Design new experiences that partially activate the old
Design new experiences that partially activate the old pattern while allowing different outcomes to occur, creating prediction errors that can update emotional learning.
Why This Is a Principle
This is a principle derived from multiple axioms about prediction, learning, and accommodation. Brain as Hierarchical Prediction Machine (brain as prediction machine) establishes that the brain updates models through prediction errors. Piagetian Equilibration Through Schema Dynamics (equilibration through assimilation/accommodation) explains the mechanism by which schemas update when they fail. People interpret failure as either evidence about their (interpretation of failure) shows that framing matters. The principle prescribes HOW to design experiences that trigger schema updating - not too safe (won't activate), not too overwhelming (won't process). This is actionable design guidance that follows from understanding how prediction updating works.