 Unlike Hempel, Salmon did not regard statistical explanation as somewhat incomplete compared to deductive explanation, taken as the optimum. By contrast, his approach to explanation takes statistical generalizations to be the general case, with explanations making use of universal generalizations as a special case. A pivotal role is assigned to the notion of relevance, more particularly statistical relevance, placed at the core of the Statistical-Relevance (or S-R) model. Equal importance is assigned to causality interpreted in a probabilistic fashion. By the Seventies, probabilistic causality had already attracted the attention of a number of authors including Hans Reichenbach (see Reichenbach 1956); building on this work Salmon intended to revive the mechanistic ideal of explanation, convinced that the time had come to put the “cause” back into “because”.