What Are Feedback Loops?
Feedback Loops: How Consequences Return to Influence Future Action
A feedback loop exists when a change travels through a chain of causal relationships and eventually returns to influence its point of origin. Feedback makes cause and effect circular rather than purely one-way and is central to control, adaptation, growth, decline, and instability.
A reinforcing, or positive, loop amplifies an initial change. Population growth, compound interest, contagion, and accelerating decline can contain reinforcing structures. Positive describes the loop's polarity, not whether its consequences are beneficial.
A balancing, or negative, loop opposes change or seeks a goal. Thermostatic control, inventory adjustment, and many biological regulatory processes compare an actual condition with a desired condition and act to reduce the discrepancy.
Real systems contain multiple loops operating together. A reinforcing process may dominate initially, while a balancing constraint becomes stronger as a limit is approached. Such shifts in loop dominance can produce S-shaped growth, overshoot, oscillation, or collapse.
Delays are especially important. If information, decisions, or physical responses arrive slowly, corrective action may continue after enough change is already under way. The resulting overcorrection can create cycles even when every decision is intended to stabilise the system.
Identifying a feedback loop is a hypothesis about mechanism. The links must be causally meaningful, variables must be defined clearly, and the proposed loop should help explain observed behaviour. Drawing a closed circle of arrows is not sufficient by itself.
Back to reading