Evidence map›Paper›PMID 41492178›Full record

ArticleDevelopmental science2026

Children's Numerical Estimation Is Biased by Male Informants More Than Female Informants.

Kathleen Cracknell, Julia Hauss, Miaofan Chen, Robert Sierp, Lin Bian, Jinjing Wang

Abstract read
In one paragraph

Article in Developmental science, 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

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

1 citing paper in PubMed.

  1. 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

6 authors.

Kathleen CracknellDepartment of Psychology, Rutgers University, New Brunswick, New Jersey, USA.ORCID https://orcid.org/0000-0003-0101-9451
Julia HaussDepartment of Psychology, Rutgers University, New Brunswick, New Jersey, USA.ORCID https://orcid.org/0000-0002-3053-5730
Miaofan ChenDepartment of Human Development and Quantitative Methodology, University of Maryland, College Park, Maryland, USA.ORCID https://orcid.org/0009-0001-0327-5574
Robert SierpCenter for Cognitive Science, Rutgers University, New Brunswick, New Jersey, USA.ORCID https://orcid.org/0009-0004-1154-2160
Lin BianDepartment of Psychology, The University of Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-5438-6736
Jinjing WangDepartment of Psychology, Rutgers University, New Brunswick, New Jersey, USA.ORCID https://orcid.org/0000-0001-8350-7656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerical estimation is one of the key early math skills and predicts children's long-term math achievement. While children are born with an intuitive "number sense," they do not form a mapping between nonverbal numerical representations and symbolic numbers until about 5 years of age. This protracted learning process is embedded in children's interactions with other people, although little is known about how children's existing social beliefs may influence how they receive numerical information from other people. Meanwhile, children in the United States develop a stereotype to associate men with being better at math at around 6 years of age. Does this gender stereotype influence how children receive numerical information from other people? Using a numerical estimation task, we showed 5- to 7-year-old children (N = 198; 93 girls; United States) competing answers from a male and a female informant before asking children to provide their own answer. We found that children's answers were biased by the male informant more than the female, even when the female was accurate. This bias was domain-specific, as there was no difference in children's performance on a memory control task. Furthermore, repeated exposure to inaccurate answers from a male informant (in contrast to accurate answers from a female informant) induced changes in children's estimation even when the informants were no longer present. Therefore, gender stereotypes may have profound impacts on how children acquire and process numerical information. SUMMARY: Children form structural mappings between numerical quantities and their mental number line, which can be calibrated by numerical information from other people. Here, in two studies, we tested how informant gender influences children's estimation performance. Numerical information received from men has stronger calibration effects on children's estimation performance compared to information from women. Repeated exposure to overestimation from men has lasting impacts on children's subsequent estimation performance.

Indexed as

Child DevelopmentMathematicsChildChild, PreschoolFemaleHumansLearningMaleSex FactorsStereotypingApproximate Number Systemepistemic trustestimationgender biasgender stereotypenumerical processing

Identifiers

PMID41492178
PMCPMC12770089

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Registered trials

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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.