It's a canard, but still informative. I do wish he hadn't claimed that 1/3rd is wrong by Bayesian statistics because the frequentist approach, with the same int

It's a canard, but still informative. I do wish he hadn't claimed that 1/3rd is wrong by Bayesian statistics because the frequentist approach, with the same interpretation of the problem, yields exactly the same results. It's still a valuable example of how to represent unreliable measurement processes in your model, and the importance of doing so.