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Some Notes on "The Sports Gene" by Epstein

I had the pleasure of reading the stimulating David Epstein's book "The Sports Gene: Inside the Science of Extraordinary Athletic Performance". Some excerpts (and some notes) here below:

Some of the traits that help predict the future pros are behavioral. The future pros not only tend to practice more, but they take responsibility for practicing better

It’s what Durandt hasn’t seen, though, that is telling. “We’ve tested over ten thousand boys,” he says, “and I’ve never seen a boy who was slow become fast.”

Sure enough, there were high responders to training and low responders, “but within pairs of brothers, the resemblance was remarkable,” Bouchard says. “The range of response to training was six to nine times larger between pairs of brothers than within pairs, and it was very consistent.

Amazingly, the amount of improvement that any one person experienced had nothing to do with how good they were to start.

I do not think it is the same for acquisition of highly-cognitive skills.

Statistical analysis showed that about half of each person’s ability to improve their aerobic capacity with training was determined exclusively by their parents. The amount that any person improved in the study had nothing to do with how aerobically fit he or she was relative to others to begin with, but about half of that baseline, too, was attributable to family inheritance.

"Choose your parents well" never gets old.

That scenario creates what economist Robert H. Frank termed a “winner-take-all” market. As the customer base for viewing extraordinary athletic performances expanded, fame and financial rewards slanted toward the slim upper echelon of the performance pyramid. As those rewards have increased and become concentrated at the top level, the performers who win them have gotten faster, stronger, and more skilled.

Incentives all over again, even if I doubt that in the case track and field became more popular than, say, American Football, we would necessary see new record in the sprinting or throwing events. Current top guys are far in the tail of the distribution in terms of athletic abilities.

In one study, she compared the skeletons of Mistihalj people—a group of medieval Yugoslavian herders—to the skeletons of kids from 1950s Denver. “The herders’ kids are the biggest, buffest kids I’ve ever seen,” she says. “Based on data of modern American children, we’re just puny in terms of the amount of bone we have.” But might a strict childhood training program be able to transform any American tot into a mighty medieval herder? “There’s a lot you can do with activity, and especially starting it earlier,” Cowgill says. “But it’s looking more and more like there’s a genetic component as well.”

Today, the expanding universe of athletic body types is slowing down. Much of the self-sorting, or artificial selection, is finished. The tall athletes are no longer getting taller compared with the rest of humanity at the rate they were two decades ago, nor the small smaller. And the march of constantly shattered world records is slowing right along with it.

Height is an incredibly narrowly constrained trait among humans. Fully 68 percent of American men are in just the six-inch range from 5'7" to 6'1". The bell curve of adult height is a Himalayan slope that falls off precipitously on either side of the mean. A mere 5 percent of American men are 6'3" or taller, while the average height of an NBA player

While inhabitants of the industrialized world grew taller over much of the twentieth century at a rate of about one centimeter per decade—at least partly because of increased protein intake and the decline of growth-stunting childhood infections, and perhaps because people are mixing genes more widely, with “tall” genes dominating “short” genes—NBA players have been growing at more than four times that rate, and the tallest of the tall NBA players at ten times that rate

See here for the increase in mean height of Europeans in the last century

But the “threshold hypothesis” of IQ is not supported by the work of scientists who specialize in that field, nor is the threshold hypothesis of NBA height supported by player data.

Recently over Twitter I wrote that the threshold hypothesis as popularized by Gladwell is tautological (and beyond that probably wrong).

Reaching it required increasing globalization of the game. The average height of American players in the NBA is about 6'6½", while the average height of foreign players is nearly 6'9". A great many of the foreign players in the NBA are there, it seems, because teams ran low on sufficiently tall players at home. Perhaps it’s no surprise, then, that the non-U.S. countries with stable representation in the NBA—Croatia, Serbia, Lithuania—are among the tallest in the world. Because height is a “normally distributed” human trait (i.e., a bell curve), a tiny difference in the average height in a country means a big difference in the number of people at the far extremes, like seven-footers.

This has implications (but it well known to people in the know) for "any" polygenic trait. See this contribution by the late and great James F. Crow.

