Variance Ecology — A Theory of Irreversible Possibility and Societal Selection

This paper introduces Variance Ecology as a social-scientific application layer of the VASTIS theoretical framework. VASTIS formalises the dynamics of possibility spaces under irreversible selection. Variance Ecology applies this mechanism to societal systems: institutions, cultures, technologies, and governance structures are understood as stabilised selections within a shared possibility space. The central question is not what is possible, but what is sustainably possible. We introduce the core measure V(t) = width of functionally stable alternatives and derive three structural pathologies (under-variance, over-variance, selection density) along with corresponding normative principles (variance obligation, feedback obligation, integrity). v6 update: The formal connection between time theory (TEIL LXXXII) and system dynamics (TEIL IIa) is integrated: τ(t) = α·z(t) + γ·c(t) − β·b(t). This derivation connects selection density and transitional intensity directly via the evolution equation of the possibility space.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-27
DOI
https://doi.org/10.5281/zenodo.19254455
Primary Topic
University-Industry-Government Innovation Models
Type
article
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article

Variance Ecology — A Theory of Irreversible Possibility and Societal Selection

Bastian Brexner, Claude
Zenodo (CERN European Organization for Nuclear Research)
University-Industry-Government Innovation Models
article

Variance Ecology — A Theory of Irreversible Possibility and Societal Selection

Bastian Brexner, Claude
article en

Abstract

This paper introduces Variance Ecology as a social-scientific application layer of the VASTIS theoretical framework. VASTIS formalises the dynamics of possibility spaces under irreversible selection. Variance Ecology applies this mechanism to societal systems: institutions, cultures, technologies, and governance structures are understood as stabilised selections within a shared possibility space. The central question is not what is possible, but what is sustainably possible. We introduce the core measure V(t) = width of functionally stable alternatives and derive three structural pathologies (under-variance, over-variance, selection density) along with corresponding normative principles (variance obligation, feedback obligation, integrity). v6 update: The formal connection between time theory (TEIL LXXXII) and system dynamics (TEIL IIa) is integrated: τ(t) = α·z(t) + γ·c(t) − β·b(t). This derivation connects selection density and transitional intensity directly via the evolution equation of the possibility space.

Zenodo (CERN European Organization for Nuclear Research)
Northrop Grumman (United States) (US), Genevention (Germany) (DE)
Life in Land
Openalex Percentile: Top 5%
University-Industry-Government Innovation Models
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