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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How the left can win the general election

Of course, I have no idea how anyone can win any election, but that’s what this post is about anyway, and no one ever got clicks by admitting they aren’t sure. This is just a little election nervous energy, dedicated to David Brooks, who says “data driven” campaigns have been a fiasco. (Follow this series at the elections tag.)

With all this talk of political realignment, and the impending fracturing of the Republican Party, I was wondering how the parties might shake out if something serious really did happen. I struck me that the GOP establishment is really upset right now because the beast they have been cultivating (the racist, xenophobic, sexist, anti-gay, anti-science beast) is suddenly turning on them in way that threatens the things that really matter: keeping taxes and regulation from impeding their accumulation of wealth. As if what they really want is their mass of gullible voters back from Trump.

Anyway, I looked at the American National Election Studies 2016 pilot data, which asked 1,200 people a lot of attitude questions, as well as how they feel about the candidates. My question was, how are left and right divided now, and what might happen if things broke differently.

Breaking away

The results are all in the figures below. To make these I used Stata’s cluster kmeans command, which breaks a sample into the number of clusters you specify according to the distribution of means on the variables you list. Using math. This is nice for politics because it forces each person to choose a cluster, just like voting for a party. I used the feelings and issues you see in the top part of the figure to create the clusters, and then checked to see how the members of each cluster feel about the candidates. I ignored voter demographics, just taking into account their opinions. I used Excel’s conditional formatting to color-code from green to red (but check the coding because left and right don’t run the same way for each question — note if the item is “oppose” on a scale of 1-7, then 3 or less is “favor”).

The first figure is a two-cluster scheme. Every potential voter has to pick a party. In the two-party scheme a few major differences stand out. The left feels much better about scientists, gays and lesbians, and feminists. They are more interested in action on climate change, paid leave, equal pay for women, and big government generally. They favor affirmative action at universities and raising the minimum wage. They think legal immigration is good. Issues that don’t divide left and right so much are feelings about the police, free trade, and crime. The death penalty is not huge. The left’s favorite person is Sanders, but they like Clinton, too. They hate Trump. Here’s the first figure (click to enlarge):

The left here is only 45% of potential voters, so come November they need to raid the right somewhere – but where? To answer that I specified four clusters instead of two. This gives the left and right two center categories to fight over. Now the two left parties together sum to 45%, so for the left to win, I figure they need to find issues they can use to pull people away from the right, so I’m especially looking for big differences between the right and center-right. The good news for the left here is that the right is only 22%, so there is a lot of potential for poaching the center-right. In this figure, I highlighted a few key left-right divisions arbitrarily. Here’s the figure, with my comment below (click to enlarge):

Fortunately for the left, the right is blinded by their hatred of gays and lesbians and feminists. The center-right is much more tolerant, especially of gays and lesbians. So that seems like a good wedge. I say “tolerant” because the center-left isn’t really crazy about gays and lesbians or feminists, so going all the way to awesome in that area might be a turnoff to them.

The other good ones for the left are equal pay for women and legal immigration. The right hates them but everyone else is positive. Science is also good for the left, as the right doesn’t like scientists much, and the center-right is very into vaccination.

On the other hand, the center-right is very pro-police, so that may not be a winner for the left. The anti-police right isn’t coming all the way over, so it doesn’t help that they’re not pro-police. Also, affirmative action and the minimum wage aren’t good for pulling out the center-right. In general, the Chamber of Commerce type issues — climate change action, free trade, and big government, don’t help the left split the right much.

One caution is that the center left doesn’t like Clinton much — no better than they like Rubio, in fact. They are more positive about Sanders.

Obviously, how to work this into a campaign — with all the other issues that entails — is way beyond me. That’s why this is free.

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Tell me why it’s not racist to oppose Black Oscar categories

cr

Good comedy is like sociology only better. Today’s edition: Race and gender.

In Chris Rock’s monologue at the Oscars, he said this:

Hey, if you want Black nominees every year, you need to just have Black categories. That’s what you need. You need to have Black categories.

You already do it with men and women. Think about it: There’s no real reason for there to be a man and a woman category in acting.

C’mon. There’s no reason. It’s not track and field.

You don’t have to separate ’em. You know, Robert De Niro’s never said, “I better slow this acting down, so Meryl Streep can catch up.”

No, not at all, man. If you want Black people every year at the Oscars, just have Black categories. Like Best Black Friend.

If you say, “Where does it end?”, then tell me why you don’t oppose the gender categories. Tell me why it’s not racist to leave the acting gender categories unquestioned but oppose race categories. Not making that argument, of course, just asking the question.

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Looks like racist Southern Whites like Trump

We’ve been given lots of reasons people support Trump, like authoritarian attitudes and “the legitimate anger that many Americans feel about the course that the country has taken.” But it’s also racism, I’m pretty sure. Or at least racists.

