Log[p(h/eb)/p(h/b)] is the one true measure of confirmation

Philosophy of Science 63 (1):21-26 (1996)
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Abstract

Plausibly, when we adopt a probabilistic standpoint any measure Cb of the degree to which evidence e confirms hypothesis h relative to background knowledge b should meet these five desiderata: Cb > 0 when P > P < 0 when P < P; Cb = 0 when P = P. Cb is some function of the values P and P assume on the at most sixteen truth-functional combinations of e and h. If P < P and P = P then Cb ≤ Cb; if P = P and P < P then Cb ≥ Cb. Cb – Cb is fully determined by Cb and Cbe – Cbe; if Cb = 0 then Cb + Cbe = 0. If P = P then Cb = Cb.

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Peter Milne
University of Stirling

Citations of this work

Inference to the Best explanation.Peter Lipton - 2004 - In Martin Curd & Stathis Psillos (eds.), The Routledge Companion to Philosophy of Science. Routledge. pp. 193.
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Experimental Explication.Jonah N. Schupbach - 2017 - Philosophy and Phenomenological Research 94 (3):672-710.
The Problem of Measure Sensitivity Redux.Peter Brössel - 2013 - Philosophy of Science 80 (3):378-397.

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References found in this work

Probability and the Weighing of Evidence.I. J. Good - 1950 - Philosophy 26 (97):163-164.
A Bayesian Defence of Popperian Science?Peter Milne - 1995 - Analysis 55 (3):213 - 215.
Review. [REVIEW]Barry Gower - 1997 - British Journal for the Philosophy of Science 48 (1):555-559.
Reason, judgement and bayes's law.Harold I. Brown - 1994 - Philosophy of Science 61 (3):351-369.

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