Pymetrics Games Risk and Decision-Making 5 — Questions and Answers
Question 1: Pymetrics' games are designed to be 'gamification-resistant.' What does this mean for candidates who try to game the system?
- The games use encryption to hide the correct answers
- Behavioral patterns across all games collectively reveal traits that are hard to fake consistently (Correct answer)
- The games are scored randomly to prevent gaming
- Candidates are monitored by a human proctor in real time
Correct answer: Behavioral patterns across all games collectively reveal traits that are hard to fake consistently
Because traits are inferred from patterns across many interdependent games, it's nearly impossible to fake coherently across all of them simultaneously.
Question 2: In a Pymetrics task where you repeatedly choose between a small immediate reward and a larger delayed reward, always choosing the immediate reward indicates:
- Strong future orientation and delayed gratification
- High present bias and preference for immediacy over larger future gains (Correct answer)
- Rational discounting of uncertain future outcomes
- Optimal risk management under time pressure
Correct answer: High present bias and preference for immediacy over larger future gains
Consistently preferring immediate smaller rewards reflects high present bias, the tendency to overweight immediate gratification.
Question 3: When Pymetrics presents a two-player game where both players benefit most by cooperating, but either player can defect for personal gain, this game structure is called a:
- Zero-sum game
- Prisoner's Dilemma (Correct answer)
- Ultimatum Game
- Dictator Game
Correct answer: Prisoner's Dilemma
The Prisoner's Dilemma is the classic game theory structure where mutual cooperation beats mutual defection, but individual defection tempts each player.
Question 4: In Pymetrics, a candidate who adjusts their risk tolerance downward after experiencing several large losses is demonstrating:
- The gambler's fallacy
- Adaptive learning and appropriate risk recalibration (Correct answer)
- The hot-hand fallacy
- Optimal expected-value maximization
Correct answer: Adaptive learning and appropriate risk recalibration
Reducing risk exposure after losses reflects adaptive recalibration, a sign of learning and prudent risk management.
Question 5: Which of the following is NOT a dimension typically measured by Pymetrics risk and decision-making games?
- Risk tolerance
- Impulsivity
- Typing speed and accuracy (Correct answer)
- Learning speed
Correct answer: Typing speed and accuracy
Pymetrics focuses on cognitive and behavioral traits like risk tolerance, impulsivity, and learning speed—not motor skills like typing speed.
Question 6: In Pymetrics' balloon-pumping risk tasks, the algorithmically 'optimal' number of pumps per balloon is typically around:
- 1-2 pumps per balloon
- The maximum possible pumps every time
- A moderate number calibrated to the expected value given the burst probability (Correct answer)
- An equal number every single round regardless of feedback
Correct answer: A moderate number calibrated to the expected value given the burst probability
Optimal BART performance involves pumping to a moderate level that maximizes expected value given the balloon's burst probability, not extremes in either direction.
Question 7: A Pymetrics employer using the platform for sales roles is most likely looking for candidates who demonstrate:
- Maximum risk aversion and guaranteed-outcome preference
- High empathy combined with moderate calculated risk-taking (Correct answer)
- Zero social awareness but high mathematical precision
- Complete indifference to reward and loss outcomes
Correct answer: High empathy combined with moderate calculated risk-taking
Sales roles typically require reading people (high empathy) combined with the confidence to take calculated risks in pursuing deals.
Pymetrics Games Risk and Decision-Making 5
Pymetrics' games are designed to be 'gamification-resistant.' What does this mean for candidates who try to game the system?