Rongorongo as genealogy engine

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)

Rongorongo as genealogy engine. Rongorongo, the undeciphered glyph system of Easter Island, does not have to be read to be classified: its sequence statistics can be compared against the signatures of known genres. Recitation genealogies and chants — well attested in Polynesian tradition — have a distinctive Markov structure: highly repetitive frames ('X begat Y') with substituted name slots, giving low conditional entropy and dense exact repeats, quite unlike the flatter, more varied n-gram statistics of prose language. The conjecture is that rongorongo's repeated-glyph statistics match the chant signature, not the prose one: measured against chant corpora and prose corpora alike, its entropy profile should fall squarely on the genealogical side. The script would thus be identified, statistically, as a genealogy engine before a single glyph is deciphered.

Prediction clause (verbatim)

Compute glyph-sequence statistics for the rongorongo corpus and compare them, via the sequence entropy against chant corpora dataset, with (a) transcribed Polynesian recitation genealogies and chants and (b) prose corpora in comparable transcription. Primary clause: rongorongo's bigram conditional entropy and repeated-frame rate fall within the chant-corpus range and outside the prose range, such that a classifier trained on chant-versus-prose sequence features assigns rongorongo to the chant class in at least 90% of bootstrap resamples. The verdict follows the primary clause.

Kill-dataset (verbatim)

sequence entropy against chant 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

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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

Statistical analysis of rongorongo glyph distributions is an active line (Zipf/chi-square syllabary arguments; Pozdniakov's frequency analyses), and the functional association with chanted genealogies is part of that scholarship; the formal test — sequence entropy/Markov structure compared against genealogy-chant corpora versus prose — was not located.

Pozdniakov glyph-frequency analyses (decipherment overview) — Statistical structure + genealogy association
'The Rongorongo Script: listed sequence on tablet Mamari', JQL — Quantitative sequence analysis of one tablet

Predictions

No prediction registered yet.

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