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by MichaelZuo
886 days ago
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So what makes 'Bayesian math' meaningful to anyone who is not Alice or Bob? It just seems like random speculations to any outside observer. Whether they are claimed to be caused by a coincidental pattern of neurons firing, 'math', etc., seems irrelevant. |
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Pretty quickly we can tell if we disagree about the whole framing of something (the overall model) or our priors are just very different.
The explicitness of priors is a big feature and when they're wildly different we can discuss / present evidence for those.
We can also see how much our priors matter in terms of outcome, i.e, what are the "load bearing beliefs" that lead us to make a certain prediction.