Principlev1
Test pattern validity by making falsifiable predictions
Test pattern validity by making falsifiable predictions about future instances before they occur, because patterns that survive prediction testing on unseen data are structurally different from patterns that only fit historical data.
Why This Is a Principle
Derives from Hindsight Bias and Calibration Necessity (memory reconstructs toward known outcomes, requiring external calibration) and Learning occurs when outcomes differ from predictions, (learning occurs when outcomes differ from predictions). Prescribes prediction testing as the equivalent of cross-validation for personal pattern recognition.