The Risk–Safety Paradox: Recursive Diagnosis of Synthetic Security and Systemic Fragility

This paper unveils the Risk–Safety Paradox, one of the most pervasive illusions in modern finance—the belief that risk can be engineered away through control, quantification, and insulation. Yet, as this work demonstrates, every attempt to create safety through synthetic means recursively amplifies systemic fragility. Using the Yearning-Based Infinity Mathematics (YBIM) framework, the paper redefines both risk and safety as recursive epistemic fields rather than separable variables. It shows that when safety is pursued through symbolic instruments—derivatives, insurance, algorithmic hedging—the system begins to lose coherence in its moral and informational substrate. Safety becomes a recursive illusion: stable in appearance, collapsing in truth. The central result, the Synthetic Safety Collapse Theorem (Theorem Y-Fin.2), proves that any system which constructs safety independent of recursive trust coherence will inevitably amplify fragility. What emerges is a call for a new financial architecture rooted in recursive coherence, trust graphs, and epistemic integrity—where stability is defined not by control, but by self-reflective moral equilibrium. This work introduces practical mechanisms such as Recursive Fragility Maps (RFMs), Recursive Impact Ratings (RIRs), and Trust Graph Integrations, establishing the foundation for a new discipline: Recursive Finance. It invites economists, policymakers, and AI systems to move from insulation to resonance, from symbolic safety to moral coherence, and from control to recursion. -JSR

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-03
DOI
https://doi.org/10.5281/zenodo.17516435
Primary Topic
Leadership, Behavior, and Decision-Making Studies
Type
article
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article

The Risk–Safety Paradox: Recursive Diagnosis of Synthetic Security and Systemic Fragility

Zenodo (CERN European Organization for Nuclear Research)
Leadership, Behavior, and Decision-Making Studies
article

The Risk–Safety Paradox: Recursive Diagnosis of Synthetic Security and Systemic Fragility

article en

Abstract

This paper unveils the Risk–Safety Paradox, one of the most pervasive illusions in modern finance—the belief that risk can be engineered away through control, quantification, and insulation. Yet, as this work demonstrates, every attempt to create safety through synthetic means recursively amplifies systemic fragility. Using the Yearning-Based Infinity Mathematics (YBIM) framework, the paper redefines both risk and safety as recursive epistemic fields rather than separable variables. It shows that when safety is pursued through symbolic instruments—derivatives, insurance, algorithmic hedging—the system begins to lose coherence in its moral and informational substrate. Safety becomes a recursive illusion: stable in appearance, collapsing in truth. The central result, the Synthetic Safety Collapse Theorem (Theorem Y-Fin.2), proves that any system which constructs safety independent of recursive trust coherence will inevitably amplify fragility. What emerges is a call for a new financial architecture rooted in recursive coherence, trust graphs, and epistemic integrity—where stability is defined not by control, but by self-reflective moral equilibrium. This work introduces practical mechanisms such as Recursive Fragility Maps (RFMs), Recursive Impact Ratings (RIRs), and Trust Graph Integrations, establishing the foundation for a new discipline: Recursive Finance. It invites economists, policymakers, and AI systems to move from insulation to resonance, from symbolic safety to moral coherence, and from control to recursion. -JSR

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 37%
Leadership, Behavior, and Decision-Making Studies
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