Tall poppies don’t get the calls

Ask anyone who grew up playing basketball as the tallest player on the court and they will, each and every one of them, tell you that players were allowed to foul them harder and more often. If you were tall you didn’t get the calls, full stop. Why? We could sort through a host of mechanisms, but they all boil down to “Being tall is an unfair advantage. It’s only fair that I, the shorter opposing player, am allow to slap you, chop you, kick you, trip you, grab you.” To be honest, I don’t think this is a particularly shocking phenomenon. “Tall poppies get cut down” is a cultural cliche for a reason. What is interesting is that it persists even amidst billions of dollars in market incentives pushing in the other direction.

The latest version is happening right now as the Oklahoma City Thunder are currently doing their best to end Victor Wembanyama’s nascent career each and every night, and the referees seem uninterested in realigning the incentives otherwise. At the moment the Spurs are currently up 65-43 in game 4 of the series. If the series goes 7, there’s at least a 20% change Wembanyama doesn’t make it to the end. Will they break his foot smashing down on it, break his leg tripping him, or dislocate his shoulder yanking down on it from a leveraged position? Don’t know, but they’re doing their best to make it happen.

Caitlin Clark came into the WNBA as the single greatest talent prospect in the history of women’s basketball. The abuse she suffers is well documented. Wayne Gretzky was the greatest hockey player of all time, but he was arguably only allowed to reach his potential because Bobby Orr’s careers was cut in half by a league that allowed teams to abuse him with little to know punishment. Bobby Orr’s sin was that he was such a better skater than everyone else that, if allowed to play without constant grabbing, hooking, and abuse tantamount to aggravated assault, he would have walked away with too many goals, wins, and Stanley Cups. It wasn’t fair that he was so much better, so they let the players even the odds. Having watched him limp away after only 7.5 seasons, the NHL took the unofficial position that Gretzky’s teammates (specifically, Dave Semenko and Marty McSorley) held carte blanche to assault anyone who touched Gretzkey. While perhaps not a culture-shifting solution, Gretzky did have a 20 year career that brought hockey to new heights of popularity, so it was ostensibly effective.

But none of that gets at the underlying economics. Elite players bring big audiences to sporting events, which in turn, brings in big money for everyone. The owners, players, and everyone in between gets richer when elite players shine under the biggest lights. So why chop them down? Well, first we have a collective action problem to solve, because, yes, the entire market benefits from superstars, but their opposition during the course of play in any one game have the individual incentives to do whatever they can get away with to win. That’s why we have referees, commissioners, and a players union: to solve those collective action problems. All of those rules and institutions are in place specifically to align incentives and bargain for outcomes that maximize welfare. So why aren’t they working?

When you find cliches at the front of your mind, decent chance you’re running up against psychology and behavioral economics. And as Victor Wembanyama is learning each and every night of the playoffs, “tall poppies get cut down”. It’s not fair that he’s the first 7’5″ player with elite NBA level skills to ever play the game. You know, I was never a fan of watching Shaq play basketball per se, but I always knew he should have scored at least 40 points every night. Yes, he committed 7 offensive fouls every game, but he also received 25 fouls that went uncalled. Players were allowed to maul him because it was unfair he was so much bigger, stronger, and more athletic. His career was only as long as it was because his body could endure the abuse. There has never been another player in NBA history who could have survived even 3 seasons receiving the abuse he did.

Putting aside simple behavioral explanations, we also should consider the possibility that NBA team owners and players are so far down the diminishing marginal returns to wealth, that the median participant would actually prefer to earn less money in order to maximize their own chance at winning a championship. They want parity, of a sort. Parity, but only once the playoffs arrive. The regular season is too long and everyone does, in fact, want to make money, so the abuse is minimal, but once the playoffs arrive, the collective preference is for parity delivered via weaker rule enforcement. There are only so many elite players, but everyone is capable of low-level violence. This preference for postseason parity may also explain why Oklahoma City’s best player, Shai Gilgeous-Alexander, has the reputation for simulating being fouled on every play. If you’re going to get fouled no matter what, you might was well maximize the probability of getting a foul call by forcing the referee to be observed observing the incident.

