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The Joy of Stats

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    the world we live in is a wash with data
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    that comes pouring in from everywhere around us
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    on is own this data is just noise and confusion
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    to make sense of data
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    to find the meaning in this
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    we need a powerful brunch of science STATISTICS
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    believe me thats nothing boring about
    statistics , especially not today when we
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    can make the data
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    seen
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    with statistics we can really make
    sense of the world
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    and there is more
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    with statistics that data deluge as it
    been called , is leading us to an ever
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    greater understanding
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    of life on Earth and the Universe beyond
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    and thanks to the incredible power
    of today's computers it may
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    fundamentally transformed the process of
    scientific discovery
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    I kid you not
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    statistics is now the sexiest subject
    around
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    Sztokholm, Szwecja
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    did you know that there is a one million boats in
    Sweden
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    thats one boat per nine people
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    is the highest number of boats per person in Europe
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    Sweden also has .. the most McDonalds per person in Europe
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    ..... the most computers per person in Europe
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    .. the most nuclear reactor per person in Europe
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    being a statistician you dont like telling
    your profession at dinner parties
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    but really
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    statistician shouldn't be shy becouse
    everyone wants to understand whats going on
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    and statystics
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    gives us a perspective on the world we
    live in that we cant get in any other way
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    the average person spends 24 years of their life asleep
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    statistics tells us whether the things we think
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    and believe are actually true
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    most men think theyre better drivers than women
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    but they have almost double the fatal accidens per mile driven
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    a statystics are far more useful
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    than we usually like to admit
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    in the last recession I was listen this
    famous calling to a talk-radiostation
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    the man complain
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    in times like this when unemployment raised up to a thirteen percent and income
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    is fallen by five percent
    and suicide raised up climbing
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    I get so angry that the government
    is wasting money on things like
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    connection of statystics
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    Im not officially a statystician
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    strictly speaking my field is global
    health
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    but i got really obsessed with stats
    when I realized how much people in
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    Sweden just don't know about the
    rest of the world
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    I started in our medical university Karolinska Instytut
    an undergraduate
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    course called global health
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    these students coming to our section at
    the highest grade you can get in the
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    swedish college system so i thought
    maybe they know everything i'm going to
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    teach them about
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    so I did the pretest
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    when they came and one of the question
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    from which I learned a lot was this one: which country has the highest child
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    mortality of this five pairs
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    I wont put you at the test here
    but is Turkey which is highest, there Poland
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    Russia,Pakistan and South Africa
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    and these were the results of the
    swedish students
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    one point eight right answer
    of the five possible
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    that means that there was a place for a
    professor of international health
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    and for my course
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    but one late night when I was compiling
    the report I really realised
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    my discovery , I have shown that swedish top
    students know statisticaly
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    significantly less about the world than
    the chimpanzees
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    because the chimpanzee would score
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    half right, if I gave them two bananas
    which Sri Lanka or Turkey
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    would be right half of the cases
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    but the students are not that. I did also
    an unethical study of the
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    professors of the Karolinska Instytut
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    that hands of Nobel Prize in
    medicine and they are on par with the
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    chimpanzee there
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    today there's more information
    accessible than ever before
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    and I work with my team at the Gapminder Fundation
    using new tools
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    that help everyone make sense of the
    changing world
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    we draw all the masses of data thats now
    freely available from international
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    institutions like the UN and the World Bank
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    and its become my mission to share
    the insights from this data
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    with anyone who listen
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    and to reveal
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    how statistics is nothing to be frighten
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    Im going to provide you a view
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    of the global health situation
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    across mankind
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    and Im going to do that
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    in a hopefully enjoyable way
    so relax
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    so we did this software which displaced it like this
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    every bubble here is a country
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    this is China
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    this is India
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    the size of the bubble is the population and
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    I done the stage of race here
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    between the sort of yellowish Ford here
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    and the red Toyota down there
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    and the brownish Volvo
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    the Toyota has a very bad start down here, and US Ford is going offroad
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    back, and the Volvo is doing quite fine
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    this is the war, the Toyota got off tracking out to our best country
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    coming on to a healthier side of Sweden
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    thats it why I sold the Volvo and both the Toyota
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    may have been drinking forward when
    china phil donahue
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    planning by multiple
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    diners covered in this endeavor more
    student central planning and they were
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    dennis one morning it would be looking
    at
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    united states
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    or they broke my frame
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    washington blvd phil rachel identified
    on the back of the fda_ relating and
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    it makes life interesting
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    when we come to the usa_
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    leaders in
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    cars
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    there are many here who shared my vision
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    public dave accessible in use
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    part everyone
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    the city of san francisco
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    is in the league
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    opening upbeat state government every
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    even the police department is releasing
    olympics crime reports
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    is sufficient crime
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    turned into a wonderfully attractive man
    by two of the city's computer whizzes
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    it's communities that these pics
    connection
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    crime's going as a matter of
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    crime reports from the san francisco
    police department
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    uh... showing young dot sohn maps uh...
