What Is Circular Causality? Definition and Examples

Circular causality is the idea that cause and effect don’t move in a straight line but instead loop back on themselves, with each element in a system simultaneously influencing and being influenced by the others. Instead of A causing B causing C in a neat chain, circular causality describes patterns where A affects B, B affects C, and C feeds back to affect A again, creating a continuous cycle. The concept originated in engineering and mathematics but has become a foundational idea across psychology, biology, economics, and ecology.

Linear vs. Circular Causality

Most people grow up thinking about cause and effect as a straight line. You flip a switch, the light turns on. One thing leads to another in a predictable, one-directional sequence. This linear model was the backbone of traditional experimental science and deeply influenced fields like psychotherapy, where a patient’s problem was traced back to a single root cause.

Circular causality challenges that framework. Rather than looking for the one thing that started a problem, it focuses on how multiple factors continuously shape each other. In a circular system, there’s no clear starting point. Every element is both a cause and an effect. This shift matters because it changes the kinds of questions you ask. Instead of “What caused this?” you ask “What keeps this pattern going?”

Origins in Cybernetics

The concept traces back to a series of conferences sponsored by the Josiah Macy Jr. Foundation from 1946 to 1953. The conferences had a telling title: “Circular Causal and Feedback Mechanisms in Biological and Social Systems.” Anthropologists Gregory Bateson and Margaret Mead recognized that engineers and mathematicians had developed powerful ideas around circular causality and feedback, and they pushed to introduce these ideas to social scientists. Together with conference chairman Warren McCulloch, they coached participants from very different disciplines on how to communicate across their fields.

From these meetings, cybernetics emerged as the study of how systems regulate themselves through feedback. The core insight was simple but powerful: in any system where the output loops back to influence the input, behavior becomes circular rather than linear.

How Feedback Loops Drive Circular Systems

Circular causality operates through two types of feedback loops, and they produce very different outcomes.

A negative feedback loop reduces the effect of a change and helps maintain balance. Your body uses negative feedback constantly to stay stable. When your blood sugar rises after a meal, cells in the pancreas detect the excess glucose and release insulin, which signals your muscles, fat cells, and liver to absorb the sugar. Blood glucose drops back to normal, and insulin release slows. Body temperature works the same way: when you overheat, you sweat; the cooling brings your temperature back down, which reduces sweating. These loops are circular because the output (lower blood sugar, cooler skin) feeds back to dampen the original signal.

A positive feedback loop amplifies change instead of correcting it, pushing a system further from where it started. Climate science offers a clear example. As global temperatures rise, ice sheets and sea ice melt, exposing darker land and ocean surfaces. Those darker surfaces absorb more heat than reflective ice would, which raises temperatures further, which melts more ice. Another loop involves water vapor: a warmer planet evaporates more water from the surface, and water vapor traps heat in the atmosphere, which causes more warming and more evaporation. These self-reinforcing cycles are already accelerating changes within the climate system.

Circular Causality in Family Therapy

The concept found one of its most practical applications in family systems therapy. Traditionally, therapists looked for a single cause of a family’s problems, often pointing to one “troubled” member. Circular causality reframed this entirely. Instead of asking who started the conflict, therapists began examining the patterns of interaction that kept conflict alive.

In the simplest version, one person’s behavior affects a second person’s behavior, and that second person’s response feeds right back into the first person’s next action. A parent criticizes, the teenager withdraws, the withdrawal frustrates the parent, and the criticism intensifies. No one “started” it in any meaningful sense. Both people are simultaneously shaping each other’s behavior. This perspective, rooted in the cybernetic idea that one part of a system always impacts another, moved therapy away from blaming individuals and toward understanding relational patterns. The focus shifted from “What’s wrong with this person?” to “What’s happening between these people?”

Circular Causation in Economics

Swedish economist Gunnar Myrdal applied circular thinking to social and economic problems, developing what he called the theory of cumulative causation. His core argument was that social phenomena can be reinforced by the very factors that created them. The variables underlying a problem converge, feed back into each other, and build up over time into a multiplier effect.

Myrdal used this framework to analyze U.S. race relations in his 1944 book “An American Dilemma.” He described what he called a vicious circle: discrimination limited economic opportunity, limited opportunity reinforced social disadvantage, and that disadvantage was then used to justify further discrimination. Each factor strengthened the others in a self-sustaining loop. He applied the same logic to poverty in developing nations, where low investment, poor infrastructure, and limited education fed into each other across generations.

Importantly, Myrdal argued that these circular forces could work in either direction. The same feedback dynamics that trap communities in poverty can, if redirected, create virtuous circles where improvements in one area reinforce gains in others. He criticized economists who relied on pure economic logic alone, insisting that culture, institutions, and social conditions all play roles in these interlocking cycles. His interdisciplinary approach reflected the core principle of circular causation: problems are multifaceted, with many interdependent variables reinforcing one another over time.

Why the Distinction Matters

Thinking in circles instead of lines changes how you approach problems. Linear thinking pushes you to find the one cause, fix it, and expect the problem to resolve. Circular thinking asks you to map the whole pattern: what feeds into what, where the reinforcing loops are, and which point in the cycle is most accessible for intervention. A therapist working with a couple doesn’t need to determine who “started” the argument. A policymaker tackling poverty doesn’t need to identify the single root cause. Both benefit from seeing the feedback loops that keep the pattern locked in place.

This framework also explains why some problems resist simple solutions. When causes and effects are woven into loops, addressing just one element often isn’t enough, because the rest of the cycle regenerates it. Breaking a vicious circle typically requires intervening at multiple points simultaneously, disrupting the feedback that holds the pattern together.