Evidence map›Paper›PMID 40472033›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Simpson's gender-equality paradox.

Mathias Berggren, Robin Bergh

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Partner preferences for resources adapt to income and gender economic inequality.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Simpson's gender-equality paradox.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

Mathias BerggrenDepartment of Psychology, Uppsala University, Uppsala SE-751 42, Sweden.ORCID 0000-0001-9302-7269
Robin BerghDepartment of Psychology, Uppsala University, Uppsala SE-751 42, Sweden.ORCID 0000-0002-5041-7723

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several cross-country examinations have found larger gender differences in Western countries. More recently, it has been argued, from an evolutionary standpoint, that equality may paradoxically increase gender differences, because it provides more freedom for men and women to pursue innate preferences. However, this paradox has primarily been examined with this cross-country methodology, opening up for other cultural differences to drive the results. For instance, measures developed in Protestant and Germanic-speaking countries, may not work the same in other cultural clusters of countries, and may not have the same statistical qualities there (e.g., in terms of reliability). Here, we reanalyze the results from multiple studies on the gender-equality paradox with country-level data available. We find that gender differences covary more strongly with cultural regions and data quality than gender equality, and that any variable higher in the West appears to achieve similar correlations as gender equality. Also, controlling for cultural regions consistently and strongly attenuates the association with gender equality, including to become statistically nonsignificant, or to switch direction. In other words, the baseline associations differ between and within cultural clusters (a Simpson's paradox), suggesting there is no simple causal relation between gender equality and expressed gender differences. Similarly, controlling for data quality indicators strongly attenuates the paradox. Finally, we show that, with and without controls, there is no consistent paradoxical association across many of the largest cross-cultural studies on gender differences, including newly analyzed data. The same is true for other country development variables considered in the gender-equality paradox literature.

Indexed as

Gender EquitySexismCross-Cultural ComparisonFemaleHumansMaleconfoundsculturegender differencesgender equality

Identifiers

PMID40472033
PMCPMC12167955

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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.