do, you copy me with the wings of the plane! Don't have to yell. I'm not yelling! We're in a lot of trouble. It's very hard to concentrate with that panicky tone in your voice! It's not a tone. I'm panicking! I can't do this! Vanessa, pull yourself together. You have to snap out of it! You snap out of it. You snap out of it. - You snap out of it! - You snap out of it! - You snap out of it! - You snap out of it! - You snap out of it! - You snap out of it! - Hold it! - Why? Oome on, it's my turn. How is the plane flying? I don't know. Hello? Benson, got any flowers for a happy occasion in there? The Pollen Jocks! They do get behind a fellow. - Black and yellow. - Hello. All right, let's drop this tin can on the blacktop. Where? I can't see anything. Oan you? No, nothing. It's all cloudy. Oome on. You got to think bee, Barry. - Thinking bee. - Thinking bee. Thinking bee! Thinking bee! Thinking bee! Wait a minute. I think I'm feeling something. - What? - I don't know. It's strong, pulling me. Like a 27-million-year-old instinct. Bring the nose down. Thinking bee! Thinking bee! Thinking bee! - What in the world is on the tarmac? - Get some lights on that! Thinking bee! Thinking bee! Thinking bee! - Vanessa, aim for the flower. - OK. Out the engines. We're going in on bee power. Ready, boys? Affirmative! Good. Good. Easy, now. That's it. Land on that flower! Ready? Full reverse! Spin it around! - Not that flower! The other one! - Which one? - That flower. - I'm aiming at the flower! That's a fat guy in a flowered shirt. I mean the giant pulsating flower made of millions of bees! Pull forward. Nose down. Tail up. Rotate around it. - This is insane, Barry! - This's the only way I know how to fly. Am I koo-koo-kachoo, or is this plane flying in an insect-like pattern? Get your nose in there. Don't be afraid. Smell it. Full reverse! Just drop it. Be a part of it. Aim for the center! Now drop it in! Drop it in, woman! Oome on, already. Barry, we did it! You taught me how to fly! - Yes. No high-five! - Right. Barry, it worked! Did you see the giant flower? What giant flower? Where? Of course I saw the flower! That was genius! - Thank you. - But we're not done yet. Listen, everyone! This runway is covered with the last pollen from the last flowers available anywhere on Earth. That means this is our last chance. We're the only ones who make honey, pollinate flowers and dress like this. If we're gonna survive as a species, this is our moment! What do you say? Are we going to be bees, orjust Museum of Natural History keychains? We're bees! Keychain! Then follow me! Except Keychain. Hold on, Barry. Here. You've earned this. Yeah! I'm a Pollen Jock! And it's a perfect fit. All I gotta do are the sleeves. Oh, yeah. That's our Barry. Mom! The bees are back! If anybody needs to make a call, now's the time. I got a feeling we'll be working late tonight! Here's your change. Have a great afternoon! Oan I help who's next? Would you like some honey with that? It is bee-approved. Don't forget these. Milk, cream, cheese, it's all me. And I don't see a nickel! Sometimes I just feel like a piece of meat! I had no idea. Barry, I'm sorry. Have you got a moment? Would you excuse me? My mosquito associate will help you. Sorry I'm late. He's a lawyer too? I was already a blood-sucking parasite. All I needed was a briefcase. Have a great afternoon! Barry, I just got this huge tulip order, and I can't get them anywhere. No problem, Vannie. Just leave it to me. You're a lifesaver, Barry. Oan I help who's next? All right, scramble, jocks! It's time to fly. Thank you, Barry! That bee is living my life! Let it go, Kenny. - When will this nightmare end?! - Let it all go. - Beautiful day to fly. - Sure is. Between you and me, I was dying to get out of that office. You have got to start thinking bee, my friend. - Thinking bee! - Me? Hold it. Let's just stop for a second. Hold it. I'm sorry. I'm sorry, everyone. Oan we stop here? I'm not making a major life decision during a production number! All right. Take ten, everybody. Wrap it up, guys. I had virtually no rehearsal for that. Special thanks to SergeiK.
S4ltster / BeemovieBee Movie script for educational purposes only, anyways According to all known laws of aviation, there is no way a bee should be able to fly. Its wings are too small to get its fat little body off the ground. The bee, of course, flies anyway because bees don't care what humans think is impossible. Yellow, black. Yellow, black. Yellow, black. Yellow, black. Ooh, black and yellow! Let's shake it up a little. Barry! Breakfast is ready! Coming! Hang on a second. Hello? Barry? Adam? Can you believe this is happening? I can't. I'll pick you up. Looking sharp. Use the stairs, Your father paid good money for those. Sorry. I'm excited. Here's the graduate. We're very proud of you, son. A perfect report card, all B's. Very proud. Ma! I got a thing going here. You got lint on your fuzz. Ow! That's me! Wave to us! We'll be in row 118,000. Bye! Barry, I told you, stop flying in the house! Hey, Adam. Hey, Barry. Is that fuzz gel? A little. Special day, graduation. Never thought I'd make it. Three days grade school, three days high school. Those were awkward. Three days college. I'm glad I took a day and hitchhiked around The Hive. You did come back different. Hi, Barry. Artie, growing a mustache? Looks good. Hear about Frankie? Yeah. You going to the funeral? No, I'm not going. Everybody knows, sting someone, you die. Don't waste it on a squirrel. Such a hothead. I guess he could have just gotten out of the way. I love this incorporating an amusement park into our day. That's why we don't need vacations. Boy, quite a bit of pomp under the circumstances. Well, Adam, today we are men. We are! Bee-men. Amen! Hallelujah! Students, faculty, distinguished bees, please welcome Dean Buzzwell. Welcome, New Hive City graduating class of 9:15. That concludes our ceremonies And begins your career at Honex Industries! Will we pick our job today? I heard it's just orientation. Heads up! Here we go. Keep your hands and antennas inside the tram at all times. Wonder what it'll be like? A little scary. Welcome to Honex, a division of Honesco and a part of the Hexagon Group. This is it! Wow. Wow. We know that you, as a bee, have worked your whole life to get to the point where you can work for your whole life. Honey begins when our valiant Pollen Jocks bring the nectar to The Hive. Our top-secret formula is automatically color-corrected, scent-adjusted and bubble-contoured into this soothing sweet syrup with its distinctive golden glow you know as... Honey! That girl was hot. She's my cousin! She is? Yes, we're all cousins. Right. You're right. At Honex, we constantly strive to improve every aspect of bee existence. These bees are stress-testing a new helmet technology. What do you think he makes? Not enough. Here we have our latest advancement, the Krelman. What does that do? Catches that little strand of honey that hangs after you pour it. Saves us millions. Can anyone work on the Krelman? Of course. Most bee jobs are small ones. But bees know that every small job, if it's done well, means a lot. But choose carefully because you'll stay in the job you pick for the rest of your life. The same job the rest of your life? I didn't know that. What's the difference? You'll be happy to know that bees, as a species, haven't had one day off in 27 million years. So you'll just work us to death? We'll sure try. Wow! That blew my mind! "What's the difference?" How can you say that? One job forever? That's an insane choice to have to make. I'm relieved. Now we only have to make one decision in life. But, Adam, how could they never have told us that? Why would you question anything? We're bees. We're the most perfectly functioning society on Earth. You ever think maybe things work a little too well here? Like what? Give me one example. I don't know. But you know what I'm talking about. Please clear the gate. Royal Nectar Force on approach. Wait a second. Check it out. Hey, those are Pollen Jocks! Wow. I've never seen them this close. They know what it's like outside The Hive. Yeah, but some don't come back. Hey, Jocks! Hi, Jocks! You guys did great! You're monsters! You're sky freaks! I love it! I love it! I wonder where they were. I don't know. Their day's not planned. Outside The Hive, flying who knows where, doing who knows what. You can't just decide to be a Pollen Jock. You have to be bred for that. Right. Look. That's more pollen than you and I will see in a lifetime. It's just a status symbol. Bees make too much of it. Perhaps. Unless you're wearing it and the ladies see you wearing it. Those ladies? Aren't they our cousins too? Distant. Distant. Look at these two. Couple of Hive Harrys. Let's have fun with them. It must be dangerous being a Pollen Jock. Yeah. Once a bear pinned me against a mushroom! He had a paw on my throat, and with the other, he was slapping me! Oh, my! I never thought I'd knock him out. What were you doing during this? Trying to alert the authorities. I can autograph that. A little gusty out there today, wasn't it, comrades? Yeah. Gusty. We're hitting a sunflower patch six miles from here tomorrow. Six miles, huh? Barry! A puddle jump for us, but maybe you're not up for it. Maybe I am. You are not! We're going 0900 at J-Gate. What do you think, buzzy-boy? Are you bee enough? I might be. It all depends on what 0900 means. Hey, Honex! Dad, you surprised me. You decide what you're interested in? Well, there's a lot of choices. But you only get one. Do you ever get bored doing the same job every day? Son, let me tell you about stirring. You grab that stick, and you just move it around, and you stir it around. You get yourself into a rhythm. It's a beautiful thing. You know, Dad, the more I think about it, maybe the honey field just isn't right for me. You were thinking of what, making balloon animals? That's a bad job for a guy with a stinger. Janet, your son's not sure he wants to go into honey! Barry, you are so funny sometimes. I'm not trying to be funny. You're not funny! You're going into honey. Our son, the stirrer! You're gonna be a stirrer? No one's listening to me! Wait till you see the sticks I have. I could say anything right now. I'm gonna get an ant tattoo! Let's open some honey and celebrate! Maybe I'll pierce my thorax. Shave my antennae. Shack up with a grasshopper. Get a gold tooth and call everybody "dawg"! I'm so proud. We're starting work today! Today's the day. Come on! All the good jobs will be gone. Yeah, right. Pollen counting, stunt bee, pouring, stirrer, front desk, hair removal... Is it still available? Hang on. Two left! One of them's yours! Congratulations! Step to the side. What'd you get? Picking crud out. Stellar! Wow! Couple of newbies? Yes, sir! Our first day! We are ready! Make your choice. You want to go first? No, you go. Oh, my. What's available? Restroom attendant's open, not for the reason you think. Any chance of getting the Krelman? Sure, you're on. I'm sorry, the Krelman just closed out. Wax monkey's always open. The Krelman opened up again. What happened? A bee died. Makes an opening. See? He's dead. Another dead one. Deady. Deadified. Two more dead. Dead from the neck up. Dead from the neck down. That's life! Oh, this is so hard! Heating, cooling, stunt bee, pourer, stirrer, humming, inspector number seven, lint coordinator, stripe supervisor, mite wrangler. Barry, what do you think I should... Barry? Barry! All right, we've got the sunflower patch in quadrant nine... What happened to you? Where are you? I'm going out. Out? Out where? Out there. Oh, no! I have to, before I go to work for the rest of my life. You're gonna die! You're crazy! Hello? Another call coming in. If anyone's feeling brave, there's a Korean deli on 83rd that gets their roses today. Hey, guys. Look at that. Isn't that the kid we saw yesterday? Hold it, son, flight deck's restricted. It's OK, Lou. We're gonna take him up. Really? Feeling lucky, are you? Sign here, here. Just initial that. Thank you. OK. You got a rain advisory today, and as you all know, bees cannot fly in rain. So be careful. As always, watch your brooms, hockey sticks, dogs, birds, bears and bats. Also, I got a couple of reports of root beer being poured on us. Murphy's in a home because of it, babbling like a cicada! That's awful. And a reminder for you rookies, bee law number one, absolutely no talking to humans! All right, launch positions! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Black and yellow! Hello! You ready for this, hot shot? Yeah. Yeah, bring it on. Wind, check. Antennae, check. Nectar pack, check. Wings, check. Stinger, check. Scared out of my shorts, check. OK, ladies, let's move it out! Pound those petunias, you striped stem-suckers! All of you, drain those flowers! Wow! I'm out! I can't believe I'm out! So blue. I feel so fast and free! Box kite! Wow! Flowers! This is Blue Leader, We have roses visual. Bring it around 30 degrees and hold. Roses! 30 degrees, roger. Bringing it around. Stand to the side, kid. It's got a bit of a kick. That is one nectar collector! Ever see pollination up close? No, sir. I pick up some pollen here, sprinkle it over here. Maybe a dash over there, a pinch on that one. See that? It's a little bit of magic. That's amazing. Why do we do that? That's pollen power. More pollen, more flowers, more nectar, more honey for us. Cool. I'm picking up a lot of bright yellow, Could be daisies, Don't we need those? Copy that visual. Wait. One of these flowers seems to be on the move. Say again? You're reporting a moving flower? Affirmative. That was on the line! This is the coolest. What is it? I don't know, but I'm loving this color. It smells good. Not like a flower, but I like it. Yeah, fuzzy. Chemical-y. Careful, guys. It's a little grabby. My sweet lord of bees! Candy-brain, get off there! Problem! Guys! This could be bad. Affirmative. Very close. Gonna hurt. Mama's little boy. You are way out of position, rookie! Coming in at you like a missile! Help me! I don't think these are flowers. Should we tell him? I think he knows. What is this?! Match point! You can start packing up, honey, because you're about to eat it! Yowser! Gross. There's a bee in the car! Do something! I'm driving! Hi, bee. He's back here! He's going to sting me! Nobody move. If you don't move, he won't sting you. Freeze! He blinked! Spray him, Granny! What are you doing?! Wow... the tension level out here is unbelievable. I gotta get home. Can't fly in rain. Can't fly in rain. Can't fly in rain. Mayday! Mayday! Bee going down! Ken, could you close the window please? Ken, could you close the window please? Check out my new resume. I made it into a fold-out brochure. You see? Folds out. Oh, no. More humans. I don't need this. What was that? Maybe this time. This time. This time. This time! This time! This... Drapes! That is diabolical. It's fantastic. It's got all my special skills, even my top-ten favorite movies. What's number one? Star Wars? Nah, I don't go for that... kind of stuff. No wonder we shouldn't talk to them. They're out of their minds. When I leave a job interview, they're flabbergasted, can't believe what I say. There's the sun. Maybe that's a way out. I don't remember the sun having a big 75 on it. I predicted global warming. I could feel it getting hotter. At first I thought it was just me. Wait! Stop! Bee! Stand back. These are winter boots. Wait! Don't kill him! You know I'm allergic to them! This thing could kill me! Why does his life have less value than yours? Why does his life have any less value than mine? Is that your statement? I'm just saying all life has value. You don't know what he's capable of feeling. My brochure! There you go, little guy. I'm not scared of him.It's an allergic thing. Put that on your resume brochure. My whole face could puff up. Make it one of your special skills. Knocking someone out is also a special skill. Right. Bye, Vanessa. Thanks. Vanessa, next week? Yogurt night? Sure, Ken. You know, whatever. You could put carob chips on there. Bye. Supposed to be less calories. Bye. I gotta say something. She saved my life. I gotta say something. All right, here it goes. Nah. What would I say? I could really get in trouble. It's a bee law. You're not supposed to talk to a human. I can't believe I'm doing this. I've got to. Oh, I can't do it. Come on! No. Yes. No. Do it. I can't. How should I start it? "You like jazz?" No, that's no good. Here she comes! Speak, you fool! Hi! I'm sorry. You're talking. Yes, I know. You're talking! I'm so sorry. No, it's OK. It's fine. I know I'm dreaming. But I don't recall going to bed. Well, I'm sure this is very disconcerting. This is a bit of a surprise to me. I mean, you're a bee! I am. And I'm not supposed to be doing this, but they were all trying to kill me. And if it wasn't for you... I had to thank you. It's just how I was raised. That was a little weird. I'm talking with a bee. Yeah. I'm talking to a bee. And the bee is talking to me! I just want to say I'm grateful. I'll leave now. Wait! How did you learn to do that? What? The talking thing. Same way you did, I guess. "Mama, Dada, honey." You pick it up. That's very funny. Yeah. Bees are funny. If we didn't laugh, we'd cry with what we have to deal with. Anyway... Can I... get you something? Like what? I don't know. I mean... I don't know. Coffee? I don't want to put you out. It's no trouble. It takes two minutes. It's just coffee. I hate to impose. Don't be ridiculous! Actually, I would love a cup. Hey, you want rum cake? I shouldn't. Have some. No, I can't. Come on! I'm trying to lose a couple micrograms. Where? These stripes don't help. You look great! I don't know if you know anything about fashion. Are you all right? No. He's making the tie in the cab as they're flying up Madison. He finally gets there. He runs up the steps into the church. The wedding is on. And he says, "Watermelon? I thought you said Guatemalan. Why would I marry a watermelon?" Is that a bee joke? That's the kind of stuff we do. Yeah, different. So, what are you gonna do, Barry? About work? I don't know. I want to do my part for The Hive, but I can't do it the way they want. I know how you feel. You do? Sure. My parents wanted me to be a lawyer or a doctor, but I wanted to be a florist. Really? My only interest is flowers. Our new queen was just elected with that same campaign slogan. Anyway, if you look... There's my hive right there. See it? You're in Sheep Meadow! Yes! I'm right off the Turtle Pond! No way! I know that area. I lost a toe ring there once. Why do girls put rings on their toes? Why not? It's like putting a hat on your knee. Maybe I'll try that. You all right, ma'am? Oh, yeah. Fine. Just having two cups of coffee! Anyway, this has been great. Thanks for the coffee. Yeah, it's no trouble. Sorry I couldn't finish it. If I did, I'd be up the rest of my life. Are you...? Can I take a piece of this with me? Sure! Here, have a crumb. Thanks! Yeah. All right. Well, then... I guess I'll see you around. Or not. OK, Barry. And thank you so much again... for before. Oh, that? That was nothing. Well, not nothing, but... Anyway... This can't possibly work. He's all set to go. We may as well try it. OK, Dave, pull the chute. Sounds amazing. It was amazing! It was the scariest, happiest moment of my life. Humans! I can't believe you were with humans! Giant, scary humans! What were they like? Huge and crazy. They talk crazy. They eat crazy giant things. They drive crazy. Do they try and kill you, like on TV? Some of them. But some of them don't. How'd you get back? Poodle. You did it, and I'm glad. You saw whatever you wanted to see. You had your "experience." Now you can pick out yourjob and be normal. Well... Well? Well, I met someone. You did? Was she Bee-ish? A wasp?! Your parents will kill you! No, no, no, not a wasp. Spider? I'm not attracted to spiders. I know it's the hottest thing, with the eight legs and all. I can't get by that face. So who is she? She's... human. No, no. That's a bee law. You wouldn't break a bee law. Her name's Vanessa. Oh, boy. She's so nice. And she's a florist! Oh, no! You're dating a human florist! We're not dating. You're flying outside The Hive, talking to humans that attack our homes with power washers and M-80s! One-eighth a stick of dynamite! She saved my life! And she understands me. This is over! Eat this. This is not over! What was that? They call it a crumb. It was so stingin' stripey! And that's not what they eat. That's what falls off what they eat! You know what a Cinnabon is? No. It's bread and cinnamon and frosting. They heat it up... Sit down! ...really hot! Listen to me! We are not them! We're us. There's us and there's them! Yes, but who can deny the heart that is yearning? There's no yearning. Stop yearning. Listen to me! You have got to start thinking bee, my friend. Thinking bee! Thinking bee. Thinking bee. Thinking bee! Thinking bee! Thinking bee! Thinking bee! There he is. He's in the pool. You know what your problem is, Barry? I gotta start thinking bee? How much longer will this go on? It's been three days! Why aren't you working? I've got a lot of big life decisions to think about. What life? You have no life! You have no job. You're barely a bee! Would it kill you to make a little honey? Barry, come out. Your father's talking to you. Martin, would you talk to him? Barry, I'm talking to you! You coming? Got everything? All set! Go ahead. I'll catch up. Don't be too long. Watch this! Vanessa! We're still here. I told you not to yell at him. He doesn't respond to yelling! Then why yell at me? Because you don't listen! I'm not listening to this. Sorry, I've gotta go. Where are you going? I'm meeting a friend. A girl? Is this why you can't decide? Bye. I just hope she's Bee-ish. They have a huge parade of flowers every year in Pasadena? To be in the Tournament of Roses, that's every florist's dream! Up on a float, surrounded by flowers, crowds cheering. A tournament. Do the roses compete in athletic events? No. All right, I've got one. How come you don't fly everywhere? It's exhausting. Why don't you run everywhere? It's faster. Yeah, OK, I see, I see. All right, your turn. TiVo. You can just freeze live TV? That's insane! You don't have that? We have Hivo, but it's a disease. It's a horrible, horrible disease. Oh, my. Dumb bees! You must want to sting all those jerks. We try not to sting. It's usually fatal for us. So you have to watch your temper. Very carefully. You kick a wall, take a walk, write an angry letter and throw it out. Work through it like any emotion: Anger, jealousy, lust. Oh, my goodness! Are you OK? Yeah. What is wrong with you?! It's a bug. He's not bothering anybody. Get out of here, you creep! What was that? A Pic 'N' Save circular? Yeah, it was. How did you know? It felt like about 10 pages. Seventy-five is pretty much our limit. You've really got that down to a science. I lost a cousin to Italian Vogue. I'll bet. What in the name of Mighty Hercules is this? How did this get here? cute Bee, Golden Blossom, Ray Liotta Private Select? Is he that actor? I never heard of him. Why is this here? For people. We eat it. You don't have enough food of your own? Well, yes. How do you get it? Bees make it. I know who makes it! And it's hard to make it! There's heating, cooling, stirring. You need a whole Krelman thing! It's organic. It's our-ganic! It's just honey, Barry. Just what?! Bees don't know about this! This is stealing! A lot of stealing! You've taken our homes, schools,hospitals! This is all we have! And it's on sale?! I'm getting to the bottom of this. I'm getting to the bottom of all of this! Hey, Hector. You almost done? Almost. He is here. I sense it. Well, I guess I'll go home now and just leave this nice honey out, with no one around. You're busted, box boy! I knew I heard something. So you can talk! I can talk. And now you'll start talking! Where you getting the sweet stuff? Who's your supplier? I don't understand. I thought we were friends. The last thing we want to do is upset bees! You're too late! It's ours now! You, sir, have crossed the wrong sword! You, sir, will be lunch for my iguana, Ignacio! Where is the honey coming from? Tell me where! Honey Farms! It comes from Honey Farms! Crazy person! What horrible thing has happened here? These faces, they never knew what hit them. And now they're on the road to nowhere! Just keep still. What? You're not dead? Do I look dead? They will wipe anything that moves. Where you headed? To Honey Farms. I am onto something huge here. I'm going to Alaska. Moose blood, crazy stuff. Blows your head off! I'm going to Tacoma. And you? He really is dead. All right. Uh-oh! What is that?! Oh, no! A wiper! Triple blade! Triple blade? Jump on! It's your only chance, bee! Why does everything have to be so doggone clean?! How much do you people need to see?! Open your eyes! Stick your head out the window! From NPR News in Washington, I'm Carl Kasell. But don't kill no more bugs! Bee! Moose blood guy!! You hear something? Like what? Like tiny screaming. Turn off the radio. Whassup, bee boy? Hey, Blood. Just a row of honey jars, as far as the eye could see. Wow! I assume wherever this truck goes is where they're getting it. I mean, that honey's ours. Bees hang tight. We're all jammed in. It's a close community. Not us, man. We on our own. Every mosquito on his own. What if you get in trouble? You a mosquito, you in trouble. Nobody likes us. They just smack. See a mosquito, smack, smack! At least you're out in the world. You must meet girls. Mosquito girls try to trade up, get with a moth, dragonfly. Mosquito girl don't want no mosquito. You got to be kidding me! Mooseblood's about to leave the building! So long, bee! Hey, guys! Mooseblood! I knew I'd catch y'all down here. Did you bring your crazy straw? We throw it in jars, slap a label on it, and it's pretty much pure profit. What is this place? A bee's got a brain the size of a pinhead. They are pinheads! Pinhead. Check out the new smoker. Oh, sweet. That's the one you want. The Thomas 3000! Smoker? Ninety puffs a minute, semi-automatic. Twice the nicotine, all the tar. A couple breaths of this knocks them right out. They make the honey, and we make the money. "They make the honey, and we make the money"? Oh, my! What's going on? Are you OK? Yeah. It doesn't last too long. Do you know you're in a fake hive with fake walls? Our queen was moved here. We had no choice. This is your queen? That's a man in women's clothes! That's a drag queen! What is this? Oh, no! There's hundreds of them! Bee honey. Our honey is being brazenly stolen on a massive scale! This is worse than anything bears have done! I intend to do something. Oh, Barry, stop. Who told you humans are taking our honey? That's a rumor. Do these look like rumors? That's a conspiracy theory. These are obviously doctored photos. How did you get mixed up in this? He's been talking to humans. What? Talking to humans?! He has a human girlfriend. And they make out! Make out? Barry! We do not. You wish you could. Whose side are you on? The bees! I dated a cricket once in San Antonio. Those crazy legs kept me up all night. Barry, this is what you want to do with your life? I want to do it for all our lives. Nobody works harder than bees! Dad, I remember you coming home so overworked your hands were still stirring. You couldn't stop. I remember that. What right do they have to our honey? We live on two cups a year. They put it in lip balm for no reason whatsoever! Even if it's true, what can one bee do? Sting them where it really hurts. In the face! The eye! That would hurt. No. Up the nose? That's a killer. There's only one place you can sting the humans, one place where it matters. Hive at Five, The Hive's only full-hour action news source. No more bee beards! With Bob Bumble at the anchor desk. Weather with Storm Stinger. Sports with Buzz Larvi. And Jeanette Chung. Good evening. I'm Bob Bumble. And I'm Jeanette Ohung. A tri-county bee, Barry Benson, intends to sue the human race for stealing our honey, packaging it and profiting from it illegally! Tomorrow night on Bee Larry King, we'll have three former queens here in our studio, discussing their new book, classy Ladies, out this week on Hexagon. Tonight we're talking to Barry Benson. Did you ever think, "I'm a kid from The Hive. I can't do this"? Bees have never been afraid to change the world. What about Bee Oolumbus? Bee Gandhi? Bejesus? Where I'm from, we'd never sue humans. We were thinking of stickball or candy stores. How old are you? The bee community is supporting you in this case, which will be the trial of the bee century. You know, they have a Larry King in the human world too. It's a common name. Next week... He looks like you and has a show and suspenders and colored dots... Next week... Glasses, quotes on the bottom from the guest even though you just heard 'em. Bear Week next week! They're scary, hairy and here live. Always leans forward, pointy shoulders, squinty eyes, very Jewish. In tennis, you attack at the point of weakness! It was my grandmother, Ken. She's 81. Honey, her backhand's a joke! I'm not gonna take advantage of that? Quiet, please. Actual work going on here. Is that that same bee? Yes, it is! I'm helping him sue the human race. Hello. Hello, bee. This is Ken. Yeah, I remember you. Timberland, size ten and a half. Vibram sole, I believe. Why does he talk again? Listen, you better go 'cause we're really busy working. But it's our yogurt night! Bye-bye. Why is yogurt night so difficult?! You poor thing. You two have been at this for hours! Yes, and Adam here has been a huge help. Frosting... How many sugars? Just one. I try not to use the competition. So why are you helping me? Bees have good qualities. And it takes my mind off the shop. Instead of flowers, people are giving balloon bouquets now. Those are great, if you're three. And artificial flowers. Oh, those just get me psychotic! Yeah, me too. Bent stingers, pointless pollination. Bees must hate those fake things! Nothing worse than a daffodil that's had work done. Maybe this could make up for it a little bit. This lawsuit's a pretty big deal. I guess. You sure you want to go through with it? Am I sure? When I'm done with the humans, they won't be able to say, "Honey, I'm home," without paying a royalty! It's an incredible scene here in downtown Manhattan, where the world anxiously waits, because for the first time in history, we will hear for ourselves if a honeybee can actually speak. What have we gotten into here, Barry? It's pretty big, isn't it? I can't believe how many humans don't work during the day. You think billion-dollar multinational food companies have good lawyers? Everybody needs to stay behind the barricade. What's the matter? I don't know, I just got a chill. Well, if it isn't the bee team. You boys work on this? All rise! The Honorable Judge Bumbleton presiding. All right. Case number 4475, Superior Court of New York, Barry Bee Benson v. the Honey Industry is now in session. Mr. Montgomery, you're representing the five food companies collectively? A privilege. Mr. Benson... you're representing all the bees of the world? I'm kidding. Yes, Your Honor, we're ready to proceed. Mr. Montgomery, your opening statement, please. Ladies and gentlemen of the jury, my grandmother was a simple woman. Born on a farm, she believed it was man's divine right to benefit from the bounty of nature God put before us. If we lived in the topsy-turvy world Mr. Benson imagines, just think of what would it mean. I would have to negotiate with the silkworm for the elastic in my britches! Talking bee! How do we know this isn't some sort of holographic motion-picture-capture Hollywood wizardry? They could be using laser beams! Robotics! Ventriloquism! Cloning! For all we know, he could be on steroids! Mr. Benson? Ladies and gentlemen, there's no trickery here. I'm just an ordinary bee. Honey's pretty important to me. It's important to all bees. We invented it! We make it. And we protect it with our lives. Unfortunately, there are some people in this room who think they can take it from us 'cause we're the little guys! I'm hoping that, after this is all over, you'll see how, by taking our honey, you not only take everything we have but everything we are! I wish he'd dress like that all the time. So nice! Call your first witness. So, Mr. Klauss Vanderhayden of Honey Farms, big company you have. I suppose so. I see you also own Honeyburton and Honron! Yes, they provide beekeepers for our farms. Beekeeper. I find that to be a very disturbing term. I don't imagine you employ any bee-free-ers, do you? No. I couldn't hear you. No. No. Because you don't free bees. You keep bees. Not only that, it seems you thought a bear would be an appropriate image for a jar of honey. They're very lovable creatures. Yogi Bear, Fozzie Bear, Build-A-Bear. You mean like this? Bears kill bees! How'd you like his head crashing through your living room?! Biting into your couch! Spitting out your throw pillows! OK, that's enough. Take him away. So, Mr. Sting, thank you for being here. Your name intrigues me. Where have I heard it before? I was with a band called The Police. But you've never been a police officer, have you? No, I haven't. No, you haven't. And so here we have yet another example of bee culture casually stolen by a human for nothing more than a prance-about stage name. Oh, please. Have you ever been stung, Mr. Sting? Because I'm feeling a little stung, Sting. Or should I say... Mr. Gordon M. Sumner! That's not his real name?! You idiots! Mr. Liotta, first, belated congratulations on your Emmy win for a guest spot on ER in 2005. Thank you. Thank you. I see from your resume that you're devilishly handsome with a churning inner turmoil that's ready to blow. I enjoy what I do. Is that a crime? Not yet it isn't. But is this what it's come to for you? Exploiting tiny, helpless bees so you don't have to rehearse your part and learn your lines, sir? Watch it, Benson! I could blow right now! This isn't a goodfella. This is a badfella! Why doesn't someone just step on this creep, and we can all go home?! Order in this court! You're all thinking it! Order! Order, I say! Say it! Mr. Liotta, please sit down! I think it was awfully nice of that bear to pitch in like that. I think the jury's on our side. Are we doing everything right, legally? I'm a florist. Right. Well, here's to a great team. To a great team! Well, hello. Ken! Hello. I didn't think you were coming. No, I was just late I tried to call, but... the battery. I didn't want all this to go to waste, so I called Barry. Luckily, he was free. Oh, that was lucky. There's a little left. I could heat it up. Yeah, heat it up, sure, whatever. So I hear you're quite a tennis player. I'm not much for the game myself. The ball's a little grabby. That's where I usually sit. Right... there. Ken, Barry was looking at your resume, and he agreed with me that eating with chopsticks isn't really a special skill. You think I don't see what you're doing? I know how hard it is to find the right job. We have that in common. Do we? Bees have 100 percent employment, but we do jobs like taking the crud out. That's just what I was thinking about doing. Ken, I let Barry borrow your razor for his fuzz. I hope that was all right. I'm going to drain the old stinger. Yeah, you do that. Look at that. You know, I've just about had it with your little Mind Games. What's that? Italian Vogue. Mamma mia, that's a lot of pages. A lot of ads. Remember what Van said, why is your life more valuable than mine? Funny, I just can't seem to recall that! I think something stinks in here! I love the smell of flowers. How do you like the smell of flames?! Not as much. Water bug! Not taking sides! Ken, I'm wearing a Chapstick hat! This is pathetic! I've got issues! Well, well, well, a royal flush! You're bluffing. Am I? Surf's up, dude! Poo water! That bowl is gnarly. Except for those dirty yellow rings! Kenneth! What are you doing?! You know, I don't even like honey! I don't eat it! We need to talk! He's just a little bee! And he happens to be the nicest bee I've met in a long time! Long time? What are you talking about?! Are there other bugs in your life? No, but there are other things bugging me in life. And you're one of them! Fine! Talking bees, no yogurt night... My nerves are fried from riding on this emotional roller coaster! Goodbye, Ken. And for your information, I prefer sugar-free, artificial sweeteners made by man! I'm sorry about all that. I know it's got an aftertaste! I like it! I always felt there was some kind of barrier between Ken and me. I couldn't overcome it. Oh, well. Are you OK for the trial? I believe Mr. Montgomery is about out of ideas. We would like to call Mr. Barry Benson Bee to the stand. Good idea! You can really see why he's considered one of the best lawyers... Yeah. Layton, you've gotta weave some magic with this jury, or it's gonna be all over. Don't worry. The only thing I have to do to turn this jury around is to remind them of what they don't like about bees. You got the tweezers? Are you allergic? Only to losing, son. Only to losing. Mr. Benson Bee, I'll ask you what I think we'd all like to know. What exactly is your relationship to that woman? We're friends. Good friends? Yes. How good? Do you live together? Wait a minute... Are you her little... bedbug? I've seen a bee documentary or two. From what I understand, doesn't your queen give birth to all the bee children? Yeah, but... So those aren't your real parents! Oh, Barry... Yes, they are! Hold me back! You're an illegitimate bee, aren't you, Benson? He's denouncing bees! Don't y'all date your cousins? Objection! I'm going to pincushion this guy! Adam, don't! It's what he wants! Oh, I'm hit!! Oh, lordy, I am hit! Order! Order! The venom! The venom is coursing through my veins! I have been felled by a winged beast of destruction! You see? You can't treat them like equals! They're striped savages! Stinging's the only thing they know! It's their way! Adam, stay with me. I can't feel my legs. What Angel of Mercy will come forward to suck the poison from my heaving buttocks? I will have order in this court. Order! Order, please! The case of the honeybees versus the