If a factory is torn down but the rationality which produced it is left standing, then the rationality will simply produce another factory. If a revolution destroys a government, but the systematic patterns of thought that produced that government are left intact, then those patterns will repeat themselves…There’s so much talk about the system. And so little understanding.—Robert Pirsig, Zen And the Art of Motorcycle Maintenance.
In Thinking in Systems, Donella Meadows uses a Slinky® to introduce a central concept about systems: that behavior is related to structure. The system, to a large extent, causes its own behavior! A system is a set of things – people, cells, molecules or whatever – interconnected in such a way that they produce their own pattern of behavior over time. A system must consist of three kinds of things: elements, interconnections, and a function or purpose. The ancient Sufi story of The Blind Men and the Matter of the Elephant illustrates the simple lesson but one that is often ignored: The behavior of a system cannot be known just by knowing the elements of which the system is made. Russell Akoff often used an automobile as an example: in order for a car to be able to transport people, its parts must be connected in a specific way; e.g. engine to transmission, etc. In a sense, behavior emerges from the structure.
Systems work well because of three characteristics:
- Resilience – the ability to bounce or spring back into shape, position, etc., after being pressed or stretched. Elasticity. Resilience arises from a rich structure of many feedback loops that can work in different ways to restore a system even after large perturbations. Because resilience is something that is very hard to see without a whole systems view, people often sacrifice resilience for stability or productivity or some more immediately recognizable system property.
- Self-Organization – The capacity of a system to make its own structure more complex, to learn, diversify, evolve. Like resilience, self-organization is often sacrificed for purposes of short-term productivity and stability, the usual excuses for turning creative human beings into mechanical adjuncts in production processes. Self-organization produces heterogeneity and unpredictability. It requires freedom and experimentation, and a certain amount of disorder. These conditions often can be scary for individuals and threatening to power structures. Out of simple rules of self-organization can grow systems of great complexity.
- Hierarchy – the arrangement of subsystems aggregated into larger subsystems, aggregated into still larger subsystems. E.g. A cell in your liver is a subsystem of an organ, which is a subsystem of you as an organism. Hierarchies evolve from the lowest level up. When a subsystem’s goals dominate at the expense of the total system’s goals, the resulting behavior is called suboptimization. Too much central control is just as damaging. To be a highly functional system, hierarchy must balance the welfare, freedoms, and responsibilities of the subsystems and total system – there must be enough central control to achieve coordination toward the large-system goal, and enough autonomy to keep all subsystems flourishing, functioning, and self-organizing.
Leverage Points – Places to Intervene in a System
Leverage points, the silver bullet, the trim tab, the miracle cure, are points of power, but are counterintuitive. Complex systems are surprising. In descending order of influence:
- Transcending Paradigms – That no paradigm is ‘true,’ that every one, including your own, is a tremendously limited understanding of an immense and amazing universe that is far beyond human comprehension.
- Paradigms – The shared idea in the minds of society, the great big unstated assumption, constitute that society’s paradigm, or deepest set of beliefs about how the world works. E.g. Growth is good. One can ‘own’ land. The selfish actions of individual players in markets wonderfully accumulate to the common good. Paradigms are the sources of systems.
- Goals – The purpose of function of the system. The diversity-destroying consequence of the push for control demonstrates why the goal of a system is a leverage point superior to the self-organizing ability of a system.
- Self-Organization – The power to add, change, or evolve system structure. In biological systems that power is called evolution. In human economies it’s called technical advance or social revolution. The genetic code within the DNA that is the basis of all biological evolution contains just four different letters combined into words of three letters each. Intervening here is obvious but unpopular. Encouraging variability and experimentation and diversity means ‘losing control.’
- Rules – Incentives, punishments, constraints. As we try to imagine restructured rules and what our behavior would be under them we come to understand the power of rules. They are high leverage points. Power over the rules is real power.
- Information Flows – The structure of who does and does not have access to information. Missing information flows is one of the most common causes of system malfunction. Adding or restoring information can be a powerful intervention, usually much easier and cheaper than rebuilding physical infrastructure.