AI-generated conjecture · below the evidence/publication boundary

Dice bias lineages

Status: Anticipated · untested

Status is derived only from the shepherd-authored triage/prediction data above -- community submissions and claims are a separate overlay and can never change it (see the participation panel below).

This is a proposed connection between two domains, generated by a language model. It is not an article and not evidence: it sits below the evidence/publication boundary. A quantitative prediction and a named kill-dataset are attached (when registered) so the claim stays falsifiable rather than merely evocative.

Claim (verbatim)

Dice bias lineages. Roman dice are notoriously irregular — surviving cubes are often visibly asymmetric, with face dimensions and pip placement far from the modern standard — and the crookedness has usually been waved off as indifference to fairness. Asymmetry, though, is measurable: 3D scanning recovers each die's face-size ratios, aspect ratios and pip geometry as a quantitative bias profile. The conjecture is that these profiles cluster by workshop tradition, not by period: dice made in the same production lineage share a characteristic signature of asymmetry that persists across generations, while contemporary dice from different traditions differ. That would mean the unfairness was transmitted as craft — apprentices copying their masters' proportions, bias and all — so that a die's geometry fingerprints its workshop the way a scribal hand fingerprints a scriptorium. 3D-scan corpora of dated, provenanced dice can test whether tradition beats time.

Prediction clause (verbatim)

For a 3D-scan corpus of provenanced and dated Roman dice, extract per-die asymmetry features (face-dimension ratios, pip-layout geometry) and cluster them; label each die by production tradition and by period. Primary clause: the clustering aligns with workshop-tradition labels significantly better than with period labels — the adjusted Rand index against tradition exceeds that against period, and tradition explains at least twice the feature variance that period does. The verdict follows the primary clause.

Kill-dataset (verbatim)

3D-scan corpora.

Nobody has run this test. The kill-data is named above. If you can run it — or you know the paper that already settles it — claim the kill or submit the prior. Kills and priors are credited here, by name, as they come in.

In the atlas

This conjecture is bridged, as an L1 lead, onto these Inferpedia subject pages.

Provenance

Run: Imported conversation (verbatim harvest) · model: claude-fable-5

Origin: operator conversation with Claude Fable 5 at max effort, conducted 2026-07-03, relayed verbatim by the operator into the shepherd session on 2026-07-04. No ModelRun exists for the original generation (it happened outside the pipeline); this transcript file is the canonical capture. Transcript path: docs/generated/conjecture_harvest_fablemax_20260703.md. Model (operator-attested, not pipeline-recorded): claude-fable-5. Novelty disclaimer (verbatim, load-bearing -- rule 4): "Same caveat as before, doubled: at 100 items across all of archaeology and history, some of these will have cousins in the literature I can't check. What I can guarantee is the format — each links two things not normally linked, and each names the dataset or measurement that would kill it."

Novelty / leakage triage

anticipated in the literature — this exact test has never been run

The exact object is directly studied: Eerkens & de Voogt (2022) quantitatively analyze a dated Roman dice corpus, find asymmetry varies CONTINUOUSLY (arguing production bias via replication experiments), and review — without adopting — a cultural-transmission account linking elongated forms to Iron Age/Etruscan traditions. The conjecture's specific clustering test (workshop-tradition clusters, not period) remains unrun, and the published continuous-variation finding leans against clean clustering — a resolution must engage that.

Eerkens & de Voogt 2022, 'Why are Roman-period dice asymmetrical?', AAS — Full-text-confirmed; continuous variation + production-bias account, transmission account reviewed

Predictions

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