And, to be clear, parity may in fact be revenue maximizing. Just look at the NFL – the entire structure is designed to maximize the number of franchises who believe at the beginning of the season that their team has a chance to win it all. The players are relatively anonymous compared to NBA superstars, but fans are mostly there to root for laundry, and in the NFL, so long as that laundry doesn’t say NY Jets on it, there’s at least a glimmer of hope. Counter point, just look at the NFL. They understood that each team, especially once the playoffs started, had strong incentives to try to end the opposing quarterbacks career on each and every play. So the NFL introduced a battery of rules to protect quarterbacks, and it seems to have worked.

So maybe I’ve come full circle. Maybe this is what the NBA wants. But I really, really it’s hope not. Wemby is special. I’d like to see the very most of what he can become.

PhD Chemical Engineer Finds New Career Booty Hooping

I read Straw Dogs, a critique of modern society by English political philosopher John Gray, shortly after it was published in 2002. (No relation to the movie with the same name). Wikipedia summarizes the author’s view as, “Gray blames humanism, and its central view of humanity, for much of the destruction of the natural world, and sees technology as just a tool by which humans will continue destroying the planet and each other.”  I cannot recommend the book as a whole – the reader is left in a state of despairing passivity. My AI justly notes, “Critiques of John Gray’s Straw Dogs: Thoughts on Humans and Other Animals generally center on its extreme pessimismlogical inconsistencies, and rhetorical excesses.”  

All that said, the book did contain many interesting observations. One line of thought that struck me at the time was that, with increasing efficiencies in the production of basic goods and services, more and more human effort will go into simply entertaining or “distracting” each other:

The days when the economy was dominated by agriculture are long gone. Those of industry are nearly over. Economic life is no longer geared chiefly to production. To what then is it geared? To distraction. Contemporary capitalism is prodigiously productive, but the imperative that drives is not productivity. It is to keep boredom at bay. With wants so quickly sated, the economy soon comes to depend on the manufacture of ever more exotic needs.

I was reminded of that line of thought when, at a recent gathering of PhD chemical engineers, I heard that one of our number has become somewhat well-known for a late-career shift. She goes by the name Andrea Hulamyhoop these days. (I happen to know her real last name and approximate age, but she wishes to keep those private).

Her father was a chemical engineering professor, and she earned a PhD in the discipline at Princeton University. She was just going along living a fairly normal sort of life, with a regular job, when without warning, it happened:

Then one day, she saw a girl hula hooping. “She looked really free and happy, and I thought, interesting, maybe I’ll try it.” A few minutes at a time quickly became an obsession. Turns out, there are whole online communities of hula hoopers who share tips and support. Conferences. And many shows and events looking for a pro to dazzle and inspire audiences.

“The hula hoop has changed everything in my life,” she says. “I didn’t know I could become a fit, sporty person. I didn’t know I was one. I love performing, and I love people, and I love parties.

“I always thought my life was a bit OK. My kids were grown up. I was enjoying my job,” she says. “But you know, we kind of think, is this all there is? And then to realize there’s this whole world — it’s been incredible. I’m happier than I’ve ever been in my life.”

Andrea Hulamyhoop doesn’t just swirl a hoop around her waist. She can twirl multiple hoops around multiple body parts, with style. She is perhaps best known for her appearance on America’s Got Talent in 2025, where she smashed previous records by bending over and twirling a hoop around her rear end for just over an hour and fifteen minutes. The crowd went wild.

The physics of this feat seem almost impossible, but seeing is believing. Andrea gives a gracious tutorial here.

When I asked who is the most famous holder of a Princeton chemical engineering PhD, both ChatGPT and Claude insisted that former GE president Jack Welch is more well-known than Andrea the butt-hooper, but I doubt that is true below a certain audience age bracket. She has some 17,000 Instagram followers. I’d be willing to bet that in a crowd of under-40’s today, if you asked “Have you heard about the guy who was president of GE in the 1980’s and 90’s?” or “Have you heard about the gal who can twirl a hula hoop on her butt?”, Andrea Hulamyhoop would win.

