Treat errors as high-information signals that reveal system

Why This Is a Principle

This principle derives from Perception as Predictive Construction (perception as predictive construction that minimizes prediction error), Double-loop learning requires questioning the framework (double-loop learning requires questioning framework), and Learning occurs when outcomes differ from predictions, (learning from prediction error). Shannon's information theory shows errors carry more information than confirmations. The principle prescribes where to allocate analytical attention based on information density, making it actionable guidance derived from foundational truths.