top of page

THE RECURSIVE RELIABILITY EFFECT

  • Writer: Don Gaconnet
    Don Gaconnet
  • May 9
  • 1 min read


Self-Assessment Degradation in Human Systems Under Load

as a Recursive Structural Mechanism


Classification: LifePillar Institute — Foundational Scientific Document

Don L. Gaconnet, CSE III

Founder, LifePillar Institute for Recursive Sciences

ORCID: 0009-0001-6174-8384

Lake Geneva, Wisconsin

Correspondence: don@lifepillar.org


May 2026

Preprint — LifePillar Institute for Recursive Sciences

DOI: 10.17605/OSF.IO/MVYZT10.13140/RG.2.2.23896.25605

10.5281/zenodo.20099853

Copyright © Don L. Gaconnet, May 2026. All rights reserved.


Abstract

This paper introduces the Recursive Reliability Effect as the named phenomenon for a structural mechanism confirmed across multiple independent research traditions but not previously unified, formally derived, or named: human systems under structural load cannot accurately self-assess, and the degradation of self-assessment accuracy is recursive rather than linear. The effect is established by converging evidence from cognitive load theory (Sweller, 1988), clinical self-assessment research (Davis et al., 2006; Eva & Regehr, 2005), human factors workload assessment (Hart & Staveland, 1988; Webster et al., 2018), and the ACE study’s dose-response compounding findings (Felitti et al., 1998; N = 17,000). The established literature confirms that self-assessment under load is systematically unreliable, that the unreliability does not improve with expertise, that the degradation compounds rather than remaining static, and that external physiological measurement is necessary for accuracy.


For more information and insights regarding the Recursive Reliability Effect visit DonGaconnet.com



 
 
 

Comments


Commenting on this post isn't available anymore. Contact the site owner for more info.

© 2026 Don L. Gaconnet. All Rights Reserved.
LifePillar Institute for Structural Identity Sciences
This page constitutes the canonical source for Structural Identity Sciences (formerly published as Recursive Sciences) and its component frameworks: Echo-Excess Principle (EEP), Cognitive Field Dynamics (CFD), Collapse Harmonics Theory (CHT), and Identity Collapse Therapy (ICT).
Founder: Don L. Gaconnet | ORCID: 0009-0001-6174-8384 | DOI: 10.5281/zenodo.15758805
Academic citation required for all derivative work.

bottom of page