Across nature, spiral geometry recurs in galaxies, hurricanes, shells, DNA helices, and neural activity. This work proposes a unifying mechanism: spiral transport minimizes loss, resonance reinforces phase coherence, and closed feedback loops stabilize structure and control. Together, these ingredients create a scaffold that guides how matter arranges, how information flows, and when systems cross from reactive responses into adaptive, model-based behavior. A 3D helical/spiral structure leaves predictable 2D fingerprints under projection or transform: localized annular power and excess in specific azimuthal modes, which motivates concrete measurements in data.Falsifiable predictionsWeak lensing: a slight excess of geometry-tied spiral/annular features in shear/convergence (mass) reconstructions relative to matched nulls.Cosmic web: a statistically significant twist/alignment bias in filament orientations beyond random expectation, robust across catalogs and parameters.Late-time expansion (exploratory): minor, direction-dependent signatures correlated with large-scale structure.Coherence transitions: phase-coherence jumps coincident with behavioral inflection points in brains, organoids, and agent simulations.Testing postureClean nulls (parity flips, phase-scramble, random centers/time-shuffle) and preregistered thresholds constrain contributions; convergent positives across independent datasets argue for incorporating spiral transport and resonance explicitly into models. Methods, data links, and suggested preregistration notes are included to enable straightforward independent replication and to make negative results first-class outcomes.Author noteI am an independent, self-taught theorist. This is an invitation to test, critique, and improve the ideas. Collaboration is welcome.
Lauren Lozano Reynoso (Sun,) studied this question.
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