Significance of Biosphere Relative Contribution to Effective Complexity of the Universe
Abstract
Significance of Biosphere Relative Contribution to Effective Complexity of the Universe Authors: Boris Kriger Affiliations: Information Physics Institute, Gosport, Hampshire, United Kingdom Institute of Integrative and Interdisciplinary Research, Toronto, Canada ORCID: 0009-0001-0034-2903 Description: This essay argues that Earth's biosphere, despite constituting only ~10⁻³⁹ of the observable Universe's baryonic mass, contributes approximately 50% of the minimal description length (MDL) required to characterize known cosmic regularities. Drawing on Gell-Mann and Lloyd's concept of effective complexity, we develop a heuristic principle of relative contribution: subsystems with high effective complexity tend to dominate system-level descriptions regardless of their physical scale. Using a toy MDL model, we estimate that cosmological regularities (Standard Model, general relativity, ΛCDM) require ~5,700 bits, while biosphere-specific regularities (genetic code, metabolism, ecology, neuroscience) require ~6,500 additional bits. This yields a "regularity density" ratio of ~10³⁷—the biosphere is vastly more information-dense than the cosmos at large. The essay addresses observer-relativity objections, distinguishes between compressible biological regularities and irreducible individual organisms, and explores philosophical implications for ontology (life as a fundamental mode of cosmic organization), epistemology (the embedded observer), and axiology (the cosmic value of preserving complexity generators). Keywords: effective complexity, biosphere, minimum description length, information theory, philosophy of biology, hierarchical systems, cosmic significance, Gell-Mann-Lloyd complexity License: CC BY 4.0 Resource Type: Preprint Related identifiers: arXiv submission (pending)
Fields of Study & Subjects
Complex Systems and Dynamics
Earth Systems and Cosmic Evolution
Philosophy and History of Science
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 January 2026
- Document type
- Preprint