Inside the ladder's 73 live organized splits: anchor swaps move H₀ by 1.5 km/s/Mpc, host partitions by mass, star formation, and survey shift it at the same scale, and rival programs agreeing on distances diverge by 3 km/s/Mpc through host selection alone. The noise-reading files each split within tolerances, but cannot explain their organization: the shifts correlate with environment and sample geography, not with pipelines, across programs sharing none.
One true H₀ makes the splits noise by definition: deviations to be averaged, watched, and blamed on whichever program's cuts one distrusts. The model has no framework in which sub-sigma shifts could be organized, because organization requires the measured quantity to have structure, and a constant has none.
SCT reads the splits as the Λ_eff field's small-scale texture showing through the statistics. Anchors sit in specific environments (a maser disk here, the LMC there), host subsamples weight void-adjacent and cluster-adjacent geography differently, and each partition therefore samples a slightly different average of a genuinely varying field (P17, P19): kilometer-scale shifts organized by environment are the predicted granularity of the same gradient whose large-scale structure separates the camps at 6 km/s/Mpc. The frame-tree layer (P10) adds its registered 0.5-to-1 percent cluster-versus-field offsets in the host step, which is the scale the supernova partitions keep finding. Organization is the tell: noise scatters along methodological boundaries, fields scatter along geographic ones, and the splits choose geography.
The prediction for the Rubin era is statistical and specific: with thousands of calibrator-quality hosts, the splits should resolve into a coherent environmental map, H₀ shifts tracking host environment classification at the 0.5-to-1.5 percent level with the anchor spreads explained by their environments' positions in the same map, converting the fine print into the gradient's highest-resolution measurement. Foundations in Paper 1 (P17, P19) and Paper 2, From Chaos To Common Ancestry (the frame-tree corrections).
Premise count: the same five as the headline entry, now read at their smallest observable scale.
The Rubin-scale test cuts decisively: supernova samples large enough to map the splits finding them uncorrelated with host environment, scattering instead along survey and pipeline boundaries as true noise should, would remove the texture reading and return the fine print to statistics. SCT requires the geographic organization to sharpen, not dissolve, as the statistics grow.