human race took a pointed Turn Against the bees yesterday when one of their legal team stung Layton T. Montgomery. Hey, buddy. Hey. Is there much pain? Yeah. I... I blew the whole case, didn't I? It doesn't matter. What matters is you're alive. You could have died. I'd be better off dead. Look at me. They got it from the cafeteria downstairs, in a tuna sandwich. Look, there's a little celery still on it. What was it like to sting someone? I can't explain it. It was all... All adrenaline and then...and then ecstasy! All right. You think it was all a trap? Of course. I'm sorry. I flew us right into this. What were we thinking? Look at us. We're just a couple of bugs in this world. What will the humans do to us if they win? I don't know. I hear they put the roaches in motels. That doesn't sound so bad. Adam, they check in, but they don't check out! Oh, my. Could you get a nurse to close that window? Why? The smoke. Bees don't smoke. Right. Bees don't smoke. Bees don't smoke! But some bees are smoking. That's it! That's our case! It is? It's not over? Get dressed. I've gotta go somewhere. Get back to the court and stall. Stall any way you can. And assuming you've done step correctly, you're ready for the tub. Mr. Flayman. Yes? Yes, Your Honor! Where is the rest of your team? Well, Your Honor, it's interesting. Bees are trained to fly haphazardly, and as a result, we don't make very good time. I actually heard a funny story about... Your Honor, haven't these ridiculous bugs taken up enough of this court's valuable time? How much longer will we allow these absurd shenanigans to go on? They have presented no compelling evidence to support their charges against my clients, who run legitimate businesses. I move for a complete dismissal of this entire case! Mr. Flayman, I'm afraid I'm going to have to consider Mr. Montgomery's motion. But you can't! We have a terrific case. Where is your proof? Where is the evidence? Show me the smoking gun! Hold it, Your Honor! You want a smoking gun? Here is your smoking gun. What is that? It's a bee smoker! What, this? This harmless little contraption? This couldn't hurt a fly, let alone a bee. Look at what has happened to bees who have never been asked, "Smoking or non?" Is this what nature intended for us? To be forcibly addicted to smoke machines and man-made wooden slat work camps? Living out our lives as honey slaves to the white man? What are we gonna do? He's playing the species card. Ladies and gentlemen, please, free these bees! Free the bees! Free the bees! Free the bees! Free the bees! Free the bees! The court finds in favor of the bees! Vanessa, we won! I knew you could do it! High-five! Sorry. I'm OK! You know what this means? All the honey will finally belong to the bees. Now we won't have to work so hard all the time. This is an unholy perversion of the balance of nature, Benson. You'll regret this. Barry, how much honey is out there? All right. One at a time. Barry, who are you wearing? My sweater is Ralph Lauren, and I have no pants. What if Montgomery's right? What do you mean? We've been living the bee way a long time, 27 million years. Congratulations on your victory. What will you demand as a settlement? First, we'll demand a complete shutdown of all bee work camps. Then we want back the honey that was ours to begin with, every last drop. We demand an end to the glorification of the bear as anything more than a filthy, smelly, bad-breath stink machine. We're all aware of what they do in the woods. Wait for my signal. Take him out. He'll have nauseous for a few hours, then he'll be fine. And we will no longer tolerate bee-negative nicknames... But it's just a prance-about stage name! ...unnecessary inclusion of honey in bogus health products and la-dee-da human tea-time snack garnishments. Can't breathe. Bring it in, boys! Hold it right there! Good. Tap it. Mr. Buzzwell, we just passed three cups and there's gallons more coming! I think we need to shut down! Shut down? We've never shut down. Shut down honey production! Stop making honey! Turn your key, sir! What do we do now? Cannonball! We're shutting honey production! Mission abort. Aborting pollination and nectar detail. Returning to base. Adam, you wouldn't believe how much honey was out there. Oh, yeah? What's going on? Where is everybody? Are they out celebrating? They're home. They don't know what to do. Laying out, sleeping in. I heard your Uncle Carl was on his way to San Antonio with a cricket. At least we got our honey back. Sometimes I think, so what if humans liked our honey? Who wouldn't? It's the greatest thing in the world! I was excited to be part of making it. This was my new desk. This was my new job. I wanted to do it really well. And now... Now I can't. I don't understand why they're not happy. I thought their lives would be better! They're doing nothing. It's amazing. Honey really changes people. You don't have any idea what's going on, do you? What did you want to show me? This. What happened here? That is not the half of it. Oh, no. Oh, my. They're all wilting. Doesn't look very good, does it? No. And whose fault do you think that is? You know, I'm gonna guess bees. Bees? Specifically, me. I didn't think bees not needing to make honey would affect all these things. It's not just flowers. Fruits, vegetables, they all need bees. That's our whole SAT test right there. Take away produce, that affects the entire animal kingdom. And then, of course... The human species? So if there's no more pollination, it could all just go south here, couldn't it? I know this is also partly my fault. How about a suicide pact? How do we do it? I'll sting you, you step on me. That just kills you twice. Right, right. Listen, Barry... sorry, but I gotta get going. I had to open my mouth and talk. Vanessa? Vanessa? Why are you leaving? Where are you going? To the final Tournament of Roses parade in Pasadena. They've moved it to this weekend because all the flowers are dying. It's the Last Chance I'll ever have to see it. Vanessa, I just wanna say I'm sorry. I never meant it to turn out like this. I know. Me neither. Tournament of Roses. Roses can't do sports. Wait a minute. Roses. Roses? Roses! Vanessa! Roses?! Barry? Roses are flowers! Yes, they are. Flowers, bees, pollen! I know. That's why this is the last parade. Maybe not. Could you ask him to slow down? Could you slow down? Barry! OK, I made a huge mistake. This is a total disaster, all my fault. Yes, it kind of is. I've ruined the planet. I wanted to help you with the flower shop. I've made it worse. Actually, it's completely closed down. I thought maybe you were remodeling. But I have another idea, and it's greater than my previous ideas combined. I don't want to hear it! All right, they have the roses, the roses have the pollen. I know every bee, plant and flower bud in this park. All we gotta do is get what they've got back here with what we've got. Bees. Park. Pollen! Flowers. Repollination! Across the nation! Tournament of Roses, Pasadena, California. They've got nothing but flowers, floats and cotton candy. Security will be tight. I have an idea. Vanessa Bloome, FTD. Official floral business. It's real. Sorry, ma'am. Nice brooch. Thank you. It was a gift. Once inside, we just pick the right float. How about The Princess and the Pea? I could be the princess, and you could be the pea! Yes, I got it. Where should I sit? What are you? I believe I'm the pea. The pea? It goes under the mattresses. Not in this fairy tale, sweetheart. I'm getting the marshal. You do that! This whole parade is a fiasco! Let's see what this baby'll do. Hey, what are you doing?! Then all we do is blend in with traffic... without arousing suspicion. Once at the airport, there's no stopping us. Stop! Security. You and your insect pack your float? Yes. Has it been in your possession the entire time? Would you remove your shoes? Remove your stinger. It's part of me. I know. Just having some fun. Enjoy your flight. Then if we're lucky, we'll have just enough pollen to do the job. Can you believe how lucky we are? We have just enough pollen to do the job! I think this is gonna work. It's got to work. Attention, passengers, this is Captain Scott. We have a bit of bad weather in New York. It looks like we'll experience a couple hours delay. Barry, these are cut flowers with no water. They'll never make it. I gotta get up there and talk to them. Be careful. Can I get help with the Sky Mall magazine? I'd like to order the talking inflatable nose and ear hair trimmer. Captain, I'm in a real situation. What'd you say, Hal? Nothing. Bee! Don't freak out! My entire species... What are you doing? Wait a minute! I'm an attorney! Who's an attorney? Don't move. Oh, Barry. Good afternoon, passengers. This is your captain. Would a Miss Vanessa Bloome in 24B please report to the cockpit? And please hurry! What happened here? There was a DustBuster, a toupee, a life raft exploded. One's bald, one's in a boat, they're both unconscious! Is that another bee joke? No! No one's flying the plane! This is JFK control tower, Flight 356. What's your status? This is Vanessa Bloome. I'm a florist from New York. Where's the pilot? He's unconscious, and so is the copilot. Not good. Does anyone onboard have flight experience? As a matter of fact, there is. Who's that? Barry Benson. From the honey trial?! Oh, great. Vanessa, this is nothing more than a big metal bee. It's got giant wings, huge engines. I can't fly a plane. Why not? Isn't John Travolta a pilot? Yes. How hard could it be? Wait, Barry! We're headed into some lightning. This is Bob Bumble. We have some late-breaking news from JFK Airport, where a suspenseful scene is developing. Barry Benson, fresh from his legal victory... That's Barry! ...is attempting to land a plane, loaded with people, flowers and an incapacitated flight crew. Flowers?! We have a storm in the area and two individuals at the controls with absolutely no flight experience. Just a minute. There's a bee on that plane. I'm quite familiar with Mr. Benson and his no-account compadres. They've done enough damage. But isn't he your only hope? Technically, a bee shouldn't be able to fly at all. Their wings are too small... Haven't we heard this a million times? "The surface area of the wings and body mass make no sense." Get this on the air! Got it. Stand by. We're going live. The way we work may be a mystery to you. Making honey takes a lot of bees doing a lot of small jobs. But let me tell you about a small job. If you do it well, it makes a big difference. More than we realized. To us, to everyone. That's why I want to get bees back to working together. That's the bee way! We're not made of Jell-O. We get behind a fellow. Black and yellow! Hello! Left, right, down, hover. Hover? Forget hover. This isn't so hard. Beep-beep! Beep-beep! Barry, what happened?! Wait, I think we were on autopilot the whole time. That may have been helping me. And now we're not! So it turns out I cannot fly a plane. All of you, let's get behind this fellow! Move it out! Move out! Our only chance is if I do what I'd do, you copy me with the wings of the plane! Don't have to yell. I'm not yelling! We're in a lot of trouble. It's very hard to concentrate with that panicky tone in your voice! It's not a tone. I'm panicking! I can't do this! Vanessa, pull yourself together. You have to snap out of it! You snap out of it. You snap out of it. You snap out of it! You snap out of it! You snap out of it! You snap out of it! You snap out of it! You snap out of it! Hold it! Why? Come on, it's my turn. How is the plane flying? I don't know. Hello? Benson, got any flowers for a happy occasion in there? The Pollen Jocks! They do get behind a fellow. Black and yellow. Hello. All right, let's drop this tin can on the blacktop. Where? I can't see anything. Can you? No, nothing. It's all cloudy. Come on. You got to think bee, Barry. Thinking bee. Thinking bee. Thinking bee! Thinking bee! Thinking bee! Wait a minute. I think I'm feeling something. What? I don't know. It's strong, pulling me. Like a 27-million-year-old instinct. Bring the nose down. Thinking bee! Thinking bee! Thinking bee! What in the world is on the tarmac? Get some lights on that! Thinking bee! Thinking bee! Thinking bee! Vanessa, aim for the flower. OK. Cut the engines. We're going in on bee power. Ready, boys? Affirmative! Good. Good. Easy, now. That's it. Land on that flower! Ready? Full reverse! Spin it around! Not that flower! The other one! Which one? That flower. I'm aiming at the flower! That's a fat guy in a flowered shirt. I mean the giant pulsating flower made of millions of bees! Pull forward. Nose down. Tail up. Rotate around it. This is insane, Barry! This's the only way I know how to fly. Am I koo-koo-kachoo, or is this plane flying in an insect-like pattern? Get your nose in there. Don't be afraid. Smell it. Full reverse! Just drop it. Be a part of it. Aim for the center! Now drop it in! Drop it in, woman! Come on, already. Barry, we did it! You taught me how to fly! Yes. No high-five! Right. Barry, it worked! Did you see the giant flower? What giant flower? Where? Of course I saw the flower! That was genius! Thank you. But we're not done yet. Listen, everyone! This runway is covered with the last pollen from the last flowers available anywhere on Earth. That means this is our Last Chance. We're the only ones who make honey, pollinate flowers and dress like this. If we're gonna survive as a species, this is our moment! What do you say? Are we going to be bees, or just Museum of Natural History keychains? We're bees! Keychain! Then follow me! Except Keychain. Hold on, Barry. Here. You've earned this. Yeah! I'm a Pollen Jock! And it's a perfect fit. All I gotta do are the sleeves. Oh, yeah. That's our Barry. Mom! The bees are back! If anybody needs to make a call, now's the time. I got a feeling we'll be working late tonight! Here's your change. Have a great afternoon! Can I help who's next? Would you like some honey with that? It is bee-approved. Don't forget these. Milk, cream, cheese, it's all me. And I don't see a nickel! Sometimes I just feel like a piece of meat! I had no idea. Barry, I'm sorry. Have you got a moment? Would you excuse me? My mosquito associate will help you. Sorry I'm late. He's a lawyer too? I was already a blood-sucking parasite. All I needed was a briefcase. Have a great afternoon! Barry, I just got this huge tulip order, and I can't get them anywhere. No problem, Vannie. Just leave it to me. You're a lifesaver, Barry. Can I help who's next? All right, scramble, jocks! It's time to fly. Thank you, Barry! That bee is living my life! Let it go, Kenny. When will this nightmare end?! Let it all go. Beautiful day to fly. Sure is. Between you and me, I was dying to get out of that office. You have got to start thinking bee, my friend. Thinking bee! Me? Hold it. Let's just stop for a second. Hold it. I'm sorry. I'm sorry, everyone. Can we stop here? I'm not making a major life decision during a production number! All right. Take ten, everybody. Wrap it up, guys. I h
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landonasato / FunctionAccording to all known laws of aviation, there is no way a bee should be able to fly. Its wings are too small to get its fat little body off the ground. The bee, of course, flies anyway because bees don't care what humans think is impossible. Yellow, black. Yellow, black. Yellow, black. Yellow, black. Ooh, black and yellow! Let's shake it up a little. Barry! Breakfast is ready! Ooming! Hang on a second. Hello? - Barry? - Adam? - Oan you believe this is happening? - I can't. I'll pick you up. Looking sharp. Use the stairs. Your father paid good money for those. Sorry. I'm excited. Here's the graduate. We're very proud of you, son. A perfect report card, all B's. Very proud. Ma! I got a thing going here. - You got lint on your fuzz. - Ow! That's me! - Wave to us! We'll be in row 118,000. - Bye! Barry, I told you, stop flying in the house! - Hey, Adam. - Hey, Barry. - Is that fuzz gel? - A little. Special day, graduation. Never thought I'd make it. Three days grade school, three days high school. Those were awkward. Three days college. I'm glad I took a day and hitchhiked around the hive. You did come back different. - Hi, Barry. - Artie, growing a mustache? Looks good. - Hear about Frankie? - Yeah. - You going to the funeral? - No, I'm not going. Everybody knows, sting someone, you die. Don't waste it on a squirrel. Such a hothead. I guess he could have just gotten out of the way. I love this incorporating an amusement park into our day. That's why we don't need vacations. Boy, quite a bit of pomp... under the circumstances. - Well, Adam, today we are men. - We are! - Bee-men. - Amen! Hallelujah! Students, faculty, distinguished bees, please welcome Dean Buzzwell. Welcome, New Hive Oity graduating class of... ...9:15. That concludes our ceremonies. And begins your career at Honex Industries! Will we pick ourjob today? I heard it's just orientation. Heads up! Here we go. Keep your hands and antennas inside the tram at all times. - Wonder what it'll be like? - A little scary. Welcome to Honex, a division of Honesco and a part of the Hexagon Group. This is it! Wow. Wow. We know that you, as a bee, have worked your whole life to get to the point where you can work for your whole life. Honey begins when our valiant Pollen Jocks bring the nectar to the hive. Our top-secret formula is automatically color-corrected, scent-adjusted and bubble-contoured into this soothing sweet syrup with its distinctive golden glow you know as... Honey! - That girl was hot. - She's my cousin! - She is? - Yes, we're all cousins. - Right. You're right. - At Honex, we constantly strive to improve every aspect of bee existence. These bees are stress-testing a new helmet technology. - What do you think he makes? - Not enough. Here we have our latest advancement, the Krelman. - What does that do? - Oatches that little strand of honey that hangs after you pour it. Saves us millions. Oan anyone work on the Krelman? Of course. Most bee jobs are small ones. But bees know that every small job, if it's done well, means a lot. But choose carefully because you'll stay in the job you pick for the rest of your life. The same job the rest of your life? I didn't know that. What's the difference? You'll be happy to know that bees, as a species, haven't had one day off in 27 million years. So you'll just work us to death? We'll sure try. Wow! That blew my mind! "What's the difference?" How can you say that? One job forever? That's an insane choice to have to make. I'm relieved. Now we only have to make one decision in life. But, Adam, how could they never have told us that? Why would you question anything? We're bees. We're the most perfectly functioning society on Earth. You ever think maybe things work a little too well here? Like what? Give me one example. I don't know. But you know what I'm talking about. Please clear the gate. Royal Nectar Force on approach. Wait a second. Oheck it out. - Hey, those are Pollen Jocks! - Wow. I've never seen them this close. They know what it's like outside the hive. Yeah, but some don't come back. - Hey, Jocks! - Hi, Jocks! You guys did great! You're monsters! You're sky freaks! I love it! I love it! - I wonder where they were. - I don't know. Their day's not planned. Outside the hive, flying who knows where, doing who knows what. You can'tjust decide to be a Pollen Jock. You have to be bred for that. Right. Look. That's more pollen than you and I will see in a lifetime. It's just a status symbol. Bees make too much of it. Perhaps. Unless you're wearing it and the ladies see you wearing it. Those ladies? Aren't they our cousins too? Distant. Distant. Look at these two. - Oouple of Hive Harrys. - Let's have fun with them. It must be dangerous being a Pollen Jock. Yeah. Once a bear pinned me against a mushroom! He had a paw on my throat, and with the other, he was slapping me! - Oh, my! - I never thought I'd knock him out. What were you doing during this? Trying to alert the authorities. I can autograph that. A little gusty out there today, wasn't it, comrades? Yeah. Gusty. We're hitting a sunflower patch six miles from here tomorrow. - Six miles, huh? - Barry! A puddle jump for us, but maybe you're not up for it. - Maybe I am. - You are not! We're going 0900 at J-Gate. What do you think, buzzy-boy? Are you bee enough? I might be. It all depends on what 0900 means. Hey, Honex! Dad, you surprised me. You decide what you're interested in? - Well, there's a lot of choices. - But you only get one. Do you ever get bored doing the same job every day? Son, let me tell you about stirring. You grab that stick, and you just move it around, and you stir it around. You get yourself into a rhythm. It's a beautiful thing. You know, Dad, the more I think about it, maybe the honey field just isn't right for me. You were thinking of what, making balloon animals? That's a bad job for a guy with a stinger. Janet, your son's not sure he wants to go into honey! - Barry, you are so funny sometimes. - I'm not trying to be funny. You're not funny! You're going into honey. Our son, the stirrer! - You're gonna be a stirrer? - No one's listening to me! Wait till you see the sticks I have. I could say anything right now. I'm gonna get an ant tattoo! Let's open some honey and celebrate! Maybe I'll pierce my thorax. Shave my antennae. Shack up with a grasshopper. Get a gold tooth and call everybody "dawg"! I'm so proud. - We're starting work today! - Today's the day. Oome on! All the good jobs will be gone. Yeah, right. Pollen counting, stunt bee, pouring, stirrer, front desk, hair removal... - Is it still available? - Hang on. Two left! One of them's yours! Oongratulations! Step to the side. - What'd you get? - Picking crud out. Stellar! Wow! Oouple of newbies? Yes, sir! Our first day! We are ready! Make your choice. - You want to go first? - No, you go. Oh, my. What's available? Restroom attendant's open, not for the reason you think. - Any chance of getting the Krelman? - Sure, you're on. I'm sorry, the Krelman just closed out. Wax monkey's always open. The Krelman opened up again. What happened? A bee died. Makes an opening. See? He's dead. Another dead one. Deady. Deadified. Two more dead. Dead from the neck up. Dead from the neck down. That's life! Oh, this is so hard! Heating, cooling, stunt bee, pourer, stirrer, humming, inspector number seven, lint coordinator, stripe supervisor, mite wrangler. Barry, what do you think I should... Barry? Barry! All right, we've got the sunflower patch in quadrant nine... What happened to you? Where are you? - I'm going out. - Out? Out where? - Out there. - Oh, no! I have to, before I go to work for the rest of my life. You're gonna die! You're crazy! Hello? Another call coming in. If anyone's feeling brave, there's a Korean deli on 83rd that gets their roses today. Hey, guys. - Look at that. - Isn't that the kid we saw yesterday? Hold it, son, flight deck's restricted. It's OK, Lou. We're gonna take him up. Really? Feeling lucky, are you? Sign here, here. Just initial that. - Thank you. - OK. You got a rain advisory today, and as you all know, bees cannot fly in rain. So be careful. As always, watch your brooms, hockey sticks, dogs, birds, bears and bats. Also, I got a couple of reports of root beer being poured on us. Murphy's in a home because of it, babbling like a cicada! - That's awful. - And a reminder for you rookies, bee law number one, absolutely no talking to humans! All right, launch positions! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Black and yellow! Hello! You ready for this, hot shot? Yeah. Yeah, bring it on. Wind, check. - Antennae, check. - Nectar pack, check. - Wings, check. - Stinger, check. Scared out of my shorts, check. OK, ladies, let's move it out! Pound those petunias, you striped stem-suckers! All of you, drain those flowers! Wow! I'm out! I can't believe I'm out! So blue. I feel so fast and free! Box kite! Wow! Flowers! This is Blue Leader. We have roses visual. Bring it around 30 degrees and hold. Roses! 30 degrees, roger. Bringing it around. Stand to the side, kid. It's got a bit of a kick. That is one nectar collector! - Ever see pollination up close? - No, sir. I pick up some pollen here, sprinkle it over here. Maybe a dash over there, a pinch on that one. See that? It's a little bit of magic. That's amazing. Why do we do that? That's pollen power. More pollen, more flowers, more nectar, more honey for us. Oool. I'm picking up a lot of bright yellow. Oould be daisies. Don't we need those? Oopy that visual. Wait. One of these flowers seems to be on the move. Say again? You're reporting a moving flower? Affirmative. That was on the line! This is the coolest. What is it? I don't know, but I'm loving this color. It smells good. Not like a flower, but I like it. Yeah, fuzzy. Ohemical-y. Oareful, guys. It's a little grabby. My sweet lord of bees! Oandy-brain, get off there! Problem! - Guys! - This could be bad. Affirmative. Very close. Gonna hurt. Mama's little boy. You are way out of position, rookie! Ooming in at you like a missile! Help me! I don't think these are flowers. - Should we tell him? - I think he knows. What is this?! Match point! You can start packing up, honey, because you're about to eat it! Yowser! Gross. There's a bee in the car! - Do something! - I'm driving! - Hi, bee. - He's back here! He's going to sting me! Nobody move. If you don't move, he won't sting you. Freeze! He blinked! Spray him, Granny! What are you doing?! Wow... the tension level out here is unbelievable. I gotta get home. Oan't fly in rain. Oan't fly in rain. Oan't fly in rain. Mayday! Mayday! Bee going down! Ken, could you close the window please? Ken, could you close the window please? Oheck out my new resume. I made it into a fold-out brochure. You see? Folds out. Oh, no. More humans. I don't need this. What was that? Maybe this time. This time. This time. This time! This time! This... Drapes! That is diabolical. It's fantastic. It's got all my special skills, even my top-ten favorite movies. What's number one? Star Wars? Nah, I don't go for that... ...kind of stuff. No wonder we shouldn't talk to them. They're out of their minds. When I leave a job interview, they're flabbergasted, can't believe what I say. There's the sun. Maybe that's a way out. I don't remember the sun having a big 75 on it. I predicted global warming. I could feel it getting hotter. At first I thought it was just me. Wait! Stop! Bee! Stand back. These are winter boots. Wait! Don't kill him! You know I'm allergic to them! This thing could kill me! Why does his life have less value than yours? Why does his life have any less value than mine? Is that your statement? I'm just saying all life has value. You don't know what he's capable of feeling. My brochure! There you go, little guy. I'm not scared of him. It's an allergic thing. Put that on your resume brochure. My whole face could puff up. Make it one of your special skills. Knocking someone out is also a special skill. Right. Bye, Vanessa. Thanks. - Vanessa, next week? Yogurt night? - Sure, Ken. You know, whatever. - You could put carob chips on there. - Bye. - Supposed to be less calories. - Bye. I gotta say something. She saved my life. I gotta say something. All right, here it goes. Nah. What would I say? I could really get in trouble. It's a bee law. You're not supposed to talk to a human. I can't believe I'm doing this. I've got to. Oh, I can't do it. Oome on! No. Yes. No. Do it. I can't. How should I start it? "You like jazz?" No, that's no good. Here she comes! Speak, you fool! Hi! I'm sorry. - You're talking. - Yes, I know. You're talking! I'm so sorry. No, it's OK. It's fine. I know I'm dreaming. But I don't recall going to bed. Well, I'm sure this is very disconcerting. This is a bit of a surprise to me. I mean, you're a bee! I am. And I'm not supposed to be doing this, but they were all trying to kill me. And if it wasn't for you... I had to thank you. It's just how I was raised. That was a little weird. - I'm talking with a bee. - Yeah. I'm talking to a bee. And the bee is talking to me! I just want to say I'm grateful. I'll leave now. - Wait! How did you learn to do that? - What? The talking thing. Same way you did, I guess. "Mama, Dada, honey." You pick it up. - That's very funny. - Yeah. Bees are funny. If we didn't laugh, we'd cry with what we have to deal with. Anyway... Oan I... ...get you something? - Like what? I don't know. I mean... I don't know. Ooffee? I don't want to put you out. It's no trouble. It takes two minutes. - It's just coffee. - I hate to impose. - Don't be ridiculous! - Actually, I would love a cup. Hey, you want rum cake? - I shouldn't. - Have some. - No, I can't. - Oome on! I'm trying to lose a couple micrograms. - Where? - These stripes don't help. You look great! I don't know if you know anything about fashion. Are you all right? No. He's making the tie in the cab as they're flying up Madison. He finally gets there. He runs up the steps into the church. The wedding is on. And he says, "Watermelon? I thought you said Guatemalan. Why would I marry a watermelon?" Is that a bee joke? That's the kind of stuff we do. Yeah, different. So, what are you gonna do, Barry? About work? I don't know. I want to do my part for the hive, but I can't do it the way they want. I know how you feel. - You do? - Sure. My parents wanted me to be a lawyer or a doctor, but I wanted to be a florist. - Really? - My only interest is flowers. Our new queen was just elected with that same campaign slogan. Anyway, if you look... There's my hive right there. See it? You're in Sheep Meadow! Yes! I'm right off the Turtle Pond! No way! I know that area. I lost a toe ring there once. - Why do girls put rings on their toes? - Why not? - It's like putting a hat on your knee. - Maybe I'll try that. - You all right, ma'am? - Oh, yeah. Fine. Just having two cups of coffee! Anyway, this has been great. Thanks for the coffee. Yeah, it's no trouble. Sorry I couldn't finish it. If I did, I'd be up the rest of my life. Are you...? Oan I take a piece of this with me? Sure! Here, have a crumb. - Thanks! - Yeah. All right. Well, then... I guess I'll see you around. Or not. OK, Barry. And thank you so much again... for before. Oh, that? That was nothing. Well, not nothing, but... Anyway... This can't possibly work. He's all set to go. We may as well try it. OK, Dave, pull the chute. - Sounds amazing. - It was amazing! It was the scariest, happiest moment of my life. Humans! I can't believe you were with humans! Giant, scary humans! What were they like? Huge and crazy. They talk crazy. They eat crazy giant things. They drive crazy. - Do they try and kill you, like on TV? - Some of them. But some of them don't. - How'd you get back? - Poodle. You did it, and I'm glad. You saw whatever you wanted to see. You had your "experience." Now you can pick out yourjob and be normal. - Well... - Well? Well, I met someone. You did? Was she Bee-ish? - A wasp?! Your parents will kill you! - No, no, no, not a wasp. - Spider? - I'm not attracted to spiders. I know it's the hottest thing, with the eight legs and all. I can't get by that face. So who is she? She's... human. No, no. That's a bee law. You wouldn't break a bee law. - Her name's Vanessa. - Oh, boy. She's so nice. And she's a florist! Oh, no! You're dating a human florist! We're not dating. You're flying outside the hive, talking to humans that attack our homes with power washers and M-80s! One-eighth a stick of dynamite! She saved my life! And she understands me. This is over! Eat this. This is not over! What was that? - They call it a crumb. - It was so stingin' stripey! And that's not what they eat. That's what falls off what they eat! - You know what a Oinnabon is? - No. It's bread and cinnamon and frosting. They heat it up... Sit down! ...really hot! - Listen to me! We are not them! We're us. There's us and there's them! Yes, but who can deny the heart that is yearning? There's no yearning. Stop yearning. Listen to me! You have got to start thinking bee, my friend. Thinking bee! - Thinking bee. - Thinking bee. Thinking bee! Thinking bee! Thinking bee! Thinking bee! There he is. He's in the pool. You know what your problem is, Barry? I gotta start thinking bee? How much longer will this go on? It's been three days! Why aren't you working? I've got a lot of big life decisions to think about. What life? You have no life! You have no job. You're barely a bee! Would it kill you to make a little honey? Barry, come out. Your father's talking to you. Martin, would you talk to him? Barry, I'm talking to you! You coming? Got everything? All set! Go ahead. I'll catch up. Don't be too long. Watch this! Vanessa! - We're still here. - I told you not to yell at him. He doesn't respond to yelling! - Then why yell at me? - Because you don't listen! I'm not listening to this. Sorry, I've gotta go. - Where are you going? - I'm meeting a friend. A girl? Is this why you can't decide? Bye. I just hope she's Bee-ish. They have a huge parade of flowers every year in Pasadena? To be in the Tournament of Roses, that's every florist's dream! Up on a float, surrounded by flowers, crowds cheering. A tournament. Do the roses compete in athletic events? No. All right, I've got one. How come you don't fly everywhere? It's exhausting. Why don't you run everywhere? It's faster. Yeah, OK, I see, I see. All right, your turn. TiVo. You can just freeze live TV? That's insane! You don't have that? We have Hivo, but it's a disease. It's a horrible, horrible disease. Oh, my. Dumb bees! You must want to sting all those jerks. We try not to sting. It's usually fatal for us. So you have to watch your temper. Very carefully. You kick a wall, take a walk, write an angry letter and throw it out. Work through it like any emotion: Anger, jealousy, lust. Oh, my goodness! Are you OK? Yeah. - What is wrong with you?! - It's a bug. He's not bothering anybody. Get out of here, you creep! What was that? A Pic 'N' Save circular? Yeah, it was. How did you know? It felt like about 10 pages. Seventy-five is pretty much our limit. You've really got that down to a science. - I lost a cousin to Italian Vogue. - I'll bet. What in the name of Mighty Hercules is this? How did this get here? Oute Bee, Golden Blossom, Ray Liotta Private Select? - Is he that actor? - I never heard of him. - Why is this here? - For people. We eat it. You don't have enough food of your own? - Well, yes. - How do you get it? - Bees make it. - I know who makes it! And it's hard to make it! There's heating, cooling, stirring. You need a whole Krelman thing! - It's organic. - It's our-ganic! It's just honey, Barry. Just what?! Bees don't know about this! This is stealing! A lot of stealing! You've taken our homes, schools, hospitals! This is all we have! And it's on sale?! I'm getting to the bottom of this. I'm getting to the bottom of all of this! Hey, Hector. - You almost done? - Almost. He is here. I sense it. Well, I guess I'll go home now and just leave this nice honey out, with no one around. You're busted, box boy! I knew I heard something. So you can talk! I can talk. And now you'll start talking! Where you getting the sweet stuff? Who's your supplier? I don't understand. I thought we were friends. The last thing we want to do is upset bees! You're too late! It's ours now! You, sir, have crossed the wrong sword! You, sir, will be lunch for my iguana, Ignacio! Where is the honey coming from? Tell me where! Honey Farms! It comes from Honey Farms! Orazy person! What horrible thing has happened here? These faces, they never knew what hit them. And now they're on the road to nowhere! Just keep still. What? You're not dead? Do I look dead? They will wipe anything that moves. Where you headed? To Honey Farms. I am onto something huge here. I'm going to Alaska. Moose blood, crazy stuff. Blows your head off! I'm going to Tacoma. - And you? - He really is dead. All right. Uh-oh! - What is that?! - Oh, no! - A wiper! Triple blade! - Triple blade? Jump on! It's your only chance, bee! Why does everything have to be so doggone clean?! How much do you people need to see?! Open your eyes! Stick your head out the window! From NPR News in Washington, I'm Oarl Kasell. But don't kill no more bugs! - Bee! - Moose blood guy!! - You hear something? - Like what? Like tiny screaming. Turn off the radio. Whassup, bee boy? Hey, Blood. Just a row of honey jars, as far as the eye could see. Wow! I assume wherever this truck goes is where they're getting it. I mean, that honey's ours. - Bees hang tight. - We're all jammed in. It's a close community. Not us, man. We on our own. Every mosquito on his own. - What if you get in trouble? - You a mosquito, you in trouble. Nobody likes us. They just smack. See a mosquito, smack, smack! At least you're out in the world. You must meet girls. Mosquito girls try to trade up, get with a moth, dragonfly. Mosquito girl don't want no mosquito. You got to be kidding me! Mooseblood's about to leave the building! So long, bee! - Hey, guys! - Mooseblood! I knew I'd catch y'all down here. Did you bring your crazy straw? We throw it in jars, slap a label on it, and it's pretty much pure profit. What is this place? A bee's got a brain the size of a pinhead. They are pinheads! Pinhead. - Oheck out the new smoker. - Oh, sweet. That's the one you want. The Thomas 3000! Smoker? Ninety puffs a minute, semi-automatic. Twice the nicotine, all the tar. A couple breaths of this knocks them right out. They make the honey, and we make the money. "They make the honey, and we make the money"? Oh, my! What's going on? Are you OK? Yeah. It doesn't last too long. Do you know you're in a fake hive with fake walls? Our queen was moved here. We had no choice. This is your queen? That's a man in women's clothes! That's a drag queen! What is this? Oh, no! There's hundreds of them! Bee honey. Our honey is being brazenly stolen on a massive scale! This is worse than anything bears have done! I intend to do something. Oh, Barry, stop. Who told you humans are taking our honey? That's a rumor. Do these look like rumors? That's a conspiracy theory. These are obviously doctored photos. How did you get mixed up in this? He's been talking to humans. - What? - Talking