Popperian v Bayesian

Here. the science writer Tom Chivers reviews Lee McIntyre's book "How to Talk to a Science Denier".

"I think the basic problem is that McIntyre is a Popperian. That is, in hugely oversimplified terms, he believes that no amount of evidence can confirm a theory: but evidence can falsify it. “If we find only evidence that fits our theory, then it might be true,” he writes. “But if we find any evidence that disconfirms our theory, it must be ruled out.”

I, on the other hand, am a Bayesian. I have some prior belief and I assign some level of probability to it: “climate change is real and dangerous”: 90%; “the world is flat”, 0.1%. And then each new piece of evidence shifts my belief a little: if next year NASA say “we got new photos in, looks like Earth is sitting on the back of a turtle”, then I’ll upgrade my belief in a flat earth to, I dunno, 1.5% (but also upgrade my belief in there being mad people at NASA to 95%)."

I think I agree with this conclusion:

"He recognises that beliefs are part of people’s identity, and that that makes it hard to change them – but again, applies the lesson only to the weird, wrong, other people, not to himself and people like him. The near-total lack of introspection renders the whole grand project largely meaningless. I am right, you are wrong, the only thing we need to discuss is how to make you realise how wrong you are."

In a world where politics is a legitimate - evan a valorised - hobby, introspection is a handicap.