prejudice/discrimination

Jennifer Pozner, Kat Lazo, Zerlina Maxwell, and Samhita Mukhopadhyay join Jay Smooth to discuss a few no-nos for the media this campaign season. Pozner sums it up:

Look, this matters. By focusing on personal, gendered, irrelevant details about women politicians, this conditions the American public to think that woman are ladies first [and] leaders only a distant second. Media play a serious role in keeping half the population out of the political talent pool.

Enjoy:

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

A Gallup poll of a random sample of Americans conducted in May finds that, for the first time, a majority of Republicans report that they believe that gay and lesbian relations are “morally acceptable.” This is your image of the week:

And this, showing that a plurality of Republicans — meaning more than not — think sexual orientation is inborn, not chosen or learned:

Now, to be fair, Gallup specifies a sampling error of ±4 percentage points. So, they’re 95% confident that at least 47% of Republicans now approve of gayness, but also as many as 55%. Also, I don’t know what “gay and lesbian relations” means — sexual relations? relationships? — and neither do the pollsters or the respondents, as far as I know, which is some interesting slippery question asking. Still, that’s the data. Here’s some skepticism, just in case you’ve got an eyebrow raised.

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

We’ve highlighted the really interesting research coming out of the dating site OK Cupid before. It’s great stuff and worth exploring:

• Common lies in online profiles
• Evidence that we care waaaaaaay too much about looks
• Sex, desirability, and age: what they say and what they do
• Only 20% of self-identified bisexuals message both men and women
• Does similarity really translate into compatibility?
• How useful is the concept of sexual orientation?
• Word clouds by race and gender reveal most commonly mentioned ideas

All of those posts offer neat lessons about research methods, too. And so does the video below of co-founder Christian Rudder talking about how they’ve collected and used the data. It might be fun to show in research methods classes because it raises some interesting questions like: What are different kinds of social science data? How can/should we manipulate respondents to get it? What does it look like? How can it be used to answer questions? Or, how can we understand the important difference between having the data and doing an interpretation of it? That is, the data-don’t-speak-for-themselves issue.

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

On average, white and black Americans have different ideas as to what’s behind the recent unrest in Ferguson and Baltimore. A Wall Street Journal/NBC poll of 508 adults found that nearly two-thirds of African Americans felt that the unrest reflected “long-standing frustrations about police mistreatment of African Americans,” compared to less than one-third of whites.

In contrast, among whites, 58% believed that African Americans were just looking for an “excuse to engage in looting and violence.” A quarter of black respondents thought the same.

Though they may see it differently, almost everyone expects the uprising to reach more cities over the summer.

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

New data collected for the Shriver Report offers a telling insight into modern marriage. They asked 818 men representative of the adult U.S. population to choose three “qualities that [they] most want” in a daughter from a set of 10. Offering the same list, they asked which qualities they wanted in a wife or female partner. Intelligence topped both lists but, from there, responses diverged.

This is your image of the week:

Men were pretty consistent in what they wanted for their daughters. A majority said intelligence (81%) and two thirds (66%) said independence. Almost half (48%) said they wanted their daughters to be strong.

But, as a group, they were significantly more ambivalent about what they wanted from wives. Some wanted intelligence, independence, and strength, but many fewer wanted that in wives compared to daughters: 34% said they wanted independent wives and 28% said they wanted strong ones. Compared to what they wanted for daughters, they were much more likely to say they wanted attractiveness (45% vs. 11%), sweetness (34% vs. 19%), nurturing (27% vs. 18%), and homemaking (14% vs. 5%) from wives.

This is fascinating data. It looks like the majority of men want strong, successful, independent daughters, but there is still a significant number who hope for wives who are willing to put their husbands before themselves.

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

Flashback Friday.

Adolf Hitler targeted the Jews in the Holocaust not simply out of hate, but for strategic reasons. Describing his plan to take over Germany, and then Europe, he wrote:

I scanned the revolutionary events of history and… [asked] myself: against which racial element in Germany can I unleash my propaganda of hate with the greatest prospects of success? …I came to the conclusion that a campaign against the Jews would be as popular as it would be successful.

