The critical coherence threshold Kcrit ≈ 0. 127 is derived as a renormalization group fixed point — the sixth independent derivation alongside the dynamical (GCT cubic), thermodynamic (Landauer), information-geometric (Cramér–Rao), categorical (natural transformation), and holographic (Ryu–Takayanagi) derivations. Self-organized criticality systems at their critical point are scale-invariant and sit at RG fixed points; Kcrit is the RG fixed point of the coherence universality class. This explains cross-scale universality: at the critical point, microscopic details wash out and only the universality class remains. The upper stability boundary Kₘax ≈ 6. 87 is derived from the second zero of the RG beta function using the GCT cubic structure. Three quantitative, falsifiable predictions: (1) coherence collapse events follow a power law P (s) ~ s^-τ — the critical exponent τ is identified as an open problem with forthcoming derivation; (2) the evolutionary optimum is K* = Kcrit + ε, not K ≫ Kcrit; (3) K ≫ Kcrit produces over-correction pathology (autoimmune analogue). Cross-domain empirical program covers institutions, molecular biology (Eigen error threshold — structural correspondence established, numerical mapping forthcoming), neuroscience (Beggs–Plenz neural criticality), ecology (May stability threshold), and markets. Part of the Spektre corpus (github. com/spektre-labs/corpus).
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Lauri Elias Rainio
Specim (Finland)
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Lauri Elias Rainio (Sat,) studied this question.
www.synapsesocial.com/papers/69ada8a1bc08abd80d5bbcba — DOI: https://doi.org/10.5281/zenodo.18902226
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