Tag Archives: race

The scientific racism in Roof’s statement (can we get Wade and Murray on the record?)

Get it? Scientific racism.

Get it? Scientific racism.

The 2,400-word statement posted by Dylann Roof before he carried out the Charleston massacre — murdering nine Black people in an A.M.E. Church prayer meeting — is a clear statement of his terrorist political intentions (it’s described here, and archived here).

It also includes some very banal scientific racism which could, in slightly fancier language, have been written by Nicholas Wade or Charles Murray. Roof wrote:

Anyone who thinks that White and black people look as different as we do on the outside, but are somehow magically the same on the inside, is delusional. How could our faces, skin, hair, and body structure all be different, but our brains be exactly the same? This is the nonsense we are led to believe. Negroes have lower Iqs, lower impulse control, and higher testosterone levels in generals. These three things alone are a recipe for violent behavior. If a scientist publishes a paper on the differences between the races in Western Europe or Americans, he can expect to lose his job.

With regard to Roof’s first two sentences, you might compare them with Wade’s (all quotes found in my article):

It is reasonable to assume that if traits like skin color have evolved in a population, the same may be true of its social behavior, and hence the very different kinds of society seen in the various races and in the world’s great civilizations differ not just because of their received culture—in other words, in what is learned from birth—but also because of variations in the social behavior of their members, carried down in their genes.

On the second point — IQ, impulse control, and testosterone in Blacks — Roof is also in line with Wade. Wade inflates the weak case that the (rare) MAO-A “warrior gene” makes Blacks more violent than Whites, genetically. And then on the question of violence and impulse control, Wade explains that Africa remains poor because it is genetically stuck in tribalism (read: poor impulse control) despite the awesome helpfulness of the colonial powers on that continent (“Tribal behavior is more deeply ingrained than mere cultural prescriptions. Its longevity and stability point strongly to a genetic basis”). And also violent, as the higher-than-average homicide rate in Africa represents “a difference that does not prove but surely allows room for a genetic contribution to greater violence in the less developed world.”

On the claim of a forced silence about these (supposed) truths among the scientific community, Murray and Wade also are in agreement with Roof. This is a major theme for Wade. Instead of “expect to lose his job,” Murray says a scientist who focuses on the genetics of racial difference will face “professional isolation and stigma.” The point is the same. 

Given the closeness of his statements to their ideas, I think it would be helpful for Wade and Murray to explain how Roof is or is not accurate, and then explicitly denounce Roof’s associated actions. Of course Wade and Murray would never countenance racial murder of the kind perpetrated by Roof, and I would never put them in the same category — except insofar as their ideas are in fact similar. I would hate for Roof’s white supremacist friends to read the silence from Wade and Murray as endorsement of his view of racial genetics and its use as a rationale for violence.

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Who’s your marriage market?

Richard Florida and the CityLab crew have produced some maps showing the relative size of the single male and female populations in metro areas across the country. They run the maps by age group — here’s the one for all single men and women ages 18-64:

180278ee4It mostly shows larger single female surpluses in the South and Northeast, and male surpluses in the West and upper Midwest.

The maps are interesting, but marriage markets aren’t as simple as gender. For example, among White, Black, and Hispanic newlyweds, 87% married someone in the same race/ethnic group, and 77% married someone on the same side of the BA/no-BA education divide. (I previously showed some figures on the relative number of “marriageable” Black and White men, by education, here.)

Just to underscore that point, here are the match rates in more detail. To make this I counted the matches by race/ethnicity (Black, White, Hispanic), education (BA/no-BA), and age (within 5 years) of people who were married in the previous 12 months, in the American Community Survey 2010-2012 (from IPUMS.org).

Here are the match rates, broken down by sex and race/ethnicity:

who they married 2010-2012.xlsxThis shows:

  • Altogether, half the newlyweds match their spouses on all three characteristics, and Whites are most likely to match.
  • Blacks are least likely to match on age.
  • Black women are more likely to match on race than Black men.
  • Hispanics are most likely to match on education (mostly without BAs).

Of course, lots of people don’t match on these traits — maybe even especially those adventurous types who pick up and move when they see a map like this. But whether you’re a matcher or not, before you plan your marriage-seeking move you need to know what you’re looking for (and what’s looking for you).

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Evolved: Nicholas Wade critique trilogy complete

Photo by Philip Cohen from Flickr Creative Commons.

Photo by Philip Cohen from Flickr Creative Commons.

After writing a book review, and further critique of Nicholas Wade’s book, A Troublesome Inheritance: Genes, Race and Human History, I have completed the trilogy with a piece forthcoming in the Annals of the American Academy of Political and Social Science.