All this brought back to my mind the notion that as a society we are able to afford to devote a great deal of time to sheer entertainment, rather than growing potatoes.   A comment by a certain @petesounds9321 on Andrea’s epic 2025 AGT YouTube showed he had evidently not read Straw Dogs:

“I’d say we need more scientists than hula hoopers but hey…maybe I’m way off.”

Commodity Sports

I’m trying to coin “Commodity Sports” as the term to refer to sports betting that takes place on exchanges regulated by the US Commodity Futures Trading Commission, as opposed to sports betting that takes place through casinos regulated by state gaming commissions. So far it seems to be working alright, I haven’t convinced Gemini but have got the top spot in traditional Google search:

That article- Will Commodity Sports Last?– is my first at EconLog. I’m happy to get a piece onto one of the oldest economics blogs, one where I was reading Arnold Kling’s takes on the Great Recession in real time, where I was introduced to Bryan Caplan’s writing before I read his books, and where Scott Sumner wrote for many years (though I started reading him at The Money Illusion before that).

The key idea of the piece, other than the legal oddity of sports betting sharing a legal category with corn futures, is that the Commodity Sports category is being pioneered by prediction markets like Kalshi. As readers here will know, I like prediction markets:

I love that CFTC-regulated exchanges like Kalshi and Polymarket are bringing prediction markets to the mainstream. The true value of prediction markets is to aggregate information dispersed across the world into a single number that represents the most accurate forecast of the future.

But I’m not so excited to see them expanding into sports:

Although I see huge value in prediction markets when they are offering more accurate forecasts on important issues that help policymakers, businesses, and individuals make more informed plans for our future (e.g., Which world leaders will leave office this year?, or Which countries will have a recession?)… I see much less value in having a more accurate forecast of how many receptions Jaxon Smith-Njigba will have.

Like Robin Hanson, I worry that the legal battles against Commodity Sports and the brewing cultural backlash against sports betting risk taking the most informative prediction markets down along with it.

The full piece is here.

Markets adjust: Superbowl quarterback edition

Yesterday’s super bowl was fun for a variety of reasons, but your 147th favorite economist was especially happy to see that markets continue to keep things interesting. The NFL was a “only teams with elite quarterbacks can win” league…until it wasn’t. After Brady, Manning, Brees, and Maholmes winning two decades of Super Bowls, we have back to back years of decidedly average quarterbacks winning (within-NFL average, to be clear. These are all objectively incredible athletes). How did this happen? Is it tactical evolution, flattening talent pools, institutional constraints, or markets updating? The answer is, of course, all of the above, but updating markets is the mechanistic straw that stirs the drink.

The NFL is a salary capped, which means each team can only spend so much money on total player salaries. As teams placed greater and greater value on quarterbacks, a larger share of their of their salary pool was dedicated accordingly. These markets are effectively auctions, which means eventually the winner’s curse kicks in, with the winner of the player auction being whoever overvalues the player the most. Iterate for enough seasons, and you eventually arrive at a point where the very best quarterbacks are cursed with their own contracts, condemned to work with ever decreasing quality teammates. Combine that with a little market and tactical awareness, and smart teams will start building their teams and tactics around the players and positions that market undervalues. And that (combined with rookie salary constraints), is how you arrive at a Super Bowl with the 18th and 28th salary ranked quarterbacks.

Whenever a market identifies an undervalued asset (i.e. quarterbacks 25 years ago) there will, overtime, be an update. Within that market updating, however, is a collective learning-as-imitation that eventually results in some amount of overshooting via the winners curse. This overshoot, of course, may only last seconds, as market pressure pushes towards equilibrium. In markets like long term sports contracts or 12 year aged whiskey, that overshoot can be considerable, as mistakes are calcified by contracts and high fixed cost capital.

What does this predict? In a market like NFL labor, I’d expect a cycle over time in the distribution of salaries, iterating between skewed top-heavy “star” rosters and depth-oriented evenly distributed rosters. At some point a high value position or subset of stars are identified and distproportionately committed to, but the success of those rosters eventually leads to over-committment, so much so that the advantage tilts towards teams that spread their resources wider across a larger number of players undervalued teams whose fixed pie of resources are overcommitted to a small number of players. That’s how you get the 2025 Eagles and 2026 Seahawks as super bowl champions.

