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To evaluate the Berrett Model for its effectiveness in deciphering the Rongorongo script through statistical validation.

April 10, 2026Open Access

Mechanistic Decipherment of Rongorongo: A Statistical Validation of the Berrett Model

Key Points

To evaluate the Berrett Model for its effectiveness in deciphering the Rongorongo script through statistical validation.
Introduced the Berrett Model as a computational framework for analysis.
Conducted phonetic pattern analysis to identify potential syllabic mappings.
Performed statistical comparisons against control data to determine non-random features.
Established audit trails to reinforce reproducibility of results.
Identified non-random structural features in the Rongorongo corpus.
Supported the phonetic encoding hypothesis with statistical evidence.
Provided a testable foundation for future analysis of the script.

Abstract

Rongorongo remains one of the world’s few undeciphered writing systems. This paper introduces the Berrett Model, a computational framework for evaluating proposed syllabic mappings within the corpus. By combining phonetic pattern analysis with statistical comparison against control data, the model identifies non-random structural features consistent with a phonetic encoding hypothesis. The approach emphasizes reproducibility through audit trails and quantitative validation, providing a testable foundation for further analysis of the Rongorongo script.

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Peter William Berrett (Wed,) studied this question.

www.synapsesocial.com/papers/69d893eb6c1944d70ce04e6b — DOI: https://doi.org/10.5281/zenodo.19454637

Mechanistic Decipherment of Rongorongo: A Statistical Validation of the Berrett Model

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