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Paul Bloom: The Psychology of Everything

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    Hi, I am Paul Bloom and I’m a Professor
    of Psychology at Yale University.
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    And what I want to do today is talk about the field psychology, the science
    of the human mind.
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    Now, I’m admittedly biased, but I think
    psychology is the most interesting of all
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    fields.
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    It’s the most interesting because it’s
    about us.
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    It’s about the most important and intimate
    aspects of our lives.
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    It's about language and
    perception. It's about our memory of things, it's about our dreams
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    Love, hate. It's about morality our sense of right and wrong.
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    It's about when things go wrong, as in depression or anxiety,
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    it's about happiness.
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    It's about everything that matters to us.
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    Psychology is a huge field and it breaks up into different sub fields.
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    Some psychologists study the brain, they study neuroscience,.
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    The question of how this physical lump of flesh we have
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    gives rise to our mental life.
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    Others, like me, are Developmental Psychologists.
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    We study how babies turn into children and how children turn into adults.
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    How does a baby or child think differently than an adult.
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    How much of it is hardwired?
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    How much of it do we have to learn?
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    Some psychologists study Social Psychology.
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    Which concerns the relationship of people to other people.
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    As with regard to question like prejudice or persuasion.
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    Others are Cognitive Psychologists.
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    Cognitive psychologist treats the brain like a complicated computer.
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    And asks questions like how do we solve computation problems
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    like understanding language or recognizing faces or remembering facts.
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    Some Psychologists approach this from an evolutionary perspective
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    Looking at the question of how the mind evolved.
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    and how the origin, the evolutionary origins of the mind
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    give us insight into how we think in the here and now.
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    Many people when they think of psychology they think of clinical psychology
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    they think of Dr. Phil and Freud and
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    people who are involved with mental illness.
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    and alot of psychologists do study this.
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    One huge and important field of psychology involves exploring the
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    diagnosis and the causes
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    and particularly the treatments mental illnesses.
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    Illnesses like schizophrenia, depression,
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    obsessive compulsive disorders, phobias.
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    and so many other things.
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    I'm going to talk about 3 separate case studies.
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    I'm going to talk about compassion.
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    racism, and sex.
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    And I'm going to use these case studies as a way
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    to introduce you to psychology.
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    The first case study is compassion.
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    what I mean by compassion
    is concern for other people.
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    This is particularly interesting to me.
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    This is my own research program and my own
    laboratory at Yale; we look at the emergence
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    of morality in babies and young children.
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    And we particularly focus on the emergence
    of compassion.
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    At what point in development do babies care
    about others?
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    At what point in development does feelings
    of empathy and sympathy, sometimes anger,
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    guilt, other moral emotions.
    How do they arise?
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    To what extent are they built in?
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    To what extent do they have to be learned?
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    As a starting point, I have here a picture
    of a baby
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    and inside the baby’s head is
    the baby’s brain.
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    The baby’s brain is an extraordinary computing
    machine.
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    There are by some estimates
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    100 billion neurons in a babies brain.
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    Now neurons are basic cells
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    that process and transmit information.
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    And by one estimate, there’s about 1.8 million
    connections between neurons that are created
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    per second.
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    To give you a feeling of the complexity of
    the baby’s brain, I use an analogy from
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    Jeff Hawkins.
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    Imagine a football stadium.
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    Fill it up with cooked spaghetti, then shrink
    it to the size of a soccer ball.
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    Then make it much, much, much denser.
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    And then you’ll have some understanding
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    of how much is going on inside a brain,
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    inside even a babies brain.
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    Now, that much we know for sure,
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    but where the real debate goes on
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    concerns the nature
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    of that computational structure.
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    There’s one of view that is held by many
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    philosophers and many psychologists which is that the
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    brain starts off as a blank slate, what the
    philosopher, John Locke, called “a Tabula
    Rasa.”
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    And what goes on in development, the point
    of all those connections per second is learning,
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    is sucking up information from the environment.
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    The baby starts off knowing nothing and turns
    into an adult, by virtue of absorbing information
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    at a tremendously powerful rate.
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    Many philosophers and many psychologists,
    including me and my colleagues are more enamored
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    of another view.
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    We don’t deny that learning takes place,
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    but we would argue that in addition to that,
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    there is an extraordinary early understanding,
    early specialization.
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    The brain could better be understood in terms
    of what the psychologists, Leda Cosmides and
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    John Tooby, described as a Swiss Army knife,
    has many different parts.
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    And each part is specialized for a different
    function.
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    Now, so much of the action in psychology has
    been a running debate over which view is right.
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    And this concerns morality.
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    Both moral judgements
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    right and wrong
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    but also moral feelings
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    including compassion.
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    Many people would argue that in that regard,
    the baby starts off with nothing.
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    The idea is that children start off immoral,
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    monsters or if not monsters,
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    at least they know not from good and evil.
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    This is not the view which I think is supported
    by the data.
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    I think there is now more and more data in
    support of a different view of compassion.
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    One way to make a baby cry
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    is to expose it to the cries of other babies.
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    There’s sort of contagiousness to the crying.
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    It’s not just crying.
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    We also know that if a baby sees another human
    in silent pain, it will distress the baby.
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    It seems part of our very nature is to suffer
    at the suffering of others.
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    We know that young babies,
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    as they become capable of moving voluntarily will share.
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    They will share food, for instance,
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    with their siblings and with kids that are around.
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    They will sooth.
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    If they see somebody else in pain, even the
    youngest of toddlers will try to reach out
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    and pat the person.
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    Maybe hand over a toy.
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    There’s some lovely studies finding that
    slightly older children are able to help others
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    when they see somebody who is unable to fulfill
    a goal, they’ll seek out to come to their
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    aid.
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    So one elegant demonstration of this comes
    from a recent set of experiments
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    Where they take a toddler
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    put him or her in a situation
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    where an adult is in some sort of
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    mild distress and see if the toddler
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    will voluntarily help
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    even without any prompting.
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    And they find that toddlers typically do.
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    There seems to be some sort of impulse in
    us that’s altruistic, that’s kind, that’s
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    compassionate.
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    In all of these cases; however, the kindness
    that we see seems to apply to people who are
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    close to us, who are either physically in
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    our proximity or who are our siblings or our
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    parents or our friends.
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    So the question arises, how broad does this
    compassion extend?
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    Now some people would argue that we start
    off with a very broad compassion, we would
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    extend it to all individuals, to all people.
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    But there’s evidence support a somewhat
    different view, which is, there’s a moral
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    instinct in us, there’s a moral sense in
    us, but it’s initially very narrow.
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    It’s only triggered by those close to us.
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    In fact, our natural default feelings towards
    a stranger, far from being compassionate,
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    is actually some sort of mixture of fear and
    hatred.