    for citizens to be able to see patterns
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    of crime around their neighborhoods in
    san francisco
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    the map is not just about individual
    crimes but about broader patterns the
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    show you where crime is clustered
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    around the city which areas of high
    crimes which a resume relatively low
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    crime
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    me
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    dates
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    don't
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    here at the top of
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    jones street
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    nob hill
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    quite nice neighborhood
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    put the crime maps jealous is the
    relationship between
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    topography attempt to crime
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    this was a higher up the helpful s
    progress
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    to the flats
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    especially as soon as you get into that
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    hello rely areas to demonstrate the
    prime just to skyrocket
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    we're hearing
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    uh... uptown tenderloin district
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    is one of the oldest condenses
    neighborhoods in san francisco
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    this is where you go to buy drugs
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    right around here
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    dissociate lots of uh... aggravated
    assaults lots a lot of thefts
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    basically they're huge part of the car
    that happens in the
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    city happens just by two just viruses
    moderates
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    k
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    can you
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    diffused beam him please sirens in your
    neighborhood you can use them and to
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    find out why
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    if you are denied in an unfamiliar part
    of town deconcini and that was streets
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    to avoid
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    if the neighbor gets bergen and you can
    see isn't the one off why has there been
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    a spike in logan crime
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    you can use their neighborhood and a
    word about its safety
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    the fact that we have the ability to
    turn off all the nighttime in the middle
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    of the day crimes and show you just the
    things that are happening during the
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    commute
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    is a statistical operation
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    but i think to people that are
    interacting with the thing it feels very
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    much more like they're just sort of
    browsing the website or shopping on
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    amazon there their looking at data and
    they don't realize they're doing
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    statistics
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    what's most exciting for me
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    is that public statistics is making
    citizen
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    powerful
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    and the authorities moral compass
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    we have community meetings typically use
    a tent
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    and what citizens are now doing are
    bringing printouts of the maps which
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    show where crimes are taking place and
    they're demanding services from the
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    police department and the police
    department is now having to change how
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    they police
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    how they provide policing services
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    highs and the date is showing what is
    working and what isn't
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    people in san francisco roadster using
    public data to max social inequalities
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    and see how to improve society
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    possibilities parts and
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    i think ur dream
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    government data analysis project would
