When we describe a system as non-linear, we are often admitting that our model is incomplete. Non-linearity is not some mystical property that suspends causality; it is usually a signal that additional relationships, constraints, feedback loops, delays, thresholds, or interacting variables are shaping the outcome in ways we have not yet resolved. Those hidden variables may be extraordinarily complex, perhaps even practically impossible to enumerate, but they remain part of the causal structure. What appears as unpredictability is frequently the shadow cast by dimensions we are not measuring. The temptation is to treat non-linearity as an explanation in itself. It is better understood as evidence that the explanation is not yet finished.
Categories
system dynamics: non-linearity
Non-linearity is rarely an explanation in itself. More often, it is a sign that causal structure is richer than our current description captures.
