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Your anecdotal evidence is contradicted by wider evidence. In particular the famous Benbow study [1] that established that even among the top percentile of the
by MagnumOpus 6y ago
Your anecdotal evidence is contradicted by wider evidence.
In particular the famous Benbow study [1] that established that even among the top percentile of the population there are massive differences: the top quarter percentile (99.75-99.99) was 2-3 times more likely to have authored academic research later in life, and about 1.5x more likely to have attended postgrad education, to have gone for a STEM degree, to have gone for a PhD than the bottom quarter of the top percent (99.00-99.24).
[1] https://www.gwern.net/docs/iq/smpy/1992-benbow.pdf https://www.gwern.net/docs/iq/smpy/1992-benbow.pdf
- krastanov 6y agoThis is interesting, thanks for sharing it! It would take me some time to read it, but given that you seem the have already looked into this, I was wondering whether you have suggestion for a wider set of studies, a meta-study maybe. I am asking, because if I have to choose between my empirical observations (anecdotal as they are, given it is n=1 observers), and a single piece of research without followups, I do feel justified to stick to what I have seen myself. But I am open to be convinced otherwise.
- krastanov 6y agoTo update on the sibling comment I posted, after reading this study, I think it is pretty flawed. They indeed have an interesting population they have chosen to test, but to claim that they are the 1% top performers is incredibly misleading. The other 99% of their peers were never tested in the same fashion, which leads to obvious sampling and bias problems. This special population was treated differently from the other 99% of students from the very start of the study, so there is no surprise that new internal dynamics will appear among them, simply by virtue of being observed and treated as a separate group. To start testing the validity of the claims in this paper a study needs to be performed where the strength of effect has to be considered, when comparing a similar one-percenter group and a larger ten-percenter group. My prediction is that the strength of effect would show only negligible differences, confirming my hunch that the special treatment[1] is what created the new subdivision in this new group. More reading material on this topic would certainly be interesting, if you have anything in mind. [1]: The special treatment in this paper being telling a kid "you are only a 7th grader, but you are as smart as a high schooler".