[About Jamaica] Contemporary letters from British officials show deep respect for the Coromantee, whom one British governor in Jamaica called “born Heroes . . . implacably revengeful when ill-treated,” and “dangerous inmates of a West Indian plantation.” Another Brit, writing in the eighteenth century, said that these “Gold Coast Negroes” were distinguished by “firmness both of body and mind; a ferociousness of disposition . . . an elevation of the soul which prompts them to enterprizes of difficulty and danger.”

Here’s the conclusion of Peter Matthews, the track-and-field statistician who compiled those numbers: “In these days of computer games, sedentary pursuits, and driving our children to school—it is the ‘hungry’ fighter or the poor peasant who has the endurance background, and the incentive to work on it, who makes the top distance runner.”

The Cinderella story is still a must of course.

Interestingly, a system that thrives on the hard work of many is fueled by an abiding belief in natural talent. The Kenyan coaches and runners I spoke with almost uniformly said that it was never too late to begin training. If one has talent, they said, then one just needs to start training hard and elite status will come swiftly.

As psychologist Drew Bailey told me: “Without both genes and environments, there are no outcomes.”

That's a nice one-liner. At the same time, we want to know at the population level how much is explained by nature and how much by nurture. These contributions are only to be estimated at the population level, this is a very important and often overlooked point.

Using the gene frequencies, Folland and Williams made statistical projections of how many “perfect” endurance athletes (people with two “correct” versions of the twenty-three genes) walk the planet.

The paper is here (free access).

Thoroughbreds may have either reached their physiological terminal velocity or simply run out of new athleticism genes within the breeding population. (Thoroughbreds are relatively inbred, with more than half of the genes of modern racehorses tracing back to only four individual horses—the Godolphin Arabian, the Darley Arabian, the Byerley Turk, and the Curwen Bay Barb—that traveled from North Africa and the Middle East to England in the late seventeenth and early eighteenth centuries.)

In the very last line of his paradigm-shattering On the Origin of Species, Charles Darwin says this of his revelation that all the biological variation he sees springs from common ancestry: “. . . from so simple a beginning endless forms most beautiful and most wonderful have been, and are being, evolved.”

Isn't that cool?

Regression to the mean and chance

I think that Kahneman's body of work is of the most interesting contribution to psychology and economics of the last  decades. Kahneman's book "Thinking Fast and Slow" is a must read for anyone interested in understanding a little bit little about how human(s) (dynamics) work. Kahneman gives the impression in the book that the majority of his (and Amos Tversky's) results have been - after the usual initial struggle - well-accepted by the scientific community. This is far from the truth, but the book is a must read anyway.

By the way, Peter Kareiva, one the most influential conservation biologists in the world, asked during his seminar at UCSC this past January 2013 who among the audience had read Michael Sandel's last book "What Money Can't Buy: The Moral Limits of Markets". I was the only one. For me, it is absolutely necessary as as scientist to keep up with the psychological/philosophical/economic literature, and it is even more necessary for scientists dealing with conservation issues and projects. If you are not engaged in the current psychological/philosophical/economic discourse, you are bound to be irrelevant. No other options.

Here are some of the notes:

"Subjects’ unwillingness to deduce the particular from the general was matched only by their willingness to infer the general from the particular."

"[On regression to the mean] Because we tend to be nice to other people when they please us and nasty when they do not, we are statistically punished for being nice and rewarded for being nasty."

“She says experience has taught her that criticism is more effective than praise. What she doesn’t understand is that it’s all due to regression to the mean.”

I agree 100% with this one below. The contribution of chance is way underestimated.

"A few years ago, John Brockman, who edits the online magazine Edge, asked a number of scientists to report their “favorite equation.” These were my offerings: success = talent + luck great success = a little more talent + a lot of luck."

"[Google's founders] a year after founding Google, they were willing to sell their company for less than $1 million, but the buyer said the price was too high."

"Professional investors, including fund managers, fail a basic test of skill: persistent achievement."

"The human mind does not deal well with nonevents."

"Indeed, the statistician David Freedman used to say that if the topic of regression comes up in a criminal or civil trial, the side that must explain regression to the jury will lose the case. Why is it so hard? The main reason for the difficulty is a recurrent theme of this book: our mind is strongly biased toward causal explanations and does not deal well with “mere statistics.”"