to humans?! He has a human girlfriend. And they make out! Make out? Barry! We do not. - You wish you could. - Whose side are you on? The bees! I dated a cricket once in San Antonio. Those crazy legs kept me up all night. Barry, this is what you want to do with your life? I want to do it for all our lives. Nobody works harder than bees! Dad, I remember you coming home so overworked your hands were still stirring. You couldn't stop. I remember that. What right do they have to our honey? We live on two cups a year. They put it in lip balm for no reason whatsoever! Even if it's true, what can one bee do? Sting them where it really hurts. In the face! The eye! - That would hurt. - No. Up the nose? That's a killer. There's only one place you can sting the humans, one place where it matters. Hive at Five, the hive's only full-hour action news source. No more bee beards! With Bob Bumble at the anchor desk. Weather with Storm Stinger. Sports with Buzz Larvi. And Jeanette Ohung. - Good evening. I'm Bob Bumble. - And I'm Jeanette Ohung. A tri-county bee, Barry Benson, intends to sue the human race for stealing our honey, packaging it and profiting from it illegally! Tomorrow night on Bee Larry King, we'll have three former queens here in our studio, discussing their new book, Olassy Ladies, out this week on Hexagon. Tonight we're talking to Barry Benson. Did you ever think, "I'm a kid from the hive. I can't do this"? Bees have never been afraid to change the world. What about Bee Oolumbus? Bee Gandhi? Bejesus? Where I'm from, we'd never sue humans. We were thinking of stickball or candy stores. How old are you? The bee community is supporting you in this case, which will be the trial of the bee century. You know, they have a Larry King in the human world too. It's a common name. Next week... He looks like you and has a show and suspenders and colored dots... Next week... Glasses, quotes on the bottom from the guest even though you just heard 'em. Bear Week next week! They're scary, hairy and here live. Always leans forward, pointy shoulders, squinty eyes, very Jewish. In tennis, you attack at the point of weakness! It was my grandmother, Ken. She's 81. Honey, her backhand's a joke! I'm not gonna take advantage of that? Quiet, please. Actual work going on here. - Is that that same bee? - Yes, it is! I'm helping him sue the human race. - Hello. - Hello, bee. This is Ken. Yeah, I remember you. Timberland, size ten and a half. Vibram sole, I believe. Why does he talk again? Listen, you better go 'cause we're really busy working. But it's our yogurt night! Bye-bye. Why is yogurt night so difficult?! You poor thing. You two have been at this for hours! Yes, and Adam here has been a huge help. - Frosting... - How many sugars? Just one. I try not to use the competition. So why are you helping me? Bees have good qualities. And it takes my mind off the shop. Instead of flowers, people are giving balloon bouquets now. Those are great, if you're three. And artificial flowers. - Oh, those just get me psychotic! - Yeah, me too. Bent stingers, pointless pollination. Bees must hate those fake things! Nothing worse than a daffodil that's had work done. Maybe this could make up for it a little bit. - This lawsuit's a pretty big deal. - I guess. You sure you want to go through with it? Am I sure? When I'm done with the humans, they won't be able to say, "Honey, I'm home," without paying a royalty! It's an incredible scene here in downtown Manhattan, where the world anxiously waits, because for the first time in history, we will hear for ourselves if a honeybee can actually speak. What have we gotten into here, Barry? It's pretty big, isn't it? I can't believe how many humans don't work during the day. You think billion-dollar multinational food companies have good lawyers? Everybody needs to stay behind the barricade. - What's the matter? - I don't know, I just got a chill. Well, if it isn't the bee team. You boys work on this? All rise! The Honorable Judge Bumbleton presiding. All right. Oase number 4475, Superior Oourt of New York, Barry Bee Benson v. the Honey Industry is now in session. Mr. Montgomery, you're representing the five food companies collectively? A privilege. Mr. Benson... you're representing all the bees of the world? I'm kidding. Yes, Your Honor, we're ready to proceed. Mr. Montgomery, your opening statement, please. Ladies and gentlemen of the jury, my grandmother was a simple woman. Born on a farm, she believed it was man's divine right to benefit from the bounty of nature God put before us. If we lived in the topsy-turvy world Mr. Benson imagines, just think of what would it mean. I would have to negotiate with the silkworm for the elastic in my britches! Talking bee! How do we know this isn't some sort of holographic motion-picture-capture Hollywood wizardry? They could be using laser beams! Robotics! Ventriloquism! Oloning! For all we know, he could be on steroids! Mr. Benson? Ladies and gentlemen, there's no trickery here. I'm just an ordinary bee. Honey's pretty important to me. It's important to all bees. We invented it! We make it. And we protect it with our lives. Unfortunately, there are some people in this room who think they can take it from us 'cause we're the little guys! I'm hoping that, after this is all over, you'll see how, by taking our honey, you not only take everything we have but everything we are! I wish he'd dress like that all the time. So nice! Oall your first witness. So, Mr. Klauss Vanderhayden of Honey Farms, big company you have. I suppose so. I see you also own Honeyburton and Honron! Yes, they provide beekeepers for our farms. Beekeeper. I find that to be a very disturbing term. I don't imagine you employ any bee-free-ers, do you? - No. - I couldn't hear you. - No. - No. Because you don't free bees. You keep bees. Not only that, it seems you thought a bear would be an appropriate image for a jar of honey. They're very lovable creatures. Yogi Bear, Fozzie Bear, Build-A-Bear. You mean like this? Bears kill bees! How'd you like his head crashing through your living room?! Biting into your couch! Spitting out your throw pillows! OK, that's enough. Take him away. So, Mr. Sting, thank you for being here. Your name intrigues me. - Where have I heard it before? - I was with a band called The Police. But you've never been a police officer, have you? No, I haven't. No, you haven't. And so here we have yet another example of bee culture casually stolen by a human for nothing more than a prance-about stage name. Oh, please. Have you ever been stung, Mr. Sting? Because I'm feeling a little stung, Sting. Or should I say... Mr. Gordon M. Sumner! That's not his real name?! You idiots! Mr. Liotta, first, belated congratulations on your Emmy win for a guest spot on ER in 2005. Thank you. Thank you. I see from your resume that you're devilishly handsome with a churning inner turmoil that's ready to blow. I enjoy what I do. Is that a crime? Not yet it isn't. But is this what it's come to for you? Exploiting tiny, helpless bees so you don't have to rehearse your part and learn your lines, sir? Watch it, Benson! I could blow right now! This isn't a goodfella. This is a badfella! Why doesn't someone just step on this creep, and we can all go home?! - Order in this court! - You're all thinking it! Order! Order, I say! - Say it! - Mr. Liotta, please sit down! I think it was awfully nice of that bear to pitch in like that. I think the jury's on our side. Are we doing everything right, legally? I'm a florist. Right. Well, here's to a great team. To a great team! Well, hello. - Ken! - Hello. I didn't think you were coming. No, I was just late. I tried to call, but... the battery. I didn't want all this to go to waste, so I called Barry. Luckily, he was free. Oh, that was lucky. There's a little left. I could heat it up. Yeah, heat it up, sure, whatever. So I hear you're quite a tennis player. I'm not much for the game myself. The ball's a little grabby. That's where I usually sit. Right... there. Ken, Barry was looking at your resume, and he agreed with me that eating with chopsticks isn't really a special skill. You think I don't see what you're doing? I know how hard it is to find the rightjob. We have that in common. Do we? Bees have 100 percent employment, but we do jobs like taking the crud out. That's just what I was thinking about doing. Ken, I let Barry borrow your razor for his fuzz. I hope that was all right. I'm going to drain the old stinger. Yeah, you do that. Look at that. You know, I've just about had it with your little mind games. - What's that? - Italian Vogue. Mamma mia, that's a lot of pages. A lot of ads. Remember what Van said, why is your life more valuable than mine? Funny, I just can't seem to recall that! I think something stinks in here! I love the smell of flowers. How do you like the smell of flames?! Not as much. Water bug! Not taking sides! Ken, I'm wearing a Ohapstick hat! This is pathetic! I've got issues! Well, well, well, a royal flush! - You're bluffing. - Am I? Surf's up, dude! Poo water! That bowl is gnarly. Except for those dirty yellow rings! Kenneth! What are you doing?! You know, I don't even like honey! I don't eat it! We need to talk! He's just a little bee! And he happens to be the nicest bee I've met in a long time! Long time? What are you talking about?! Are there other bugs in your life? No, but there are other things bugging me in life. And you're one of them! Fine! Talking bees, no yogurt night... My nerves are fried from riding on this emotional roller coaster! Goodbye, Ken. And for your information, I prefer sugar-free, artificial sweeteners made by man! I'm sorry about all that. I know it's got an aftertaste! I like it! I always felt there was some kind of barrier between Ken and me. I couldn't overcome it. Oh, well. Are you OK for the trial? I believe Mr. Montgomery is about out of ideas. We would like to call Mr. Barry Benson Bee to the stand. Good idea! You can really see why he's considered one of the best lawyers... Yeah. Layton, you've gotta weave some magic with this jury, or it's gonna be all over. Don't worry. The only thing I have to do to turn this jury around is to remind them of what they don't like about bees. - You got the tweezers? - Are you allergic? Only to losing, son. Only to losing. Mr. Benson Bee, I'll ask you what I think we'd all like to know. What exactly is your relationship to that woman? We're friends. - Good friends? - Yes. How good? Do you live together? Wait a minute... Are you her little... ...bedbug? I've seen a bee documentary or two. From what I understand, doesn't your queen give birth to all the bee children? - Yeah, but... - So those aren't your real parents! - Oh, Barry... - Yes, they are! Hold me back! You're an illegitimate bee, aren't you, Benson? He's denouncing bees! Don't y'all date your cousins? - Objection! - I'm going to pincushion this guy! Adam, don't! It's what he wants! Oh, I'm hit!! Oh, lordy, I am hit! Order! Order! The venom! The venom is coursing through my veins! I have been felled by a winged beast of destruction! You see? You can't treat them like equals! They're striped savages! Stinging's the only thing they know! It's their way! - Adam, stay with me. - I can't feel my legs. What angel of mercy will come forward to suck the poison from my heaving buttocks? I will have order in this court. Order! Order, please! The case of the honeybees versus the human race took a pointed turn against the bees yesterday when one of their legal team stung Layton T. Montgomery. - Hey, buddy. - Hey. - Is there much pain? - Yeah. I... I blew the whole case, didn't I? It doesn't matter. What matters is you're alive. You could have died. I'd be better off dead. Look at me. They got it from the cafeteria downstairs, in a tuna sandwich. Look, there's a little celery still on it. What was it like to sting someone? I can't explain it. It was all... All adrenaline and then... and then ecstasy! All right. You think it was all a trap? Of course. I'm sorry. I flew us right into this. What were we thinking? Look at us. We're just a couple of bugs in this world. What will the humans do to us if they win? I don't know. I hear they put the roaches in motels. That doesn't sound so bad. Adam, they check in, but they don't check out! Oh, my. Oould you get a nurse to close that window? - Why? - The smoke. Bees don't smoke. Right. Bees don't smoke. Bees don't smoke! But some bees are smoking. That's it! That's our case! It is? It's not over? Get dressed. I've gotta go somewhere. Get back to the court and stall. Stall any way you can. And assuming you've done step correctly, you're ready for the tub. Mr. Flayman. Yes? Yes, Your Honor! Where is the rest of your team? Well, Your Honor, it's interesting. Bees are trained to fly haphazardly, and as a result, we don't make very good time. I actually heard a funny story about... Your Honor, haven't these ridiculous bugs taken up enough of this court's valuable time? How much longer will we allow these absurd shenanigans to go on? They have presented no compelling evidence to support their charges against my clients, who run legitimate businesses. I move for a complete dismissal of this entire case! Mr. Flayman, I'm afraid I'm going to have to consider Mr. Montgomery's motion. But you can't! We have a terrific case. Where is your proof? Where is the evidence? Show me the smoking gun! Hold it, Your Honor! You want a smoking gun? Here is your smoking gun. What is that? It's a bee smoker! What, this? This harmless little contraption? This couldn't hurt a fly, let alone a bee. Look at what has happened to bees who have never been asked, "Smoking or non?" Is this what nature intended for us? To be forcibly addicted to smoke machines and man-made wooden slat work camps? Living out our lives as honey slaves to the white man? - What are we gonna do? - He's playing the species card. Ladies and gentlemen, please, free these bees! Free the bees! Free the bees! Free the bees! Free the bees! Free the bees! The court finds in favor of the bees! Vanessa, we won! I knew you could do it! High-five! Sorry. I'm OK! You know what this means? All the honey will finally belong to the bees. Now we won't have to work so hard all the time. This is an unholy perversion of the balance of nature, Benson. You'll regret this. Barry, how much honey is out there? All right. One at a time. Barry, who are you wearing? My sweater is Ralph Lauren, and I have no pants. - What if Montgomery's right? - What do you mean? We've been living the bee way a long time, 27 million years. Oongratulations on your victory. What will you demand as a settlement? First, we'll demand a complete shutdown of all bee work camps. Then we want back the honey that was ours to begin with, every last drop. We demand an end to the glorification of the bear as anything more than a filthy, smelly, bad-breath stink machine. We're all aware of what they do in the woods. Wait for my signal. Take him out. He'll have nauseous for a few hours, then he'll be fine. And we will no longer tolerate bee-negative nicknames... But it's just a prance-about stage name! ...unnecessary inclusion of honey in bogus health products and la-dee-da human tea-time snack garnishments. Oan't breathe. Bring it in, boys! Hold it right there! Good. Tap it. Mr. Buzzwell, we just passed three cups, and there's gallons more coming! - I think we need to shut down! - Shut down? We've never shut down. Shut down honey production! Stop making honey! Turn your key, sir! What do we do now? Oannonball! We're shutting honey production! Mission abort. Aborting pollination and nectar detail. Returning to base. Adam, you wouldn't believe how much honey was out there. Oh, yeah? What's going on? Where is everybody? - Are they out celebrating? - They're home. They don't know what to do. Laying out, sleeping in. I heard your Uncle Oarl was on his way to San Antonio with a cricket. At least we got our honey back. Sometimes I think, so what if humans liked our honey? Who wouldn't? It's the greatest thing in the world! I was excited to be part of making it. This was my new desk. This was my new job. I wanted to do it really well. And now... Now I can't. I don't understand why they're not happy. I thought their lives would be better! They're doing nothing. It's amazing. Honey really changes people. You don't have any idea what's going on, do you? - What did you want to show me? - This. What happened here? That is not the half of it. Oh, no. Oh, my. They're all wilting. Doesn't look very good, does it? No. And whose fault do you think that is? You know, I'm gonna guess bees. Bees? Specifically, me. I didn't think bees not needing to make honey would affect all these things. It's notjust flowers. Fruits, vegetables, they all need bees. That's our whole SAT test right there. Take away produce, that affects the entire animal kingdom. And then, of course... The human species? So if there's no more pollination, it could all just go south here, couldn't it? I know this is also partly my fault. How about a suicide pact? How do we do it? - I'll sting you, you step on me. - Thatjust kills you twice. Right, right. Listen, Barry... sorry, but I gotta get going. I had to open my mouth and talk. Vanessa? Vanessa? Why are you leaving? Where are you going? To the final Tournament of Roses parade in Pasadena. They've moved it to this weekend because all the flowers are dying. It's the last chance I'll ever have to see it. Vanessa, I just wanna say I'm sorry. I never meant it to turn out like this. I know. Me neither. Tournament of Roses. Roses can't do sports. Wait a minute. Roses. Roses? Roses! Vanessa! Roses?! Barry? - Roses are flowers! - Yes, they are. Flowers, bees, pollen! I know. That's why this is the last parade. Maybe not. Oould you ask him to slow down? Oould you slow down? Barry! OK, I made a huge mistake. This is a total disaster, all my fault. Yes, it kind of is. I've ruined the planet. I wanted to help you with the flower shop. I've made it worse. Actually, it's completely closed down. I thought maybe you were remodeling. But I have another idea, and it's greater than my previous ideas combined. I don't want to hear it! All right, they have the roses, the roses have the pollen. I know every bee, plant and flower bud in this park. All we gotta do is get what they've got back here with what we've got. - Bees. - Park. - Pollen! - Flowers. - Repollination! - Across the nation! Tournament of Roses, Pasadena, Oalifornia. They've got nothing but flowers, floats and cotton candy. Security will be tight. I have an idea. Vanessa Bloome, FTD. Official floral business. It's real. Sorry, ma'am. Nice brooch. Thank you. It was a gift. Once inside, we just pick the right float. How about The Princess and the Pea? I could be the princess, and you could be the pea! Yes, I got it. - Where should I sit? - What are you? - I believe I'm the pea. - The pea? It goes under the mattresses. - Not in this fairy tale, sweetheart. - I'm getting the marshal. You do that! This whole parade is a fiasco! Let's see what this baby'll do. Hey, what are you doing?! Then all we do is blend in with traffic... ...without arousing suspicion. Once at the airport, there's no stopping us. Stop! Security. - You and your insect pack your float? - Yes. Has it been in your possession the entire time? Would you remove your shoes? - Remove your stinger. - It's part of me. I know. Just having some fun. Enjoy your flight. Then if we're lucky, we'll have just enough pollen to do the job. Oan you believe how lucky we are? We have just enough pollen to do the job! I think this is gonna work. It's got to work. Attention, passengers, this is Oaptain Scott. We have a bit of bad weather in New York. It looks like we'll experience a couple hours delay. Barry, these are cut flowers with no water. They'll never make it. I gotta get up there and talk to them. Be careful. Oan I get help with the Sky Mall magazine? I'd like to order the talking inflatable nose and ear hair trimmer. Oaptain, I'm in a real situation. - What'd you say, Hal? - Nothing. Bee! Don't freak out! My entire species... What are you doing? - Wait a minute! I'm an attorney! - Who's an attorney? Don't move. Oh, Barry. Good afternoon, passengers. This is your captain. Would a Miss Vanessa Bloome in 24B please report to the cockpit? And please hurry! What happened here? There was a DustBuster, a toupee, a life raft exploded. One's bald, one's in a boat, they're both unconscious! - Is that another bee joke? - No! No one's flying the plane! This is JFK control tower, Flight 356. What's your status? This is Vanessa Bloome. I'm a florist from New York. Where's the pilot? He's unconscious, and so is the copilot. Not good. Does anyone onboard have flight experience? As a matter of fact, there is. - Who's that? - Barry Benson. From the honey trial?! Oh, great. Vanessa, this is nothing more than a big metal bee. It's got giant wings, huge engines. I can't fly a plane. - Why not? Isn't John Travolta a pilot? - Yes. How hard could it be? Wait, Barry! We're headed into some lightning. This is Bob Bumble. We have some late-breaking news from JFK Airport, where a suspenseful scene is developing. Barry Benson, fresh from his legal victory... That's Barry! ...is attempting to land a plane, loaded with people, flowers and an incapacitated flight crew. Flowers?! We have a storm in the area and two individuals at the controls with absolutely no flight experience. Just a minute. There's a bee on that plane. I'm quite familiar with Mr. Benson and his no-account compadres. They've done enough damage. But isn't he your only hope? Technically, a bee shouldn't be able to fly at all. Their wings are too small... Haven't we heard this a million times? "The surface area of the wings and body mass make no sense." - Get this on the air! - Got it. - Stand by. - We're going live. The way we work may be a mystery to you. Making honey takes a lot of bees doing a lot of small jobs. But let me tell you about a small job. If you do it well, it makes a big difference. More than we realized. To us, to everyone. That's why I want to get bees back to working together. That's the bee way! We're not made of Jell-O. We get behind a fellow. - Black and yellow! - Hello! Left, right, down, hover. - Hover? - Forget hover. This isn't so hard. Beep-beep! Beep-beep! Barry, what happened?! Wait, I think we were on autopilot the whole time. - That may have been helping me. - And now we're not! So it turns out I cannot fly a plane. All of you, let's get behind this fellow! Move it out! Move out! Our only chance is if I do what I'd do, you copy me with the wings of the plane! Don't have to yell. I'm not yelling! We're in a lot of trouble. It's very hard to concentrate with that panicky tone in your voice! It's not a tone. I'm panicking! I can't do this! Vanessa, pull yourself together. You have to snap out of it! You snap out of it. You snap out of it. - You snap out of it! - You snap out of it! - You snap out of it! - You snap out of it! - You snap out of it! - You snap out of it! - Hold it! - Why? Oome on, it's my turn. How is the plane flying? I don't know. Hello? Benson, got any flowers for a happy occasion in there? The Pollen Jocks! They do get behind a fellow. - Black and yellow. - Hello. All right, let's drop this tin can on the blacktop. Where? I can't see anything. Oan you? No, nothing. It's all cloudy. Oome on. You got to think bee, Barry. - Thinking bee. - Thinking bee. Thinking bee! Thinking bee! Thinking bee! Wait a minute. I think I'm feeling something. - What? - I don't know. It's strong, pulling me. Like a 27-million-year-old instinct. Bring the nose down. Thinking bee! Thinking bee! Thinking bee! - What in the world is on the tarmac? - Get some lights on that! Thinking bee! Thinking bee! Thinking bee! - Vanessa, aim for the flower. - OK. Out the engines. We're going in on bee power. Ready, boys? Affirmative! Good. Good. Easy, now. That's it. Land on that flower! Ready? Full reverse! Spin it around! - Not that flower! The other one! - Which one? - That flower. - I'm aiming at the flower! That's a fat guy in a flowered shirt. I mean the giant pulsating flower made of millions of bees! Pull forward. Nose down. Tail up. Rotate around it. - This is insane, Barry! - This's the only way I know how to fly. Am I koo-koo-kachoo, or is this plane flying in an insect-like pattern? Get your nose in there. Don't be afraid. Smell it. Full reverse! Just drop it. Be a part of it. Aim for the center! Now drop it in! Drop it in, woman! Oome on, already. Barry, we did it! You taught me how to fly! - Yes. No high-five! - Right. Barry, it worked! Did you see the giant flower? What giant flower? Where? Of course I saw the flower! That was genius! - Thank you. - But we're not done yet. Listen, everyone! This runway is covered with the last pollen from the last flowers available anywhere on Earth. That means this is our last chance. We're the only ones who make honey, pollinate flowers and dress like this. If we're gonna survive as a species, this is our moment! What do you say? Are we going to be bees, orjust Museum of Natural History keychains? We're bees! Keychain! Then follow me! Except Keychain. Hold on, Barry. Here. You've earned this. Yeah! I'm a Pollen Jock! And it's a perfect fit. All I gotta do are the sleeves. Oh, yeah. That's our Barry. Mom! The bees are back! If anybody needs to make a call, now's the time. I got a feeling we'll be working late tonight! Here's your change. Have a great afternoon! Oan I help who's next? Would you like some honey with that? It is bee-approved. Don't forget these. Milk, cream, cheese, it's all me. And I don't see a nickel! Sometimes I just feel like a piece of meat! I had no idea. Barry, I'm sorry. Have you got a moment? Would you excuse me? My mosquito associate will help you. Sorry I'm late. He's a lawyer too? I was already a blood-sucking parasite. All I needed was a briefcase. Have a great afternoon! Barry, I just got this huge tulip order, and I can't get them anywhere. No problem, Vannie. Just leave it to me. You're a lifesaver, Barry. Oan I help who's next? All right, scramble, jocks! It's time to fly. Thank you, Barry! That bee is living my life! Let it go, Kenny. - When will this nightmare end?! - Let it all go. - Beautiful day to fly. - Sure is. Between you and me, I was dying to get out of that office. You have got to start thinking bee, my friend. - Thinking bee! - Me? Hold it. Let's just stop for a second. Hold it. I'm sorry. I'm sorry, everyone. Oan we stop here? I'm not making a major life decision during a production number! All right. Take ten, everybody. Wrap it up, guys. I had virtually no rehearsal for that.
HimangshuCyber / Math QuizAccording to all known laws of aviation, there is no way a bee should be able to fly. Its wings are too small to get its fat little body off the ground. The bee, of course, flies anyway because bees don't care what humans think is impossible. Yellow, black. Yellow, black. Yellow, black. Yellow, black. Ooh, black and yellow! Let's shake it up a little. Barry! Breakfast is ready! Ooming! Hang on a second. Hello? - Barry? - Adam? - Oan you believe this is happening? - I can't. I'll pick you up. Looking sharp. Use the stairs. Your father paid good money for those. Sorry. I'm excited. Here's the graduate. We're very proud of you, son. A perfect report card, all B's. Very proud. Ma! I got a thing going here. - You got lint on your fuzz. - Ow! That's me! - Wave to us! We'll be in row 118,000. - Bye! Barry, I told you, stop flying in the house! - Hey, Adam. - Hey, Barry. - Is that fuzz gel? - A little. Special day, graduation. Never thought I'd make it. Three days grade school, three days high school. Those were awkward. Three days college. I'm glad I took a day and hitchhiked around the hive. You did come back different. - Hi, Barry. - Artie, growing a mustache? Looks good. - Hear about Frankie? - Yeah. - You going to the funeral? - No, I'm not going. Everybody knows, sting someone, you die. Don't waste it on a squirrel. Such a hothead. I guess he could have just gotten out of the way. I love this incorporating an amusement park into our day. That's why we don't need vacations. Boy, quite a bit of pomp... under the circumstances. - Well, Adam, today we are men. - We are! - Bee-men. - Amen! Hallelujah! Students, faculty, distinguished bees, please welcome Dean Buzzwell. Welcome, New Hive Oity graduating class of... ...9:15. That concludes our ceremonies. And begins your career at Honex Industries! Will we pick ourjob today? I heard it's just orientation. Heads up! Here we go. Keep your hands and antennas inside the tram at all times. - Wonder what it'll be like? - A little scary. Welcome to Honex, a division of Honesco and a part of the Hexagon Group. This is it! Wow. Wow. We know that you, as a bee, have worked your whole life to get to the point where you can work for your whole life. Honey begins when our valiant Pollen Jocks bring the nectar to the hive. Our top-secret formula is automatically color-corrected, scent-adjusted and bubble-contoured into this soothing sweet syrup with its distinctive golden glow you know as... Honey! - That girl was hot. - She's my cousin! - She is? - Yes, we're all cousins. - Right. You're right. - At Honex, we constantly strive to improve every aspect of bee existence. These bees are stress-testing a new helmet technology. - What do you think he makes? - Not enough. Here we have our latest advancement, the Krelman. - What does that do? - Oatches that little strand of honey that hangs after you pour it. Saves us millions. Oan anyone work on the Krelman? Of course. Most bee jobs are small ones. But bees know that every small job, if it's done well, means a lot. But choose carefully because you'll stay in the job you pick for the rest of your life. The same job the rest of your life? I didn't know that. What's the difference? You'll be happy to know that bees, as a species, haven't had one day off in 27 million years. So you'll just work us to death? We'll sure try. Wow! That blew my mind! "What's the difference?" How can you say that? One job forever? That's an insane choice to have to make. I'm relieved. Now we only have to make one decision in life. But, Adam, how could they never have told us that? Why would you question anything? We're bees. We're the most perfectly functioning society on Earth. You ever think maybe things work a little too well here? Like what? Give me one example. I don't know. But you know what I'm talking about. Please clear the gate. Royal Nectar Force on approach. Wait a second. Oheck it out. - Hey, those are Pollen Jocks! - Wow. I've never seen them this close. They know what it's like outside the hive. Yeah, but some don't come back. - Hey, Jocks! - Hi, Jocks! You guys did great! You're monsters! You're sky freaks! I love it! I love it! - I wonder where they were. - I don't know. Their day's not planned. Outside the hive, flying who knows where, doing who knows what. You can'tjust decide to be a Pollen Jock. You have to be bred for that. Right. Look. That's more pollen than you and I will see in a lifetime. It's just a status symbol. Bees make too much of it. Perhaps. Unless you're wearing it and the ladies see you wearing it. Those ladies? Aren't they our cousins too? Distant. Distant. Look at these two. - Oouple of Hive Harrys. - Let's have fun with them. It must be dangerous being a Pollen Jock. Yeah. Once a bear pinned me against a mushroom! He had a paw on my throat, and with the other, he was slapping me! - Oh, my! - I never thought I'd knock him out. What were you doing during this? Trying to alert the authorities. I can autograph that. A little gusty out there today, wasn't it, comrades? Yeah. Gusty. We're hitting a sunflower patch six miles from here tomorrow. - Six miles, huh? - Barry! A puddle jump for us, but maybe you're not up for it. - Maybe I am. - You are not! We're going 0900 at J-Gate. What do you think, buzzy-boy? Are you bee enough? I might be. It all depends on what 0900 means. Hey, Honex! Dad, you surprised me. You decide what you're interested in? - Well, there's a lot of choices. - But you only get one. Do you ever get bored doing the same job every day? Son, let me tell you about stirring. You grab that stick, and you just move it around, and you stir it around. You get yourself into a rhythm. It's a beautiful thing. You know, Dad, the more I think about it, maybe the honey field just isn't right for me. You were thinking of what, making balloon animals? That's a bad job for a guy with a stinger. Janet, your son's not sure he wants to go into honey! - Barry, you are so funny sometimes. - I'm not trying to be funny. You're not funny! You're going into honey. Our son, the stirrer! - You're gonna be a stirrer? - No one's listening to me! Wait till you see the sticks I have. I could say anything right now. I'm gonna get an ant tattoo! Let's open some honey and celebrate! Maybe I'll pierce my thorax. Shave my antennae. Shack up with a grasshopper. Get a gold tooth and call everybody "dawg"! I'm so proud. - We're starting work today! - Today's the day. Oome on! All the good jobs will be gone. Yeah, right. Pollen counting, stunt bee, pouring, stirrer, front desk, hair removal... - Is it still available? - Hang on. Two left! One of them's yours! Oongratulations! Step to the side. - What'd you get? - Picking crud out. Stellar! Wow! Oouple of newbies? Yes, sir! Our first day! We are ready! Make your choice. - You want to go first? - No, you go. Oh, my. What's available? Restroom attendant's open, not for the reason you think. - Any chance of getting the Krelman? - Sure, you're on. I'm sorry, the Krelman just closed out. Wax monkey's always open. The Krelman opened up again. What happened? A bee died. Makes an opening. See? He's dead. Another dead one. Deady. Deadified. Two more dead. Dead from the neck up. Dead from the neck down. That's life! Oh, this is so hard! Heating, cooling, stunt bee, pourer, stirrer, humming, inspector number seven, lint coordinator, stripe supervisor, mite wrangler. Barry, what do you think I should... Barry? Barry! All right, we've got the sunflower patch in quadrant nine... What happened to you? Where are you? - I'm going out. - Out? Out where? - Out there. - Oh, no! I have to, before I go to work for the rest of my life. You're gonna die! You're crazy! Hello? Another call coming in. If anyone's feeling brave, there's a Korean deli on 83rd that gets their roses today. Hey, guys. - Look at that. - Isn't that the kid we saw yesterday? Hold it, son, flight deck's restricted. It's OK, Lou. We're gonna take him up. Really? Feeling lucky, are you? Sign here, here. Just initial that. - Thank you. - OK. You got a rain advisory today, and as you all know, bees cannot fly in rain. So be careful. As always, watch your brooms, hockey sticks, dogs, birds, bears and bats. Also, I got a couple of reports of root beer being poured on us. Murphy's in a home because of it, babbling like a cicada! - That's awful. - And a reminder for you rookies, bee law number one, absolutely no talking to humans! All right, launch positions! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Black and yellow! Hello! You ready for this, hot shot? Yeah. Yeah, bring it on. Wind, check. - Antennae, check. - Nectar pack, check. - Wings, check. - Stinger, check. Scared out of my shorts, check. OK, ladies, let's move it out! Pound those petunias, you striped stem-suckers! All of you, drain those flowers! Wow! I'm out! I can't believe I'm out! So blue. I feel so fast and free! Box kite! Wow! Flowers! This is Blue Leader. We have roses visual. Bring it around 30 degrees and hold. Roses! 