This visualization was inspired by the Julia Galef video that I linked to in the opening paragraph. One thing I liked about that video is that it represents probability space as a box which, for understanding Bayes' rule, I think is much more intuitive than the circular venn-diagram approaches. Some improvements that I think this visualization offers is showing the different probabilities updating in relation to each other, generalizing to more than two events for both priors and likelihoods, and explicitly showing the discarding of conditional probabilities of unobserved events and normalization of the posteriors.