This innocent-looking equation came to be known as “Bayes’s rule.” If we look carefully at what it says, we find that it offers a general solution to the inverse-probability problem. It tells us that if we know the probability of S given T, P(S | T), we ought to be able to figure out the probability of T given S, P(T | S), assuming of course that we know P(T) and P(S).