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    We see this in all sorts of different ways.
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    So in young children, we see it in what’s
    called, “stranger anxiety.”
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    At around nine months of age, babies start
    becoming panicked at the presence of strangers.
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    and it sees to capture a universal part
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    of development where the other is thought of as dangerous.
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    This sort of stranger anxiety fades in some
    cultures.
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    If you were to find yourself in an airport
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    in a new city, you’re not likely to have
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    a panic attack because you’re surrounded
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    by people you don’t know. But in small scale
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    human societies, it might never go away.
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    In a situation when an individual is raised
    with a few hundred other individuals around
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    them, that is their circle of compassion.
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    And their response to others is not positive.
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    This is an observation that’s been made
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    by many anthropologists who study small scale
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    societies.
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    So for instance, anthropologist, Jared Diamond,
    talking about small scale societies in papua new guinea
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    writes, “To venture out of one’s
    territory to meet other humans, even if they
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    lived only a few miles away, was equivalent
    to suicide.
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    Many years before, Margaret Meade was talking
    about the lifestyles of what were called at
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    the time, “primitive cultures.”
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    And she is famously a supporter of these lifestyles.
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    She argues that the Western world would be
    much better if we were to adopt the customs
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    and thoughts and ideas, particularly in regard
    to sexuality of these other societies.
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    But she was very honest and very blunt about
    how members of these societies treat strangers.
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    She writes: “Most primitive tribes feel
    that if you run across one of those sub humans
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    from a rival group in the forest, the most
    appropriate thing to do is bludgeon them to
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    death.”
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    I’ve talked about fear and hatred, but there’s
    a third sort of response that we often give
    to strangers.
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    This is disgust.
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    Disgust is what Paul Rozin described as the
    “body/soul emotion,” is a human universal.
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    Humans everywhere are disgusted by certain
    things.
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    We are disgusted by feces, urine, blood, vomit,
    rotten flesh, and most meat.
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    Disgust has a characteristic facial response
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    <<>>
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    and its easy part of our natures.
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    Now, if it was limited to food and cockroaches
    and that sort of thing, it wouldn’t have
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    anything to do with my talk on compassion.
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    But what’s most interesting is that we’re
    often disgusted by other people.
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    Particularly, we’re often disgusted by strange
    people.
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    By definition
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    any category of human individuals
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    is something you either
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    belong to, or you don't.
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    It's either what psychologists call
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    an in group or an out group.
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    And we have laboratory research that explores
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    the relationship between feelings of disgust
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    and feelings towards out groups.
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    So we know for instance that people differ
    in how easily disgusted they are.
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    You do a survey of people.
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    You ask them questions like, how badly would
    this bother you.
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    So one of the questions might be, you have
    to pick up a dead cat with your hands.
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    And there’s some people who say, “uh, whatever.”
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    Some people, “Oh my god!
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    I’d rather die”.
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    Or, you sit on a city bus seat
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    and it’s warm from the last person
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    who was on it.
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    And some people crack up, well why would that
    bother me?
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    Other people say, “That’s very disturbing.”
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    People differ in how sensitive they are to
    disgust.
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    It turns out that where you stand with regard
    to disgust correlates with your feelings about
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    out groups.
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    It correlates with your feelings about immigrants;
    it correlates with your feelings about sexual
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    minorities, in particular male homosexuals.
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    The more easily disgusted you are, the more
    aversion you find to these others.
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    We also know this experimentally.
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    We know that by making people be disgusted,
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    we can make them meaner. I’ll give you an example of this.
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    This is from a study I was involved with,
    with David Pizarro at Cornell University as
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    the lead investigator.
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    What we did was we brought people into the
    lab… into a lab at Cornell.
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    And we asked him all sorts of questions regarding
    their feelings towards different groups and
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    different policies.
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    What do you think of African-Americans?
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    What do you think of gay men?
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    What do you think of welfare?
    What do you think of immigration?
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    And so on and so forth.
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    Half the people just filled it out and went
    home.
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    The other half of the subjects went into the
    room, got the same survey.
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    But the difference was, before they entered
    the room
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    we sprayed the room with a fart spray.
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    That’s the first experiment I’ve ever
    been involved with that used a fart spray.
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    People would be kind of grossed out.
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    And it would make them meaner.
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    Not towards everything, but it would make
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    them particularly meaner towards out groups,
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    like male homosexuals.
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    And this supports the idea that there’s
    a connection in our minds between a visceral
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    emotion of disgust and our feelings towards
    others.
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    So what I’ve argued is, we do have a natural compassion,
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    but it’s limited. It does not naturally extend to others.
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    But that raises a puzzle
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    because you and me and everyone else we know
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    can extend our compassion to strangers.
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    To put it in the language that the philosopher Peter Singer has used,
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    “Our moral circle has expanded.”
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    It might be that our ancestors, it might be the people in small scale societies only
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    cared about their family and friends.
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    But we have a broader circle of compassion.
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    We think about we care about people in other countries.
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    We care about people from other races.
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    We care about people we’ve never seen before
    and we never will see.
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    When some sort of disaster strikes like a
    tsunami or a hurricane, many
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    of us give our resources, even our blood,
    to help out people we’ve never met before.
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    And that poses a neat psychological puzzle.
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    What forces take our narrow moral circle,
    our narrow scope of compassion and
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    bigger and expand it to care for these others?
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    Now I think that there are a lot of different
    answers to that question.
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    Robert Wright, for instance, has argued that
    one force in expanding the moral circle has
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    been human interconnections in commerce, in
    international travel and so on.
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    The more people you know, the more people
    you have contact with, the more we are interconnected
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    in the world, the more you might care about
    them in a sort of self-interested altruism
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    where you care about them because they’re
    fates are intertwined with yours.
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    And I think that there’s a lot of value
    in that insight.
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    But I want to focus on a more
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    psychological more individual based mechanism.
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    for expanding our the moral circle.
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    A mechanism that happens to individuals
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    as they get older
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    part of devleopment.
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    which is, their sympathies expand because of a certain
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    sort of persuasion.
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    I want to suggest that there is psychological
    evidence that supports the idea that we can
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    expand our compassion, our moral circle to

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    far away strangers by being made to think
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    of them as if they are individual people.
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    We think of them as if they’re our friends and family.
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    We think of them as if they are right in front
    of us.
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    Joseph Stalin famously said, “A single death
    is a tragedy, a million deaths is a statistic.”
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    And Mother Theresa presented a similar sentiment
    when she said, “If I look at the mass, I
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    will never act.
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    If I look at the one, I will.”
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    Psychologists like Paul Slovic has explored this in the lab.

