What question did this study set out to answer?

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

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

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Abstract

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