A Bayes act minimizes ∫L(θ,a)Π(dθ) for a specified parameter distribution Π. Applying the same minimization to the posterior after observing data gives a Bayes decision rule. The optimal data-based Bayes risk is the expectation of the optimal posterior no-data loss.