Signals Interact Non-Linearly Over Time
Context
Analysis of temporal interactions between different performance and stress indicators in development environments.
Observation
Signal interactions showed increasing non-linearity over time, with correlation patterns shifting by up to 180% from initial states. Previously independent signals developed significant interactions after extended observation periods.
Insight
The relationship between different signals appears to evolve non-linearly with time. Simple additive or multiplicative models of signal interaction may become less accurate as observation periods extend.
Why This Matters
Understanding temporal complexity in signal interactions could influence how we interpret long-term patterns. The assumption of stable relationships between signals might lead to systematic interpretation errors.
Limitation
Study duration limited to six months. Longer-term interaction patterns and potential cyclical effects require additional research.