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The Invisible Precipice — Announcing My Latest Research on the Psychosocial Pressure Index (PPI)

By Don Gaconnet


Published: November 2025

Tags: collapse harmonics, recursive science, psychosocial pressure index, systemic resilience, metastable states


A New Phase in My Scientific Work


Today marks an important milestone in my ongoing work in Collapse Harmonics and Recursive Sciences.


My latest article, “The Invisible Precipice: Why America’s Apparent Stability May Be Masking a Metastable Crisis,” has now been formally published across multiple research platforms:


OSF Preprint: https://osf.io/mvyzt/



ResearchGate: Read on ResearchGate


Don Gaconnet, Psychosocial Pressure Index, Collapse Harmonics, Recursive Sciences, metastable states, systemic resilience, early warning systems, government shutdown 2025, SNAP crisis, LifePillar Institute


This paper represents the first applied, real-world validation of my theoretical framework for Collapse Harmonics—the lawful science describing how complex systems accumulate stress, self-stabilize, and eventually reorganize through lawful phase transitions.


From Theory to Application: The PPI System


Over the past two years, I have developed the Psychosocial Pressure Index (PPI)—a multi-dimensional monitoring framework designed to detect metastable states in population-level psychosocial dynamics.


The PPI integrates behavioral, economic, institutional, and environmental data to quantify systemic stress in real time.


In November 2025, the PPI detected the configuration I describe in The Invisible Precipice—a U.S. social-political system showing critical pressure in social and economic dimensions but appearing outwardly stable due to institutional buffering and narrative coherence.

This divergence pattern has historically preceded major systemic transitions.


The PPI is the first operational tool derived directly from the Recursive Sciences architecture:


Collapse Harmonics provides the lawful structure of systemic phase change.


Substrate Collapse Theory defines how identity and institutions compress under stress.


Newceious Substrate Theory identifies the coherence substrate that persists beneath collapse.


Together, they provide a coherent method for lawful early-warning detection of systemic instability.


Why This Work Matters Now


As the United States faces government shutdowns, SNAP benefit strain, and record polarization, surface indicators of stability coexist with deep systemic stress.

The PPI framework reveals this metastable configuration—the condition where a system appears balanced but is energetically primed for abrupt transition once a critical threshold is crossed.

Understanding this dynamic is essential for resilience planning, governance reform, and the science of anticipatory systems.


Expanding My Independent Research Path


The publication of The Invisible Precipice signals the next phase of my independent scientific work:


Applying Recursive Sciences to national and regional early-warning analytics.


Developing new applied instruments for systemic stress detection and adaptive response.


Collaborating with institutions seeking to implement lawful, data-driven methods for resilience forecasting.


This is the beginning of a wider movement—from theory to measurable application—bringing the lawful architecture of complex system behavior into public and policy awareness.



Gaconnet, Don. 2025. “The Invisible Precipice: Why America’s Apparent Stability May Be Masking a Metastable Crisis.” LifePillar Institute for Collapse Harmonics & Recursive Sciences. DOI: 10.5281/zenodo.17507503

 
 
 

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Architect of Collapse Harmonics

https://www.pubpub.org/user/don-gaconnet

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© 2025 Don Gaconnet. All rights reserved.
All content, frameworks, methodologies, and materials on this website—including but not limited to Identity Collapse Therapy (ICT), LifeSphere Dynamics, LifePillar Dynamics, Lens Integration Therapy (LIT), the Resonance Shift Framework, and all related intellectual property—are the sole property of Don Gaconnet. These works are protected under applicable copyright, trademark, and intellectual property laws. Any unauthorized use, reproduction, distribution, or modification of this content is strictly prohibited without prior written permission.

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