Modern Wisdom
Modern Wisdom

The Hidden Statistics That Control The NBA - Seth Stephens-Davidowitz - #749

Seth Stephens-Davidowitz is a data scientist, economist and author. Basketball is one of the most popular sports on the planet. Seth has used advanced AI to statistically analyse everything about the players, their backgrounds, hand-span, height, first names and more to uncover some of the wildest t

Featured Speakers

Chris Williamson Host

Topics Discussed

Episode Summary

Executive Summary: The conversation explores what determines NBA success, arguing that height, genetics, hand size, and early environment heavily shape outcomes, while hard work matters only at the margins. It also examines selection biases across countries, schools, and family backgrounds, and explains how AI tools enabled the rapid creation of the book behind the analysis.

Main Topics: Height as the dominant NBA advantage: The discussion centers on how extreme height dramatically increases the odds of reaching the NBA, making seven-footers unusually likely to reach the sport’s peak despite not always being the best athletes. Genetics and inherited traits in basketball: The speakers emphasize that basketball is unusually genetic, with height, wingspan, hand size, sprint speed, and vertical leap all strongly inherited and heavily linked to success. Height-adjusted evaluation and hidden inefficiencies: The guest describes a custom metric ('Muggsies') to compare players at equal height, arguing that shorter players like Muggsy Bogues are historically undervalued and that some combine measures are mispriced by teams. Socioeconomics, names, and family background: They discuss how middle-class, two-parent households and stable upbringings are more common among NBA players than popular narratives suggest, and how names like Chris and Michael reflect broader demographic patterns. College, early specialization, and draft value: The conversation compares elite colleges and early entry into the NBA draft, arguing that prestigious schools create early advantages but do not fully determine long-term success. Country, culture, and basketball popularity: The guest explains that a nation’s basketball output depends not just on height but also on sport popularity; volleyball’s popularity in some countries diverts tall athletes away from basketball. AI-assisted research and publishing speed: A major meta-theme is how ChatGPT Code Interpreter, plus AI image tools, let the author complete a data-heavy sports book in roughly 30 days, radically changing research and production timelines.

Key Arguments: Seven-footers have an estimated 1-in-7 chance of making the NBA, while men under 5'10 have only a 1-in-3.8 million chance, showing the huge payoff to height. Each additional inch of height roughly doubles the chance of making the NBA, indicating that selection is highly non-linear across the height distribution. Seven-footers are, on average, worse athletes than shorter NBA players on jumping, speed, shooting, and clutch performance, but height more than compensates for those deficits. Basketball is among the most genetically influenced sports because it rewards traits that are themselves highly heritable, especially height, wingspan, hand size, and vertical leap. Hand size is severely undervalued by teams; being able to palm the ball improves rebounding and dribbling, and players with wide hands outperform their draft position. Identical twins appearing in the NBA at unusually high rates is presented as evidence that genetics drive basketball success. Coming from an NBA family boosts success partly through coaching and shooting form; sons of NBA players shoot free throws better on average than other NBA players. Elite colleges provide an early-career signal and networking advantage, but long-term outcomes tend to converge. The draft helps equalize team quality in a salary-capped league and is more predictive of future NBA greatness than in many other sports. ChatGPT-generated childhood-difficulty rankings did not predict clutch choking, highlighting both the limits and the flexibility of AI-assisted research.

Data Points: Share of seven-footers in NBA: About 1 in 7 - Estimated probability that a seven-footer reaches the NBA Rarity of seven-foot height: 1 in 650,000 - Approximate prevalence of people seven feet or taller NBA odds for under-5'10 men: 1 in 3.8 million - Probability of reaching the NBA for men below 5'10 Height effect: Each inch roughly doubles chances - Described as applying throughout the height distribution Average height of American male: 5'10 - Reference point used for NBA probability comparison Identical twin pairs in NBA: 11 pairs - All reported NBA twin pairs were identical twins Son of NBA player odds: 1 in 43 - Chance the son of an NBA player reaches the NBA Average American male NBA odds: 1 in 36,000 - Baseline comparison for NBA reach probability Free throw rate of NBA players: 75% - Average free throw percentage for NBA players Free throw rate of sons of NBA players: 80% - Average free throw percentage for sons of NBA players Black NBA player share: About 80% of American-born players - Proportion of American-born NBA players who are African-American Most common NBA name: Chris - The most common name among NBA players in the discussed word cloud analysis Hands below average threshold: Below 8 inches - Players with hand width below this level performed poorly relative to draft position Wide hand size: About 12 inches - Described as hand width of some elite NBA players versus an average of about 8 inches Volleyball popularity in Iran: 5 times more popular than basketball - Used to explain why tall athletes may choose volleyball over basketball Average salary example for Bulgarian volleyball player: 300,000 euros/year - Contrasted with NBA minimum salary to illustrate opportunity cost Choking in clutch moments: More than 1 percentage point lower FT% - Average NBA player shoots free throws worse in clutch situations Seven-footer clutch dropoff: More than 6 percentage points worse - Average seven-footer free throw performance in clutch moments NBA players as sons of NBA players among top free throw shooters: 8% - Share of top 50 free-throw shooters who are sons of NBA players Overall share of NBA players who are sons of NBA players: 2% - Used as a comparison for free-throw skill concentration Top 10 NBA players who were number one picks: 60% - Claim about the draft’s predictive power among all-time greats

Pivotal Quotes: "The average NBA player shoots free throws more than one percentage point lower in clutch moments, five minutes or less on the clock. Game within five points than in other times." — Seth: Evidence that NBA players, especially taller ones, tend to choke more under pressure "Basketball seems like the sport designed in a lab to rely on genetics." — Seth: Summary of the core argument that basketball rewards highly heritable traits "If I can get the monetization right on the book on this, then I'm just, yeah, I'm going bringing those together." — Seth: Explains how AI-enabled research and self-publishing could allow many more books quickly

Implications: NBA evaluation may be missing important traits like hand size and standing leap, while overvaluing raw height and flashy athleticism. AI tools can dramatically compress research and publishing timelines, making data-driven sports analysis far more scalable.

🔓 Sign Up for Unlimited Episode Search

About Modern Wisdom

Chris Williamson in long-form conversation with the world's most interesting people - psychologists, scientists, authors, comedians and entrepreneurs - on life, science, health, fitness, business and philosophy.

View all episodes from Modern Wisdom