Tag Archives: racism

Black men raping White women: BJS’s Table 42 problem

I’ve been putting off writing this post because I wanted to do more justice both to the history of the Black-men-raping-White-women charge and the survey methods questions. Instead I’m just going to lay this here and hope it helps someone who is more engaged than I am at the moment. I’m sorry this post isn’t higher quality.

Obviously, this post includes extremely racist and misogynist content, which I am showing you to explain why it’s bad.

This is about this very racist meme, which is extremely popular among extreme racists.

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The modern racist uses statistics, data, and even math. They use citations. And I think it takes actually engaging with this stuff to stop it (this is untested, though, as I have no real evidence that facts help). That means anti-racists need to learn some demography and survey methods, and practice them in public. I was prompted to finally write on this by a David Duke video streamed on Facebook, in which he used exaggerated versions of these numbers, and the good Samaritans arguing with him did not really know how to respond.

For completely inadequate context: For a very long time, Black men raping White women has been White supremacists’ single favorite thing. This was the most common justification for lynching, and for many of the legal executions of Black men throughout the 20th century. From 1930 to 1994 there were 455 people executed for rape in the U.S., and 89% of them were Black (from the 1996 Statistical Abstract):

1996statabs-executions

For some people, this is all they need to know about how bad the problem of Blacks raping Whites is. For better informed people, it’s the basis for a great lesson in how the actions of the justice system are not good measures of the crimes it’s supposed to address.

Good data gone wrong

Which is one reason the government collects the National Crime Victimization Survey (NCVS), a large sample survey of about 90,000 households with 160,000 people. In it they ask about crimes against the people surveyed, and the answers the survey yields are usually pretty different from what’s in the crime report statistics – and even further from the statistics on things like convictions and incarceration. It’s supposed to be a survey of crime as experienced, not as reported or punished.

It’s an important survey that yields a lot of good information. But in this case the Bureau of Justice Statistics is doing a serious disservice in the way they are reporting the results, and they should do something about it. I hope they will consider it.

Like many surveys, the NCVS is weighted to produce estimates that are supposed to reflect the general population. In a nutshell, that means, for example, that they treat each of the 158,000 people (over age 12) covered in 2014 as about 1,700 people. So if one person said, “I was raped,” they would say, “1700 people in the US say they were raped.” This is how sampling works. In fact, they tweak it much more than that, to make the numbers add up according to population distributions of variables like age, sex, race, and region – and non-response, so that if a certain group (say Black women) has a low response rate, their responses get goosed even more. This is reasonable and good, but it requires care in reporting to the general public.

So, how is the Bureau of Justice Statistics’ (BJS) reporting method contributing to the racist meme above? The racists love to cite Table 42 of this report, which last came out for the 2008 survey. This is the source for David Duke’s rant, and the many, many memes about this. The results of Google image search gives you a sense of how many websites are distributing this:

imagesearch

Here is Table 42, with my explanation below:

table42-highlighted

What this shows is that, based on their sample, BJS extrapolates an estimate of 117,640 White women who say they were sexually assaulted, or threatened with sexual assault, in 2008 (in the red box). Of those, 16.4% described their assailant as Black (the blue highlight). That works out to 19,293 White women sexually assaulted or threatened by Black men in one year – White supremacists do math. In the 2005 version of the table these numbers were 111,490 and 33.6%, for 37,460 White women sexually assaulted or threatened by Black men, or:

everyday

Now, go back to the structure of the survey. If each respondent in the survey counts for about 1,700 people, then the survey in 2008 would have found 69 White women who were sexually assaulted or threatened, 11 of whom said their assailant was Black (117,640/1,700). Actually, though, we know it was less than 11, because the asterisk on the table takes you to the footnote below which says it was based on 10 or fewer sample cases. In comparison, the survey may have found 27 Black women who said they were sexually assaulted or threatened (46,580/1,700), none of whom said their attacker was White, which is why the second blue box shows 0.0. However, it actually looks like the weights are bigger for Black women, because the figure for the percentage assaulted or threatened by Black attackers, 74.8%, has the asterisk that indicates 10 or fewer cases. If there were 27 Black women in this category, then 74.8% of them would be 20. So this whole Black women victim sample might be as little as 13, with bigger weights applied (because, say, Black women had a lower response rate). If in fact Black women are just as likely to be attacked or assaulted by White men as the reverse, 16%, you might only expect 2 of those 13 to be White, and so finding a sample 0 is not very surprising. The actual weighting scheme is clearly much more complicated, and I don’t know the unweighted counts, as they are not reported here (and I didn’t analyze the individual-level data).