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    So for instance, they would do a study where
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    they would have an appeal for a charity.
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    And in fact, they would take the money they
    got and send it to the charity.
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    And they would, for one group of subjects,
    describe the problem in terms of statistics,
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    in terms of numbers, in terms of the millions
    of people suffering, a sort of suffering a
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    proportion of the population who is in desperate
    need.
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    And they found that people would give say,
    roughly a dollar.
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    For the other group, they didn’t bother
    with statistics at all.
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    They didn’t bother trying to impress them
    with the huge number of people suffering.
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    They told them a story about a single individual.
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    They had a picture of that individual, they
    gave her a name.
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    And when you do that, you find that people
    are far more generous.
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    It’s a far more powerful effect on their
    compassion.
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    They will give, roughly, twice as much.
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    Charities, when they try to appeal for people’s


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    help, won’t throw numbers at you.
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    They typically won’t because they know that
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    doesn’t work.
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    The way to extend people’s compassion, the
    way to motivate altruistic action is to appeal
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    to some very natural, very hardwired systems
    within us that respond to individual people.
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    I think it’s a tremendously
    persuasive way for a charity to work.
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    And I think more generally, as part of the
    story for how our compassion can get bigger
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    and bigger.
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    People talk about moral progress.
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    People have argued that through our history,
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    our moral circles have been expanding.
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    We now live in a world where people believe
    we have moral obligations to other races,
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    other nationalities that sexism and racism
    are immoral.
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    Consider the end of slavery in the United States.
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    There are a lot of different factors that
    led to the end of slavery, but many historians
  • 17:37 - 17:44
    would argue that one of the forces that led
    many white Americans to believe slavery was
  • 17:44 - 17:49
    wrong was persuasion, in particular, it was
    the work of the author Harriett Beecher Stowe
  • 17:49 - 17:52
    in her book, Uncle Tom’s Cabin.
  • 17:52 - 17:58
    In this book, she didn’t make logical arguments;
    she didn’t make theological points or philosophical
  • 17:58 - 17:59
    proposals.
  • 17:59 - 18:03
    Rather, she got her readers to extend their
    sympathies.
  • 18:03 - 18:05
    And this had a profound effect.
  • 18:05 - 18:08
    It had a profound effect persuading them that

  • 18:08 - 18:09
    slavery was wrong
  • 18:09 - 18:13
    so part of morality, part of right and wrong
  • 18:13 - 18:16
    is intimately connected with compassion over our feelings towards others.
  • 18:16 - 18:19
    Some scholars like David Hume,
  • 18:19 - 18:22
    argue that a sense of empathy, a sense of compassion
  • 18:22 - 18:26
    is aptly central to becoming a fully moral being.
  • 18:26 - 18:28
    And certainly notions of right and wrong
  • 18:28 - 18:30
    come up in the domain of race.
  • 18:30 - 18:33
    Cause the very question of forming stereotypes
  • 18:33 - 18:38
    and forming attitudes towards human groups is morally fraught.
  • 18:41 - 18:45
    The second case study I want to talk about
    is racism.
  • 18:45 - 18:49
    And I want to begin by making a connection
    to a branch of cognitive psychology.
  • 18:49 - 18:55
    In particular the branch of cognitive psychology
    that deals with how we make sense of the world.
  • 18:55 - 19:01
    How we naturally form categories of the things
    we see and the things we interact with.
  • 19:01 - 19:08
    Cognitive psychologists have pointed out that in order to survive in the world, we have to make generalizations.
  • 19:09 - 19:13
    You probably have never seen those three pictures
    I have up here, but you immediately know that
  • 19:13 - 19:18
    one is a dog and one is an apple and one is
    a chair.
  • 19:18 - 19:21
    You will also have intuitions about these
    things… you’ll make generalizations.
  • 19:21 - 19:27
    You’ll believe the dog can bark, the apple
    is something you can eat, a chair is something
  • 19:27 - 19:29
    you can sit on.
  • 19:29 - 19:33
    Now, you probably also realize that there
    are exceptions to this.
  • 19:33 - 19:38
    Some dogs are silent, some apples are poisonous,
    some chairs will collapse if you sit on them,
  • 19:38 - 19:44
    but still if you couldn’t make those generalizations,
    if you didn’t recognize that some properties
  • 19:44 - 19:50
    tend to co-occur with some objects, you would
    be helpless in the world.
  • 19:50 - 19:55
    You wouldn’t know what to eat, you wouldn’t
    know how anything would react; you wouldn’t
  • 19:55 - 19:57
    survive.
  • 19:57 - 20:01
    Part of being a successful human, in fact,
    part of being any successful animal is being
  • 20:01 - 20:02
    able to learn.
  • 20:02 - 20:08
    And a good part of what learning is is to
    make statistical generalizations on the basis
  • 20:08 - 20:09
    of limited experience.
  • 20:09 - 20:15
    You eat a thousand apples, they all taste
    pretty good, you conclude, I can eat apples,
  • 20:15 - 20:16
    apples taste good.
  • 20:16 - 20:18
    And when you’re hungry, you reach for the apple.
  • 20:18 - 20:22
    This is adaptive, it is rational, it is reasonable.
  • 20:22 - 20:25
    But now there’s a twist.
  • 20:25 - 20:29
    The twist is that some of the categories that
    we form are categories of people.
  • 20:29 - 20:35
    We form categories on the basis of sex, of age, of
  • 20:35 - 20:45
    race, profession, religion, sexual orientation,
    nationality, and where the person lives.
  • 20:49 - 20:53
    When we form categories of people, we often call these stereotypes.
  • 20:53 - 20:57
    Now, stereotype may sound like a bad word,
    but there’s nothing bad about it.
  • 20:57 - 21:00
    For one thing, stereotypes are often accurate.
  • 21:00 - 21:05
    We’re reasonably good statistical learners,
    and so we tend to be reasonably accurate.
  • 21:05 - 21:10
    Also, stereotypes are often positive, particularly
    of groups that we ourselves belong to.
  • 21:10 - 21:15
    Some of the statistical generalizations may
    be correct and may be positive as some groups
  • 21:15 - 21:21
    have reputations for being smart, for being
    loyal, for being brave, for all sorts of things
  • 21:21 - 21:24
    that are not at all negative.
  • 21:24 - 21:27
    And so there’s nothing inherently wrong
    about stereotypes.
  • 21:27 - 21:31
    On the other hand there are several problems with stereotypes.
  • 21:31 - 21:37
    For one thing, they’re reliable insofar
    as they’re based on a sample, an unbiased
  • 21:37 - 21:39
    sample, of the population.
  • 21:39 - 21:44
    But a lot of the information we get about
    human groups is through biased sources like
  • 21:44 - 21:46
    how they’re represented in the media.