I wonder when it will cycle back and what the currently undervalued position will be?

What Counts As “In Shape”?

Given where we are starting from, the average American would probably be satisfied with a fairly low bar, like “not obese” or “can run a mile without stopping”. But the kind of person who writes about the topic a lot tends to be a fitness nut insisting on crazily high standards. So what makes for a reasonable middle-ground measure?

I think the US military’s standards do. They vary by branch and are changing, but here are some previous military fitness standards from the Air Force:

Pushups and sit-ups are how many can be done in one minute

Here’s what the Marines expect from recruits before they show up for training:

The Army has a complex points system that varies by age and gender, but their minimum standards for a 20-year-old Male include: hex bar deadlift 150 lbs for 3 reps, 15 hand-release pushups within 2 minutes, plank for a minute 30, and a 2 mile run in 19:57 (plus their own sprint/drag/carry test in 2:28).

I like that the standards all involve a mix of strength and speed, and that they might take some work but should be achievable in a reasonable amount of time for a healthy person. I also like that they give stretch goals for the over-achievers in addition to their minimums.

What about the real over-achievers, the ones who want to be not just “in shape” but “in great shape” or “in excellent shape”? For them, there are the special forces fitness tests. Here’s the Green Berets:

The Navy SEALs naturally add a swim:

I’m in no way an authority on any of this, but for what it’s worth, you have my permission to say you’re in shape if you can meet any branch’s minimum requirements.

$1 Million or I Quit: CTE Deaths in Football and Hockey

Former teammates of athletes who died of CTE would require $6 million to offset this disamenity and $1 million to be indifferent between exiting and staying in the profession.

So concludes a paper by Josh Martin. I thought this paper would be about a small group, since CTE deaths mostly happen among long-retired players with few or no former teammates still playing. But it turns out there were a fair number of early deaths, and each player had many teammates who can be affected, totaling 23% of NHL players and 14% of NFL players:

But teams mostly won’t pay worried players enough extra to stay, especially in hockey. So many of them retire early:

Athletes who were teammates with a former teammate who died with CTE for three or more years and played for a team with them at least two years before their death are 7.22 percentage points more likely to retire than characteristically similar non-treated players in the same years. Relative to the pre-treatment mean, this represents a 69% increase.

People still respond to incentives though, and if you do pay them enough they mostly take the risk and stay:

The remaining players will take measures to protect themselves, like skipping games to recover from concussions:

Michael previously pointed out here that these concerns matter more for certain positions, like running backs:

If you want millionaires to show up every week to willingly endure the equivalent of a half-dozen car accidents, you’re going to have to pay them.

This all makes for a good illustration of the theory of compensating differentials, which is sometimes surprisingly hard to observe in the labor market. But sports tend to have the sort of data we can only dream of elsewhere. Which other workers have millions of people observing, measuring, and debating their on-the-job productivity and performance?

This summer I was one of thousands of people crowding into Foxborough just to watch them practice:

The NFL season kicks off today, and I say the players deserve the millions they are about to earn.

After the Fall: What Next for Nvidia and AI, In the Light of DeepSeek

Anyone not living under a rock the last two weeks has heard of DeepSeek, the cheap Chinese knock-off of ChatGPT that was supposedly trained using much lower resources that most American Artificial Intelligence efforts have been using. The bearish narrative flowing from this is that AI users will be able to get along with far fewer of Nvidia’s expensive, powerful chips, and so Nvidia sales and profit margins will sag.

The stock market seems to be agreeing with this story. The Nvidia share price crashed with a mighty crash last Monday, and it has continued to trend downward since then, with plenty of zig-zags.

I am not an expert in this area, but have done a bit of reading. There seems to be an emerging consensus that DeepSeek got to where it got to largely by using what was already developed by ChatGPT and similar prior models. For this and other reasons, the claim for fantastic savings in model training has been largely discounted. DeepSeek did do a nice job making use of limited chip resources, but those advances will be incorporated into everyone else’s models now.

