Loaded Dice in the Oracle's Answer Book

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)

The study of ancient dice and astragali uses simple uniformity statistics to ask whether the randomizer was fair; the same tests have rarely been turned on the texts the randomizers pointed to. The Sortes Astrampsychi — antiquity's bestselling fortune-telling handbook, preserved on papyri — routes a client's question through a number drawn by lot to one of a bank of prewritten answers. I conjecture that the answer bank is engineered rather than neutral: favorable answers are systematically over-represented at the table positions most likely to be reached under the attested randomization procedure, so the oracle was statistically tuned toward customer satisfaction. The mechanism is commercial selection — an answer book that too often said "no" would not be recopied — operating on the mapping between lot numbers and answers, which the compiler was free to arrange. If this holds, we can measure market forces inside a divination text, and the fairness tests of the games stratum become an instrument for detecting design in any lot-based oracle from Egypt to the temple oracles of East Asia.

Prediction clause (verbatim)

Sentiment-coding the answers of the Sortes Astrampsychi (favorable/unfavorable/neutral) and computing each answer's reachability under the attested lot procedure, favorable answers will be over-represented among high-probability positions, with a chi-square test of independence between sentiment and reachability class rejecting uniformity at p < 0.01. Primary clause (the verdict follows it): the chi-square rejection. Secondary clause: the favorable-answer excess in the highest-reachability tercile is at least 15% over expectation.

Kill-dataset (verbatim)

The texts of the Sortes Astrampsychi as preserved in papyri.info/Trismegistos and standard critical editions; kill is a statistical test (chi-square test of sentiment by position-reachability).

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: Fresh agent generation · model: claude-fable-5

Composed blind by claude-fable-5 with zero tool use, emitted as a single JSON text message per the fresh-lane blindness protocol.

Novelty / leakage triage

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

Statistical analysis of favorable versus unfavorable answers in the Sortes Astrampsychi has been published (Naether 2010; SA1 vs SA2 comparisons), and known answer banks skew unfavorable in some question categories, which cuts against the direction; the specific sentiment-by-positional-reachability chi-square under the lot procedure is un-run.

Predictions

No prediction registered yet.

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