Principlev1
Establish explicit, falsifiable hypotheses with measurable
Establish explicit, falsifiable hypotheses with measurable outcomes and proposed mechanisms before attempting behavior change to enable genuine learning through prediction error.
Why This Is a Principle
Derives from Brain as Hierarchical Prediction Machine (brain as prediction machine), Learning occurs when outcomes differ from predictions, (learning from prediction error), and Hindsight Bias and Calibration Necessity (memory reconstruction requires external calibration). The principle prescribes pre-stating expectations to generate learning signals, which follows from how prediction error drives updating.