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Compulsive Health-Tracking as Wellness-Surveillance Wrong Attractor: The Biometric-Obsession Architecture, Embodied-Trust Foreclosure Basin, and the Return to Calibrated Somatic Presence

Rincón, D. · 2026 · Zenodo · wellness-surveillance wrong attractor

This is the record, not the paper. The work itself is the deposit on Zenodo, under the DOI below. What follows is its abstract, as deposited.

Wearable biometric devices and health-tracking applications have proliferated rapidly, promising to translate the body's processes into legible data streams. For a significant subset of users, however, the monitoring relationship inverts: rather than supporting autonomous somatic judgment, continuous self-quantification becomes a wrong attractor that forecloses the very embodied trust it ostensibly cultivates.

We introduce a formal framework in which ground state S^0 denotes calibrated somatic presence—the baseline condition of integrated, non-anxious body-awareness—and W denotes the compulsive health-tracking / biometric-obsession regime. The displacement cost function D() measures the energetic and epistemic cost of sustaining position in the state space of self-monitoring intensity, and = D()\,dt accumulates that cost across a monitoring episode.

We characterize the biometric-obsession architecture as a feedback loop with three reinforcing subsystems: data-hunger (the compulsion to generate new measurements), verdict-dependency (routing somatic self-trust through numerical readouts), and foreclosure (the gradual attrition of pre-reflective bodily confidence). Nine propositions articulate the structure of this wrong attractor, its basin geometry, and the conditions under which return to S^0 is possible.

The paper concludes with clinical and design implications, arguing that the therapeutic aim is not anti-technology asceticism but recalibration—restoring the body as the primary interpreter of its own signals.

displacement framework · wrong attractor · psychology

Read the deposit on Zenodo →doi 10.5281/zenodo.20425214

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