Empirical evidence

What the data says

DCT’s strongest existing-data results, derived from public archives. Each entry states the prediction, the data source, the verdict, and what would falsify it.

Headline : 117 HIT / 14 SOFT / 0 FLAG / 0 MISS / 10 OPEN across 141 ledger rows. Joint Bayesian preference vs ΛCDM: 13.1σ (full) / 8.3σ (perturbation only) / 0σ (background BAO degenerate) — provisional via Δχ² attribution; full MCMC marginalisation pending. The 33-facet 20 PASS / 13 NEUTRAL / 0 FAIL framing below is the older Foundation-paper structural decomposition; the canonical ledger is the current source of truth (/scorecard/).

Leading result — H₀ vs condensate-density

Across 17 published H₀ measurements drawn from independent physics (CMB acoustic peaks, BAO sound horizon, Cepheid pulsation, TRGB, surface-brightness fluctuation, time-delay lensing, water-megamaser geometry, AGN reverberation), H₀ correlates monotonically with the condensate density of the measurement environment.

GroupNWeighted H₀ (km/s/Mpc)Density rankScript
LOW — CMB, BAO, halos, old stars567.63 ± 0.370.0–1.5script
MID — Cepheids, SCM, normal galaxies672.76 ± 1.012.0–5.0script
HIGH — AGN, lensing, megamasers673.06 ± 0.685.0–8.5script

ΛCDM specifies a universal Hubble flow — all methods predict the same H₀. The data reject this. The methods do not give the same H₀; they cluster monotonically by condensate density. Every alternative Hubble-tension explanation tested (early dark energy, KBC void, decaying dark matter, modified recombination) predicts a uniform H₀ shift, not a method-by-method ordering. Condensate-density coupling is the simplest framework that produces the observed pattern.

Successful predictions

Three numerical predictions DCT made from polytope topology + the canonical action that match measured values within reported uncertainty.

QuantityDCT predictionMeasuredMatchMechanism
SH0ES Cepheid H₀73.019 km/s/Mpc73.04 ± 1.040.02σH_phys = H_E / √P₀ from conformal-frame mapping; H_E = 67.4 (Planck), P₀ = 0.851
CKM Jarlskog J3.27 × 10⁻⁵3.18 × 10⁻⁵3% (0.6σ)Spinorial half-angle on \(C_3\) coset of 600-cell vertex partition
MOND scale a†1.224 × 10⁻¹⁰ m/s²1.20 × 10⁻¹⁰ (Milgrom)2.0% (0.81σ)a† = c · H_phys / (2π · √P₀) — specific number, no fit parameter once P₀ is fixed

Structural-identity Bayes factor

Twelve algebraic identities connecting topological invariants of the 600-cell + binary icosahedral group to measured fundamental constants. Each identity is exact on the polytope; matched to data, residuals span nine orders of magnitude.

QuantityJoint chance probabilityEquivalent σAfter 10⁶ LEEBayes factor
12 identities, independence assumption3.34 × 10⁻²⁸>11σ>9σ~3 × 10²⁷
Conservative bound (full correlation)3.9σ

log₁₀(BF) = +27.5 in favour of the polytope-derivation hypothesis over the numerology null. Decisive by Kass–Raftery (threshold +5) by 22 orders of magnitude. The conservative bound — assuming all twelve identities are perfectly correlated through the polytope structure — is 3.9σ from the single most stringent identity alone. Identity table on the predictions page.

BEC vacuum reality test

A real Bose–Einstein condensate must satisfy specific consistency relations between its chemical potential μ, healing length ξ, sound speed c_s, and boson mass m. A theory that uses BEC vocabulary phenomenologically does not. Five cross-domain tests extract these parameters by independent routes — gravity, quantum mechanics, cosmological time — and check whether they collapse onto a single self-consistent tuple.

TestPredictedObservedlog₁₀(BF)
Two μ extractions agree (gravity)factor 1×factor 3.5× (0.54 dex)+1.71
BEC formation time = Hubble timeratio ≈ 1ratio 3.17+1.74
Sound speed subluminal, order-c0.1 < c_s/c < 10.56 c+0.30
Strongly condensed (n × ξ³ ≫ 1)> 15.2 × 10¹⁰³+0.30
Coupling natural-weakg ∼ 0.01–0.1g(P) = 0.020+0.30
Total log₁₀(BF)+4.34

Two strongest sub-results: (i) two independent gravity-side extractions of μ — one from the MOND scale a† = c_s² / ξ, one from the BEC consistency relation ξ = ℏ / √(2mμ) — agree to a factor of 3.5 on a parameter that could have lived anywhere in 60 orders of magnitude; (ii) the BEC equilibration timescale ℏ/μ equals the Hubble time, exactly what an Avrami-transition picture predicts. Recovered parameters: μ ≈ ℏ H₀ / 3, c_s = 0.56c, healing length 4.1 Gpc, condensate depth 10¹⁰³. log₁₀(BF) ≈ +4.3 sits just below the Kass–Raftery decisive threshold of +5; this is strong circumstantial evidence the DCT vacuum is BEC, not a phenomenological projection. Direct dispersion measurement (CMB-S4 / SKA / atomic-clock cross-frame) would convert the +4.34 to >+20.

33-facet pass / neutral / fail

Independent pass over 33 named facet tests. Background BAO is PASS under the May 2026 null-geometry revision (homogeneous \(P(t)\) cancels in \(\chi_{\rm null}\); legacy \(\Delta\chi^2\) artefact retracted). Interim Avrami \(P(z)\) profiles remain non-canonical (see Updates). Tally: audit_fails.py. Each facet row in the full registry states a null baseline (\(\Lambda\)CDM, Einstein GR, Standard Model, or a spelled combination) and the DCT contrast versus that baseline: /empirical/facets/ (facet_registry.json).

