You're looking at Less Wrong's discussion board. This includes all posts, including those that haven't been promoted to the front page yet. For more information, see About Less Wrong.

Will_Newsome comments on Which cognitive biases should we trust in? - Less Wrong Discussion

17 Post author: Andy_McKenzie 01 June 2012 06:37AM

You are viewing a comment permalink. View the original post to see all comments and the full post content.

Comments (42)

You are viewing a single comment's thread. Show more comments above.

Comment author: Will_Newsome 02 June 2012 02:38:28PM *  2 points [-]

Ah, one meta thing to keep in mind, is that as a Bayesian it's actually sort of hard to even understand what Gigerenzer could possibly mean sometimes. Gigerenzer understands and appreciates Bayesianism, so I knew I had to just be entirely missing something about what he was saying. E.g., I was shocked when he said that the conjunction rule wasn't a fundamental rule of probability and only applied in certain cases. I mean, what? It falls directly out of the axioms! Nonetheless when I reread his arguments a few times I realized he actually had an important meta-statistical point. Anyway, that's just one point to keep in mind when reading Gigerenzer, since you and I lean Bayesian. (As we should: Bayes really is a lot better.)

Comment author: lukeprog 02 June 2012 05:37:25PM 2 points [-]

Okay. I also look forward to hearing what specific meta-statistical point you think Gigerenzer was making.

Comment author: Will_Newsome 02 June 2012 05:49:01PM 3 points [-]

Would you prefer a discussion post, email, or a comment reply here? (I'll want to write a long response that covers all the points all that once, at least about Gigerenzer etc.)

Comment author: lukeprog 02 June 2012 05:51:12PM 3 points [-]

Discussion post, I suppose.

Comment author: lukeprog 29 June 2012 06:55:05PM 0 points [-]

Has this happened yet? I didn't miss it, right?

Comment author: Will_Newsome 29 June 2012 10:44:02PM 1 point [-]

Correct, I'll be sure to let you know when it happens.