Operating Principle
2–4 min read
Nonlinear systems look flat before a tipping point and abrupt after it.
Operating Question
Why It Matters
Nonlinear systems look flat before a tipping point and abrupt after it.
Supporting Evidence
Thomas Schelling; Mark Granovetter.
Research Notes
Use this as a systems diagnosis lens and test its fit against the specific operating context.
Practical Actions
Consider thresholds; seek early signals; avoid stopping before plausible tipping points.
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