COHERENCE THEORY
Why anything persists — derived from first principles
One equation governs atoms, organisms, companies, and code. It derives quantum mechanics and general relativity without assuming either — from 10 priors and 7 axioms.
A pattern persists if and only if its coherence exceeds its cost across three independent dimensions: throughput, complexity, and leakage.
These three costs are mathematically orthogonal — derived from the Hodge decomposition on any finite contact graph. Not assumed. Proven.
One equation. Three domains. Real predictions.
The same selection inequality, applied to different scaffolds, produces falsifiable results — not metaphors.
Derives d=3 spatial dimensions, the Standard Model gauge group, and 3 particle generations from 10 assumptions.
No Hilbert spaces, no field equations, no gauge groups assumed. Confirmed: anisotropic expansion at >5σ in SDSS DR19.
Darwinian natural selection emerges as a theorem — not an axiom. Multi-root resilience explains why redundancy beats optimization.
Predicts that organisms with more independent survival strategies have strictly higher persistence probability than single-strategy optimizers.
Explains why feature-creep kills products: adding unused features increases complexity cost without raising coherence.
Bolting on features nobody uses adds coordination cost but zero value. The math is unambiguous — the product’s survival margin shrinks with every idle feature.
Used internally to build hiveKit products — from video generation to analytics.
15-minute overview: ten priors, three budgets, six organism elements.