"The goal of venture capitalists is to call the extreme cases correctly, even at the cost of overestimating the prospects of many other ventures. For a conservative banker making large loans, the risk of a single borrower going bankrupt may outweigh the risk of turning down several would-be clients who would fulfill their obligations. In such cases, the use of extreme language (“very good prospect,” “serious risk of default”) may have some justification for the comfort it provides, even if the information on which these judgments are based is of only modest validity."

Showers are always good.

"However, it is clear that for the large majority of individual investors, taking a shower and doing nothing would have been a better policy than implementing the ideas that came to their minds."

"The diagnostic for the existence of any skill is the consistency of individual differences in achievement. The logic is simple: if individual differences in any one year are due entirely to luck, the ranking of investors and funds will vary erratically and the year-to-year correlation will be zero. Where there is skill, however, the rankings will be more stable. The persistence of individual differences is the measure by which we confirm the existence of skill among golfers, car salespeople, orthodontists, or speedy toll collectors on the turnpike."

"Experienced radiologists who evaluate chest X-rays as “normal” or “abnormal” contradict themselves 20% of the time when they see the same picture on separate occasions."

"But this is what always happens when a project ends reasonably well: once you understand the main conclusion, it seems it was always obvious."

"(the classic “triumph of hope over experience”)"

"The chances that a small business will thesurvive for five years in the United States are about 35%."

"I have yet to meet a successful scientist who lacks the ability to exaggerate the importance of what he or she is doing, and I believe that someone who lacks a delusional sense of significance will wilt in the face of repeated experiences of multiple small failures and rare successes, the fate of most researchers."

Do yourself a favor and read the whole book.

 

General audience and scientific audience

Bob Paine, one the most important ecologists of the last 50 years, comments on his contribution to science.

"[Question]Did you know right away how big of an impact it would have? People spend their entire lives studying your theories.

Oh yes they do, and that produces its own headaches. But here’s a story. When that (keystone species) paper came out, I ordered 600 reprints, they went instantly. I went back to American Naturalist and got 600 more, and they went instantly, I went back again and they said sorry, they couldn’t print anymore. Later, I went home and  talked with my mother, who at  that time was writing small contributions for the New York Times science page, and I bragged, “Mother! Look at how successful this paper has been.” She said: “Son that’s OK, but I have a story to tell you too.” There was a senator, Bill Proxmire from Wisconsin who liked to make fun of science but was also a good environmentalist. She said, “1200 reprints that’s pretty good, but Proxmire asked me for 200,000 reprints of something I’d written for the NYT on the importance of water conservation, and he wanted to send that out to every voter in the state of Wisconsin” I said, “Mother, I am never going to get into another discussion of this sort again.” They were two very different audiences, and hers was possibly a more important one. [emphasis mine]"

Gladwell on genetic advantages

Nice Gladwell's piece on the New Yorker on genetic advantages in sports.

"In “The Sports Gene,” there are countless tales like this, examples of all the ways that the greatest athletes are different from the rest of us. They respond more effectively to training. The shape of their bodies is optimized for certain kinds of athletic activities. They carry genes that put them far ahead of ordinary athletes."

This is pretty clear, as I a said before anyone with half a brain can notice differences. People with agenda say everyone has the same potential. We do not. Physiological and morpholological differences are not easy to notice at the very top level, just because they are all exceptional, they are all outliers. But morpholological and physiological differences between top competitors and the lower-tier competitors/amateurs/hobbyists are clearly visible. You simply do not have the body structure/size to be a world-class javelin thrower, sprinter, shot-putter(now, do you think you have the same genetic potential?), long-distance runner, etc. There are non-responders to athletic stimuli and super-responders. There are people getting injured every second step and people with super tolerance to high volume workouts/competitions.

It is the same for a range of other "skills", from solving mathematical problems, to be at ease with learning new languages (surprisingly I have never seen studies testing whether the ability to learn programming languages is correlated with the ability to learn foreign languages, do they exist?), to just be good-looking, or "naturally" in decent shape.

For guys who jumped on the strange "we have all pretty much equal potential" bandwagon, just Open you Eyes (I,II).