    really be focused on life information on
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    stuff that was being reported and pushed
    out of the world over the internet as it
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    was happening you know trash pickups
    traffic accidents pluses
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    through the kind of staffs gathering
    power of the internet it's possible to
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    really begin to see that the workings of
    the city's displayed as a unified in
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    advance
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    that's why we are heading
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    towards the world on fri data for the
    former statistical insights that come
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    from it
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    accessible to everyone
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    empowering us as citizens
  • 11:18 - 11:22
    electing household dot rulers to walk
    home
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    along waiting for him as the districts
    began
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    specter's x art is central to our store
    one enter our governments in our society
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    it was all rumors out there was stalked
    in the collection of statistics in the
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    first place the order that wanted to
    asked
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    in fact wind statistics
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    comes from
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    misstate
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    more than statistics began two centuries
    ago
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    one think ought to go in and spread and
    never stop
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    and guess who was fun
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    the chinese have confucius
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    the italians have done vientiane the
    british have shakespeare
  • 12:10 - 12:13
    and we have picked up the elected
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    the first ever systematic collection of
    statistics
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    since the year seventeen forty nine we
    have collected
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    date dot on every
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    that it's a bit
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    and we are proud of
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    the cabin baggage he courted information
    from every parish in sweden
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    it was you
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    quantity of data and it was the first
    time antigovernment
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    could get an accurate picture on xp
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    uh... huh
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    the greatest military power in northern
    new
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    popeye seventeen forty nine always start
    with
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    and other conference growing stronger
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    room armstrong
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    for to have twenty million people
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    enough to rival the britain and frogs
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    de
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    party mood swings and that's this
    impasse
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    analysis of abell back if you need that
    sweet land two million inhabitants
  • 13:25 - 13:28
    singing and playing what what pollen
    decline
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    it also had a very small population
  • 13:31 - 13:38
    the government was horrified by this
    strike what is the enemies
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    opted to have been directed towards the
    showed that many women died in
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    childbirth
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    and many children died young
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    self-government took action to improve
    the health of the people
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    this
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    is the beginning awards and sweet
  • 13:54 - 14:00
    it took more than fifteen years before
    the war strings belgians danes dutch
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    french germans italians
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    playing in the british
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    caught up with sweet and in collecting
    and using statistics
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    it was cool political risks was looking
    for reasons useful statistics
  • 14:30 - 14:35
    don't skip them much more control
    understanding of calls the society house
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    working parents developing and
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    essentially so they could
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    control it
