Consciousness and the Geometry of Distortion

This paper proposes that consciousness science has overlooked a crucial distinction: the difference between consciousness and the distortion of consciousness. Using ΔS as a candidate formalism, it argues that subjective suffering and rigidity arise when experience is organized around exaggerated self-reference rather than integrative orientation. The paper does not claim to solve consciousness, but to add a missing structural dimension to the debate—one with implications for philosophy, trauma, development, and AI. In short, consciousness cannot be fully understood until it is distinguished from the geometry of its distortion.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-16
DOI
https://doi.org/10.5281/zenodo.19051445
Primary Topic
Philosophy and Theoretical Science
Type
article
Field-Weighted Citation Impact
0.00
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article

Consciousness and the Geometry of Distortion

Ernie L. Vecchio
Zenodo (CERN European Organization for Nuclear Research)
Philosophy and Theoretical Science
article

Consciousness and the Geometry of Distortion

Ernie L. Vecchio
article en

Abstract

This paper proposes that consciousness science has overlooked a crucial distinction: the difference between consciousness and the distortion of consciousness. Using ΔS as a candidate formalism, it argues that subjective suffering and rigidity arise when experience is organized around exaggerated self-reference rather than integrative orientation. The paper does not claim to solve consciousness, but to add a missing structural dimension to the debate—one with implications for philosophy, trauma, development, and AI. In short, consciousness cannot be fully understood until it is distinguished from the geometry of its distortion.

Zenodo (CERN European Organization for Nuclear Research)
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Philosophy and Theoretical Science
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Consciousness and the Geometry of Distortion — Ernie L. Vecchio · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS