Evidence map›Paper›PMID 39908378›Full record

ArticleScience advances2025

Language-like efficiency in whale communication.

Mason Youngblood

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

10 citing papers in PubMed.

  1. Language-like properties in the vocal behavior of animals.Current opinion in neurobiology · 2026
    Review
  2. An information-theoretic optimal power law.Theory in biosciences = Theorie in den Biowissenschaften · 2026
    Article
  3. Article
  4. Article
  5. Humans 40,000 y ago developed a system of conventional signs.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Does Zipf's law of abbreviation shape birdsong?PLoS computational biology · 2025
    Article
  7. Vocal efficiency in crows.Animal cognition · 2025
    Article
  8. Article
  9. Article
  10. 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

1 author.

Mason YoungbloodInstitute for Advanced Computational Science, Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0003-2123-1716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vocal communication systems in humans and other animals experience selection for efficiency-optimizing the benefits they convey relative to the costs of producing them. Two hallmarks of efficiency, Menzerath's law and Zipf's law of abbreviation, predict that longer sequences will consist of shorter elements and more frequent elements will be shorter, respectively. Here, we assessed the evidence for both laws in cetaceans by analyzing vocal sequences from 16 baleen and toothed whale species and comparing them to 51 human languages. Eleven whale species exhibit Menzerath's law, sometimes with greater effect sizes than human speech. Two of the five whale species with categorized element types exhibit Zipf's law of abbreviation. On average, whales also tend to shorten elements and intervals toward the end of sequences, although this varies by species. Overall, the results of this study suggest that the vocalizations of many cetacean species have undergone compression for increased efficiency in time.

Indexed as

Animal CommunicationLanguageVocalization, AnimalWhalesAnimalsHumans

Identifiers

PMID39908378
PMCPMC11797547

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.