And yet—almost inevitably—it falls into the oldest trap:
It turns systems into things.
Systems theory cannot stop itself.
Let’s unpick why.
1. It Treats “Systems” as Ontic Units Rather Than Construals
Every systems theory—from von Bertalanffy to second-order cybernetics—begins by identifying:
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a boundary,
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components within the boundary,
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relations between the components,
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inputs and outputs across the boundary.
In other words: a system.
But “system” is already a perspectival abstraction: a way of cutting the relational field so that certain patterns become tractable.
Systems theory forgets this and slides into speaking as though systems are:
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real entities,
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distinguishable in the world,
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separable from their environment,
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identifiable independent of construal.
This is ontic drift: the moment when a description masquerades as a thing.
2. Boundaries Are Treated as Located, Not Enacted
What a systems theorist calls a boundary is simply a construal of relevance—a perspectival filter on the relational field.
The second formulation cannot escape reification; the first never risks it.
3. Inputs and Outputs Reintroduce Hidden Dualism
By relying on input–output relations, systems theory forces a split between:
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the system, and
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the environment.
Even when systems theorists protest that the boundary is arbitrary or observer-dependent, they still retain the conceptual machinery that requires the distinction to function.
This recreates the external–internal dichotomy—precisely the dichotomy relational ontology dismantles.
In relational terms:
Once you see this, input–output diagrams read more like 1950s state-machine engineering than ontology.
4. Feedback Loops Are Treated as Mechanisms, Not Construals of Constraint
Feedback loops exist only because a model construes:
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a variable,
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a dependency,
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a constraint,
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a recursive effect.
Change the cut, and the loop disappears.
Systems theory tends to forget this and treats feedback as though it is a mechanism rather than a meaning-laden construal.
5. Systems Theory Talks “Relation” but Thinks “Entity”
This is its deepest contradiction.
Its vocabulary is relational:
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flow
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interdependence
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complexity
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hierarchy
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adaptation
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networks
In other words: systems theory wants relation but defaults to an ontology of things.
Relational ontology reverses the priority:
6. Its Holism Is Representational, Not Ontological
It says:
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“Include more variables.”
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“Don’t isolate components artificially.”
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“Model the whole system.”
But all of this still assumes the “whole system” is a discoverable feature of the world rather than a constructive enactment.
Holism becomes a representational ambition, not an ontological grounding.
This is holism without wholes.
7. The System Is Not Found; It Is Made
Here is the pivot on which the critique turns:
Nothing in the world is “a system” until a perspective makes it so.
The Systems-Theoretic Mood
Relational ontology remembers.
It always remembers.
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