Searching for justice: The discovery of IQ gains over time.
Abstract
Humane-egalitarian ideals, whose aims are group justice and reducing environmental inequality and privilege, must be tested against reality, as revealed by psychology and other social sciences. Four issues are addressed: the equation between IQ and intelligence, whether group potential is determined by a group's mean IQ, whether the Black-White IQ gap is genetic, and the meritocratic thesis that genes for IQ will become highly correlated with class. Massive IQ gains over time test the lQ-intelligence equation, reveal groups who achieve far beyond their mean IQs, and falsify prominent arguments for a genetic racial IQ gap. Class IQ trends suggest America is not evolving toward a meritocracy, but a core refutation of that thesis is needed and supplied. Finally, the viability of humane ideals is assessed against a worst-case scenario. This article is an attempt to make explicit the connecting thread of 20 years of research into group IQ differences. On one level, the various researches recommended one another. Massive IQ gains over time revealed that the present generation has a huge IQ advantage over the previous generation. Yet the IQ advantage did not seem to be accompanied by a corresponding achievement advantage, which suggested the possibility that the mean IQ of Chinese and Japanese Americans might underpredict their achievements. IQ differences between the generations are clearly environmental in origin. Yet heritability of IQ within generations is robust, which suggested that high within-race heritability estimates do not signal a genetic IQ gap between Black and White populations. From this, it is a natural extension to address the meritocracy
Cites (64)
- EQUALITY OF EDUCATIONAL OPPORTUNITYColeman, James S. · 1968 · Equity & Excellence in Education
- Untitled work1998
- How Much Can We Boost IQ and Scholastic AchievementJensen, Arthur · 1969 · Harvard Educational Review
- The g factor: the science of mental ability1998 · Choice Reviews Online
- Untitled work1980 · DigitalGeorgetown (Georgetown University Library)
- Massive IQ gains in 14 nations: What IQ tests really measure.Flynn, James R. · 1987 · Psychological Bulletin
- Stanford-Binet Intelligence Scale2012 · SpringerReference
- The mean IQ of Americans: Massive gains 1932 to 1978.Flynn, James R. · 1984 · Psychological Bulletin
- Familial Studies of Intelligence: A ReviewBouchard, Thomas J., McGue, Matthew · 1981 · Science
- Educability and Group DifferencesJensen, Arthur · 2012 · Routledge eBooks
Cited by (37)
- The Raven's Progressive Matrices: Change and Stability over Culture and TimeRaven, John · 2000 · Cognitive Psychology
- Genetic and environmental influences on human psychological differencesBouchard, Thomas J., McGue, Matt · 2003 · Journal of Neurobiology
- The Impact of Childhood Intelligence on Later Life: Following Up the Scottish Mental Surveys of 1932 and 1947.Deary, Ian J., Whiteman, Martha C., Starr, John M., Whalley, Lawrence J., Fox, Helen C. · 2004 · Journal of Personality and Social Psychology
- Heritability estimates versus large environmental effects: The IQ paradox resolved.Dickens, William T., Flynn, James R. · 2001 · Psychological Review
- Comparative longitudinal structural analyses of the growth and decline of multiple intellectual abilities over the life span.McArdle, John J., Ferrer-Caja, Emilio, Hamagami, Fumiaki, Woodcock, Richard W. · 2002 · Developmental Psychology
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Searching for justice: The discovery of IQ gains over time. https://app.cochat.ai/papers/10.1037//0003-066x.54.1.5
- The paper
- Flynn, J. R. (1999). Searching for justice: The discovery of IQ gains over time. American Psychologist. https://doi.org/10.1037//0003-066x.54.1.5
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.