A Quantilizer is a proposed AI design that aims to reduce the harms from Goodhart's law and specification gaming by selecting reasonably effective actions from a distribution of human-like actions, rather than maximizing over actions. It is more of a theoretical tool for exploring ways around these problems than a practical buildable design.