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    guest governments who woke up to the
    following statistics
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    right across your room
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    nineteenth-century societies went and
    that is perfect
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    it
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    despite the state's doctor britton
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    with its royal statistical sense like a
    mom
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    with soon statisticians nearby
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    i loved looking at old copies of the
    rules to cisco such a x's
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    full of sorts polled stuff
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    deserve wonderful papers in eighteen
    forty it's which shows a matter of
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    england
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    and the rates of boston to uni scanty
    and so you can identifier it quickly the
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    areas with high rates of blasted
  • 15:24 - 15:29
    bikini sangeeta toys next recital off
    that norfolk seems to talk to the past
  • 15:29 - 15:33
    decade waiting for tips
  • 15:33 - 15:37
    one of the founders of the royal
    statistical society was the great
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    victoria mathematician an inventor
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    charles bandage
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    in eighteen forty two he read the latest
    poll unbiased equally great victorian
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    and for intensive
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    vision of the scene contain the lines
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    feel a cop
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    and feel like i don't have a rollins
    before the morning
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    every moment dot is a man every moment
    one is bold
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    sloppiness that decision was about the
    ch
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    that he could not containing the cell's
    he dashed off a letter to tennis on
  • 16:10 - 16:14
    explaining that the course of population
    growth the lines should reach
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    every moment dot is a man and one under
    sixteen is born
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    and he added that the except finger is
    one point zero six seven but something
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    must be conceded to the north of meat
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    in the nineteenth century scholars or we
    work to do
  • 16:36 - 16:39
    mason work in mission missile sites
  • 16:39 - 16:43
    they were holding update almost
    everything
  • 16:43 - 16:46
    but numbers of the dylan ten minutes
  • 16:46 - 16:48
    you have to animal house
  • 16:48 - 16:55
    and that's what makes the tasks
  • 16:55 - 17:00
    you're when the first statisticians
    began to get to greet swimming analyzing
  • 17:00 - 17:01
    the data
  • 17:01 - 17:03
    pcs upon the average
  • 17:03 - 17:08
    according to the average of everyone
    with
  • 17:08 - 17:15
    that what's so great the bottom have
    reached is that you can take a mass
  • 17:15 - 17:22
    something and use it to the single
    numbers and googling
  • 17:22 - 17:28
    and we trust is unique collected lines
    reviews have reduced their content price
  • 17:28 - 17:35
    for populations
  • 17:35 - 17:39
    mhm
  • 17:39 - 17:44
    with unhooked it might have called
    newspaper
  • 17:44 - 17:46
    and short tensioner
  • 17:46 - 17:49
    exhorting people to fulfill accelerated
  • 17:49 - 17:53
    crashed her friend against all
  • 17:53 - 17:55
    devastating hideous
  • 17:55 - 17:57
    powerful sink
  • 17:57 - 18:00
    none of the second one
  • 18:00 - 18:04
    the young man he didn't have a driving
    license was driving a car under the
  • 18:04 - 18:08
    influence of drugs and alcohol
  • 18:08 - 18:10
    questions that the district
  • 18:10 - 18:12
    was remarkable
  • 18:12 - 18:14
    absolutely remarkable
  • 18:14 - 18:16
    field at the number
  • 18:16 - 18:17
    the people who die
  • 18:17 - 18:19
    each year
  • 18:19 - 18:20
    in traffic crashes
  • 18:20 - 18:25
    incendiary a constant
  • 18:25 - 18:27
    all these individual dents
  • 18:27 - 18:29
    somehow when you some of them all up
  • 18:29 - 18:30
    stays the same number
  • 18:30 - 18:32
    every year
  • 18:32 - 18:33
    and every year
  • 18:33 - 18:36
    two-and-a-half times as many men
  • 18:36 - 18:39
    traffic crashes since women and it's a
    constant
  • 18:39 - 18:40
    and every year
  • 18:40 - 18:43
    the rich indulgent estoppel
  • 18:43 - 18:45
    to reaching into it
  • 18:45 - 18:48
    that these remarkable regularities
  • 18:48 - 18:49
    so that
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    individual particular things
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    sum up sum up into a social phenomena
  • 18:57 - 19:00
    let's see what's we then have done the
    houston post about
  • 19:00 - 19:04
    that social programs that's where we
    were reminded shift attention a little
  • 19:04 - 19:05
    bit changing running
  • 19:05 - 19:11
    and averages from entire country when is
