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Let my dataset change your mindset

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    I'm going to talk about your mindset.
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    Does your mindset correspond to my dataset?
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    (Laughter)
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    If not, one or the other needs upgrading, isn't it?
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    When I talk to my students about global issues,
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    and I listen to them in the coffee break,
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    they always talk about "we" and "them."
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    And when they come back into the lecture room
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    I ask them, "What do you mean with "we" and "them"?
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    "Oh, it's very easy. It's the western world and it's the developing world," they say.
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    "We learned it in college."
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    And what is the definition then? "The definition?
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    Everyone knows," they say.
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    But then you know, I press them like this.
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    So one girl said, very cleverly, "It's very easy.
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    Western world is a long life in a small family.
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    Developing world is a short life in a large family."
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    And I like that definition, because it enabled me
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    to transfer their mindset
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    into the dataset.
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    And here you have the dataset.
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    So, you can see that what we have on this axis here
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    is size of family. One, two, three, four, five
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    children per woman on this axis.
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    And here, length of life, life expectancy,
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    30, 40, 50.
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    Exactly what the students said was their concept about the world.
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    And really this is about the bedroom.
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    Whether the man and woman decide to have small family,
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    and take care of their kids, and how long they will live.
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    It's about the bathroom and the kitchen. If you have soap, water and food, you know,
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    you can live long.
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    And the students were right. It wasn't that the world consisted --
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    the world consisted here, of one set of countries over here,
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    which had large families and short life. Developing world.
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    And we had one set of countries up there
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    which was the western world.
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    They had small families and long life.
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    And you are going to see here
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    the amazing thing that has happened in the world during my lifetime.
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    Then the developing countries applied
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    soap and water, vaccination.
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    And all the developing world started to apply family planning.
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    And partly to USA who help to provide
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    technical advice and investment.
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    And you see all the world moves over to a two child family,
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    and a life with 60 to 70 years.
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    But some countries remain back in this area here.
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    And you can see we still have Afghanistan down here.
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    We have Liberia. We have Congo.
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    So we have countries living there.
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    So the problem I had
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    is that the worldview that my students had
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    corresponds to reality in the world
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    the year their teachers were born.
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    (Laughter)
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    (Applause)
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    And we, in fact, when we have played this over the world.
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    I was at the Global Health Conference here in Washington last week,
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    and I could see the wrong concept
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    even active people in United States had,
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    that they didn't realize the improvement
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    of Mexico there, and China, in relation to United States.
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    Look here when I move them forward.
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    Here we go.
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    They catch up. There's Mexico.
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    It's on par with United States in these two social dimensions.
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    There was less than five percent
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    of the specialists in Global Health that was aware of this.
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    This great nation, Mexico,
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    has the problem that arms are coming from North,
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    across the borders, so they had to stop that,
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    because they have this strange relationship to the United States, you know.
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    But if I would change this axis here,
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    I would instead put income per person.
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    Income per person. I can put that here.
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    And we will then see
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    a completely different picture.
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    By the way, I'm teaching you
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    how to use our website, Gapminder World,
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    while I'm correcting this,
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    because this is a free utility on the net.
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    And when I now finally got it right,
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    I can go back 200 years in history.
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    And I can find United States up there.
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    And I can let the other countries be shown.
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    And now I have income per person on this axis.
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    And United States only had some, one, two thousand dollars at that time.
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    And the life expectancy was 35 to 40 years,
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    on par with Afghanistan today.
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    And what has happened in the world, I will show now.
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    This is instead of studying history
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    for one year at university.
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    You can watch me for one minute now and you'll see the whole thing.
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    (Laughter)
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    You can see how the brown bubbles, which is west Europe,
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    and the yellow one, which is the United States,
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    they get richer and richer and also
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    start to get healthier and healthier.
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    And this is now 100 years ago,
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    where the rest of the world remains behind.
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    Here we come. And that was the influenza.
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    That's why we are so scared about flu, isn't it?
