This book introduces Converse of Bayes' Theorem and demonstrates its unexpected applications and points to possible future applications, such as, solving the Bayesian Missing Data Problem (MDP) when the joint support of parameter and missing data is not one piece, and de-conditioning in the distribution theory that also serves as a tool to detect incompatible conditional specifications.