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Sayre's Statistical Model of Causal Relations

Published online by Cambridge University Press:  01 April 2022

Douglas Shrader Jr.
Douglas Shrader Jr.*
Affiliation:
University of Illinois at Chicago Circle
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Extract

In a recent article [1], Kenneth Sayre presents what he takes to be an alternative to Salmon and Reichenbach's screening-off model of causal relations. His statistical model, based on communication theory, supposedly “has the added advantage of distinguishing cause and effect without reference to temporal distinction” (p. 203 abstract, cf. 212–213). Unfortunately his model falls far short of this grand claim, faltering before the same sort of examples I had previously used to assail the screening-off model [2].

Type
Discussion
Information
Philosophy of Science , Volume 45 , Issue 4 , December 1978 , pp. 630 - 632
Copyright
Copyright © Philosophy of Science Association 1978

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References

[1] Sayre, K. M. “Statistical Models of Causal Relations.” Philosophy of Science 44 (1977): 203–214.CrossRefGoogle Scholar
[2] Shrader, D. W. “Causation, Explanation, and Statistical Relevance.” Philosophy of Science 44 (1977): 136–145.CrossRefGoogle Scholar