In probability theory, a rule for assigning epistemic probabilities
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The principle of indifference (also called principle of insufficient reason) is a rule for assigning epistemic probabilities. The principle of indifference states that in the absence of any relevant evidence, agents should distribute their credence (or "degrees of belief") equally among all the possible outcomes under consideration.[1]
In Bayesian probability, this is the simplest non-informative prior. The principle of indifference is meaningless under the frequency interpretation of probability,[citation needed] in which probabilities are relative frequencies rather than degrees of belief in uncertain propositions, conditional upon state information.
^Eva, Benjamin (30 April 2019). "Principles of Indifference". philsci-archive.pitt.edu (Preprint). Retrieved 30 September 2019.
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