The purpose of this post is to provide a comprehensive overview of racial and ethnic disparities on cognitive and academic tests in the United States. The primary focus is on black and white Americans because most data focuses on comparing these groups, but I’ll also mention disparities for other groups (mainly Hispanics and Asians) when such data is available. I start by reviewing data on the magnitude of racial disparities in cognitive ability. Next, I consider racial disparities in other kinds of tests, including college admissions and academic achievement tests, finding that these disparities are about as large as disparities in cognitive ability. Then, to better contextualize the magnitude of racial disparities in test scores, I compare racial gaps to gaps between other groups, such as students from different countries or different levels of socioeconomic status. Finally, I present data on the ubiquity of test score gaps, showing that the gaps persist through all levels of education, across all geographical units of analysis, and across all socioeconomic levels.
In a previous post, I cited data showing that cognitive ability is significantly correlated with various important outcomes, such as academic achievement, occupational performance, socioeconomic status, anti-social behavior, and health. However, that data only establishes that there is a statistical association between cognitive ability and these outcomes. The data does not establish that cognitive ability has a causal influence on any of these outcomes. In this post, I will provide evidence that cognitive ability has a causal influence on academic achievement, occupational performance, socioeconomic success, and anti-social behavior.
There is overwhelming evidence showing the predictive validity of cognitive ability for important life outcomes. Cognitive ability measured as early as age 6 has a strong association with one’s future success in a number of important outcomes, including academic achievement, occupational performance, income, educational attainment, occupational prestige, criminality, self-control, and health. The associations are typically large, often making cognitive ability the best predictor for such outcomes. In this post, I will cite research showing this evidence. I will begin with some background on cognitive ability, including definitions, the distributions of IQ test scores, the stability of cognitive ability test scores, and expert consensus on the validity of cognitive ability. Finally, I will cite data demonstrating the predictive validity of cognitive ability in academic achievement, occupational performance, socioeconomic success, anti-social behavior, and health.
There is overwhelming evidence demonstrating the undeniable predictive validity of cognitive ability. Cognitive ability measured as early as age 6 has a strong association with one’s future success in a number of important outcomes, including income, educational attainment, academic performance, occupational prestige, occupational performance, criminality, etc. These associations are robust, persisting even after controlling for a number of plausible confounding variables, including parental socioeconomic status, race, job training and job experience, and other risk factors for the relevant life outcomes. The totality of evidence heavily implies that this association is causal, indicating that early cognitive ability is a powerful factor in determining a person’s chances of achieving conventional measures of success in Western societies.
In previous posts, I have emphasized the predictive power of IQ on a variety of outcomes such as education academic achievement, educational attainment, occupational prestige, income, and crime. I referenced studies showing that IQ is a better predictor of many of these outcomes compared to other metrics traditionally assumed to predict success. For example, many studies show that IQ predicts education, occupation, and income better than many metrics that people assume to be predictors of success – e.g. parental SES, parental income, parental education, etc. Such data might lead some to believe that IQ is by far the single best predictor of conventional measures of success within Western societies. I wish to challenge that idea in this post. I do not necessarily deny that IQ is generally the best predictor of certain measures of success. Rather, I insist that there are a variety of personality traits that are better predictors for certain measures of success. There are many personality traits that I could use to support my argument, such as conscientiousness or locus of control. In this post, I will focus on self-regulation. I will present data showing that self-regulation predicts a variety of important outcomes independent of various confounders (including IQ and parental SES).
Most people are aware that there are significant disparities between blacks and whites in the United States with regard to a wide range of important social outcomes, including crime, income, education, poverty, welfare usage, etc. For almost every measurable metric of important life outcomes, blacks perform significantly worse than whites. In this post, I will cite studies showing that many of these disparities are likely caused by the significant cognitive differences between blacks and whites. I begin by illustrating a few examples of the disparities between blacks and whites with respect to important life outcomes. Then I briefly review evidence demonstrating the predictive validity and causal influence of cognitive ability for these outcomes. Next, I present data illustrating the scope and magnitude of the black-white cognitive ability gap. Finally, I provide evidence indicating that many of the aforementioned disparities between blacks and whites are (mostly) eliminated after controlling for youth cognitive ability.
In this post, I will consider some of the most commonly posited explanations of the black-white cognitive ability gap. Firstly, I consider what I call the Test Bias Hypothesis, which posits that black-white differences in cognitive test scores are the result of biased tests rather than genuine differences in cognitive ability. Secondly, I consider the Schooling Hypothesis, which holds that the cognitive ability gap is the result of differences in schooling between blacks and whites. Finally, I consider the Socioeconomic Hypothesis, which affirms that the cognitive ability gap is the result of the SES gap. I will argue that each of these hypotheses fail to adequately account for the cognitive ability gap. The predictions made by each of these hypotheses (insofar as they make predictions) are consistently falsified by the preponderance of data.
Most people are aware of the significant disparities between blacks and whites regarding a wide range of important social outcomes, including crime, income, education, poverty, welfare usage, etc. I have written extensively on racial disparities in crime and on the degree to which disparities in IQ explain many of the important racial disparities. In this post, I will review studies and data that show that many of these disparities appear extremely early. Specifically, I will show that disparities in IQ, cognitive skills, misconduct, and self-regulation appear extremely early in life. For each of these categories, I will show that we find black-white disparities at pre-school age or even earlier. The general pattern for these disparities is that they gradually grow as children age, until the magnitude of the disparities eventually mirror the gaps that we find between black and white adults.
The purpose of this post is to explore two commonly hypothesized explanations of the high levels of criminality in the black population. The first explanation states that high rates of black crime is primarily the result of systemic racism against blacks. The second explanation states that high rates of black crime is primarily the result of the structural or socioeconomic circumstances that black people find themselves in. I will present data that should prompt skepticism of both of these explanations. I’ll begin by describing racial differences in crime.
In a previous post, I provided reasons to be skeptical of SES-based explanations of black criminality. This post provides studies that attempt to more rigorously examine the relationship between SES and black criminality. At the city and state level, crime is more strongly associated with the presence of blacks than it is with low-SES conditions. At the neighborhood level, studies suggest that controlling for SES can statistically account for a moderate portion of the black-white gaps in crime (although findings are mixed on the magnitude of the explained gap). Regardless, as I will argue below, such studies cannot demonstrate causality. That is, they cannot demonstrate that racial differences in neighborhood SES cause any portion of the racial gap in crime.