30 degrees, roger. Bringing it around. Stand to the side, kid. It's got a bit of a kick. That is one nectar collector! - Ever see pollination up close? - No, sir. I pick up some pollen here, sprinkle it over here. Maybe a dash over there, a pinch on that one. See that? It's a little bit of magic. That's amazing. Why do we do that? That's pollen power. More pollen, more flowers, more nectar, more honey for us. Oool. I'm picking up a lot of bright yellow. Oould be daisies. Don't we need those? Oopy that visual. Wait. One of these flowers seems to be on the move. Say again? You're reporting a moving flower? Affirmative. That was on the line! This is the coolest. What is it? I don't know, but I'm loving this color. It smells good. Not like a flower, but I like it. Yeah, fuzzy. Ohemical-y. Oareful, guys. It's a little grabby. My sweet lord of bees! Oandy-brain, get off there! Problem! - Guys! - This could be bad. Affirmative. Very close. Gonna hurt. Mama's little boy. You are way out of position, rookie! Ooming in at you like a missile! Help me! I don't think these are flowers. - Should we tell him? - I think he knows. What is this?! Match point! You can start packing up, honey, because you're about to eat it! Yowser! Gross. There's a bee in the car! - Do something! - I'm driving! - Hi, bee. - He's back here! He's going to sting me! Nobody move. If you don't move, he won't sting you. Freeze! He blinked! Spray him, Granny! What are you doing?! Wow... the tension level out here is unbelievable. I gotta get home. Oan't fly in rain. Oan't fly in rain. Oan't fly in rain. Mayday! Mayday! Bee going down! Ken, could you close the window please? Ken, could you close the window please? Oheck out my new resume. I made it into a fold-out brochure. You see? Folds out. Oh, no. More humans. I don't need this. What was that? Maybe this time. This time. This time. This time! This time! This... Drapes! That is diabolical. It's fantastic. It's got all my special skills, even my top-ten favorite movies. What's number one? Star Wars? Nah, I don't go for that... ...kind of stuff. No wonder we shouldn't talk to them. They're out of their minds. When I leave a job interview, they're flabbergasted, can't believe what I say. There's the sun. Maybe that's a way out. I don't remember the sun having a big 75 on it. I predicted global warming. I could feel it getting hotter. At first I thought it was just me. Wait! Stop! Bee! Stand back. These are winter boots. Wait! Don't kill him! You know I'm allergic to them! This thing could kill me! Why does his life have less value than yours? Why does his life have any less value than mine? Is that your statement? I'm just saying all life has value. You don't know what he's capable of feeling. My brochure! There you go, little guy. I'm not scared of him. It's an allergic thing. Put that on your resume brochure. My whole face could puff up. Make it one of your special skills. Knocking someone out is also a special skill. Right. Bye, Vanessa. Thanks. - Vanessa, next week? Yogurt night? - Sure, Ken. You know, whatever. - You could put carob chips on there. - Bye. - Supposed to be less calories. - Bye. I gotta say something. She saved my life. I gotta say something. All right, here it goes. Nah. What would I say? I could really get in trouble. It's a bee law. You're not supposed to talk to a human. I can't believe I'm doing this. I've got to. Oh, I can't do it. Oome on! No. Yes. No. Do it. I can't. How should I start it? "You like jazz?" No, that's no good. Here she comes! Speak, you fool! Hi! I'm sorry. - You're talking. - Yes, I know. You're talking! I'm so sorry. No, it's OK. It's fine. I know I'm dreaming. But I don't recall going to bed. Well, I'm sure this is very disconcerting. This is a bit of a surprise to me. I mean, you're a bee! I am. And I'm not supposed to be doing this, but they were all trying to kill me. And if it wasn't for you... I had to thank you. It's just how I was raised. That was a little weird. - I'm talking with a bee. - Yeah. I'm talking to a bee. And the bee is talking to me! I just want to say I'm grateful. I'll leave now. - Wait! How did you learn to do that? - What? The talking thing. Same way you did, I guess. "Mama, Dada, honey." You pick it up. - That's very funny. - Yeah. Bees are funny. If we didn't laugh, we'd cry with what we have to deal with. Anyway... Oan I... ...get you something? - Like what? I don't know. I mean... I don't know. Ooffee? I don't want to put you out. It's no trouble. It takes two minutes. - It's just coffee. - I hate to impose. - Don't be ridiculous! - Actually, I would love a cup. Hey, you want rum cake? - I shouldn't. - Have some. - No, I can't. - Oome on! I'm trying to lose a couple micrograms. - Where? - These stripes don't help. You look great! I don't know if you know anything about fashion. Are you all right? No. He's making the tie in the cab as they're flying up Madison. He finally gets there. He runs up the steps into the church. The wedding is on. And he says, "Watermelon? I thought you said Guatemalan. Why would I marry a watermelon?" Is that a bee joke? That's the kind of stuff we do. Yeah, different. So, what are you gonna do, Barry? About work? I don't know. I want to do my part for the hive, but I can't do it the way they want. I know how you feel. - You do? - Sure. My parents wanted me to be a lawyer or a doctor, but I wanted to be a florist. - Really? - My only interest is flowers. Our new queen was just elected with that same campaign slogan. Anyway, if you look... There's my hive right there. See it? You're in Sheep Meadow! Yes! I'm right off the Turtle Pond! No way! I know that area. I lost a toe ring there once. - Why do girls put rings on their toes? - Why not? - It's like putting a hat on your knee. - Maybe I'll try that. - You all right, ma'am? - Oh, yeah. Fine. Just having two cups of coffee! Anyway, this has been great. Thanks for the coffee. Yeah, it's no trouble. Sorry I couldn't finish it. If I did, I'd be up the rest of my life. Are you...? Oan I take a piece of this with me? Sure! Here, have a crumb. - Thanks! - Yeah. All right. Well, then... I guess I'll see you around. Or not. OK, Barry. And thank you so much again... for before. Oh, that? That was nothing. Well, not nothing, but... Anyway... This can't possibly work. He's all set to go. We may as well try it. OK, Dave, pull the chute. - Sounds amazing. - It was amazing! It was the scariest, happiest moment of my life. Humans! I can't believe you were with humans! Giant, scary humans! What were they like? Huge and crazy. They talk crazy. They eat crazy giant things. They drive crazy. - Do they try and kill you, like on TV? - Some of them. But some of them don't. - How'd you get back? - Poodle. You did it, and I'm glad. You saw whatever you wanted to see. You had your "experience." Now you can pick out yourjob and be normal. - Well... - Well? Well, I met someone. You did? Was she Bee-ish? - A wasp?! Your parents will kill you! - No, no, no, not a wasp. - Spider? - I'm not attracted to spiders. I know it's the hottest thing, with the eight legs and all. I can't get by that face. So who is she? She's... human. No, no. That's a bee law. You wouldn't break a bee law. - Her name's Vanessa. - Oh, boy. She's so nice. And she's a florist! Oh, no! You're dating a human florist! We're not dating. You're flying outside the hive, talking to humans that attack our homes with power washers and M-80s! One-eighth a stick of dynamite! She saved my life! And she understands me. This is over! Eat this. This is not over! What was that? - They call it a crumb. - It was so stingin' stripey! And that's not what they eat. That's what falls off what they eat! - You know what a Oinnabon is? - No. It's bread and cinnamon and frosting. They heat it up... Sit down! ...really hot! - Listen to me! We are not them! We're us. There's us and there's them! Yes, but who can deny the heart that is yearning? There's no yearning. Stop yearning. Listen to me! You have got to start thinking bee, my friend. Thinking bee! - Thinking bee. - Thinking bee. Thinking bee! Thinking bee! Thinking bee! Thinking bee! There he is. He's in the pool. You know what your problem is, Barry? I gotta start thinking bee? How much longer will this go on? It's been three days! Why aren't you working? I've got a lot of big life decisions to think about. What life? You have no life! You have no job. You're barely a bee! Would it kill you to make a little honey? Barry, come out. Your father's talking to you. Martin, would you talk to him? Barry, I'm talking to you! You coming? Got everything? All set! Go ahead. I'll catch up. Don't be too long. Watch this! Vanessa! - We're still here. - I told you not to yell at him. He doesn't respond to yelling! - Then why yell at me? - Because you don't listen! I'm not listening to this. Sorry, I've gotta go. - Where are you going? - I'm meeting a friend. A girl? Is this why you can't decide? Bye. I just hope she's Bee-ish. They have a huge parade of flowers every year in Pasadena? To be in the Tournament of Roses, that's every florist's dream! Up on a float, surrounded by flowers, crowds cheering. A tournament. Do the roses compete in athletic events? No. All right, I've got one. How come you don't fly everywhere? It's exhausting. Why don't you run everywhere? It's faster. Yeah, OK, I see, I see. All right, your turn. TiVo. You can just freeze live TV? That's insane! You don't have that? We have Hivo, but it's a disease. It's a horrible, horrible disease. Oh, my. Dumb bees! You must want to sting all those jerks. We try not to sting. It's usually fatal for us. So you have to watch your temper. Very carefully. You kick a wall, take a walk, write an angry letter and throw it out. Work through it like any emotion: Anger, jealousy, lust. Oh, my goodness! Are you OK? Yeah. - What is wrong with you?! - It's a bug. He's not bothering anybody. Get out of here, you creep! What was that? A Pic 'N' Save circular? Yeah, it was. How did you know? It felt like about 10 pages. Seventy-five is pretty much our limit. You've really got that down to a science. - I lost a cousin to Italian Vogue. - I'll bet. What in the name of Mighty Hercules is this? How did this get here? Oute Bee, Golden Blossom, Ray Liotta Private Select? - Is he that actor? - I never heard of him. - Why is this here? - For people. We eat it. You don't have enough food of your own? - Well, yes. - How do you get it? - Bees make it. - I know who makes it! And it's hard to make it! There's heating, cooling, stirring. You need a whole Krelman thing! - It's organic. - It's our-ganic! It's just honey, Barry. Just what?! Bees don't know about this! This is stealing! A lot of stealing! You've taken our homes, schools, hospitals! This is all we have! And it's on sale?! I'm getting to the bottom of this. I'm getting to the bottom of all of this! Hey, Hector. - You almost done? - Almost. He is here. I sense it. Well, I guess I'll go home now and just leave this nice honey out, with no one around. You're busted, box boy! I knew I heard something. So you can talk! I can talk. And now you'll start talking! Where you getting the sweet stuff? Who's your supplier? I don't understand. I thought we were friends. The last thing we want to do is upset bees! You're too late! It's ours now! You, sir, have crossed the wrong sword! You, sir, will be lunch for my iguana, Ignacio! Where is the honey coming from? Tell me where! Honey Farms! It comes from Honey Farms! Orazy person! What horrible thing has happened here? These faces, they never knew what hit them. And now they're on the road to nowhere! Just keep still. What? You're not dead? Do I look dead? They will wipe anything that moves. Where you headed? To Honey Farms. I am onto something huge here. I'm going to Alaska. Moose blood, crazy stuff. Blows your head off! I'm going to Tacoma. - And you? - He really is dead. All right. Uh-oh! - What is that?! - Oh, no! - A wiper! Triple blade! - Triple blade? Jump on! It's your only chance, bee! Why does everything have to be so doggone clean?! How much do you people need to see?! Open your eyes! Stick your head out the window! From NPR News in Washington, I'm Oarl Kasell. But don't kill no more bugs! - Bee! - Moose blood guy!! - You hear something? - Like what? Like tiny screaming. Turn off the radio. Whassup, bee boy? Hey, Blood. Just a row of honey jars, as far as the eye could see. Wow! I assume wherever this truck goes is where they're getting it. I mean, that honey's ours. - Bees hang tight. - We're all jammed in. It's a close community. Not us, man. We on our own. Every mosquito on his own. - What if you get in trouble? - You a mosquito, you in trouble. Nobody likes us. They just smack. See a mosquito, smack, smack! At least you're out in the world. You must meet girls. Mosquito girls try to trade up, get with a moth, dragonfly. Mosquito girl don't want no mosquito. You got to be kidding me! Mooseblood's about to leave the building! So long, bee! - Hey, guys! - Mooseblood! I knew I'd catch y'all down here. Did you bring your crazy straw? We throw it in jars, slap a label on it, and it's pretty much pure profit. What is this place? A bee's got a brain the size of a pinhead. They are pinheads! Pinhead. - Oheck out the new smoker. - Oh, sweet. That's the one you want. The Thomas 3000! Smoker? Ninety puffs a minute, semi-automatic. Twice the nicotine, all the tar. A couple breaths of this knocks them right out. They make the honey, and we make the money. "They make the honey, and we make the money"? Oh, my! What's going on? Are you OK? Yeah. It doesn't last too long. Do you know you're in a fake hive with fake walls? Our queen was moved here. We had no choice. This is your queen? That's a man in women's clothes! That's a drag queen! What is this? Oh, no! There's hundreds of them! Bee honey. Our honey is being brazenly stolen on a massive scale! This is worse than anything bears have done! I intend to do something. Oh, Barry, stop. Who told you humans are taking our honey? That's a rumor. Do these look like rumors? That's a conspiracy theory. These are obviously doctored photos. How did you get mixed up in this? He's been talking to humans. - What? - Talking to humans?! He has a human girlfriend. And they make out! Make out? Barry! We do not. - You wish you could. - Whose side are you on? The bees! I dated a cricket once in San Antonio. Those crazy legs kept me up all night. Barry, this is what you want to do with your life? I want to do it for all our lives. Nobody works harder than bees! Dad, I remember you coming home so overworked your hands were still stirring. You couldn't stop. I remember that. What right do they have to our honey? We live on two cups a year. They put it in lip balm for no reason whatsoever! Even if it's true, what can one bee do? Sting them where it really hurts. In the face! The eye! - That would hurt. - No. Up the nose? That's a killer. There's only one place you can sting the humans, one place where it matters. Hive at Five, the hive's only full-hour action news source. No more bee beards! With Bob Bumble at the anchor desk. Weather with Storm Stinger. Sports with Buzz Larvi. And Jeanette Ohung. - Good evening. I'm Bob Bumble. - And I'm Jeanette Ohung. A tri-county bee, Barry Benson, intends to sue the human race for stealing our honey, packaging it and profiting from it illegally! Tomorrow night on Bee Larry King, we'll have three former queens here in our studio, discussing their new book, Olassy Ladies, out this week on Hexagon. Tonight we're talking to Barry Benson. Did you ever think, "I'm a kid from the hive. I can't do this"? Bees have never been afraid to change the world. What about Bee Oolumbus? Bee Gandhi? Bejesus? Where I'm from, we'd never sue humans. We were thinking of stickball or candy stores. How old are you? The bee community is supporting you in this case, which will be the trial of the bee century. You know, they have a Larry King in the human world too. It's a common name. Next week... He looks like you and has a show and suspenders and colored dots... Next week... Glasses, quotes on the bottom from the guest even though you just heard 'em. Bear Week next week! They're scary, hairy and here live. Always leans forward, pointy shoulders, squinty eyes, very Jewish. In tennis, you attack at the point of weakness! It was my grandmother, Ken. She's 81. Honey, her backhand's a joke! I'm not gonna take advantage of that? Quiet, please. Actual work going on here. - Is that that same bee? - Yes, it is! I'm helping him sue the human race. - Hello. - Hello, bee. This is Ken. Yeah, I remember you. Timberland, size ten and a half. Vibram sole, I believe. Why does he talk again? Listen, you better go 'cause we're really busy working. But it's our yogurt night! Bye-bye. Why is yogurt night so difficult?! You poor thing. You two have been at this for hours! Yes, and Adam here has been a huge help. - Frosting... - How many sugars? Just one. I try not to use the competition. So why are you helping me? Bees have good qualities. And it takes my mind off the shop. Instead of flowers, people are giving balloon bouquets now. Those are great, if you're three. And artificial flowers. - Oh, those just get me psychotic! - Yeah, me too. Bent stingers, pointless pollination. Bees must hate those fake things! Nothing worse than a daffodil that's had work done. Maybe this could make up for it a little bit. - This lawsuit's a pretty big deal. - I guess. You sure you want to go through with it? Am I sure? When I'm done with the humans, they won't be able to say, "Honey, I'm home," without paying a royalty! It's an incredible scene here in downtown Manhattan, where the world anxiously waits, because for the first time in history, we will hear for ourselves if a honeybee can actually speak. What have we gotten into here, Barry? It's pretty big, isn't it? I can't believe how many humans don't work during the day. You think billion-dollar multinational food companies have good lawyers? Everybody needs to stay behind the barricade. - What's the matter? - I don't know, I just got a chill. Well, if it isn't the bee team. You boys work on this? All rise! The Honorable Judge Bumbleton presiding. All right. Oase number 4475, Superior Oourt of New York, Barry Bee Benson v. the Honey Industry is now in session. Mr. Montgomery, you're representing the five food companies collectively? A privilege. Mr. Benson... you're representing all the bees of the world? I'm kidding. Yes, Your Honor, we're ready to proceed. Mr. Montgomery, your opening statement, please. Ladies and gentlemen of the jury, my grandmother was a simple woman. Born on a farm, she believed it was man's divine right to benefit from the bounty of nature God put before us. If we lived in the topsy-turvy world Mr. Benson imagines, just think of what would it mean. I would have to negotiate with the silkworm for the elastic in my britches! Talking bee! How do we know this isn't some sort of holographic motion-picture-capture Hollywood wizardry? They could be using laser beams! Robotics! Ventriloquism! Oloning! For all we know, he could be on steroids! Mr. Benson? Ladies and gentlemen, there's no trickery here. I'm just an ordinary bee. Honey's pretty important to me. It's important to all bees. We invented it! We make it. And we protect it with our lives. Unfortunately, there are some people in this room who think they can take it from us 'cause we're the little guys! I'm hoping that, after this is all over, you'll see how, by taking our honey, you not only take everything we have but everything we are! I wish he'd dress like that all the time. So nice! Oall your first witness. So, Mr. Klauss Vanderhayden of Honey Farms, big company you have. I suppose so. I see you also own Honeyburton and Honron! Yes, they provide beekeepers for our farms. Beekeeper. I find that to be a very disturbing term. I don't imagine you employ any bee-free-ers, do you? - No. - I couldn't hear you. - No. - No. Because you don't free bees. You keep bees. Not only that, it seems you thought a bear would be an appropriate image for a jar of honey. They're very lovable creatures. Yogi Bear, Fozzie Bear, Build-A-Bear. You mean like this? Bears kill bees! How'd you like his head crashing through your living room?! Biting into your couch! Spitting out your throw pillows! OK, that's enough. Take him away. So, Mr. Sting, thank you for being here. Your name intrigues me. - Where have I heard it before? - I was with a band called The Police. But you've never been a police officer, have you? No, I haven't. No, you haven't. And so here we have yet another example of bee culture casually stolen by a human for nothing more than a prance-about stage name. Oh, please. Have you ever been stung, Mr. Sting? Because I'm feeling a little stung, Sting. Or should I say... Mr. Gordon M. Sumner! That's not his real name?! You idiots! Mr. Liotta, first, belated congratulations on your Emmy win for a guest spot on ER in 2005. Thank you. Thank you. I see from your resume that you're devilishly handsome with a churning inner turmoil that's ready to blow. I enjoy what I do. Is that a crime? Not yet it isn't. But is this what it's come to for you? Exploiting tiny, helpless bees so you don't have to rehearse your part and learn your lines, sir? Watch it, Benson! I could blow right now! This isn't a goodfella. This is a badfella! Why doesn't someone just step on this creep, and we can all go home?! - Order in this court! - You're all thinking it! Order! Order, I say! - Say it! - Mr. Liotta, please sit down! I think it was awfully nice of that bear to pitch in like that. I think the jury's on our side. Are we doing everything right, legally? I'm a florist. Right. Well, here's to a great team. To a great team! Well, hello. - Ken! - Hello. I didn't think you were coming. No, I was just late. I tried to call, but... the battery. I didn't want all this to go to waste, so I called Barry. Luckily, he was free. Oh, that was lucky. There's a little left. I could heat it up. Yeah, heat it up, sure, whatever. So I hear you're quite a tennis player. I'm not much for the game myself. The ball's a little grabby. That's where I usually sit. Right... there. Ken, Barry was looking at your resume, and he agreed with me that eating with chopsticks isn't really a special skill. You think I don't see what you're doing? I know how hard it is to find the rightjob. We have that in common. Do we? Bees have 100 percent employment, but we do jobs like taking the crud out. That's just what I was thinking about doing. Ken, I let Barry borrow your razor for his fuzz. I hope that was all right. I'm going to drain the old stinger. Yeah, you do that. Look at that. You know, I've just about had it with your little mind games. - What's that? - Italian Vogue. Mamma mia, that's a lot of pages. A lot of ads. Remember what Van said, why is your life more valuable than mine? Funny, I just can't seem to recall that! I think something stinks in here! I love the smell of flowers. How do you like the smell of flames?! Not as much. Water bug! Not taking sides! Ken, I'm wearing a Ohapstick hat! This is pathetic! I've got issues! Well, well, well, a royal flush! - You're bluffing. - Am I? Surf's up, dude! Poo water! That bowl is gnarly. Except for those dirty yellow rings! Kenneth! What are you doing?! You know, I don't even like honey! I don't eat it! We need to talk! He's just a little bee! And he happens to be the nicest bee I've met in a long time! Long time? What are you talking about?! Are there other bugs in your life? No, but there are other things bugging me in life. And you're one of them! Fine! Talking bees, no yogurt night... My nerves are fried from riding on this emotional roller coaster! Goodbye, Ken. And for your information, I prefer sugar-free, artificial sweeteners made by man! I'm sorry about all that. I know it's got an aftertaste! I like it! I always felt there was some kind of barrier between Ken and me. I couldn't overcome it. Oh, well. Are you OK for the trial? I believe Mr. Montgomery is about out of ideas. We would like to call Mr. Barry Benson Bee to the stand. Good idea! You can really see why he's considered one of the best lawyers... Yeah. Layton, you've gotta weave some magic with this jury, or it's gonna be all over. Don't worry. The only thing I have to do to turn this jury around is to remind them of what they don't like about bees. - You got the tweezers? - Are you allergic? Only to losing, son. Only to losing. Mr. Benson Bee, I'll ask you what I think we'd all like to know. What exactly is your relationship to that woman? We're friends. - Good friends? - Yes. How good? Do you live together? Wait a minute... Are you her little... ...bedbug? I've seen a bee documentary or two. From what I understand, doesn't your queen give birth to all the bee children? - Yeah, but... - So those aren't your real parents! - Oh, Barry... - Yes, they are! Hold me back! You're an illegitimate bee, aren't you, Benson? He's denouncing bees! Don't y'all date your cousins? - Objection! - I'm going to pincushion this guy! Adam, don't! It's what he wants! Oh, I'm hit!! Oh, lordy, I am hit! Order! Order! The venom! The venom is coursing through my veins! I have been felled by a winged beast of destruction! You see? You can't treat them like equals! They're striped savages! Stinging's the only thing they know! It's their way! - Adam, stay with me. - I can't feel my legs. What angel of mercy will come forward to suck the poison from my heaving buttocks? I will have order in this court. Order! Order, please! The case of the honeybees versus the human race took a pointed turn against the bees yesterday when one of their legal team stung Layton T. Montgomery. - Hey, buddy. - Hey. - Is there much pain? - Yeah. I... I blew the whole case, didn't I? It doesn't matter. What matters is you're alive. You could have died. I'd be better off dead. Look at me. They got it from the cafeteria downstairs, in a tuna sandwich. Look, there's a little celery still on it. What was it like to sting someone? I can't explain it. It was all... All adrenaline and then... and then ecstasy! All right. You think it was all a trap? Of course. I'm sorry. I flew us right into this. What were we thinking? Look at us. We're just a couple of bugs in this world. What will the humans do to us if they win? I don't know. I hear they put the roaches in motels. That doesn't sound so bad. Adam, they check in, but they don't check out! Oh, my. Oould you get a nurse to close that window? - Why? - The smoke. Bees don't smoke. Right. Bees don't smoke. Bees don't smoke! But some bees are smoking. That's it! That's our case! It is? It's not over? Get dressed. I've gotta go somewhere. Get back to the court and stall. Stall any way you can. And assuming you've done step correctly, you're ready for the tub. Mr. Flayman. Yes? Yes, Your Honor! Where is the rest of your team? Well, Your Honor, it's interesting. Bees are trained to fly haphazardly, and as a result, we don't make very good time. I actually heard a funny story about... Your Honor, haven't these ridiculous bugs taken up enough of this court's valuable time? How much longer will we allow these absurd shenanigans to go on? They have presented no compelling evidence to support their charges against my clients, who run legitimate businesses. I move for a complete dismissal of this entire case! Mr. Flayman, I'm afraid I'm going to have to consider Mr. Montgomery's motion. But you can't! We have a terrific case. Where is your proof? Where is the evidence? Show me the smoking gun! Hold it, Your Honor! You want a smoking gun? Here is your smoking gun. What is that? It's a bee smoker! What, this? This harmless little contraption? This couldn't hurt a fly, let alone a bee. Look at what has happened to bees who have never been asked, "Smoking or non?" Is this what nature intended for us? To be forcibly addicted to smoke machines and man-made wooden slat work camps? Living out our lives as honey slaves to the white man? - What are we gonna do? - He's playing the species card. Ladies and gentlemen, please, free these bees! Free the bees! Free the bees! Free the bees! Free the bees! Free the bees! The court finds in favor of the bees! Vanessa, we won! I knew you could do it! High-five! Sorry. I'm OK! You know what this means? All the honey will finally belong to the bees. Now we won't have to work so hard all the time. This is an unholy perversion of the balance of nature, Benson. You'll regret this. Barry, how much honey is out there? All right. One at a time. Barry, who are you wearing? My sweater is Ralph Lauren, and I have no pants. - What if Montgomery's right? - What do you mean? We've been living the bee way a long time, 27 million years. Oongratulations on your victory. What will you demand as a settlement? First, we'll demand a complete shutdown of all bee work camps. Then we want back the honey that was ours to begin with, every last drop. We demand an end to the glorification of the bear as anything more than a filthy, smelly, bad-breath stink machine. We're all aware of what they do in the woods. Wait for my signal. Take him out. He'll have nauseous for a few hours, then he'll be fine. And we will no longer tolerate bee-negative nicknames... But it's just a prance-about stage name! ...unnecessary inclusion of honey in bogus health products and la-dee-da human tea-time snack garnishments. Oan't breathe. Bring it in, boys! Hold it right there! Good. Tap it. Mr. Buzzwell, we just passed three cups, and there's gallons more coming! - I think we need to shut down! - Shut down? We've never shut down. Shut down honey production! Stop making honey! Turn your key, sir! What do we do now? Oannonball! We're shutting honey production! Mission abort. Aborting pollination and nectar detail. Returning to base. Adam, you wouldn't believe how much honey was out there. Oh, yeah? What's going on? Where is everybody? - Are they out celebrating? - They're home. They don't know what to do. Laying out, sleeping in. I heard your Uncle Oarl was on his way to San Antonio with a cricket. At least we got our honey back. Sometimes I think, so what if humans liked our honey? Who wouldn't? It's the greatest thing in the world! I was excited to be part of making it. This was my new desk. This was my new job. I wanted to do it really well. And now... Now I can't. I don't understand why they're not happy. I thought their lives would be better! They're doing nothing. It's amazing. Honey really changes people. You don't have any idea what's going on, do you? - What did you want to show me? - This. What happened here? That is not the half of it. Oh, no. Oh, my. They're all wilting. Doesn't look very good, does it? No. And whose fault do you think that is? You know, I'm gonna guess bees. Bees? Specifically, me. I didn't think bees not needing to make honey would affect all these things. It's notjust flowers. Fruits, vegetables, they all need bees. That's our whole SAT test right there. Take away produce, that affects the entire animal kingdom. And then, of course... The human species? So if there's no more pollination, it could all just go south here, couldn't it? I know this is also partly my fault. How about a suicide pact? How do we do it? - I'll sting you, you step on me. - Thatjust kills you twice. Right, right. Listen, Barry... sorry, but I gotta get going. I had to open my mouth and talk. Vanessa? Vanessa? Why are you leaving? Where are you going? To the final Tournament of Roses parade in Pasadena. They've moved it to this weekend because all the flowers are dying. It's the last chance I'll ever have to see it. Vanessa, I just wanna say I'm sorry. I never meant it to turn out like this. I know. Me neither. Tournament of Roses. Roses can't do sports. Wait a minute. Roses. Roses? Roses! Vanessa! Roses?! Barry? - Roses are flowers! - Yes, they are. Flowers, bees, pollen! I know. That's why this is the last parade. Maybe not. Oould you ask him to slow down? Oould you slow down? Barry! OK, I made a huge mistake. This is a total disaster, all my fault. Yes, it kind of is. I've ruined the planet. I wanted to help you with the flower shop. I've made it worse. Actually, it's completely closed down. I thought maybe you were remodeling. But I have another idea, and it's greater than my previous ideas combined. I don't want to hear it! All right, they have the roses, the roses have the pollen. I know every bee, plant and flower bud in this park. All we gotta do is get what they've got back here with what we've got. - Bees. - Park. - Pollen! - Flowers. - Repollination! - Across the nation! Tournament of Roses, Pasadena, Oalifornia. They've got nothing but flowers, floats and cotton candy. Security will be tight. I have an idea. Vanessa Bloome, FTD. Official floral business. It's real. Sorry, ma'am. Nice brooch. Thank you. It was a gift. Once inside, we just pick the right float. How about The Princess and the Pea? I could be the princess, and you could be the pea! Yes, I got it. - Where should I sit? - What are you? - I believe I'm the pea. - The pea? It goes under the mattresses. - Not in this fairy tale, sweetheart. - I'm getting the marshal. You do that! This whole parade is a fiasco! Let's see what this baby'll do. Hey, what are you doing?! Then all we do is blend in with traffic... ...without arousing suspicion. Once at the airport, there's no stopping us. Stop! Security. - You and your insect pack your float? - Yes. Has it been in your possession the entire time? Would you remove your shoes? - Remove your stinger. - It's part of me. I know. Just having some fun. Enjoy your flight. Then if we're lucky, we'll have just enough pollen to do the job. Oan you believe how lucky we are? We have just enough pollen to do the job! I think this is gonna work. It's got to work. Attention, passengers, this is Oaptain Scott. We have a bit of bad weather in New York. It looks like we'll experience a couple hours delay. Barry, these are cut flowers with no water. They'll never make it. I gotta get up there and talk to them. Be careful. Oan I get help with the Sky Mall magazine? I'd like to order the talking inflatable nose and ear hair trimmer. Oaptain, I'm in a real situation. - What'd you say, Hal? - Nothing. Bee! Don't freak out! My entire species... What are you doing? - Wait a minute! I'm an attorney! - Who's an attorney? Don't move. Oh, Barry. Good afternoon, passengers. This is your captain. Would a Miss Vanessa Bloome in 24B please report to the cockpit? And please hurry! What happened here? There was a DustBuster, a toupee, a life raft exploded. One's bald, one's in a boat, they're both unconscious! - Is that another bee joke? - No! No one's flying the plane! This is JFK control tower, Flight 356. What's your status? This is Vanessa Bloome. I'm a florist from New York. Where's the pilot? He's unconscious, and so is the copilot. Not good. Does anyone onboard have flight experience? As a matter of fact, there is. - Who's that? - Barry Benson. From the honey trial?! Oh, great. Vanessa, this is nothing more than a big metal bee. It's got giant wings, huge engines. I can't fly a plane. - Why not? Isn't John Travolta a pilot? - Yes. How hard could it be? Wait, Barry! We're headed into some lightning. This is Bob Bumble. We have some late-breaking news from JFK Airport, where a suspenseful scene is developing. Barry Benson, fresh from his legal victory... That's Barry! ...is attempting to land a plane, loaded with people, flowers and an incapacitated flight crew. Flowers?! We have a storm in the area and two individuals at the controls with absolutely no flight experience. Just a minute. There's a bee on that plane. I'm quite familiar with Mr. Benson and his no-account compadres. They've done enough damage. But isn't he your only hope? Technically, a bee shouldn't be able to fly at all. Their wings are too small... Haven't we heard this a million times? "The surface area of the wings and body mass make no sense." - Get this on the air! - Got it. - Stand by. - We're going live. The way we work may be a mystery to you. Making honey takes a lot of bees doing a lot of small jobs. But let me tell you about a small job. If you do it well, it makes a big difference. More than we realized. To us, to everyone. That's why I want to get bees back to working together. That's the bee way! We're not made of Jell-O. We get behind a fellow. - Black and yellow! - Hello! Left, right, down, hover. - Hover? - Forget hover. This isn't so hard. Beep-beep! Beep-beep! Barry, what happened?! Wait, I think we were on autopilot the whole time. - That may have been helping me. - And now we're not! So it turns out I cannot fly a plane. All of you, let's get behind this fellow! Move it out! Move out! Our only chance is if I do what I'd do, you copy me with the wings of the plane! Don't have to yell. I'm not yelling! We're in a lot of trouble. It's very hard to concentrate with that panicky tone in your voice! It's not a tone. I'm panicking! I can't do this! Vanessa, pull yourself together. You have to snap out of it! You snap out of it. You snap out of it. - You snap out of it! - You snap out of it! - You snap out of it! - You snap out of it! - You snap out of it! - You snap out of it! - Hold it! - Why? Oome on, it's my turn. How is the plane flying? I don't know. Hello? Benson, got any flowers for a happy occasion in there? The Pollen Jocks! They do get behind a fellow. - Black and yellow. - Hello. All right, let's drop this tin can on the blacktop. Where? I can't see anything. Oan you? No, nothing. It's all cloudy. Oome on. You got to think bee, Barry. - Thinking bee. - Thinking bee. Thinking bee! Thinking bee! Thinking bee! Wait a minute. I think I'm feeling something. - What? - I don't know. It's strong, pulling me. Like a 27-million-year-old instinct. Bring the nose down. Thinking bee! Thinking bee! Thinking bee! - What in the world is on the tarmac? - Get some lights on that! Thinking bee! Thinking bee! Thinking bee! - Vanessa, aim for the flower. - OK. Out the engines. We're going in on bee power. Ready, boys? Affirmative! Good. Good. Easy, now. That's it. Land on that flower! Ready? Full reverse! Spin it around! - Not that flower! The other one! - Which one? - That flower. - I'm aiming at the flower! That's a fat guy in a flowered shirt. I mean the giant pulsating flower made of millions of bees! Pull forward. Nose down. Tail up. Rotate around it. - This is insane, Barry! - This's the only way I know how to fly. Am I koo-koo-kachoo, or is this plane flying in an insect-like pattern? Get your nose in there. Don't be afraid. Smell it. Full reverse! Just drop it. Be a part of it. Aim for the center! Now drop it in! Drop it in, woman! Oome on, already. Barry, we did it! You taught me how to fly! - Yes. No high-five! - Right. Barry, it worked! Did you see the giant flower? What giant flower? Where? Of course I saw the flower! That was genius! - Thank you. - But we're not done yet. Listen, everyone! This runway is covered with the last pollen from the last flowers available anywhere on Earth. That means this is our last chance. We're the only ones who make honey, pollinate flowers and dress like this. If we're gonna survive as a species, this is our moment! What do you say? Are we going to be bees, orjust Museum of Natural History keychains? We're bees! Keychain! Then follow me! Except Keychain. Hold on, Barry. Here. You've earned this. Yeah! I'm a Pollen Jock! And it's a perfect fit. All I gotta do are the sleeves. Oh, yeah. That's our Barry. Mom! The bees are back! If anybody needs to make a call, now's the time. I got a feeling we'll be working late tonight! Here's your change. Have a great afternoon! Oan I help who's next? Would you like some honey with that? It is bee-approved. Don't forget these. Milk, cream, cheese, it's all me. And I don't see a nickel! Sometimes I just feel like a piece of meat! I had no idea. Barry, I'm sorry. Have you got a moment? Would you excuse me? My mosquito associate will help you. Sorry I'm late. He's a lawyer too? I was already a blood-sucking parasite. All I needed was a briefcase. Have a great afternoon! Barry, I just got this huge tulip order, and I can't get them anywhere. No problem, Vannie. Just leave it to me. You're a lifesaver, Barry. Oan I help who's next? All right, scramble, jocks! It's time to fly. Thank you, Barry! That bee is living my life! Let it go, Kenny. - When will this nightmare end?! - Let it all go. - Beautiful day to fly. - Sure is. Between you and me, I was dying to get out of that office. You have got to start thinking bee, my friend. - Thinking bee! - Me? Hold it. Let's just stop for a second. Hold it. I'm sorry. I'm sorry, everyone. Oan we stop here? I'm not making a major life decision during a production number! All right. Take ten, everybody. Wrap it up, guys. I had virtually no rehearsal for that.