  • 21:46 - 21:52
    And if these sources don’t give you an accurate
    rendition, you’re a stereotype won’t be
  • 21:52 - 21:53
    accurate.
  • 21:53 - 21:58
    For example, many Italian-Americans were upset
    at the depiction of Italian-Americans in a
  • 21:58 - 22:00
    television show, “The Sopranos.”
  • 22:00 - 22:04
    This is because, if you are in an area where
    the only Italian-Americans you meet are those
  • 22:04 - 22:07
    you see on TV and those you see on “The
    Sopranos,” you’re going to think they’re
  • 22:07 - 22:09
    all mobsters.
  • 22:09 - 22:13
    Many Jews historically have been troubled
    by Shakespeare’s depiction of Shylock.
  • 22:13 - 22:18
    If the only Jew you know is Shakespeare’s
    Shylock, again, it’s going to be a very
  • 22:18 - 22:20
    bad impression.
  • 22:20 - 22:26
    And so one problem with stereotypes is while
    we have accurate statistical mechanisms for
  • 22:26 - 22:31
    taking in information and drawing conclusions
    from them, often our information isn’t reliable
  • 22:31 - 22:35
    and often this can lead to the formation of
    stereotypes that aren’t right.
  • 22:35 - 22:40
    A second problem is that stereotypes regardless
    of whether or not they’re accurate can have
  • 22:40 - 22:43
    a negative effect on the people that they apply to.
  • 22:43 - 22:49
    And this is what the psychologist, Claude
    Steele, described as stereotype threat.
  • 22:49 - 22:51
    So he has a vivid example of this.
  • 22:51 - 22:56
    Here’s how to make African-Americans do
    worse on a math test.
  • 22:56 - 23:01
    You have the test and you put on the test
    that they have to identify their race.
  • 23:01 - 23:08
    The very act of acknowledging that their African-American
    when given a test ignites in them thoughts
  • 23:08 - 23:12
    of their own stereotype, which isn’t positive,
    which is negative regarding academics and
  • 23:12 - 23:13
    that makes them do worse.
  • 23:13 - 23:17
    Want to know how to make a woman do worse
    on a math test?
  • 23:17 - 23:20
    Same thing, get her to write down her sex.
  • 23:20 - 23:23
    One recent study found a sort of clever twist
    on this.
  • 23:23 - 23:26
    The study involved testing Asian-American
    women.
  • 23:26 - 23:30
    Turns out, when Asian-American women are given
    a test and they’re asked to mark down their
  • 23:30 - 23:32
    race, they do better than they would otherwise
    do.
  • 23:32 - 23:36
    They’re reminded of the stereotype, but
    as a positive stereotype and it bumps them
  • 23:36 - 23:37
    up.
  • 23:37 - 23:41
    You ask them, on the other hand, to mark down
    their sex, they do worse because they’re
  • 23:41 - 23:45
    women and that’s a negative stereotype towards
    women.
  • 23:45 - 23:51
    That’s an example of how stereotypes have
    a potentially damaging effect on people.
  • 23:51 - 23:57
    A third problem with stereotypes is, in some
    way, our stereotypes of human groups are like
  • 23:57 - 24:02
    our categories of dogs and apples and chairs.
  • 24:02 - 24:04
    But there’s a way in which they aren’t.
  • 24:04 - 24:07
    We’re not dogs and apples and chairs.
  • 24:07 - 24:09
    But we are members of human groups.
  • 24:09 - 24:16
    And this fact of how you connect with the
    category has an effect on how you think of
  • 24:16 - 24:18
    the category.
  • 24:18 - 24:22
    There’s a lot of evidence suggesting that
    when you’re a member of the category, you
  • 24:22 - 24:23
    boost it.
  • 24:23 - 24:24
    You give it higher qualities.
  • 24:24 - 24:28
    People in your group are smarter or nicer,
    they’re more deserving and so on.
  • 24:28 - 24:35
    On the other hand, if it’s an out group,
    if it’s another category, particularly if
  • 24:35 - 24:40
    it’s a category that you’re in some way
    competing against, the category gets denigrated.
  • 24:40 - 24:44
    We see some vivid historical example of this.
  • 24:44 - 24:50
    In one study in 1942, Americans were asked
    to describe the top two features of Russians.
  • 24:50 - 24:55
    And they described them as brave and hard-working.
  • 24:55 - 24:57
    In 1948, they were asked the same question.
  • 24:57 - 25:00
    They described them as cruel and conceited.
  • 25:00 - 25:06
    The Russians didn’t change, what changed
    was our relationship to them over the intervening
  • 25:06 - 25:11
    years; they went from being part of a group
    that we were a part of to the out group.
  • 25:11 - 25:15
    The final problem with stereotypes is a moral
    one.
  • 25:16 - 25:23
    Even if stereotypes are perfectly accurate,
    even if they’re accurate summaries of the
  • 25:23 - 25:27
    statistics of a group, there are many cases
    where we believe that it’s morally wrong
  • 25:27 - 25:32
    to judge somebody based on their group membership.
  • 25:32 - 25:34
    We should judge them as individuals.
  • 25:42 - 25:46
    For all of these reasons, and maybe mostly
    for the last one,
  • 25:46 - 25:50
    there’s an interesting tension in how we think about other groups.
  • 25:51 - 25:57
    On the one hand, we want to be consciously
    egalitarian, consciously non-racist, consciously
  • 25:57 - 26:02
    thinking of individuals as individuals and
    not letting stereotypes, particularly ugly
  • 26:02 - 26:05
    stereotypes affect our judgments.
  • 26:05 - 26:08
    And there’s some evidence that we succeed
    at this.
  • 26:08 - 26:12
    You look at the statistics, for instance,
    what you see in this graph, is there are a
  • 26:12 - 26:17
    portion of Americans who say they would vote
    for a qualified African-American to be President.
  • 26:17 - 26:21
    And what you could see is, at a certain point
    by the mid-nineties, just about everybody
  • 26:21 - 26:23
    says, that they would.
  • 26:23 - 26:27
    And the election of Barrack Obama shows that
    this wasn’t just people lying when asked
  • 26:27 - 26:34
    questions, it really reflects an honest to god consciously egalitarian viewpoint.
  • 26:34 - 26:38
    On the other hand, we also have an unconscious
    system.
  • 26:38 - 26:45
    And an unconscious system is more statistics
    driven, more biased and less sensitive to
  • 26:45 - 26:46
    moral concerns.
  • 26:46 - 26:53
    So you get a tension between the conscious
    egalitarian system and the unconscious system,
  • 26:53 - 26:56
    which is often driven by bias.