    the average income tried mechanically
  • 19:11 - 19:13
    family size and called the marshall
  • 19:13 - 19:15
    but they are getting up
  • 19:15 - 19:16
    billy wright was a bit
  • 19:16 - 19:18
    singapore advice toddler
  • 19:18 - 19:21
    defeat is the most probably found in the
    world
  • 19:21 - 19:24
    marshall and only played should be a
    real if looking at the time for them to
  • 19:24 - 19:28
    get independent but then they started to
    grow the economy and they made a social
  • 19:28 - 19:30
    investment they caught the wave in the
    area
  • 19:30 - 19:33
    throughout the magnificent help system
    that he could help you with this
  • 19:33 - 19:40
    remember never forget what i had nothing
    on the
  • 19:42 - 19:42
    useful
  • 19:42 - 19:49
    as averages are safe don't tell you the
    whole story
  • 19:49 - 19:50
    on average
  • 19:50 - 19:53
    swedish people i was like a less than
    two x
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    this is because a few people only have
    one leg or no legs
  • 19:57 - 19:58
    and no one
  • 19:58 - 20:00
    affiliate
  • 20:00 - 20:03
    almost everybody in sweden
  • 20:03 - 20:07
    has more blended average number alexis
  • 20:07 - 20:14
    variation that guy's yes those important
    that the other
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    but how do you get a handle on millions
  • 20:19 - 20:24
    for this to transform numbers into
    shapes
  • 20:24 - 20:29
    next look again at the number of adult
    women in sweden for heath heights
  • 20:29 - 20:31
    looking digitizes shade
  • 20:31 - 20:37
    shows how much they are heights vary
    from the average in hawaii blackberries
  • 20:37 - 20:39
    the shape to set the date that makes its
    way
  • 20:39 - 20:42
    if distribution
  • 20:42 - 20:46
    this if the income distribution all
    shylock nineteen seventy
  • 20:46 - 20:50
    this is being done here is the jewish
    and or the united states nineteen
  • 20:50 - 20:54
    seventy-eight almost no overlap and what
    has happened
  • 20:54 - 20:59
    china's growing it's not so equal any
    longer and he's appearing here
  • 20:59 - 21:01
    overlooking the united states
  • 21:01 - 21:08
    almost like a ghost isn't it time
    previous get a
  • 21:17 - 21:23
    physician-assisted slow distribution
    systems once she says to himself says
  • 21:23 - 21:26
    the states
  • 21:26 - 21:30
    dance card president on the south
    estimated
  • 21:30 - 21:33
    he did the machine that could be a
    producer
  • 21:33 - 21:37
    and he found thinking so many different
    sets of nationalist betty mehendi than
  • 21:37 - 21:40
    normal distribution
  • 21:40 - 21:43
    sleepless pieces arms
  • 21:43 - 21:44
    non-cancerous
  • 21:44 - 21:47
    or stephen beard families
  • 21:47 - 21:52
    the normal distribution shaped return
    time and time again
  • 21:52 - 21:57
    under statisticians soon from any on the
    regulations
  • 21:57 - 22:02
    each produced by a particular kind of
    natural or social
  • 22:02 - 22:04
    everest at the station
  • 22:04 - 22:06
    their favorite
  • 22:06 - 22:10
    fossil distribution procedure is raised
    by favorite distribution texas absolute
  • 22:10 - 22:16
    crap done
  • 22:16 - 22:20
    inquest solution a describes how likely
    it is that out of the ordinary things
  • 22:20 - 22:26
    will happen emotional on the muscle what
    we know that when everybody gets revises
  • 22:26 - 22:30
    enough we won't lose again three buses
    and gruesome
  • 22:30 - 22:35
    amazingly the partial shade please show
    us the probability that in any given our
  • 22:35 - 22:40
    word when we get four five or six months
    is one of us is the time
  • 22:40 - 22:44
    the exact shape changes pediatrics
  • 22:44 - 22:48
    but whether it's how many people will
    win the lottery check
  • 22:48 - 22:53
    or how many people in the former cold
    symptoms mimic plus one shape we give
  • 22:53 - 22:58
    the probabilities
  • 22:58 - 23:01
    the wonderful example but this was
    applied to the late nineteenth century
  • 23:01 - 23:05
    was to can teach she is the number of
    prashant offices calorie offices and
  • 23:05 - 23:07
    kicked to death by the horses
  • 23:07 - 23:11
    as some use of the nuns and here's the
    ones from his too
  • 23:11 - 23:14
    up to seven i think one ticking died
    here
  • 23:14 - 23:20
    and buttons distribution permanent
    bizarre taf crushing cavalry officer
  • 23:20 - 23:22
    skip taft cases
  • 23:22 - 23:25
    usually obey the constitution
  • 23:25 - 23:32
    just
  • 23:35 - 23:37
    tests
  • 23:37 - 23:42
    cert
  • 23:42 - 23:43
    going
  • 23:43 - 23:47
    so statisticians use she c you then
  • 23:47 - 23:53
    candidate ability using images of warmth
    kinds to communicate statistics to a
  • 23:53 - 23:55
    wider public
  • 23:55 - 23:56
    because
  • 23:56 - 23:58
    it's a story in the numbers
  • 23:58 - 24:04
    he's told by a beautiful and clever
    image thank everyone understand
  • 24:04 - 24:07
    of the pioneers of statistically
    graphics
  • 24:07 - 24:14
    my favorite is florence unlike
  • 24:23 - 24:26
    tire they're not many people don't
    realize it actually she was there was a
  • 24:26 - 24:28
    passion statistician
  • 24:28 - 24:31
    and not just of a vehicle out
  • 24:31 - 24:35
    she said that understand god's thoughts
    we must study statistics but these are
  • 24:35 - 24:37
    the measure of his purpose
  • 24:37 - 24:42
    it's just it's less river villages
    detailer alternative
  • 24:42 - 24:46
    flashes nine-years-old she started
    collecting data heard it was different
