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Error Statistics and Duhem's Problem
Gregory R. Wheeler
Philosophy of Science
Vol. 67, No. 3 (Sep., 2000), pp. 410-420
Stable URL: http://www.jstor.org/stable/188625
Page Count: 11
You can always find the topics here!Topics: Philosophy of science, Errors in statistics, Statistical relevance model, Empirical evidence, Statistical models, Probabilities, Blame, Tidal friction, Milk, Learning
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No one has a well developed solution to Duhem's problem, the problem of how experimental evidence warrants revision of our theories. Deborah Mayo proposes a solution to Duhem's problem in route to her more ambitious program of providing a philosophical account of inductive inference and experimental knowledge. This paper is a response to Mayo's Error Statistics (ES) program, paying particular attention to her response to Duhem's problem. It turns out that Mayo's purported solution to Duhem's problem is very significant to her project, for the epistemic license claimed by ES and the philosophical underpinnings to her account of experimental knowledge depend on this solution. By introducing the partition problem, I argue that ES fails to solve Duhem's problem and therefore fails to provide an adequate account of experimental knowledge.
Philosophy of Science © 2000 The University of Chicago Press