Guess Who Calculator

This tool provides a domain-focused decision aid for Guess Who gameplay. It accepts the number of remaining characters and optional attribute data, then computes the most informative next question using an information-theory model. Conceptually, it treats each possible question as a split that partitions the remaining set; the ideal question minimizes expected remaining uncertainty. The output includes the recommended question, the anticipated information gain, and the projected range of remaining candidates. Audience-wise, it benefits casual players, teachers, and game-night groups seeking reproducible, efficient play. Unique value lies in its explicit information-theoretic approach, support for custom attributes, and clear, quantitative guidance on strategy. Core features include a top-question suggestion, a numeric information_gain score (0–1), and a concise remaining-candidate range. Use cases span family game nights, classroom practice with logic reasoning, and coaching sessions where quick, data-driven decisions improve engagement. The tool remains agnostic to specific Guess Who editions, as long as attributes are provided, enabling flexible adaptation to different character sets and rule variants. In educational settings, it can illustrate basic information theory, decision trees, and probabilistic reasoning through a tangible, familiar game. The absence of UI design considerations ensures the tool remains focused on the underlying domain logic and calculation accuracy.