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May 10, 20260 citationsOpen Access

Convergence of Independent Numerical Parameters in the Vertebrate Optical System, Biological Cycles and Astronomical Cycles: A Structural Analysis and Verifiable Predictions

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ASAndrea Succi

Key Points

  • This research aims to identify and analyze the convergence of numerical parameters across various biological and astronomical cycles.
  • Identified four independent measured phenomena sharing numerical parameters of 28-29 days, 365 days, and an angle of 20-25 degrees.
  • Utilized existing biological and astronomical data for structural analysis and verification of cycles.
  • Formulated predictions requiring new measurements based on established numerical convergences.
  • Joint probability of numerical convergences occurring by chance is approximately P ≈ 5×10⁻⁶, indicating a structural cause.
  • Proposed a four-phase generative cycle explaining the observed numerical patterns with deviations from predictions of 0-4.1%.
  • Presented three retrospective confirmations and three prospective predictions based on the derived cycle structure.

Abstract

Four classes of independently measured phenomena share the same numerical parameters: 28–29 days, 365 days, and an angle in the range 20–25 degrees. The stratum corneum protein renewal cycle is 26–28 days (Weinstein 1965), convergent with the lunar synodic cycle of 29.5 days. The annual solar cycle is 365.25 days; the cortical bone renewal cycle is approximately 365 days (Parfitt 1994). The Earth's axial tilt is 23.44 degrees; the functional pupil-macula axis is estimated in the range 20–25 degrees by geometric composition from documented anatomical data. The joint probability of the three central numerical convergences occurring by chance is P ≈ 5×10⁻⁶, establishing that the convergences require structural explanation. We propose that the common structure is a four-phase generative cycle — G (generation), X (torsion), Q (manifestation), N (return) — whose algebraic properties formally constrain the ratio between short and long cycle periods to τ₀ = T/2 at each level of instantiation. This constraint, derived from the involutive property X² = −Id of the torsional operator, generates the observed numerical convergences as necessary consequences of the cycle structure. We demonstrate the first quantitative calibration of the cycle parameter τ₀ from independent biological data across four tissue types spanning two orders of magnitude in cycle period (deviations 0–4.1% from the structural prediction τ₀ = T/2). Three retrospective confirmations are documented with existing data; three prospective predictions requiring new measurements are formulated. The evolutionary alternative is addressed and shown to be insufficient based on the endogenous character of biological rhythms in the absence of astronomical zeitgebers.

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Cite This Study

Andrea Succi (2026) studied this question.

synapsesocial.com/papers/6a0021b7c8f74e3340f9c9e8https://doi.org/10.5281/zenodo.20076813
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