Read the whole thing.

 

Update on Russian programmers

From a very nice article on the birth of Skype:

"I remember wondering: how can they be so good?" he told me, speaking about the Estonian core of Skype. "How can such a small group can do so much so quickly, compared to typical development efforts in, for example, Microsoft? I had the impression that maybe coming out of a time of Soviet occupation, when computers were underpowered, you had to know how to really program, effectively, parsimoniously, being very elegant in sculpting the programming code to be tight, effective, and fast. [That's] not like in Microsoft, which has a very lazy programming environment, where programs are created that have memory leaks and all sorts of problems, that crash all the time and no one really cares—because it's Microsoft!"

See here for a similar opinion.

Elites and spending time doing other stuff instead of understanding

From a comment down at the always provocative West Hunter.

"The big decisions in our society are made by fools. Our elites are in general overpromoted and spend far more mental energy keeping power and climbing the ladder than actually understanding what they need to know to make good decisions. At times they are shockingly ignorant of the matters they’re supposed to be experts on. Far, far more often than most people want to admit, they make momentous decisions on the basis of solving immediate political problems, or winning at office politics, or to make themselves feel good. Often they are the captives of their advisors, and their advisors are similarly usually overpromoted and self-interested rather than focused on good decisison. (The polite version of reality says that they’re all hard-working smart people who mean well; the acceptable version says this of your political side but not of the other.)"

I agree. I'd like also to add that even smaller decisions in our society are often made by fools or (at the very best) incompetent fellas. I know how hard it is to get familiar with something complicated, to really (sorta) know something. Where do elites (I'd maybe restrict elites to politicians in this case) find the time and energy to study, reflect, test, take decisions with some thinking behind them (it is perfectly clear that there are people in the shadow doing all the heavy stuff, but are they listened to? Do they have an agenda? How can you know if you don't know squat about it?) when they "spend far more mental energy keeping power and climbing the ladder than actually understanding what they need to know to make good decisions"? And this assumes that they actually have the cognitive power to understand such complicated stuff. Another form belief of mine is that (big) part of the problem with elites stems from the overrepresentation (not representation per se, just over) of lawyers, people coming from the humanities and social sciences among the elites. Some people coming from the hard or harder sciences would do (on average) good.

Hsu on intelligence and genomics

Steve Hsu talks about intelligence, genomics and selection of embryos.

Trying to unravel the genetic architecture of intelligence is a very worthwhile investigation. I have always supported smart kids and adults and I will go on doing so. Hsu is talking as usual about Von Neumann, according to many the greatest mind of the last century (with greater cognitive power than Einstein according to the same people).

A few bites:

"We can’t predict the sample size required to obtain most of the additive variance for g (this depends on the details of the distribution of alleles), but I would guess that about a million genotypes together with associated g scores will suffice."

"I would be surprised if, after analyzing millions of genotype-phenotype pairs, we were not able to produce a predictive model that captures, say, 50% of variance in g. That means, roughly, we might be able to predict g from genotype with standard error of somewhat less than a population standard deviation (e.g., 10 IQ points; note I don’t think the real world “meaning” of g is better defined than within an error of this size). This means that selection on g can proceed relatively efficiently, assuming the basic reproductive technologies are under control."

"At the extremes, there are some academics and social activists who violently oppose any kind of research into the genetics of cognitive ability. Given that the human brain — its operation, construction from a simple genetic blueprint, evolutionary history — is one of the great scientific mysteries of the universe, I cannot understand this point of view."

I totally agree.

"In addition to his abstract reasoning ability, von Neumann had formidable powers of mental calculation and a photographic memory. In my opinion, genotypes exist that correspond to phenotypes as far beyond von Neumann as he was beyond a normal human."

I was wondering whether the same is true for sports performance. Let's take Usain Bolt, a talent never seen before. Perfect body type (although he was too tall according to pre-Bolt standard. Shorter levers help in the first 20 meters of the 100 m dash), fantastic anaerobic power, not injury-prone in the first part of his career, high tolerance to volume in training. Possibly (probably) Bolt is between +6 and + 6.5 SD  with respect to the general population (1 in 500 million people to 1 in 10 the billion people).