The final article includes much of what was in the earlier pieces but edited, with more sources, and with additional material on the social science context. I have posted a pre-publication version here as, “Troubling race in the social sciences.”

Here is the conclusion:

It may be the case, as Freese (2008:S1) claims, that “the vast majority of individual-level outcomes of abiding sociological interest are genetically influenced to a substantial degree.” And it may be true that the historical migration and dispersion of people around the planet has resulted in genetically identifiable clusters that sometimes follow the contours of commonly understood races. But it does not follow that genetics explains the relative status and wellbeing of today’s racially-identified groups or their societies. In fact, these two lines of inquiry – the genetics of behavior and the geographic variation in human genetics – do not depend upon each other; the strong case linking them is the contemporary expression of scientific racism. The publication of Wade’s Troublesome Inheritance serves as a potent warning of the continued resonance of racially deterministic narratives of social inequality.

I’ve learned a lot from working on this. I hope you find it helpful.

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Is the Moynihan-backlash chilling effect a myth?

Recently we have seen the revival of the idea that some faction of the political left (liberal, progressive, or radical) is silencing debate through “political correctness,” as retold, for example, by Jonathan Chait. Similarly, there is a push by those reviving the 1965 Moynihan Report (neo-Moynihanists?) to advance a narrative in which venomous race police attacked Moynihan with such force that liberal social scientists were scared off the topic of “cultural explanations” (especially about marriage) for Black poverty and inequality.

This Moynihan chilling effect narrative got a recent boost from Nicholas Kristof in the New York Times. As Kristof tells it, “The taboo on careful research on family structure and poverty was broken by William Julius Wilson, an eminent black sociologist.” Kristof lifted that description from this recent article by McLanahan and Jencks (which he cites elsewhere in the column). They wrote:

For the next two decades [after 1965] few scholars chose to investigate the effects of father absence, lest they too be demonized if their findings supported Moynihan’s argument. Fortunately, America’s best-known black sociologist, William Julius Wilson, broke this taboo in 1987, providing a candid assessment of the black family and its problems in The Truly Disadvantaged.

This narrative, which seems to grow more simplistic and linear with each telling, is just not true. In fact, it’s pretty bizarre.

Herbert Gans in 2011 attributed the story to William Julius Wilson’s first chapter of The Truly Disadvantaged (1987), in which he said that, after the criticism of Moynihan, “liberal scholars shied away from researching behavior construed as unflattering or stigmatizing.” Wilson told a version of the story in 2009, in which the ideology expressed by “militant black spokespersons” spread to “black academics and intellectuals,” creating an atmosphere of “racial chauvinism,” in which “poor African Americans were described as resilient and were seen as imaginatively adapting to an oppressive society” when they engaged in “self destructive” aspects of “ghetto life.” (These aren’t scare quotes, I’m just being careful to use Wilson’s words.) In this vein of research,

…this approach sidesteps the issue altogether by denying that social dislocations in the inner city represent any special problem. Researchers who emphasized these dislocations were denounced, even those who rejected the assumption of individual responsibility for poverty and welfare, and focused instead on the structure or roots of these problems.

Accordingly, in the early 1970s, unlike in the middle 1960s, there was little motivation to develop a research agenda that pursued the structural and cultural roots of ghetto social dislocations. The vitriolic attacks and acrimonious debate that characterized this controversy proved to be too intimidating to scholars, particularly to liberal scholars. Indeed, in the aftermath of this controversy and in an effort to protect their work from the charge of racism, or of blaming the victim, many liberal social scientists tended to avoid describing any behavior that could be construed as unflattering or stigmatizing to people of color. Accordingly, until the mid-1980s and well after this controversy had subsided, social problems in the inner-city ghetto did not attract serious research attention.

Wilson includes this very strong causal statement: “the controversy over the Moynihan Report resulted in a persistent taboo on cultural explanations to help explain social problems in the poor black community.” I would love to see any direct evidence — eyewitness accounts or personal testimony — of this chilling effect on researchers.

If you read it generously, Wilson is mostly saying that there was a fall-off in the kind of argument that he preferred, one that “pursued the structural and cultural roots of ghetto social dislocations,” and showed how ghetto lifestyles were harming Black fortunes. It’s one thing to say a certain perspective fell out of favor, but that’s a far cry from claiming that “few scholars chose to investigate … the black family and its problems,” the McLanhan and Jencks assertion that Kristof repeats.

