Universal Consistency

Universal Consistency refers to a property of certain decision-making or learning systems whereby, as more data is collected, their predictions or decisions align more accurately with the true result or best practice. In simpler terms, it means that if you keep gathering information and updating your approach, the choices made by these systems will increasingly reflect the correct answers over time, regardless of the specific conditions they face. This concept is important in fields like statistics and machine learning, ensuring that as we learn from more examples, we get better at making the right decisions.