Abyssal Separation Hypothesis (ASH): A Physically and Mathematically Formulated Framework Addressing the Fermi Paradox

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Authors: Chirag Rathi
Cited by: 0

Abstract

The Abyssal Separation Hypothesis (ASH) presents a rigorously reasoned, physics-based framework that addresses the Fermi Paradox by examining the structural and environmental constraints imposed by planetary formation and biosphere stratification. This hypothesis proposes that the majority of technologically capable civilizations are likely to emerge within deeply segregated planetary environments—such as subsurface oceans, dense super-Earth atmospheres, lithospheric ecosystems, or gas-giant atmospheric strata—where conditions are favorable for biological and cognitive development but fundamentally incompatible with electromagnetic transparency, astronomical observation, or large-scale spacefaring activity. ASH integrates principles from astrobiology, planetary science, geophysics, atmospheric physics, and systems theory to demonstrate that the physical separation between life-sustaining environments and space-accessible regions forms a natural, universal barrier to interstellar communication and expansion. Rather than relying on sociological speculation or extinction-based explanations, this framework emphasizes deterministic environmental limitations as the primary driver of cosmic silence. The hypothesis further suggests that intelligent life may be statistically common, while observable or communicative civilizations are extremely rare due to environmental isolation rather than evolutionary failure. In doing so, ASH contributes to a revised conceptual foundation for SETI, advocating for detection strategies that account for non-surface, non-spacefaring, and radio-inaccessible civilizations existing within stratified planetary systems.

Fields of Study & Subjects

Space Science and Extraterrestrial Life Spaceflight effects on biology Earth Systems and Cosmic Evolution

Publication details

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