What is the evidence? To make that causal story stick, you’d have to rule out other explanations for a shift in the orientation of research (if there was one). If attitudes like Moynihan’s fell out of favor after 1965, can you think of anything else happening at that time besides vicious academic critiques of Moynihan that might have provoked a new, less victim-blamey perspective? Oh, right: history was actually happening then, too.

free_breakfast

As for the idea people simply stopped researching Black poverty, “culture,” and family structure, that’s just wrong. Here, mostly drawn from Frank Furstenberg’s review, “The Making of the Black Family: Race and Class in Qualitative Studies in the Twentieth Century,” are some of the works published during this time when researchers were supposedly avoiding the topic:

  • Billingsley A. 1968. Black Families in White America. Englewood Cliffs, NJ: Prentice-Hall
  • Williams T, Kornblum W. 1985. Growing up Poor. Lexington, MA: Lexington Books
  • Chilman CS. 1966. Growing Up Poor. Washington, DC: USGPO
  • Liebow E. 1968. Tally’s Corner. Boston: Little, Brown
  • Hannerz U. 1969. Soulside: Inquiries into Ghetto Culture and Community. New York: Columbia Univ. Press
  • Stack C. 1974. All Our Kin. Chicago: Aldine
  • Schultz DA. 1969. Coming up Black: Patterns of Ghetto Socialization. Englewood Cliffs, NJ: Prentice Hall
  • Staples R. 1978. The Black Family: Essays and Studies. Belmont, CA: Wadsworth. 2nd ed.
  • Ladner JA. 1971. Tomorrow’s Tomorrow: The Black Woman. Garden City, NY: Doubleday
  • Furstenberg FF. 1976. Unplanned Parenthood: The Social Consequences of Teenage Childbearing. New York: Free Press

In Furstenberg’s account, many of the themes in these studies were reminiscent of research done earlier in the century, when social science research on poor Black families first emerged:

…the pervasive sense of fatalism among the poor, a lack of future orientation among youth, early parenthood as a response to blocked opportunity, sexual exploitation, tensions between men and women, the unswerving commitment to children regardless of their birth status among mothers, and the tenuous commitment among nonresidential fathers.

In addition, as Alice O’Connor notes in her intellectual history, Poverty Knowledge: Social Science, Social Policy, and the Poor in Twentieth-Century U.S. History, there was a shift around this time to more quantitative, technocratic research, using individual microdata. In particular, the highly influential Panel Study of Income Dynamics began producing studies at the start of the 1970s, and many scholars published research comparing social and economic outcomes across race, class, and family type using this data source. Here is a small sample of journal articles from 1971 to 1985, when the Moynihan taboo supposedly reigned:

  • Datcher, Linda. 1982. “Effects of Community and Family Background on Achievement.” Review of Economics and Statistics 64 (1): 32–41.
  • Greenberg, David, and Douglas Wolf. 1982. “The Economic Consequences of Experiencing Parental Marital Disruptions.” Children and Youth Services Review, 4 (1–2): 141–62.
  • Hampton, Robert L. 1979. “Husband’s Characteristics and Marital Disruption in Black Families.” Sociological Quarterly 20 (2): 255–66.
  • Hofferth, Sandra L. 1984. “Kin Networks, Race, and Family Structure.” Journal of Marriage and Family 46 (4): 791–806.
  • Hoffman, Saul. 1977. “Marital Instability and the Economic Status of Women.” Demography 14 (1): 67–76.
  • McLanahan, Sara. 1985. “Family Structure and the Reproduction of Poverty.” American Journal of Sociology 90 (4): 873–901.
  • Moffitt, Robert. 1983. “An Economic Model of Welfare Stigma.” American Economic Review 73 (5): 1023–35.
  • Smith, Michael J. 1980. “The Social Consequences of Single Parenthood: A Longitudinal Perspective.” Family Relations 29 (1): 75–81.

At least three of these scholars survived the experience of researching this subject and went on to become presidents of the Population Association of America.

Finally, an additional line of research pursued the question of family structure impacts on education or economic attainment, specifically aimed at assessing the impact of family structure on racial inequality. These studies were highly influential and widely cited, including:

  • Duncan, Beverly, and Otis Dudley Duncan. 1969. “Family Stability and Occupational Success.” Social Problems 16 (3): 273–85.
  • Featherman, David L., and Robert M. Hauser. 1976. “Changes in the Socioeconomic Stratification of the Races, 1962-73.” American Journal of Sociology 82 (3): 621–51.
  • Hauser, Robert M., and David L. Featherman. 1976. “Equality of Schooling: Trends and Prospects.” Sociology of Education 49 (2): 99–120.