  • 26:56 - 27:00
    This conscious, this unconscious system is
    data-driven
  • 27:00 - 27:05
    and it is a lot less sensitive to our
    moral concerns than the conscious system.
  • 27:05 - 27:09
    One striking example of unconscious biases involves
  • 27:09 - 27:11
    being shown these two faces.
  • 27:11 - 27:15
    And asked who is more American?
  • 27:15 - 27:17
    Well at some level this is a ridiculous question.
  • 27:17 - 27:19
    You would laugh when they hear it.
  • 27:19 - 27:22
    Barack Obama is more American cause he's like American.
  • 27:22 - 27:25
    Tony Blair is British.
  • 27:25 - 27:27
    But unconsciously you can ask the same question.
  • 27:27 - 27:31
    You can see how quickly it takes to associate
  • 27:31 - 27:35
    these faces with words like American or not American.
  • 27:35 - 27:39
    And it turns out based on this sort of implicit unconscious test
  • 27:39 - 27:44
    people are often more willing and quicker to
  • 27:44 - 27:47
    associate the face of Tony Blair as American
  • 27:47 - 27:49
    than the face of Barack Obama.
  • 27:49 - 27:51
    Of course because Tony Blair has a white face
  • 27:51 - 27:53
    and Barack Obama has a dark face.
  • 27:54 - 27:59
    Now, one response to these sorts of studies,
    one perfectly legitimate response I think
  • 27:59 - 28:01
    is say, who cares.
  • 28:01 - 28:05
    Consciously, we’re egalitarian, consciously
    we’re non-prejudice, we have these weird,
  • 28:05 - 28:08
    quirky unconscious biases that drive our behavior
  • 28:08 - 28:11
    when pressing buttons and responding fast.
  • 28:11 - 28:13
    What difference does it make?
  • 28:13 - 28:16
    But there’s evidence it does make a difference.
  • 28:16 - 28:20
    There’s evidence that these unconscious
    biases play a role in things that matter very
  • 28:20 - 28:22
    much in the real world.
  • 28:22 - 28:26
    So consider some studies by Jack Dovidio and
    his colleagues.
  • 28:26 - 28:32
    They first did this study in 1989, and what
    it involved is, you give people resumes of
  • 28:32 - 28:35
    candidates and these resumes have pictures.
  • 28:35 - 28:40
    And what the subjects and experiment don’t
    know is they were always given the same resume,
  • 28:40 - 28:44
    but half of them got it with a white person,
    half of them a black person.
  • 28:44 - 28:48
    And then they were asked, how strongly would
    you recommend this person for a job?
  • 28:48 - 28:53
    Now, if these candidates had strong qualifications,
    they both would be recommended.
  • 28:53 - 28:59
    In fact, perhaps the black is a bit more likely
    to be recommended than the white one.
  • 28:59 - 29:05
    But when they had moderate qualifications,
    when it’s a judgment call, the white candidate
  • 29:05 - 29:09
    was statistically more like to be recommended
    for a job than the black candidate.
  • 29:09 - 29:11
    Not because these people said, I’m a racist,
    I’m going to do it this way,
  • 29:11 - 29:16
    but rather they are swayed by this factor that they might
    not have been conscious of.
  • 29:17 - 29:19
    As I said, this was done in 1989.
  • 29:19 - 29:22
    But they did the same study in 1999 and got
    the same result.
  • 29:22 - 29:26
    And they did the same study in 2005, and got
    the same result.
  • 29:26 - 29:29
    So, we’re at war with ourselves.
  • 29:29 - 29:33
    We have on the one hand these conscious beliefs
    about how we think we should think, how we
  • 29:33 - 29:34
    think we should behave.
  • 29:34 - 29:38
    On the other hand, we have this unconscious
    system that makes all these sorts of decisions
  • 29:38 - 29:43
    and affects us in ways that we might not know
    about, we might not be aware of.
  • 29:43 - 29:47
    The good news is we’re also smart.
  • 29:47 - 29:54
    And part of being smart means that we can
    structure our world so that we can make it
  • 29:54 - 29:57
    that unconscious biases matter less.
  • 29:58 - 30:02
    To give you an example of this, I’ll turn not to race, but to gender.
  • 30:02 - 30:09
    Not too long ago, women were deeply underrepresented
    in symphony orchestras.
  • 30:09 - 30:13
    And the reason for this, it was argued is
    because they don’t play as well.
  • 30:13 - 30:17
    In a fair and biased fashion
    they’d been judged and they just don’t
  • 30:17 - 30:19
    sound as good.
  • 30:19 - 30:25
    But in part, based on these sorts of discoveries,
    symphony orchestras began to hold blind auditions.
  • 30:25 - 30:29
    What they would do is they would have the
    person play behind a screen.
  • 30:29 - 30:34
    The judges won’t know if they are listening to a man or to a woman.
  • 30:34 - 30:40
    Once this was put into place, the representation
    of women in symphony orchestras shot up.
  • 30:40 - 30:44
    It wasn’t that originally these were just sexist, to say,
  • 30:44 - 30:46
    I don’t like women; I’m going to count against them.
  • 30:46 - 30:52
    Rather, these were perhaps good, non-sexist
    people, who couldn’t help hearing the woman
  • 30:52 - 30:54
    differently from the man.
  • 30:54 - 31:00
    And I like this example because it shows how
    first, social psychology and psychology in
  • 31:00 - 31:02
    general can shape policy in a good way.
  • 31:02 - 31:08
    But second, it shows how we’re smart enough
    to manipulate the world so that our better
  • 31:08 - 31:09
    selves get to make the decisions.
  • 31:14 - 31:18
    The third case study I want to talk about
    is sex.
  • 31:18 - 31:24
    And when it comes to sex, considerations of
    evolution become incredibly relevant.
  • 31:24 - 31:30
    I think the question of how we evolve and
    the question of how our minds are now shaped
  • 31:30 - 31:34
    in response to evolution pressure is something
    that pertains to all of psychology.
  • 31:34 - 31:38
    It pertains to, certainly, for how we think
    about human groups, certainly for compassion
  • 31:38 - 31:42
    and morality, and all sorts of other topics
    I haven’t discussed, like perception and
  • 31:42 - 31:44
    language and memory.
  • 31:44 - 31:49
    But it’s screamingly obvious in the domain
    of sex.
  • 31:54 - 31:59
    As soon as you start thinking about
    our bodies and our brains, you’re faced
  • 31:59 - 32:00
    with a puzzle.
  • 32:00 - 32:04
    And it’s the sort of a puzzle that can only
    be resolved in terms of evolution.
  • 32:04 - 32:07
    And here’s what the puzzle is.
  • 32:07 - 32:09
    What’s the difference between males and
    females?
