The Dominance of Environment over Entity's Capabilities

TL;DR

This paper develops an analytical framework showing that environmental factors often dominate an entity's success probability over its own capabilities, with implications for understanding inequality and mobility.

Contribution

It introduces a new probabilistic model based on environmental asymmetry and derives insights into the dominance of environment over individual capacity.

Findings

Success probability depends mainly on environmental favorability, not individual capacity.

Variance in outcomes is driven by environmental factors more than individual exploration ability.

The framework aligns with previous simulation results and explains inequality and mobility phenomena.

Abstract

We present an analytical framework for the probability of individual success based on a single structural asymmetry between the capacity of an entity to explore possibilities, $k$, and the size of the possibility space offered by the environment, $n$, where $k \ll n$. We introduce an effective density $\rho_{\rm eff}$ of favorable possibilities accessible to a given entity, derive the probability of success as $P \approx 1-(1-\rho_{\rm eff})^k$, and decompose its variance across a population. We show that while the elasticities $\varepsilon_\rho$ and $\varepsilon_k$ are comparable, the variance of outcomes is dominated by ${\rm Var}(\ln \rho_{\rm eff})$ whenever it exceeds ${\rm Var}(\ln k)$. A back-of-envelope calibration based on published inequality and productivity data indicates this condition holds by two to three orders of magnitude. The framework provides an analytical complement to the simulation result of Pluchino, Biondo and Rapisarda (2018), and offers a unified structural account of geographic inequality, intergenerational mobility and accessibility-based discrimination as special cases of the narrowing of the accessible set $A(E,P)$.