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    It's still remembered. The fall of life expectancy.
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    And then we come up. Not until
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    independence started.
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    Look here You have China over there,
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    you have India over there,
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    and this is what has happened.
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    Did you note there, that we have Mexico up there?
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    Mexico is not at all on par with the United States,
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    but they are quite close.
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    And especially, it's interesting to see
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    China and the United States
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    during 200 years,
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    because I have my oldest son now working for Google,
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    after Google acquired this software.
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    Because in fact, this is child labor. My son and his wife sat in a closet
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    for many years and developed this.
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    And my youngest son, who studied Chinese in Beijing.
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    So they come in with the two perspectives I have, you know?
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    And my son, youngest son who studied in Beijing,
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    in China, he got a long-term perspective.
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    Whereas when my oldest son, who works for Google,
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    he should develop by quarter, or by half-year.
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    Or Google is quite generous, so he can have one or two years to go.
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    But in China they look generation after generation
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    because they remember
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    the very embarrassing period, for 100 years,
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    when they went backwards.
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    And then they would remember the first part
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    of last century, which was really bad,
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    and we could go by this so-called Great Leap Forward.
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    But this was 1963.
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    Mao Tse-Tung eventually brought health to China,
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    and then he died, and then Deng Xiaoping started
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    this amazing move forward.
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    Isn't it strange to see that the United States
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    first grew the economy, and then gradually got rich?
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    Whereas China could get healthy much earlier,
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    because they applied the knowledge of education, nutrition,
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    and then also benefits of penicillin
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    and vaccines and family planning.
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    And Asia could have social development
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    before they got the economic development.
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    So to me, as a public health professor,
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    it's not strange that all these countries grow so fast now.
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    Because what you see here, what you see here
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    is the flat world of Thomas Friedman,
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    isn't it.
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    It's not really, really flat.
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    But the middle income countries --
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    and this is where I suggest to my students,
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    stop using the concept "developing world."
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    Because after all, talking about the developing world
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    is like having two chapters in the history of the United States.
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    The last chapter is about present, and president Obama,
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    and the other is about the past,
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    where you cover everything from Washington
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    to Eisenhower.
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    Because Washington to Eisenhower,
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    that is what we find in the developing world.
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    We could actually go to Mayflower
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    to Eisenhower,
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    and that would be put together into a developing world,
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    which is rightly growing its cities in a very amazing way,
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    which have great entrepreneurs,
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    but also have the collapsing countries.
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    So, how could we make better sense about this?
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    Well, one way of trying is to see whether we could
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    look at income distribution.
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    This is the income distribution of peoples in the world,
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    from $1. This is where you have food to eat.
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    These people go to bed hungry.
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    And this is the number of people.
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    This is $10, whether you have a public or a private
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    health service system. This is where you can
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    provide health service for your family and school for your children,
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    and this is OECD countries:
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    Green, Latin America, East Europe.
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    This is East Asia, and the light blue there is South Asia.
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    And this is how the world changed.
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    It changed like this.
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    Can you see how it's growing? And how hundreds of millions
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    and billions is coming out of poverty in Asia?
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    And it goes over here?
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    And I come now, into projections,
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    but I have to stop at the door of Lehman Brothers there, you know, because --
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    (Laughter)
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    that's where the projections are not valid any longer.
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    Probably the world will do this.
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    and then it will continue forward like this.
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    But more or less, this is what will happen,
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    and we have a world which cannot be looked upon as divided.
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    We have the high income countries here,
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    with the United States as a leading power;
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    we have the emerging economies in the middle,
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    which provide a lot of the funding for the bailout;
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    and we have the low income countries here.
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    Yeah, this is a fact that from where the money comes,
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    they have been saving, you know, over the last decade.
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    And here we have the low income countries
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    where entrepreneurs are.
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    And here we have the countries in collapse and war,
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    like Afghanistan, Somalia, parts of Congo, Darfur.
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    We have all this at the same time.
