I was asked why Bayesianism is not an epistemology and what is alternative. Answers in http://meaningness.com/probability-and-logic … & http://meaningness.com/metablog/how-to-think … …
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Replying to @Meaningness
Probability theory is unable to *talk about* most topics, much less explain them. http://meaningness.com/probability-and-logic … explains, with minimal formalism.
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Replying to @Meaningness
From the meta-systematic pov, “an epistemology” is impossible. No system can encompass all ways of knowing, used in different domains.
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Replying to @Meaningness
I’ve been asked “If not Bayesianism, then what?” before and answered in http://meaningness.com/metablog/how-to-think …pic.twitter.com/TxqNgNHWFB
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Replying to @Meaningness
We actually don’t know how people know things. We do *know* it’s not via trivial bits of math. We need to find out!pic.twitter.com/ODlktRpBKJ
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Replying to @Meaningness
I realize this is reductionist in the extreme, but my bedrock epistemology has always been "trial and error."
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Replying to @KevinSimler
Mm. That’s certainly an important principle, but by itself doesn’t seem like it goes very far.
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Replying to @Meaningness
Why doesn't it get you very far? It gets you everywhere! It gets you to Bayesianism, for example — because B-ism works :)
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Replying to @KevinSimler
Well, Bayesianism, trivial as it is, has a lot more apparatus than “keep/discard.”
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Replying to @Meaningness
I don't mean that Bayesianism is encoded in trial-and-error, only that it can (and did) arise from such a process.
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Let’s say, for the sake of the argument, that every discovery can be retrospectively described as a keep/discard process.
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