I can’t believe we’re talking about this. The most important bottom line is that the BJS should not report extrapolations to the whole population from samples this small. These population numbers should not be on this table. At best these numbers are estimated with very large standard errors. (Using a standard confident interval calculator, that 16% of White women, based on a sample of 69, yields a confidence interval of +/- 9%.) It’s irresponsible, and it’s inadvertently (I assume) feeding White supremacist propaganda. The Census Bureau generally wouldn’t report numbers like this (I think their cutoff is a sample of 50).

Rape and sexual assault are very disturbingly common, although not as common as they were a few decades ago, by conventional measures. But it’s a big country, and I don’t doubt lots of Black men sexual assault or threaten White women, and that White men sexually assault or threaten Black women a lot, too – certainly more than never. If we knew the true numbers, they would be bad. But we don’t.

A couple more issues to consider. Most sexual assault happens within relationships, and Black women have interracial relationships at very low rates. In round numbers (based on marriages), 2% of White women are with Black men, and 5% of Black women are with White men, which – because of population sizes – means there are more than twice as many couples with Black-man/White-woman than the reverse. At very small sample sizes, this matters a lot. But we would expect there to be more Black-White rape than the reverse based on this pattern alone. Consider further that the NCVS is a household sample, which means that if any Black women are sexually assaulted by White men in prison, it wouldn’t be included. Based on a 2011-2012 survey of prison and jail inmates, 3,500 women per year are the victim of staff sexual misconduct, and Black women inmates were about 50% more likely to report this than White women. So I’m guessing the true number of Black women sexually assaulted by White men is somewhat greater than zero, and that’s just in prisons and jails.

The BJS seems to have stopped releasing this form of the report, with Table 42, maybe because of this kind of problem, which would be great. In that case they just need to put out a statement clarifying and correcting the old reports – which they should still do, because they are out there. (The more recent reports are skimpier, and don’t get into this much detail [e.g., 2014] – and their custom table tool doesn’t allow you to specify the perceived race of the offender).

So, next time you’re arguing with David Duke, the simplest response to this is that the numbers he’s talking about are based on very small samples, and the asterisk means he shouldn’t use the number. The racists won’t take your advice, but it’s good for everyone else to know.

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Racist pile on, Storified

I made a Storify story out of a Twitter conversation I had with a bunch of racist Trump supporters yesterday. Here it is: Racist pile on. I can’t embed it here, probably just as well because a lot of readers probably don’t want to read Nazi propaganda, racial slurs, and gas chamber references.

This was the only thing they gave me that I actually laughed at.

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It sums up the power theory of racism nicely. But you have to stop to think about it. That’s not really how it happens, two innocent kids saying the same thing. In real life it’s more like Black Lives Matter saying “We like to be Black, and I don’t want our people to be killed for it,” and a mob of DavidDuke/Trump supporters burning a cross and yelling back at them, “White power!”

But anyway, interested to hear what you think if you go read the Storify thing.

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Civility in the swelter (Hershey Park edition)

This post combines my love of vacations (context), my habit of taking pictures of people in public places (data)*, and my sociological tendency to invent big conclusions from minor events (theory). As with last year’s selfie post , I hope you don’t take from this that I don’t really love vacations.

With 3.2 million annual visitors, Hershey Park is barely in the top 20 amusement/theme parks in the country. And unlike the top draws, all Disney properties, I reckon Hershey mostly draws a local and regional crowd, which means they’re not as rich as the average Disney visitor.

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What interests me is the way this lower-middle amusement park creates the context for civility in a very diverse environment, even as racial and ethnic conflagration seems to be breaking out all over.

It’s very racially and ethnically diverse, and most of the Whites either aren’t rich or they’re hiding their wealth well.

