Even Bayes can't make sense of garbage input, there has to be some relevance to the input numbers.
It's not magic, it's applied statistics.
If your probabilities are on the order of 'nonexistent' and your test has a false positive rate on the order of a few 10'ths of a % then you are wasting your time no matter what the method you use to analyze your data.
