Evidence map›Paper›PMID 41249815›Full record

ArticleNature human behaviour2026

Enduring constraints on grammar revealed by Bayesian spatiophylogenetic analyses.

Annemarie Verkerk, Olena Shcherbakova, Hannah J Haynie, Hedvig Skirgård, Christoph Rzymski, Quentin D Atkinson, Simon J Greenhill, Russell D Gray

Abstract read
In one paragraph

Article in Nature human behaviour, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. An inverse correlation between structural linguistic and human genetic diversity.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Annemarie VerkerkDepartment of Language Science and Technology, Saarland University, Saarbrücken, Germany. annemarie.verkerk@uni-saarland.de.
Olena ShcherbakovaDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Hannah J HaynieDepartment of Linguistics, University of Colorado Boulder, Boulder, CO, USA.
Hedvig SkirgårdDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID 0000-0002-7748-2381
Christoph RzymskiDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID 0000-0002-6165-0440
Quentin D AtkinsonSchool of Psychology, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-8499-7535
Simon J GreenhillDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.ORCID 0000-0001-7832-6156
Russell D GrayDepartment of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany. russell_gray@eva.mpg.de.ORCID 0000-0002-9858-0191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human languages show astonishing variety, yet their diversity is constrained by recurring patterns. Linguists have long argued over the extent and causes of these grammatical 'universals'. Using Grambank-a comprehensive database of grammatical features across the world's languages-we tested 191 proposed universals with Bayesian analyses that account for both genealogical descent and geographical proximity. We find statistical support for about a third of the proposed linguistic universals. The majority of these concern word order and hierarchical universals: two types that have featured prominently in earlier work. Evolutionary analyses show that languages tend to change in ways that converge on these preferred patterns. This suggests that, despite the vast design space of possible grammars, languages do not evolve entirely at random. Shared cognitive and communicative pressures repeatedly push languages towards similar solutions.

Indexed as

Cultural EvolutionLanguageLinguisticsBayes TheoremHumans

Identifiers

PMID41249815
PMCPMC12846912

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.