The Catalogue Is the Instrument: how the choice of sign inventory moves the statistics of an undeciphered script

Statistical arguments about undeciphered scripts — whether a sign system "behaves like language" — are computed on a transliteration, and a transliteration presupposes a catalogue of signs. For rongorongo the published catalogues disagree by an order of magnitude, from about fifty basic signs to about six hundred. Pozdniakov and Pozdniakov (2007) observed that the statistics "will differ markedly depending upon the inventory of glyphs chosen"; the point has not, to our knowledge, been quantified. Call the statistic itself the instrument — the ruler we read the corpus with — and the real structure it is trying to detect the signal. On the CEIPP corpus of twenty-five objects and 14,812 glyphs, using the normalised conditional entropy of Rao et al. (2010) — a standard measure of how predictable the next sign is, given the one just before it — as the instrument, we tried three published readings of the same inscriptions: three different, defensible decisions about what counts as one sign. Just relabelling the same glyphs moved the instrument by 0.318 of its [0,1] scale. The signal it is supposed to be measuring — how far the real corpus sits from a shuffled version of itself, all sequential order destroyed — is only 0.077. The catalogue moves the instrument four times further than it moves the signal: most of what changes when you switch readings is not the script, it is the ruler. A sweep over sizes from 25 to 633 shows this is mostly an effect of catalogue size, and that the field's own catalogue of about 125 signs sits where rising signal meets collapsing coverage. Composition matters less for entropy than for the scribes' own substitutions, where the published catalogue absorbs 40% of variants against 18% for the best mechanical rule of its size. Against real syllabaries at matched size and length, a fifty-sign rongorongo reproduces the syllabary's number while carrying 1.6 to 5.5 times less sequential structure, a gap that survives matching of run length, sample, genre and orthography. The identical code run on the Indus script returns the opposite verdict — close catalogues, large signal — so this is a property of one script's apparatus, not of undeciphered writing. The levels of these statistics belong to the catalogue and the sample; only differences travel.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-25
DOI
https://doi.org/10.5281/zenodo.22095296
Primary Topic
Language and cultural evolution
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

The Catalogue Is the Instrument: how the choice of sign inventory moves the statistics of an undeciphered script

Ilpo Väätäinen
Zenodo (CERN European Organization for Nuclear Research)
Language and cultural evolution
preprint

The Catalogue Is the Instrument: how the choice of sign inventory moves the statistics of an undeciphered script

Ilpo Väätäinen
preprint en

Abstract

Statistical arguments about undeciphered scripts — whether a sign system "behaves like language" — are computed on a transliteration, and a transliteration presupposes a catalogue of signs. For rongorongo the published catalogues disagree by an order of magnitude, from about fifty basic signs to about six hundred. Pozdniakov and Pozdniakov (2007) observed that the statistics "will differ markedly depending upon the inventory of glyphs chosen"; the point has not, to our knowledge, been quantified. Call the statistic itself the instrument — the ruler we read the corpus with — and the real structure it is trying to detect the signal. On the CEIPP corpus of twenty-five objects and 14,812 glyphs, using the normalised conditional entropy of Rao et al. (2010) — a standard measure of how predictable the next sign is, given the one just before it — as the instrument, we tried three published readings of the same inscriptions: three different, defensible decisions about what counts as one sign. Just relabelling the same glyphs moved the instrument by 0.318 of its [0,1] scale. The signal it is supposed to be measuring — how far the real corpus sits from a shuffled version of itself, all sequential order destroyed — is only 0.077. The catalogue moves the instrument four times further than it moves the signal: most of what changes when you switch readings is not the script, it is the ruler. A sweep over sizes from 25 to 633 shows this is mostly an effect of catalogue size, and that the field's own catalogue of about 125 signs sits where rising signal meets collapsing coverage. Composition matters less for entropy than for the scribes' own substitutions, where the published catalogue absorbs 40% of variants against 18% for the best mechanical rule of its size. Against real syllabaries at matched size and length, a fifty-sign rongorongo reproduces the syllabary's number while carrying 1.6 to 5.5 times less sequential structure, a gap that survives matching of run length, sample, genre and orthography. The identical code run on the Indus script returns the opposite verdict — close catalogues, large signal — so this is a property of one script's apparatus, not of undeciphered writing. The levels of these statistics belong to the catalogue and the sample; only differences travel.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Language and cultural evolution
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Catalogue Is the Instrument: how the choice of sign inventory moves the statistics of an undeciphered script — Ilpo Väätäinen · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS