Predicting the future is problematic, agreed.
Re: the Nate Silver nuclear weapons example, that's pretty weak - eg: given (say) I've just seen three heads in a row (exactly once) .. does that alter anything about "the odds".
Having seen nuclear weapons not used post WWII ... does that inform us about "the odds" or the several times their use was almost certain (eg: Cuban missile crisis) save for out of band behaviour by individuals that averted use and escalation?
Historical base rates are the starting point unless you have an unusually good causal theory of the thing you're modelling. In the case of a coin flip you do. But the large majority of the time when it's a complex system you don't.
Most people's first instinct when faced with a complex system is to try to model it with words and use those words to predict. It's a beginner's error.
> Having seen nuclear weapons not used post WWII ... does that inform us about "the odds"
This is what Bayesian prediction does
> save for out of band behaviour by individuals that averted use and escalation?
This is kind of the point being made.
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