# Priors

In the context of Bayes's Theorem, Priorspriors refer generically to the beliefs an agent holds regarding a fact, hypothesis or consequence, before being presented with evidence. Upon being presented with new evidence, the agent can multiply their prior with a likelihood distribution to calculate a new (posterior) probability for their belief.

Applied to Learning the prior by Ruben Bloom at 1y
Applied to A Priori by Ruben Bloom at 1y
Applied to Cryonics priors by Ruben Bloom at 1y
Applied to Priors Are Useless by Ruben Bloom at 1y
Applied to Priors and Surprise by Ruben Bloom at 1y