Jews, Hitler figured, were already well hated and, thus, would lend themselves to demonization quite easily.

Once it was decided that the Jews would be targeted, wrote Ronald Berger writes in his essay The “Banality of Evil” Reframed:

the most immediate difficulty that confronted the Nazis was the construction of a legal definition of the target population.

Who was Jewish?

At first, the Nazis defined Jews as non-Aryan. But this became problematic because nations with whom Germany wanted to ally (e.g., Japan) were arguably non-Aryan.

So, the regime settled on a definition that linked non-Aryan-ness to religion. Both racial and religious characteristics could qualify one as “Jewish.”

Like the rules of hypodescent that separated black from white in the U.S. during and after slavery, the Nazis had rules as to what percentage of Jewish blood one needed to have to be truly Jewish. Berger explains that a Jew was defined as a person who was 3/4ths Jewish or more. The term mischling worked like the U.S. word mulatto to identify a person with mixed blood (in this case, someone who was 1/2 Jewish and also was married to a Jew or practiced Judaism).

The next step was measurement. In confusing cases, how could the Nazi’s prove that someone was Jewish or mischling? They developed instruments. These photographs (mine) are from a museum in Munich that has collected some of the instruments used to place a person on the Aryan/non-Aryan spectrum.

An instrument for measuring facial features:

Instruments for measuring skin, eye, and hair color:

This is just one more example of the way in which racial categories are constantly being invented and reinvented, usually for reasons related to power. For others, see our recent post on the deracialization of Irish dance, the shifting meanings of Creole, and the way Census data collection changed race in an instant.

Originally posted in 2009.

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

African Americans are less healthy than their white counterparts. There are lots of causes for this: food deserts, lack of access to healthcare, an absence of recreational opportunities in low income neighborhoods, and more. Arguably, these are indirect effects of racist individuals and institutions, leading to the disinvestment in predominantly black neighborhoods and the economic disempowerment of black people.

This post, though, is about a direct relationship between racism and health mediated by stress. Experiencing discrimination has been shown to have both acute and long-term effects on the body. Being discriminated against changes the biometrics that indicate stress and personal reports of stress (anxiety, depression, and anger). Bad health outcomes are the result.

A new study, published in PLOS One, adds another layer to the accumulating evidence. To get a strong measure of “area racism” — the prevalence of racist beliefs in a specific geographic area — epidemiologist David Chae and his colleagues counted how often internet users searched for the “n-word” on Google (ending in -er or -ers, but not -a or -as). This, they argued, is a good measure of the likelihood that an African American will experience discrimination. Here are their findings for area racism:

They then measured the rate at which black people over 25 in those areas die and the death rate from the four most common causes of death for that population: heart disease, cancer, stroke, and diabetes. They also included a series of control variables to attempt to isolate the predictive power of area racism.

The resulting data offer support for the idea that area racism increases mortality among African Americans. Chae and his colleagues summarize, saying that areas in which Google searches for the n-word are one standard deviation above the mean have an 8.2% increase in mortality among Blacks. The searches were related, also, to an increase in the rates of cancer, heart disease, and stroke. “This,” they explain, “amounts to over 30,000 [early] deaths among Blacks annually nationwide.”

When they controlled for area level demographics and socioeconomic variables, the magnitude of the effect dropped from 8.2% to 5.7%. But these factors, they argued, “are also influenced by racial prejudice and discrimination and therefore could be on the causal pathway.” In other words, it’s not NOT racism that’s making up that 2.5% difference.

Directly and indirectly, racism kills.

H/t to Philip Cohen for the link. Cross-posted at Pacific Standard.

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.

Thanks to Stuff Mom Never Told You for this fantastic satire!

Thanks to Meredith E. for the tip!

Lisa Wade, PhD is an Associate Professor at Tulane University. She is the author of American Hookup, a book about college sexual culture; a textbook about gender; and a forthcoming introductory text: Terrible Magnificent Sociology. You can follow her on Twitter and Instagram.