> Otherwise there's no way to even consider getting a grasp of what P(H) would be. That's called picking a prior. Usually, pick the prior that maximizes the en

> Otherwise there's no way to even consider getting a grasp of what P(H) would be. That's called picking a prior. Usually, pick the prior that maximizes the entropy on the given interval (zero prior knowledge). For those reading and confused. Computing: p(H|x) = p(x|H)p(H)/p(x) requires p(H) which the parent is suggesting is impossible to grasp. If we want to know the probability that a coin is biased, we can assign probabilities to each hypothesis. For some people, p(bias=1/2)=1 (Dirac distribution), others might argue that p(bias=x)=1 for x in [0,1] (uniform distribution). Others might argue its some Beta function centered around 1/2. I believe what the parent is suggesting is that choosing which original belief we have in the system is a matter of philosophy, not computation.