The competitions reinforce the notion that either you ‘have good math genes’, or you do not. They put an emphasis on being quick, at the expense of being deep and thoughtful. They emphasize questions which are puzzles with some hidden trick, rather than more realistic problems where a systematic and persistent approach is important.
I would say that this is also true for entry into programs like SET at Johns Hopkins.
ColinsMum, I've been thinking a lot about your criticisms of the SAT and am now completely in agreement with you about it not being a good test for gauging math talent. While it's true that a few of the math questions on the SAT can be described as "tough" there really are only a
few on each test (they're usually the last question or two in a given section). And even so, just as the Thurston noted, the test is assessing a very narrow range of ideas and applications.
The SAT continues the trend of modern mathematics education as a whole (in the US anyway). The US math education system is organized around problems that can be solved quickly using standard algorithms. There is very little in the way of assignments that require what Thurston called reaching into yourself for ideas. IMO, this problem affects science education as well (and maybe other areas). As we push for more participation and increase the stakes, we end up teaching the students less about how to dig deep inside and end up with superficialities.
I've also been thinking about how this approach affects our national research enterprise (and is affected by it). As anyone in academia knows, US academic researchers today are assessed on the number of papers they publish and the amount of grant money they obtain. The latter depends on the former and as competition increases, projects assessed as "best" are really "projects most likely get the anticipated results" and therefore are overwhelmingly incremental in nature. So,
do it fast and get it published is an extension of what postdocs and new faculty members have been taught all their lives in many ways.
And there is no room for slow, risky, but potentially groundbreaking work in this model.
