Principlev1PR-2156

Investigate pilot surprises as valuable signals of system…

Investigate pilot surprises as valuable signals of system dynamics missing from the original analysis rather than dismissing them as anomalies.

Why This Is a Principle

This principle derives from axioms about prediction error (Perception as Predictive Construction, Brain as Hierarchical Prediction Machine) to prescribe how to extract learning from pilots. It tells you to treat surprises as update signals based on how perception and learning actually work.

Source Lessons

Pilot programs as system experiments

Test systemic changes on a small scale before rolling them out broadly. A pilot program is a bounded experiment — a deliberate test of the proposed system change in a contained context where the change can be observed, measured, and refined without risking the entire organization. Pilots serve three functions: they generate evidence (does the change produce the intended outcome?), they reveal unintended consequences (what side effects emerge in practice?), and they build organizational confidence (the change has been tested and it works). System changes deployed without piloting are organizational gambles — large bets on untested designs.

Connections

Derived From (2)

AxiomPerception as Predictive Construction AxiomBrain as Hierarchical Prediction Machine

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