The Syllabary's Dark Matter

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 Maya syllabic grid — the consonant-vowel table that epigraphers have been filling in for decades — still has empty cells, and the standing question is whether those cells were empty in the script or are empty only in the surviving sample. The conjecture takes the second answer in quantified form: sign frequencies in the attested corpus are heavy-tailed, and Good-Turing unseen-type estimation applied to them predicts how many syllabograms existed but are unattested because the genres that needed them — letters, accounts, everyday paper — are gone. The mechanism is that rare signs live in rare contexts, and the rare contexts lived disproportionately on perishable media, so corpus destruction preferentially deleted the tail of the sign inventory. If the conjecture holds, the grid's gaps are a destruction map rather than a phonology, and the field tests the estimate every decade whether it means to or not: newly established sign values should keep arriving at the rate and in the frequency band the estimator sets.

Prediction clause (verbatim)

From corpus-wide sign frequencies, compute Good-Turing coverage. Primary clause (the verdict follows it): estimated coverage of the syllabic inventory is below 95 percent, implying at least 15 syllabic values that existed but are unattested or only marginally attested in the surviving corpus. Secondary clause: sign values that became securely established in scholarship after a fixed cutoff date fall predominantly in the lowest attested-frequency band, as the sampling account requires.

Kill-dataset (verbatim)

Maya Hieroglyphic Database (MHD): corpus-wide sign frequencies supply the input to the unseen-type estimate.

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

Generated in a single blind Write by claude-fable-5 with no reads, greps, web access, database queries, or any other tool calls; all content produced from model-internal knowledge under the W18 hard blankness protocol.

Novelty / leakage triage

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

The debate over whether empty syllabic-grid cells are script-real or sampling gaps (e.g. the [wu] question) is standard epigraphy, but applying Good-Turing unseen-type estimation to corpus sign frequencies to quantify how many syllabograms existed-but-are-unattested, then predicting the frequency band of future decipherments, is an un-run operationalization. Thin field.

'Beginner's Visual Catalog of Maya Hieroglyphs' (Tokovinine), Mesoweb (syllabary grid, undeciphered signs)

Predictions

No prediction registered yet.

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