This review focuses on the work of Keuschnigg, van de Rijt, and Bol (2023), who explore the relationship between cognitive ability and success in high-income and high-prestige occupations. Their findings challenge the assumption that the highest earners consistently display exceptional cognitive ability, offering new insights into how social factors and cumulative advantages influence professional achievement.
Background
Using a comprehensive dataset of 59,000 Swedish men who underwent military conscription testing, the authors examine how cognitive ability correlates with income and occupational prestige. The study builds on existing research by introducing a novel perspective: while cognitive ability and income are strongly linked overall, this relationship diminishes among top earners.
Key Insights
- Cognitive Ability and Income: While higher cognitive ability generally predicts higher earnings, the study identifies a plateau effect. Above €60,000 per year, cognitive ability levels off, averaging just +1 standard deviation, with the top 1% of earners scoring slightly lower than those earning slightly less.
- Cognitive Ability and Prestige: A similar but less pronounced plateau is observed in high-prestige occupations, suggesting that factors beyond cognitive ability contribute to occupational success.
- Role of Social Factors: The findings highlight the importance of social background and cumulative advantages, which may outweigh cognitive ability in determining access to top positions.
Significance
This study adds depth to the conversation around cognitive ability and success, emphasizing that intelligence alone does not determine professional achievement. Social influences and systemic factors, such as networking opportunities or socio-economic background, play a significant role. These findings are particularly relevant for policymakers and researchers working to create equitable professional environments and access to high-paying roles.
Future Directions
Further research could expand on this study by examining additional demographic groups or exploring how different industries contribute to the plateauing effect. Understanding how social background interacts with individual attributes could inform interventions aimed at reducing barriers to success.
Conclusion
Keuschnigg, van de Rijt, and Bol (2023) provide valuable insights into the nuanced relationship between cognitive ability and occupational success. Their work underscores the complex interplay of individual skills and social factors in shaping outcomes, offering a foundation for ongoing research and policy discussions.
Reference:
Keuschnigg, M., van de Rijt, A., & Bol, T. (2023). The plateauing of cognitive ability among top earners. European Sociological Review, jcac076. https://doi.org/10.1093/esr/jcac076
Cognitive Aging and Neurodegenerative Disease
Cognitive aging follows a complex trajectory that varies substantially across individuals. Normal aging is associated with gradual declines in processing speed, working memory capacity, and episodic memory encoding, beginning as early as the late 20s for some measures. However, crystallized abilities — vocabulary, general knowledge, and expertise — typically remain stable or increase into the 60s and beyond.
Key Takeaways
- However, the relationship plateaus at higher ability levels — beyond a certain threshold (roughly IQ 120), additional IQ points contribute diminishing returns to earning potential.
- However, the relationship plateaus at higher ability levels — beyond a certain threshold (roughly IQ 120), additional IQ points contribute diminishing returns to earning potential.
- Above €60,000 per year, cognitive ability levels off, averaging just +1 standard deviation, with the top 1% of earners scoring slightly lower than those earning slightly less.
- Mild cognitive impairment (MCI) represents a transitional state between normal aging and dementia, with approximately 10-15% of MCI cases progressing to Alzheimer’s disease annually.
Distinguishing normal age-related cognitive changes from early neurodegenerative disease is a major clinical challenge. Mild cognitive impairment (MCI) represents a transitional state between normal aging and dementia, with approximately 10-15% of MCI cases progressing to Alzheimer’s disease annually. Early detection tools, including sensitive neuropsychological assessments, biomarker panels, and structural brain imaging, are increasingly able to identify individuals at risk before significant functional decline occurs.
Cognitive reserve — the accumulated neural resources and cognitive strategies built through education, occupational complexity, and intellectual engagement — provides a buffer against brain aging and pathology. Individuals with higher cognitive reserve can sustain greater amounts of brain damage before showing clinical symptoms. This concept has important implications for prevention: lifelong cognitive engagement, physical exercise, social participation, and cardiovascular risk management are all associated with reduced dementia risk and slower cognitive decline.
Implications for Test Users and Practitioners
These findings have direct implications for professionals who administer, interpret, or rely on cognitive test results. Clinicians should report confidence intervals alongside point estimates, use profile analysis to identify meaningful strengths and weaknesses rather than relying solely on Full Scale IQ, and consider the measurement properties of the specific subtests being interpreted. Score differences that fall within the standard error of measurement should not be over-interpreted as meaningful patterns.
For organizational contexts (educational placement, employment selection, forensic evaluation), understanding measurement properties helps prevent both over-reliance on test scores and inappropriate dismissal of their utility. The best practice is to integrate cognitive test results with other sources of information — behavioral observations, developmental history, academic records, and adaptive functioning — rather than making high-stakes decisions based on any single score.
Frequently Asked Questions
Does higher IQ mean higher income?
IQ correlates moderately (r = 0.3-0.4) with income. However, the relationship plateaus at higher ability levels — beyond a certain threshold (roughly IQ 120), additional IQ points contribute diminishing returns to earning potential. Non-cognitive factors like conscientiousness, social skills, and opportunity become relatively more important.
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Read more →Why is background important?
Using a comprehensive dataset of 59,000 Swedish men who underwent military conscription testing, the authors examine how cognitive ability correlates with income and occupational prestige. The study builds on existing research by introducing a novel perspective: while cognitive ability and income are strongly linked overall, this relationship diminishes among top earners.
How does key insights work in practice?
Cognitive Ability and Income: While higher cognitive ability generally predicts higher earnings, the study identifies a plateau effect. Above €60,000 per year, cognitive ability levels off, averaging just +1 standard deviation, with the top 1% of earners scoring slightly lower than those earning slightly less. Cognitive Ability and Prestige: A similar
