Coin Toss Game Strategies and Insights

Aug 3, 2024

Coin Toss Game and Mathematical Principles

Overview

  • Game starts with $100.
  • Coin toss mechanics:
    • Heads: increases wealth by 80% (multiplies by 1.8).
    • Tails: decreases wealth by 50% (multiplies by 0.5).

Game Simulation

  • Simulate 1 million players over 50 rounds.
  • Graph shows average wealth grows exponentially.
  • Median and mode drop to $7.2.

Non-Ergodic System

  • Definition: Population average is different from the median outcome.
  • Average value misleads about individual outcomes.

Visualizing Outcomes

  • Wealth visualization after each flip.
  • Example: flipping 1 heads and 1 tails leads to a drop to $90.
  • Average outcome pulled up by lucky outliers.

Logarithmic View

  • Sequences of flips lead to different wealth outcomes.
  • Most common outcome: half heads and half tails.
  • Median and mode reflect the center and most common outcomes.

Just One More Paradox

  • Despite favorable odds, the overall outcome is negative.
  • Multiplicative nature of game leads to less upside at lower wealth levels.

Strategy Adjustments

  • Changing to an additive betting strategy by betting a fixed amount ($50).
  • New mode slopes upwards, equal to average wealth.
  • Questions raised:
    • Bet size adjustments when below $50 or above $1000.

Optimal Betting Strategy

  • Consider betting a fraction of wealth (1/5 or 1/10).
  • Mode growth rate derived from betting fractions.
  • Geometric mean introduced for evaluating growth rate.

Maximizing Growth Rate

  • General formula introduced:
    • F: fraction of wealth
    • B: gain per heads
    • A: loss per tails
    • P/Q: probabilities of heads/tails
  • Graph of betting fraction vs. mode growth rate.
    • Betting 0: no change, growth rate = 1.
    • Betting 1: total loss, growth rate < 1.
  • Highlighted segment shows potential for profit between 0 and 1.

Finding Optimal Fraction

  • Calculus used to find peak growth rate, resulting fraction = 0.375.
  • Mode growth rate at this fraction = 1.028 per flip.

Final Simulation

  • Simulation with million players betting 0.375 of wealth.
  • Results show median increases steadily, thanks to the Kelly Criterion.

Conclusion

  • Kelly Criterion: recommends optimal betting fraction to maximize growth.
  • Key concepts learned: probability, paradoxes, and maximizing strategies.
  • Acknowledgments for resources used in the video.