Mysticism as Exhaust: A Controlled Immersion Study of Symbolic System Formation in High-Ambiguity Environments

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Authors: Mathew Walton
Cited by: 0

Abstract

Mysticism as Exhaust presents a controlled observational study of symbolic pattern formation in high-ambiguity online environments. Rather than treating mystical or belief-laden narratives as ontological claims, this work examines them as emergent by-products (“exhaust”) of human cognitive and social processes under conditions of uncertainty. Using a deliberately planned, time-bounded immersion protocol with explicit grounding and exit mechanisms, the study documents how symbolic systems converge, escalate, stabilise, and dissolve in public digital spaces. The research maintains a neutral, non-interventionist posture: predicted outcomes are distinguished from intentional actions, and no attempt is made to influence participant behaviour beyond minimal, low-information presence. The paper contributes: a replicable methodology for studying belief-laden symbolic clusters without researcher absorption, empirical observations on interpretation drift, boundary shock, and narrative inflation, and a safety-oriented framework for entering and exiting high-ambiguity environments while preserving observer integrity. All observations are drawn from public platforms, with participant identities anonymised in accordance with established ethical practice. The work does not seek to expose, label, dismiss, or discriminate against individuals or communities. Its purpose is educational: to improve understanding of how symbolic systems form and behave, to identify associated risks and vulnerabilities, and to explore how such patterns may be understood and applied constructively and ethically in scientific and societal contexts.

Fields of Study & Subjects

Paranormal Experiences and Beliefs Misinformation and Its Impacts Religious Studies and Spiritual Practices

Publication details

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