On Bayes' Probability

Interesting summary of Bayes' probability theorem. "Bayes' theorem tells us how to update our beliefs in light of new evidence, but it can't tell us how to set our prior beliefs. And, so, it's possible for some people to hold that certain things are true with one hundred percent certainty, and other people to hold those same things as true with zero percent certainty. What Bayes' theorem shows us is that in those cases there is absolutely no evidence that anyone could do to change their minds. And so as Nate Silver points out in his book The Signal and the Noise, we should probably not have debates between people with one hundred percent prior certainty and zero percent prior certainty because, well, really, they'll never convince each other of anything." - https://youtu.be/R13BD8qKeTg. Importantly, the notion of belief cited here is similar to that of Immanuel Kant's holding to be true [Fuerwahrhalten]. Andrew Chignell's essay, "Belief in Kant" is quite helpful in this regard, https://philpapers.org/rec/CHIBIK-2.

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