Habit as Phase Bypass: Why Bad Patterns Persist Without Bad People

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Authors: Gyurine
Cited by: 0

Abstract

This paper reframes habitual behavior, cultural inertia, and harmful social customs as structural phenomena rather than moral or motivational failures. Within the IPCSALT–UPF framework, habits are defined not by repetition frequency, but by execution architecture—specifically, by the emergence of a Phase Bypass Operator that suppresses MMS re-check (|PLV|, D, IW, BPR, τ, ΦDark), eroding override capacity and return-to-reversibility (RtR). The paper distinguishes Adaptive Automation (expertise) from Rigid Automation (habit-lock) based on whether anomaly detection, intervention windows, and rollback paths remain accessible. Habit-lock arises when these safeguards are structurally deleted, producing phantom stability in Q2 regimes (External Expansion × Internal Collapse), where observable order masks internal fragility. The Automation Gradient—from belief and procedural scripts to metricization and default execution—explains how personal routines scale into institutional norms. Metricization is identified as the decisive turning point at which habits become self-reinforcing through external reward loops, systematically eroding unmeasured dimensions of recoverability. Using MMS-based diagnostics, the paper shows that harmful customs persist not because they are endorsed, but because escape becomes structurally expensive while reproduction remains cheap. Change is constrained less by willpower than by the cost geometry of phase space. Finally, the paper outlines design implications for restoring recoverability by making MMS re-check affordable, preserving rollback options, widening intervention windows, and protecting slack as resilience infrastructure. Progress, it argues, depends not on better people, but on better paths.

Fields of Study & Subjects

Behavioral Health and Interventions Complex Systems and Decision Making Complex Systems and Dynamics

Publication details

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