Triangulation, incommensurability, and conditionalization

Philosophy of Science (forthcoming)
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Abstract

We present a new justification for methodological triangulation (MT), the practice of using different methods to support the same scientific claim. Unlike existing accounts, our account captures cases in which the different methods in question are associated with, and rely on, incommensurable theories. Using a nonstandard Bayesian model, we show that even in such cases, a commitment to the minimal form of epistemic conservatism, captured by the rigidity condition that stands at the basis of Jeffrey’s conditionalization, supports the practice of MT.

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Ittay Nissan-Rozen
Hebrew University of Jerusalem

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References found in this work

Probability and the Art of Judgment.Richard C. Jeffrey - 1992 - New York: Cambridge University Press.
The Incommensurability Thesis.Howard Sankey - 1994 - Abingdon: Taylor and Francis.
The Structure of Scientific Revolutions.Thomas Kuhn - 1962 - In Michael Ruse (ed.), Philosophy After Darwin: Classic and Contemporary Readings. Princeton University Press. pp. 176-177.
Learning from experience and conditionalization.Peter Brössel - 2023 - Philosophical Studies 180 (9):2797-2823.
Independent evidence about a common cause.Elliott Sober - 1989 - Philosophy of Science 56 (2):275-287.

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