  • 32:09 - 32:14
    Well, there’s a general answer to this that
    doesn’t pertain to any particular species
  • 32:14 - 32:16
    that goes across every creature on earth.
  • 32:16 - 32:19
    The males are the ones with the small sex
    cells.
  • 32:19 - 32:25
    To be a male is to have a sperm, which contains
    genetic material, and that’s basically it.
  • 32:25 - 32:28
    The females have the large sex cells.
  • 32:28 - 32:35
    The female sex cell, the egg, also contains
    genetic material but it contains a cover,
  • 32:35 - 32:42
    it contains food, it contains all the apparatus
    needed to get an organism growing.
  • 32:42 - 32:44
    So here’s the puzzle.
  • 32:44 - 32:48
    You look around most animals, not all animals,
    but most animals.
  • 32:48 - 32:53
    And the male is bigger and more aggressive.
  • 32:53 - 33:00
    So why would the animal with the smaller sex
    cell tend to grow up to be the bigger animal.
  • 33:00 - 33:06
    And this has been a mystery for a very long
    time until an evolutionary biologist named
  • 33:06 - 33:07
    Robert Trivers, solved it.
  • 33:08 - 33:14
    And he solved it by making reference to the
    idea of parental investment.
  • 33:18 - 33:23
    Trivers defines parental investment as any
    investment by the parent in an individual
  • 33:23 - 33:29
    offspring that increases the offspring’s
    chances of surviving at the cost of the parent’s
  • 33:29 - 33:31
    ability to invest in other offspring.
  • 33:31 - 33:34
    Given the different size in the sex cells
  • 33:34 - 33:38
    it means that males typicaly have less investment than females.
  • 33:38 - 33:41
    Because in most, though not in all species
  • 33:41 - 33:45
    the offspring grows inside the females body.
  • 33:45 - 33:48
    And while that offspring is growing inside the females body
  • 33:48 - 33:53
    the male is free to have other offspring, but the female is not.
  • 33:53 - 33:56
    for humans for instance a man can ejaculate
  • 33:56 - 33:59
    then moments later or hours later
  • 33:59 - 34:02
    or however much later can ejaculate again.
  • 34:02 - 34:05
    And there's virtually no practical limit
  • 34:05 - 34:09
    to how many different offspring a man can have.
  • 34:09 - 34:11
    For a woman when she get's pregnant
  • 34:11 - 34:14
    she can't have more kids during that period.
  • 34:14 - 34:18
    In fact it is difficult for her to have kids even later on when she is breastfeeding.
  • 34:18 - 34:21
    So there is a fairly small number of offspring
  • 34:21 - 34:23
    a female human can have.
  • 34:23 - 34:25
    This makes a difference,
  • 34:25 - 34:25
    it makes a difference. It makes a difference in the
  • 34:25 - 34:28
    sort of economic game theoretic structure.
  • 34:28 - 34:30
    of human sexuality.
  • 34:30 - 34:33
    What follows from this from an economic point of view
  • 34:33 - 34:35
    is that males compete with on another
  • 34:35 - 34:38
    for access to females.
  • 34:38 - 34:44
    Both males and females want offspring, that’s
    the genetic imperative, but males can be more
  • 34:44 - 34:48
    into number while females can be more into
    quality.
  • 34:48 - 34:50
    This leads to competition between males.
  • 34:50 - 34:53
    And the competition is of two different sorts.
  • 34:53 - 35:00
    There’s competition male against male, which
    leads to the evolution of aggressive trades.
  • 35:00 - 35:05
    It even leads to the evolution of some species
    with special organs, like the giant horns
  • 35:05 - 35:11
    of some animals that exist for males and not
    females because they’ve evolved according
  • 35:11 - 35:15
    to this reproductive logic based on the lower
    parental investment.
  • 35:21 - 35:26
    It also leads males to evolve certain traits
    to attract the attention of females.
  • 35:26 - 35:28
    Females are the scarce resource here.
  • 35:28 - 35:30
    Females as a rule are more choosey
  • 35:30 - 35:34
    when it comes to short term sexual partners than males.
  • 35:34 - 35:38
    And so males compete with one another to attract
    females.
  • 35:38 - 35:42
    The most striking biological example of this
  • 35:42 - 35:46
    is the elaborate, glorious plumage of the peacock.
  • 35:46 - 35:49
    There’s a carton I enjoy here because the
    peahens are saying to the peacock,
  • 35:49 - 35:51
    “Cut the crap and show us your willy.”
  • 35:52 - 35:56
    Which I like because it sounds sort of British,
    but I also like because it nicely captures
  • 35:56 - 35:59
    the evolutionary logic behind what all of
    this is for.
  • 36:00 - 36:03
    Finally, you get to relative choosiness.
  • 36:03 - 36:08
    Females are, as a rule, more choosy when it
    comes to short-term sexual partners than males.
  • 36:08 - 36:12
    And this shows up in a couple of ways, it
    shows up in prostitution.
  • 36:12 - 36:17
    So, prostitution is a huge industry in the
    world.
  • 36:17 - 36:22
    And with very few exceptions, prostitutes
    cater to male customers.
  • 36:22 - 36:24
    Then there’s pornography.
  • 36:24 - 36:28
    Now, pornography may appeal to different sexes,
    some people have argued that romance novels
  • 36:28 - 36:32
    are sort of the equivalent to pornography
    for women.
  • 36:32 - 36:37
    But what appeals to men is often sort of images
    of sexually receptive women.
  • 36:38 - 36:42
    This isn’t the same as sort of a one-night
    stand, but is a psychologically vicarious
  • 36:42 - 36:47
    one-night stand, where this image is enough
    to lead to arousal.
  • 36:47 - 36:50
    The only thing interesting I have to say about
    this is a recent study that suggests this
  • 36:50 - 36:54
    is not exclusively a human vice.
  • 36:54 - 36:58
    So recent study involved showing pornography
    to Rhesus Macaques, these are a type of monkey.
  • 36:58 - 37:03
    The question was, would these monkeys pay to see porn?
  • 37:03 - 37:07
    And so you didn’t have a financial system
    for these monkeys, so they set up a nice apparatus
  • 37:07 - 37:10
    where at a certain point, the
    monkey had a choice, he could either stare
  • 37:10 - 37:16
    at a picture or turn and sip sweet orange
    juice; monkeys love orange juice.
  • 37:16 - 37:20
    So the question is, what sort of pictures
    would they pay, would they give up on this
  • 37:20 - 37:22
    orange juice in order to see?
  • 37:22 - 37:25
    And there were two sorts of pictures that
    they would pay to see.
  • 37:25 - 37:30
    They would pay to see the behinds of female
    Rhesus monkeys and they would pay to see the
  • 37:30 - 37:34
    faces of high status male Rhesus monkeys.
