The article introduces a web application designed to help users identify their favorite movies through pairwise comparisons. The tool uses a ranking system inspired by the Elo rating method used in chess, where each movie earns or loses points based on user preferences during comparisons. Instead of requiring users to compare every film against every other one—which would be time-consuming—it employs principles from 'Active Ranking' research to minimize the number of comparisons needed while still achieving accurate results. The application draws from the top 500 best-rated films on Letterboxd but allows users to add their own films as well. This approach enables users to statistically determine their personal favorites more efficiently.
Bias read (Center): The article discusses a technological tool for determining personal movie preferences using statistical methods. It does not involve political topics, figures, policies, or controversial issues. The content is purely technical and focused on software development and user interaction.

