> Using simple simulations,we show that this pattern arises naturally from collider bias when selection into elitesamples depends on both early and adult performance. Consequently, associationsestimated within elite samples are descriptively accurate for the selected population,but causally misleading, and should not be used to infer developmental mechanisms
Motivation if you feel like you're young and failing
[0] https://xcancel.com/AlexGDimakis/status/2002848594953732521
Savantism can be pretty damned weird. I've known a few, including a couple who will never have an adult career beyond local gigs because of their mental disabilities in other, non-music areas. The Oliver Sacks book "Musicophelia" has fascinating case stories about it.
https://press.princeton.edu/books/paperback/9780691133805/ol...
That book used artwork valuation as a performance measure and analyzed it over top artist's lifetimes finding two patterns. The "Young Genius" where an artist has a vision and realizes some innovation and their most valuable works center around that with value tapering off over their life. Picasso. (Who had two peaks but still fit the pattern.) Contrast to the "Old Master." This is someone who keeps refining their craft and their most valuable works and innovations are their late life works. Cézanne.
Another thought - Einstein had reviewed thousands of patents when he worked on the train - that's a hell of data set for an LM to start with.
Magnus Carlsen, Lang Lang, Terence Tao all were precocious and achieved elite performance in their youth.
And yet their access restriction not only removes the public from consuming the fruits of their labor, but it also systematically harms less well-resourced institutions, independent scholars and impedes the spread of knowledge (particularly in areas of the world that need it most).
I wish we could reach a point where we wouldn't allow this anymore.
Sounds like they're describing ADHD.
(Side note after the important ADHD joke: there's an old sport textbook called "Periodization" that mentions focusing on breadth rather than depth of sports experience in early life is a better path to olympic-level performance than just going hard in a single sport from a young age.)
Also, the ungated part doesn't say how they're measure "top" high-school vs university students. It doesn't match what I've heard about the persistence and consistency of basically all standardized tests; are they using within-school rankings for this? If so, that would fit perfectly with students being sorted during university selection.
.
* https://en.wikipedia.org/wiki/Rapid_application_development
Unintuitively, strength is a general adaptation that applies to all specific movements. A muscle is either strengthened across a range of motion, or it isn't; a muscle cannot be strong swinging a club while not strong lifting a weight, nor can it be strong holding a rock while weak holding a bar. It is optimal for most sports to train for general strength via barbells, and then to practice that strength via the sport. The rock climber should do heavy deadlifts and chinups to train his grip (and everything else), not special rock grip exercises, for the latter are difficult to progress in small increments and are inefficient in a time sense. A man who can do chinups with 150 pounds hanging from his waist, and who can hold a 550 pound barbell, will not have a problem hanging onto the bouldering wall; he need only practice his technique.
To the article's point, you should get "strong" in everything until you decide to practice that strength in one thing.
Early exceptional performers and later exceptional performers within a domain are rarely the same individuals but are largely discrete populations over time... and Most top achievers (Nobel laureates and world-class musicians, athletes, and chess players) demonstrated lower performance than many peers during their early years. Together.
A simple explanation: high performance requires quite a bit of specific preparation. But "exceptional" performance is mostly random relative to the larger population of high performers in terms of the underlying training-to-skills-to-achievement "equation". Especially, being at the top tends to get someone more resources than those nearly at the top who don't have visible/certified achievements.
I'd that billing your work "the study of the very best" really gives you strong marketing spin and that makes people tempted to find simplistic markers rather than looking at the often random processes involved in visible success. IE, I haven't touched on reversion to mean (https://en.wikipedia.org/wiki/Regression_toward_the_mean).