Stochastic Justice explores when randomness can serve as a better proxy for fairness than biased deterministic rules. Using information theory and decision science, this playground models the complex relationship between institutional corruption and procedural randomness.

The visualization shows how different types of corruption (directional bias, increased variance, systematic error) respond differently to randomness. In some corrupt systems, strategic randomness can counteract bias more effectively than deterministic reforms.

Key concepts include: information theory, institutional corruption, procedural fairness, decision science, entropy measures, and the trade-offs between fairness and efficiency in governance systems.