I don't exclude that new doping agents, some new training methods as well optimal conditions will allow someone to go below 9.50 in the near future, but much more than that? Unlikely. There are many more tradeoffs in sports performance (e.g. optimal height not maximum height) than in in intelligence (although greater mean intelligence in Ashkenazi Jews, as also suggested by the over-representation of the group among Nobel Prize winners, seems to be causing - in the sense that there is a common biological underlying cause - a greater prevalence of the Tay-Sachs disease Ashkenazi Jews).

 

Hiring practices at tech companies

Very interesting and detailed blog post/article on the factors predicting who will get an interview at tech companies.

Apparently, the most important predictor is how many typos/grammatical mistakes/syntactic inconsistencies are present in the candidate's resume.

"The most significant feature by far was the presence of typos, grammatical errors, or syntactic inconsistencies. Errors I counted included everything from classic transgressions like mixing up “its” and “it’s” to typos and bad comma usage. In the figure below, I’ve created a fictional resume snippet to highlight some of the more common errors."

And here is the rationale:

"In startup situations, not only are good written communication skills extremely important (a lot of heavy lifting and decision making happens over email), but I have anecdotally found that being able to write well tends to correlate very strongly with whether a candidate is good at more analytical tasks. Not submitting a resume rife with errors is a sign that the candidate has strong attention to detail which is an invaluable skill when it comes to coding, where there are often all manners of funky edge cases and where you’re regularly being called upon to review others’ code and help them find obscure errors that they can’t seem to locate because they’ve been staring at the same 10 lines of code for the last 2 hours."

I am quite obsessive about typos/grammatical mistakes/syntactic inconsistencies (not in blog posts), but I wonder how many techs whose first language is not English get excluded because of this policy. I am sure I will go on making mistakes in English for quite a long time.

The other attribute with a strong effect size was having worked at a top company. The rationale seems quite intuitive:

"[...] having been able to hold down a demanding job at a competitive employer shows that you can actually, you know, hold down a demanding job at a competitive employer. Of all the companies that our applicants had on their resumes, I classified the following as elite: Amazon, Apple, Evernote, Facebook, Google, LinkedIn, Microsoft, Oracle, any Y Combinator startup, Yelp, and Zynga."

Chances of getting an offer are pretty slim anyway:

"TrialPay’s hiring standards are quite high. We ended up interviewing roughly 1 in 10 people that applied, and of those, we extended offers to roughly 1 in 50, for an ultimate offer rate of 1 in 500."

Read the whole thing.

 

Open Access or not

Very interesting discussion on Twitter today that started after someone said that she was not considering open access (OA) publications as an outlet for her (apparently) top material. Michael Eisen, PLoS co-founder, accused her of hypocrisy and the discussion started. For me at this point is a no-brainer. In Ecology and Evolution (as a discipline, it is also the title of a OA journal, the poor sister of Evolution) after PLoS Biology there is a lack of option of OA journals with high impact factor or rank or credibility. Ecology and Evolution is (basically) the OA option for papers that have been rejected by Evolution (review cascade, yes, sure. We do not want your paper in our prestigious journal, but you can pay $1500 and get it published in our much less relevant journal), PLoS One for papers that have been rejected at least a couple of times by more relevant journals (PNAS, rejected --> Ecology Letters, rejected --> American Naturalist, rejected --> ok I am fed up, let's go PLoS One, accepted. Just ask), EcoSphere is for papers rejected by Ecology, Ecological Applications, Frontiers etc. For sure there are scientists submitting to those OA publications as first option, but the vast majority submit there because they have been rejected between one and multiple times by other journals. For a journal to become relevant takes some time. To build credibility takes some time.

Grant agencies want the Nature, Science, PNAS publications (and higher PLoS journals, sure), they want publications in top disciplinary journals (AmNat, Ecology Letters, Ecology, ARES, Trends in Ecology and Evolution). Look here for the publications of ERC winners, how can that be not clear? Do you see any Ecosphere? PLoS One? Ecology and Evolution? Is it so difficult to understand?

People publish only OA out of an ethical position. I respect that and I am ethically in favor of OA. I'll maybe follow in a few years.