What You See Isn’t Always What May Be: Confirmation Bias

RaskoffBy Sally Raskoff

Confirmation
bias
is a fascinating dynamic. What we see may not be what we judge it to
be. What we think we are seeing may just be what we expect it to be.

A new study by sociologists Aliya
Saperstein and Andrew M. Penner
highlights how social status cues, mixed
with gender, may change judgments and perceptions about racial group
membership.

The study finds that classification of racial identity
changes based on social status cues and is mediated by gender. For example, a
woman who went on welfare and a man who served prison time were less likely to
be identified as white. Gender isn’t always a factor; people who appear to be
poor are also less likely to be identified as white.

When we see people who fit into our society’s cultural
stereotypes about ”types” of people, we may then perceive their race to be
something different than others might perceive, and different from the racial
category with which the very person self-identifies.

Confirmation bias works in insidious ways as it silently
confirms the stereotypes (or biases) that surround us. Wealthy, educated, and
successful people are assumed to be white while poor, uneducated, and deviant
people are assumed to not be white.

One of the
fascinating aspects of the recent study is its ability to illustrate how these
are simple perceptions that people make, based on the information they have
about the person. The racial identification of the observers varied over time
based on what life events occurred for the subject. No matter how the person as
first identified – or how the individual identified themselves – later
identifications varied based on those social status cues and resonate with
societal stereotypes.Walter_Francis_White

In sociology classes, we often show a series of images of
people and ask the class to identify the racial category of those people. Among
the many purposes of this activity is to help students realize that one cannot
identify race based on appearance – and that race is a social construct, not a
physiological one.

A favorite image that I use is that of Walter White. (Not
the character from the TV show Breaking Bad.) Most students do not know who he is and the photo shows a
well-dressed man with a fair complexion and light hair. Most students identify
him as white. (See image at right.)

He, of course, was not “white” but was of mixed ancestry and
identified as “negro.” He had an accomplished career, including important work
for desegregation and civil rights.

What happens when we encounter people or images that do not
mesh with societal stereotypes? They are hard to believe, we might explain them
as the exception to the rule, or we might not even recognize what we see.

Marilyn-reads-joyce-e1352357312199My favorite example of this is the photo of Marilyn Monroe
reading a copy of James Joyce’ Ulysses.
Marilyn Monroe, often
used as the icon of femininity, reading a book, and a difficult one at that?
Most people who see this photo assume that it is a staged or posed photo, that
she just picked it up and was trying to figure it out, or they don’t notice the
book or care what book it is.

What do you see when you think of doctors, astronauts,
engineers, and professors? How about nurses, administrative assistants,
teachers, and sex workers? Are those images gendered and perhaps even “raced”?
Do you think of mostly white men inhabiting the first list and women, white or
non-white, for the second list?

The concept of confirmation bias links well with tools such as
the Implicit Association
Test (IAT)
; you can take a demo of the test yourself. The IAT and Harvard’s
Project Implicit, can be used to identify how deeply our societal biases run.
What other kinds confirmation do you think people commonly hold?

One thought on “What You See Isn’t Always What May Be: Confirmation Bias

  1. Katie Flemming's avatar Katie Flemming

    My understanding of the confirmation bias is that people test hypotheses by looking for information that support it, rather than information that contradicts it. I feel as though you don’t really apply this to the research. Can you elaborate on how the two are connected?

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