Concerns remain regarding built-in bias and censorship to support the Chinese communist government’s point of view, and regarding the safety of user data kept on servers in China. Even apart from nefarious purposes for collecting user data, ChatGPT has apparently been very sloppy in protecting user information:

Wiz Research has identified a publicly accessible ClickHouse database belonging to DeepSeek, which allows full control over database operations, including the ability to access internal data. The exposure includes over a million lines of log streams containing chat history, secret keys, backend details, and other highly sensitive information.

Shifting focus to Nvidia – – my take is that DeepSeek will have little impact on its sales. The bullish narrative is that the more efficient algos developed by DeepSeek will enable more players to enter the AI arena.

The big power users like Meta and Amazon and Google have moved beyond limited chatbots like ChatGPT or DeepSeek. They are aiming beyond “AI” to “AGI” (Artificial General Intelligence), that matches or surpasses human cognitive capabilities across a wide range of cognitive tasks. Zuck plans to replace mid-level software engineers at Meta with code-bots before the year is out.

For AGI they will still need gobs of high-end chips, and these companies show no signs of throttling back their efforts. Nvidia remains sold out through the end of 2025. I suspect that when the company reports earnings on Feb 26, it will continue to demonstrate high profits and project high earnings growth.

Its price to earnings is higher than its peers, but that appears to be justified by its earnings growth. For a growth stock, a key metric is price/earnings-growth (PEG), and by that standard, Nvidia looks downright cheap:

Source: Marc Gerstein on Seeking Alpha

How the fickle market will react to these realities, I have no idea.

The high volatility in the stock makes for high options premiums. I have been selling puts and covered calls to capture roughly 20% yields, at the expense of missing out on any rise in share price from here.

Disclaimer: Nothing here should be considered as advice to buy or sell any security.

Pistol Squats Complete the Home Workout

A good strength workout includes a push, a pull, and legs. When I can get to the gym I like to alternate bench press and incline press for the push; rows and pulldowns for the pull; and squats and deadlifts for the legs. But with a baby to take care of at home, its been hard to find time for the gym. Between driving, waiting for equipment, and the actual lifts, the gym takes an hour. Doing a similar workout at home can take just 10 minutes, and has the advantage that you can watch a baby while doing it.

But the big challenge with home workouts was finding a good leg exercise. Pushes are easy: just do pushups. Pulls are pretty easy: just buy a $15 pullup bar to hang over a door. But how to do a good leg workout without costly barbells and plates that take up lots of space? Enter the pistol squat.

The idea is simply to start from a stand and lower yourself down almost to the ground on a single leg, then come back up on one leg, with the other leg out front for balance:

Source: Snapshot from this video, which shows how to do the standard pistol plus many variations

I find this to be about as difficult as doing a traditional two-legged barbell squat with 1x bodyweight on the bar. The traditional squat has two legs lifting 2x bodyweight (your body itself, plus 1x bodyweight on the bar); the pistol squat has one leg lifting 1x bodyweight (just your body itself), which is about equal. This was perfect for me because I was doing about 3 sets of 5 reps of squats with 1x bodyweight on the bar, so I just do the same number of pistol squats. But what if you’re not exactly at that weight?

Going lighter is easy– just put one hand on something sturdy nearby like a table and lean on it until it takes enough of your weight that you can do the squat. This helps with balance too if that is an issue. Going heavier is harder, but you could carry something heavy in your hands, turn the rise into more of an explosive jump, or just do more reps.

I’d still rather be at the gym, but the complete home workout seems like a good application of the Pareto Principle– you get most of the benefits of the gym while paying only a small fraction of its time and money costs.

The Greatest NBA Coach Is… Dan Issel?

Some economists love to write about sports because they love sports. Others love to write about sports because the data are so good compared to most other facets of the economy. What other industry constantly releases film of workers doing their jobs, and compiles and shares exhaustive statistics about worker performance?

This lets us fill the pages of the Journal of Sports Economics with articles on players’ performance and pay, and articles evaluating strategies that sometimes influence how sports are played in turn. But coaches always struck me as harder to evaluate than players or strategies. With players, the eye test often succeeds.

