As you say, Bayesian statistics are about updating prior probabilities (beliefs). They can be used for decision making, but it takes a lot of data to update a bad prior probability (especially if close to 1.0 or 0.0).
If we start with a prior probability of 0.5 for the existence of a biblical God, I wonder how many pieces of evidence we could come up with to get it towards 0? I think it would be pretty easy.
If we start with a prior probability of 0.5 for the existence of a biblical God, I wonder how many pieces of evidence we could come up with to get it towards 0? I think it would be pretty easy.
