Across nature, spiral geometry appears 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.The paper outlines falsifiable predictions: (i) geometry-tied, spiral/annular features in weak-lensing shear and mass reconstructions; (ii) statistically significant twist/alignment in cosmic filaments beyond random expectation; (iii) small, direction-dependent signatures in late-time expansion correlated with large-scale structure; and (iv) phase-coherence jumps coincident with behavioral inflection points in brains, organoids, and agent simulations. Clean nulls constrain the contribution; convergent positives motivate incorporating spiral transport and resonance explicitly into models.The intent is pragmatic: bridge domains with a structural lens that stands or falls on measurable effects. Methods, data links, and suggested preregistration notes are included to make independent replication straightforward.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 (Sat,) studied this question.
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