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Why didn’t Charles Murray, in his obnoxious “do you live in a bubble” quiz, which is supposed to test your exposure to and familiarity with working-class White culture (yes, just White culture, though the PBS promoters of the quiz only mentioned that after people complained), ask about amusement parks, where White working class people spend their vacations mingling with — or at least in close proximity with — racial minorities?

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Including in the historically-fraught pool.

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Some may be merely standing shoulder-to-shoulder with people from different races. But I saw more interracial couples and families than I usually see in my diverse suburb.

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Are they just tolerating each other, or are they really getting along? Of course, I’m White and rich and blind to all sorts of things, but I’m not stupid. I have no doubt there were slights and insults and aggressions going on outside of my perception (though I was looking for them). But there were also the kind of casual moments of “us just getting along” that usually go unremarked, like when parents enjoy watching their kids having fun together.

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I’m not making an argument about the relative racism apparent across classes. I know your feed today is probably awash in racist stuff coming from all over the social spectrum. I’m more interested in what the social context does to interpersonal interaction. The park is very leveling, economically. The poorest people are obviously excluded, and the richest aren’t interested. And then most people buy tickets before they arrive, and it’s in a remote place, so there is no one visible who can’t get in, no obvious fast lane for rich people (even at the rides, unlike Disney). We all ride the same tram from the parking lot to the gate, so the car interaction is minimized. We go through the same giant line to enter, and then wait in the same lines to ride the same rides and eat the same food once inside.

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There are ways to spend more money conspicuously, buying extra crap, but there is less of that than I’ve seen at Disney or Universal Studios (have you priced a genuine Princess dress lately?). In short, it brings out what a lot of different Americans have in common: overpaying for entertainment, overeating greasy food, and alternately yelling at and loving on their children.

I’m reminded of two things. One is that there is less racial conflict and violence in the U.S. than there was in the past (dating the data trends here is obviously debatable). The level of racism — structurally and interpersonally — is still way too high, of course. But it partly stands out now because we have more casual, positive interaction, than we did in the past. Social movement scholars will tell you that periods of improving relations are ripe for upheaval and unrest, because expectations are raised and subordinate groups are empowered. Don’t draw from the level of conscious resistance we see now the conclusion that conditions are worse than ever, because that’s not how it works.

Two is that civility can be engineered. In 2002 my friend Jennifer Lee wrote of the “important untold story [of] the mostly quotidian nature of commercial life in neighborhoods like New York’s Harlem and West Philadelphia,” areas at the time experiencing racial tension erupting in occasional violence around the issue of ethnic turf and racism in retail spaces. This Civility in the City was partly the product of deliberate, conscious effort by store owners and employees to preserve it. The level of interpersonal conflict and expression of animosity is not determined by structural inequalities alone. That deep inequality remains the defining American problem of our time. I don’t know how the level of interpersonal conflict plays into our ability to confront and address that inequality — and I’m not saying we should settle for civility over equality — but I’m sure it’s somehow relevant.

* This is ethical and legal as long as I’m not trying to harm anyone – millions of people do it every day. If you happen to be in one of these pictures and want me to take them down I will happily oblige. Before you get mad about me using these pictures, close your eyes and think of all the pictures you’ve seen just this week of strangers who did not consent to have their pictures taken.

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Explain to me again how marriage is the problem here

This is one of those things you share with all your friends on social media.

how-marriage-is-the-problem-here

Black married parents are 2.4-times more likely to be in poverty, are 2.1-times more likely to be unemployed, and have one-ninth the median net worth compared with White married parents. So explain to me again how marriage is the problem here.

Why?

The other day I picked on someone’s fact meme, and wondered what makes these things work, without offering a constructive alternative. I can’t answer the question I asked in that post (how old are the fathers of teen mothers’ children?), but I can answer some other questions about families and Black-White inequality. So that’s what I did.

Feel free to take these facts (or any others) and make something better.

How?