  • 24:46 - 24:51
    fruits and vegetables she felt prelim
    into different tables trying to organize
  • 24:51 - 24:55
    them in some standard for so we have one
    of the playing fields first to school
  • 24:55 - 25:02
    tables at the age of mine
  • 25:05 - 25:08
    immediately fifties florence nightingale
  • 25:08 - 25:12
    went to the crime he had to cancel
    british cash infusion
  • 25:12 - 25:15
    she was forty five i want to discuss
  • 25:15 - 25:18
    these soldiers being blown to bits on
    the battlefield
  • 25:18 - 25:22
    there were many many more soldiers dying
    from the sees his state court in the
  • 25:22 - 25:26
    armies filthy hostels
  • 25:26 - 25:29
    so florence nightingale began compton
    content
  • 25:29 - 25:36
    for two years she recorded mortality
    data unique too touristy
  • 25:36 - 25:41
    it was over she persuaded the government
    to set up a royal commission of inquiry
  • 25:41 - 25:45
    and gathered her dating devastating
    report
  • 25:45 - 25:48
    this amended took place in the
    statistically history books
  • 25:48 - 25:50
    on the graphics shields
  • 25:50 - 25:52
    and one in particular
  • 25:52 - 25:54
    the polar area graph
  • 25:54 - 25:57
    for each month of the war
  • 25:57 - 26:00
    usually low wage represented the
    soldiers who are dying from preventable
  • 26:00 - 26:02
    disease
  • 26:02 - 26:05
    much more of a bridges more deaths from
  • 26:05 - 26:08
    owns and the plaque wages
  • 26:08 - 26:11
    deaths from accidents and public works
  • 26:11 - 26:14
    nineteen days graphics mercele cleaner
  • 26:14 - 26:15
    me working
  • 26:15 - 26:17
    possible treatment
  • 26:17 - 26:20
    the usual cigarette from start to get
    storms just adjust
  • 26:20 - 26:25
    tables in tables and figures are you've
    got to really tedious stocks that unless
  • 26:25 - 26:28
    you're actually dedicated statisticians
    will be quite difficult spot the patents
  • 26:28 - 26:29
    quite naturally
  • 26:29 - 26:31
    but an visualizations
  • 26:31 - 26:35
    they tell a story to tell a story
    immediately and use of color
  • 26:35 - 26:36
    and usage schenk
  • 26:36 - 26:40
    you do to really tell a powerful story
    and now it is of course we can make
  • 26:40 - 26:41
    things move as well
  • 26:41 - 26:45
    for such here would love to have played
    with should have been
  • 26:45 - 26:50
    jews wonderful animation semantics
  • 26:50 - 26:51
    ru
  • 26:51 - 26:54
    today a hundred and fifty years old
  • 26:54 - 26:58
    nightingale is graphics are rightly
    regarded as a class in
  • 26:58 - 27:02
    they lead to a revolution in nursing
    health care in hygiene hospitals
  • 27:02 - 27:07
    worldwide wheat cv innumerable times
    that
  • 27:07 - 27:12
    the statistical graphics has become an
    art form where it's a very old learned
  • 27:12 - 27:17
    by deciding to restore passionate about
    it is relaxing there
  • 27:17 - 27:20
    will lure
  • 27:20 - 27:23
    remember more
  • 27:23 - 27:27
    in rice's two billion pounds are ground
  • 27:27 - 27:31
    this image arose frustration with the
    reporting of
  • 27:31 - 27:34
    billion panna medicine a media fire in
    japan in pounds for this war
  • 27:34 - 27:38
    fifty billion pounds this or still
    doesn't common sense is known as the two
  • 27:38 - 27:41
    enormous to get your mind round source
    craigslist data from various news
  • 27:41 - 27:43
    sources in trade the star graham
  • 27:43 - 27:49
    squares hero scaled according to the
    billion pan-am outs
  • 27:49 - 27:52
    we see numbers visualize like this
  • 27:52 - 27:54
    the start of a different kind of
    relationship with them
  • 27:54 - 27:57
    uh... because of see patterns you see
    the scale of them
  • 27:57 - 28:00
    here at the corner this little square
    thirty seven billion
  • 28:00 - 28:03
    i was the cost projected cost iraq war
    in two thousand three
  • 28:03 - 28:05
    as you can see it's grown exponentially
  • 28:05 - 28:07
    of the last few years
  • 28:07 - 28:08
    so the total cost house around about
  • 28:08 - 28:11
    two thousand five hundred billion
  • 28:11 - 28:15
    it's funny 'cause when you visualize two
    sticks on this you understand them when
  • 28:15 - 28:16
    you understand them
  • 28:16 - 28:23
    you can really start puts things into
    perspective
  • 28:25 - 28:29
    we should learn stations right at the
    heart of my own walked to
  • 28:29 - 28:31
    i teach global health
  • 28:31 - 28:34
    and i know having the data is not enough
  • 28:34 - 28:40
    i have to show it in ways people both
    enjoy and i understand
  • 28:40 - 28:45
    i'm going to try something i've never
    done before animating the dating really
  • 28:45 - 28:46
    stinks
  • 28:46 - 28:51
    with a bit of technical assistance from
    the crew
  • 28:51 - 28:52
    so here we go
  • 28:52 - 28:54
    first taxes for help
  • 28:54 - 28:56
    life expectancy
  • 28:56 - 29:02
    from twenty-five years seventy-five
    years and out here access for work
  • 29:02 - 29:03
    income per person
  • 29:03 - 29:04
    four hundred
  • 29:04 - 29:07
    four thousand and forty thousand dollars
  • 29:07 - 29:10
    so down here
  • 29:10 - 29:11
    and sick
  • 29:11 - 29:16
    and cop here is rich and health
  • 29:16 - 29:19
    i want to show the world two hundred
    years ago
  • 29:19 - 29:21
    in eighteen ten
  • 29:21 - 29:23
    here come all the countries
  • 29:23 - 29:26
    you know ground station away hideously
  • 29:26 - 29:30
    acrobats tells us army or and the
    american deal
  • 29:30 - 29:34
    and the soyuz over the country bubble
    soulless eyes of the population
