This is an experiment (scientists love them). What is the fastest way to working knowledge of Bayesian probabilistic modeling and inference? Our working hypothesis is that it requires lots of intuitive examples and hands-on coding exercises, and relatively little theory. We have a few guinea pigs to test this hypothesis on; we'll see if it works!