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Probabilistic Causal Interaction

Published online by Cambridge University Press:  01 April 2022

Ellery Eells
Ellery Eells*
Affiliation:
Department of Philosophy, University of Wisconsin-Madison
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Abstract

It is possible for a causal factor to raise the probability of a second factor in some situations while lowering the probability of the second factor in other situations. Must a genuine cause always raise the probability of a genuine effect of it? When it does not always do so, an “interaction“ with some third factor may be the reason. I discuss causal interaction from the perspectives of Giere's counterfactual characterization of probabilistic causal connection (1979, 1980) and the “contextual unanimity” model developed by, among others, Cartwright (1979) and Skyrms (1980). I argue that the contextual unanimity theory must exercise care, in a new way that seems to have gone unnoticed, in order to adequately accommodate the phenomenon, and that the counterfactual theory must be substantially revised; although it will still, pending clarification of a second kind of revision, be unable to accommodate a kind of interaction exemplified in cases like those described by Sober (1982).

Type
Research Article
Information
Philosophy of Science , Volume 53 , Issue 1 , March 1986 , pp. 52 - 64
Copyright
Copyright © The Philosophy of Science Association 1986

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Footnotes

†

I thank Elliott Sober and an anonymous referee of this journal for useful comments on earlier drafts of this paper, and the University of Wisconsin-Madison Graduate School for financial support.

References

Cartwright, N. (1979), “Causal Laws and Effective Strategies”, Noûs 13: 419–37.CrossRefGoogle Scholar
Collier, J. (1983), “Frequency-Dependent Causation: A Defense of Giere”, Philosophy of Science 50: 618–25.CrossRefGoogle Scholar
Eells, E., and Sober, E. (1983), “Probabilistic Causality and the Question of Transivity”, Philosophy of Science 50: 35–57.CrossRefGoogle Scholar
Giere, R. (1979), Understanding Scientific Reasoning. New York: Holt, Rinehart and Winston.Google Scholar
Giere, R. (1980), “Causal Systems and Statistical Hypotheses”, in Applications of Inductive Logic, Cohen, L. Jonathan (ed.). New York: Oxford University Press.Google Scholar
Giere, R. (1984), “Causal Models with Frequency Dependence”, Journal of Philosophy 81: 384–91.CrossRefGoogle Scholar
Skyrms, B. (1980), Causal Necessity. New Haven and London: Yale University Press.Google Scholar
Sober, E. (1982), “Frequency-Dependent Causation”, Journal of Philosophy 79: 247–53.CrossRefGoogle Scholar
Sober, E. (1984a), The Nature of Selection. Cambridge: The MIT Press/A Bradford Book.Google Scholar
Sober, E. (1984b), “Discussion: What Would Happen If Everyone Did It?”, Philosophy of Science 52: 141–50.Google Scholar
Suppes, P. (1970), A Probabilistic Theory of Causality. Amsterdam: North-Holland.Google Scholar