We develop a convenient, quantitative measure of the sampling efficiency of equilibrium Monte Carlo algorithms. This measure, based on information theoretic methods, is optimized by independent random sampling. We illustrate present developments with selected numerical examples. (C) 1997 Elsevier Science B.V.