modal logic is an equally valid way to get at a lot of the quandaries associated with bayesian ideas.
bayes' thm by itself is totally not a "big deal." the idea that every probability has an associated prior, even if it's not explicitly written in the notation (so think "prior of prior") is an interesting attempt to cope with uncertainty in a rigorous way.
i do agree that in some places in the sciences, while "the numbers don't lie," the stats can be misleading. still, i can understand why it's useful to make some statements with statistics in order to quickly arrive at some first-order approximations.
bayes' thm by itself is totally not a "big deal." the idea that every probability has an associated prior, even if it's not explicitly written in the notation (so think "prior of prior") is an interesting attempt to cope with uncertainty in a rigorous way.
i do agree that in some places in the sciences, while "the numbers don't lie," the stats can be misleading. still, i can understand why it's useful to make some statements with statistics in order to quickly arrive at some first-order approximations.