Identify and challenge the paradigm the system rests on
Locate the shared belief about how things work that makes the current system seem natural — and question it.
Why it works
A paradigm is the set of implicit assumptions from which a system’s goals, rules, and information structures arise. Meadows places paradigm shifts at the top of the leverage hierarchy because changing the paradigm changes everything below it: goals, rules, and information flows all realign around the new set of assumptions. The challenge is that paradigms feel like reality rather than assumptions — they are the water that the fish cannot see.
How to do it
- Ask: "What would we have to believe about the world for the current system to make sense?"
- Write that belief explicitly as a contestable claim rather than an obvious fact.
- Find evidence that the belief is a historical construction, not a natural law.
- Introduce a competing paradigm through persuasive demonstration and persistent questioning rather than frontal argument.
Evidence
Paradigm shifts as the highest-leverage point in systems is Meadows’ synthesis. It draws on Kuhn’s structure of scientific revolutions and on historical case studies of social and organizational change, where paradigm changes produced rapid, widespread behavioral shifts that incremental parameter adjustments had failed to produce. (mechanistic)
Paradigm shifts are the most powerful lever and the most difficult to operate; they require demonstrated alternatives, social legitimacy, and often a generational change. Most practitioners have limited leverage here.
Sources
- Kuhn (1962), The Structure of Scientific Revolutions
- Meadows (1999), "Leverage Points"
Common mistake
Announcing a paradigm shift rather than demonstrating one — people adopt new paradigms through evidence and lived experience, not through proclamations, no matter how compelling.
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More practices for Leverage Points
- Rank intervention options by structural depth before choosing
Before deciding where to intervene, map the options from "change a number" to "change the paradigm."
- Change who gets what information when
Information missing from a feedback loop is often more fixable and more powerful than adding resources.
- Change what the system is optimizing for
If the goal of the system produces the behavior you want to change, change the goal.
- Strengthen corrective loops and weaken runaway ones
Find the balancing loop that should be correcting the problem — and ask why it is too weak.
- Resist the pull to optimize parameters when structure is the problem
Notice when you are adjusting numbers and ask whether the structure is the actual problem.