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Frequency-Dependent Causation: A Defense of Giere
Published online by Cambridge University Press: 01 April 2022
Abstract
Ronald Giere's analysis of causal effectiveness in populations involves the comparison of two hypothetical populations, one in which every individual has the suspected causal factor, and the other in which none do. Elliott Sober has argued that in cases where causal effectiveness depends on relative population sizes, Giere's analysis breaks down. I take issue with this claim, and argue to the contrary that Giere's analysis can help provide insight into these cases.
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- Research Article
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- Copyright © Philosophy of Science Association 1983
Footnotes
I am grateful to Elliott Sober, Ronald Giere, and Tom Hurka for comments and criticisms on an earlier version of this paper.
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