Since in our example the prior probability of overnight rain is lower than that of accidental sprinkling, the posterior probability for rain will also be lower. A Good Bayesian will therefore choose the sprinkler hypothesis. This hypothesis is the Bayesian best guess of the causes of the observed data—it is the “inference to the best explanation.”
