I think I would argue that recognizing biases (Tversky/Kahneman style) and trying to correct for them -- avoiding them altogether seems too high a threshold -- is different from what people call Bayesian approaches.
At least one (and I think several) of biases identified by Tversky and Kahneman is "people do X, a Bayesian would do Y, thus people are wrong," so I think you're overstating the difference. (I don't know enough historical details to be sure, but I suspect Tversky and Kahneman might be an example of the Bayesian approach allowing someone to discover novel, correct insights.)
The Bayesian way of updating on the evidence is part of "thinking correctly", but there is much, much more than just that.
I agree, but it feels like we're disagreeing. It seems to me that a major Less Wrong project is "thinking correctly," and a major part of that project is "decision-making under uncertainty," and a major part of uncertainty is dealing with probabilities, and the Bayesian way of dealing with probabilities seems to be the best, especially if you want to use those probabilities for decision-making.
So it sounds to me like you're saying "we don't just need stats textbooks, we need Less Wrong." I agree; that's why I'm here as well as reading stats textbooks. But it also sounds to me like you're saying "why are you naming this Less Wrong stuff after a stats textbook?" The easy answer is that it's a historical accident, and it's too late to change it now. Another answer I like better is that much of the Less Wrong stuff comes from thinking about and taking seriously the stuff from the stats textbook, and so it makes sense to keep the name, even if we're moving to realms where the connection to stats isn't obvious.
Hm... Let me try to unpack my thinking, in particular my terminology which might not match exactly the usual LW conventions. I think of:
Bayes theorem as a simple, conventional, and an entirely uncontroversial statistical procedure. If you ask a dyed-in-the-wool rabid frequentist whether the Bayes theorem is true he'll say "Yes, of course".
Bayesian statistics as an approach to statistics with three main features. First is the philosophical interpretation of (some) probability as subjective belief. Second is the focus on conditional probabilities. ...
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A list of some posts that are pretty awesome
I recommend the major sequences to everybody, but I realize how daunting they look at first. So for purposes of immediate gratification, the following posts are particularly interesting/illuminating/provocative and don't require any previous reading:
More suggestions are welcome! Or just check out the top-rated posts from the history of Less Wrong. Most posts at +50 or more are well worth your time.
Welcome to Less Wrong, and we look forward to hearing from you throughout the site!
Note from orthonormal: MBlume and other contributors wrote the original version of this welcome post, and I've edited it a fair bit. If there's anything I should add or update on this post (especially broken links), please send me a private message—I may not notice a comment on the post. Finally, once this gets past 500 comments, anyone is welcome to copy and edit this intro to start the next welcome thread.