Consider a random event with probability . Consider a condition , which is also a random variable taking values in some space , and upon which depends. That is, may different from for different values .
Assume that the current a priori probability of the Event is extremely small. We know further nothing about the distribution of , but we are looking for favourable conditions such that the probability of being sufficiently larger than the a priori probability, namely at least .
What can we say about the probability of the probability of being increased in this way? That is, investigate .
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Answer. At most 1 0 1 .
Solution. I shall compute more generally. Let
E q : = { c ∈ Ω : P [ E ∣ C = c ] ≥ q } .
The event is measurable, but I won’t go into the formalities. One computes using condition probabilities (this is well defined in Measure theory under very natural circumstances):
[ t ] r c l p = P [ E ] = ≥ ≥ = ∫ c ∈ Ω P [ E ∣ C = c ] d P C ( c ) ∫ c ∈ E q P [ E ∣ C = c ] d P C ( c ) ∫ c ∈ E q q d P C ( c ) since P [ E ∣ C = c ] ≥ q on E q q ⋅ P C [ E q ] .
Hence P C [ E q ] ≤ q p . Thus in general we have
For our particular problem, q = 1 0 ⋅ p , hence the sought out probability is at most 1 0 p p = 1 0 1 .