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>>Behind every innovation
is an inspired scientist.
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And behind every PBS program
is a viewer like you!
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Get behind your PBS station.
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Your support makes a difference!
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>>Hello and welcome to
Scientific American Frontiers,
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I'm Alan Alda.
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we all like to think that we
understand our own minds.
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That we carefully weigh the pros and cons
when we make a decision.
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And that after we've made it,
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even if we have cause to regret it, we
know why we decided the way we did.
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Oh sure we know some choices
are more emotional than rational,
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but even then, we think
we're conscious
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of all the conflicting arguments that run
through our minds as we make a choice.
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Well, in this program we'll find out
how utterly deluded we are,
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as we join in experiments revealing just how
sneaky and underhanded our brains can be.
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[music]
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>>I've always thought
of myself as a feminist,
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so I'm pretty sure I know how I'll
do in this test of my reaction
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to women in the work place.
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I am ready to begin.
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Women, in fact like Mahzarin Banaji, who's
a professor here at Harvard University.
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The test is called the
"implicit association test"
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and it begins simply enough.
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I have to pair the word in the center,
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with one of the words above by
pressing the "e" key with my left hand
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or the "i" key with my right.
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Well, that could be either way.
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Mahzarin has told me to
do this as fast as I can
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because it's the time I take to make the
associations that's critical to the test.
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Now the target words have changed,
but the task remains the same;
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to quickly decide whether the
new words belong to the left or the right.
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But things are about
to get trickier.
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>>It's the same thing except now any
one of these four will show up,
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and when it's "career" or "male"
you'll press the left key,
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when it's "family" or "female" you'll
press the right key.
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>>"Career" or "male"
>>Yes.
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>>So now the categories are
described by two words,
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making it harder to decide
where the new words belong.
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But since historically, "male" and
"career" have gone together....
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This is like, reinforcing this stereotype.
>>Yeah, that's it exactly.
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>>The point of the test is to discover
if lurking beneath my feminist convictions,
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I actually harbor a hidden bias
against women in the work place
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based on all the associations between
"man" and "career" and "women" and "family"
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that bathed the culture
I grew up in.
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"Family or "male", "career" or "female".
Okay, now you're testing me.
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The implicit association test
is designed to ferret out any bias
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by seeing if it takes me fractionally longer
to figure out where a word belongs
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when the pairing of the target words, in
this case: "family" and "male" together
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and "career" and "female", is slightly
more difficult for my brain to except.
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Corporation - "family"
or...[breaks off in laughter]
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"brother", "management"...
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and we're done.
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>>Slight. I could tell he has a slight.
This is very good.
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You are...so let's see,
you're showing a slight,
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automatic association
between male and career,
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and the...only 12% of the
population that takes this test
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shows this bias. What you're
seeing is that you're,
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you're showing a much smaller bias
then what many other people show.
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I'm up here. I make a strong
association between
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"male" and "career" and "female" and
"family" even though that's not what I
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consciously express.
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>>Even though that's
not what you live, huh?
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>>And that's not what I live,
but in my world.
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And I don't know, I'd be
interested to know. Maybe
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many years of working in feminist
causes made you show this lesson.
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>>So all those years of working
in feminist causes
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didn't manage to totally eliminate my lingering
association between "female" and "family"
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and "male" and "career".
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What's astonishing though is that
Mahzarin is far worse,
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and she's not only enjoying
a very successful career-
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she designed the test!
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Another of its designers
is Brian Nosek,
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who personally developed
the test he's taking now,
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intending to reveal hidden
racial prejudice.
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>>These are the same faces
you've seen many, many times.
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>>Many times, many times. In fact I helped
create the faces, so...
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>>The heart of this test is to see whether
it's easier for Brian to match words
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or pictures to the pairing
of African American with bad,
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and European American with good.
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Then when the pairings
are reversed,
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European Americans with bad and
African Americans with good.
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[quiet]
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>>I can predict.
>>Yeah [chuckle]
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What do you think?
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>>Moderate. Moderate to strong.
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>>Yeah, I'll say moderate as well.
>>Yeah.
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>>Strong preference for white.
[exclamation of laughter]
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>>You've taken this
for the umpteenth time,
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and you still haven't caught on
to the fact that you're a little biased?
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[laughter]
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>>I think part of that is the insistence
that my conscious beliefs still matter.
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It isn't that-- that fact that I
keep showing these implicit biases
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mean that I'm a biased person so
I should just accept that and move on,
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it's that-- no, I don't agree with
those, I do have them
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and I will admit to having
those implicit biases
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but I'm not going to let that rule
what I would consciously want to have.
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>>It really is remarkable that here I am
in Cambridge, Massachusetts--
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perhaps the liberal
capitol of the country--
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with two academics who pride themselves
on their enlightened attitudes,
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only to discover that they
have latent within in them
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biases they would fervently deny
if their own test hadn't revealed them.
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But all may not be lost.
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>>We found in research, and
also in testing of myself,
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that if I put myself in a situation where
I think about positive black exemplars--
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I think about Michael Jordan
and Colin Powell and people...
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Martin Luther King who have had a very positive
impact and who are also African American,
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I show much less bias immediately
after thinking about those exemplars
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then if I hadn't thought
about them before.
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>>Even simple things, like the presence
of an African American experimenter,
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reduces race bias. That the presence
of a competent woman,
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makes women's attitudes to math
become more positive.
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Those kinds of studies
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sit, I think, in contradiction the ways
in which people like I thought about this-
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we thought they were learned
over long periods of time,
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that they were entrenched,
they were rigid, inflexible--
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and that does not appear
to be the case,
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and I think that that's where
the room for optimism is.
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On the one hand, I would like people
to take these data seriously
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when we can show the vast numbers
of people who show the bias,
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I think we need to contend with that.
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On the other hand, what this work
is showing is that it might be
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not that hard to shape environments
that can change these,
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even automatic kinds of attitudes.
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>>You can find out if you harbor unconscious
biases you would deny even to yourself,
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by logging on to the
Project Implicit website.
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There you'll find tests of attitudes towards
such things as age and religion,
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as well as lighter fair like the Harry
Potter movies versus Lord of The Rings.
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Give it a try. You may be in for a shock.