Now that I've started to think about it, the estimation of the measurement error might be a problem.
First we need to keep in mind the difference between precision and accuracy. Re-tests will only help with precision, obviously.
Moreover, given that we're trying to measure g, it happens to be unobservable. That makes estimates of accuracy somewhat iffy. Maybe it will help if you define g "originally", as the first principal component of a variety of IQ tests...
On the other hand, I think our measurement error estimates can afford to be guesstimates and as long as they are in the ballpark we shouldn't have too many problems.
As to the empirical datasets, I don't have time atm to go look for them, but didn't US Army and such ran large studies at some point? Theoretically the results should be in public domain. We can also look at proxies (of the SAT/GRE/GMAT/LSAT/etc.) kind, but, of course, these are only imperfect proxies.
I've been wondering how useful it is for the typical academically strong high schooler to learn math deeply. Here by "learn deeply" I mean "understanding the concepts and their interrelations" as opposed to learning narrow technical procedures exclusively.
My experience learning math deeply
When I started high school, I wasn't interested in math and I wasn't good at my math coursework. I even got a D in high school geometry, and had to repeat a semester of math.
I subsequently became interested in chemistry, and I thought that I might become a chemist, and so figured that I should learn math better. During my junior year of high school, I supplemented the classes that I was taking by studying calculus on my own, and auditing a course on analytic geometry. I also took physics concurrently.
Through my studies, I started seeing the same concepts over and over again in different contexts, and I became versatile with them, capable of fluently applying them in conjunction with one another. This awakened a new sense of awareness in me, of the type that Bill Thurston described in his essay Mathematics Education:
I understood the physical world, the human world, and myself in a way that I had never before. Reality seemed full of limitless possibilities. Those months were the happiest of my life to date.
More prosaically, my academic performance improved a lot, and I found it much easier to understand technical content (physics, economics, statistics etc.) ever after.
So in my own case, learning math deeply had very high returns.
How generalizable is this?
I have an intuition that many other people would benefit a great deal from learning math deeply, but I know that I'm unusual, and I'm aware of the human tendency to implicitly assume that others are similar to us. So I would like to test my beliefs by soliciting feedback from others.
Some ways in which learning math deeply can help are:
Some arguments against learning math deeply being useful are:
I'd be grateful to anyone who's able to expand on these three considerations, or who offers additional considerations against the utility of learning math deeply. I would also be interested in any anecdotal evidence about benefits (or lack thereof) that readers have received from learning math deeply.