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FeepingCreature comments on Statistical Prediction Rules Out-Perform Expert Human Judgments - Less Wrong
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Also, if I may be permitted to make a more general criticism in response to this post, I would say that while the article appears to be well-researched, it has demonstrated some of the worst problems I commonly notice on this forum. The same goes for the majority of the comments, even though many are knowledgeable and informative. What I have in mind is the fixation on concocting theories about human behavior and society based on various idées fixes and leitmotifs that are parts of the intellectual folklore here, while failing to notice issues suggested by basic common sense that are likely to be far more important.
Thus the poster notices that these models are not used in practice despite considerable evidence in their favor, and rushes to propose cognitive biases à la Kahneman & Tversky as the likely explanation. This without even stopping to think of two questions that just scream for attention. First, what is the importance of the fact that just about any issue of sorting out people is nowadays likely to be ideologically charged and legally dangerous? Second, what about the fact that these models are supposed to throw some high-status people out of work, and in a way that makes them look like they've been incompetent all along?
Regardless of whether various hypotheses based on these questions have any merit, the fact that someone could write a post without even giving them the slightest passing attention, offering instead a blinkered explanation involving the standard old LW/OB folklore, and still get upvoted to +40 is, in my opinion, indicative of some severe and widespread biases.
The second reason is invalid unless the actor is self-deluding - a smart actor that faces being put out of work would silently adopt a SPR as his decision-making system without admitting to it. Since the superiority of SPR continues in many fields, either relevant actors are consistently not smart, performance is not a significant contributing criterion to their success, or they're self-deluding ie. overrating their own judgment as the poster stated. [edit] I'd guess a combination of the last two.
Yes, I'd say it's a combination of the last two points, with emphasis on the second last.
The critical question is whether maximizing the accuracy of your judgments is a practical way to get ahead in a given profession. Sometimes that is indeed the case, and in such fields we indeed see tremendous efforts to automate as much expert work as possible, often with great success, as in the electronics industry. But in professions that operate as more tightly-knit guilds, adherence to accepted standards is much more important than any objective metrics of effectiveness. Stepping outside of standard work procedures is often treated as a serious infraction with potentially severe consequences. (Especially if your non-standard methodology fails in some particular case, as it will sooner or later, and you can't cover your ass by claiming that you followed all the standard accepted procedures and having your profession back you up organizationally.)
Now, you could try enhancing your work with decision models in secret. But even then, it's hard to do it in a completely secretive way, and moreover, human minds being what they are, most people can achieve professional success only if they are really sincerely convinced in their expertise and effectiveness. Keeping a public facade is hard for everyone except a very small minority of people.