Hasty Briefsbeta

Bilingual

I Simulated 38,612 Countryle Games to Find the Best Strategy

2 days ago
  • #Shannon-entropy
  • #geography-games
  • #Countryle-solver
  • The author enjoys geography games like GeoGuessr, Globle, Travle, and Countryle.
  • Countryle provides feedback on direction, continent, hemisphere, population, and temperature to help guess the target country.
  • The author built a solver for Countryle using five modules, each handling a different feedback type.
  • Shannon entropy was used to determine the most informative guesses by measuring how evenly a guess splits possible outcomes.
  • Greece was found to be the most informative guess for directional feedback due to its balanced distribution.
  • The solver initially used great-circle routes for direction but switched to rhumb lines (loxodromes) for more intuitive results.
  • The Mercator projection, used in Countryle, preserves angles but distorts area, especially near the poles.
  • Libya was identified as the best starting guess when balancing all feedback types, but other countries like the Republic of the Congo performed better in average solve depth.
  • The solver achieves an average of 2.85 guesses to find the target country when all modules are enabled.
  • Future improvements could include optimizing module weights and refining population and temperature bucket handling.