Freakonomics Radio

677. Can Backgammon Save Us from Ourselves?

Brief

Backgammon serves in this episode as both a literal game and a lens on decision‑making, community and technological change. Stephen Dubner opens at the recent New York Metropolitan Backgammon Open (January, Jersey City), where more than 400 players — including world stars like Masayuki “Mochi” Mochizuki — gathered. Mochi’s early elimination and subsequent money games illustrate the core theme: backgammon marries active skill with unavoidable luck. Players from hobbyists to grandmasters (Melissa Shin, Bob Wachtell, Mark Olson, Frank Frigo) repeatedly described the game as a condensed training ground for probabilistic thinking, timing and emotional control; Frigo summed it up by linking the doubling cube’s strategic leverage to life decisions and to the very real tradeoffs coaches face in the NFL.

The episode tracks two parallel arcs: a social renaissance and a technical revolution. On the social side, Remy Davenport has built the NYC Backgammon Club and a multi‑city league that grew from 64 to 235 participants, pushing a return to in‑person play and more inclusive club culture (she notes women still comprise roughly 10% of tournament fields). Bob Wachtell reminisces about the 1970s–80s glamour and hustle—Hefner‑era celebrity tables and high stakes—which contrasts with today’s normalized scene. On the technical side, hosts and guests describe a transformation driven by neural‑network engines (TD‑Gammon lineage), analysis tools like XG (acquired recently by Travis Kalanek) and platforms such as Backgammon Galaxy (Mark Olson: ~220,000 users, 25 employees). Those tools have raised the top level of play, made mistake rates measurable and shifted how people learn the game. Frigo also explains a concrete spillover: he and a cofounder built a detailed NFL simulation, licensed by roughly a dozen teams (including involvement with the Eagles and Chiefs), arguing that a backgammon‑style objective function — maximizing win probability, not naive risk aversion — reshaped fourth‑down decision making. The guests generally agree on backgammon’s value as a mind sport and social glue, but they differ in tone: some celebrate the measured, study‑driven professionalism of today, while others (Wachtell) mourn the vanished volatility and color of the old money‑game era.

Why it matters

The New York Metropolitan Backgammon Open (January, Jersey City) drew more than 400 players from countries including the U.S., Germany, South Africa, Greece and Peru; Masayuki “Mochi” Mochizuki (described by Stephen Dubner as arguably the best backgammon player alive) flew in from Japan but was eliminated in round one and later played money games at the tournament site.

Key details

  • Frank Frigo (two‑time World Backgammon Champion, wins in 1994 and 2023) emphasized backgammon’s mix of skill and randomness, explained the doubling cube’s strategic role, and described how he and partner Chuck Bauer built a full-season NFL simulation model that they licensed to about 12 NFL teams (including the Philadelphia Eagles and consulting links into the Kansas City Chiefs), which Frigo says influenced modern fourth‑down and risk‑management decisions.
  • Mark Olson co‑founded Backgammon Galaxy (launched in its current form ~2022) and reported the platform has about 220,000 users, a 25‑person team, subscription revenue plus in‑game social coins, and hosts an annual World Championship in Monte Carlo; Olson also traced the game’s modern analysis leap to neural‑network engines (TD‑Gammon lineage) and built Galaxy atop superhuman play models.
  • Remy Davenport founded the New York City Backgammon Club and a city league that grew from 64 participants in season one to 235 in season four; she said U.S. tournament attendance is ~10% women and argued the current renaissance is driven by people seeking in‑person, offline social experiences.
  • Bob Wachtell and others recalled the 1970s–80s backgammon boom—high‑stakes tables, celebrity culture (Hugh Hefner cited), and hustling—contrasting that era’s chaotic money action with today’s more normalized, analytics‑driven play; Wachtell said neural nets made clear who was actually a weak player and diminished some gambling action.
  • Extreme Gammon (XG), long the go‑to analysis engine since 2009, was acquired “last year” by Travis Kalanek (transcript spelling) and is expected to receive new AI/ML investment; the podcast situates these tech advances as central to both higher‑level play and coaching/teaching growth across clubs and online platforms.
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