Cited by 4Bayesian Modeling and Causal InferenceProbability and Statistical ResearchEpistemology, Ethics, and Metaphysics

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The Principle of Indifference Does Not Lead to Contradictions

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Tschirk, Wolfgang·2016·International Journal of Statistics and Probability

Abstract

The Principle of Indifference says that if there are a finite number of propositions and a state of knowledge according to which none of the propositions is more plausible than any other, then, conditional on that knowledge, all of them have the same probability. Most researchers reject the principle because there exist counterexamples believed to prove that it leads to contradictions. We analyse three examples representative of the objections to the principle and show that, rather than disproving it, they suffer from a common error in applying it. From this and the fact that the Principle of Indifference complies with plausible reasoning we conclude that it does not lead to contradictions.

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Metadata

Authors
Tschirk, W.
Affiliations
University of Vienna (AT)
Corresponding author
Tschirk, Wolfgang
Venue
International Journal of Statistics and Probability
Published
2016-06-21
Volume
5
Issue
4
Pages
79
ISSN
  • 1927-7032 (ISSN-L)
  • 1927-7040
OpenAlex
W2460818089
Cited by
4
References
15
Citations by year
2026: 1 · 2021: 2 · 2018: 1
FWCI
0.27
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
International Journal of Statistics and Probability (publishedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
  • Social Sciences › Arts and Humanities › Philosophy › Epistemology, Ethics, and Metaphysics
Keywords
principle of indifference, probability, counterexample, state of knowledge, plausible reasoning, epistemology of probability

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