LFCT Validation Suite: Quantitative Predictions vs Observational Data (Data Runs E, F, G)

Reproducible quantitative validation of Light Frame Cadence Theory (LFCT) against published observational data. Three independent data runs test 30 predictions derived from axioms A1–A5 with zero free parameters. Data Run E ("LFCT's Numbers vs the Sky") validates 15 predictions from the LFIS-24 derivation chain: CMB first-peak position (1.4%), peak height ratio (0.9%), damping scale (2.7%), CMB temperature (2.8%), peak spacing (2.4%), power spectrum amplitude (0.7%), Hubble constant ratio (0.2%), MOND acceleration scale (0.5%), damping ratio (1.4%), energy-density fractions (3.4%), galaxy rotation curves (SPARC RAR, R² = 0.989), and the nine-regime census. Score: 0.98. Data Run F ("LFIS-27 Predictions") validates 8 predictions from the CMB architecture volume: oscillation amplitude 28/5 (0.1%), peak spacing ratio κ_TR = 5/2 (0.7%), electroweak crossover temperature (0.4%), Sachs-Wolfe plateau shape (2.1% RMS), parity weakening, peak-2 seam correction (4.4%), balance point (0.8%), and recovery saturation parameters (forward prediction). Score: 1.00. Data Run G ("Slip, Polarisation, and Geometry") validates 7 predictions from Core Physical Derivations v1.2.0: gravitational slip η − 1 = −1/π³ (0.4σ), ISW enhancement ×1.066 (0.3σ), kSZ fσ₈ corrections at five redshifts, EE/TT normalisation 25/(8π⁶) (6.6%), EE first-peak position (1.8%), B-mode suppression BB/EE = 2/(3π⁴) (forward prediction), and CMB last-scattering radius (2.5%). Score: 0.88. Combined: 23 PASS, 2 CONSISTENT, 1 MARGINAL, 0 FAIL, 2 PREDICTION. Overall score 0.96. Observational comparisons drawn from Planck 2018, SH0ES, SPARC RAR, FIRAS, BICEP/Keck, and lattice QCD. Archive contains Python scripts, scope documents, and JSON results. Requires Python 3.8+ and NumPy.