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    That's why it's so problematic to describe what has happened
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    in the developing world.
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    Because it's so different, what has happened there.
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    And that's why I suggest
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    a slightly different approach of what you would call it.
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    And you have huge differences within countries also.
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    I heard that your departments here were by regions.
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    Here you have Sub-Saharan Africa, South Asia,
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    East Asia, Arab states,
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    East Europe, Latin America, and OECD.
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    And on this axis, GDP.
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    And on this, heath, child survival,
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    and it doesn't come as a surprise
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    that Africa south of Sahara is at the bottom.
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    But when I split it, when I split it
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    into country bubbles,
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    the size of the bubbles here is the population.
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    Then you see Sierra Leone and Mauritius, completely different.
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    There is such a difference within Sub-Saharan Africa.
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    And I can split the others. Here is the South Asian,
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    Arab world.
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    Now all your different departments.
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    East Europe, Latin America, and OECD countries.
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    And here were are. We have a continuum in the world.
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    We cannot put it into two parts.
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    It is Mayflower down here. It is Washington here,
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    building, building countries.
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    It's Lincoln here, advancing them.
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    It's Eisenhower bringing modernity into the countries.
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    And then it's United States today, up here.
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    And we have countries all this way.
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    Now, this is the important thing
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    of understanding how the world has changed.
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    At this point I decided to make a pause.
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    (Laughter)
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    And it is my task, on behalf of the rest of the world,
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    to convey a thanks to the U.S. taxpayers,
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    for Demographic Health Survey.
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    Many are not aware of -- no, this is not a joke.
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    This is very serious.
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    It is due to USA's continuous sponsoring
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    during 25 years of the very good methodology
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    for measuring child mortality
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    that we have a grasp of what's happening in the world.
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    (Applause)
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    And it is U.S. government at its best,
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    without advocacy, providing facts,
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    that it's useful for the society.
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    And providing data free of charge
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    on the internet, for the world to use. Thank you very much.
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    Quite the opposite of the World Bank,
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    who compiled data with government money,
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    tax money, and then they sell it to add a little profit,
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    in a very inefficient, Gutenberg way.
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    (Applause)
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    But the people doing that at the World Bank
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    are among the best in the world.
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    And they are highly skilled professionals.
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    It's just that we would like to upgrade our international agencies
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    to deal with the world in the modern way, as we do.
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    And when it comes to free data and transparency,
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    United States of America is one of the best.
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    And that doesn't come easy from the mouth of a Swedish public health professor.
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    (Laughter)
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    And I'm not paid to come here, no.
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    I would like to show you what happens with the data,
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    what we can show with this data.
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    Look here. This is the world.
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    With income down there and child mortality.
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    And what has happened in the world?
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    Since 1950, during the last 50 years
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    we have had a fall in child mortality.
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    And it is the DHS that makes it possible to know this.
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    And we had an increase in income.
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    And the blue former developing countries
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    are mixing up with the former industrialized western world.
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    We have a continuum. But we still have, of course,
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    Congo, up there. We still have as poor countries
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    as we have had, always, in history.
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    And that's the bottom billion, where we've heard today
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    about a completely new approach to do it.
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    And how fast has this happened?
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    Well, MDG 4.
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    The United States has not been so eager
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    to use MDG 4.
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    But you have been the main sponsor that has enabled us to measure it,
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    because it's the only child mortality that we can measure.
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    And we used to say that it should fall four percent per year.
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    Let's see what Sweden has done.
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    We used to boast about fast social progress.
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    That's where we were, 1900.
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    1900, Sweden was there.
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    Same child mortality as Bangladesh had, 1990,
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    though they had lower income.
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    They started very well. They used the aid well.
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    They vaccinated the kids. They get better water.
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    And they reduced child mortality,
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    with an amazing 4.7 percent per year. They beat Sweden.
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    I run Sweden the same 16 year period.
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    Second round, it's Sweden, 1916,
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    against Egypt, 1990.
