https://news.ycombinator.com/item?id=5915459

Yes, you can define a concept as a normal distribution centered at 100 with a standard deviation of 15. But if you claim that this concept can be measured with IQ tests, and then the observed distribution of IQ scores doesn't match the predicted curve - it's the curve that's wrong, not the tests.

The studies that the "fat tail" results were from all used the Stanford Binet L-M test, which has a ceiling of around 230.

Some additional Googling seems to have found some other independent studies:

http://hiqnews.megafoundation.org/John_Scoville_Paper.htm

http://www.abelard.org/burt/burt-ie.asp

I'm curious what sort of population your work draws from. The results above showed that IQ follows a normal distribution until about 140; other papers I've read indicate that IQ correlates with life outcomes until an IQ of about 140, and then appears completely uncorrelated. If you're studying workplace performance, I wouldn't be surprised if a good fraction of high-IQ people simply aren't in the workplace. (See eg. Christopher Langan.)