Editors note: This story is part of a Feature “The Doping Dilemma” from the April 2008 issue of Scientific American. Why do cyclists cheat? The game theory analysis of doping in cycling (below), which is closely modeled on the game of prisoner’s dilemma, shows why cheating by doping is rational, based solely on the incentives and expected values of the payoffs built into current competition. (The expected value is the value of a successful outcome multiplied by the probability of achieving that outcome.) The payoffs assumed are not unrealistic, but they are given only for illustration; the labels “high,”  “temptation,” “sucker” and “low” in the matrices correspond to the standard names of strategies in prisoner’s dilemma. It is also assumed that if competitors are playing “on a level playing field” (all are cheating, or all are rule-abiding), their winnings will total $1 million each, without further adjustment for a doping advantage. —Peter Brown, Staff Editor

Game Assumptions: Current Competition

Value of winning the Tour de France: $10 million Likelihood that a doping rider will win the Tour de France against nondoping competitors: 100% Value of cycling professionally for a year, when the playing field is level: $1 million Cost of getting caught cheating (penalties and lost income): $1 million Likelihood of getting caught cheating: 10% Cost of getting cut from a team (forgone earnings and loss of status): $1 million Likelihood that a nondoping rider will get cut from a team for being noncompetitive: 50%

Case I: My opponent abides by the rules (he “cooperates”). I have two options: Case 2: My opponent cheats by doping (he “defects”). Again, I have two options:

High Payoff Sucker Payoff

I abide by the rules (I “cooperate,” too). The playing field is level. I abide by the rules (I “cooperate”). I can earn the average winnings for a competitive racer only if my opponent gets caught cheating and is disqualified.

Value of competing for one year: $1 million Expected value of competing for one year: $1 million*10%= $0.1million

Since I am not cheating, I expect no penalties: $0 Expected cost of getting cut from a team: $1 million*50%= -$0.5million

Total expected High Payoff: $1 million Total expected Sucker Payoff: $0.4million

– –

Temptation Payoff Low Payoff

I cheat by doping (I “defect”). I also cheat by doping (I “defect”). The playing field is level.

Expected value of winning the Tour de France (if I do not get caught cheating): $10 million90%= $9.0million Expected value of competing for one year (if I do not get caught): $1 million90% $0.9million

Expected penalty for cheating (if I do get caught): $1 million10%= -$0.1million Expected penalty for cheating (if I do get caught): $1 million10%= -$0.1million

Total expected Temptation Payoff: $8.9 million Total expected Low Payoff: $0.8million

Because $8.9 million is greater than $1 million, my incentive in Case I is to cheat. My incentive in Case II is also to cheat.

Game Assumptions: After Reforms

New, higher cost of getting caught cheating (penalties and lost income): $5 million New, higher likelihood of getting caught cheating: 90% Consequent new, lower likelihood that a non-doping rider will get cut from a team for being noncompetitive: 10%

Case I: My opponent abides by the rules (he “cooperates”). I have two options: Case 2: My opponent cheats by doping (he “defects”). Again, I have two options:

High Payoff Sucker Payoff

I abide by the rules (I “cooperate,” too). The playing field is level. I abide by the rules (I “cooperate”). I can earn the average winnings for a competitive racer only if my opponent gets caught cheating and is disqualified.

Value of competing for one year: $1 million Expected value of competing for one year: $1 million*90%= $0.9million

Since I am not cheating, I expect no penalties: $0 Expected cost of getting cut from a team: $1 million*10%= -$0.1million

Total expected High Payoff: $1 million Total expected Sucker Payoff: $0.8million

– –

Temptation Payoff Low Payoff

I cheat by doping (I “defect”). I also cheat by doping (I “defect”). The playing field is level.

Expected value of winning the Tour de France (if I do not get caught cheating): $10 million10%= $1.0million Expected value of competing for one year (if I do not get caught): $1 million10% $0.1million

Expected penalty for cheating (if I do get caught): $5 million90%= -$4.5million Expected penalty for cheating (if I do get caught): $5 million90%= -$4.5million

Total expected Temptation Payoff: $-3.5 million Total expected Low Payoff: -$4.4million

Because earning $1 million is better than losing $3.5 million, my incentive in Case I has changed to abiding by the rules. My incentive in Case II has also changed to playing by the rules.

Why do cyclists cheat? The game theory analysis of doping in cycling (below), which is closely modeled on the game of prisoner’s dilemma, shows why cheating by doping is rational, based solely on the incentives and expected values of the payoffs built into current competition. (The expected value is the value of a successful outcome multiplied by the probability of achieving that outcome.) The payoffs assumed are not unrealistic, but they are given only for illustration; the labels “high,”  “temptation,” “sucker” and “low” in the matrices correspond to the standard names of strategies in prisoner’s dilemma. It is also assumed that if competitors are playing “on a level playing field” (all are cheating, or all are rule-abiding), their winnings will total $1 million each, without further adjustment for a doping advantage.

—Peter Brown, Staff Editor

Game Assumptions: Current Competition

  • Value of winning the Tour de France: $10 million
  • Likelihood that a doping rider will win the Tour de France against nondoping competitors: 100%
  • Value of cycling professionally for a year, when the playing field is level: $1 million
  • Cost of getting caught cheating (penalties and lost income): $1 million
  • Likelihood of getting caught cheating: 10%
  • Cost of getting cut from a team (forgone earnings and loss of status): $1 million
  • Likelihood that a nondoping rider will get cut from a team for being noncompetitive: 50%

Game Assumptions: After Reforms

  • New, higher cost of getting caught cheating (penalties and lost income): $5 million
  • New, higher likelihood of getting caught cheating: 90%
  • Consequent new, lower likelihood that a non-doping rider will get cut from a team for being noncompetitive: 10%