Here are my sources:

Poverty: 2014 American Community Survey from IPUMS.org. It’s Black and White, non-Hispanic, householders who are married and have their own children in the household. The poverty rates were 5% for White married parents and 11.9% for Black married parents. The poverty variable goes from 0 to 501, with 0-99 being below the poverty line, so you specify the recode like this: poverty(r:0-99 “poor”; 100-501 “not poor”). Here’s how you fill out the boxes in the online analysis tool:

povacscode

Unemployment: Again, 2014 American Community Survey from IPUMS.org. It’s Black and White, non-Hispanic, householders who are married and have their own children in the household. For this one you limit it to people in the labor force (empstat(1-2)) to get the unemployment rate. I did it for men and women combined, getting unemployment rates of 3.1% for White married parents and 6.6% for Black married parents. The numbers are higher for women (3.7% versus 7.3%) but the Black/White ratio is a little worse for men (2.6% versus 5.8%). Here’s how:

unempacscode

Median net worth: I used the Survey of Consumer Finances from 2013, available here. These are also non-Hispanic Black and White parents living with children. The median net worths were $150,500 for Whites and $16,000 for Blacks (Hispanics, incidentally, have $18,750, and the rest are just coded “other”). This data set combines married people with those who are “living with partner,” so this comparison includes cohabitors. (I don’t know how that affects the results, but I’m sure there’s still lots of inequality.) I put my STATA code in an Open Science Framework project here, so feel free to play with it yourself.

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More on racist Trump supporters, and My 3Qs

It’s been hard for me to stay out of electoral politics debates lately (follow the elections tag if you’re having the same problem).

The latest is another piece with Sean McElwee in Salon. It again features my analysis of the ANES 2016 pilot survey, with Sean’s write-up, this time focusing on attitudes of White Trump supporters toward Blacks. The short answer is White Trump supporters stereotype Blacks more than other Republican or Democrat Whites, and people with self-described “cold” feelings toward Blacks are most likely to support Trump. The biggest difference was on answers to the question, “How well does the word ‘lazy’ describe most blacks?”

race figures.xlsx

This ANES data has lots of potential for addressing the pressing questions on a breaking-news basis. Whether it holds up (it’s an opt-in online survey) is yet to be seen, but I haven’t seen a reason to think it would be biased toward producing racist Trump supporters. So I think it’s worth doing. (I’ve also discovered that when you criticize Trump on a popular website like Salon, and have a Jewish name, you attract anti-Semitic Twitter.)

My 3 Qs

In other news, I did a short interview with Molly McNulty, the Council on Contemporary Families pubic affairs intern at Framingham State University.  It’s reprinted here from the CCF site on The Society Pages:

TSP readers likely appreciate Philip Cohen for his provocative blog, Family Inequality, which—based on a look at who retweets him—regularly has material valued by undergraduates, senior scholars, data nerds, policy wonks, and journalists alike. Cohen is a Council on Contemporary Families senior scholar and a professor of Sociology at the University of Maryland in College Park, Maryland. His research focuses on the sociology of families, social demography, and social inequality. His family textbook, The Family: Diversity, Inequality, and Social Change, was published in 2014. Cohen gave me these useful answers to my “3q”:

Q: First, a challenge: What’s one single thing you “know” with certainty, after years of research into modern families?

PC: Family inequality is remarkably resilient, but when it changes it does so under the influence of external forces. When women’s opportunities increase (or men’s decrease), when public investment in education increases, when the legal environment changes when technology permits reductions in household labor, when policies lighten (or compensate) the load of caring labor — that’s when inequality within families shifts. There is a dialectic here, and micro-level interactions within families matter, but these external forces are in the historical driver’s seat.

Q: Give us the “Twitter” version of your current research—in 140 characters (give or take), what are you working on now?

PC: This is what I’m working on today, in 140 characters: The culture wars over family politics always return to gender difference itself; it’s what’s at stake when left & right fight over families.

Q: How would you encourage a scholar of family life to work to get their research into public life, affecting policy and challenging assumptions about “average families”?

PC: The public loves to argue about families. There are lots of opportunities to get your work out there and make it relevant. Unlike some areas of sociological research, if you’re working on families, almost everything has a potential angle — in fact, one of the challenges is to not oversell the implications of our research. There is also a lot of translational work to do — interpreting and explaining new data and research as it comes out, helping people figure out what to make of the latest findings in the context of what we already know rather than participating in the whipsaw advice machine that thrives on contradicting conventional wisdom. I recommend that junior scholars get involved with the Council on Contemporary Families, which helps organize and transmit new research responsibly and effectively, and to look for opportunities to publish popular pieces in online venues that encourage well-reasoned and empirically-grounding discussion and debate.

