And this is Bayes’ theorem. It says that the probability of any particular value of p, considering the data, is equal to the product of the relative plausibility of the data, conditional on p, and the prior plausibility of p, divided by this thing Pr(W, L), which I’ll call the average probability of the data. In word form: Posterior = Probability of the data × Prior Average probability of the data
