Rock Paper Scissors: Strategies and History

Apr 25, 2025

Rock Paper Scissors: Strategy and History

Introduction

  • Rock-paper-scissors (RPS) decision time for chores battle.
  • Stakes: If sister wins, she escapes chores for a month.

Historical Background

  • Origins: Dates back to Chinese Han Dynasty.
  • Japan: Modern form established in the 7th century.
  • Global Spread: Became worldwide by early 20th century.

Game Notions

  • Considered a game of chance by some; a strategic system by others.
  • Used in championships and tournaments.

Basic Rules

  • Four outcomes:
    1. Tie
    2. Rock crushes scissors
    3. Paper covers rock
    4. Scissors cut paper

Psychology and Strategy

  • Predictability: Humans have predictable patterns.
  • Beginners' Mistakes:
    • Clenching fist for rock
    • Index finger out for scissors
  • Common Start: Most players start with rock.

Strategic Tips

  • First Move:
    • Don’t start with rock.
    • Paper is a strong first choice, especially against men.
  • Statistical Popularity:
    • Rock most popular; scissors least.
  • After Losing:
    • Play a move not previously used.
    • Anticipate opponent's repeat.
  • After Winning:
    • Opponent likely to change strategy.
    • Repeat your move to surprise.

Advanced Techniques

  • Eyes Closed Technique: Stay focused on strategy.
  • Switch Strategy:
    • Winners switch; losers often change.
  • Randomization: Play each move one-third of the time.

Game Theory Insights

  • Conditional Response:
    • Winners stick to winning move.
    • Losers change strategy.
  • Chinese Study:
    • 360 students, 300 rounds.
    • Identified counter tactics and mirroring.

Variations and Fun

  • Global Versions:
    • Malaysia: Rock, water, bird.
    • Indonesia: Elephant, human, ant.
  • Group Play:
    • Human rock-paper-scissors.
    • Group poses for each element.

Technological Advances

  • Robot Rock-paper-scissors:
    • Jenkin: 100% win rate using high-speed recognition.
  • Fair Play: Strategy over robot's speed.

Conclusion

  • Use learned strategies to play fair and increase winning chances against both humans and tech challenges.