Principlev1
Calculate moving averages over fixed observation windows to
Calculate moving averages over fixed observation windows to filter noise and reveal underlying signal direction in performance metrics.
Why This Is a Principle
Derives from Automatic Pattern Perception (pattern detection in noise) and Process variation consists of two fundamentally different (common vs special cause variation). It prescribes a specific technique (moving averages) that follows from the axiom that patterns exist but must be distinguished from noise. General enough to apply across domains but specific enough to be actionable.