Well, when you use Bayes theorem, you are updating based on a conditioning event. But with causal info, it is not a conditioning event anymore. I don't think it is literally impossible to be Bayesian with causal info, but it sounds hard. I am still thinking about it.
So I am not sure how practical this "be more Bayesian" advice really is. In practice we should be able to use information of the form "aspirin does not cause cancer", right?
[ I did not downvote the parent. ]
If it's worth saying, but not worth its own post (even in Discussion), then it goes here.
Thread started before the end of the last thread to ecourage Monday as first day.