As Carl Linderholm pointed out, pattern-matching questions more properly belong to the field of parapsychology--he restricted his discussion to guessing the next number in a sequence, but the result can be readily generalized.
Satire aside, it seems to me that these Raven matrices get a lot easier to figure out once you've seen a few. At first glance I couldn't make heads or tails of the one you provided, but I went and took an online Raven matrix test and afterward that one seemed straightforward enough (in the sense that I quickly found a rule that was consistent with the rest of the matrix and produced one of the possible options). Presumably the easier ones familiarized me with the sorts of patterns the examiners were wont to use and reuse.
It's not entirely clear to me how somebody as mathematically talented as Tao could miss the basic Bayesian probabilistic argument that Scott Alexander gave, which shows that Tao's own existence is very strong evidence against his claim. But two hypotheses come to mind.
This reminds me of the Grothendieck quote from the previous article: "Yet it is not these gifts, nor the most determined ambition combined with irresistible will-power, that enables one to surmount the "invisible yet formidable boundaries " that encircle our universe." Both Grothendieck and Tao appear to discount pure intellect in favor of something less tangible when it comes to doing truly great mathematics. It's possible that they happened to encounter some exceptionally intelligent mathematicians who never managed to produce exceptional mathematics. On the other hand, it would be worth asking how many (if any) great mathematicians had high but non-exceptional intelligence.
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That's very interesting to me – thanks for sharing.
Thanks for pointing out a possible alternative explanation. Can you elaborate? I think that I might understand what you're saying, but I'm not sure. Are you saying that UCLA math professors would be considered to be exceptional mathematicians but not exceptionally intelligent? It's not clear to me that this is the case – you seem to be breaking symmetry by interpreting his two uses of 'exceptional' in different ways.
UCLA math professors are as a group more intelligent than UCLA math grad students, who are in turn as a group more intelligent than UCLA math majors. His remarks in the article that I linked suggests that he adheres to the threshold theory – that after a certain point intelligence doesn't yield incremental returns. I think that this is wrong whatever reference class one is using.
I think what Tao means is something like: among the total population of those intelligent enough to eventually become senior faculty at a UCLA-level department, variables other than intelligence are much better predictors of (the binary variable of) whether a given individual achieves (at least) that level of status (as opposed to, say, the level of more typical state universities).
This is not inconsistent with intelligence being the best predictor of Tao-like status conditional upon UCLA-level status. In terms of intelligence, ordinary universities might contain a large percentage of could-have-been-UCLA's even if UCLA-level places contain only a small number of could-have-been-Tao's.
I also suspect you and Tao (or at least, his public "voice" as reflected in his writings) may disagree somewhat about the relative contribution to mathematics of Tao-level and merely-UCLA-level mathematicians.