Epistemic Frustration: Dimensional Collapse and the Limits of Falsifiability in Complex Systems
What's this about?
Complex systems undergo a predictable transition from truth-seeking to coordination-preserving epistemics — and this explains why mature institutions resist evidence, moralize dissent, and absorb anomalies rather than revising their frameworks.
When high-dimensional optima project into low-dimensional discourse, the "right answer" can map to contradictory positions. Different agents seeing different constraints are each locally correct but globally incompatible. This is epistemic frustration — disagreement that is geometric, not epistemic.
As coordination stakes increase, systems shift from epistemic-first (truth-seeking) to coordination-first (stability-seeking) regimes. This isn't irrationality — it's optimization under a different objective function. The paper provides a quantitative diagnostic: systems become unfalsifiable when error-model degrees of freedom exceed informational constraints.
Key findings
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Epistemic frustration: high-D optima projecting to contradictory low-D positions
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Coordination-first transition: predictable shift under high stakes
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DOF diagnostic for unfalsifiability: R = error-model DOF / informational constraints
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Scale-bound normativity: local moral intuitions becoming globally misleading
Citation
Todd, I. (2025). Epistemic Frustration: Dimensional Collapse and the Limits of Falsifiability in Complex Systems. Biology & Philosophy (in preparation).
Workflow: Claude Code with Opus 4.5 (Anthropic) for drafting and simulation code; GPT-5.2 (OpenAI) and Gemini 3 Pro (Google) for review. Author reviewed all content and takes full responsibility.