Why this term exists
Complex systems can be rich without being noisy. The distinction matters because aggressive simplification can destroy useful structure while leaving the real source of dispersion untouched.
Definition in the system
Noise can be random, repetitive, manipulative or contextually irrelevant. It can also arise from excessive mediation: too many layers between a difference and the response it should inform.
Whether something is noise depends partly on context. A detail irrelevant to one task may be critical to another. MonkOS therefore treats noise reduction as selective rather than universal deletion.
The goal is a better signal-to-noise relation, not a sterile system. Tension, difference and Detraction can remain productive while unnecessary dispersion is reduced.
Example
A dashboard with twenty live metrics may contain more data than a dashboard with five, yet provide less signal if the operator cannot see which change affects the current decision.