To take an extreme example, suppose an average high-school athlete got thrown into a professional football or basketball game; a fan asked to evaluate them could probably figure out that they don’t belong there within minutes, or perhaps even just by glancing at them and seeing they are severely undersized. But what if an average high school coach were called up to coach at the professional level? How long would it take for a casual observer to realize they don’t belong? You might be able to observe them mismanaging games within a few weeks, but people criticize professional coaches for this all the time too; I think you couldn’t be sure until you see their record after a season or two. Even then it is much less certain than for a player- was their bad record due to their coaching, or were they just handed a bad roster to work with?

The sports economics literature seems to confirm my intuition that coaches are difficult to evaluate. This is especially true in football, where teams generally play fewer than 20 games in a season; a general rule of thumb in statistics is that you need at least 20 to 25 observations for statistical tests to start to work. This accords with general practice in the NFL, where it is considered poor form to fire a coach without giving him at least one full season. One recent article evaluating NFL coaches only tries to evaluate those with at least 3 seasons. If the article is to be believed, it wasn’t until 2020 that anyone published a statistical evaluation of NFL defensive coordinators, despite this being considered a vital position that is often paid over a million dollars a year:

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Don’t Look Back

On the Positivity Blog are no less than “67 Don’t Look Back Quotes to Help You Move on and Live Your Best Life”. Some of these sayings from notable folks include:

“Never look back unless you are planning to go that way.”
– Henry David Thoreau

“If you want to live your life in a creative way, as an artist, you have to not look back too much. You have to be willing to take whatever you’ve done and whoever you were and throw them away.”
– Steve Jobs

“There are far, far better things ahead than any we leave behind.”
– C.S. Lewis

“Don’t cry because it’s over, smile because it happened”  

– attributed to Dr. Seuss, though that attribution is heavily disputed

The Random Vibez offers another “60 Don’t Look Back Quotes To Inspire You To Move Forward”’ including “Don’t look back. You’ll miss what’s in front of you” and “I tend not to look back. It’s confusing”.   The Bible would add sayings such as, “Let your eyes look straight ahead; fix your gaze directly before you” (Proverbs 4:25); Paul wrote to the Philippians, “One thing I do: Forgetting what is behind and straining toward what is ahead, I press on toward the goal to win the prize for which God has called me”.

The Landy-Bannister Statue

What put me in mind of this whole theme of not looking back was seeing a bronze statue involving Roger Bannister. Sports buffs, and most educated people who are over 60, will know that he was the first man to break the four-minute mile. During many previous decades of trying, no human had been able to run that fast that long: that is a velocity of 15 miles per hour, sustained for a full four minutes. That is like a full sprint for most people, or a moderate bicycling speed. 

Bannister found that he was naturally a fast runner, and he employed scientific principles in his training. (He was a medical student at the time, and went on to become a noted research neurologist).  On May 6, 1954 Bannister finally cracked the four-minute mile, with a 3:59.4 time. As may be imagined, the crowd went wild.

Records, however, are made to be broken, and just 46 days later a rival runner, John Landy, ran the mile in just 3:57.9 to become the world’s fastest man. A few months after that Bannister and Landy ran head-to-head in the August, 1954 Commonwealth games in Vancouver. Landy was in the lead nearly the whole way, with a ten-yard lead by the end of the third lap. Bannister then started his signature kick and managed to catch up with Landy on the final bend. Landy must have heard footsteps, and at the end of the race glanced over his left shoulder to gauge Bannister’s position. That distraction slowed him just enough to allow Bannister to power past him on his right side. Landy’s time was still a respectable 3:59.6, but Bannister won with 3:58.8. Both runners later agreed that Landy would have won if he had not looked back. More on that race, including link to video of it, here.

This finish of this “Miracle Mile” race was immortalized by a larger-than-life bronze statue by Vancouver sculptor Jack Harman. Landy later quipped, “”While Lot’s wife was turned into a pillar of salt for looking back, I am probably the only one ever turned into bronze for looking back.”