Between-Group Mean Differences in Intelligence in the United States Are >0% Genetically Caused: Five Converging Lines of Evidence
Abstract
The past 30 years of research in intelligence has produced a wealth of knowledge about the causes and consequences of differences in intelligence between individuals, and today mainstream opinion is that individual differences in intelligence are caused by both genetic and environmental influences. Much more contentious is the discussion over the cause of mean intelligence differences between racial or ethnic groups. In contrast to the general consensus that interindividual differences are both genetic and environmental in origin, some claim that mean intelligence differences between racial groups are completely environmental in origin, whereas others postulate a mix of genetic and environmental causes. In this article I discuss 5 lines of research that provide evidence that mean differences in intelligence between racial and ethnic groups are partially genetic. These lines of evidence are findings in support of Spearman’s hypothesis, consistent results from tests of measurement invariance across American racial groups, the mathematical relationship that exists for between-group and within-group sources of heritability, genomic data derived from genome-wide association studies of intelligence and polygenic scores applied to diverse samples, and admixture studies. I also discuss future potential lines of evidence regarding the causes of average group differences across racial groups. However, the data are not fully conclusive, and the exact degree to which genes influence intergroup mean differences in intelligence is not known. This discussion applies only to native English speakers born in the United States and not necessarily to any other human populations.
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Substantive accounts of group differences, such as genetic or socio-cultural accounts, are based on biological or environmental factors that are unlikely to be mitigated through changes to testing procedures.
“Substantive accounts, such as genetic group differences (e.g., Warne, 2021) or socio-cultural differences (e.g., Hausdorf & Robie, 2018), are based on biological or environmental factors that are unlikely to be mitigated through changes to testing procedures.”
From Factors Related to Mean Score Group Differences on Cognitive Ability Tests: A Systematic Review (2025) · cites this paper as Warne, 2021
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Spearman's hypothesis and Amerindians: A meta-analysis
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Testing Spearman's hypothesis with advanced placement examination data
Warne, R. T. (2016) · Intelligence · doi:10.1016/j.intell.2016.05.002 · Cited by 19 · see citing works
Self-citationSpearman’s Hypothesis Tested on Black Adults: A Meta-Analysis
Te Nijenhuis, J., & Van den Hoek, M. (2016) · Journal of Intelligence · doi:10.3390/jintelligence4020006 · Cited by 18 · cited 1× · see citing works
“These correlations vary but are consistently positive (e.g., r = .84 in Dahlke & Sackett, 2017; r = .59 in Jensen, 1985; r = .46 in Kane, 2007; r = .57 in te Nijenhuis & van den Hoek, 2016; r = .723 to r = .817 in Warne, 2016b).”
BackgroundQuantitative Aspects of Genetics and Environment in the Determination of Behavior
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Limited Vision in the Social Sciences
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“This shortcoming arises because the method does not detect violations of statistical assumptions that must be met in order to justify such conclusions (Dolan & Hamaker, 2001; Lubke, Dolan, & Kelder-man, 2001; Wicherts, 2017).”
MethodThe Sidney Hook Memorial Award Address: On the self-suppression of academic freedom
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Self-citationThe Elusive X-Factor: A Critique of J. M. Kaplan’s Model of Race and IQ
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Editorial note on controversial papers
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Flagged first, then by citations
Research works printed but not linked: 1
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Cited by
Sorted by citations
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A Meta-Analysis of Spearman’s Hypothesis in the United States
Woodley of Menie, M., Peñaherrera-Aguirre, M., & Sarraf, M. (2026) · Intelligence & Cognitive Abilities · doi:10.65550/001c.171909
Factors Related to Mean Score Group Differences on Cognitive Ability Tests: A Systematic Review
Cuppello, S., Zibarras, L. D., & Corr, P. J. (2025) · Trends in Psychology · doi:10.1007/s43076-025-00504-5
- Authors
- Warne, R. T.
- Affiliations
- Utah Valley University (US)
- Corresponding author
- Warne, Russell T.
- ORCID
- Warne, Russell T.
- Venue
- The American Journal of Psychology
- Publisher
- University of Illinois Press
- Published
- 2021-12-01
- Volume
- 134
- Issue
- 4
- Pages
- 480-501
- ISSN
- 0002-9556 (ISSN-L)
- 1939-8298
- OpenAlex
- W4210735111
- Cited by
- 12
- References
- 137
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 4 · 2022: 2
- FWCI
- 1.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Psychology (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Race, Genetics, and Society
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Keywords
- intelligence, racial differences in intelligence, ethnic differences in intelligence, heritability, environmental influences, Spearman's hypothesis, measurement invariance, genome-wide association study, polygenic risk score, admixture, United States
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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