Analysis measures the power-law exponent in 15 domains, suggesting self-organized criticality across scales.
We report the measurement of the power-law exponent γ across 15 independent sci-entific domains spanning 30 orders of magnitude in spatial scale — from subatomicparticles (10⁻¹⁵ m) to cosmological structures (10¹⁶ m). Using two independent estima-tion methods — ordinary least squares (OLS) in log-log space and maximum likelihood(ML, Clauset et al. 2009) — we find that γ estimates depend significantly on the fittingmethod: OLS yields γ_OLS ∈ [1.5, 2.6] while ML yields γ_ML ∈ [2.4, 4.4] on the samedata. This methodological sensitivity means that claims of convergence at a specificvalue (e.g., γ ≈ 2.0) must be interpreted with caution. Nevertheless, all 15 systemsexhibit scale-free organization, and Detrended Fluctuation Analysis (DFA) confirmslong-range temporal correlations (α ≈ 1.0, characteristic of 1/f noise) across domainsfrom an artificial cognitive system (Moldavite, α = 1.18) to solar activity (α = 1.17) andthe Saphire cognitive system (α = 0.97). These convergences suggest self-organizedcriticality as a common organizing principle, while the exact exponents depend ondomain-specific dynamics and measurement methodology.
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Jan Blanc (2026) studied this question.
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