I Simulated 38,612 Countryle Games to Find the Best Strategy
Summary
A Geo puzzle solver article summary: The author investigates Countryle by developing a modular solver that treats five feedback channels (direction, continent, hemisphere, population, temperature) as filters and scoring signals. They use Shannon entropy to measure how informative a guess is and combine module scores to propose the next move. The solver is tested by simulating every possible game across 197 countries, totaling 38,612 valid target-start pairs, and achieves an average of 2.85 guesses. Results show continent alone is weak, while direction and population/temperature channels offer stronger signals; Libya often serves as a strong starting point under equal-weight entropy, though other countries can outperform it on average. The article also discusses visualizations, geographic projections, and future improvements such as weight optimization and handling bucket boundaries.