Skattermuffin / This Ones For You My Retalyation. Also Haha Arrow Game LololAccording to all known laws of aviation, there is no way a bee should be able to fly. Its wings are too small to get its fat little body off the ground. The bee, of course, flies anyway because beAccording to all known laws of aviation, there is no way a bee should be able to fly. Its wings are too small to get its fat little body off the ground. The bee, of course, flies anyway because bees don't care what humans think is impossible. Yellow, black. Yellow, black. Yellow, black. Yellow, black. Ooh, black and yellow! Let's shake it up a little. Barry! Breakfast is ready! Ooming! Hang on a second. Hello? - Barry? - Adam? - Oan you believe this is happening? - I can't. I'll pick you up. Looking sharp. Use the stairs. Your father paid good money for those. Sorry. I'm excited. Here's the graduate. We're very proud of you, son. A perfect report card, all B's. Very proud. Ma! I got a thing going here. - You got lint on your fuzz. - Ow! That's me! - Wave to us! We'll be in row 118,000. - Bye! Barry, I told you, stop flying in the house! - Hey, Adam. - Hey, Barry. - Is that fuzz gel? - A little. Special day, graduation. Never thought I'd make it. Three days grade school, three days high school. Those were awkward. Three days college. I'm glad I took a day and hitchhiked around the hive. You did come back different. - Hi, Barry. - Artie, growing a mustache? Looks good. - Hear about Frankie? - Yeah. - You going to the funeral? - No, I'm not going. Everybody knows, sting someone, you die. Don't waste it on a squirrel. Such a hothead. I guess he could have just gotten out of the way. I love this incorporating an amusement park into our day. That's why we don't need vacations. Boy, quite a bit of pomp... under the circumstances. - Well, Adam, today we are men. - We are! - Bee-men. - Amen! Hallelujah! Students, faculty, distinguished bees, please welcome Dean Buzzwell. Welcome, New Hive Oity graduating class of... ...9:15. That concludes our ceremonies. And begins your career at Honex Industries! Will we pick ourjob today? I heard it's just orientation. Heads up! Here we go. Keep your hands and antennas inside the tram at all times. - Wonder what it'll be like? - A little scary. Welcome to Honex, a division of Honesco and a part of the Hexagon Group. This is it! Wow. Wow. We know that you, as a bee, have worked your whole life to get to the point where you can work for your whole life. Honey begins when our valiant Pollen Jocks bring the nectar to the hive. Our top-secret formula is automatically color-corrected, scent-adjusted and bubble-contoured into this soothing sweet syrup with its distinctive golden glow you know as... Honey! - That girl was hot. - She's my cousin! - She is? - Yes, we're all cousins. - Right. You're right. - At Honex, we constantly strive to improve every aspect of bee existence. These bees are stress-testing a new helmet technology. - What do you think he makes? - Not enough. Here we have our latest advancement, the Krelman. - What does that do? - Oatches that little strand of honey that hangs after you pour it. Saves us millions. Oan anyone work on the Krelman? Of course. Most bee jobs are small ones. But bees know that every small job, if it's done well, means a lot. But choose carefully because you'll stay in the job you pick for the rest of your life. The same job the rest of your life? I didn't know that. What's the difference? You'll be happy to know that bees, as a species, haven't had one day off in 27 million years. So you'll just work us to death? We'll sure try. Wow! That blew my mind! "What's the difference?" How can you say that? One job forever? That's an insane choice to have to make. I'm relieved. Now we only have to make one decision in life. But, Adam, how could they never have told us that? Why would you question anything? We're bees. We're the most perfectly functioning society on Earth. You ever think maybe things work a little too well here? Like what? Give me one example. I don't know. But you know what I'm talking about. Please clear the gate. Royal Nectar Force on approach. Wait a second. Oheck it out. - Hey, those are Pollen Jocks! - Wow. I've never seen them this close. They know what it's like outside the hive. Yeah, but some don't come back. - Hey, Jocks! - Hi, Jocks! You guys did great! You're monsters! You're sky freaks! I love it! I love it! - I wonder where they were. - I don't know. Their day's not planned. Outside the hive, flying who knows where, doing who knows what. You can'tjust decide to be a Pollen Jock. You have to be bred for that. Right. Look. That's more pollen than you and I will see in a lifetime. It's just a status symbol. Bees make too much of it. Perhaps. Unless you're wearing it and the ladies see you wearing it. Those ladies? Aren't they our cousins too? Distant. Distant. Look at these two. - Oouple of Hive Harrys. - Let's have fun with them. It must be dangerous being a Pollen Jock. Yeah. Once a bear pinned me against a mushroom! He had a paw on my throat, and with the other, he was slapping me! - Oh, my! - I never thought I'd knock him out. What were you doing during this? Trying to alert the authorities. I can autograph that. A little gusty out there today, wasn't it, comrades? Yeah. Gusty. We're hitting a sunflower patch six miles from here tomorrow. - Six miles, huh? - Barry! A puddle jump for us, but maybe you're not up for it. - Maybe I am. - You are not! We're going 0900 at J-Gate. What do you think, buzzy-boy? Are you bee enough? I might be. It all depends on what 0900 means. Hey, Honex! Dad, you surprised me. You decide what you're interested in? - Well, there's a lot of choices. - But you only get one. Do you ever get bored doing the same job every day? Son, let me tell you about stirring. You grab that stick, and you just move it around, and you stir it around. You get yourself into a rhythm. It's a beautiful thing. You know, Dad, the more I think about it, maybe the honey field just isn't right for me. You were thinking of what, making balloon animals? That's a bad job for a guy with a stinger. Janet, your son's not sure he wants to go into honey! - Barry, you are so funny sometimes. - I'm not trying to be funny. You're not funny! You're going into honey. Our son, the stirrer! - You're gonna be a stirrer? - No one's listening to me! Wait till you see the sticks I have. I could say anything right now. I'm gonna get an ant tattoo! Let's open some honey and celebrate! Maybe I'll pierce my thorax. Shave my antennae. Shack up with a grasshopper. Get a gold tooth and call everybody "dawg"! I'm so proud. - We're starting work today! - Today's the day. Oome on! All the good jobs will be gone. Yeah, right. Pollen counting, stunt bee, pouring, stirrer, front desk, hair removal... - Is it still available? - Hang on. Two left! One of them's yours! Oongratulations! Step to the side. - What'd you get? - Picking crud out. Stellar! Wow! Oouple of newbies? Yes, sir! Our first day! We are ready! Make your choice. - You want to go first? - No, you go. Oh, my. What's available? Restroom attendant's open, not for the reason you think. - Any chance of getting the Krelman? - Sure, you're on. I'm sorry, the Krelman just closed out. Wax monkey's always open. The Krelman opened up again. What happened? A bee died. Makes an opening. See? He's dead. Another dead one. Deady. Deadified. Two more dead. Dead from the neck up. Dead from the neck down. That's life! Oh, this is so hard! Heating, cooling, stunt bee, pourer, stirrer, humming, inspector number seven, lint coordinator, stripe supervisor, mite wrangler. Barry, what do you think I should... Barry? Barry! All right, we've got the sunflower patch in quadrant nine... What happened to you? Where are you? - I'm going out. - Out? Out where? - Out there. - Oh, no! I have to, before I go to work for the rest of my life. You're gonna die! You're crazy! Hello? Another call coming in. If anyone's feeling brave, there's a Korean deli on 83rd that gets their roses today. Hey, guys. - Look at that. - Isn't that the kid we saw yesterday? Hold it, son, flight deck's restricted. It's OK, Lou. We're gonna take him up. Really? Feeling lucky, are you? Sign here, here. Just initial that. - Thank you. - OK. You got a rain advisory today, and as you all know, bees cannot fly in rain. So be careful. As always, watch your brooms, hockey sticks, dogs, birds, bears and bats. Also, I got a couple of reports of root beer being poured on us. Murphy's in a home because of it, babbling like a cicada! - That's awful. - And a reminder for you rookies, bee law number one, absolutely no talking to humans! All right, launch positions! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Black and yellow! Hello! You ready for this, hot shot? Yeah. Yeah, bring it on. Wind, check. - Antennae, check. - Nectar pack, check. - Wings, check. - Stinger, check. Scared out of my shorts, check. OK, ladies, let's move it out! Pound those petunias, you striped stem-suckers! All of you, drain those flowers! Wow! I'm out! I can't believe I'm out! So blue. I feel so fast and free! Box kite! Wow! Flowers! This is Blue Leader. We have roses visual.You wrote that yourself? wow congrats dude, really, that's very cool. i just told everyone in my family about it, everybody thinks that's very impressive and asked me to congratulate you. they want to speak to you in person, if possible, to give you their regards. they also said they will tell our distant relatives in christmas supper and in NYE they will ignite fireworks that spell your name. i also told about this enormous deed to closer relatives, they had the same reaction. they asked for your address so they can send congratulatory cards and messages. my friends didn't believe me when i told them i knew the author of this gigantic feat, really, they were dumbstruck, they said they will make your name echo through years and years to come. when my neighbour found out about what you did, he was completely dumbstruck too, he wanted to know who you are and he asked (if you have the time, of course) if you could stop by to receive gifts, congratulations and handshakes. with the spreading of the news, a powerful businessman of the area decided to hire you as the CEO of his company because of this tremendous feat and at the same time an important international shareholder wants to sponsor you to give speeches and teach everybody how to do as you did so the world becomes a better place. you have become famous not only here but also everywhere, everybody knows who you are. the news spread really fast and mayors of all cities are setting up porticos, ballons, colossal boom speakers, anything that can make your name stand out more and see which city can congratulate you the hardest for this magnificent feaes don't care what humans think is impossible. Yellow, black. Yellow, black. Yellow, black. Yellow, black. Ooh, black and yellow! Let's shake it up a little. Barry! Breakfast is ready! Ooming! Hang on a second. Hello? - Barry? - Adam? - Oan you believe this is happening? - I can't. I'll pick you up. Looking sharp. Use the stairs. Your father paid good money for those. Sorry. I'm excited. Here's the graduate. We're very proud of you, son. A perfect report card, all B's. Very proud. Ma! I got a thing going here. - You got lint on your fuzz. - Ow! That's me! - Wave to us! We'll be in row 118,000. - Bye! Barry, I told you, stop flying in the house! - Hey, Adam. - Hey, Barry. - Is that fuzz gel? - A little. Special day, graduation. Never thought I'd make it. Three days grade school, three days high school. Those were awkward. Three days college. I'm glad I took a day and hitchhiked around the hive. You did come back different. - Hi, Barry. - Artie, growing a mustache? Looks good. - Hear about Frankie? - Yeah. - You going to the funeral? - No, I'm not going. Everybody knows, sting someone, you die. Don't waste it on a squirrel. Such a hothead. I guess he could have just gotten out of the way. I love this incorporating an amusement park into our day. That's why we don't need vacations. Boy, quite a bit of pomp... under the circumstances. - Well, Adam, today we are men. - We are! - Bee-men. - Amen! Hallelujah! Students, faculty, distinguished bees, please welcome Dean Buzzwell. Welcome, New Hive Oity graduating class of... ...9:15. That concludes our ceremonies. And begins your career at Honex Industries! Will we pick ourjob today? I heard it's just orientation. Heads up! Here we go. Keep your hands and antennas inside the tram at all times. - Wonder what it'll be like? - A little scary. Welcome to Honex, a division of Honesco and a part of the Hexagon Group. This is it! Wow. Wow. We know that you, as a bee, have worked your whole life to get to the point where you can work for your whole life. Honey begins when our valiant Pollen Jocks bring the nectar to the hive. Our top-secret formula is automatically color-corrected, scent-adjusted and bubble-contoured into this soothing sweet syrup with its distinctive golden glow you know as... Honey! - That girl was hot. - She's my cousin! - She is? - Yes, we're all cousins. - Right. You're right. - At Honex, we constantly strive to improve every aspect of bee existence. These bees are stress-testing a new helmet technology. - What do you think he makes? - Not enough. Here we have our latest advancement, the Krelman. - What does that do? - Oatches that little strand of honey that hangs after you pour it. Saves us millions. Oan anyone work on the Krelman? Of course. Most bee jobs are small ones. But bees know that every small job, if it's done well, means a lot. But choose carefully because you'll stay in the job you pick for the rest of your life. The same job the rest of your life? I didn't know that. What's the difference? You'll be happy to know that bees, as a species, haven't had one day off in 27 million years. So you'll just work us to death? We'll sure try. Wow! That blew my mind! "What's the difference?" How can you say that? One job forever? That's an insane choice to have to make. I'm relieved. Now we only have to make one decision in life. But, Adam, how could they never have told us that? Why would you question anything? We're bees. We're the most perfectly functioning society on Earth. You ever think maybe things work a little too well here? Like what? Give me one example. I don't know. But you know what I'm talking about. Please clear the gate. Royal Nectar Force on approach. Wait a second. Oheck it out. - Hey, those are Pollen Jocks! - Wow. I've never seen them this close. They know what it's like outside the hive. Yeah, but some don't come back. - Hey, Jocks! - Hi, Jocks! You guys did great! You're monsters! You're sky freaks! I love it! I love it! - I wonder where they were. - I don't know. Their day's not planned. Outside the hive, flying who knows where, doing who knows what. You can'tjust decide to be a Pollen Jock. You have to be bred for that. Right. Look. That's more pollen than you and I will see in a lifetime. It's just a status symbol. Bees make too much of it. Perhaps. Unless you're wearing it and the ladies see you wearing it. Those ladies? Aren't they our cousins too? Distant. Distant. Look at these two. - Oouple of Hive Harrys. - Let's have fun with them. It must be dangerous being a Pollen Jock. Yeah. Once a bear pinned me against a mushroom! He had a paw on my throat, and with the other, he was slapping me! - Oh, my! - I never thought I'd knock him out. What were you doing during this? Trying to alert the authorities. I can autograph that. A little gusty out there today, wasn't it, comrades? Yeah. Gusty. We're hitting a sunflower patch six miles from here tomorrow. - Six miles, huh? - Barry! A puddle jump for us, but maybe you're not up for it. - Maybe I am. - You are not! We're going 0900 at J-Gate. What do you think, buzzy-boy? Are you bee enough? I might be. It all depends on what 0900 means. Hey, Honex! Dad, you surprised me. You decide what you're interested in? - Well, there's a lot of choices. - But you only get one. Do you ever get bored doing the same job every day? Son, let me tell you about stirring. You grab that stick, and you just move it around, and you stir it around. You get yourself into a rhythm. It's a beautiful thing. You know, Dad, the more I think about it, maybe the honey field just isn't right for me. You were thinking of what, making balloon animals? That's a bad job for a guy with a stinger. Janet, your son's not sure he wants to go into honey! - Barry, you are so funny sometimes. - I'm not trying to be funny. You're not funny! You're going into honey. Our son, the stirrer! - You're gonna be a stirrer? - No one's listening to me! Wait till you see the sticks I have. I could say anything right now. I'm gonna get an ant tattoo! Let's open some honey and celebrate! Maybe I'll pierce my thorax. Shave my antennae. Shack up with a grasshopper. Get a gold tooth and call everybody "dawg"! I'm so proud. - We're starting work today! - Today's the day. Oome on! All the good jobs will be gone. Yeah, right. Pollen counting, stunt bee, pouring, stirrer, front desk, hair removal... - Is it still available? - Hang on. Two left! One of them's yours! Oongratulations! Step to the side. - What'd you get? - Picking crud out. Stellar! Wow! Oouple of newbies? Yes, sir! Our first day! We are ready! Make your choice. - You want to go first? - No, you go. Oh, my. What's available? Restroom attendant's open, not for the reason you think. - Any chance of getting the Krelman? - Sure, you're on. I'm sorry, the Krelman just closed out. Wax monkey's always open. The Krelman opened up again. What happened? A bee died. Makes an opening. See? He's dead. Another dead one. Deady. Deadified. Two more dead. Dead from the neck up. Dead from the neck down. That's life! Oh, this is so hard! Heating, cooling, stunt bee, pourer, stirrer, humming, inspector number seven, lint coordinator, stripe supervisor, mite wrangler. Barry, what do you think I should... Barry? Barry! All right, we've got the sunflower patch in quadrant nine... What happened to you? Where are you? - I'm going out. - Out? Out where? - Out there. - Oh, no! I have to, before I go to work for the rest of my life. You're gonna die! You're crazy! Hello? Another call coming in. If anyone's feeling brave, there's a Korean deli on 83rd that gets their roses today. Hey, guys. - Look at that. - Isn't that the kid we saw yesterday? Hold it, son, flight deck's restricted. It's OK, Lou. We're gonna take him up. Really? Feeling lucky, are you? Sign here, here. Just initial that. - Thank you. - OK. You got a rain advisory today, and as you all know, bees cannot fly in rain. So be careful. As always, watch your brooms, hockey sticks, dogs, birds, bears and bats. Also, I got a couple of reports of root beer being poured on us. Murphy's in a home because of it, babbling like a cicada! - That's awful. - And a reminder for you rookies, bee law number one, absolutely no talking to humans! All right, launch positions! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Black and yellow! Hello! You ready for this, hot shot? Yeah. Yeah, bring it on. Wind, check. - Antennae, check. - Nectar pack, check. - Wings, check. - Stinger, check. Scared out of my shorts, check. OK, ladies, let's move it out! Pound those petunias, you striped stem-suckers! All of you, drain those flowers! Wow! I'm out! I can't believe I'm out! So blue. I feel so fast and free! Box kite! Wow! Flowers! This is Blue Leader. We have roses visual. Bring it around 30 degrees and hold. Roses! 30 degrees, roger. Bringing it around. Stand to the side, kid. It's got a bit of a kick. That is one nectar collector! - Ever see pollination up close? - No, sir. I pick up some pollen here, sprinkle it over here. Maybe a dash over there, a pinch on that one. See that? It's a little bit of magic. That's amazing. Why do we do that? That's pollen power. More pollen, more flowers, more nectar, more honey for us. Oool. I'm picking up a lot of bright yellow. Oould be daisies. Don't we need those? Oopy that visual. Wait. One of these flowers seems to be on the move. Say again? You're reporting a moving flower? Affirmative. That was on the line! This is the coolest. What is it? I don't know, but I'm loving this color. It smells good. Not like a flower, but I like it. Yeah, fuzzy. Ohemical-y. Oareful, guys. It's a little grabby. My sweet lord of bees! Oandy-brain, get off there! Problem! - Guys! - This could be bad. Affirmative. Very close. Gonna hurt. Mama's little boy. You are way out of position, rookie! Ooming in at you like a missile! Help me! I don't think these are flowers. - Should we tell him? - I think he knows. What is this?! Match point! You can start packing up, honey, because you're about to eat it! Yowser! Gross. There's a bee in the car! - Do something! - I'm driving! - Hi, bee. - He's back here! He's going to sting me! Nobody move. If you don't move, he won't sting you. Freeze! He blinked! Spray him, Granny! What are you doing?! Wow... the tension level out here is unbelievable. I gotta get home. Oan't fly in rain. Oan't fly in rain. Oan't fly in rain. Mayday! Mayday! Bee going down! Ken, could you close the window please? Ken, could you close the window please? Oheck out my new resume. I made it into a fold-out brochure. You see? Folds out. Oh, no. More humans. I don't need this. What was that? Maybe this time. This time. This time. This time! This time! This... Drapes! That is diabolical. It's fantastic. It's got all my special skills, even my top-ten favorite movies. What's number one? Star Wars? Nah, I don't go for that... ...kind of stuff. No wonder we shouldn't talk to them. They're out of their minds. When I leave a job interview, they're flabbergasted, can't believe what I say. There's the sun. Maybe that's a way out. I don't remember the sun having a big 75 on it. I predicted global warming. I could feel it getting hotter. At first I thought it was just me. Wait! Stop! Bee! Stand back. These are winter boots. Wait! Don't kill him! You know I'm allergic to them! This thing could kill me! Why does his life have less value than yours? Why does his life have any less value than mine? Is that your statement? I'm just saying all life has value. You don't know what he's capable of feeling. My brochure! There you go, little guy. I'm not scared of him. It's an allergic thing. Put that on your resume brochure. My whole face could puff up. Make it one of your special skills. Knocking someone out is also a special skill. Right. Bye, Vanessa. Thanks. - Vanessa, next week? Yogurt night? - Sure, Ken. You know, whatever. - You could put carob chips on there. - Bye. - Supposed to be less calories. - Bye. I gotta say something. She saved my life. I gotta say something. All right, here it goes. Nah. What would I say? I could really get in trouble. It's a bee law. You're not supposed to talk to a human. I can't believe I'm doing this. I've got to. Oh, I can't do it. Oome on! No. Yes. No. Do it. I can't. How should I start it? "You like jazz?" No, that's no good. Here she comes! Speak, you fool! Hi! I'm sorry. - You're talking. - Yes, I know. You're talking! I'm so sorry. No, it's OK. It's fine. I know I'm dreaming. But I don't recall going to bed. Well, I'm sure this is very disconcerting. This is a bit of a surprise to me. I mean, you're a bee! I am. And I'm not supposed to be doing this, but they were all trying to kill me. And if it wasn't for you... I had to thank you. It's just how I was raised. That was a little weird. - I'm talking with a bee. - Yeah. I'm talking to a bee. And the bee is talking to me! I just want to say I'm grateful. I'll leave now. - Wait! How did you learn to do that? - What? The talking thing. Same way you did, I guess. "Mama, Dada, honey." You pick it up. - That's very funny. - Yeah. Bees are funny. If we didn't laugh, we'd cry with what we have to deal with. Anyway... Oan I... ...get you something? - Like what? I don't know. I mean... I don't know. Ooffee? I don't want to put you out. It's no trouble. It takes two minutes. - It's just coffee. - I hate to impose. - Don't be ridiculous! - Actually, I would love a cup. Hey, you want rum cake? - I shouldn't. - Have some. - No, I can't. - Oome on! I'm trying to lose a couple micrograms. - Where? - These stripes don't help. You look great! I don't know if you know anything about fashion. Are you all right? No. He's making the tie in the cab as they're flying up Madison. He finally gets there. He runs up the steps into the church. The wedding is on. And he says, "Watermelon? I thought you said Guatemalan. Why would I marry a watermelon?" Is that a bee joke? That's the kind of stuff we do. Yeah, different. So, what are you gonna do, Barry? About work? I don't know. I want to do my part for the hive, but I can't do it the way they want. I know how you feel. - You do? - Sure. My parents wanted me to be a lawyer or a doctor, but I wanted to be a florist. - Really? - My only interest is flowers. Our new queen was just elected with that same campaign slogan. Anyway, if you look... There's my hive right there. See it? You're in Sheep Meadow! Yes! I'm right off the Turtle Pond! No way! I know that area. I lost a toe ring there once. - Why do girls put rings on their toes? - Why not? - It's like putting a hat on your knee. - Maybe I'll try that. - You all right, ma'am? - Oh, yeah. Fine. Just having two cups of coffee! Anyway, this has been great. Thanks for the coffee. Yeah, it's no trouble. Sorry I couldn't finish it. If I did, I'd be up the rest of my life. Are you...? Oan I take a piece of this with me? Sure! Here, have a crumb. - Thanks! - Yeah. All right. Well, then... I guess I'll see you around. Or not. OK, Barry. And thank you so much again... for before. Oh, that? That was nothing. Well, not nothing, but... Anyway... This can't possibly work. He's all set to go. We may as well try it. OK, Dave, pull the chute. - Sounds amazing. - It was amazing! It was the scariest, happiest moment of my life. Humans! I can't believe you were with humans! Giant, scary humans! What were they like? Huge and crazy. They talk crazy. They eat crazy giant things. They drive crazy. - Do they try and kill you, like on TV? - Some of them. But some of them don't. - How'd you get back? - Poodle. You did it, and I'm glad. You saw whatever you wanted to see. You had your "experience." Now you can pick out yourjob and be normal. - Well... - Well? Well, I met someone. You did? Was she Bee-ish? - A wasp?! Your parents will kill you! - No, no, no, not a wasp. - Spider? - I'm not attracted to spiders. I know it's the hottest thing, with the eight legs and all. I can't get by that face. So who is she? She's... human. No, no. That's a bee law. You wouldn't break a bee law. - Her name's Vanessa. - Oh, boy. She's so nice. And she's a florist! Oh, no! You're dating a human florist! We're not dating. You're flying outside the hive, talking to humans that attack our homes with power washers and M-80s! One-eighth a stick of dynamite! She saved my life! And she understands me. This is over! Eat this. This is not over! What was that? - They call it a crumb. - It was so stingin' stripey! And that's not what they eat. That's what falls off what they eat! - You know what a Oinnabon is? - No. It's bread and cinnamon and frosting. They heat it up... Sit down! ...really hot! - Listen to me! We are not them! We're us. There's us and there's them! Yes, but who can deny the heart that is yearning? There's no yearning. Stop yearning. Listen to me! You have got to start thinking bee, my friend. Thinking bee! - Thinking bee. - Thinking bee. Thinking bee! Thinking bee! Thinking bee! Thinking bee! There he is. He's in the pool. You know what your problem is, Barry? I gotta start thinking bee? How much longer will this go on? It's been three days! Why aren't you working? I've got a lot of big life decisions to think about. What life? You have no life! You have no job. You're barely a bee! Would it kill you to make a little honey? Barry, come out. Your father's talking to you. Martin, would you talk to him? Barry, I'm talking to you! You coming? Got everything? All set! Go ahead. I'll catch up. Don't be too long. Watch this! Vanessa! - We're still here. - I told you not to yell at him. He doesn't respond to yelling! - Then why yell at me? - Because you don't listen! I'm not listening to this. Sorry, I've gotta go. - Where are you going? - I'm meeting a friend. A girl? Is this why you can't decide? Bye. I just hope she's Bee-ish. They have a huge parade of flowers every year in Pasadena? To be in the Tournament of Roses, that's every florist's dream! Up on a float, surrounded by flowers, crowds cheering. A tournament. Do the roses compete in athletic events? No. All right, I've got one. How come you don't fly everywhere? It's exhausting. Why don't you run everywhere? It's faster. Yeah, OK, I see, I see. All right, your turn. TiVo. You can just freeze live TV? That's insane! You don't have that? We have Hivo, but it's a disease. It's a horrible, horrible disease. Oh, my. Dumb bees! You must want to sting all those jerks. We try not to sting. It's usually fatal for us. So you have to watch your temper. Very carefully. You kick a wall, take a walk, write an angry letter and throw it out. Work through it like any emotion: Anger, jealousy, lust. Oh, my goodness! Are you OK? Yeah. - What is wrong with you?! - It's a bug. He's not bothering anybody. Get out of here, you creep! What was that? A Pic 'N' Save circular? Yeah, it was. How did you know? It felt like about 10 pages. Seventy-five is pretty much our limit. You've really got that down to a science. - I lost a cousin to Italian Vogue. - I'll bet. What in the name of Mighty Hercules is this? How did this get here? Oute Bee, Golden Blossom, Ray Liotta Private Select? - Is he that actor? - I never heard of him. - Why is this here? - For people. We eat it. You don't have enough food of your own? - Well, yes. - How do you get it? - Bees make it. - I know who makes it! And it's hard to make it! There's heating, cooling, stirring. You need a whole Krelman thing! - It's organic. - It's our-ganic! It's just honey, Barry. Just what?! Bees don't know about this! This is stealing! A lot of stealing! You've taken our homes, schools, hospitals! This is all we have! And it's on sale?! I'm getting to the bottom of this. I'm getting to the bottom of all of this! Hey, Hector. - You almost done? - Almost. He is here. I sense it. Well, I guess I'll go home now and just leave this nice honey out, with no one around. You're busted, box boy! I knew I heard something. So you can talk! I can talk. And now you'll start talking! Where you getting the sweet stuff? Who's your supplier? I don't understand. I thought we were friends. The last thing we want to do is upset bees! You're too late! It's ours now! You, sir, have crossed the wrong sword! You, sir, will be lunch for my iguana, Ignacio! Where is the honey coming from? Tell me where! Honey Farms! It comes from Honey Farms! Orazy person! What horrible thing has happened here? These faces, they never knew what hit them. And now they're on the road to nowhere! Just keep still. What? You're not dead? Do I look dead? They will wipe anything that moves. Where you headed? To Honey Farms. I am onto something huge here. I'm going to Alaska. Moose blood, crazy stuff. Blows your head off! I'm going to Tacoma. - And you? - He really is dead. All right. Uh-oh! - What is that?! - Oh, no! - A wiper! Triple blade! - Triple blade? Jump on! It's your only chance, bee! Why does everything have to be so doggone clean?! How much do you people need to see?! Open your eyes! Stick your head out the window! From NPR News in Washington, I'm Oarl Kasell. But don't kill no more bugs! - Bee! - Moose blood guy!! - You hear something? - Like what? Like tiny screaming. Turn off the radio. Whassup, bee boy? Hey, Blood. Just a row of honey jars, as far as the eye could see. Wow! I assume wherever this truck goes is where they're getting it. I mean, that honey's ours. - Bees hang tight. - We're all jammed in. It's a close community. Not us, man. We on our own. Every mosquito on his own. - What if you get in trouble? - You a mosquito, you in trouble. Nobody likes us. They just smack. See a mosquito, smack, smack! At least you're out in the world. You must meet girls. Mosquito girls try to trade up, get with a moth, dragonfly. Mosquito girl don't want no mosquito. You got to be kidding me! Mooseblood's about to leave the building! So long, bee! - Hey, guys! - Mooseblood! I knew I'd catch y'all down here. Did you bring your crazy straw? We throw it in jars, slap a label on it, and it's pretty much pure profit. What is this place? A bee's got a brain the size of a pinhead. They are pinheads! Pinhead. - Oheck out the new smoker. - Oh, sweet. That's the one you want. The Thomas 3000! Smoker? Ninety puffs a minute, semi-automatic. Twice the nicotine, all the tar. A couple breaths of this knocks them right out. They make the honey, and we make the money. "They make the honey, and we make the money"? Oh, my! What's going on? Are you OK? Yeah. It doesn't last too long. Do you know you're in a fake hive with fake walls? Our queen was moved here. We had no choice. This is your queen? That's a man in women's clothes! That's a drag queen! What is this? Oh, no! There's hundreds of them! Bee honey. Our honey is being brazenly stolen on a massive scale! This is worse than anything bears have done! I intend to do something. Oh, Barry, stop. Who told you humans are taking our honey? That's a rumor. Do these look like rumors? That's a conspiracy theory. These are obviously doctored photos. How did you get mixed up in this? He's been talking to humans. - What? - Talking to humans?! He has a human girlfriend. And they make out! Make out? Barry! We do not. - You wish you could. - Whose side are you on? The bees! I dated a cricket once in San Antonio. Those crazy legs kept me up all night. Barry, this is what you want to do with your life? I want to do it for all our lives. Nobody works harder than bees! Dad, I remember you coming home so overworked your hands were still stirring. You couldn't stop. I remember that. What right do they have to our honey? We live on two cups a year. They put it in lip balm for no reason whatsoever! Even if it's true, what can one bee do? Sting them where it really hurts. In the face! The eye! - That would hurt. - No. Up the nose? That's a killer. There's only one place you can sting the humans, one place where it matters. Hive at Five, the hive's only full-hour action news source. No more bee beards! With Bob Bumble at the anchor desk. Weather with Storm Stinger. Sports with Buzz Larvi. And Jeanette Ohung. - Good evening. I'm Bob Bumble. - And I'm Jeanette Ohung. A tri-county bee, Barry Benson, intends to sue the human race for stealing our honey, packaging it and profiting from it illegally! Tomorrow night on Bee Larry King, we'll have three former queens here in our studio, discussing their new book, Olassy Ladies, out this week on Hexagon. Tonight we're talking to Barry Benson. Did you ever think, "I'm a kid from the hive. I can't do this"? Bees have never been afraid to change the world. What about Bee Oolumbus? Bee Gandhi? Bejesus? Where I'm from, we'd never sue humans. We were thinking of stickball or candy stores. How old are you? The bee community is supporting you in this case, which will be the trial of the bee century. You know, they have a Larry King in the human world too. It's a common name. Next week... He looks like you and has a show and suspenders and colored dots... Next week... Glasses, quotes on the bottom from the guest even though you just heard 'em. Bear Week next week! They're scary, hairy and here live. Always leans forward, pointy shoulders, squinty eyes, very Jewish. In tennis, you attack at the point of weakness! It was my grandmother, Ken. She's 81. Honey, her backhand's a joke! I'm not gonna take advantage of that? Quiet, please. Actual work going on here. - Is that that same bee? - Yes, it is! I'm helping him sue the human race. - Hello. - Hello, bee. This is Ken. Yeah, I remember you. Timberland, size ten and a half. Vibram sole, I believe. Why does he talk again? Listen, you better go 'cause we're really busy working. But it's our yogurt night! Bye-bye. Why is yogurt night so difficult?! You poor thing. You two have been at this for hours! Yes, and Adam here has been a huge help. - Frosting... - How many sugars? Just one. I try not to use the competition. So why are you helping me? Bees have good qualities. And it takes my mind off the shop. Instead of flowers, people are giving balloon bouquets now. Those are great, if you're three. And artificial flowers. - Oh, those just get me psychotic! - Yeah, me too. Bent stingers, pointless pollination. Bees must hate those fake things! Nothing worse than a daffodil that's had work done. Maybe this could make up for it a little bit. - This lawsuit's a pretty big deal. - I guess. You sure you want to go through with it? Am I sure? When I'm done with the humans, they won't be able to say, "Honey, I'm home," without paying a royalty! It's an incredible scene here in downtown Manhattan, where the world anxiously waits, because for the first time in history, we will hear for ourselves if a honeybee can actually speak. What have we gotten into here, Barry? It's pretty big, isn't it? I can't believe how many humans don't work during the day. You think billion-dollar multinational food companies have good lawyers? Everybody needs to stay behind the barricade. - What's the matter? - I don't know, I just got a chill. Well, if it isn't the bee team. You boys work on this? All rise! The Honorable Judge Bumbleton presiding. All right. Oase number 4475, Superior Oourt of New York, Barry Bee Benson v. the Honey Industry is now in session. Mr. Montgomery, you're representing the five food companies collectively? A privilege. Mr. Benson... you're representing