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Sober's Principle of Common Cause and The Problem of Comparing Incomplete Hypotheses

Published online by Cambridge University Press:  01 April 2022

Malcolm R. Forster
Malcolm R. Forster*
Affiliation:
Department of Philosophy University of Wisconsin—Madison
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Abstract

Sober (1984) has considered the problem of determining the evidential support, in terms of likelihood, for a hypothesis that is incomplete in the sense of not providing a unique probability function over the event space in its domain. Causal hypotheses are typically like this because they do not specify the probability of their initial conditions. Sober's (1984) solution to this problem does not work, as will be shown by examining his own biological examples of common cause explanation. The proposed solution will lead to the conclusion, contra Sober, that common cause hypotheses explain statistical correlations and not matchings between event tokens.

Type
Research Article
Information
Philosophy of Science , Volume 55 , Issue 4 , December 1988 , pp. 538 - 559
Copyright
Copyright © 1988 by the Philosophy of Science Association

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Footnotes

†

I am very grateful to Elliott Sober for extensive correspondence on these issues. Some crucial mistakes were corrected in an earlier draft, thanks to Nancy Cartwright. A substantial part of this work was carried out under a University Post-Doctoral Fellowship at Monash University, Australia.

References

REFERENCES

Bell, J. S. (1964), “On the Einstein-Podolsky-Rosen Paradox”, Physics 1: 195–200.Google Scholar
Cartwright, N. (1983), How the Laws of Physics Lie. Oxford: Clarendon Press.10.1093/0198247044.001.0001CrossRefGoogle Scholar
Eaton, M. L. (1983), Multivariate Statistics: A Vector Space Approach. New York: John Wiley & Sons.Google Scholar
Edwards, A. (1972), Likelihood. Cambridge: Cambridge University Press.Google Scholar
Forster, M. R. (1986a), “Unification and Scientific Realism Revisited”, in A. Fine and P. Machamer (eds.), PSA 1986, vol. 1. East Lansing, Mich.: Philosophy of Science Association, pp. 394–405.Google Scholar
Forster, M. R. (1986b), “Statistical Covariance as a Measure of Phylogenetic Relationship”, Cladistics 2: 297–317.10.1111/j.1096-0031.1986.tb00454.xCrossRefGoogle Scholar
Reichenbach, H. (1956), The Direction of Time. Berkeley and Los Angeles: University of California Press.10.1063/1.3059791CrossRefGoogle Scholar
Salmon, W. (1980), “Probabilistic Causality”, Pacific Philosophical Quarterly 61: 59–74.Google Scholar
Smart, J. J. C. (1963), Philosophy and Scientific Realism. London: Routledge and Kegan Paul.Google Scholar
Smart, J. J. C. (1985), “Laws of Nature and Cosmic Coincidences”, The Philosophical Quarterly 35: 272–280.10.2307/2218906CrossRefGoogle Scholar
Sober, E. (1984), “Common Cause Explanation”, Philosophy of Science 51: 212–241.10.1086/289178CrossRefGoogle Scholar
van Fraassen, B. (1980), The Scientific Image. Oxford: Clarendon Press.10.1093/0198244274.001.0001CrossRefGoogle Scholar
van Fraassen, B. (1982), “The Charybdis of Realism: Epistemological Implications of Bell's Inequality”, Synthese 52: 25–38.10.1007/BF00485253CrossRefGoogle Scholar