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Rongorongo as genealogy engine
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).
“Anticipated in print” means the direction of this claim already appears in scholarship, while this exact test has never been run — it records prior art, not proof; nothing here counts as supported or falsified until a registered resolution says so.
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.
In the kill-dataset registry:
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 scholarship. Kills and prior scholarship are credited here, by name, as they come in.
On Inferpedia
This conjecture is linked to the following pages on Inferpedia, an encyclopedia of the missing — working atlas pages, some still early scaffolding.
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.
Sources cited by the triage
- 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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