Skip to content
How to ThinkIn the Age of AI

Audit every model diagram for missing feedback loops…

After drawing a mental model, audit it for missing feedback loops by tracing whether any effects circle back to influence their own causes, because circular causation governs most complex systems but is invisible to linear thinking.

When This Fires

  • After drawing any mental model diagram (Draw mental models as boxes and labeled arrows within 10…)
  • When a model produces predictions that seem too simple for a complex system
  • During design reviews when evaluating system behavior predictions
  • Any time you've modeled a complex system and want to check for missing dynamics

Common Failure Mode

Finding no feedback loops and concluding the system is purely linear. Most complex systems have feedback loops — if your model has none, the model is almost certainly incomplete, not the system. Zero feedback loops in a model of team dynamics, market behavior, or organizational change is a model failure, not a system property.

The Protocol

After completing a mental model diagram: (1) For each effect in the model, trace forward: does this effect eventually circle back to influence any of its own causes? (2) Check for reinforcing loops (A amplifies B amplifies A — exponential growth/decline) and balancing loops (A causes B which dampens A — self-correction). (3) If feedback loops are found → add them to the diagram and evaluate how they change the system's predicted behavior. (4) If no feedback loops are found in a complex system model → the model is likely incomplete. Ask: "What could the effects of [end node] do to [beginning node]?"