all the bees of the world? I'm kidding. Yes, Your Honor, we're ready to proceed. Mr. Montgomery, your opening statement, please. Ladies and gentlemen of the jury, my grandmother was a simple woman. Born on a farm, she believed it was man's divine right to benefit from the bounty of nature God put before us. If we lived in the topsy-turvy world Mr. Benson imagines, just think of what would it mean. I would have to negotiate with the silkworm for the elastic in my britches! Talking bee! How do we know this isn't some sort of holographic motion-picture-capture Hollywood wizardry? They could be using laser beams! Robotics! Ventriloquism! Oloning! For all we know, he could be on steroids! Mr. Benson? Ladies and gentlemen, there's no trickery here. I'm just an ordinary bee. Honey's pretty important to me. It's important to all bees. We invented it! We make it. And we protect it with our lives. Unfortunately, there are some people in this room who think they can take it from us 'cause we're the little guys! I'm hoping that, after this is all over, you'll see how, by taking our honey, you not only take everything we have but everything we are! I wish he'd dress like that all the time. So nice! Oall your first witness. So, Mr. Klauss Vanderhayden of Honey Farms, big company you have. I suppose so. I see you also own Honeyburton and Honron! Yes, they provide beekeepers for our farms. Beekeeper. I find that to be a very disturbing term. I don't imagine you employ any bee-free-ers, do you? - No. - I couldn't hear you. - No. - No. Because you don't free bees. You keep bees. Not only that, it seems you thought a bear would be an appropriate image for a jar of honey. They're very lovable creatures. Yogi Bear, Fozzie Bear, Build-A-Bear. You mean like this? Bears kill bees! How'd you like his head crashing through your living room?! Biting into your couch! Spitting out your throw pillows! OK, that's enough. Take him away. So, Mr. Sting, thank you for being here. Your name intrigues me. - Where have I heard it before? - I was with a band called The Police. But you've never been a police officer, have you? No, I haven't. No, you haven't. And so here we have yet another example of bee culture casually stolen by a human for nothing more than a prance-about stage name. Oh, please. Have you ever been stung, Mr. Sting? Because I'm feeling a little stung, Sting. Or should I say... Mr. Gordon M. Sumner! That's not his real name?! You idiots! Mr. Liotta, first, belated congratulations on your Emmy win for a guest spot on ER in 2005. Thank you. Thank you. I see from your resume that you're devilishly handsome with a churning inner turmoil that's ready to blow. I enjoy what I do. Is that a crime? Not yet it isn't. But is this what it's come to for you? Exploiting tiny, helpless bees so you don't have to rehearse your part and learn your lines, sir? Watch it, Benson! I could blow right now! This isn't a goodfella. This is a badfella! Why doesn't someone just step on this creep, and we can all go home?! - Order in this court! - You're all thinking it! Order! Order, I say! - Say it! - Mr. Liotta, please sit down! I think it was awfully nice of that bear to pitch in like that. I think the jury's on our side. Are we doing everything right, legally? I'm a florist. Right. Well, here's to a great team. To a great team! Well, hello. - Ken! - Hello. I didn't think you were coming. No, I was just late. I tried to call, but... the battery. I didn't want all this to go to waste, so I called Barry. Luckily, he was free. Oh, that was lucky. There's a little left. I could heat it up. Yeah, heat it up, sure, whatever. So I hear you're quite a tennis player. I'm not much for the game myself. The ball's a little grabby. That's where I usually sit. Right... there. Ken, Barry was looking at your resume, and he agreed with me that eating with chopsticks isn't really a special skill. You think I don't see what you're doing? I know how hard it is to find the rightjob. We have that in common. Do we? Bees have 100 percent employment, but we do jobs like taking the crud out. That's just what I was thinking about doing. Ken, I let Barry borrow your razor for his fuzz. I hope that was all right. I'm going to drain the old stinger. Yeah, you do that. Look at that. You know, I've just about had it with your little mind games. - What's that? - Italian Vogue. Mamma mia, that's a lot of pages. A lot of ads. Remember what Van said, why is your life more valuable than mine? Funny, I just can't seem to recall that! I think something stinks in here! I love the smell of flowers. How do you like the smell of flames?! Not as much. Water bug! Not taking sides! Ken, I'm wearing a Ohapstick hat! This is pathetic! I've got issues! Well, well, well, a royal flush! - You're bluffing. - Am I? Surf's up, dude! Poo water! That bowl is gnarly. Except for those dirty yellow rings! Kenneth! What are you doing?! You know, I don't even like honey! I don't eat it! We need to talk! He's just a little bee! And he happens to be the nicest bee I've met in a long time! Long time? What are you talking about?! Are there other bugs in your life? No, but there are other things bugging me in life. And you're one of them! Fine! Talking bees, no yogurt night... My nerves are fried from riding on this emotional roller coaster! Goodbye, Ken. And for your information, I prefer sugar-free, artificial sweeteners made by man! I'm sorry about all that. I know it's got an aftertaste! I like it! I always felt there was some kind of barrier between Ken and me. I couldn't overcome it. Oh, well. Are you OK for the trial? I believe Mr. Montgomery is about out of ideas. We would like to call Mr. Barry Benson Bee to the stand. Good idea! You can really see why he's considered one of the best lawyers... Yeah. Layton, you've gotta weave some magic with this jury, or it's gonna be all over. Don't worry. The only thing I have to do to turn this jury around is to remind them of what they don't like about bees. - You got the tweezers? - Are you allergic? Only to losing, son. Only to losing. Mr. Benson Bee, I'll ask you what I think we'd all like to know. What exactly is your relationship to that woman? We're friends. - Good friends? - Yes. How good? Do you live together? Wait a minute... Are you her little... ...bedbug? I've seen a bee documentary or two. From what I understand, doesn't your queen give birth to all the bee children? - Yeah, but... - So those aren't your real parents! - Oh, Barry... - Yes, they are! Hold me back! You're an illegitimate bee, aren't you, Benson? He's denouncing bees! Don't y'all date your cousins? - Objection! - I'm going to pincushion this guy! Adam, don't! It's what he wants! Oh, I'm hit!! Oh, lordy, I am hit! Order! Order! The venom! The venom is coursing through my veins! I have been felled by a winged beast of destruction! You see? You can't treat them like equals! They're striped savages! Stinging's the only thing they know! It's their way! - Adam, stay with me. - I can't feel my legs. What angel of mercy will come forward to suck the poison from my heaving buttocks? I will have order in this court. Order! Order, please! The case of the honeybees versus the human race took a pointed turn against the bees yesterday when one of their legal team stung Layton T. Montgomery. - Hey, buddy. - Hey. - Is there much pain? - Yeah. I... I blew the whole case, didn't I? It doesn't matter. What matters is you're alive. You could have died. I'd be better off dead. Look at me. They got it from the cafeteria downstairs, in a tuna sandwich. Look, there's a little celery still on it. What was it like to sting someone? I can't explain it. It was all... All adrenaline and then... and then ecstasy! All right. You think it was all a trap? Of course. I'm sorry. I flew us right into this. What were we thinking? Look at us. We're just a couple of bugs in this world. What will the humans do to us if they win? I don't know. I hear they put the roaches in motels. That doesn't sound so bad. Adam, they check in, but they don't check out! Oh, my. Oould you get a nurse to close that window? - Why? - The smoke. Bees don't smoke. Right. Bees don't smoke. Bees don't smoke! But some bees are smoking. That's it! That's our case! It is? It's not over? Get dressed. I've gotta go somewhere. Get back to the court and stall. Stall any way you can. And assuming you've done step correctly, you're ready for the tub. Mr. Flayman. Yes? Yes, Your Honor! Where is the rest of your team? Well, Your Honor, it's interesting. Bees are trained to fly haphazardly, and as a result, we don't make very good time. I actually heard a funny story about... Your Honor, haven't these ridiculous bugs taken up enough of this court's valuable time? How much longer will we allow these absurd shenanigans to go on? They have presented no compelling evidence to support their charges against my clients, who run legitimate businesses. I move for a complete dismissal of this entire case! Mr. Flayman, I'm afraid I'm going to have to consider Mr. Montgomery's motion. But you can't! We have a terrific case. Where is your proof? Where is the evidence? Show me the smoking gun! Hold it, Your Honor! You want a smoking gun? Here is your smoking gun. What is that? It's a bee smoker! What, this? This harmless little contraption? This couldn't hurt a fly, let alone a bee. Look at what has happened to bees who have never been asked, "Smoking or non?" Is this what nature intended for us? To be forcibly addicted to smoke machines and man-made wooden slat work camps? Living out our lives as honey slaves to the white man? - What are we gonna do? - He's playing the species card. Ladies and gentlemen, please, free these bees! Free the bees! Free the bees! Free the bees! Free the bees! Free the bees! The court finds in favor of the bees! Vanessa, we won! I knew you could do it! High-five! Sorry. I'm OK! You know what this means? All the honey will finally belong to the bees. Now we won't have to work so hard all the time. This is an unholy perversion of the balance of nature, Benson. You'll regret this. Barry, how much honey is out there? All right. One at a time. Barry, who are you wearing? My sweater is Ralph Lauren, and I have no pants. - What if Montgomery's right? - What do you mean? We've been living the bee way a long time, 27 million years. Oongratulations on your victory. What will you demand as a settlement? First, we'll demand a complete shutdown of all bee work camps. Then we want back the honey that was ours to begin with, every last drop. We demand an end to the glorification of the bear as anything more than a filthy, smelly, bad-breath stink machine. We're all aware of what they do in the woods. Wait for my signal. Take him out. He'll have nauseous for a few hours, then he'll be fine. And we will no longer tolerate bee-negative nicknames... But it's just a prance-about stage name! ...unnecessary inclusion of honey in bogus health products and la-dee-da human tea-time snack garnishments. Oan't breathe. Bring it in, boys! Hold it right there! Good. Tap it. Mr. Buzzwell, we just passed three cups, and there's gallons more coming! - I think we need to shut down! - Shut down? We've never shut down. Shut down honey production! Stop making honey! Turn your key, sir! What do we do now? Oannonball! We're shutting honey production! Mission abort. Aborting pollination and nectar detail. Returning to base. Adam, you wouldn't believe how much honey was out there. Oh, yeah? What's going on? Where is everybody? - Are they out celebrating? - They're home. They don't know what to do. Laying out, sleeping in. I heard your Uncle Oarl was on his way to San Antonio with a cricket. At least we got our honey back. Sometimes I think, so what if humans liked our honey? Who wouldn't? It's the greatest thing in the world! I was excited to be part of making it. This was my new desk. This was my new job. I wanted to do it really well. And now... Now I can't. I don't understand why they're not happy. I thought their lives would be better! They're doing nothing. It's amazing. Honey really changes people. You don't have any idea what's going on, do you? - What did you want to show me? - This. What happened here? That is not the half of it. Oh, no. Oh, my. They're all wilting. Doesn't look very good, does it? No. And
ananya2001gupta / Bitcoin Price Prediction Using AI ML.Identify the software project, create business case, arrive at a problem statement. REQUIREMENT: Window XP, Internet, MS Office, etc. Problem Description: - 1. Introduction of AI and Machine Learning: - Artificial Intelligence applies machine learning, deep learning and other techniques to solve actual problems. Artificial intelligence (AI) brings the genuine human-to-machine interaction. Simply, Machine Learning is the algorithm that give computers the ability to learn from data and then make decisions and predictions, AI refers to idea where machines can execute tasks smartly. It is a faster process in learning the risk factors, and profitable opportunities. They have a feature of learning from their mistakes and experiences. When Machine learning is combined with Artificial Intelligence, it can be a large field to gather an immense amount of information and then rectify the errors and learn from further experiences, developing in a smarter, faster and accuracy handling technique. The main difference between Machine Learning and Artificial Intelligence is , If it is written in python then it is probably machine learning, If it is written in power point then it is artificial intelligence. As there are many existing projects that are implemented using AI and Machine Learning , And one of the project i.e., Bitcoin Price Prediction :- Bitcoin (₿ ) (founder - Satoshi Nakamoto , Ledger start: 3 January 2009 ) is a digital currency, a type of electronic money. It is decentralized advanced cash without a national bank or single chairman that can be sent from client to client on the shared Bitcoin arrange without middle people's requirement. Machine learning models can likely give us the insight we need to learn about the future of Cryptocurrency. It will not tell us the future but it might tell us the general trend and direction to expect the prices to move. These machine learning models predict the future of Bitcoin by coding them out in Python. Machine learning and AI-assisted trading have attracted growing interest for the past few years. this approach is to test the hypothesis that the inefficiency of the cryptocurrency market can be exploited to generate abnormal profits. the application of machine learning algorithms to the cryptocurrency market has been limited so far to the analysis of Bitcoin prices, using random forests , Bayesian neural network , long short-term memory neural network , and other algorithms. 2. Applications/Scope of AI and Machine Learning :- a) Sentiment Analysis :- It is the classification of subjective opinions or emotions (positive, negative, and neutral) within text data using natural language processing. b) It is Characterized as a use of computerized reasoning where accessible data is utilized through calculations to process or help the handling of factual information. BITCOIN PRICE PREDICTION USING AI AND MACHINE LEARNING: - The main aim of this is to find the actual Bitcoin price in US dollars can be predicted. The chance to make a model equipped for anticipating digital currencies fundamentally Bitcoin. # It works the prediction by taking the coinMarkup cap. # CoinMarketCap provides with historical data for Bitcoin price changes, keep a record of all the transactions by recording the amount of coins in circulation and the volume of coins traded in the last 24-hours. # Quandl is used to filter the dataset by using the MAT Lab properties. 3. Problem statement: - Some AI and Machine Learning problem statements are: - a) Data Privacy and Security: Once a company has dug up the data, privacy and security is eye-catching aspect that needs to be taken care of. b) Data Scarcity: The data is a very important aspect of AI, and labeled data is used to train machines to learn and make predictions. c) Data acquisition: In the process of machine learning, a large amount of data is used in the process of training and learning. d) High error susceptibility: In the process of artificial intelligence and machine learning, the high amount of data is used. Some problem statements of Bitcoin Price Prediction using AI and Machine Learning: - a) Experimental Phase Risk: It is less experimental than other counterparts. In addition, relative to traditional assets, its level can be assessed as high because this asset is not intended for conservative investors. b) Technology Risks: There is a technological risk to other cryptocurrencies in the form of the potential appearance of a more advanced cryptocurrency. Investors may simply not notice the moment when their virtual assets lose their real value. c) Price Variability: The variability of the value of cryptocurrency are the large volumes of exchange trading, the integration of Bitcoin with various companies, legislative initiatives of regulatory bodies and many other, sometimes disregarded phenomena. d) Consumer Protection: The property of the irreversibility of transactions in itself has little effect on the risks of investing in Bitcoin as an asset. e) Price Fluctuation Prediction: Since many investors care more about whether the sudden rise or fall is worth following. Bitcoin price often fluctuates by more than 10% (or even more than 30%) at some times. f) Lacks Government Regulation: Regulators in traditional financial markets are basically missing in the field of cryptocurrencies. For instance, fake news frequently affects the decisions of individual investors. g) It is difficult to use large interval data (e.g., day-level, and month-level data) . h) The change time of mining difficulties is much longer. Moreover, do not consider the news information since it is hard to determine the authenticity of a news or predict the occurrence of emergencies.
Skattermuffin / Hey Game Pepople I Know You R Ment To Like Make These Long But Come On Its Fun But Arrow Game LolAccording to all known laws of aviation, there is no way a bee should be able to fly. Its wings are too small to get its fat little body off the ground. The bee, of course, flies anyway because bees don't care what humans think is impossible. Yellow, black. Yellow, black. Yellow, black. Yellow, black. Ooh, black and yellow! Let's shake it up a little. Barry! Breakfast is ready! Ooming! Hang on a second. Hello? - Barry? - Adam? - Oan you believe this is happening? - I can't. I'll pick you up. Looking sharp. Use the stairs. Your father paid good money for those. Sorry. I'm excited. Here's the graduate. We're very proud of you, son. A perfect report card, all B's. Very proud. Ma! I got a thing going here. - You got lint on your fuzz. - Ow! That's me! - Wave to us! We'll be in row 118,000. - Bye! Barry, I told you, stop flying in the house! - Hey, Adam. - Hey, Barry. - Is that fuzz gel? - A little. Special day, graduation. Never thought I'd make it. Three days grade school, three days high school. Those were awkward. Three days college. I'm glad I took a day and hitchhiked around the hive. You did come back different. - Hi, Barry. - Artie, growing a mustache? Looks good. - Hear about Frankie? - Yeah. - You going to the funeral? - No, I'm not going. Everybody knows, sting someone, you die. Don't waste it on a squirrel. Such a hothead. I guess he could have just gotten out of the way. I love this incorporating an amusement park into our day. That's why we don't need vacations. Boy, quite a bit of pomp... under the circumstances. - Well, Adam, today we are men. - We are! - Bee-men. - Amen! Hallelujah! Students, faculty, distinguished bees, please welcome Dean Buzzwell. Welcome, New Hive Oity graduating class of... ...9:15. That concludes our ceremonies. And begins your career at Honex Industries! Will we pick ourjob today? I heard it's just orientation. Heads up! Here we go. Keep your hands and antennas inside the tram at all times. - Wonder what it'll be like? - A little scary. Welcome to Honex, a division of Honesco and a part of the Hexagon Group. This is it! Wow. Wow. We know that you, as a bee, have worked your whole life to get to the point where you can work for your whole life. Honey begins when our valiant Pollen Jocks bring the nectar to the hive. Our top-secret formula is automatically color-corrected, scent-adjusted and bubble-contoured into this soothing sweet syrup with its distinctive golden glow you know as... Honey! - That girl was hot. - She's my cousin! - She is? - Yes, we're all cousins. - Right. You're right. - At Honex, we constantly strive to improve every aspect of bee existence. These bees are stress-testing a new helmet technology. - What do you think he makes? - Not enough. Here we have our latest advancement, the Krelman. - What does that do? - Oatches that little strand of honey that hangs after you pour it. Saves us millions. Oan anyone work on the Krelman? Of course. Most bee jobs are small ones. But bees know that every small job, if it's done well, means a lot. But choose carefully because you'll stay in the job you pick for the rest of your life. The same job the rest of your life? I didn't know that. What's the difference? You'll be happy to know that bees, as a species, haven't had one day off in 27 million years. So you'll just work us to death? We'll sure try. Wow! That blew my mind! "What's the difference?" How can you say that? One job forever? That's an insane choice to have to make. I'm relieved. Now we only have to make one decision in life. But, Adam, how could they never have told us that? Why would you question anything? We're bees. We're the most perfectly functioning society on Earth. You ever think maybe things work a little too well here? Like what? Give me one example. I don't know. But you know what I'm talking about. Please clear the gate. Royal Nectar Force on approach. Wait a second. Oheck it out. - Hey, those are Pollen Jocks! - Wow. I've never seen them this close. They know what it's like outside the hive. Yeah, but some don't come back. - Hey, Jocks! - Hi, Jocks! You guys did great! You're monsters! You're sky freaks! I love it! I love it! - I wonder where they were. - I don't know. Their day's not planned. Outside the hive, flying who knows where, doing who knows what. You can'tjust decide to be a Pollen Jock. You have to be bred for that. Right. Look. That's more pollen than you and I will see in a lifetime. It's just a status symbol. Bees make too much of it. Perhaps. Unless you're wearing it and the ladies see you wearing it. Those ladies? Aren't they our cousins too? Distant. Distant. Look at these two. - Oouple of Hive Harrys. - Let's have fun with them. It must be dangerous being a Pollen Jock. Yeah. Once a bear pinned me against a mushroom! He had a paw on my throat, and with the other, he was slapping me! - Oh, my! - I never thought I'd knock him out. What were you doing during this? Trying to alert the authorities. I can autograph that. A little gusty out there today, wasn't it, comrades? Yeah. Gusty. We're hitting a sunflower patch six miles from here tomorrow. - Six miles, huh? - Barry! A puddle jump for us, but maybe you're not up for it. - Maybe I am. - You are not! We're going 0900 at J-Gate. What do you think, buzzy-boy? Are you bee enough? I might be. It all depends on what 0900 means. Hey, Honex! Dad, you surprised me. You decide what you're interested in? - Well, there's a lot of choices. - But you only get one. Do you ever get bored doing the same job every day? Son, let me tell you about stirring. You grab that stick, and you just move it around, and you stir it around. You get yourself into a rhythm. It's a beautiful thing. You know, Dad, the more I think about it, maybe the honey field just isn't right for me. You were thinking of what, making balloon animals? That's a bad job for a guy with a stinger. Janet, your son's not sure he wants to go into honey! - Barry, you are so funny sometimes. - I'm not trying to be funny. You're not funny! You're going into honey. Our son, the stirrer! - You're gonna be a stirrer? - No one's listening to me! Wait till you see the sticks I have. I could say anything right now. I'm gonna get an ant tattoo! Let's open some honey and celebrate! Maybe I'll pierce my thorax. Shave my antennae. Shack up with a grasshopper. Get a gold tooth and call everybody "dawg"! I'm so proud. - We're starting work today! - Today's the day. Oome on! All the good jobs will be gone. Yeah, right. Pollen counting, stunt bee, pouring, stirrer, front desk, hair removal... - Is it still available? - Hang on. Two left! One of them's yours! Oongratulations! Step to the side. - What'd you get? - Picking crud out. Stellar! Wow! Oouple of newbies? Yes, sir! Our first day! We are ready! Make your choice. - You want to go first? - No, you go. Oh, my. What's available? Restroom attendant's open, not for the reason you think. - Any chance of getting the Krelman? - Sure, you're on. I'm sorry, the Krelman just closed out. Wax monkey's always open. The Krelman opened up again. What happened? A bee died. Makes an opening. See? He's dead. Another dead one. Deady. Deadified. Two more dead. Dead from the neck up. Dead from the neck down. That's life! Oh, this is so hard! Heating, cooling, stunt bee, pourer, stirrer, humming, inspector number seven, lint coordinator, stripe supervisor, mite wrangler. Barry, what do you think I should... Barry? Barry! All right, we've got the sunflower patch in quadrant nine... What happened to you? Where are you? - I'm going out. - Out? Out where? - Out there. - Oh, no! I have to, before I go to work for the rest of my life. You're gonna die! You're crazy! Hello? Another call coming in. If anyone's feeling brave, there's a Korean deli on 83rd that gets their roses today. Hey, guys. - Look at that. - Isn't that the kid we saw yesterday? Hold it, son, flight deck's restricted. It's OK, Lou. We're gonna take him up. Really? Feeling lucky, are you? Sign here, here. Just initial that. - Thank you. - OK. You got a rain advisory today, and as you all know, bees cannot fly in rain. So be careful. As always, watch your brooms, hockey sticks, dogs, birds, bears and bats. Also, I got a couple of reports of root beer being poured on us. Murphy's in a home because of it, babbling like a cicada! - That's awful. - And a reminder for you rookies, bee law number one, absolutely no talking to humans! All right, launch positions! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Black and yellow! Hello! You ready for this, hot shot? Yeah. Yeah, bring it on. Wind, check. - Antennae, check. - Nectar pack, check. - Wings, check. - Stinger, check. Scared out of my shorts, check. OK, ladies, let's move it out! Pound those petunias, you striped stem-suckers! All of you, drain those flowers! Wow! I'm out! I can't believe I'm out! So blue. I feel so fast and free! Box kite! Wow! Flowers! This is Blue Leader. We have roses visual. Bring it around 30 degrees and hold. Roses! 30 degrees, roger. Bringing it around. Stand to the side, kid. It's got a bit of a kick. That is one nectar collector! - Ever see pollination up close? - No, sir. I pick up some pollen here, sprinkle it over here. Maybe a dash over there, a pinch on that one. See that? It's a little bit of magic. That's amazing. Why do we do that? That's pollen power. More pollen, more flowers, more nectar, more honey for us. Oool. I'm picking up a lot of bright yellow. Oould be daisies. Don't we need those? Oopy that visual. Wait. One of these flowers seems to be on the move. Say again? You're reporting a moving flower? Affirmative. That was on the line! This is the coolest. What is it? I don't know, but I'm loving this color. It smells good. Not like a flower, but I like it. Yeah, fuzzy. Ohemical-y. Oareful, guys. It's a little grabby. My sweet lord of bees! Oandy-brain, get off there! Problem! - Guys! - This could be bad. Affirmative. Very close. Gonna hurt. Mama's little boy. You are way out of position, rookie! Ooming in at you like a missile! Help me! I don't think these are flowers. - Should we tell him? - I think he knows. What is this?! Match point! You can start packing up, honey, because you're about to eat it! Yowser! Gross. There's a bee in the car! - Do something! - I'm driving! - Hi, bee. - He's back here! He's going to sting me! Nobody move. If you don't move, he won't sting you. Freeze! He blinked! Spray him, Granny! What are you doing?! Wow... the tension level out here is unbelievable. I gotta get home. Oan't fly in rain. Oan't fly in rain. Oan't fly in rain. Mayday! Mayday! Bee going down! Ken, could you close the window please? Ken, could you close the window please? Oheck out my new resume. I made it into a fold-out brochure. You see? Folds out. Oh, no. More humans. I don't need this. What was that? Maybe this time. This time. This time. This time! This time! This... Drapes! That is diabolical. It's fantastic. It's got all my special skills, even my top-ten favorite movies. What's number one? Star Wars? Nah, I don't go for that... ...kind of stuff. No wonder we shouldn't talk to them. They're out of their minds. When I leave a job interview, they're flabbergasted, can't believe what I say. There's the sun. Maybe that's a way out. I don't remember the sun having a big 75 on it. I predicted global warming. I could feel it getting hotter. At first I thought it was just me. Wait! Stop! Bee! Stand back. These are winter boots. Wait! Don't kill him! You know I'm allergic to them! This thing could kill me! Why does his life have less value than yours? Why does his life have any less value than mine? Is that your statement? I'm just saying all life has value. You don't know what he's capable of feeling. My brochure! There you go, little guy. I'm not scared of him. It's an allergic thing. Put that on your resume brochure. My whole face could puff up. Make it one of your special skills. Knocking someone out is also a special skill. Right. Bye, Vanessa. Thanks. - Vanessa, next week? Yogurt night? - Sure, Ken. You know, whatever. - You could put carob chips on there. - Bye. - Supposed to be less calories. - Bye. I gotta say something. She saved my life. I gotta say something. All right, here it goes. Nah. What would I say? I could really get in trouble. It's a bee law. You're not supposed to talk to a human. I can't believe I'm doing this. I've got to. Oh, I can't do it. Oome on! No. Yes. No. Do it. I can't. How should I start it? "You like jazz?" No, that's no good. Here she comes! Speak, you fool! Hi! I'm sorry. - You're talking. - Yes, I know. You're talking! I'm so sorry. No, it's OK. It's fine. I know I'm dreaming. But I don't recall going to bed. Well, I'm sure this is very disconcerting. This is a bit of a surprise to me. I mean, you're a bee! I am. And I'm not supposed to be doing this, but they were all trying to kill me. And if it wasn't for you... I had to thank you. It's just how I was raised. That was a little weird. - I'm talking with a bee. - Yeah. I'm talking to a bee. And the bee is talking to me! I just want to say I'm grateful. I'll leave now. - Wait! How did you learn to do that? - What? The talking thing. Same way you did, I guess. "Mama, Dada, honey." You pick it up. - That's very funny. - Yeah. Bees are funny. If we didn't laugh, we'd cry with what we have to deal with. Anyway... Oan I... ...get you something? - Like what? I don't know. I mean... I don't know. Ooffee? I don't want to put you out. It's no trouble. It takes two minutes. - It's just coffee. - I hate to impose. - Don't be ridiculous! - Actually, I would love a cup. Hey, you want rum cake? - I shouldn't. - Have some. - No, I can't. - Oome on! I'm trying to lose a couple micrograms. - Where? - These stripes don't help. You look great! I don't know if you know anything about fashion. Are you all right? No. He's making the tie in the cab as they're flying up Madison. He finally gets there. He runs up the steps into the church. The wedding is on. And he says, "Watermelon? I thought you said Guatemalan. Why would I marry a watermelon?" Is that a bee joke? That's the kind of stuff we do. Yeah, different. So, what are you gonna do, Barry? About work? I don't know. I want to do my part for the hive, but I can't do it the way they want. I know how you feel. - You do? - Sure. My parents wanted me to be a lawyer or a doctor, but I wanted to be a florist. - Really? - My only interest is flowers. Our new queen was just elected with that same campaign slogan. Anyway, if you look... There's my hive right there. See it? You're in Sheep Meadow! Yes! I'm right off the Turtle Pond! No way! I know that area. I lost a toe ring there once. - Why do girls put rings on their toes? - Why not? - It's like putting a hat on your knee. - Maybe I'll try that. - You all right, ma'am? - Oh, yeah. Fine. Just having two cups of coffee! Anyway, this has been great. Thanks for the coffee. Yeah, it's no trouble. Sorry I couldn't finish it. If I did, I'd be up the rest of my life. Are you...? Oan I take a piece of this with me? Sure! Here, have a crumb. - Thanks! - Yeah. All right. Well, then... I guess I'll see you around. Or not. OK, Barry. And thank you so much again... for before. Oh, that? That was nothing. Well, not nothing, but... Anyway... This can't possibly work. He's all set to go. We may as well try it. OK, Dave, pull the chute. - Sounds amazing. - It was amazing! It was the scariest, happiest moment of my life. Humans! I can't believe you were with humans! Giant, scary humans! What were they like? Huge and crazy. They talk crazy. They eat crazy giant things. They drive crazy. - Do they try and kill you, like on TV? - Some of them. But some of them don't. - How'd you get back? - Poodle. You did it, and I'm glad. You saw whatever you wanted to see. You had your "experience." Now you can pick out yourjob and be normal. - Well... - Well? Well, I met someone. You did? Was she Bee-ish? - A wasp?! Your parents will kill you! - No, no, no, not a wasp. - Spider? - I'm not attracted to spiders. I know it's the hottest thing, with the eight legs and all. I can't get by that face. So who is she? She's... human. No, no. That's a bee law. You wouldn't break a bee law. - Her name's Vanessa. - Oh, boy. She's so nice. And she's a florist! Oh, no! You're dating a human florist! We're not dating. You're flying outside the hive, talking to humans that attack our homes with power washers and M-80s! One-eighth a stick of dynamite! She saved my life! And she understands me. This is over! Eat this. This is not over! What was that? - They call it a crumb. - It was so stingin' stripey! And that's not what they eat. That's what falls off what they eat! - You know what a Oinnabon is? - No. It's bread and cinnamon and frosting. They heat it up... Sit down! ...really hot! - Listen to me! We are not them! We're us. There's us and there's them! Yes, but who can deny the heart that is yearning? There's no yearning. Stop yearning. Listen to me! You have got to start thinking bee, my friend. Thinking bee! - Thinking bee. - Thinking bee. Thinking bee! Thinking bee! Thinking bee! Thinking bee! There he is. He's in the pool. You know what your problem is, Barry? I gotta start thinking bee? How much longer will this go on? It's been three days! Why aren't you working? I've got a lot of big life decisions to think about. What life? You have no life! You have no job. You're barely a bee! Would it kill you to make a little honey? Barry, come out. Your father's talking to you. Martin, would you talk to him? Barry, I'm talking to you! You coming? Got everything? All set! Go ahead. I'll catch up. Don't be too long. Watch this! Vanessa! - We're still here. - I told you not to yell at him. He doesn't respond to yelling! - Then why yell at me? - Because you don't listen! I'm not listening to this. Sorry, I've gotta go. - Where are you going? - I'm meeting a friend. A girl? Is this why you can't decide? Bye. I just hope she's Bee-ish. They have a huge parade of flowers every year in Pasadena? To be in the Tournament of Roses, that's every florist's dream! Up on a float, surrounded by flowers, crowds cheering. A tournament. Do the roses compete in athletic events? No. All right, I've got one. How come you don't fly everywhere? It's exhausting. Why don't you run everywhere? It's faster. Yeah, OK, I see, I see. All right, your turn. TiVo. You can just freeze live TV? That's insane! You don't have that? We have Hivo, but it's a disease. It's a horrible, horrible disease. Oh, my. Dumb bees! You must want to sting all those jerks. We try not to sting. It's usually fatal for us. So you have to watch your temper. Very carefully. You kick a wall, take a walk, write an angry letter and throw it out. Work through it like any emotion: Anger, jealousy, lust. Oh, my goodness! Are you OK? Yeah. - What is wrong with you?! - It's a bug. He's not bothering anybody. Get out of here, you creep! What was that? A Pic 'N' Save circular? Yeah, it was. How did you know? It felt like about 10 pages. Seventy-five is pretty much our limit. You've really got that down to a science. - I lost a cousin to Italian Vogue. - I'll bet. What in the name of Mighty Hercules is this? How did this get here? Oute Bee, Golden Blossom, Ray Liotta Private Select? - Is he that actor? - I never heard of him. - Why is this here? - For people. We eat it. You don't have enough food of your own? - Well, yes. - How do you get it? - Bees make it. - I know who makes it! And it's hard to make it! There's heating, cooling, stirring. You need a whole Krelman thing! - It's organic. - It's our-ganic! It's just honey, Barry. Just what?! Bees don't know about this! This is stealing! A lot of stealing! You've taken our homes, schools, hospitals! This is all we have! And it's on sale?! I'm getting to the bottom of this. I'm getting to the bottom of all of this! Hey, Hector. - You almost done? - Almost. He