Clarity, Noise, and Coordination_ Why Human Systems Trade Truth for Stability Under Constraint
Abstract Human societies routinely preserve narratives, fantasy, and symbolic noise even when these distort reality, while resisting clarity that would seemingly improve understanding. This paper explains why that pattern is structurally necessary rather than accidental or irrational. Humans are modeled as equilibrium-seeking coordination systems operating under binding constraints of energy, attention, threat, time, and social bandwidth. Under such constraints, coordination cost dominates selection. Noise, fantasy, and symbolic distortion function as coordination infrastructure: they reduce negotiation overhead, stabilize identity, and amortize uncertainty across groups. Attempts to remove these structures without replacement increase instability rather than insight. The framework is strictly mechanistic and falsifiable. It introduces no moral hierarchy, developmental ladder, or prescriptive program. Clarity is treated as locally valuable but globally costly: while it improves individual coherence and decision quality, it raises system-level coordination costs faster than replacement structures can typically be instantiated. Human systems therefore select against unbuffered clarity at scale. The paper formalizes a governing invariant: removing coordination structures faster than replacement structures can form produces destabilization, not progress. This invariant explains immune responses to clarity, persistence of belief systems after disproof, fragility of high-throughput individuals, and failure modes of deconstruction without reconstruction. The contribution is classificatory rather than argumentative, unifying insights across social theory, information theory, and institutional analysis within a constraint-first model.
Authors
- Devin Bostick
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-01-12
- DOI
- https://doi.org/10.5281/zenodo.18217679
- Primary Topic
- Artificial Immune Systems Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00