Leverage points to intervene in a system – Donella Meadows

In the lead up to next week’s compendium on systems thinking, here’s a banger from Donella Meadows.

She explores system leverage points.

Not a summary, but some extracts:

·        Leverage points are “places within a complex system .. where a small shift in one thing can produce big changes in everything”

·        The “state of the system” is whatever stocks are of importance (stock can be anything, money, goods, info etc.) and their quantities, relationships

·        Inflows and outflows adjust the stock, and the flow/rates can be adjusted in some ways

·        Negative feedback looks and positive feedback loops-correcting loops-adjust the inflow and outflow

·        Parameters are the numbers in a system which create a discrepancy in the flow rates; they’re “the points of least leverage”, and despite “99 percent of our attention [going to] parameters. There’s not a lot of leverage in them”

·        “People care deeply about parameters .. But they rarely change behavior”, and parameters rarely kickstart stagnant systems, nor stabilise wild systems

·        Stabilising stocks are known as buffers – and is why people keep money in a bank; increasing buffers can stabilise systems, but too much buffer makes a system inflexible, slow to react and expensive

·        The structure of systems, and materials and stocks are critically important, but not great leverage after the fact; e.g. “The only way to fix a system that is laid out wrong is to rebuild it, if you can”

·        Changing structures are rarely a leverage point because their change is “rarely simple”, and instead “The leverage point is in proper design in the first place”

·        Delays in feedback loops are also causes of oscillations, leading to overshooting and undershooting

·        Altering the strength of negative feedback loops is moving from physical parts of systems to the immaterial and info parts, where “more leverage can be found”

·        Negative feedback loops have volved throughout nature, and engineered by humans; they “keep important system states within safe bounds”

·        Feedback loops need goals, and responses, and “A complex system usually has numerous negative feedback loops that it can bring into play, so it can self-correct under different conditions”

·        Feedback loop strength depends on parameters, links, monitoring, flows and more

·        While “negative feedback loop is self-correcting; a positive feedback loop is self-reinforcing”

·        “The more it works, the more it gains power to work some more”

·        Positive feedback loops are sources of growth, explosion, erosion and collapse

·        A system with unchecked positive loop “ultimately will destroy itself”

·        “Reducing the gain around a positive loop—slowing the growth—is usually a more powerful leverage point in systems than strengthening negative loops”

·        “The most interesting behavior that rapidly turning positive loops can trigger is chaos. This wild, unpredict able, unreplicable, and yet bounded behavior happens when a system starts changing much, much faster than its negative loops can react to it”

·        “Missing feedback is one of the most common causes of system malfunction” and it’s important to restore feedback “to the right place and in compelling form”

·        Rules of a system define its scope, boundaries, degrees of freedom

·        E.g. “Constitutions are strong social rules. Physical laws …  are absolute rules … Laws, punishments … and informal social agreements are progressively weaker rules”

·        These are all “high leverage points. Power over the rules is real power”

·        “If you want to understand the deepest malfunctions of systems, pay attention to the rules, and to who has power over them”

·        Self-organising is another powerful aspect of social systems, and means “changing any aspect of a system lower on this list”

·        “The ability to self-organize is the strongest form of system resilience”

·        “The goal of a system is a leverage point superior to the self-organizing ability of a system”

·        And feedback loops, info flows etc. within a system “will be twisted to conform to that goal”

·        Nevertheless, “Whole system goals are not what we think of as goals in the human-motivational sense”

·        “Paradigms are the sources of systems. From them, from shared social agreements about the nature of reality, come systemgoals and information flows, feedbacks,  stocks, flows and everything else about systems”

·        “There is yet one leverage point that is even higher than changing a paradigm. That is to keep oneself unattached in the arena of paradigms, to stay flexible, to realize that no paradigm is “true”

Ref: Meadows, D. (1999). Leverage Points. Sustainability Institute

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