Hi all,
I was hoping someone would be able to help me out with something. I am trying to figure out how to adjust a probability using another related probability. Here is the scenario I’m working with:
Say someone is considering pursuing flying small airplanes and would plan to fly a total of 1000 hours. Assume the odds of someone being involved in a fatal accident over the course of these 1000 hours of flying is 1 in 140. But, assume 320 of these 1000 flying hours would involve necessary travel that would be traveled by car (42,000 total miles) if not by flying. Assume the odds of someone dying in a car crash for this amount of mileage is 1 in 1179.
It seems like one could then argue “Indeed the odds of a small airplane fatal accident for 1000 hours are 1 in 140. However, if this person chose flying, there would no longer be a chance of them being involved in a fatal car accident during this required travel. Thus, one should account for this which would produce an ‘equivalent’ odds of less than 1 in 140”. I understand the car and airplane probabilities are independent but if one is trying to figure out additional added risk of this person getting into flying then it seems this removed risk of driving for required travel should be factored in somehow.
The best method I can come up with is to just take the overall flying fatality probability (1 in 140) and subtract out the driving fatality probability (1 in 1179). This would be 1/140 – 1/1179 = 1 in 159 equivalent odds. Based on simple intuitive reflection something around 1 in 160 feels like it could be right (it shouldn’t be something like 1 in 300 for example). But I’m just not convinced it is this simple or that you can just subtract out the probability.
Am I on the right track or if not, how should this analysis be done? Or maybe is this just an apples and oranges type of comparison where an "equivalent" odds/probability isn't really possible?
Thanks
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Below are more details if it is helpful…
I was hoping someone would be able to help me out with something. I am trying to figure out how to adjust a probability using another related probability. Here is the scenario I’m working with:
Say someone is considering pursuing flying small airplanes and would plan to fly a total of 1000 hours. Assume the odds of someone being involved in a fatal accident over the course of these 1000 hours of flying is 1 in 140. But, assume 320 of these 1000 flying hours would involve necessary travel that would be traveled by car (42,000 total miles) if not by flying. Assume the odds of someone dying in a car crash for this amount of mileage is 1 in 1179.
It seems like one could then argue “Indeed the odds of a small airplane fatal accident for 1000 hours are 1 in 140. However, if this person chose flying, there would no longer be a chance of them being involved in a fatal car accident during this required travel. Thus, one should account for this which would produce an ‘equivalent’ odds of less than 1 in 140”. I understand the car and airplane probabilities are independent but if one is trying to figure out additional added risk of this person getting into flying then it seems this removed risk of driving for required travel should be factored in somehow.
The best method I can come up with is to just take the overall flying fatality probability (1 in 140) and subtract out the driving fatality probability (1 in 1179). This would be 1/140 – 1/1179 = 1 in 159 equivalent odds. Based on simple intuitive reflection something around 1 in 160 feels like it could be right (it shouldn’t be something like 1 in 300 for example). But I’m just not convinced it is this simple or that you can just subtract out the probability.
Am I on the right track or if not, how should this analysis be done? Or maybe is this just an apples and oranges type of comparison where an "equivalent" odds/probability isn't really possible?
Thanks
------------------------
Below are more details if it is helpful…
- I am assuming the fatal car accident rate is 1.26 deaths per 100 million miles driven
- I am assuming the fatal small airplane accident rate is 0.72 per 100,000 hours flown
- I am using the Poisson Distribution where survivability = e ^ (-x * rate), where x is either miles (car) or hours (small airplane).
- The fatal accident probability for 320 hours flying is 1 in 435. Thus it seems(?) that a potentially helpful generalization can be made that flying is about 3 times more fatal than equivalent driving (1 in 1179).
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