Measurement of Statistical Evidence: Picking Up Where Hacking and Others Left Off

Philosophy of Science 84 (5):853-865 (2017)
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Hacking’s Law of Likelihood says—paraphrasing—that data support hypothesis H1 over hypothesis H2 whenever the likelihood ratio for H1 over H2 exceeds 1. But Hacking later noted a seemingly fatal flaw in the LR itself: it cannot be interpreted as the degree of “evidential significance” across applications. I agree with Hacking about the problem, but I do not believe the condition is incurable. I argue here that the LR can be properly calibrated with respect to the underlying evidence, and I sketch the rudiments of a methodology for so doing.



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Veronica J. Vieland
Ohio State University

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Probability and the Weighing of Evidence.I. J. Good - 1950 - Philosophy 26 (97):163-164.
Likelihood. [REVIEW]Ian Hacking - 1972 - British Journal for the Philosophy of Science 23 (2):132-137.
Review: Likelihood. [REVIEW]Ian Hacking - 1972 - British Journal for the Philosophy of Science 23 (2):132 - 137.

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