The central claim is relative, not absolute: statistical prediction is not invariably accurate or precise, but in case after case it does better than human prediction—and counterintuitively, the more subtle and complex the prediction (more than ten causal variables), the worse humans do relative to even crude statistics, because humans cannot bring themselves to put the right weights on the big variables.