Freakonomics Radio

677. Can Backgammon Save Us from Ourselves?

with professional backgammon players and champions
12 Jun 2026 18 min read 47m

Backgammon, a 3,000-year-old game combining skill and randomness, has become a sophisticated framework for understanding probability and decision-making. The doubling cube—a mechanic invented in the 1920s—forced players to make high-stakes risk assessments similar to business and life choices. World champions have applied backgammon theory to revolutionize NFL coaching decisions, helping teams like the Eagles and Chiefs win Super Bowls by teaching coaches to be less risk-averse.

Frank Frigo
“I haven't met a human being yet that plays back gammon that the game doesn't get under their skin. That game will get to you.”
Opening hook about the game's psychological grip on players
▶ 0:12
Masayuki Mochisuki
“Back gammon is not a game that you decides the strategy. All you can do is you follow the dice's advice. You know, you're not going to against the dice. The game plan that you had in your mind that you want to that's long gone.”
Explaining how randomness forces players to abandon preconceived plans and adapt
▶ 4:48
Frank Frigo
“When you shift that objective and that metric, it really opens things up and you start to see that these risk averse decisions are actually quite wrong.”
Describing how backgammon theory revealed NFL coaches were making mathematically suboptimal fourth-down decisions
▶ 22:26
Frank Frigo
“We worked with the Philadelphia Eagles during their Super Bowl run. They used it religiously. We had buyin from top to bottom from Jeff Lurie the owner to Howie Roseman the GM to Doug Peterson and also with the Kansas City Chiefs.”
Revealing the direct application of backgammon-inspired models to NFL championship teams
▶ 23:37
Mark Olsen
“Decision making under uncertainty. That's literally what you do on every single move in back gamma. There's actually several levels to it. We do have complete information of the game. We can see all the pieces. Nothing is hidden. But we don't know the upcoming dice rolls.”
Articulating how backgammon's core mechanic mirrors the uncertainty of real-world decision-making
▶ 29:16
Freakonomics Radio explores how backgammon, one of humanity's oldest games, offers profound lessons about decision-making under uncertainty, risk management, and probabilistic thinking. The episode features interviews with world champions and top-ranked players who explain how the game's unique mechanic—the doubling cube—has influenced everything from NFL strategy to business analytics, and why the game's blend of skill and luck mirrors real life more accurately than chess.
1
The doubling cube revolutionized probabilistic decision-making Invented around the 1920s, the doubling cube forces players to continuously reassess risk-reward tradeoffs mid-game. Rather than accept a certain small loss (one point), players must decide whether the probability of winning justifies risking larger losses (two or four points). This mirrors real business decisions where you must compare guaranteed costs against uncertain future outcomes—a framework that has since been formalized in decision theory and applied to high-stakes domains like NFL strategy and commodity trading.
2
Backgammon's luck-skill ratio outperforms chess for real-world learning Unlike chess, where optimal play often creates deterministic winning paths, backgammon requires probabilistic thinking because dice introduce genuine uncertainty at every turn. This makes it a more realistic simulator of business and life decisions, where perfect information rarely exists and outcomes depend on both skill and external factors. Mark Olsen argues this teaches players to focus on decision quality (maximizing win probability) rather than outcomes alone, a critical distinction for entrepreneurs and leaders managing risk.
3
NFL teams gained Super Bowl advantages by copying backgammon theory Frank Frigo's analytics firm built models based on backgammon decision-making to quantify optimal fourth-down strategies in football. The Eagles and Chiefs licensed these models, revealing coaches had been irrationally risk-averse—surrendering possession in situations where expected win probability favored aggressive play. By reframing the objective from 'maximize yardage' to 'maximize probability of winning the game,' teams gained measurable competitive edges that contributed to multiple Super Bowl victories.