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    Here we go. Once again the USA is part of the reason here.
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    They get safe water, they get food for the poor,
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    and they get malaria eradicated.
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    5.5 percent. They are faster than the millennium development goal.
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    And third chance for Sweden, against Brazil here.
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    Brazil here has amazing social improvement
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    over the last 16 years,
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    and they go faster than Sweden.
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    This means that the world is converging.
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    The middle income countries,
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    the emerging economy, they are catching up.
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    They are moving to cities,
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    where they also get better assistance for that.
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    Well the Swedish students protest at this point.
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    They say, "This is not fair,
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    because these countries had vaccines and antibiotics
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    that were not available for Sweden.
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    We have to do real-time competition."
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    Okay. I give you Singapore, the year I was born.
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    Singapore had twice the child mortality of Sweden.
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    It's the most tropical country in the world,
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    a marshland on the equator.
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    And here we go. It took a little time for them to get independent.
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    But then they started to grow their economy.
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    And they made the social investment. They got away malaria.
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    They got a magnificent health system
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    that beat both the U.S. and Sweden.
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    We never thought it would happen that they would win over Sweden!
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    (Applause)
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    All these green countries are achieving millennium development goals.
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    These yellow are just about to be doing this.
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    These red are the countries that doesn't do it, and the policy has to be improved.
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    Not simplistic extrapolation.
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    We have to really find a way
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    of supporting those countries in a better way.
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    We have to respect the middle income countries
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    on what they are doing.
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    And we have to fact-base the whole way we look at the world.
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    This is dollar per person. This is HIV in the countries.
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    The blue is Africa.
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    The size of the bubbles is how many are HIV affected.
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    You see the tragedy in South Africa there.
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    About 20 percent of the adult population are infected.
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    And in spite of them having quite a high income,
  • 16:00 - 16:03
    they have a huge number of HIV infected.
  • 16:03 - 16:06
    But you also see that there are African countries down here.
  • 16:06 - 16:10
    There is no such thing as an HIV epidemic in Africa.
  • 16:10 - 16:13
    There's a number, five to 10 countries in Africa
  • 16:13 - 16:16
    that has the same level as Sweden and United States.
  • 16:16 - 16:18
    And there are others who are extremely high.
  • 16:18 - 16:21
    And I will show you that what has happened
  • 16:21 - 16:25
    in one of the best countries, with the most vibrant economy
  • 16:25 - 16:28
    in Africa and a good governance, Botswana.
  • 16:28 - 16:30
    They have a very high level. It's coming down.
  • 16:30 - 16:32
    But now it's not falling,
  • 16:32 - 16:34
    because there, with help from PEPFAR,
  • 16:34 - 16:37
    it's working with treatment. And people are not dying.
  • 16:37 - 16:40
    And you can see it's not that easy,
  • 16:40 - 16:43
    that it is war which caused this.
  • 16:43 - 16:45
    Because here, in Congo, there is war.
  • 16:45 - 16:48
    And here, in Zambia, there is peace.
  • 16:48 - 16:51
    And it's not the economy. Richer country has a little higher.
  • 16:51 - 16:53
    If I split Tanzania in its income,
  • 16:53 - 16:55
    the richer 20 percent in Tanzania
  • 16:55 - 16:57
    has more HIV than the poorest one.
  • 16:57 - 17:00
    And it's really different within each country.
  • 17:00 - 17:02
    Look at the provinces of Kenya. They are very different.
  • 17:02 - 17:05
    And this is the situation you see.
  • 17:05 - 17:08
    It's not deep poverty. It's the special situation,
  • 17:08 - 17:11
    probably of concurrent sexual partnership
  • 17:11 - 17:14
    among part of the heterosexual population
  • 17:14 - 17:16
    in some countries, or some parts of countries,
  • 17:16 - 17:18
    in south and eastern Africa.
  • 17:18 - 17:21
    Don't make it Africa. Don't make it a race issue.
