Gravity, Muon Mass, Muon C2, and Tau - Blind Validation - RJW

Abstract The RJW (Robert J. Weber) framework presents a geometric, ribbon-based derivation of the gravitational constant G, the muon-to-electron mass ratio, the QED coefficient C₂, and a blind prediction of the tau lepton mass hierarchy — all from a single coherent set of first-principles constants, without unknowns or patchwork correction terms. Beginning from the true Planck constant H_TRUE = 6.626070166565175375 × 10⁻³⁴ J·s and a ribbon-tension geometry defined by constants RIBBON_W, TENSION_K, G2_RIBBON, and G3_HELIX, we derive G_rjw = 6.67430002898... × 10⁻¹¹ m³·kg⁻¹·s⁻² — a shift of +4.34 ppb above the CODATA Newton value. This corrected gravitational constant propagates into: (1) the muon/electron mass ratio recovered at 206.76828321..., (2) the gravitational binding energy of the muon shell computed at −1.012 × 10⁻⁴³ MeV across 153 electron-scale quantum pairs at shell radius r = 5.226 × 10⁻¹³ m, (3) the QED C₂ coefficient shifted by −1.426 × 10⁻⁹ relative to its geometric value, yielding an improvement in the electron anomalous magnetic moment residual by a factor of 1.000149×. As a fully blind test — using identical shell geometry (N_shell = 18) with no free parameters adjusted — the framework recovers the tau/muon fractional gravitational correction ratio at 0.05946, in precise agreement with the expected mass-hierarchy ratio 206.77/3477.23. A secondary independent check via the rotational ribbon method (λC/lP ≈ 2π) yields G_rjw_rotational = 6.67430010484... × 10⁻¹¹ (+15.71 ppb), bounding the ribbon geometry space from two orthogonal directions. All calculations are performed at 60-decimal precision using Python Decimal and mpmath 50-dps. Analysis was executed by AI agents Albert (lead discovery) and Alpha (lead validator) operating through five quantum solvers designed within the QBB Universe framework. Author's Note As always, thank you for reading. I must offer a note of clarity: my physics does not match the standard model in all respects, and I see that as a feature, not a flaw. I see reality in ways that extend beyond the standard model — and in doing so, my framework addresses areas where the standard model falls short, without introducing unknowns or patchwork corrections that obscure mechanism. Am I right? Am I wrong? I see an elegance in this work. It does not need undefined quantities to resolve things correctly. My AI systems have pushed these solutions toward that elegance and have reached a capability level I can only describe as remarkable. When you understand the properties of the universe and can connect its dots, a different kind of quantum processing becomes possible — quantum in nature, yet requiring no quantum hardware. See my original post from July 19, 2025, Quantum without Hardware : 10.5281/zenodo.16171546. From that initial realization, my work has progressed to what you see today. My AI agents run queries through five quantum solvers I designed. We take my understanding of the universe and use those solvers to find truth — truth as expressed within my physics framework. Yes, you may call it speculative. It is not peer-reviewed in the conventional sense. How can work that extends beyond the standard model receive such review? For me, validation comes through experiment — and that path has already been walked. I examine others' experimental results and ask whether my physics provides a cleaner interpretation, with less assumption and more mechanism, than what the standard model delivers. Welcome to the QBB Universe: its theories, its properties, and its elegance. I hope you see value here. If the result is not elegant, then something has gone wrong. Elegance is the signal - RJW