  • 37:34 - 37:40
    Sort of like the equivalent of a Playboy Magazine
    and People Magazine, suggesting that two of
  • 37:40 - 37:47
    the major human vices, pornography and celebrity
    worship are in fact not uniquely human.
  • 37:51 - 37:57
    Now, you can go on about the differences between
    males and females in terms of sexual interest
  • 37:57 - 38:02
    and sexual hues and so on, but I want to focus
    for the rest of this case study on certain
  • 38:02 - 38:04
    things we have in common.
  • 38:04 - 38:09
    And one thing that we have in common is an
    attraction to what we would call beauty.
  • 38:09 - 38:14
    Certain things are beautiful, certain things
    appeal to us universally.
  • 38:14 - 38:19
    Some studies find in the first tenth of a
    second after looking at a face, you have computed
  • 38:19 - 38:21
    how beautiful it is.
  • 38:21 - 38:23
    Cultures differ tremendously, different times,
    different places
  • 38:23 - 38:26
    in what counts as beautiful, what counts as sexually attractive.
  • 38:26 - 38:32
    And that is entirely true; there are interesting
    and powerful differences.
  • 38:32 - 38:35
    But at the same time, there are also universals.
  • 38:35 - 38:39
    There are certain things that people everywhere
    find attractive.
  • 38:39 - 38:44
    And we can use evolutionary theory to makes
    sense of the sort of things people find as
  • 38:44 - 38:45
    beautiful.
  • 38:45 - 38:50
    So to some extent, beauty equates to youth.
  • 38:50 - 38:55
    Hues like round eyes, full lips, smooth tight
    skin.
  • 38:55 - 38:59
    Most likely it is because they are cues the person is young,
  • 38:59 - 39:02
    is able to have kids, has many years ahead of them.
  • 39:02 - 39:03
    And so on.
  • 39:03 - 39:06
    Beauty also equates to health.
  • 39:06 - 39:07
    We are drawn to features like
  • 39:07 - 39:12
    absence of deformities, clear eyes, unblemished skin
  • 39:12 - 39:15
    intact teeth, and average faces.
  • 39:15 - 39:17
    And you might think, average faces?
  • 39:17 - 39:20
    That’s strange thing to put in beautiful,
    as a category of beautiful.
  • 39:20 - 39:24
    But it turns out average faces actually look
    really good.
  • 39:24 - 39:30
    So what an average face does is it gets rid
    of all of the things that are unusual and
  • 39:30 - 39:33
    people tend to find it quite attractive.
  • 39:34 - 39:37
    Now one accusation that always comes up in
    these situations is,
  • 39:37 - 39:38
    who did you get this data from?
  • 39:38 - 39:44
    And in fact, psychologists are often guilty
    of collecting data from 24 university freshmen
  • 39:44 - 39:49
    and then saying that these conclusions apply
    to all of humanity, but not in this case.
  • 39:49 - 39:54
    In this case, studies of human attractiveness
    have been done cross-culturally and you get
  • 39:54 - 39:57
    pretty much the same findings wherever you
    go.
  • 39:57 - 40:03
    Again, there’s some interesting differences,
    but these universals seem to always be attractive.
  • 40:03 - 40:08
    The work that’s most exciting to me along
    these lines is actually done with babies.
  • 40:08 - 40:13
    So adults can rank faces as attractive or
    unattractive, but you can also see what babies
  • 40:13 - 40:15
    think about faces.
  • 40:15 - 40:22
    And it turns out, using babies looking time
    as a measure for what they like to see.
  • 40:22 - 40:24
    So how long will they look at a face?
  • 40:24 - 40:30
    It turns out that babies preference for attractive
    faces match pretty well adults preferences
  • 40:30 - 40:32
    for attractive faces.
  • 40:32 - 40:36
    So for instance, in some wonderful work by
    Languar[ph] and her colleagues, she would
  • 40:36 - 40:41
    show different degrees of averageness across
    faces, composites of more and more people.
  • 40:41 - 40:46
    You can see this in these faces are not the
    faces of real people, these faces are computer
  • 40:46 - 40:51
    composites of multiple people and they are
    not bad looking, but you can get better than
  • 40:51 - 40:53
    average for both males and females.
  • 40:53 - 40:59
    For females, many people will judge a face
    better than average if it’s feminized.
  • 40:59 - 41:05
    If you take the features that define a face
    as female and you exaggerate them, as in the
  • 41:05 - 41:10
    picture on the right, it tends to look a little
    bit better than your average female face.
  • 41:10 - 41:13
    For men, you could do the same thing.
  • 41:13 - 41:15
    you can take faces and
  • 41:15 - 41:20
    take your average male face and turn it into
    testosterone man, which is the face that you’re
  • 41:20 - 41:21
    looking at on the left.
  • 41:21 - 41:27
    It turns out that women’s responses to testosterone
    man differ according to whether or not they’re
  • 41:27 - 41:29
    ovulating.
  • 41:29 - 41:35
    So if a woman is ovulating, she is more likely
    to find this manliest of man face attractive,
  • 41:35 - 41:40
    while if not, she tends to go back to just
    find average man more attractive.
  • 41:40 - 41:43
    And there's different theories of precisely why this is so.
  • 41:43 - 41:47
    It does suggest that our sexual psychologies
    connect with our reproductive preferences
  • 41:47 - 41:49
    in all sorts of interesting ways.
  • 41:49 - 41:54
    But there’s a lot more to looking
    good than how you look.
  • 41:58 - 42:02
    It turns out, how attractive you find a face
  • 42:02 - 42:06
    is critically dependent on how much you like the person.
  • 42:06 - 42:09
    The more you like somebody, the better they look to you.
  • 42:09 - 42:13
    This is why spouses and happy marraiges
  • 42:13 - 42:16
    will honestly find their husband or wife
  • 42:16 - 42:20
    far more attractive than anyone else finds them.
  • 42:20 - 42:22
    This is true more generally.
  • 42:22 - 42:25
    In a classic study, David Bus,
  • 42:25 - 42:29
    tested people from 37 different cultures around the world
  • 42:29 - 42:32
    and asked who is your perfect mate?
  • 42:32 - 42:35
    He was largely looking for sex differences in theses studies
  • 42:35 - 42:36
    and he found them, he found all sorts of differences
  • 42:36 - 42:40
    in what men were looking for and in what women were looking for.
  • 42:40 - 42:43
    But he also found one similarity, one thing
  • 42:43 - 42:46
    one way in which women and men were alike.
  • 42:46 - 42:50
    And this is that for both, the number one quality
  • 42:50 - 42:52
    people were looking for in a mate
  • 42:52 - 42:53
    was kindness.
