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Empirical confirmation of bosonic wealth statistics in Bitcoin UTXOs

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abstract

Digitalisation transforms money from distinguishable physical objects into fungible informational units. A recent theoretical framework predicts that such indistinguishable wealth obeys bosonic occupancy statistics, leading to geometric ownership distributions and enhanced inequality. Using Bitcoin blockchain data, we test this prediction on 63 UTXO denominations across 72 monthly snapshots (2018--2023). A one-parameter geometric model describes the ownership distributions, reproducing both mean holdings and their temporal evolution; Jensen--Shannon divergence values lie below $0.08$ in $99.74\%$ of cases. The inferred inverse-temperature parameter satisfies the analytic mean--temperature relation to better than $0.1\%$ in every sample -- a self-consistency test that two-parameter alternatives cannot pass -- and remains within a narrow band across eight orders of magnitude in denomination and over six years. Bitcoin UTXO ownership statistics are therefore consistent with bosonic occupancy laws, suggesting that the informational nature of electronic money may act as a structural driver of inequality in digital economies.

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2026 1

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UNVERDICTED 1

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Thermodynamic description of wealth inequality in the world

cond-mat.stat-mech · 2026-06-16 · unverdicted · novelty 4.0

Wealth inequality follows Rayleigh-Jeans condensation from nonlinear dynamics conserving energy and norm, matching real Lorenz, Pareto, GDP, and trade data as a universal description.

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  • Thermodynamic description of wealth inequality in the world cond-mat.stat-mech · 2026-06-16 · unverdicted · none · ref 66 · internal anchor

    Wealth inequality follows Rayleigh-Jeans condensation from nonlinear dynamics conserving energy and norm, matching real Lorenz, Pareto, GDP, and trade data as a universal description.