CronoDAS comments on Negative and Positive Selection - Less Wrong

71 Post author: alyssavance 06 July 2012 01:34AM

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

Comments (262)

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

Comment author: DaFranker 06 July 2012 05:42:36PM 8 points [-]

Assuming a significantly large distribution of athletes sent by other rational managers, where all athletes are bound to the same rules of random event selection, I would still send the best possible specialist in a single discipline in this case, because without certainty that all other rational managers know certainly that some generalists will be better in everything than other generalists and that each one is confident that theirs is best, I conclude that some of them attempt a gamble of probabilities and send a specialist, and thus I also send a specialist to maximize my chances of winning.

After all, there are higher chances of the event being my athlete's specialty than there are chances of every single other athlete being less good at it if I pick a generalist, unless the number of possible events is large enough to outweigh the number of athletes. Throw in irrational managers and the possibility of other managers having information unavailable to you, and your father's argument seems very weak.

Now, of course, I'm probably attacking something that wasn't meant to be a strong defensible argument. However, I feel very strongly about the point that negative selection is wrong in many contexts it is currently used in (which I support), as well as the point that positive selection is so difficult and utterly impractical in so many cases (which I want to pound into tiny bits of forgotten wrongness).

I'm not sure where I'm going with this, however. I strongly agree with the article's statements, but my attempts to formulate any further useful thought seem to come up short.

Comment author: CronoDAS 07 July 2012 01:33:48AM 1 point [-]

Your analysis also assumes there's no difference between second place and last place.

Comment author: Viliam_Bur 07 July 2012 03:27:54PM 5 points [-]

Yes, the reward system is very important in choosing the right strategy. If the first place gives you gold, and all other places give you nothing, use positive selection. If the last places gives you problem, and all other places give you nothing, use negative selected. Other point of view: if being average is good, play safe by using negative selection; if being average is bad, aim for greatness (and accept a certain risk of failure) by using positive selection.

So the question is what exactly do we want in elite colleges or academia (examples from the article)? I guess for elite colleges it is better to play safe. If your students are above average and everyone knows it, they don't have to be exceptional -- your diploma will help them get a decent job, which is why they pay you. A few bad apples could ruin your marketing. With academia, for an average university it is probably better to have "safe" professors who do their jobs, get grants, and don't cause scandals; even if the price is having less Nobel-price winners.

Comment author: DaFranker 07 July 2012 03:06:51AM 0 points [-]

Yes, that it does, or at least it assumes that the difference is trivial within this decision scheme and the expected utility returns of a specialist are higher than the expected utility of a generalist even when taking second place into account.