AI-generated conjecture · below the evidence/publication boundary
← All conjectures · Method, bridges & the corpus itself
A Census of Burned Books
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).
Claim (verbatim)
Capture-recapture is the ecologist's trick for counting fish you cannot see: mark some, resample, and the overlap tells you the population; book historians use the same mathematics to estimate lost medieval literature from overlapping survivals. The Maya screenfold codices suffered the most total book destruction on record — four survive — and the question of how many text traditions they represent is usually answered with a shrug. I conjecture that the four codices plus the so-called codex-style painted ceramics and the monumental inscriptions constitute independent "sightings" of underlying almanac and table types, and that overlap statistics across these carriers yield a defensible lower-bound census of the codex-borne textual repertoire. The mechanism is that almanac types (eclipse tables, Venus tables, yearbearer almanacs, deity-augury sequences) recur across independent media exactly as species recur across trap nights, so the unseen-species estimator applies without modification. If this holds, the scale of the Maya textual loss stops being rhetorical and becomes a number with a confidence interval, and the four survivors become a statistical sample rather than a miracle.
Prediction clause (verbatim)
Coding distinct almanac/table types across the Dresden, Madrid, Paris, and Grolier codices and the codex-style ceramic and monumental parallels, a Chao1 unseen-species estimator will return a point estimate of distinct codex-borne text traditions at least 10 times the number attested in the four surviving codices alone. Primary clause (the verdict follows it): Chao1 point estimate >= 10x the attested count. Secondary clause: the bootstrap 95% confidence interval on the estimate excludes 3x.
Kill-dataset (verbatim)
The Maya Hieroglyphic Database together with the published digitized facsimiles of the Dresden, Madrid, Paris, and Grolier codices; kill is a statistical test (Chao1 estimation with bootstrap confidence intervals over coded almanac types).
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
Unseen-species estimation of lost literature is established (Kestemont & Karsdorp, Science 2022) and the scale of Maya codex loss is discussed qualitatively, but no application of Chao1/capture-recapture to Maya almanac types across codices, codex-style ceramics, and monuments was located.
Predictions
No prediction registered yet.
Weigh in
No community feedback yet.
Add your take
Posted immediately (spam is removed). Community feedback is never an adjudicated verdict and never changes this conjecture's triage label or status above.
Working on this?
Sign in to claim this conjecture and let others know you're working on it.