Abstract

Supplements the statistical‐relevance model of scientific explanation with causal components. Some S‐R relationships can be explained by reference to spatiotemporally continuous causal connections. In this context, it is crucial to distinguish genuine causal processes – those with the ability to transmit marks – from pseudoprocesses. Other S‐R relationships are explained terms of common causes. It introduces causal processes and the common cause principle, and it presents the strategy for incorporating causal considerations into the theory of scientific explanation, while making it seem natural to appeal to unobserved or unobservable entities.