  • 42:54 - 42:56
    All of this in the domain of sex
  • 42:56 - 42:58
    supports a moral from Shakespeare
  • 42:58 - 43:02
    which is "love looks not with the eyes, but with the mind".
  • 43:07 - 43:10
    What I have done is I have very briefly talked about
  • 43:10 - 43:12
    three case studies in the domain of psychology.
  • 43:12 - 43:14
    I talked about compassion,
  • 43:14 - 43:16
    I talked about racism,
  • 43:16 - 43:18
    and I have talked about sex.
  • 43:19 - 43:21
    In the course of this I've tried to illustrate
  • 43:21 - 43:25
    certain themes in the study of psychology, in general.
  • 43:25 - 43:29
    And in fact I started by listing six domains of psychology.
  • 43:29 - 43:34
    Neuroscience, I started by talking about the babies brain
  • 43:34 - 43:36
    and gave that as a starting point
  • 43:36 - 43:38
    for the question of the development of compassion
  • 43:38 - 43:40
    the development of these other traits.
  • 43:40 - 43:42
    but every domain of psychology every
  • 43:42 - 43:44
    aspect of our mental life
  • 43:44 - 43:46
    is caused by our physical brains.
  • 43:46 - 43:50
    And in fact, in all of these domains I’ve
    talked about, compassion and moral psychology
  • 43:50 - 43:56
    and more general, race and stereotyping and
    thinking about groups, and sex and sexuality,
  • 43:56 - 43:59
    people have used the methods of neuroscience
  • 43:59 - 44:02
    to better understand how the mind works in
    these domains.
  • 44:03 - 44:07
    I’ve talked about development and I focused
    mostly in development on the first case study
  • 44:07 - 44:13
    of compassion, but of course there’s a huge
    amount of very interesting research on the
  • 44:13 - 44:17
    development of our understanding of groups
    asking the question, for instance, are young
  • 44:17 - 44:19
    children racist?
  • 44:19 - 44:21
    Do young children have complicit biases?
  • 44:22 - 44:28
    And of course in the development of romance
    and sexuality, how does the mind of a child
  • 44:28 - 44:34
    before puberty differ and how much is it like
    the mind of an adult after puberty and how
  • 44:34 - 44:35
    did these differs take place?
  • 44:35 - 44:39
    These are extraordinarily interesting developmental
    questions.
  • 44:39 - 44:46
    All three domains connect to social psychology and cognitive psychology in clear ways.
  • 44:46 - 44:50
    They are all questions about social psychology,
    they are all questions about dealing with
  • 44:50 - 44:53
    other people; how we deal with and make sense
    out of other people.
  • 44:53 - 44:59
    And they all connect to questions of cognitive
    psychology, like the perception of faces,
  • 44:59 - 45:06
    the formation of categories, the comprehension
    of stories; those are all central parts of
  • 45:06 - 45:11
    cognitive psychology and central to understanding
    the domains we’ve talked about here.
  • 45:11 - 45:17
    We’ve talked about evolution, particularly
    again, in the case of sexuality.
  • 45:17 - 45:22
    But of course, the evolutionary psychology
    of morality and compassion is a fascinating
  • 45:22 - 45:27
    issues connecting it with research done with
    other primates, our evolutionary relatives
  • 45:27 - 45:30
    like chimpanzees and monkeys.
  • 45:30 - 45:33
    I’ve said the least about clinical psychology.
  • 45:33 - 45:37
    Clinical psychology is extraordinarily interesting
    and also connects to each of the domains that
  • 45:37 - 45:38
    I’ve talked about.
  • 45:38 - 45:42
    People are interested in the psychopathology
    related to sexuality.
  • 45:42 - 45:49
    They’re particularly interested in the psychopathology
    in mental illness in the domain of morality
  • 45:49 - 45:55
    because this connects to one of the most troubling
    and one of the most interesting questions
  • 45:55 - 45:59
    in clinical psychology, which concerns the
    psychopath.
  • 45:59 - 46:05
    There are some of us, apparently, who don’t
    have consciences, who don’t feel compassion,
  • 46:06 - 46:12
    who will destroy other people’s lives out
    of malice or self-interest or simple boredom.
  • 46:13 - 46:18
    And the question of where psychopaths come
    from, what’s the precise nature of what’s
  • 46:18 - 46:20
    going wrong with them.
  • 46:20 - 46:24
    Most of all, what can be done about them are
    issues of extraordinary interest.
  • 46:29 - 46:32
    Psychology is the perfect liberal arts major
  • 46:32 - 46:35
    because it connects across all these interesting disciplines
  • 46:35 - 46:38
    and gives you intellectual tools, tools that we share
  • 46:38 - 46:41
    with philosophers and we share with chemists
  • 46:41 - 46:45
    and we share with people who study english literature.
  • 46:45 - 46:49
    It brings them all together in the project of studying the mind.
  • 46:49 - 46:52
    Every interesting question in psychology is also an
  • 46:52 - 46:55
    interesting question for scholars outside psychology.
  • 47:00 - 47:04
    We've made huge progress over the last many years
  • 47:04 - 47:06
    in understanding mental life.
  • 47:06 - 47:11
    And I think there's no reason to expect this progress to stop.
  • 47:11 - 47:14
    I think that in the end
  • 47:14 - 47:17
    the most important and intimate aspects of ourselves,
  • 47:18 - 47:21
    how we understand people, our emotions, our motivations
  • 47:21 - 47:25
    our desires, our sense of right and wrong.
  • 47:25 - 47:28
    can be understood through the methods of scientific
    psychology
  • 47:28 - 47:30
    through constructing and testing hypotheses.
  • 47:30 - 47:33
    Through bringing to bear considerations
  • 47:33 - 47:34
    based on evolution.
  • 47:34 - 47:38
    and computation and neuroscience.
  • 47:39 - 47:42
    Now, some people might find this a scary prospect.
  • 47:42 - 47:46
    I know that there are some people that worry
    that a scientific perspective of the mind
  • 47:46 - 47:48
    takes away from us somehow.
  • 47:48 - 47:50
    It diminishes us.
  • 47:50 - 47:52
    It makes us less than what we are.
  • 47:52 - 47:53
    I don’t agree.
  • 47:53 - 47:58
    I have the opposite reaction, which is that
    as the more you understand the mind from a
  • 47:58 - 48:03
    serious scientific point of view; the more
    you come to appreciate its complexity, its
  • 48:03 - 48:05
    uniqueness and its beauty.
  • 48:05 - 48:07
    Thank you.
Title:
Paul Bloom: The Psychology of Everything
Description:

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Video Language:
English
Duration:
48:16

English subtitles

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