is here. I sense it. Well, I guess I'll go home now and just leave this nice honey out, with no one around. You're busted, box boy! I knew I heard something. So you can talk! I can talk. And now you'll start talking! Where you getting the sweet stuff? Who's your supplier? I don't understand. I thought we were friends. The last thing we want to do is upset bees! You're too late! It's ours now! You, sir, have crossed the wrong sword! You, sir, will be lunch for my iguana, Ignacio! Where is the honey coming from? Tell me where! Honey Farms! It comes from Honey Farms! Orazy person! What horrible thing has happened here? These faces, they never knew what hit them. And now they're on the road to nowhere! Just keep still. What? You're not dead? Do I look dead? They will wipe anything that moves. Where you headed? To Honey Farms. I am onto something huge here. I'm going to Alaska. Moose blood, crazy stuff. Blows your head off! I'm going to Tacoma. - And you? - He really is dead. All right. Uh-oh! - What is that?! - Oh, no! - A wiper! Triple blade! - Triple blade? Jump on! It's your only chance, bee! Why does everything have to be so doggone clean?! How much do you people need to see?! Open your eyes! Stick your head out the window! From NPR News in Washington, I'm Oarl Kasell. But don't kill no more bugs! - Bee! - Moose blood guy!! - You hear something? - Like what? Like tiny screaming. Turn off the radio. Whassup, bee boy? Hey, Blood. Just a row of honey jars, as far as the eye could see. Wow! I assume wherever this truck goes is where they're getting it. I mean, that honey's ours. - Bees hang tight. - We're all jammed in. It's a close community. Not us, man. We on our own. Every mosquito on his own. - What if you get in trouble? - You a mosquito, you in trouble. Nobody likes us. They just smack. See a mosquito, smack, smack! At least you're out in the world. You must meet girls. Mosquito girls try to trade up, get with a moth, dragonfly. Mosquito girl don't want no mosquito. You got to be kidding me! Mooseblood's about to leave the building! So long, bee! - Hey, guys! - Mooseblood! I knew I'd catch y'all down here. Did you bring your crazy straw? We throw it in jars, slap a label on it, and it's pretty much pure profit. What is this place? A bee's got a brain the size of a pinhead. They are pinheads! Pinhead. - Oheck out the new smoker. - Oh, sweet. That's the one you want. The Thomas 3000! Smoker? Ninety puffs a minute, semi-automatic. Twice the nicotine, all the tar. A couple breaths of this knocks them right out. They make the honey, and we make the money. "They make the honey, and we make the money"? Oh, my! What's going on? Are you OK? Yeah. It doesn't last too long. Do you know you're in a fake hive with fake walls? Our queen was moved here. We had no choice. This is your queen? That's a man in women's clothes! That's a drag queen! What is this? Oh, no! There's hundreds of them! Bee honey. Our honey is being brazenly stolen on a massive scale! This is worse than anything bears have done! I intend to do something. Oh, Barry, stop. Who told you humans are taking our honey? That's a rumor. Do these look like rumors? That's a conspiracy theory. These are obviously doctored photos. How did you get mixed up in this? He's been talking to humans. - What? - Talking to humans?! He has a human girlfriend. And they make out! Make out? Barry! We do not. - You wish you could. - Whose side are you on? The bees! I dated a cricket once in San Antonio. Those crazy legs kept me up all night. Barry, this is what you want to do with your life? I want to do it for all our lives. Nobody works harder than bees! Dad, I remember you coming home so overworked your hands were still stirring. You couldn't stop. I remember that. What right do they have to our honey? We live on two cups a year. They put it in lip balm for no reason whatsoever! Even if it's true, what can one bee do? Sting them where it really hurts. In the face! The eye! - That would hurt. - No. Up the nose? That's a killer. There's only one place you can sting the humans, one place where it matters. Hive at Five, the hive's only full-hour action news source. No more bee beards! With Bob Bumble at the anchor desk. Weather with Storm Stinger. Sports with Buzz Larvi. And Jeanette Ohung. - Good evening. I'm Bob Bumble. - And I'm Jeanette Ohung. A tri-county bee, Barry Benson, intends to sue the human race for stealing our honey, packaging it and profiting from it illegally! Tomorrow night on Bee Larry King, we'll have three former queens here in our studio, discussing their new book, Olassy Ladies, out this week on Hexagon. Tonight we're talking to Barry Benson. Did you ever think, "I'm a kid from the hive. I can't do this"? Bees have never been afraid to change the world. What about Bee Oolumbus? Bee Gandhi? Bejesus? Where I'm from, we'd never sue humans. We were thinking of stickball or candy stores. How old are you? The bee community is supporting you in this case, which will be the trial of the bee century. You know, they have a Larry King in the human world too. It's a common name. Next week... He looks like you and has a show and suspenders and colored dots... Next week... Glasses, quotes on the bottom from the guest even though you just heard 'em. Bear Week next week! They're scary, hairy and here live. Always leans forward, pointy shoulders, squinty eyes, very Jewish. In tennis, you attack at the point of weakness! It was my grandmother, Ken. She's 81. Honey, her backhand's a joke! I'm not gonna take advantage of that? Quiet, please. Actual work going on here. - Is that that same bee? - Yes, it is! I'm helping him sue the human race. - Hello. - Hello, bee. This is Ken. Yeah, I remember you. Timberland, size ten and a half. Vibram sole, I believe. Why does he talk again? Listen, you better go 'cause we're really busy working. But it's our yogurt night! Bye-bye. Why is yogurt night so difficult?! You poor thing. You two have been at this for hours! Yes, and Adam here has been a huge help. - Frosting... - How many sugars? Just one. I try not to use the competition. So why are you helping me? Bees have good qualities. And it takes my mind off the shop. Instead of flowers, people are giving balloon bouquets now. Those are great, if you're three. And artificial flowers. - Oh, those just get me psychotic! - Yeah, me too. Bent stingers, pointless pollination. Bees must hate those fake things! Nothing worse than a daffodil that's had work done. Maybe this could make up for it a little bit. - This lawsuit's a pretty big deal. - I guess. You sure you want to go through with it? Am I sure? When I'm done with the humans, they won't be able to say, "Honey, I'm home," without paying a royalty! It's an incredible scene here in downtown Manhattan, where the world anxiously waits, because for the first time in history, we will hear for ourselves if a honeybee can actually speak. What have we gotten into here, Barry? It's pretty big, isn't it? I can't believe how many humans don't work during the day. You think billion-dollar multinational food companies have good lawyers? Everybody needs to stay behind the barricade. - What's the matter? - I don't know, I just got a chill. Well, if it isn't the bee team. You boys work on this? All rise! The Honorable Judge Bumbleton presiding. All right. Oase number 4475, Superior Oourt of New York, Barry Bee Benson v. the Honey Industry is now in session. Mr. Montgomery, you're representing the five food companies collectively? A privilege. Mr. Benson... you're representing all the bees of the world? I'm kidding. Yes, Your Honor, we're ready to proceed. Mr. Montgomery, your opening statement, please. Ladies and gentlemen of the jury, my grandmother was a simple woman. Born on a farm, she believed it was man's divine right to benefit from the bounty of nature God put before us. If we lived in the topsy-turvy world Mr. Benson imagines, just think of what would it mean. I would have to negotiate with the silkworm for the elastic in my britches! Talking bee! How do we know this isn't some sort of holographic motion-picture-capture Hollywood wizardry? They could be using laser beams! Robotics! Ventriloquism! Oloning! For all we know, he could be on steroids! Mr. Benson? Ladies and gentlemen, there's no trickery here. I'm just an ordinary bee. Honey's pretty important to me. It's important to all bees. We invented it! We make it. And we protect it with our lives. Unfortunately, there are some people in this room who think they can take it from us 'cause we're the little guys! I'm hoping that, after this is all over, you'll see how, by taking our honey, you not only take everything we have but everything we are! I wish he'd dress like that all the time. So nice! Oall your first witness. So, Mr. Klauss Vanderhayden of Honey Farms, big company you have. I suppose so. I see you also own Honeyburton and Honron! Yes, they provide beekeepers for our farms. Beekeeper. I find that to be a very disturbing term. I don't imagine you employ any bee-free-ers, do you? - No. - I couldn't hear you. - No. - No. Because you don't free bees. You keep bees. Not only that, it seems you thought a bear would be an appropriate image for a jar of honey. They're very lovable creatures. Yogi Bear, Fozzie Bear, Build-A-Bear. You mean like this? Bears kill bees! How'd you like his head crashing through your living room?! Biting into your couch! Spitting out your throw pillows! OK, that's enough. Take him away. So, Mr. Sting, thank you for being here. Your name intrigues me. - Where have I heard it before? - I was with a band called The Police. But you've never been a police officer, have you? No, I haven't. No, you haven't. And so here we have yet another example of bee culture casually stolen by a human for nothing more than a prance-about stage name. Oh, please. Have you ever been stung, Mr. Sting? Because I'm feeling a little stung, Sting. Or should I say... Mr. Gordon M. Sumner! That's not his real name?! You idiots! Mr. Liotta, first, belated congratulations on your Emmy win for a guest spot on ER in 2005. Thank you. Thank you. I see from your resume that you're devilishly handsome with a churning inner turmoil that's ready to blow. I enjoy what I do. Is that a crime? Not yet it isn't. But is this what it's come to for you? Exploiting tiny, helpless bees so you don't have to rehearse your part and learn your lines, sir? Watch it, Benson! I could blow right now! This isn't a goodfella. This is a badfella! Why doesn't someone just step on this creep, and we can all go home?! - Order in this court! - You're all thinking it! Order! Order, I say! - Say it! - Mr. Liotta, please sit down! I think it was awfully nice of that bear to pitch in like that. I think the jury's on our side. Are we doing everything right, legally? I'm a florist. Right. Well, here's to a great team. To a great team! Well, hello. - Ken! - Hello. I didn't think you were coming. No, I was just late. I tried to call, but... the battery. I didn't want all this to go to waste, so I called Barry. Luckily, he was free. Oh, that was lucky. There's a little left. I could heat it up. Yeah, heat it up, sure, whatever. So I hear you're quite a tennis player. I'm not much for the game myself. The ball's a little grabby. That's where I usually sit. Right... there. Ken, Barry was looking at your resume, and he agreed with me that eating with chopsticks isn't really a special skill. You think I don't see what you're doing? I know how hard it is to find the rightjob. We have that in common. Do we? Bees have 100 percent employment, but we do jobs like taking the crud out. That's just what I was thinking about doing. Ken, I let Barry borrow your razor for his fuzz. I hope that was all right. I'm going to drain the old stinger. Yeah, you do that. Look at that. You know, I've just about had it with your little mind games. - What's that? - Italian Vogue. Mamma mia, that's a lot of pages. A lot of ads. Remember what Van said, why is your life more valuable than mine? Funny, I just can't seem to recall that! I think something stinks in here! I love the smell of flowers. How do you like the smell of flames?! Not as much. Water bug! Not taking sides! Ken, I'm wearing a Ohapstick hat! This is pathetic! I've got issues! Well, well, well, a royal flush! - You're bluffing. - Am I? Surf's up, dude! Poo water! That bowl is gnarly. Except for those dirty yellow rings! Kenneth! What are you doing?! You know, I don't even like honey! I don't eat it! We need to talk! He's just a little bee! And he happens to be the nicest bee I've met in a long time! Long time? What are you talking about?! Are there other bugs in your life? No, but there are other things bugging me in life. And you're one of them! Fine! Talking bees, no yogurt night... My nerves are fried from riding on this emotional roller coaster! Goodbye, Ken. And for your information, I prefer sugar-free, artificial sweeteners made by man! I'm sorry about all that. I know it's got an aftertaste! I like it! I always felt there was some kind of barrier between Ken and me. I couldn't overcome it. Oh, well. Are you OK for the trial? I believe Mr. Montgomery is about out of ideas. We would like to call Mr. Barry Benson Bee to the stand. Good idea! You can really see why he's considered one of the best lawyers... Yeah. Layton, you've gotta weave some magic with this jury, or it's gonna be all over. Don't worry. The only thing I have to do to turn this jury around is to remind them of what they don't like about bees. - You got the tweezers? - Are you allergic? Only to losing, son. Only to losing. Mr. Benson Bee, I'll ask you what I think we'd all like to know. What exactly is your relationship to that woman? We're friends. - Good friends? - Yes. How good? Do you live together? Wait a minute... Are you her little... ...bedbug? I've seen a bee documentary or two. From what I understand, doesn't your queen give birth to all the bee children? - Yeah, but... - So those aren't your real parents! - Oh, Barry... - Yes, they are! Hold me back! You're an illegitimate bee, aren't you, Benson? He's denouncing bees! Don't y'all date your cousins? - Objection! - I'm going to pincushion this guy! Adam, don't! It's what he wants! Oh, I'm hit!! Oh, lordy, I am hit! Order! Order! The venom! The venom is coursing through my veins! I have been felled by a winged beast of destruction! You see? You can't treat them like equals! They're striped savages! Stinging's the only thing they know! It's their way! - Adam, stay with me. - I can't feel my legs. What angel of mercy will come forward to suck the poison from my heaving buttocks? I will have order in this court. Order! Order, please! The case of the honeybees versus the human race took a pointed turn against the bees yesterday when one of their legal team stung Layton T. Montgomery. - Hey, buddy. - Hey. - Is there much pain? - Yeah. I... I blew the whole case, didn't I? It doesn't matter. What matters is you're alive. You could have died. I'd be better off dead. Look at me. They got it from the cafeteria downstairs, in a tuna sandwich. Look, there's a little celery still on it. What was it like to sting someone? I can't explain it. It was all... All adrenaline and then... and then ecstasy! All right. You think it was all a trap? Of course. I'm sorry. I flew us right into this. What were we thinking? Look at us. We're just a couple of bugs in this world. What will the humans do to us if they win? I don't know. I hear they put the roaches in motels. That doesn't sound so bad. Adam, they check in, but they don't check out! Oh, my. Oould you get a nurse to close that window? - Why? - The smoke. Bees don't smoke. Right. Bees don't smoke. Bees don't smoke! But some bees are smoking. That's it! That's our case! It is? It's not over? Get dressed. I've gotta go somewhere. Get back to the court and stall. Stall any way you can. And assuming you've done step correctly, you're ready for the tub. Mr. Flayman. Yes? Yes, Your Honor! Where is the rest of your team? Well, Your Honor, it's interesting. Bees are trained to fly haphazardly, and as a result, we don't make very good time. I actually heard a funny story about... Your Honor, haven't these ridiculous bugs taken up enough of this court's valuable time? How much longer will we allow these absurd shenanigans to go on? They have presented no compelling evidence to support their charges against my clients, who run legitimate businesses. I move for a complete dismissal of this entire case! Mr. Flayman, I'm afraid I'm going to have to consider Mr. Montgomery's motion. But you can't! We have a terrific case. Where is your proof? Where is the evidence? Show me the smoking gun! Hold it, Your Honor! You want a smoking gun? Here is your smoking gun. What is that? It's a bee smoker! What, this? This harmless little contraption? This couldn't hurt a fly, let alone a bee. Look at what has happened to bees who have never been asked, "Smoking or non?" Is this what nature intended for us? To be forcibly addicted to smoke machines and man-made wooden slat work camps? Living out our lives as honey slaves to the white man? - What are we gonna do? - He's playing the species card. Ladies and gentlemen, please, free these bees! Free the bees! Free the bees! Free the bees! Free the bees! Free the bees! The court finds in favor of the bees! Vanessa, we won! I knew you could do it! High-five! Sorry. I'm OK! You know what this means? All the honey will finally belong to the bees. Now we won't have to work so hard all the time. This is an unholy perversion of the balance of nature, Benson. You'll regret this. Barry, how much honey is out there? All right. One at a time. Barry, who are you wearing? My sweater is Ralph Lauren, and I have no pants. - What if Montgomery's right? - What do you mean? We've been living the bee way a long time, 27 million years. Oongratulations on your victory. What will you demand as a settlement? First, we'll demand a complete shutdown of all bee work camps. Then we want back the honey that was ours to begin with, every last drop. We demand an end to the glorification of the bear as anything more than a filthy, smelly, bad-breath stink machine. We're all aware of what they do in the woods. Wait for my signal. Take him out. He'll have nauseous for a few hours, then he'll be fine. And we will no longer tolerate bee-negative nicknames... But it's just a prance-about stage name! ...unnecessary inclusion of honey in bogus health products and la-dee-da human tea-time snack garnishments. Oan't breathe. Bring it in, boys! Hold it right there! Good. Tap it. Mr. Buzzwell, we just passed three cups, and there's gallons more coming! - I think we need to shut down! - Shut down? We've never shut down. Shut down honey production! Stop making honey! Turn your key, sir! What do we do now? Oannonball! We're shutting honey production! Mission abort. Aborting pollination and nectar detail. Returning to base. Adam, you wouldn't believe how much honey was out there. Oh, yeah? What's going on? Where is everybody? - Are they out celebrating? - They're home. They don't know what to do. Laying out, sleeping in. I heard your Uncle Oarl was on his way to San Antonio with a cricket. At least we got our honey back. Sometimes I think, so what if humans liked our honey? Who wouldn't? It's the greatest thing in the world! I was excited to be part of making it. This was my new desk. This was my new job. I wanted to do it really well. And now... Now I can't. I don't understand why they're not happy. I thought their lives would be better! They're doing nothing. It's amazing. Honey really changes people. You don't have any idea what's going on, do you? - What did you want to show me? - This. What happened here? That is not the half of it. Oh, no. Oh, my. They're all wilting. Doesn't look very good, does it? No. And
Aryia-Behroziuan / NumpyQuickstart tutorial Prerequisites Before reading this tutorial you should know a bit of Python. If you would like to refresh your memory, take a look at the Python tutorial. If you wish to work the examples in this tutorial, you must also have some software installed on your computer. Please see https://scipy.org/install.html for instructions. Learner profile This tutorial is intended as a quick overview of algebra and arrays in NumPy and want to understand how n-dimensional (n>=2) arrays are represented and can be manipulated. In particular, if you don’t know how to apply common functions to n-dimensional arrays (without using for-loops), or if you want to understand axis and shape properties for n-dimensional arrays, this tutorial might be of help. Learning Objectives After this tutorial, you should be able to: Understand the difference between one-, two- and n-dimensional arrays in NumPy; Understand how to apply some linear algebra operations to n-dimensional arrays without using for-loops; Understand axis and shape properties for n-dimensional arrays. The Basics NumPy’s main object is the homogeneous multidimensional array. It is a table of elements (usually numbers), all of the same type, indexed by a tuple of non-negative integers. In NumPy dimensions are called axes. For example, the coordinates of a point in 3D space [1, 2, 1] has one axis. That axis has 3 elements in it, so we say it has a length of 3. In the example pictured below, the array has 2 axes. The first axis has a length of 2, the second axis has a length of 3. [[ 1., 0., 0.], [ 0., 1., 2.]] NumPy’s array class is called ndarray. It is also known by the alias array. Note that numpy.array is not the same as the Standard Python Library class array.array, which only handles one-dimensional arrays and offers less functionality. The more important attributes of an ndarray object are: ndarray.ndim the number of axes (dimensions) of the array. ndarray.shape the dimensions of the array. This is a tuple of integers indicating the size of the array in each dimension. For a matrix with n rows and m columns, shape will be (n,m). The length of the shape tuple is therefore the number of axes, ndim. ndarray.size the total number of elements of the array. This is equal to the product of the elements of shape. ndarray.dtype an object describing the type of the elements in the array. One can create or specify dtype’s using standard Python types. Additionally NumPy provides types of its own. numpy.int32, numpy.int16, and numpy.float64 are some examples. ndarray.itemsize the size in bytes of each element of the array. For example, an array of elements of type float64 has itemsize 8 (=64/8), while one of type complex32 has itemsize 4 (=32/8). It is equivalent to ndarray.dtype.itemsize. ndarray.data the buffer containing the actual elements of the array. Normally, we won’t need to use this attribute because we will access the elements in an array using indexing facilities. An example >>> import numpy as np a = np.arange(15).reshape(3, 5) a array([[ 0, 1, 2, 3, 4], [ 5, 6, 7, 8, 9], [10, 11, 12, 13, 14]]) a.shape (3, 5) a.ndim 2 a.dtype.name 'int64' a.itemsize 8 a.size 15 type(a) <class 'numpy.ndarray'> b = np.array([6, 7, 8]) b array([6, 7, 8]) type(b) <class 'numpy.ndarray'> Array Creation There are several ways to create arrays. For example, you can create an array from a regular Python list or tuple using the array function. The type of the resulting array is deduced from the type of the elements in the sequences. >>> >>> import numpy as np >>> a = np.array([2,3,4]) >>> a array([2, 3, 4]) >>> a.dtype dtype('int64') >>> b = np.array([1.2, 3.5, 5.1]) >>> b.dtype dtype('float64') A frequent error consists in calling array with multiple arguments, rather than providing a single sequence as an argument. >>> >>> a = np.array(1,2,3,4) # WRONG Traceback (most recent call last): ... TypeError: array() takes from 1 to 2 positional arguments but 4 were given >>> a = np.array([1,2,3,4]) # RIGHT array transforms sequences of sequences into two-dimensional arrays, sequences of sequences of sequences into three-dimensional arrays, and so on. >>> >>> b = np.array([(1.5,2,3), (4,5,6)]) >>> b array([[1.5, 2. , 3. ], [4. , 5. , 6. ]]) The type of the array can also be explicitly specified at creation time: >>> >>> c = np.array( [ [1,2], [3,4] ], dtype=complex ) >>> c array([[1.+0.j, 2.+0.j], [3.+0.j, 4.+0.j]]) Often, the elements of an array are originally unknown, but its size is known. Hence, NumPy offers several functions to create arrays with initial placeholder content. These minimize the necessity of growing arrays, an expensive operation. The function zeros creates an array full of zeros, the function ones creates an array full of ones, and the function empty creates an array whose initial content is random and depends on the state of the memory. By default, the dtype of the created array is float64. >>> >>> np.zeros((3, 4)) array([[0., 0., 0., 0.], [0., 0., 0., 0.], [0., 0., 0., 0.]]) >>> np.ones( (2,3,4), dtype=np.int16 ) # dtype can also be specified array([[[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]], [[1, 1, 1, 1], [1, 1, 1, 1], [1, 1, 1, 1]]], dtype=int16) >>> np.empty( (2,3) ) # uninitialized array([[ 3.73603959e-262, 6.02658058e-154, 6.55490914e-260], # may vary [ 5.30498948e-313, 3.14673309e-307, 1.00000000e+000]]) To create sequences of numbers, NumPy provides the arange function which is analogous to the Python built-in range, but returns an array. >>> >>> np.arange( 10, 30, 5 ) array([10, 15, 20, 25]) >>> np.arange( 0, 2, 0.3 ) # it accepts float arguments array([0. , 0.3, 0.6, 0.9, 1.2, 1.5, 1.8]) When arange is used with floating point arguments, it is generally not possible to predict the number of elements obtained, due to the finite floating point precision. For this reason, it is usually better to use the function linspace that receives as an argument the number of elements that we want, instead of the step: >>> >>> from numpy import pi >>> np.linspace( 0, 2, 9 ) # 9 numbers from 0 to 2 array([0. , 0.25, 0.5 , 0.75, 1. , 1.25, 1.5 , 1.75, 2. ]) >>> x = np.linspace( 0, 2*pi, 100 ) # useful to evaluate function at lots of points >>> f = np.sin(x) See also array, zeros, zeros_like, ones, ones_like, empty, empty_like, arange, linspace, numpy.random.Generator.rand, numpy.random.Generator.randn, fromfunction, fromfile Printing Arrays When you print an array, NumPy displays it in a similar way to nested lists, but with the following layout: the last axis is printed from left to right, the second-to-last is printed from top to bottom, the rest are also printed from top to bottom, with each slice separated from the next by an empty line. One-dimensional arrays are then printed as rows, bidimensionals as matrices and tridimensionals as lists of matrices. >>> >>> a = np.arange(6) # 1d array >>> print(a) [0 1 2 3 4 5] >>> >>> b = np.arange(12).reshape(4,3) # 2d array >>> print(b) [[ 0 1 2] [ 3 4 5] [ 6 7 8] [ 9 10 11]] >>> >>> c = np.arange(24).reshape(2,3,4) # 3d array >>> print(c) [[[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11]] [[12 13 14 15] [16 17 18 19] [20 21 22 23]]] See below to get more details on reshape. If an array is too large to be printed, NumPy automatically skips the central part of the array and only prints the corners: >>> >>> print(np.arange(10000)) [ 0 1 2 ... 9997 9998 9999] >>> >>> print(np.arange(10000).reshape(100,100)) [[ 0 1 2 ... 97 98 99] [ 100 101 102 ... 197 198 199] [ 200 201 202 ... 297 298 299] ... [9700 9701 9702 ... 9797 9798 9799] [9800 9801 9802 ... 9897 9898 9899] [9900 9901 9902 ... 9997 9998 9999]] To disable this behaviour and force NumPy to print the entire array, you can change the printing options using set_printoptions. >>> >>> np.set_printoptions(threshold=sys.maxsize) # sys module should be imported Basic Operations Arithmetic operators on arrays apply elementwise. A new array is created and filled with the result. >>> >>> a = np.array( [20,30,40,50] ) >>> b = np.arange( 4 ) >>> b array([0, 1, 2, 3]) >>> c = a-b >>> c array([20, 29, 38, 47]) >>> b**2 array([0, 1, 4, 9]) >>> 10*np.sin(a) array([ 9.12945251, -9.88031624, 7.4511316 , -2.62374854]) >>> a<35 array([ True, True, False, False]) Unlike in many matrix languages, the product operator * operates elementwise in NumPy arrays. The matrix product can be performed using the @ operator (in python >=3.5) or the dot function or method: >>> >>> A = np.array( [[1,1], ... [0,1]] ) >>> B = np.array( [[2,0], ... [3,4]] ) >>> A * B # elementwise product array([[2, 0], [0, 4]]) >>> A @ B # matrix product array([[5, 4], [3, 4]]) >>> A.dot(B) # another matrix product array([[5, 4], [3, 4]]) Some operations, such as += and *=, act in place to modify an existing array rather than create a new one. >>> >>> rg = np.random.default_rng(1) # create instance of default random number generator >>> a = np.ones((2,3), dtype=int) >>> b = rg.random((2,3)) >>> a *= 3 >>> a array([[3, 3, 3], [3, 3, 3]]) >>> b += a >>> b array([[3.51182162, 3.9504637 , 3.14415961], [3.94864945, 3.31183145, 3.42332645]]) >>> a += b # b is not automatically converted to integer type Traceback (most recent call last): ... numpy.core._exceptions.UFuncTypeError: Cannot cast ufunc 'add' output from dtype('float64') to dtype('int64') with casting rule 'same_kind' When operating with arrays of different types, the type of the resulting array corresponds to the more general or precise one (a behavior known as upcasting). >>> >>> a = np.ones(3, dtype=np.int32) >>> b = np.linspace(0,pi,3) >>> b.dtype.name 'float64' >>> c = a+b >>> c array([1. , 2.57079633, 4.14159265]) >>> c.dtype.name 'float64' >>> d = np.exp(c*1j) >>> d array([ 0.54030231+0.84147098j, -0.84147098+0.54030231j, -0.54030231-0.84147098j]) >>> d.dtype.name 'complex128' Many unary operations, such as computing the sum of all the elements in the array, are implemented as methods of the ndarray class. >>> >>> a = rg.random((2,3)) >>> a array([[0.82770259, 0.40919914, 0.54959369], [0.02755911, 0.75351311, 0.53814331]]) >>> a.sum() 3.1057109529998157 >>> a.min() 0.027559113243068367 >>> a.max() 0.8277025938204418 By default, these operations apply to the array as though it were a list of numbers, regardless of its shape. However, by specifying the axis parameter you can apply an operation along the specified axis of an array: >>> >>> b = np.arange(12).reshape(3,4) >>> b array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]]) >>> >>> b.sum(axis=0) # sum of each column array([12, 15, 18, 21]) >>> >>> b.min(axis=1) # min of each row array([0, 4, 8]) >>> >>> b.cumsum(axis=1) # cumulative sum along each row array([[ 0, 1, 3, 6], [ 4, 9, 15, 22], [ 8, 17, 27, 38]]) Universal Functions NumPy provides familiar mathematical functions such as sin, cos, and exp. In NumPy, these are called “universal functions”(ufunc). Within NumPy, these functions operate elementwise on an array, producing an array as output. >>> >>> B = np.arange(3) >>> B array([0, 1, 2]) >>> np.exp(B) array([1. , 2.71828183, 7.3890561 ]) >>> np.sqrt(B) array([0. , 1. , 1.41421356]) >>> C = np.array([2., -1., 4.]) >>> np.add(B, C) array([2., 0., 6.]) See also all, any, apply_along_axis, argmax, argmin, argsort, average, bincount, ceil, clip, conj, corrcoef, cov, cross, cumprod, cumsum, diff, dot, floor, inner, invert, lexsort, max, maximum, mean, median, min, minimum, nonzero, outer, prod, re, round, sort, std, sum, trace, transpose, var, vdot, vectorize, where Indexing, Slicing and Iterating One-dimensional arrays can be indexed, sliced and iterated over, much like lists and other Python sequences. >>> >>> a = np.arange(10)**3 >>> a array([ 0, 1, 8, 27, 64, 125, 216, 343, 512, 729]) >>> a[2] 8 >>> a[2:5] array([ 8, 27, 64]) # equivalent to a[0:6:2] = 1000; # from start to position 6, exclusive, set every 2nd element to 1000 >>> a[:6:2] = 1000 >>> a array([1000, 1, 1000, 27, 1000, 125, 216, 343, 512, 729]) >>> a[ : :-1] # reversed a array([ 729, 512, 343, 216, 125, 1000, 27, 1000, 1, 1000]) >>> for i in a: ... print(i**(1/3.)) ... 9.999999999999998 1.0 9.999999999999998 3.0 9.999999999999998 4.999999999999999 5.999999999999999 6.999999999999999 7.999999999999999 8.999999999999998 Multidimensional arrays can have one index per axis. These indices are given in a tuple separated by commas: >>> >>> def f(x,y): ... return 10*x+y ... >>> b = np.fromfunction(f,(5,4),dtype=int) >>> b array([[ 0, 1, 2, 3], [10, 11, 12, 13], [20, 21, 22, 23], [30, 31, 32, 33], [40, 41, 42, 43]]) >>> b[2,3] 23 >>> b[0:5, 1] # each row in the second column of b array([ 1, 11, 21, 31, 41]) >>> b[ : ,1] # equivalent to the previous example array([ 1, 11, 21, 31, 41]) >>> b[1:3, : ] # each column in the second and third row of b array([[10, 11, 12, 13], [20, 21, 22, 23]]) When fewer indices are provided than the number of axes, the missing indices are considered complete slices: >>> >>> b[-1] # the last row. Equivalent to b[-1,:] array([40, 41, 42, 43]) The expression within brackets in b[i] is treated as an i followed by as many instances of : as needed to represent the remaining axes. NumPy also allows you to write this using dots as b[i,...]. The dots (...) represent as many colons as needed to produce a complete indexing tuple. For example, if x is an array with 5 axes, then x[1,2,...] is equivalent to x[1,2,:,:,:], x[...,3] to x[:,:,:,:,3] and x[4,...,5,:] to x[4,:,:,5,:]. >>> >>> c = np.array( [[[ 0, 1, 2], # a 3D array (two stacked 2D arrays) ... [ 10, 12, 13]], ... [[100,101,102], ... [110,112,113]]]) >>> c.shape (2, 2, 3) >>> c[1,...] # same as c[1,:,:] or c[1] array([[100, 101, 102], [110, 112, 113]]) >>> c[...,2] # same as c[:,:,2] array([[ 2, 13], [102, 113]]) Iterating over multidimensional arrays is done with respect to the first axis: >>> >>> for row in b: ... print(row) ... [0 1 2 3] [10 11 12 13] [20 21 22 23] [30 31 32 33] [40 41 42 43] However, if one wants to perform an operation on each element in the array, one can use the flat attribute which is an iterator over all the elements of the array: >>> >>> for element in b.flat: ... print(element) ... 