updated 2020-12-30
Bayes Belief is a method for incrementally updating the strength of belief that something is true or false as sequential trials indicate one or the other. If the outcome of a trial would be definitive, error-free, absolutely true, then one trial is all that would be needed. However, experimental testing has both false positives and false negatives. Since trial results are fallible, it may take several corroborating results to have a strong enough belief in a supposition to make a decision, or several contradictory results to reject the supposition. Download this pdf file to see how it works.