 Stepping back from the issues (such as the status of the high probability requirement) that have dominated discussions of statistical explanation, there are several more general issues that deserve mention. One is that these models have been applied to a range of examples that seem prima-facie to be quite different, including quantum mechanical examples (e.g., radioactive decay) but also more ordinary examples such as recovery from disease and (to use an example of Salmon’s) causes of juvenile delinquency. Radioactive decay is a process that is usually taken to be irreducibly indeterministic and hence is the sort of thing that Salmon’s objective homogeneity requirement is designed to capture. By contrast, although the evidence for many models of juvenile delinquency comes from population level statistics these models do not assume that delinquency is the outcome of an irreducibly indeterministic process (and the models themselves are very far from satisfying an objective homogeneity requirement). Indeed, taken literally, standard causal models assume the opposite: the assumed equations are deterministic with the stochastic element supplied by an “error term”. This raises the question of whether it is sensible to look for a single model that captures all of these examples.