Bayes Theorem Bags
Description: Bayes' formula crowns a probability square divided into prior, likelihood and evidence, worked through to a posterior of 0.63. How much should a new piece of evidence change your mind? Start with a prior belief, weigh how likely the evidence would be if it were true and if it were false, and update. Rational belief is a matter of degree, revised in the light of data. Source: Thomas Bayes, 1763, Pierre-Simon Laplace, 1774.
Description: In data we trust—everyone else must provide mathematical proof. Show off your love for conditional probability and your healthy dose of skepticism with this judgmental Bayesian cat. Ideal for data analysts, programmers, and statistics nerds who know that you never accept a claim without updating your priors.
