Pymetrics Games Risk and Decision-Making 3 — Questions and Answers
Question 1: When Pymetrics presents a task where each balloon pop forfeits all accumulated earnings for that balloon, what does bursting many balloons suggest about a candidate?
- Superior mathematical ability
- Difficulty setting limits and controlling impulses (Correct answer)
- Exceptional memory for patterns
- High emotional intelligence
Correct answer: Difficulty setting limits and controlling impulses
Frequently bursting balloons in the BART indicates difficulty knowing when to stop, suggesting poor impulse control.
Question 2: A Pymetrics risk task offers: Option A = $5 guaranteed, Option B = 50% chance of $12 or 50% chance of $0. A rational expected-value maximizer should choose:
- Option A, because certainty is always better
- Option B, because its expected value of $6 exceeds $5 (Correct answer)
- Either option, since they are equivalent
- Option A, because risk should always be avoided
Correct answer: Option B, because its expected value of $6 exceeds $5
Option B has an expected value of $6 (0.5×$12), which exceeds the $5 guaranteed payout, making it the rational EV-maximizing choice.
Question 3: In Pymetrics, the concept of 'ambiguity aversion' differs from risk aversion because ambiguity aversion involves:
- Disliking outcomes with any chance of loss
- Preferring known probabilities over unknown probabilities (Correct answer)
- Always choosing the option with the fewest choices
- Avoiding tasks that require mental effort
Correct answer: Preferring known probabilities over unknown probabilities
Ambiguity aversion is discomfort with unknown probability distributions, whereas risk aversion concerns known but unfavorable odds.
Question 4: Which behavioral pattern in Pymetrics' financial decision games most strongly predicts a candidate suited for roles requiring bold strategic bets?
- Consistently accepting guaranteed small payouts
- Calibrated risk-taking that scales with positive expected value (Correct answer)
- Avoiding all offers below a fixed personal threshold
- Rejecting every offer in ultimatum-style games
Correct answer: Calibrated risk-taking that scales with positive expected value
Calibrated risk-taking—scaling risk-taking to expected value—demonstrates strategic boldness without recklessness.
Question 5: In a Pymetrics sequential investment game, you've lost the last three rounds. The optimal evidence-based response is to:
- Increase bets to recover losses faster
- Decrease bets until the losing streak ends
- Continue with a consistent strategy based on expected value (Correct answer)
- Quit the game entirely to preserve remaining capital
Correct answer: Continue with a consistent strategy based on expected value
Each round is typically independent, so maintaining a consistent EV-based strategy avoids the gambler's fallacy trap.
Question 6: Pymetrics measures not just what you decide but how you decide. Which response pattern signals the highest cognitive consistency?
- Making very fast choices throughout with no variation
- Showing longer deliberation for high-stakes decisions and quicker choices for low-stakes ones (Correct answer)
- Always deliberating equally regardless of stakes
- Making random choices to avoid algorithmic detection
Correct answer: Showing longer deliberation for high-stakes decisions and quicker choices for low-stakes ones
Spending more time on high-stakes decisions reflects appropriate weighting of cognitive effort to decision importance.
Question 7: In Pymetrics' risk tasks, candidates who show high 'probability matching' (choosing options proportional to their win rate rather than always picking the best option) tend to be identified as:
- Optimal rational agents
- Suboptimal decision-makers who sacrifice EV for variety (Correct answer)
- Highly risk-averse individuals
- Impulsive and emotionally driven
Correct answer: Suboptimal decision-makers who sacrifice EV for variety
Probability matching is a common human bias where people match choice frequencies to outcome probabilities instead of always picking the highest-probability option.
When Pymetrics presents a task where each balloon pop forfeits all accumulated earnings for that balloon, what does bursting many balloons suggest about a candidate?