Jacob Bernoulli, Binomial Distribution, Probability, Central Limit Theorem, Deep Dives.
to understand inverse probability is to look at the true fraction of black tickets p as the cause that is ‘causing’ the effect of observing X_bar_n/n fraction of black tickets in a random sample of size n. For each observed value of X_bar_n, there are an infinite number of possible values for p.