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Trump supporters don’t like Muslims

Sean McElwee and I have a piece on Salon about the relationship between hating Muslims and supporting Donald Trump. The empirical facts are that people who support Trump hold nasty stereotypes about Muslims, and dislike them, more even than the average Republican.

Sean did most of the writing, and I produced two of the figures. I hope you’ll read it (and check out Sean on Twitter if you like funny leftism). The data, the ANES 2016 Pilot Study, which was collected in January, is available free (with registration) here.  I put my code for these figures here; feel free to use it if you’re interested in the data (lots of good potential there).

Here are the two figures. The first shows the responses to the question of how well the word “violent” describes “most Muslims.” The Trump supporters are in gray, all Republicans are red, and Democrats are Blue.* Trump supporters have by far the nastiest views:

muslim and hispanic figures.xlsx

The second is from models predicting whether respondents support Trump, identifies as Republican, or identifies as Democrat, as a function of their feelings toward Muslims. In the models, hating Muslims increases the odds of being a Trump supporter or Republican, and lowers the odds of being a Democrat. The slopes for Trump and Republican are significantly different, meaning the nasty relationship is strongest for Trump support.

muslim and hispanic figures.xlsx

Here is the conclusion:

The explanation of Trump’s success is simple: The latent racism, xenophobia and other powerful social forces fostered by the right for decades have simply been extended by Trump to their next logical extreme. As racial scholar Ian Haney-Lopezwrites,

“[George W.] Bush was careful to cabin his remarks in terms of extremists and ‘a perverted visions of Islam,’ but the global terms in which he framed his analysis belied such fine distinctions.”

That is, Bush’s language “was operating more in the register of a dog whistle, a way to advance a basically racial message while still maintaining plausible deniability.” Even today, Bush is seen as more moderate on issues related to Islamophobia. But the aggressive domestic surveillance policies he pursued, and the rhetoric of the last few years indicate Islamophobia was ripe on the right. Trump is just the most successful politician to date at picking the fruit.

* We restricted Trump supporters to those who identified as Republican or independent, since everyone was asked to pick their favorite Republican and we didn’t think Democrats were likely to really support Trump.

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The one big thing that might doom Trump in November

Race, obviously.

The other day I wondered what issues offered potential for the left-side party to raid the right-side for some voters. But that’s abstract compared to this actual election. This is my thought on what happens if it comes down to Trump and Clinton.

John Cassidy at the New Yorker runs through some speculation about how Trump could win a general election. It seems to boil down to bringing in enough White working-class voters to win Rustbelt states that Obama won like Michigan (Obama +9.5%), Pennsylvania (Obama +5.2%), and Ohio (Obama +1.9%). Setting aside his prospects among Whites, I’m very skeptical he can win those states (or some others) with basically no Black and very few Latino votes.

To show the depth of ill will between Trump and African Americans, here are the feeling thermometer distributions from the 2016 ANES Pilot Study, taken in late January. People were asked to rate candidates from 0 (very cold, unfavorable) to 100 (very warm, favorable).

Lots of people hate Trump, but no group hates him like African Americans (other variables, like age and education, perform as expected, but nothing is as strong). Obama got something more than 90% of Black vote in 2012. It’s hard to see even 10% of Black voters going for Trump. Especially given Hillary Clinton as an opponent. She might not inspire the same turnout as Obama, but she’s very popular among Black voters. Here are her thermometers:

That Black Clinton thermometer is a basically a mirror-image of the one for Trump. The poor feeling toward Clinton among Whites is obviously a problem, but I still think Blacks and Hispanics can sink Trump.

For what it’s worth, the racial feeling seems mutual. ANES also asked the feeling thermometer about Blacks. Here are the White feelings toward Blacks, adjusted for age, gender, and education level — according to their feelings toward Trump:

The linear trend, which is highly significant, is about one-eighth of a point down on Blacks for every point up on Trump. That’s America for you – even though Trump is mostly going after immigrants and Muslims in this election, racism is always also about the Black-White thing.

(Follow the elections tag for the series.)

Disclaimer: I’m not a political polling expert, this isn’t real research and it hasn’t been reviewed, and I could be completely wrong.f

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