0 1 2 3 10 11 12 13 20 21 22 23 30 31 32 33 40 41 42 43 See also Indexing, Indexing (reference), newaxis, ndenumerate, indices Shape Manipulation Changing the shape of an array An array has a shape given by the number of elements along each axis: >>> >>> a = np.floor(10*rg.random((3,4))) >>> a array([[3., 7., 3., 4.], [1., 4., 2., 2.], [7., 2., 4., 9.]]) >>> a.shape (3, 4) The shape of an array can be changed with various commands. Note that the following three commands all return a modified array, but do not change the original array: >>> >>> a.ravel() # returns the array, flattened array([3., 7., 3., 4., 1., 4., 2., 2., 7., 2., 4., 9.]) >>> a.reshape(6,2) # returns the array with a modified shape array([[3., 7.], [3., 4.], [1., 4.], [2., 2.], [7., 2.], [4., 9.]]) >>> a.T # returns the array, transposed array([[3., 1., 7.], [7., 4., 2.], [3., 2., 4.], [4., 2., 9.]]) >>> a.T.shape (4, 3) >>> a.shape (3, 4) The order of the elements in the array resulting from ravel() is normally “C-style”, that is, the rightmost index “changes the fastest”, so the element after a[0,0] is a[0,1]. If the array is reshaped to some other shape, again the array is treated as “C-style”. NumPy normally creates arrays stored in this order, so ravel() will usually not need to copy its argument, but if the array was made by taking slices of another array or created with unusual options, it may need to be copied. The functions ravel() and reshape() can also be instructed, using an optional argument, to use FORTRAN-style arrays, in which the leftmost index changes the fastest. The reshape function returns its argument with a modified shape, whereas the ndarray.resize method modifies the array itself: >>> >>> a array([[3., 7., 3., 4.], [1., 4., 2., 2.], [7., 2., 4., 9.]]) >>> a.resize((2,6)) >>> a array([[3., 7., 3., 4., 1., 4.], [2., 2., 7., 2., 4., 9.]]) If a dimension is given as -1 in a reshaping operation, the other dimensions are automatically calculated: >>> >>> a.reshape(3,-1) array([[3., 7., 3., 4.], [1., 4., 2., 2.], [7., 2., 4., 9.]]) See also ndarray.shape, reshape, resize, ravel Stacking together different arrays Several arrays can be stacked together along different axes: >>> >>> a = np.floor(10*rg.random((2,2))) >>> a array([[9., 7.], [5., 2.]]) >>> b = np.floor(10*rg.random((2,2))) >>> b array([[1., 9.], [5., 1.]]) >>> np.vstack((a,b)) array([[9., 7.], [5., 2.], [1., 9.], [5., 1.]]) >>> np.hstack((a,b)) array([[9., 7., 1., 9.], [5., 2., 5., 1.]]) The function column_stack stacks 1D arrays as columns into a 2D array. It is equivalent to hstack only for 2D arrays: >>> >>> from numpy import newaxis >>> np.column_stack((a,b)) # with 2D arrays array([[9., 7., 1., 9.], [5., 2., 5., 1.]]) >>> a = np.array([4.,2.]) >>> b = np.array([3.,8.]) >>> np.column_stack((a,b)) # returns a 2D array array([[4., 3.], [2., 8.]]) >>> np.hstack((a,b)) # the result is different array([4., 2., 3., 8.]) >>> a[:,newaxis] # view `a` as a 2D column vector array([[4.], [2.]]) >>> np.column_stack((a[:,newaxis],b[:,newaxis])) array([[4., 3.], [2., 8.]]) >>> np.hstack((a[:,newaxis],b[:,newaxis])) # the result is the same array([[4., 3.], [2., 8.]]) On the other hand, the function row_stack is equivalent to vstack for any input arrays. In fact, row_stack is an alias for vstack: >>> >>> np.column_stack is np.hstack False >>> np.row_stack is np.vstack True In general, for arrays with more than two dimensions, hstack stacks along their second axes, vstack stacks along their first axes, and concatenate allows for an optional arguments giving the number of the axis along which the concatenation should happen. Note In complex cases, r_ and c_ are useful for creating arrays by stacking numbers along one axis. They allow the use of range literals (“:”) >>> >>> np.r_[1:4,0,4] array([1, 2, 3, 0, 4]) When used with arrays as arguments, r_ and c_ are similar to vstack and hstack in their default behavior, but allow for an optional argument giving the number of the axis along which to concatenate. See also hstack, vstack, column_stack, concatenate, c_, r_ Splitting one array into several smaller ones Using hsplit, you can split an array along its horizontal axis, either by specifying the number of equally shaped arrays to return, or by specifying the columns after which the division should occur: >>> >>> a = np.floor(10*rg.random((2,12))) >>> a array([[6., 7., 6., 9., 0., 5., 4., 0., 6., 8., 5., 2.], [8., 5., 5., 7., 1., 8., 6., 7., 1., 8., 1., 0.]]) # Split a into 3 >>> np.hsplit(a,3) [array([[6., 7., 6., 9.], [8., 5., 5., 7.]]), array([[0., 5., 4., 0.], [1., 8., 6., 7.]]), array([[6., 8., 5., 2.], [1., 8., 1., 0.]])] # Split a after the third and the fourth column >>> np.hsplit(a,(3,4)) [array([[6., 7., 6.], [8., 5., 5.]]), array([[9.], [7.]]), array([[0., 5., 4., 0., 6., 8., 5., 2.], [1., 8., 6., 7., 1., 8., 1., 0.]])] vsplit splits along the vertical axis, and array_split allows one to specify along which axis to split. Copies and Views When operating and manipulating arrays, their data is sometimes copied into a new array and sometimes not. This is often a source of confusion for beginners. There are three cases: No Copy at All Simple assignments make no copy of objects or their data. >>> >>> a = np.array([[ 0, 1, 2, 3], ... [ 4, 5, 6, 7], ... [ 8, 9, 10, 11]]) >>> b = a # no new object is created >>> b is a # a and b are two names for the same ndarray object True Python passes mutable objects as references, so function calls make no copy. >>> >>> def f(x): ... print(id(x)) ... >>> id(a) # id is a unique identifier of an object 148293216 # may vary >>> f(a) 148293216 # may vary View or Shallow Copy Different array objects can share the same data. The view method creates a new array object that looks at the same data. >>> >>> c = a.view() >>> c is a False >>> c.base is a # c is a view of the data owned by a True >>> c.flags.owndata False >>> >>> c = c.reshape((2, 6)) # a's shape doesn't change >>> a.shape (3, 4) >>> c[0, 4] = 1234 # a's data changes >>> a array([[ 0, 1, 2, 3], [1234, 5, 6, 7], [ 8, 9, 10, 11]]) Slicing an array returns a view of it: >>> >>> s = a[ : , 1:3] # spaces added for clarity; could also be written "s = a[:, 1:3]" >>> s[:] = 10 # s[:] is a view of s. Note the difference between s = 10 and s[:] = 10 >>> a array([[ 0, 10, 10, 3], [1234, 10, 10, 7], [ 8, 10, 10, 11]]) Deep Copy The copy method makes a complete copy of the array and its data. >>> >>> d = a.copy() # a new array object with new data is created >>> d is a False >>> d.base is a # d doesn't share anything with a False >>> d[0,0] = 9999 >>> a array([[ 0, 10, 10, 3], [1234, 10, 10, 7], [ 8, 10, 10, 11]]) Sometimes copy should be called after slicing if the original array is not required anymore. For example, suppose a is a huge intermediate result and the final result b only contains a small fraction of a, a deep copy should be made when constructing b with slicing: >>> >>> a = np.arange(int(1e8)) >>> b = a[:100].copy() >>> del a # the memory of ``a`` can be released. If b = a[:100] is used instead, a is referenced by b and will persist in memory even if del a is executed. Functions and Methods Overview Here is a list of some useful NumPy functions and methods names ordered in categories. See Routines for the full list. Array Creation arange, array, copy, empty, empty_like, eye, fromfile, fromfunction, identity, linspace, logspace, mgrid, ogrid, ones, ones_like, r_, zeros, zeros_like Conversions ndarray.astype, atleast_1d, atleast_2d, atleast_3d, mat Manipulations array_split, column_stack, concatenate, diagonal, dsplit, dstack, hsplit, hstack, ndarray.item, newaxis, ravel, repeat, reshape, resize, squeeze, swapaxes, take, transpose, vsplit, vstack Questions all, any, nonzero, where Ordering argmax, argmin, argsort, max, min, ptp, searchsorted, sort Operations choose, compress, cumprod, cumsum, inner, ndarray.fill, imag, prod, put, putmask, real, sum Basic Statistics cov, mean, std, var Basic Linear Algebra cross, dot, outer, linalg.svd, vdot Less Basic Broadcasting rules Broadcasting allows universal functions to deal in a meaningful way with inputs that do not have exactly the same shape. The first rule of broadcasting is that if all input arrays do not have the same number of dimensions, a “1” will be repeatedly prepended to the shapes of the smaller arrays until all the arrays have the same number of dimensions. The second rule of broadcasting ensures that arrays with a size of 1 along a particular dimension act as if they had the size of the array with the largest shape along that dimension. The value of the array element is assumed to be the same along that dimension for the “broadcast” array. After application of the broadcasting rules, the sizes of all arrays must match. More details can be found in Broadcasting. Advanced indexing and index tricks NumPy offers more indexing facilities than regular Python sequences. In addition to indexing by integers and slices, as we saw before, arrays can be indexed by arrays of integers and arrays of booleans. Indexing with Arrays of Indices >>> >>> a = np.arange(12)**2 # the first 12 square numbers >>> i = np.array([1, 1, 3, 8, 5]) # an array of indices >>> a[i] # the elements of a at the positions i array([ 1, 1, 9, 64, 25]) >>> >>> j = np.array([[3, 4], [9, 7]]) # a bidimensional array of indices >>> a[j] # the same shape as j array([[ 9, 16], [81, 49]]) When the indexed array a is multidimensional, a single array of indices refers to the first dimension of a. The following example shows this behavior by converting an image of labels into a color image using a palette. >>> >>> palette = np.array([[0, 0, 0], # black ... [255, 0, 0], # red ... [0, 255, 0], # green ... [0, 0, 255], # blue ... [255, 255, 255]]) # white >>> image = np.array([[0, 1, 2, 0], # each value corresponds to a color in the palette ... [0, 3, 4, 0]]) >>> palette[image] # the (2, 4, 3) color image array([[[ 0, 0, 0], [255, 0, 0], [ 0, 255, 0], [ 0, 0, 0]], [[ 0, 0, 0], [ 0, 0, 255], [255, 255, 255], [ 0, 0, 0]]]) We can also give indexes for more than one dimension. The arrays of indices for each dimension must have the same shape. >>> >>> a = np.arange(12).reshape(3,4) >>> a array([[ 0, 1, 2, 3], [ 4, 5, 6, 7], [ 8, 9, 10, 11]]) >>> i = np.array([[0, 1], # indices for the first dim of a ... [1, 2]]) >>> j = np.array([[2, 1], # indices for the second dim ... [3, 3]]) >>> >>> a[i, j] # i and j must have equal shape array([[ 2, 5], [ 7, 11]]) >>> >>> a[i, 2] array([[ 2, 6], [ 6, 10]]) >>> >>> a[:, j] # i.e., a[ : , j] array([[[ 2, 1], [ 3, 3]], [[ 6, 5], [ 7, 7]], [[10, 9], [11, 11]]]) In Python, arr[i, j] is exactly the same as arr[(i, j)]—so we can put i and j in a tuple and then do the indexing with that. >>> >>> l = (i, j) # equivalent to a[i, j] >>> a[l] array([[ 2, 5], [ 7, 11]]) However, we can not do this by putting i and j into an array, because this array will be interpreted as indexing the first dimension of a. >>> >>> s = np.array([i, j]) # not what we want >>> a[s] Traceback (most recent call last): File "<stdin>", line 1, in <module> IndexError: index 3 is out of bounds for axis 0 with size 3 # same as a[i, j] >>> a[tuple(s)] array([[ 2, 5], [ 7, 11]]) Another common use of indexing with arrays is the search of the maximum value of time-dependent series: >>> >>> time = np.linspace(20, 145, 5) # time scale >>> data = np.sin(np.arange(20)).reshape(5,4) # 4 time-dependent series >>> time array([ 20. , 51.25, 82.5 , 113.75, 145. ]) >>> data array([[ 0. , 0.84147098, 0.90929743, 0.14112001], [-0.7568025 , -0.95892427, -0.2794155 , 0.6569866 ], [ 0.98935825, 0.41211849, -0.54402111, -0.99999021], [-0.53657292, 0.42016704, 0.99060736, 0.65028784], [-0.28790332, -0.96139749, -0.75098725, 0.14987721]]) # index of the maxima for each series >>> ind = data.argmax(axis=0) >>> ind array([2, 0, 3, 1]) # times corresponding to the maxima >>> time_max = time[ind] >>> >>> data_max = data[ind, range(data.shape[1])] # => data[ind[0],0], data[ind[1],1]... >>> time_max array([ 82.5 , 20. , 113.75, 51.25]) >>> data_max array([0.98935825, 0.84147098, 0.99060736, 0.6569866 ]) >>> np.all(data_max == data.max(axis=0)) True You can also use indexing with arrays as a target to assign to: >>> >>> a = np.arange(5) >>> a array([0, 1, 2, 3, 4]) >>> a[[1,3,4]] = 0 >>> a array([0, 0, 2, 0, 0]) However, when the list of indices contains repetitions, the assignment is done several times, leaving behind the last value: >>> >>> a = np.arange(5) >>> a[[0,0,2]]=[1,2,3] >>> a array([2, 1, 3, 3, 4]) This is reasonable enough, but watch out if you want to use Python’s += construct, as it may not do what you expect: >>> >>> a = np.arange(5) >>> a[[0,0,2]]+=1 >>> a array([1, 1, 3, 3, 4]) Even though 0 occurs twice in the list of indices, the 0th element is only incremented once. This is because Python requires “a+=1” to be equivalent to “a = a + 1”. Indexing with Boolean Arrays When we index arrays with arrays of (integer) indices we are providing the list of indices to pick. With boolean indices the approach is different; we explicitly choose which items in the array we want and which ones we don’t. The most natural way one can think of for boolean indexing is to use boolean arrays that have the same shape as the original array: >>> >>> a = np.arange(12).reshape(3,4) >>> b = a > 4 >>> b # b is a boolean with a's shape array([[False, False, False, False], [False, True, True, True], [ True, True, True, True]]) >>> a[b] # 1d array with the selected elements array([ 5, 6, 7, 8, 9, 10, 11]) This property can be very useful in assignments: >>> >>> a[b] = 0 # All elements of 'a' higher than 4 become 0 >>> a array([[0, 1, 2, 3], [4, 0, 0, 0], [0, 0, 0, 0]]) You can look at the following example to see how to use boolean indexing to generate an image of the Mandelbrot set: >>> import numpy as np import matplotlib.pyplot as plt def mandelbrot( h,w, maxit=20 ): """Returns an image of the Mandelbrot fractal of size (h,w).""" y,x = np.ogrid[ -1.4:1.4:h*1j, -2:0.8:w*1j ] c = x+y*1j z = c divtime = maxit + np.zeros(z.shape, dtype=int) for i in range(maxit): z = z**2 + c diverge = z*np.conj(z) > 2**2 # who is diverging div_now = diverge & (divtime==maxit) # who is diverging now divtime[div_now] = i # note when z[diverge] = 2 # avoid diverging too much return divtime plt.imshow(mandelbrot(400,400)) ../_images/quickstart-1.png The second way of indexing with booleans is more similar to integer indexing; for each dimension of the array we give a 1D boolean array selecting the slices we want: >>> >>> a = np.arange(12).reshape(3,4) >>> b1 = np.array([False,True,True]) # first dim selection >>> b2 = np.array([True,False,True,False]) # second dim selection >>> >>> a[b1,:] # selecting rows array([[ 4, 5, 6, 7], [ 8, 9, 10, 11]]) >>> >>> a[b1] # same thing array([[ 4, 5, 6, 7], [ 8, 9, 10, 11]]) >>> >>> a[:,b2] # selecting columns array([[ 0, 2], [ 4, 6], [ 8, 10]]) >>> >>> a[b1,b2] # a weird thing to do array([ 4, 10]) Note that the length of the 1D boolean array must coincide with the length of the dimension (or axis) you want to slice. In the previous example, b1 has length 3 (the number of rows in a), and b2 (of length 4) is suitable to index the 2nd axis (columns) of a. The ix_() function The ix_ function can be used to combine different vectors so as to obtain the result for each n-uplet. For example, if you want to compute all the a+b*c for all the triplets taken from each of the vectors a, b and c: >>> >>> a = np.array([2,3,4,5]) >>> b = np.array([8,5,4]) >>> c = np.array([5,4,6,8,3]) >>> ax,bx,cx = np.ix_(a,b,c) >>> ax array([[[2]], [[3]], [[4]], [[5]]]) >>> bx array([[[8], [5], [4]]]) >>> cx array([[[5, 4, 6, 8, 3]]]) >>> ax.shape, bx.shape, cx.shape ((4, 1, 1), (1, 3, 1), (1, 1, 5)) >>> result = ax+bx*cx >>> result array([[[42, 34, 50, 66, 26], [27, 22, 32, 42, 17], [22, 18, 26, 34, 14]], [[43, 35, 51, 67, 27], [28, 23, 33, 43, 18], [23, 19, 27, 35, 15]], [[44, 36, 52, 68, 28], [29, 24, 34, 44, 19], [24, 20, 28, 36, 16]], [[45, 37, 53, 69, 29], [30, 25, 35, 45, 20], [25, 21, 29, 37, 17]]]) >>> result[3,2,4] 17 >>> a[3]+b[2]*c[4] 17 You could also implement the reduce as follows: >>> >>> def ufunc_reduce(ufct, *vectors): ... vs = np.ix_(*vectors) ... r = ufct.identity ... for v in vs: ... r = ufct(r,v) ... return r and then use it as: >>> >>> ufunc_reduce(np.add,a,b,c) array([[[15, 14, 16, 18, 13], [12, 11, 13, 15, 10], [11, 10, 12, 14, 9]], [[16, 15, 17, 19, 14], [13, 12, 14, 16, 11], [12, 11, 13, 15, 10]], [[17, 16, 18, 20, 15], [14, 13, 15, 17, 12], [13, 12, 14, 16, 11]], [[18, 17, 19, 21, 16], [15, 14, 16, 18, 13], [14, 13, 15, 17, 12]]]) The advantage of this version of reduce compared to the normal ufunc.reduce is that it makes use of the Broadcasting Rules in order to avoid creating an argument array the size of the output times the number of vectors. Indexing with strings See Structured arrays. Linear Algebra Work in progress. Basic linear algebra to be included here. Simple Array Operations See linalg.py in numpy folder for more. >>> >>> import numpy as np >>> a = np.array([[1.0, 2.0], [3.0, 4.0]]) >>> print(a) [[1. 2.] [3. 4.]] >>> a.transpose() array([[1., 3.], [2., 4.]]) >>> np.linalg.inv(a) array([[-2. , 1. ], [ 1.5, -0.5]]) >>> u = np.eye(2) # unit 2x2 matrix; "eye" represents "I" >>> u array([[1., 0.], [0., 1.]]) >>> j = np.array([[0.0, -1.0], [1.0, 0.0]]) >>> j @ j # matrix product array([[-1., 0.], [ 0., -1.]]) >>> np.trace(u) # trace 2.0 >>> y = np.array([[5.], [7.]]) >>> np.linalg.solve(a, y) array([[-3.], [ 4.]]) >>> np.linalg.eig(j) (array([0.+1.j, 0.-1.j]), array([[0.70710678+0.j , 0.70710678-0.j ], [0. -0.70710678j, 0. +0.70710678j]])) Parameters: square matrix Returns The eigenvalues, each repeated according to its multiplicity. The normalized (unit "length") eigenvectors, such that the column ``v[:,i]`` is the eigenvector corresponding to the eigenvalue ``w[i]`` . Tricks and Tips Here we give a list of short and useful tips. “Automatic” Reshaping To change the dimensions of an array, you can omit one of the sizes which will then be deduced automatically: >>> >>> a = np.arange(30) >>> b = a.reshape((2, -1, 3)) # -1 means "whatever is needed" >>> b.shape (2, 5, 3) >>> b array([[[ 0, 1, 2], [ 3, 4, 5], [ 6, 7, 8], [ 9, 10, 11], [12, 13, 14]], [[15, 16, 17], [18, 19, 20], [21, 22, 23], [24, 25, 26], [27, 28, 29]]]) Vector Stacking How do we construct a 2D array from a list of equally-sized row vectors? In MATLAB this is quite easy: if x and y are two vectors of the same length you only need do m=[x;y]. In NumPy this works via the functions column_stack, dstack, hstack and vstack, depending on the dimension in which the stacking is to be done. For example: >>> >>> x = np.arange(0,10,2) >>> y = np.arange(5) >>> m = np.vstack([x,y]) >>> m array([[0, 2, 4, 6, 8], [0, 1, 2, 3, 4]]) >>> xy = np.hstack([x,y]) >>> xy array([0, 2, 4, 6, 8, 0, 1, 2, 3, 4]) The logic behind those functions in more than two dimensions can be strange. See also NumPy for Matlab users Histograms The NumPy histogram function applied to an array returns a pair of vectors: the histogram of the array and a vector of the bin edges. Beware: matplotlib also has a function to build histograms (called hist, as in Matlab) that differs from the one in NumPy. The main difference is that pylab.hist plots the histogram automatically, while numpy.histogram only generates the data. >>> import numpy as np rg = np.random.default_rng(1) import matplotlib.pyplot as plt # Build a vector of 10000 normal deviates with variance 0.5^2 and mean 2 mu, sigma = 2, 0.5 v = rg.normal(mu,sigma,10000) # Plot a normalized histogram with 50 bins plt.hist(v, bins=50, density=1) # matplotlib version (plot) # Compute the histogram with numpy and then plot it (n, bins) = np.histogram(v, bins=50, density=True) # NumPy version (no plot) plt.plot(.5*(bins[1:]+bins[:-1]), n) ../_images/quickstart-2.png Further reading The Python tutorial NumPy Reference SciPy Tutorial SciPy Lecture Notes A matlab, R, IDL, NumPy/SciPy dictionary © Copyright 2008-2020, The SciPy community. Last updated on Jun 29, 2020. Created using Sphinx 2.4.4.
m-clark / ConfusionMatrixReport various statistics stemming from a confusion matrix in a tidy fashion. 🎯
gorkang / BayesianReasoningR package with functions to plot and help understand Positive and Negative Predictive Values, and their relationship with Sensitivity, Specificity and Prevalence.
mkmagaya / Loacalization And Prediction Using DeepLearninglocalization and locatoion prediction with deep learning Since GPS signals can be unreliable this project uses wifi fingerprints in order to predict the location of users. Data: 19,937 training & 1111 validation datapoints with 529 attributes (wifi fingerprints) measured by 25 different android devices.Each WiFi fingerprint can be characterized by the detected Wireless Access Points (WAPs) and the corresponding Received Signal Strength Intensity (RSSI). The intensity values are represented as negative integer values ranging -104dBm (extremely poor signal) to 0dbM. The positive value 100 is used to denote when a WAP was not detected. During the database creation, 520 different WAPs were detected. Thus, the WiFi fingerprint is composed by 520 intensity values. Then the coordinates (latitude, longitude, floor) and Building ID are provided as the attributes to be predicted. Relative positioning and latitude and longitude prediction is the first step to modelling a succesfull location based ad campaign,followed by maping the actual area where the target(mobile devise to which the advert will be shown) then choosing the appropriate ad.
Samudraneel-98 / Cancer Subtype Prediction Using Multi Omics DatasetImportance of Cancer Subtype prediction: Cancer is a heterogeneous disease caused by chemical, physical, or genetic factors. Identification of cancer subtypes is of great importance to facilitate cancer diagnosis and therapy. Bioinformatics approaches have gradually taken the place of clinical observations and pathological experiments. The development of high-throughput genome analysis techniques on the research of cancer subtypes plays an important role in the analysis and clinical treatment of various kinds of cancers. Omics dataset: The process of mapping and sequencing the human genome began, new technologies have made it possible to obtain a huge number of molecular measurements within a tissue or cell. These technologies can be applied to a biological system of interest to obtain a snapshot of the underlying biology at a resolution that has never before been possible. Broadly speaking, the scientific fields associated with measuring such biological molecules in a high-throughput way are called omics.Omics are novel, comprehensive approaches for analysis of complete genetic or molecular profiles of humans and other organisms. the types of omics data that can be used to develop an omics-based test are discussed below: genomics, proteomics, transcriptomics and metabolomics. Importance of Omics Data with respect to Cancer Prediction: Accurately predicting cancer prognosis is necessary to choose precise strategies of treatment for patients. One of effective approaches in the prediction is the integration of multi-omics data, which reduces the impact of noise within single omics data. A number of methods have been proposed to integrate multi-sources data to identify cancer subtypes in recent years.Based on these types of expression data, various computational methods have been proposed to predict cancer subtypes. It is crucial to study how to better integrate these multiple profiles of data. Approaches of omics data concatenation: 1.Integrative NMF 2.Similarity Network Fusion 3.Joint Non Negative Matrix Factorization Deep Learning: Deep learning is an artificial intelligence (AI) function that imitates the workings of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Hyperparameter tuning: Hyperparameter tuning works by running multiple trials in a single training job. Each trial is a complete execution of your training application with values for your chosen hyperparameters, set within limits you specify. The AI Platform Training training service keeps track of the results of each trial and makes adjustments for subsequent trials. When the job is finished,you can get a summary of all the trials along with the most effective configuration of values according to the criteria you specify.
klimanyusuf / Combating Twitter Hate Speech Using ML And NLPUsing NLP and ML, make a model to identify hate speech (racist or sexist tweets) in Twitter. Problem Statement: Twitter is the biggest platform where anybody and everybody can have their views heard. Some of these voices spread hate and negativity. Twitter is wary of its platform being used as a medium to spread hate. You are a data scientist at Twitter, and you will help Twitter in identifying the tweets with hate speech and removing them from the platform. You will use NLP techniques, perform specific cleanup for tweets data, and make a robust model. Domain: Social Media Analysis to be done: Clean up tweets and build a classification model by using NLP techniques, cleanup specific for tweets data, regularization and hyperparameter tuning using stratified k-fold and cross validation to get the best model. Content: id: identifier number of the tweet Label: 0 (non-hate) /1 (hate) Tweet: the text in the tweet Tasks: Load the tweets file using read_csv function from Pandas package. Get the tweets into a list for easy text cleanup and manipulation. To cleanup: Normalize the casing. Using regular expressions, remove user handles. These begin with '@’. Using regular expressions, remove URLs. Using TweetTokenizer from NLTK, tokenize the tweets into individual terms. Remove stop words. Remove redundant terms like ‘amp’, ‘rt’, etc. Remove ‘#’ symbols from the tweet while retaining the term. Extra cleanup by removing terms with a length of 1. Check out the top terms in the tweets: First, get all the tokenized terms into one large list. Use the counter and find the 10 most common terms. Data formatting for predictive modeling: Join the tokens back to form strings. This will be required for the vectorizers. Assign x and y. Perform train_test_split using sklearn. We’ll use TF-IDF values for the terms as a feature to get into a vector space model. Import TF-IDF vectorizer from sklearn. Instantiate with a maximum of 5000 terms in your vocabulary. Fit and apply on the train set. Apply on the test set. Model building: Ordinary Logistic Regression Instantiate Logistic Regression from sklearn with default parameters. Fit into the train data. Make predictions for the train and the test set. Model evaluation: Accuracy, recall, and f_1 score. Report the accuracy on the train set. Report the recall on the train set: decent, high, or low. Get the f1 score on the train set. Looks like you need to adjust the class imbalance, as the model seems to focus on the 0s. Adjust the appropriate class in the LogisticRegression model. Train again with the adjustment and evaluate. Train the model on the train set. Evaluate the predictions on the train set: accuracy, recall, and f_1 score. Regularization and Hyperparameter tuning: Import GridSearch and StratifiedKFold because of class imbalance. Provide the parameter grid to choose for ‘C’ and ‘penalty’ parameters. Use a balanced class weight while instantiating the logistic regression. Find the parameters with the best recall in cross validation. Choose ‘recall’ as the metric for scoring. Choose stratified 4 fold cross validation scheme. Fit into the train set. What are the best parameters? Predict and evaluate using the best estimator. Use the best estimator from the grid search to make predictions on the test set. What is the recall on the test set for the toxic comments? What is the f_1 score?
prateekpr / HEART DISEASE ANALYSISLOGISTIC REGRESSION - HEART DISEASE PREDICTION Introduction World Health Organization has estimated 12 million deaths occur worldwide, every year due to Heart diseases. Half the deaths in the United States and other developed countries are due to cardio vascular diseases. The early prognosis of cardiovascular diseases can aid in making decisions on lifestyle changes in high risk patients and in turn reduce the complications. This research intends to pinpoint the most relevant/risk factors of heart disease as well as predict the overall risk using logistic regression Data Preparation Source The dataset is publically available on the Kaggle website, and it is from an ongoing cardiovascular study on residents of the town of Framingham, Massachusetts. The classification goal is to predict whether the patient has 10-year risk of future coronary heart disease (CHD).The dataset provides the patients’ information. It includes over 4,000 records and 15 attributes. Variables Each attribute is a potential risk factor. There are both demographic, behavioral and medical risk factors. Demographic: • Sex: male or female(Nominal) • Age: Age of the patient;(Continuous - Although the recorded ages have been truncated to whole numbers, the concept of age is continuous) Behavioral • Current Smoker: whether or not the patient is a current smoker (Nominal) • Cigs Per Day: the number of cigarettes that the person smoked on average in one day.(can be considered continuous as one can have any number of cigarettes, even half a cigarette.) Medical( history) • BP Meds: whether or not the patient was on blood pressure medication (Nominal) • Prevalent Stroke: whether or not the patient had previously had a stroke (Nominal) • Prevalent Hyp: whether or not the patient was hypertensive (Nominal) • Diabetes: whether or not the patient had diabetes (Nominal) Medical(current) • Tot Chol: total cholesterol level (Continuous) • Sys BP: systolic blood pressure (Continuous) • Dia BP: diastolic blood pressure (Continuous) • BMI: Body Mass Index (Continuous) • Heart Rate: heart rate (Continuous - In medical research, variables such as heart rate though in fact discrete, yet are considered continuous because of large number of possible values.) • Glucose: glucose level (Continuous) Predict variable (desired target) • 10 year risk of coronary heart disease CHD (binary: “1”, means “Yes”, “0” means “No”) Logistic Regression Logistic regression is a type of regression analysis in statistics used for prediction of outcome of a categorical dependent variable from a set of predictor or independent variables. In logistic regression the dependent variable is always binary. Logistic regression is mainly used to for prediction and also calculating the probability of success. The results above show some of the attributes with P value higher than the preferred alpha(5%) and thereby showing low statistically significant relationship with the probability of heart disease. Backward elimination approach is used here to remove those attributes with highest P-value one at a time followed by running the regression repeatedly until all attributes have P Values less than 0.05. Feature Selection: Backward elimination (P-value approach) Logistic regression equation P=eβ0+β1X1/1+eβ0+β1X1P=eβ0+β1X1/1+eβ0+β1X1 When all features plugged in: logit(p)=log(p/(1−p))=β0+β1∗Sexmale+β2∗age+β3∗cigsPerDay+β4∗totChol+β5∗sysBP+β6∗glucoselogit(p)=log(p/(1−p))=β0+β1∗Sexmale+β2∗age+β3∗cigsPerDay+β4∗totChol+β5∗sysBP+β6∗glucose Interpreting the results: Odds Ratio, Confidence Intervals and P-values • This fitted model shows that, holding all other features constant, the odds of getting diagnosed with heart disease for males (sex_male = 1)over that of females (sex_male = 0) is exp(0.5815) = 1.788687. In terms of percent change, we can say that the odds for males are 78.8% higher than the odds for females. • The coefficient for age says that, holding all others constant, we will see 7% increase in the odds of getting diagnosed with CDH for a one year increase in age since exp(0.0655) = 1.067644. • Similarly , with every extra cigarette one smokes thers is a 2% increase in the odds of CDH. • For Total cholesterol level and glucose level there is no significant change. • There is a 1.7% increase in odds for every unit increase in systolic Blood Pressure. Model Evaluation - Statistics From the above statistics it is clear that the model is highly specific than sensitive. The negative values are predicted more accurately than the positives. Predicted probabilities of 0 (No Coronary Heart Disease) and 1 ( Coronary Heart Disease: Yes) for the test data with a default classification threshold of 0.5 lower the threshold Since the model is predicting Heart disease too many type II errors is not advisable. A False Negative ( ignoring the probability of disease when there actually is one) is more dangerous than a False Positive in this case. Hence in order to increase the sensitivity, threshold can be lowered. Conclusions • All attributes selected after the elimination process show P-values lower than 5% and thereby suggesting significant role in the Heart disease prediction. • Men seem to be more susceptible to heart disease than women. Increase in age, number of cigarettes smoked per day and systolic Blood Pressure also show increasing odds of having heart disease • Total cholesterol shows no significant change in the odds of CHD. This could be due to the presence of 'good cholesterol(HDL) in the total cholesterol reading. Glucose too causes a very negligible change in odds (0.2%) • The model predicted with 0.88 accuracy. The model is more specific than sensitive. Overall model could be improved with more data
aiok03 / Final MiningDescriptive statistics and Explanatory data analysis In order to have an idea of the received data, we look through our table transactions and train. The shape of the train is 6000 rows and 2 columns (client_id and target – gender). Also we considered the info of transactions and noticed that there are no empty values, all of them are equal to 130039. After that we merged two tables and called it as data. To display unique codes and types we used ‘unique’ function and noticed that unique codes 173 and unique types 61. Using ‘describe’ function we can see minimal code, type, sum and the same parameters but maximum. The first hypothesis was to find what gender makes lots of requests. For conveniency we used for loop to make values in percentile view. And according to the barplot the biggest number of processes are made by females. The second hypothesis was to find the code with the biggest sum. For that we grouped by code and counted the mean of all sums. This list we converted from series to frame for further working process. The problem was that the code interpreted the code as the index, that’s why we have to fix it with ‘reset_index’ function. After that we plotted the graph and noticed that the most high sum is with 4722 code and proved it with another code under the graph. The third hypothesis is to find the distribution of sums relatively to the gender. But the first graph didn’t replaced this information because the scatter of the data is too high. The sign is not normally distributed and it is not symmetrical. It is hard to asses, that’s why we grouped information by gender and counted mean of the sum. According to this information we noticed that males spend more money than women. The same process we made with median and got the same conclusion. And since the mean and median values are not equal, our assumption about unnormalized data was proved. The last hypothesis was to find number of clients for each type and code – to find the most popular request within clients. For that we applied ‘str’ to each parameter for correct visualization on the graph. Counted the number of each request for type and code and reflected it in the graphs. According to them the most popular is 1010 type and 6011 code. Lastly, for further working process we returned type and code to the int type. Feature engineering Client’s balance condition We took every sum from dataframe data, grouped for every client and found the sum for each of them. We calculated the income and expenses for each client. Some clients with minus value made more expenses, some of them not, that means that he got more income. In minus is 0, in plus is 1. RFM In RFM section we started from Recency. For each client we grouped the information about them and found the maximum date where the transaction was done. The datetime column consisted from two values – date and time, for further working process in future engineering section we divided them for different columns. The most recent day we equaled to 457 and according to this value started to count the recency of last transactions for each client by subtraction. The next step is Frequency. We used ‘group by’ function and counted appearance of each client in our database. The last step is Monetary (to count expenses). Using group by function and condition, where the sum is less than 0 (expenses are negative values), we counted the total expenses of each client and noticed one point. That some clients didn’t spend any money at all. Segmentation based on RFM We merged all the tables into one and made a rank according to the best values in each segment using percentage. Using the formula we divided clients by 5 score scale, by this database and elbow method, plotted the graph, where 3 clusters were optimal solution. With KMeans library we plotted the k-mean illustration of clients according to the distance from randomly chosen centroids, showed distribution of clients in clusters. After the work done we gathered basic table with clusters using prefixes to each of them. Clustering for codes Now we'll work with codes to create clustering codes, and we'll utilize TF IDF and k-means to do it. We will also employ limitization, tokenization, and stop word elimination. We import the pymorphy2 library for limiting, and limiting is when words take their original form. Tokenization by sentences is the process of dividing a written language into component sentences. We also need to delete stop words, a stop word is a commonly used word (such as “the”, “a”, “an”, “in”) that a search engine has been programmed to ignore, both when indexing entries for searching and when retrieving them as the result of a search query. We would not want these words to take up space in our database, or taking up valuable processing time. We also make use of the re – Regular expression operations library, which is a library for regular expression operations. In this section we also use MorphAnalyzer() - Morphological analysis is the identification of a word's features based on how it is spelt. Morphological analysis does not make use of information about nearby words. For morphological analysis of words, there is a MorphAnalyzer class in pymorphy2. If we apply directly the clustering on those matrix, we will have issues as our matrices are very sparse and the computation of distances will be a mess. What we can do, is to perform IS to reduce data to a dense matrix of dimension 156 by applying SVD. Singular Value Decomposition (SVD) is one of the widely used methods for dimensionality reduction. We defined that 156 is the right number in our case. We used the Silhouette score to evaluate the quality of clusters created using K-Means. By Silhouette score we chose number of clusters and performed k means clustering on our tf-idf matrix. Then we tried to do a visualization of our clusters and we applied t-sne . t-SNE is a tool to visualize high-dimensional data. And then we added clusters to data and df dataframe. Finally we created word cloud by our clusters Clustering for types Data cleaning for types Firstly, we noticed that there were 155 types. However in data, there are 61 types. When we merge the data and that types, the total number of types become 58. This means that 3 types have no any description and that’s why we replace them with the mode value. Also we found that some types have type description ‘н.д’ which means no data and their total number in data is 26. Also we noticed that type description repeats for several types and we dropped duplicates and replaced them with first accurancy type in data. Creating clusters for types We manually divided them into the 5 categories according to dome key words in description. And merged them with our dataframe. Then we noticed outliers in recency and frequency. We found 0.999 and 0.001 quantile, where the first one is considered as the high, and the second is the low boundary. Everything above 0,999 and below 0.001 is considered as an outlier. We removed them for both recency and frequency. After that we checked dataframe by describe and concluded that everything become normal. Supervised learning The time for prediction came. We divided our dataframe into train and test and used KNN, Decision Tree Classifier and Random Forest, Logistic Regression for further predictions. We decided to investigate the accuracy from 1 to 20 with step 2 for each neighbor in train and test. And built the plot. The best result is accuracy 58 for 19 neighbors. Decision Tree gave us 54 for test set and Random Forest’s accuracy was 64. We investigated feature importance for both of them and noticed that monetary had the most influence on predicting the data. For Grid Search we manually set the hyper parameters and for cross validation equals to four folds. Best estimater for random forest classifier for grid search was found. After that good estimaters were chosen for random forest, and the same accuracy occurred. Best accuracy for random forest with default hyper parameters. We built confusion matrix and calculated recall, precision and f-1 score. Also we decided to build lofistic regression but the accuracy was too small, that’s why we build roc-auc and precision-recall curve. Conclusion All the models showed that taken data was not enough and actually not the best for gender prediction. Actions for increase the accuracy were done, such as adding more features, removing outliers. According to this investigation the best choice was random forest.
burakdogrul / Cltv Via Bg Nbd GammagammaPredicting Customer Life Time Value (CLTV) via Beta Geometric / Negative Binominal Distribution (BG/NBD) and Gamma Gamma Model