  • 29:34 - 29:39
    and eighteen ten it is pretty crowded
    down there wasn't it congress were
  • 29:39 - 29:43
    sickened pork life expectancy will be
    lost
  • 29:43 - 29:47
    in oregon please everyting you kate and
    then the lance was like it better off
  • 29:47 - 29:49
    not much
  • 29:49 - 29:50
    and now
  • 29:50 - 29:53
    wise dot the world
  • 29:53 - 29:57
    industrial revolution makes companies in
    europe and elsewhere
  • 29:57 - 29:59
    move away from the rest
  • 29:59 - 30:04
    apologize countries in asia and africa
    best backed down there
  • 30:04 - 30:09
    and eventually the western countries get
    healthier and healthier
  • 30:09 - 30:14
    and now we slow down to show the impact
    on the first world war and the spanish
  • 30:14 - 30:16
    flu epidemic
  • 30:16 - 30:19
    what does it
  • 30:19 - 30:23
    and now i speed up through the nineteen
    twenties and the nineteen thirties and
  • 30:23 - 30:27
    in spite of the great depression was to
    come visit for john doe was greater
  • 30:27 - 30:33
    wealth and helped and some others try to
    follow but most interesting down here
  • 30:33 - 30:37
    up often the tragedies of the second
    world war we stop a bit to look at the
  • 30:37 - 30:40
    world in nineteen forty eight
  • 30:40 - 30:42
    nineteen forty eight was a great year
  • 30:42 - 30:44
    the war was over
  • 30:44 - 30:48
    sweden topped the metal table at the
    winter olympics and i was born
  • 30:48 - 30:49
    buffet differences
  • 30:49 - 30:53
    between the congress of the world was
    wider than ever
  • 30:53 - 30:57
    united states was in the frog japan was
    catching up
  • 30:57 - 31:02
    brazil is way behind iran was getting a
    little richard from lloyd but still had
  • 31:02 - 31:03
    short life
  • 31:03 - 31:06
    and dictation giants
  • 31:06 - 31:10
    china india pakistan bangladesh in
    indonesia and they were still poor
  • 31:10 - 31:11
    instinct on here
  • 31:11 - 31:13
    but he'll play is about to happen
  • 31:13 - 31:14
    gila delegate
  • 31:14 - 31:19
    in my lifetime former colonies gained
    independence and then finally they
  • 31:19 - 31:24
    starting to get healthier and healthy it
    and healthier and in the nineteen
  • 31:24 - 31:25
    seventies
  • 31:25 - 31:28
    then countries indication that the
    american student of catch up with the
  • 31:28 - 31:30
    western countries the meeting with me
  • 31:30 - 31:35
    emerging economies sunny method of
    follows some african rostock in civil
  • 31:35 - 31:40
    war and i was hit by a charity and now
    we can see the wall today in the most
  • 31:40 - 31:43
    up-to-date statistics
  • 31:43 - 31:46
    most people today in the mid
  • 31:46 - 31:49
    but then you should get friends at the
    same time between them
  • 31:49 - 31:52
    best of congress and the worst of cuts
  • 31:52 - 31:52
    and i will say
  • 31:52 - 31:55
    lives in the qualities with the income
  • 31:55 - 31:59
    these problems shel country average s
    but i just think that
  • 31:59 - 32:02
    they china i can split it into provinces
  • 32:02 - 32:06
    bearing goes shanghai
  • 32:06 - 32:11
    it is the same boat as it related and a
    interpol reliant on those white show it
  • 32:11 - 32:13
    is like pakistan
  • 32:13 - 32:15
    any text picket fence
  • 32:15 - 32:20
    the rural parts are like calling africa
  • 32:20 - 32:21
    and yet
  • 32:21 - 32:25
    despite the enormous disparities to date
    we have seen two hundred years of
  • 32:25 - 32:27
    remarkable progress
  • 32:27 - 32:32
    that's a huge historical gap between the
    west and the rest is not closed eight
  • 32:32 - 32:36
    we have become an entirely new
    converging world
  • 32:36 - 32:40
    and i see it clearly friend into the
    future we can you need to treat a green
  • 32:40 - 32:44
    technology and bs its full impossible
    that everyone can make it to the healthy
  • 32:44 - 32:49
    wealthy corner
  • 32:49 - 32:50
    wenjie dot c
  • 32:50 - 32:54
    for the last few minutes is a story of
    two hundred congress
  • 32:54 - 32:57
    showing over two hundred years and
    beyond
  • 32:57 - 32:58
    it involve plotting on
  • 32:58 - 33:01
    one hundred and twenty thousand numbers
  • 33:01 - 33:08
    pretty neat
  • 33:08 - 33:09
    so
  • 33:09 - 33:13
    with statistics we can begin to see
    things as they really are
  • 33:13 - 33:17
    from tables update dental and reduce
    these tributions and issuing this
  • 33:17 - 33:23
    nation's statistics gives us a clear
    description of the world
  • 33:23 - 33:29
    athletes distinctly cannot only
    discovered much is happening
  • 33:29 - 33:36
    bottles explore why by using the
    powerful analytical method correlation
  • 33:36 - 33:38
    just looking at one thing at the time is
    intended for
  • 33:38 - 33:42
    you've got to look at the relationships
    between finance has a chance to have a
  • 33:42 - 33:43
    very together
  • 33:43 - 33:47
    in that sport correlation is a pack and
    that's why i stopped trying to
  • 33:47 - 33:53
    understand to crysis is that they're
    really going on in the world in society
  • 33:53 - 33:57
    most of us today would recognize that
    crying correlates to poverty
  • 33:57 - 34:00
    that infection correlates to poor
    sanitation
  • 34:00 - 34:07
    and that knowledge of statistics
    correlates to being great at balancing
  • 34:07 - 34:11
    relations can be very pretty
  • 34:11 - 34:13
    i got a joke about silly correlations
  • 34:13 - 34:16
    that was that the american i was afraid
    of a heart attack
  • 34:16 - 34:19
    and he found out that the japanese
