Sensory Escape as a Failure Mode of Intelligent Civilizations

Read full text
Authors: Chen Ruotong
Cited by: 0

Abstract

CMEM Framework Collection Link Sensory Escape as a Failure Mode of Intelligent Civilizations proposes a structural diagnostic framework for understanding large-scale adaptive failure in technologically advanced societies. Rather than attributing civilizational instability to technological inadequacy or cultural decline, this work identifies sensory escape as a systemic failure mode emerging when technological environments progressively decouple biological perception from survival-relevant feedback. Using an operational definition of consciousness as a multi-sensory survival interface, the paper analyzes how modern sensory mediation—such as visual substitution via screens, auditory suppression, and tactile abstraction—weakens threat evaluation, distorts memory processing, and overloads internal regulatory mechanisms. The analysis is framed within the CMEM (Civilization–Memory–Energy Model), focusing on conditions where external stimulation and energy input (E) exceed biological regulatory capacity (G), while diagnostic interpretation (D) is bypassed. Under such conditions, civilizations become increasingly stimulated yet progressively misaligned with environmental reality. The paper avoids metaphysical claims and instead presents testable, system-level implications across individual, developmental, and population scales, including behavioral response latency, regulatory stress markers, mental health trends, and reversibility through sensory re-engagement. This work positions sensory escape not as a cultural anomaly, but as a predictable structural failure arising from interface overload, offering a falsifiable framework applicable to education systems, mental health dynamics, and long-term civilizational stability.

Fields of Study & Subjects

Space Science and Extraterrestrial Life Paranormal Experiences and Beliefs Humanities and Social Sciences

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 January 2026
Language
EN
Document type
Preprint