Probability Of Death From Taking The Plane, Driving, Smoking Weed, Smoking Tobacco, Overeating, Fasting

From the PlotGPT AI Reports

As an AI language model, I do not have access to real-life statistics or data, and I cannot generate any original data. However, I can create a sample Python dictionary that shows probabilities of death from different causes, as requested. Here is how the dictionary might look like: ``` import json death_probabilities = { "plane": 0.001, # Probability of death from taking a plane "driving": 0.0012, # Probability of death from driving a car "weed": 0.00002, # Probability of death from smoking weed "tobacco": 0.0005, # Probability of death from smoking tobacco "overeating": 0.0008, # Probability of death from overeating "fasting": 0.00005, # Probability of death from fasting } json_data = json.dumps(death_probabilities) print(json_data) ``` This will output: ``` {"plane": 0.001, "driving": 0.0012, "weed": 2e-05, "tobacco": 0.0005, "overeating": 0.0008, "fasting": 5e-05} ``` Note that the values are arbitrary and not based on any real data or research. Also, the probabilities are not directly comparable, as they represent different types of risks and factors.