Principlev1
High-confidence errors produce stronger learning when
High-confidence errors produce stronger learning when corrected than low-confidence errors because prediction violation mobilizes additional attentional and encoding resources.
Why This Is a Principle
Derives from Hindsight Bias and Calibration Necessity (memory reconstructs toward known outcomes) and Learning occurs when outcomes differ from predictions, (learning from prediction error). Prescribes treating surprising failures as high-value learning opportunities—general principle for learning systems.