Bayes Trubs, part 1
Tldr: there are circumstances (which might only occur with infinitesimal probability, which would be a relief) under which a perfect Bayesian reasoner with an accurate model and reasonable priors -- that is to say, somebody doing everything right -- will become more and more convinced of a very wrong conclusion, approaching certainty as they gather more data.