"Protein length approximation by Lucas and Fibonacci targets – A first hint for generality?" by Stefan A. Geier et al.
Protein length approximation by
Lucas and Fibonacci targets –
A first hint for generality?
Stefan A. Geier*, Caroline Geier, Stephanie
Geier, Constantin Geier, Katharina Geier,
Nora Blättermann-Goldstein, and Michèle Geier-Noehl**
Institute for Structuralistic Theory of Sciences Simssee
(ISTS), Gerhart-Hauptmann-Straße 6, 83071 Haidholzen, Germany; and
Ludwig-Maximilians-Universität Munich, Germany.
**Dermatologische Klinik der
Landeshauptstadt und der Ludwig-Maximilians-Universität LMU München,
Thalkirchner Straße 48, 80337 Munich, Germany.
*Correspondence: Stefan A.
Geier; wissenschaftstheorie.simssee.1@gmail.com
Version 0.0.0.0 | 29. September 2026
Abstract
Protein lengths provide a simple description of
molecular organisation, but numerical agreement requires explicit targets and
tolerances.1,2 Motivated by Geier’s
proposals,3,4 we “prospectively” analysed
a randomly derived table of 100 human protein lengths and 100 paired reported
segment lengths. Here we show that 75 of the 100 full-chain counts attain at
least 95% fit to a Lucas number, a Fibonacci number, or a predefined adjacent
Lucas–Fibonacci midpoint (p < 0.0001). Fit was calculated as one minus the
target-relative absolute discrepancy, expressed as a percentage and maximised
across the three families. Against an explicit 50% majority benchmark, the
nominal exact one-sided binomial P value was 2.818 × 10⁻⁷ under an
independent-Bernoulli model; the supporting normal statistic was z = 5.00. Mean
fits were 96.84% for chains and 96.91% for reported segments. The source list
arose from a Gemini prompt requesting random selection of 100 human proteins
with their length in aa and a domain length in aa. These results establish
close numerical approximation within the declared equilibrium-oriented target
system. Biological generality must be included in biological and physiological
theories; however further testing of our hypothesis in different fields and
with larger numbers of proteins is appropriate.
Keywords
protein length; amino-acid count; Lucas numbers; Fibonacci numbers; adjacent
midpoint; exact binomial test; Geier’s equations; Geier’s equilibrium
programme; biology; physiology; biochemistry; biophysics; Geier’s hypothesis.
Source:
Stefan A. Geier et al., ResearchGate:
Our research is available on @ResearchGate: https://www.researchgate.net/publication/414947817_Protein_length_approximation_by_Lucas_and_Fibonacci_targets_-_A_first_hint_for_generality?utm_source=twitter&rgutm_meta1=eHNsLTVXaUxoTSsyT3UydG1VdXQzNHhLbDhPYW51dGFFN2xmVnR0am9DdzdZOTYzSWY0YUpvdVFmUnlKeGlSTW1JUktQN0xhem1ld2NVLzJCY0wyeStZNll3TT0%3D
Kommentare
Kommentar veröffentlichen