Zero assumptions. Zero fitted galactic constants.

Evaluate the derivations first. Do not classify the programme because its conclusions differ from established models.

BFUT develops one physical framework and applies it across cosmology, gravitation, quantum mechanics and particle physics. It does not start by assuming ΛCDM is wrong and then adding knobs.

Three argued propositions

1. The universe is infinite

Infinitude is examined independently, including a dedicated analysis of 45 arguments. Observations used for a Big Bang universe do not establish that the universe itself is finite.

2. The Spaticle field and its density

ρ_s = 5.9 × 10−27 kg m−3 is the equilibrium density of the substrate. It is constrained across independent routes. It is not chosen to fit SPARC or KiDS.

3. Matter creation

A stated mechanism, then a derivation. The measured proton mass is the dimensional anchor for a dimensionless energy functional. It is not claimed as an output of that functional.

Paper 18: one derived acceleration, no galactic fit

The old two-formula DM1 / DM2 set with fitted A and α is withdrawn. Organised extra gravity is the DME equation. Full paper: P18.

a_s = c (G ρ_s / 3)1/2 = 1.09 × 10−10 m s−2
v²(R) = v_b²(R) [ 1 + a_s R / v_b²(R) ]1/2

a_s is computed from ρ_s, G and c. It is not fitted to galaxies. SPARC uses resolved baryonic v_b(R). KiDS uses v_b² = G M_gal / R. Same a_s on 175 SPARC galaxies and on four KiDS-1000 stacks. Υ = 0.5 is the SPARC 3.6 μm convention, not a BFUT fit.

Reported standing numbers in P18: median outer relative residual 0.100, shape agreement 92.0 percent, flat classification 98.8 percent on SPARC. KiDS four-bin χ²/N = 10.6 under DME.

DME is the organised-regime law. It is not presented as a closed-form integral of F1-cov. Same-basis MOND comparison is Paper 33.

Consciousness Index scale

Human average CI0 is anchored at 100. That fixes C = 182.5283 with CI_floor = 1. Then used on 100 species with no per-species retuning. Formula and meter: /ci/. Paper: P21.

What to test

  1. What are the stated foundational propositions?
  2. What independent arguments support them?
  3. What follows mathematically?
  4. Are numerical results independently calculable rather than freely fitted?
  5. Does the framework reproduce established observations?
  6. Does it explain observations usually given separate mechanisms?
  7. Does it make distinguishing predictions?
  8. Are those predictions testable?
  9. Do the same principles hold across domains?

Papers · Predictions · Falsification Board