Editing Principle of indifference (section)

{{Short description|In probability theory, a rule for assigning epistemic probabilities}}
{{More footnotes|date=April 2010}}

{{Bayesian statistics}}

The '''principle of indifference''' (also called '''principle of insufficient reason''') is a rule for assigning [[epistemic probability|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.<ref>{{cite web|url=http://philsci-archive.pitt.edu/16041/|title=Principles of Indifference|date=30 April 2019|work=philsci-archive.pitt.edu|access-date=30 September 2019|author=Eva, Benjamin|type=Preprint}}</ref>

In [[Bayesian probability]], this is the simplest [[prior probability#Uninformative priors|non-informative prior]].