The Energy Cost of Mapping Reality: Gravity, Biological Coherence, and the Subscription Model of Existence
Abstract
This work presents a formal theoretical framework describing biological existence as an energetically maintained alignment with spacetime geometry rather than a passive consequence of chemistry. Using interaction-score dynamics and gravitational mapping analogies, the study identifies a critical Gravitational Binding Threshold (GBT ≈ 0.3694) below which systems become causally unmapped from their reference frame, entering a high-cost “ghost state” characterized by sharply elevated metabolic demand. The model demonstrates that recovery from this unmapped state is not gradual but requires a discrete phase-transition energy surge (~31× baseline), interpreted as the cost of re-locking internal biological timekeeping with the host gravitational gradient. Continuous maintenance of coherent existence is framed as a Reality Subscription, paid through metabolic energy expenditure; failure to meet this cost results in persistent unmapping and eventual entropic dissolution. Comparisons with extreme gravitational environments show that causal unmapping is more severe than near-horizon gravitational time dilation, indicating that biological coherence depends primarily on coordinate connectivity rather than gravitational strength alone. The framework integrates concepts from thermodynamics, gravitational physics, and systems biology, offering new perspectives on fatigue, shock, critical illness, and sudden recovery phenomena as energetic mapping failures rather than purely biochemical events. This work is intended as a theoretical and conceptual contribution to complex systems science and does not advocate experimental or clinical intervention.
Fields of Study & Subjects
Relativity and Gravitational Theory
Biofield Effects and Biophysics
Complex Systems and Dynamics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 January 2026
- Document type
- Preprint