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A lot of words to describe bayes rule


Am I the only one who finds it intuitive and simple? Every article seems to give it a whole chapter of explanation, and vaunt it as the most groundbreaking concept ever. First I thought that was just Rationalists sniffing their farts, but I see it in a lot of places.


How would you summarize and convey it to be as simple and intuitive as you understand it?


Not contradicting you, but simple concepts are often the most groundbreaking. Finding the way to simplify something complex clearly is the hallmark of clear thinking (and Maths is laser-focused thinking).

IMO most people think of statistics in a bayesian way, even if they don't know the notation or science behind. It is so intuitive. It is the frequentist approach, taught first in school, that feels alien and forced.


Sometimes that's necessary - a lot of Bayesian-stuff is very counter-intuitive.


Essentially this. There are many more variables involved in that specific example, such as time since last negative feedback, total age of account, feedback over the last 90 days, etc.


This and nothing else




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