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Contrastive Evidence and Inductive Risk

Bibliographic Data

ID8396227
AuthorsJaakko Kuorikoski (0000-0001-5676-717X, University of Helsinki, corresponding author)
Year2024
Volume75
Issue1
Pages61-76
Publication date2024-03-01
Open AccessNo
TypeARTICLE
VenueThe British Journal for the Philosophy of Science (JOURNAL)
Journal identifiersISSN: 0007-0882 • E-ISSN: 1464-3537
PublisherUniversity of Chicago Press (PUBLISHER • US)
DOI10.1086/715183
OpenAlexW3159647157
LanguageEN
References cited22

I argue that non-epistemic values are necessarily embedded in the measure of evidential strength of contrastive evidence. When evidence is contrastive, evidence is stronger the more it favours a hypothesis over a set of plausible, mutually exclusive alternative hypotheses. In such a contrastive epistemic setting, evidence has an effect not only on a particular hypothesis, but on the whole probability distribution over the set of alternative hypotheses. A natural way of analysing the incremental impact of new evidence on a set of alternative hypotheses is in terms of uncertainty or ‘entropy’ reduction. There is no unique single measure of uncertainty/entropy, however, and, consequently, no single unique measure of uncertainty reduction. Finally, I argue that the ‘right’ measure of entropy reduction, and hence of evidential strength, depends on the pragmatic context and non-epistemic values

Business · Linguistics · Gambling Behavior and Treatments · Jury Decision Making Processes · Law, Economics, and Judicial Systems · Philosophy

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