Slaying the Twin Dragons: Dark Matter and Dark Energy as Time Emergence Artifacts of the Universal Cascade Law

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Authors: Lucian Randolph
Cited by: 8

Abstract

Description Dark matter and dark energy are not separate mysteries. They are twin artifacts of a single assumption: that time is fully expressed everywhere and at every epoch. This paper presents two independent tests of the time emergence hypothesis using two public datasets. Test 1 — Dark Matter: 175 galaxy rotation curves from the SPARC database. The dual attractor architecture is confirmed at p = 10⁻⁹⁰. The Feigenbaum family constant δ(z=6) = 9.2962 appears in acceleration space at p = 3 × 10⁻¹¹. The characteristic acceleration a₀ is derived from Feigenbaum constant space to within 3.8%. The time emergence gradient shows τ < 0.5 at the edges of 117/175 galaxies. Test 2 — Dark Energy: 1,701 Type Ia supernovae from Pantheon+. A zero-free-parameter time emergence model, derived entirely from ln(δ) = 1.5410, fits the data to within 3.2% of ΛCDM — which requires two fitted parameters and 68% of the universe to be unknown energy. The transition redshift z_t = 1.449 falls within 6.4% of ln(δ). One mechanism. Two scales. Two dragons. One sword. The universe is not 95% dark. We were measuring with the wrong clock. Keywords dark matter; dark energy; time emergence; Universal Cascade Law; Feigenbaum constants; galaxy rotation curves; Type Ia supernovae; SPARC; Pantheon+; dual attractor architecture; cosmology; ΛCDM alternative; radial acceleration relation; modified gravity Notes This paper uses exclusively public data: SPARC (Lelli, McGaugh & Schombert 2016, AJ 152, 157) and Pantheon+ (Scolnic et al. 2022, ApJ 938, 113). All results are independently reproducible. Contains 10 composite figures with 42 individual panels. Part of the Universal Cascade Law research program. 28th paper. Published March 1, 2026.

Fields of Study & Subjects

Cosmology and Gravitation Theories Dark Matter and Cosmic Phenomena Relativity and Gravitational Theory

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 March 2026
Language
EN
Document type
Preprint