The AB Game


An entity—corporate, civic, or personal—is caught in a system where numerical metrics (votes, shares, dollars, data points) are mechanized against it.

Solution: The AB Game.

The AB game is a two-player number guessing game derived from Mastermind, where one player creates a secret 4-digit number and the other tries to guess it using feedback in the form of “A”s and “B”s. The game tests logical deduction, pattern recognition, and probabilistic reasoning. It’s often used in programming challenges and AI logic simulations to model query complexity and information entropy.

The AB game isn’t inherently rigged, but it can be rigged—especially if the codemaker violates the rules or manipulates feedback. The AB game is a microcosm of trust-based systems: it’s only fair if both sides honor the structure. Luckily, rigging it introduces modifier distortion—where feedback no longer reflects reality and meaning propagation collapses. If both players follow the rules, the game is fair and solvable through deduction. It’s a logic-based game, so its fairness depends entirely on rule integrity and transparency, or it becomes a theater of exposure, where the feedback loops illuminate the structure’s hidden asymmetries and the game reveals the illusion(s).