If you plug your data into Bayes' Theorem below, what does it predict?
P(A | B) = P(B | A). P(A)/P(B)
ETA: P(A | B) = probability that you die in a car accident given that your friend did
P(B | A) = probability that your friend died in a car accident if you die in a car accident in the future
P(A) = probability that you die in a car accident
P(B) = probability that your friend died in a car accident
P(B | A) = 0 and P(B) = 1 so P(A | B) = 0.P(A) = 0
P(A) remains whatever it is, independent of whatever happened to your friend.
P(A | B) = P(B | A). P(A)/P(B)
ETA: P(A | B) = probability that you die in a car accident given that your friend did
P(B | A) = probability that your friend died in a car accident if you die in a car accident in the future
P(A) = probability that you die in a car accident
P(B) = probability that your friend died in a car accident
P(B | A) = 0 and P(B) = 1 so P(A | B) = 0.P(A) = 0
P(A) remains whatever it is, independent of whatever happened to your friend.
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