Phil Marshall showed up for two days and we caught up on our various projects. The one we are most on about is Yike Tang's (NYU) to bring hierarchical inference to weak lensing. We talked about strategy for that, and the competition. Comparison to other methods is daunting for a variety of reasons: We expect to be better than other methods when the data do not precisely match the model; that is, when the likelihood function or noise model is wrong in important ways. All the current tests of weak lensing technology are on fake data, for which the likelihood function is never wrong (or rarely wrong or not wrong in interesting ways).