Probability and the Explanatory Virtues

British Journal for the Philosophy of Science 66 (3):591-604 (2015)
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Abstract

Recent literature in philosophy of science has addressed purported notions of explanatory virtues—‘explanatory power’, ‘unification’, and ‘coherence’. In each case, a probabilistic relation between a theory and data is said to measure the power of an explanation, or degree of unification, or degree of coherence. This essay argues that the measures do not capture cases that are paradigms of scientific explanation, that the available psychological evidence indicates that the measures do not capture judgements of explanatory power, and, finally, that the measures do not provide useful methods for selecting hypotheses. 1. Introduction2. Some Proposed Measures of Explanatory Virtues3. Descriptive Inadequacy3.1 Excellent but false explanations3.2 Causal explanation4. Psychological Inadequacy5. Finding the Truth6. Conclusion

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Clark Glymour
Carnegie Mellon University

Citations of this work

Bayesian Philosophy of Science.Jan Sprenger & Stephan Hartmann - 2019 - Oxford and New York: Oxford University Press.
Experimental Philosophy of Science.Edouard Machery - 2016 - In Wesley Buckwalter & Justin Sytsma, Blackwell Companion to Experimental Philosophy. Malden, MA: Blackwell. pp. 473–490.
Coherence-based measures of explanatory power.Stephan Hartmann & Borut Trpin - 2026 - Philosophical Studies 183 (6):1817-1843.
On the Evidential Import of Unification.Wayne C. Myrvold - 2017 - Philosophy of Science 84 (1):92-114.

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