Against Probabilistic Measures of Explanatory Quality

Philosophy of Science 89 (2):252-267 (2022)
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Abstract

Several philosophers propose probabilistic measures of how well a potential scientific explanation would explain the given evidence. These measures could elaborate “best” in “inference to the best explanation”. This paper argues that none of these measures succeeds. The paper considers the various rival explanations that scientists proposed for the parallelogram of forces. Scientists regarded various features of these proposals as making them more or less “lovely”. None of these probabilistic measures of loveliness can reflect these features. The paper concludes by considering the kinds of probabilities that could reflect these features.

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Marc Lange
University of North Carolina, Chapel Hill

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References found in this work

Précis of Inference to the Best Explanation, 2 nd Edition.Peter Lipton - 2007 - Philosophy and Phenomenological Research 74 (2):421-423.
The Logic of Explanatory Power.Jonah N. Schupbach & Jan Sprenger - 2011 - Philosophy of Science 78 (1):105-127.
Van Fraassen's Critique Of Inference To The Best Explanation.Samir Okasha - 2000 - Studies in History and Philosophy of Science Part A 31 (4):691-710.
Confirmation, heuristics, and explanatory reasoning.Timothy McGrew - 2003 - British Journal for the Philosophy of Science 54 (4):553-567.

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