We’re All a Little Biased, Even if We Don’t Know It

The NY Times has a good article that addresses a recent event in the Vice Presidential Debate. When Tim Kaine raised the issue of implicit bias in institutional racism, Mike Pence took serious offense to it as a condemnation of law enforcement officers.

Many people hear “implicit bias” as academic jargon for “racist.” But the reality is more complicated.

The issue of implicit bias is that all of us, law enforcement and non-law enforcement, white and black, absorb notions of racial power structures from the dominant culture and, without awareness, our behavior is affected by it.

To broach implicit bias isn’t to impugn someone’s values; it’s to recognize that our values compete on an unconscious level with all the stereotypes we absorb from the world around us. And even black police officers aren’t immune to internalizing them.

That’s why it’s implicit (non conscious) and not explicit (consciously aware) bias. The concept has been soundly demonstrated in psychological research.

 implicit bias is just one of many psychological processes that shape how we interact with one another. We also tend to be better at remembering the faces of people in our own racial group, or to subconsciously favor people in our group.

This is one reason that when I grade written assignments, I always do it anonymously. I cannot trust that I do not have implicit biases on the basis of age, gender, race, etc. If I might (non-consciously) believe that a particular group might perform worse on an assignment, I need to guard against letting that influence affect the grade I assign a student. That is the benefit of learning about implicit bias: knowing that we are subject to influences outside our awareness and making every effort to guard against them.

Source: We’re All a Little Biased, Even if We Don’t Know It

Weight stigma negatively impacts mental and physical health

We talked about weight stigma in General Psychology a week or so ago. A good article in the NY Times illustrates the depth of the problem. A new study by a social psychology graduate student, Jeffrey Hunger, at UC Santa Barbara finds:

those who were overweight or obese were more likely to report problems like depression, anxiety, substance abuse and low self-esteem if they had experienced weight-based discrimination in the past.

It also includes a quote from a professor of popular culture, Courtney Bailey:

fat stigma intensified after 9/11, when Americans’ sense of vulnerability translated into increased animosity toward the fat body

This echoes some research we did in Mark Shcaller’s lab at UBC where it was found that perceived vulnerability to disease was correlated with anti-fat prejudice.

Link to the article: Is Fat Stigma Making Us Miserable? – The New York Times.

Jennifer Eberhardt on her research and its implications for police violence against blacks

The NY Times has a good interview with social psychologist Jennifer Eberhardt on her research and how it illustrates some underlying principles that might have been at work in the recent cases of excessive police violence directed at African Americans. The take-home message is that only through awareness of our unconscious biases can we hope to overcome the tendency to treat groups differently.

One thing I do is work with police departments. We do workshops where we present these studies and show what implicit bias is, and how it’s different from old-fashioned racism. I don’t think this alone can change behavior. But it can help people become aware of the unconscious ways race operates. If you combine that with other things, there is hope.

Link to the NY Times article: A MacArthur Grant Winner Tries to Unearth Biases to Aid Criminal Justice – NYTimes.com.

Getting involved in research as an undergrad

SPSP (Society for Personality and Social Psychology) published a brief primer on getting involved in research as an undergraduate. It’s worth checking out:

Link to the article at SPSP.org.

Fast food and impatience

In Social Psychology last semester, we read a paper by Zhong & DaVoe* that showed a causal relationship between exposure to fast food logos (as opposed to local sit-down restaurant logos) and impatience through a number of measures. Today Sanford DaVoe published an interesting Op-Ed in the NY Times where he reviews some archival and survey data analysis that shows this effect might be present not only in the lab but in the “real” world, and may affect our well-being. He concludes:

our research highlights the need to think more explicitly about the subtle cues in our everyday living environment. Put differently, one important step you can take to nudge yourself toward being more patient would be to live in a neighborhood that doesn’t constantly bombard you with reminders of instant gratification.

I have a bit of a problem with that last sentence. While some of us have such choices through the benefits of structural inequalities, many do not. As we covered in Stereotyping and Prejudice this semester, the choice of where we live is largely determined by socioeconomic factors including race and its correlate, income.

In addition, television is the major force bombarding us with these reminders; that crosses neighborhood boundaries. Thus, I would call for restrictions or bans on public advertisements for fast food. However, such a public health initiative might not go over well with the more conservative parts of our legislative bodies. Remember that conservativism is correlated with individualism and Protestant Work Ethic which would imply that it is not the environment but rather the individual weaknesses of people who are susceptible to such advertisements.

Round and around, that’s the way things go. — Lucy Kaplansky

Link to “Big Mac, Thin Wallet”, the Op-Ed in the NY Times

* Reference: Zhong, C., & DeVoe, S. E. (2010). You are how you eat: Fast food and impatience.Psychological Science, 21 (5), 619–622. Available here, or here as a PDF.

Personalizing Mental Illness

In Stereotyping and Prejudice, we just finished studying stigma, and mental illness is heavily stigmatized. A recent article in the NY Times is about a project to use oral history to help personalize the experience of mental illness. As we studied, the more you can provide individuating information, the more stereotypes can be weakened in person perception.

One thing I learned was that as soon as you mentioned the word, people stopped seeing the person. They just saw the diagnosis and a collection of symptoms.

Link to the article in the NY Times Well blog.

Business, the Internet, and Discrimination

It appears that some online merchants are committing a form of organizational discrimination through their pricing practices. People in lower-income areas are paying more for products than those in higher-income areas. As we know, neighborhood, income, and race are correlated, and so African Americans, Latinos, and other minorities could be generally paying more (along with their low-wage white counterparts). This remains to be investigated.

The pricing scheme was investigated recently by the Wall Street Journal along with researcher Ashkan Soltani. See the article here.

Some quotes:

A Wall Street Journal investigation found that the Staples Inc. website displays different prices to people after estimating their locations.

The Journal identified several companies, including Staples, Discover Financial Services, Rosetta Stone Inc. and Home Depot Inc., that were consistently adjusting prices

The Journal tested to see whether price was tied to different characteristics including population, local income, proximity to a Staples store, race and other demographic factors. Statistically speaking, by far the strongest correlation involved the distance to a rival’s store from the center of a ZIP Code. That single factor appeared to explain upward of 90% of the pricing pattern.

In the Journal’s examination of Staples’ online pricing, the weighted average income among ZIP Codes that mostly received discount prices was roughly $59,900, based on Internal Revenue Service data. ZIP Codes that saw generally high prices had a lower weighted average income, $48,700.

On the methodology:

The differences found on the Staples website presented a complex pricing scheme. The Journal simulated visits to Staples.com from all of the more than 42,000 U.S. ZIP Codes, testing the price of a Swingline stapler 20 times in each. In addition, the Journal tested more than 1,000 different products in 10 selected ZIP Codes, 10 times in each location.

The Journal saw as many as three different prices for individual items. How frequently a simulated visitor saw low and high prices appeared to be tied to the person’s ZIP Code. Testing suggested that Staples tries to deduce people’s ZIP Codes by looking at their computer’s IP address. This can be accurate, but isn’t foolproof.