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Recent discoveries on the acquisition of the highest levels of human performance

submitted by colinc+(OP) on 2026-01-22 18:01:02 | 147 points 76 comments
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4. pessim+Yn[view] [source] 2026-01-22 19:53:26
>>colinc+(OP)
A summary, since the paper isn't open access: https://scientificinquirer.com/2025/12/21/the-counterintuiti...
9. MontyC+Cu[view] [source] 2026-01-22 20:31:02
>>colinc+(OP)
Couldn't this be explained by Berkson's Paradox [0]?

[0] https://xcancel.com/AlexGDimakis/status/2002848594953732521

11. arjie+Ev[view] [source] 2026-01-22 20:36:29
>>colinc+(OP)
Seems very Taleb's Ugly Surgeon / Berkson's Paradox to me. It's like how software engineers who are at Google are worse if they're better competitive programmers.

e.g. https://viz.roshangeorge.dev/taleb-surgeon/

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16. soperj+6z[view] [source] [discussion] 2026-01-22 20:56:39
>>truted+Ur
from sports i know (hockey), generally the next generational player is identified when they're like 12-13 years old (earlier for Gretzky). You look at the top scorers from the Brick Tournament(9-10 year old kids play in that tournament) from 10 years ago (https://www.eliteprospects.com/league/brick-invitational/201...), 3 of the top 5 scorers were drafted in the first round, and the top goalie was Team Canada's goalie at the world juniors.

edit: went back a few more years, lots of NHLers in the top 5 in scoring in the tournament, but some years are more miss than hit.

22. joe_th+bE[view] [source] 2026-01-22 21:29:04
>>colinc+(OP)
So consider these quotes:

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).

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23. efavdb+dH[view] [source] [discussion] 2026-01-22 21:43:58
>>MontyC+Cu
Here's the wikipedia on that one

https://en.wikipedia.org/wiki/Berkson%27s_paradox

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27. irishc+MJ[view] [source] [discussion] 2026-01-22 22:00:36
>>tayo42+yD
Probably the stupid-and-diligent bit.

> In 1933, while overseeing the writing of Truppenführung, the manual for leading combined arms formations, Hammerstein-Equord made one of the most historically prescient observations on leadership. During the writing effort, he offered his personal view of officers, classifying them in a way only he could:

> “I divide my officers into four groups. There are clever, diligent, stupid, and lazy officers. Usually two characteristics are combined. Some are clever and diligent — their place is the General Staff. The next lot are stupid and lazy — they make up 90% of every army and are suited to routine duties. Anyone who is both clever and lazy is qualified for the highest leadership duties, because he possesses the intellectual clarity and the composure necessary for difficult decisions. One must beware of anyone who is stupid and diligent — he must not be entrusted with any responsibility because he will always cause only mischief.”

https://news.clearancejobs.com/2019/10/08/the-four-classes-o...

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45. MontyC+vX[view] [source] [discussion] 2026-01-22 23:36:30
>>akobol+4R
>Berkson's Paradox seems to rely on the selection criteria being a combination of the two traits in question

100% correct. For traits x and y, selecting for datapoints in the region x + y > z will always yield a spurious negative correlation for sufficiently uncorrelated data, since the boundary of the inequality x + y > z is a negatively sloping line.

>But in TFA, surely the "high performance" selection filter applies only to the adult performance level?

Doesn't seem that way. Reading the full paper [0], they say:

   In sports, several predictor effects on early junior performance and on later senior world-class performance are not only different but are opposite. [...] The different pattern of predictor effects observed among adult world-class athletes is also evident in other domains. For example, Nobel laureates in the sciences had slower progress in terms of publication impact during their early years than Nobel nominees. Similarly, senior world top-3 chess players had slower performance progress during their early years than 4th-to 10th-ranked senior players, and fewer world top-3 than 4th- to 10th-ranked senior chess players earned the grandmaster title of the International Chess Federation (FIDE) by age 14.
It really does seem they took the set of people who were either elite as a kid, elite as an adult, or both, and concluded that this biased selection constitutes a negative correlation.

[0] https://www.kechuang.org/reader/pdf/web/viewer?file=%2Fr%2F3...

46. Strila+K61[view] [source] 2026-01-23 01:05:18
>>colinc+(OP)
Wasn't this study immediately debunked due to bad statistical methods? See https://zenodo.org/records/18002186

> 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

48. tbrown+if1[view] [source] 2026-01-23 02:34:05
>>colinc+(OP)
...so some people develop their sills using something like RAD* tooling which lets them develop skills quickly, and some don't and end up taking longer but getting better eventual results?

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

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56. mjanx1+Gz1[view] [source] [discussion] 2026-01-23 05:55:46
>>zozbot+En1
Its not random. The neurodivergent brain lacks the ability to perceive (some aspects of) the virtual social reality as something real and to focus on that. In a startup, where the problems at hand are objectively real, the ADHD hyperfocus can excel. In a typical corporation, where the situation is the opposite, it struggles.

https://pmc.ncbi.nlm.nih.gov/articles/PMC9541695/

70. Selkir+N23[view] [source] 2026-01-23 16:39:24
>>colinc+(OP)
Sounds like "Old Masters and Young Geniuses"

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.

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76. gwern+Edl[view] [source] [discussion] 2026-01-29 01:20:34
>>arjie+uX1
(To stop being lazy, the 2020 reference is: >>25426329 )
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