I don’t know how you get from this rich literature to the notion that a liberal taboo was blocking progress — unless you define research progress according to the nature of the conclusions drawn, rather than the knowledge gained.

The resilience of this narrative reflects the success of conservative critics in building an image of leftist academics as ideological bullies who suppress any research that doesn’t toe their line. Such critics have a right to their own perspectives, but not to their own facts.

[Thanks to Shawn Fremstad for pointing me to some of these readings.]

Exceptions, suggested reading, and counterarguments welcome in the comments.

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Marriage rates among people with disabilities (save the data edition)

Cross posted on the Families as They Really Are blog.

Disability is a very broad concept, representing a wide array of conditions that are not easily captured in a simple demographic survey. However, disabilities are very prevalent, especially in an aging society, and the people who experience disabilities differ in important ways from those who do not. Previously I reported — in a preliminary way — that people with disabilities are much more likely to divorce than those without. Here I present some numbers on marriage rates.

This isn’t the kind of thorough, probing analysis this subject requires. But I have two reasons to do it now. First is that I hope to motivate other people to pursue this issue in greater depth. And second, I want to highlight the importance of the data I’m using — the American Community Survey (ACS) — because it might be not available for much longer. These questions have been slated for demolition by the U.S. Census Bureau on cost-saving grounds. I put details about this issue — and how to register your opinion with the federal government — at the end of the post.

Disabilities

The ACS asks five disability questions (I put the shorthand label after each):

  1. Is this person deaf or does he/she have serious difficulty hearing? (Hearing)
  2. Is this person blind or does he/she have serious difficulty seeing even when wearing glasses? (Vision)
  3. Because of a physical, mental, or emotional condition, does this person have serious difficulty concentrating, remembering, or making decisions? (Cognitive)
  4. Does this person have serious difficulty walking or climbing stairs? (Ambulatory)
  5. Does this person have difficulty dressing or bathing? (Independent living)

These aren’t perfect questions, but they cover a lot of ground, and the ACS — which involves about 3 million households — can’t get into too much detail.

One great thing about having these questions on the giant ACS is you can use the data to get all the way down to the local level, or into small race/ethnic groups. And with the marital events questions, you can combine disability information and marriage information.

First-marriage rates

Using marital events (did you get married in the last year), marital history (how many times have you been married), detailed race and ethnicity breakdowns, and the disability questions above, I produced the following figure. This uses the combined 2008-2012 ACS data because these are small groups, but even with five years of data these groups get quite small. There are about 90,000 non-Hispanic Whites with a cognitive disability in my sample, but only 356 people who are both White and American Indian with a hearing disability (the smallest group I included). This sample is people ages 18-49 who have never been married (or just got married).

disab-marriage-rates

The overall first-marriage rate for people ages 18-49 is 71.8 per 1,000. For people with disabilities it’s 41.1 (shown by the blue line). So that’s much lower than for the general population. But there is a very wide variation across these groups, from 15.5 per thousand for Blacks with disabilities in independent living all the way up to above the national average for Whites and White/American Indians with hearing disabilities. (For every condition, Blacks with disabilities have the lowest marriage rates.)

I don’t draw any conclusions here, except that this is an important subject and I hope more people will study it. Also, we need data like this.

In previous posts demonstrating the value of this data source, I wrote about:

Whether you are a researcher or some other member of the concerned public, I hope you will consider dropping the government a line about this before the end of the year.

The information about the planned cuts to the American Community Survey is here: https://www.federalregister.gov/articles/2014/10/31/2014-25912/proposed-information-collection-comment-request-the-american-community-survey-content-review-results:

Direct all written comments to Jennifer Jessup, Departmental Paperwork Clearance Officer, Department of Commerce, Room 6616, 14th and Constitution Avenue NW., Washington, DC 20230 (or via the Internet at jjessup@doc.gov).

Comments will be accepted until December 30.

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Certain death? Black-White death dispersions

New research report, after rumination.

Knowing the exact moment of death is a common fantasy. How would it change your life? Here’s a concrete example: when I got a usually-incurable form of cancer, and the oncologist told me the median survival for my condition was 10 to 20 years, I treated myself to the notion that at least I wasn’t going to the dentist anymore (6 years later, with no detectable cancer, I’m almost ready to give up another precious hour to dentistry).

