 Hans Reichenbach, in his analysis of the interaction of causality and probability (Reichenbach 1956), observed that the immediate causes of an event probabilistically screen off from that event any other event that is not causally posterior to it. This means that, given the immediate causal antecedents of an event, the occurrence of that event is rendered probabilistically independent of any information about non-posterior events. When this insight is applied to the nonmonotonic logic of extreme probabilities, we can use causal information to identify which defaults function independently of others: that is, we can decide when the fact that one default conditional has an exception is irrelevant to the question of whether a second conditional is also violated (see Koons 2000, 320–323). In effect, we have a selective version of Independence of Defaults that is grounded in causal information, enabling us to dissolve the Drowning Problem.