According to the mainstream narrative about race, all groups have the same innate dispositions and potential, and all disparities—at least those favoring whites—are due to past or present racism. Some people who reject this narrative gravitate toward an alternative, anti-Jewish narrative, which sees recent history in terms of a Jewish/gentile conflict. The most sophisticated promoter of the anti-Jewish narrative is the evolutionary psychologist Kevin MacDonald. MacDonald argues that Jews have a suite of genetic adaptations—including high intelligence and ethnocentrism—and cultural practices (...) that lead them to undermine gentile society to advance their own evolutionary interests. He says that Jewish-designed intellectual movements have weakened gentile identity and culture while preserving Jewish identity and separatism. Cofnas recently argued that MacDonald’s theory is based on “systematically misrepresented sources and cherry-picked facts.” However, Cofnas gave short shrift to at least three key claims: Jews are highly ethnocentric, liberal Jews hypocritically advocate liberal multiculturalism for gentiles/gentile countries but racial purity and separatism for Jews/Israel, and Jews are responsible for liberalism and mass immigration to the United States. The present paper examines these claims and concludes that MacDonald’s views are not supported. (shrink)

A number of philosophers argue that law enforcement officers may have good reasons to racially profile suspects under certain conditions. Their conclusions rest on a claim of epistemic rationality: if members of some races are at an increased risk of criminality, then it may be rational for law enforcement officers to subject them to increased scrutiny. In this paper I contest the epistemic rationality of racial profiling by appealing to recent work in criminology and the sociology of race and crime. (...) I argue that recent studies indicate that race is a comparatively poor baseline for judging criminality. Law enforcement officers are therefore not making a cognitive error by ignoring race to focus on other correlates of crime but are keeping up with our best social science. (shrink)

Many people greet evidence of biologically based race and sex differences with extreme skepticism, even hostility. We argue that some of the vehemence with which many intellectuals in the West resist claims about group differences is rooted in the tacit assumption that accepting evidence for group differences in socially valued traits would undermine our reasons to treat people with respect. We call this theegalitarian fallacy. We first explain the fallacy and then give evidence that self-described liberals in the United States (...) are especially likely to commit it when they reason about topics like race and sex. We then argue that people should not be as worried as they often are about research that finds psychological differences between men and women, or between people of different racial or ethnic groups. We conclude that if moral equality is believed to rest on biological identity, ethnically diverse societies are in trouble. (shrink)

Statistical discrimination is a form of discrimination that uses statistical inferences about the groups to which individuals belong as grounds for treating them differently. It remains unclear what, if anything, makes statistical discrimination wrong. My thesis argues that statistical discrimination is wrong because, and insofar as, it contributes to existing social injustice. After an introduction to the issues in section 1, section 2 clarifies the concept of statistical discrimination and its differences with non-statistical discrimination. Section 3 discusses different accounts that (...) seek to explain when and why statistical discrimination is wrong. I examine two approaches, one of which regards the wrong of statistical discrimination as part of discrimination in general, while the other conceives of the wrong as distinctive to statistical discrimination itself. I argue the former approach is better. Among different accounts within the approach, the context-based consequentialist account that explains the wrong in relation to existing social injustice is most promising. Section 4 uses racial profiling as an example to illustrate how the account can help explain this hard case of statistical discrimination, calling upon an argument developed by Benjamin Eidelson. (shrink)