One programme · Four connected stages
Four strands, one research plan
The four-stage framework was designed from the outset: reproduce, compare, understand, then test on further data. Each detailed study builds on the completed preceding results. The aim is to establish how strongly supernova data support timescape and how much that conclusion depends on the analysis, whatever the outcome.
01Completed · STOP documented
Strand 1 · Reproduce
Can the published results be repeated?
The baseline evidence test at zmin = 0.040 did not meet its prespecified reproduction tolerance and ended at STOP. A subsequent maximum-likelihood check reproduced the published best-fit values at zCMB ≥ 0.033 (fv0 = 0.675, ΩM0 = 0.433). This limits our reproduction claim; it does not establish an error in the published calculation.
02Completed · Results published
Strand 2 · Compare
How much does the method change the result?
On identical P+1690 data at zCMB ≥ 0.075 and common priors with β in [0,4], the implemented Lane-type and Seifert-type likelihoods give ln B ≈ 0.38 and 2.27. Their paired difference is 1.8931 nat. Terminal Record v1.5 was published on 27 October 2026. Reconstruction of the exact historical analyses remains a separate question.
03Preregistered · 31 October 2026
Strand 3 · Understand
Which assumptions cause the difference?
Strand 3 separates two mean maps and three covariance treatments, with β in [0,4] and [0,7], on P+1690 (full and zCMB ≥ 0.075) and P+580. It adds a false-positive control on ΛCDM-generated data, subject to registered generator checks, and a bias-correction test. Analysis and decision rules are preregistered. No results yet.
04Plan published · 1 November 2026
Strand 4 · Test
Does the prediction hold on further data?
Strand 4 is planned as a predictive transfer test on DES-Dovekie. Shared supernovae form a paired pipeline bridge; objects also present in P+1690 are excluded from the prediction sample. A quantitative prediction learned from Strand 3 and its interpretation will be fixed publicly before the DES prediction test. Absolute Bayes factors will be assessed alongside calibration under known truth. The final test specification is not yet registered. No results yet.
The purpose: a reliable assessment of the evidence
Agreement on DES would support the predictive model’s transfer to further data. It would not, by itself, establish which cosmology is correct. A mismatch would challenge the predictive model as a whole, including population modelling and the pipeline transfer. Statements about timescape and ΛCDM will use the absolute Bayes factors together with the known-truth calibration.