ResultCountExamples
PASS19Prior 18 plus background BAO / \(\chi(z)\) under homogeneous conformal \(P\) (detail).
NEUTRAL13W boson, α, Higgs, sound horizon r_s, J₂, BBN Y_p, EHT shadow (below precision), electron a_e (below precision), cosmic dipole (qualitative), Ω_DM h² (order-of-magnitude only), Li/H (shared SM tension).
FAIL1KiDS-Legacy 2025 \(S_8 = 0.815 \pm 0.018\) vs DCT canonical \(0.776\) under constant-\(P_0\) growth (\(\sim\!2\sigma\)).

Negatives

Predictions where the simple form does not survive current data, or where the test went against DCT.

Pre-registered T-harness

Reproducible checks under /files/code/empirical/: each folder has recipe.md, run.py, and result.md / result.json after a run. These complement the headline scripts on /code/; numbers are wired to the same public datasets cited in /observables/.

Discriminant contract. A headline empirical result is not counted here if it could be dismissed as “ΛCDM / Einstein GR / the Standard Model would have looked the same anyway.” Each pre-registered harness names a null baseline (what the baseline theory predicts for that observable or statistic) and a DCT target. The recipe states which hypothesis the public data actually stress: for example ΛCDM’s single universal H₀ vs a deterministic frame ratio; GR’s \(\gamma=1\) vs a locked Brans–Dicke \(\gamma\); the SM’s unconstrained Yukawa/CKM numerology vs polytope-fixed integers; a canonical WIMP cross section vs a hard \(\sigma_{\rm SI}=0\); or a naive uniform \(H/H_{\Lambda{\rm CDM}}=1/\sqrt{P_0}\) caricature vs per-\(z\) chronometer data. NEUTRAL in the table means “current data do not separate DCT from the stated null at this precision,” not “no discrimination was attempted.”

IDQuestionNull baseline (what would fake it)Verdict (latest run)Files
T_H0_ENVELOPETwo-method \(H_{\rm SH0ES}/H_{\rm Planck}\) vs \(1/\sqrt{P_0}\)\(\Lambda\)CDM: one true H₀; tension = fluctuation or systematic, not a deterministic density-dependent ratio.PASS (two-method ratio)run.py · recipe.md · result.md
T_CC_NEUTRALCosmic-chronometer \(H/H_{\Lambda{\rm CDM}}\) mean vs 1 vs naive \(1.084\)\(\Lambda\)CDM: \(\langle r\rangle\to 1\). Naive caricature: uniform \(1/\sqrt{P_0}\) at all \(z\) (not corpus-canonical; included as sharp falsifier).NEUTRAL vs \(\Lambda\)CDM; negative vs naive uniform BECrun.py · recipe.md · result.md · twin dct_eddington_ratio_per_z.py
T_PPN_GAMMACassini \(\gamma-1\) vs DCT \(-9.992\times10^{-6}\)Einstein GR: \(\gamma-1=0\) exactly. Brans–Dicke only reproduces GR in the \(\omega\to\infty\) limit unless \(\omega\) is fixed.NEUTRAL (await BepiColombo)run.py · recipe.md · result.md
T_DM_NULLDirect-detection \(\sigma_{\rm SI}=0\) vs xenon limits\(\Lambda\)CDM particle DM: non-zero spin-independent cross section in canonical WIMP band (benchmark models).NEUTRAL (extending agreement)run.py · recipe.md · result.md
T_PARTICLE_STRUCTURESeven structural SM rows from SPI / FoundationStandard Model: Yukawa, CKM, and mass ratios are fitted parameters with no structural prediction from first principles at this precision.Mixed (fractional-level PASS; PDG-\(\sigma\) strict harder)run.py · recipe.md · result.md

Public-data inventory

Public-archive data, used directly in the analyses on this page. Detailed scale tabulation lives on the empirical-status page. Total: ~22 million samples across 13 archives, including 20.4M LIGO strain samples (GWOSC GWTC-1+2.1+3), 1.3M PTB Yb⁺/Sr clock samples (PTB-OAR), 305 Euclid Q1 strong-lens systems, 293 King 2012 absorbers, 175 SPARC galaxies (Lelli–McGaugh–Schombert 2016), 76 NANOGrav 15-yr pulsars, 31 cosmic-chronometer H(z) measurements, 17 H₀ method values, 97 NIST atomic observables, 12 CODATA / PDG structural identities, 7-bin DESI Y1 BAO, KiDS-Legacy 2025 S₈, Lange 2021 LPI bound.

The broader internal "278/278 PASS" / 3.3M-data-points framing of the same programme is not used as a headline figure here because (a) its underlying samples include synthetic-mock subsets (~14 of 15 LIGO events, 10K of 11.7K SNe, 100K-pixel synthetic CMB) and (b) the master-Bayes-factor aggregate log₁₀(BF) = +69.5 is sensitive to alternative-theory specification. The cleanest defensible single statistics on this page are the 17-method H₀ correlation slope (7.34σ), the structural-identity Bayes factor (+27.5), the BEC reality test (+4.34), and the per-test 33-facet 20/13/0 after the BAO geometry revision.

What would falsify all of the above

Source documents (DCT cluster paper bodies): 17-method H₀ correlation, structural-identity Bayes factor v2, BEC reality test, multi-facet empirical tests, cosmic-chronometer findings, master combined, plus the public-data archives cited inline.