Unlike the causal diagrams we will deal with throughout the book, a Bayesian network carries no assumption that the arrow has any causal meaning. The arrow merely signifies that we know the “forward” probability, P(scones | tea) or P(test | disease). Bayes’s rule tells us how to reverse the procedure, for example by multiplying the prior odds by a likelihood ratio.
