This post is a second-stage application of Bayesian probability to the alleged resurrection of Jesus. Step A establishes a prior probability influenced by factors like natural biology and theism. Step B evaluates the likelihood of observed evidence assuming resurrection, while Step C considers likelihood if false, including alternative explanations. Finally, Step D calculates the posterior probability, indicating that unless strong prior assumptions are made, the probability of resurrection remains low.