The Strategist's Multi-Layer Blind-Spot Framework: Seven Layers of Blindness, Eighteen Levels of Lock-In, and the Bidirectional Coupling Closure
Year: 2026
Type: article
Abstract: This paper presents a structural theory of how strategic decision-making systems fail — not through the errors of individuals, but through the layered architecture of blindness that surrounds every observation. It proposes seven nested layers of blind spots (cognitive, informational, institutional, organisational, paradigmatic, linguistic and existential), each of which constrains what the layer above it can perceive. It then specifies eighteen levels of lock-in (L1–L18) through which a system's earlier successful adaptations progressively foreclose its later options, and shows that the two structures are not independent: they form a positive-feedback closure in which blind spots generate the interventions that deepen lock-in, and lock-in in turn manufactures the blind spots that conceal it. Five foundational axioms govern the framework: nestedness, observer embeddedness, the ineradicability of blind spots, bidirectional coupling, and the non-nihilistic character of deconstruction. The framework is presented as falsifiable rather than prescriptive. Appendix B states five principal propositions — the invalidation of early weak signals, the negative returns of late strong intervention, the monotonic decline of system redundancy, the negative correlation between pressure and dissent, and the outward displacement of security narratives — together with twelve derived sub-propositions, each specifying the observation that would refute it. The paper concludes that no institutional design can eliminate blind spots, because the designer is situated inside the structure being designed. What remains possible is not removal but management: lowering the gain of the coupling, preserving system redundancy, and keeping alternative paths reversible.
Author: Wang, Xiangkun
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225589925