It’s hard to measure racism – or even define exactly what we mean by racism. One way to approach it is racial salience, which is closely related to racism, and we can measure that with the proportion of the local population that is Black. (I reviewed a bunch of this research here.)

It’s also usually hard to get measures of just White behavior, which makes a Southern Republican primary perfect — they’re basically all White. This is also good because we’re trying to figure out what’s driving the Trump thing. In South Carolina, it looks like it was driven by the presence of Blacks and people born in South Carolina, and less urban populations.

In counties with less than 40% of the population born out of South Carolina — 33 of the 46 countries — there is a strong positive relationship between Trump vote share and population proportion Black. Here is the plot, with the high local-born counties in red:

Those red dots are the classic percent-Black racism pattern. Whites are more racist where there are more Blacks. Interesting in the case of Trump, because most of his overt racism is directed at immigrants and Muslims. But the regular anti-Black racists have been very apparent in his crowds, and in his endorsements.

I looked at the out-of-state share because of the outliers. That’s Horry County in the top left (site of Myrtle Beach) and Richland County at the bottom right (site of Columbia), two places with less of an old-school (i.e., rural slave plantation) feel. The rural thing is important, too, as larger counties voted less for Trump.

I’d love to see someone do this for the Super Tuesday states. The other variables you could use would be slave populations in 1850, or post-bellum lynchings.

Here it is in regression terms, with the 46 counties (ask me for the data and code):

trump-sc-black-gop-reg

Objection addendum:

This is just a descriptive analysis. And I probably only presented it because it fits so well with my prior assumptions – so that’s good or bad on my part, I guess. That said, I did it and posted it so I own it.

Someone on Facebook objected that I am obscuring the positive slope in the high out-of-state counties. In fact, if you exclude Horry County, you see a positive slope in those counties as well. As you would if you included all the counties together. That black line is not good because it’s so skewed by the outlier. However, the regression didn’t use the categorical breakdown of out-of-state population. There you can see the positive effect of proportion Black in all counties, but at high levels of out-of-state the model says proportion Black would turn negative – which is because of the Horry County outlier.

In fact, if you just drop Horry County, the interaction and out-of-state effects are no longer significant, it’s just proportion Black and population size! So, you could rephrase the conclusion as: more Trump votes where there is more Black population, and in smaller-population counties, and ignore the out-of-state thing. But I don’t know enough about South Carolina to know whether it’s justifiable to exclude Horry County that way. It’s one of the most populous counties (6% of the total).

Here is the chart with all the counties, dropping the out-of-state distinction. Still a nice positive relationship and a good racism story, but weaker:

trump-sc-black-gop2

And just to show how extreme the effect of the outlier is, here are just the high out-of-state counties, with and without Horry:

horry

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The vast majority of small campaign donors

In a February debate, Hillary Clinton said,  “I’m very proud of the fact that we have more than 750,000 donors, and the vast majority of them are giving small contributions.” This bugged me, because it’s misleading, like saying we don’t have a lot of inequality because only a tiny percentage of our people are filthy rich. But the opposite of that. You know what I mean.

I illustrate this with some data.

Please take this just as an illustration, not a definitive contribution analysis. I got the campaign contributor data for Hillary Clinton and Bernie Sanders from the Federal Election Commission. I’m sure it’s all much more complicated than I understand, but this is a simple description. The files include individual donations, along with some details about each donor. From what I understand, the maximum personal contribution is $2700, and the minimum reporting requirement is $200. These files have people who gave less than $200 and more than $2700, but I deleted them since they’re not comprehensive. (First I combined the multiple contributions from single individuals.) This means I’m missing a huge amount of contributions, especially to Bernie, who is reported to have raised 72% of his money from people giving $200 or less (compared with 16% for Hillary), as of January. And of course this ignores the whole PAC issue, which is also huge. Even with those two factors hugely biased against what I’m showing, the distribution point here is obvious.

Here is the distribution of donors according to how much they gave. From this, Hillary can say most of her donors are small (though not nearly as much as Bernie’s). Click to enlarge:

Here is the distribution of contributions, according to how much the people who make them gave. From this Hillary must admit that the vast majority of her contributions come from people who gave the maximum allowed. Here Bernie’s small donors still manage to give 31%, even though they’re up against people giving 10-times as much.

Here’s the rundown of mean, median mode, for donations within this range:

Hillary: mean: $1355; median: $1000, mode: $2700

Bernie: mean: $535, median: $350, mode: $250

I prefer actual honesty, not literal honesty.

Anyway, while I’m in there, I may as well tabulate the most common occupations listed for donors to each candidate (again, in the $200-$2700 range only). These are the 25 most common for each, with the frequency. I combined a few obvious ones (like programmer and computer programmer), but otherwise didn’t do much to clean this up. I set the titles in italics when an occupation appears on one list but not the other. Click to enlarge:

Others do lots more with this stuff, obviously.

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