  • 17:21 - 17:25
    Make it a local issue. And do prevention at each place,
  • 17:25 - 17:27
    in the way it can be done there.
  • 17:27 - 17:30
    So to just end up,
  • 17:30 - 17:33
    there are things of suffering
  • 17:33 - 17:36
    in the one billion poorest, which we don't know.
  • 17:36 - 17:38
    Those who live beyond the cellphone,
  • 17:38 - 17:40
    those who have yet to see a computer,
  • 17:40 - 17:43
    those who have no electricity at home.
  • 17:43 - 17:45
    This is the disease, Konzo, I spent 20 years
  • 17:45 - 17:47
    elucidating in Africa.
  • 17:47 - 17:52
    It's caused by fast processing of toxic cassava root in famine situation.
  • 17:52 - 17:56
    It's similar to the pellagra epidemic in Mississippi in the '30s.
  • 17:56 - 17:59
    It's similar to other nutritional diseases.
  • 17:59 - 18:01
    It will never affect a rich person.
  • 18:01 - 18:04
    We have seen it here in Mozambique.
  • 18:04 - 18:07
    This is the epidemic in Mozambique. This is an epidemic in northern Tanzania.
  • 18:07 - 18:09
    You never heard about the disease.
  • 18:09 - 18:11
    But it's much more than Ebola
  • 18:11 - 18:13
    that has been affected by this disease.
  • 18:13 - 18:15
    Cause crippling throughout the world.
  • 18:15 - 18:17
    And over the last two years,
  • 18:17 - 18:19
    2,000 people has been crippled
  • 18:19 - 18:21
    in the southern tip of Bandundu region.
  • 18:21 - 18:23
    That used to be the illegal diamond trade,
  • 18:23 - 18:26
    from the UNITA-dominated area in Angola.
  • 18:26 - 18:28
    That has now disappeared,
  • 18:28 - 18:30
    and they are now in great economic problem.
  • 18:30 - 18:33
    And one week ago, for the first time,
  • 18:33 - 18:36
    there were four lines on the Internet.
  • 18:36 - 18:39
    Don't get confused of the progress of the emerging economies
  • 18:39 - 18:42
    and the great capacity
  • 18:42 - 18:44
    of people in the middle income countries
  • 18:44 - 18:46
    and in peaceful low income countries.
  • 18:46 - 18:48
    There is still mystery in one billion.
  • 18:48 - 18:50
    And we have to have more concepts
  • 18:50 - 18:53
    than just developing countries and developing world.
  • 18:53 - 18:56
    We need a new mindset. The world is converging,
  • 18:56 - 18:59
    but -- but -- but not the bottom billion.
  • 18:59 - 19:02
    They are still as poor as they've ever been.
  • 19:02 - 19:07
    It's not sustainable, and it will not happen around one superpower.
  • 19:07 - 19:09
    But you will remain
  • 19:09 - 19:12
    one of the most important superpowers,
  • 19:12 - 19:15
    and the most hopeful superpower, for the time to be.
  • 19:15 - 19:17
    And this institution
  • 19:17 - 19:19
    will have a very crucial role,
  • 19:19 - 19:21
    not for United States, but for the world.
  • 19:21 - 19:24
    So you have a very bad name,
  • 19:24 - 19:26
    State Department. This is not the State Department.
  • 19:26 - 19:28
    It's the World Department.
  • 19:28 - 19:30
    And we have a high hope in you. Thank you very much.
  • 19:30 - 19:35
    (Applause)
Title:
Let my dataset change your mindset
Speaker:
Hans Rosling
Description:

Talking at the US State Department this summer, Hans Rosling uses his fascinating data-bubble software to burst myths about the developing world. Look for new analysis on China and the post-bailout world, mixed with classic data shows.

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Video Language:
English
Team:
closed TED
Project:
TEDTalks
Duration:
19:37
TED edited English subtitles for Let my dataset change your mindset
TED added a translation

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