SELF-REPORT UNRELIABILITY UNDER STRUCTURAL LOAD
- Don Gaconnet
- May 31
- 4 min read
Recursive Reliability Effect: In any human system operating under structural load, the reliability of self-assessment degrades as a recursive function of structural severity, such that (a) the deeper the structural failure, the less accurately the system self-reports; (b) each engagement with an external system that accepts the corrupted self-report as primary input further degrades the accuracy of subsequent self-reports; and (c) the mechanism preventing accurate self-detection is the same mechanism worsening the structural condition being assessed.
Self-assessment under structural load is systematically unreliable. This finding is confirmed across multiple independent research traditions but has not previously been unified under a single named phenomenon, quantified within the high-obligation executive population, or confirmed through convergent clinical evidence from independent research programs.
This paper introduces the Recursive Reliability Effect as the named phenomenon for the structural mechanism by which self-assessment accuracy degrades as a recursive function of structural severity: the deeper the structural failure, the less accurately the system self-reports; each engagement with an external system that accepts the corrupted self-report as primary input further degrades the accuracy of subsequent self-reports; and the mechanism preventing accurate self-detection is the same mechanism worsening the structural condition being assessed.
The contributions of this paper are: (1) the unified naming of the phenomenon across previously fragmented research domains; (2) Monte Carlo simulation at 10,000 cases quantifying the specific rates within the near-capacity executive population (81.4% domain mismatch, 95% CI: 80.7–82.2%; 73.0% depth minimization, CI: 72.1–73.9%; 61.1% compound risk, CI: 60.1–62.0%); (3) independent clinical confirmation from six published research programs using independent methodologies on independent populations; (4) the formalization of three manifestation trajectories; (5) the structural invariance argument establishing the decision-maker’s self-assessment as the one evaluation input universally present and universally unverified; and (6) five falsification criteria, each genuinely testable.
The simulation methodology, structural model architecture, and scoring parameters are proprietary to the LifePillar Institute for Structural Identity Sciences. The general principle for interrupting the recursive loop—external structural measurement that does not take the self-report as primary input—is stated as a scientific implication consistent with the established literature. Specific instrumentation and implementation methodology are proprietary.
2.1 Statement of the Effect
The Recursive Reliability Effect states: In any human system operating under structural load, the reliability of self-assessment degrades as a recursive function of structural severity, such that (a) the deeper the structural failure, the less accurately the system self-reports; (b) each engagement with an external system that accepts the corrupted self-report as primary input further degrades the accuracy of subsequent self-reports; and (c) the mechanism preventing accurate self-detection is the same mechanism worsening the structural condition being assessed.
The effect operates at three levels:
Level 1 — Inverse Reliability. Self-report accuracy is inversely proportional to structural severity. Established by Davis et al. (2006), Eva and Regehr (2005), and the cognitive load literature. Quantified within the target population at 81.4% domain mismatch (95% CI: 80.7–82.2%) by the 10,000-case Monte Carlo simulation (Gaconnet, 2026).
Level 2 — Recursive Amplification. Each traversal of an external system that takes the corrupted self-report as input operates on the wrong structural domain at the wrong structural depth. The intervention fails. The failure adds load. The additional load further degrades self-assessment. The mechanism is recursive: each cycle’s output becomes the next cycle’s degraded input. Established by the learned helplessness literature (Seligman, 1975) and the treatment-resistant depression literature.
Level 3 — Scale Invariance. The same mechanism operates at individual, organizational, and population scales. Established by family systems theory (Bowen, 1978), organizational culture theory (Schein, 1985), and dynamical systems theory (Meadows, 2008; Sterman, 2000).
2.2 Structural Distinction from Dunning-Kruger
Dimension | Dunning-Kruger Effect | Recursive Reliability Effect |
Population | Low-ability individuals | High-capacity individuals under structural load |
Mechanism | Metacognitive deficit: lacks the skill to recognize the skill deficit | Structural degradation: the assessment function runs on the substrate that is failing |
Trajectory | Static bias | Dynamic and self-amplifying: each help-seeking traversal further degrades subsequent self-reports |
Direction | Overestimation of ability | Domain mismatch (81.4%) and depth minimization (73.0%) |
Correction | Education improves metacognitive accuracy | External structural measurement required; education does not correct because the assessment substrate is compromised |
Table 1. Structural distinction between the Dunning-Kruger Effect and the Recursive Reliability Effect.
2.3 The Structural Invariance Argument
Across every documented loss scenario in high-stakes professional domains—the 60–70% of angel investments that return zero, the 58% of PE-backed CEOs replaced within two years, the fiduciary exposure in contested estates—many contributing causes vary case by case. Market conditions, timing, capital structure, competitive dynamics, and operational factors are all variable.
One evaluation input is invariant. It is universally present and universally unverified: the decision-maker’s self-assessment of their own structural capacity under load. Every evaluation methodology—behavioral interviews, board assessments, reference calls, personality inventories, coaching intakes—accepts that self-report as primary input. No existing methodology independently verifies it through channels that do not pass through the self-report function.
3. Theoretical Foundation
The established literature confirms the phenomenon. The formal derivation specifies the structural mechanism—why the degradation is recursive rather than linear—using published laws within the Structural Identity Sciences framework. The complete formal derivation is maintained at the LifePillar Institute for Structural Identity Sciences and is not reproduced in this paper.
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