In Part I of ‘Causality and Determination” (CD), Anscombe writes that (1) we understand causality through understanding specific causal expressions, (2) efficient causation can be perceived, (3) “causality consists in the derivativeness of an effect from its causes”, and 4) no “analysis in terms of necessity or universality” has a place for this. Theses (1) and (2) represent fundamental and important insights. (3) is unsatisfactory; for, taken in a sense that does not already build on the general notion of causation, (...) deriving from does little to elucidate this notion. CD is however right to urge the need to identify a “core, the common feature, of causality in its various kinds”—a kind of criterion, such as the one suggested by Makin (2000), that takes account of (4) in that it is more substantial than, but does not entail, “necessity or universality”. What CD seems to underestimate is the important role of regularities, possibly neither necessary nor exceptionless, for our understanding of the causal relation. Finally, such understanding also requires us, not only to rely on a common criterion of causation, but also on a subjective component of this idea: the consciousness of our own causal agency. Anscombe’s own investigations into non-observational practical knowledge open the door to the study of this aspect of causality. (shrink)

Elizabeth Anscombe’s classic paper Causality and Determination claims that causation can be perceived. It also defends causal singularism, the idea that the causal relation is fundamentally between the particular cause and effect, and does not depend on regularities holding elsewhere in the universe. But does the former furnish an argument for the latter? The present paper analyses a special type of causal experience involving emotional reactions to present stimuli; for instance, being frightened by a spider. It argues that such experiences (...) are strongly local, in the sense that they justify belief in a local causal relation independently of our knowledge about events elsewhere in the universe. If this analysis is correct, Humean regularity theories of causation are false; and all other non-singularist theories of causation face a difficult explanatory challenge. This means that the case for causal singularism comes out considerably strengthened. (shrink)

Causal modeling methods such as path analysis, used in the social and natural sciences, are also highly relevant to philosophical problems of probabilistic causation and statistical explanation. We show how these methods can be effectively used (1) to improve and extend Salmon's S-R basis for statistical explanation, and (2) to repair Cartwright's resolution of Simpson's paradox, clarifying the relationship between statistical and causal claims.