I assume most people don’t want to die at a young age, but is that because it makes life shorter or because it makes them think about death sooner? When a child discovers a fear of death, isn’t it tempting to say, “don’t worry: you’re not going to die for a long, long time”? The reasonable certainty of long life changes a lot about how we think and interact (one of the many reasons you can’t understand modernity without knowing some basic demography). I wrote in that cancer post, “Nothing aggravates the modern identity like incalculable risk.” I don’t know that’s literally true, but I’m sure there’s some connection between incalculability and aggravation.

Consider people who have to decide whether to get tested for the genetic mutation that causes Huntington’s disease. It’s incurable and strikes in what should be “mid”-life. Among people with a family history of Huntington’s disease, Amy Harmon reported in the New York Times, the younger generation increasingly wants to know:

More informed about the genetics of the disease than any previous generation, they are convinced that they would rather know how many healthy years they have left than wake up one day to find the illness upon them.

The subject of Harmon’s story set to calculating (among other things) whether she’d finish paying off her student loans before her first symptoms appeared.

The personal is demographic

So what is the difference between two populations, one of which has a greater variance in age at death than the other? (In practice, greater variance usually means more early deaths, and the risk of a super long life probably isn’t as disturbing as fear of early death.) Researchers call the prevalence of early death — as distinct from a lower average age at death — “life disparity,” and it probably has a corrosive effect on social life:

Reducing early-life disparities helps people plan their less-uncertain lifetimes. A higher likelihood of surviving to old age makes savings more worthwhile, raises the value of individual and public investments in education and training, and increases the prevalence of long-term relationships. Hence, healthy longevity is a prime driver of a country’s wealth and well-being. While some degree of income inequality might create incentives to work harder, premature deaths bring little benefit and impose major costs. (source)

That’s why reducing life disparity may be as important socially as increasing life expectancy (the two are highly, but not perfectly, correlated).

New research

Consider a new paper in Demography by Glenn Firebaugh and colleagues, “Why Lifespans Are More Variable Among Blacks Than Among Whites in the United States.”

I previously reported on the greater life disparity and lower life expectancy among Blacks than among Whites. Here is Firebaugh et al’s representation of the pattern (the distribution of 100,000 deaths for each group):

bwdeaths

Black deaths are earlier, on average, but also more dispersed. The innovation of the paper is that they decompose the difference in dispersion according to the causes of death and the timing of death for each cause. The difference in death timing results from some combination of three patterns. Here’s their figure explaining that (to which I added colors and descriptions, as practice for teaching myself to use an illustration program — click to enlarge):

bw death disparities

The overall difference in death timing can result from the same causes of death, with different variance in timing for each around the same mean (spread); different causes of death, but with the same age pattern of death for each cause (allocation); and the same causes of death, but different average age at death for each (timing). Above I said greater variability in life expectancy usually means more early deaths, but with specific causes that’s not necessarily the case. For example, one group might have most of its accidental deaths at young ages, while another has them more spread over the life course.

Overall, the spread effect matters most. They conclude that even if Blacks and Whites died from the same causes, 87% of the difference in death timing would persist because of the greater variance in age at death for every major cause. There are differences in causes, but those mostly offset. Especially dramatic are greater variance in the timing of heart disease (especially for women), cancer, and asthma (presumably more early deaths), The offsetting causes are higher Black rates of homicide (for men) and HIV/AIDS deaths, versus high rates of suicide and accidental deaths among White men (especially drug overdoses).

The higher variance in causes of death seems consistent with problems of disease prevention and disparities in treatment access and quality. (I’m not expert on this stuff, so please don’t take it exclusively from me — read the paywalled paper or check with the authors if you want to pursue this.)

Are these differences in death timing enough to create differences in social life and outlook, or health-related behavior, between these two groups? I don’t know, but it’s worth considering.

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Video series debut: The Story Behind the Numbers

The wonderful animators at Kiss Me I’m Polish, who did the design and graphics for my book The Family, are producing short videos based on an infographic series in the text called The Story Behind the Numbers. These are less than 2 minutes long and use just a few numbers, intended to spur reflection and discussion in conjunction with the details in the book, with narration by me.

The first one is available now. From chapter 7, “Love and Romantic Relationships,” we have a one-minute animation called, “Race and ethnicity divides college students’ dating lives.” In the book I took numbers from Elizabeth Aura McClintock’s 2010 paper in Journal of Marriage and Family and reported on the relative frequency of within-race/ethnicity dating among students at Stanford University. It’s fascinating to me how strong the matching is in such an elite setting, where you might expect gradations of social status to matter less.

The graphic in the book represents the whole table of matches relative to the proportion of each group in the dating pool.

As the rest of series comes out I will link them from the Teaching page.

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