  • 34:19 - 34:23
    the marriage of fat
  • 34:23 - 34:26
    action this heart attacks than the
    american
  • 34:26 - 34:27
    but on the other hand
  • 34:27 - 34:29
    also follow up with a friend
  • 34:29 - 34:33
    eat as much practically americans and
    they want to know why
  • 34:33 - 34:40
    also and less artifacts
  • 34:42 - 34:45
    this next round of the lead
    groundbreaking coronation
  • 34:45 - 34:49
    is the link that was established in the
    nineteen fifties between smoking and
  • 34:49 - 34:51
    lung cancer
  • 34:51 - 34:54
    notlong after the second world war
  • 34:54 - 34:56
    a british doctors reach abroad
  • 34:56 - 35:00
    investigated lung cancer patient in
    twenty long on hospitals
  • 35:00 - 35:04
    and he became system that the only thing
    they have in common with smoking
  • 35:04 - 35:06
    so certain
  • 35:06 - 35:07
    she stopped smoking inside
  • 35:07 - 35:09
    on the page
  • 35:09 - 35:11
    runs social
  • 35:11 - 35:14
    moderates a discussion of the early days
    just
  • 35:14 - 35:18
    linking smoking to lung cancer
    simplicial smoking shortly that thing
  • 35:18 - 35:22
    that we've come about life's account be
    bad for you
  • 35:22 - 35:24
    maybe it's jeans
  • 35:24 - 35:28
    maybe people would genetically
    predisposed to get lung cancer are also
  • 35:28 - 35:33
    genetically predisposed to smoke
  • 35:33 - 35:37
    maybe it's not the smoking maybe its air
    pollution
  • 35:37 - 35:42
    that smokers are somehow more exposed to
    air pollution non-smokers
  • 35:42 - 35:43
    maybe it's not
  • 35:43 - 35:45
    smoking maybe it's public
  • 35:45 - 35:52
    so now we've got three alternate
    explanations apart from chance
  • 35:52 - 35:54
    parties coronation
  • 35:54 - 35:58
    digging flight cause-and-effect returned
    on created the biggest existed to study
  • 35:58 - 36:00
    of smoking thing
  • 36:00 - 36:04
    he began cracking the life some forty
    thousand british dot
  • 36:04 - 36:07
    some of whom smoke and some of whom did
  • 36:07 - 36:10
    and get this enough data to acquire
    anything in mind
  • 36:10 - 36:14
    if the doctor smoke within likelihood of
    getting cancer
  • 36:14 - 36:18
    eventually he not only showed a
    correlation between smoking and lung
  • 36:18 - 36:23
    cancer platforms to a correlation
    between stopping smoking and reducing
  • 36:23 - 36:24
    the risk
  • 36:24 - 36:29
    this messiahs at its best
  • 36:29 - 36:31
    what correlations do not replace
  • 36:31 - 36:33
    he's human sort
  • 36:33 - 36:36
    good think about what it means
  • 36:36 - 36:40
    knew what a good scientist has if he
    comes up with the correlation
  • 36:40 - 36:41
    ease
  • 36:41 - 36:45
    try as hard as she or he possibly can to
    disprove it
  • 36:45 - 36:47
    to break it down to get rid of it
  • 36:47 - 36:49
    to try and refute it
  • 36:49 - 36:53
    and if it was stones all those efforts
  • 36:53 - 36:56
    demolishing it and it's still standing
    out
  • 36:56 - 37:01
    then cautiously say weary might have
    something here
  • 37:01 - 37:03
    bernard
  • 37:03 - 37:06
    bed
  • 37:06 - 37:09
    benetton
  • 37:09 - 37:14
    character
  • 37:14 - 37:17
    ho
  • 37:17 - 37:22
    henry lee and the scientist date that is
    to be able to jim and finance
  • 37:22 - 37:27
    the good news is that the more we had
    the more correlations will find the more
  • 37:27 - 37:28
    theories will test
  • 37:28 - 37:35
    and the more discoveries that we are
    likely to make
  • 37:36 - 37:41
    and history shows park total sum of the
    information bruising usually keeps as we
  • 37:41 - 37:43
    develop new technologies
  • 37:43 - 37:47
    the mention of the printing press kicked
    off the first day an information
  • 37:47 - 37:49
    explosion
  • 37:49 - 37:53
    he complained about the glove the books
    that i mean print by the year is
  • 37:53 - 37:55
    seventeen hundred
  • 37:55 - 38:02
    didn't make six this tax each as high is
    montane forest
  • 38:02 - 38:05
    then starting in the nineteenth century
  • 38:05 - 38:08
    they came a second information
    revolution
  • 38:08 - 38:12
    with the telegraph gramophone and can
    later
  • 38:12 - 38:14
    radio and tv
  • 38:14 - 38:17
    to obtain long-term information exploded
  • 38:17 - 38:21
    them by the nineteen fifties the
    information available to us all
  • 38:21 - 38:26
    had multiplied six thousand pints
  • 38:26 - 38:30
    thanks to the computer linked to the
    independently went digital
  • 38:30 - 38:37
    mainland of belize we have now he's
    wanting mentioned the
  • 38:39 - 38:44
    seemed a little denoble politically than
    right
  • 38:44 - 38:51
    printed page pete wilson killed by
  • 38:51 - 38:53
    five megabytes enough of it
  • 38:53 - 38:57
    people aren't insured
  • 38:57 - 38:59
    pending dot lights
  • 38:59 - 39:06
    that's a dvd movies
  • 39:06 - 39:10
    to metabolize is himself millions off of
    things
  • 39:10 - 39:15
    faceplate everyday
  • 39:15 - 39:20
    stoplights is the data recorder every
    second by the world's largest particle
  • 39:20 - 39:25
    accelerator so much higher tiny
    fractions
  • 39:25 - 39:27
    six exabytes
  • 39:27 - 39:34
    is what you have secrecy
  • 39:38 - 39:40
    but we had that's not good
  • 39:40 - 39:44
    in two thousand nine the internet added
    up to five hundred except and in two
  • 39:44 - 39:48
    thousand to in yes the here
  • 39:48 - 39:55
    stepping down to more than what is it
    that way
  • 39:55 - 39:57
    back in the world
  • 39:57 - 40:00
    here to tell all this data into print
  • 40:00 - 40:03
    it would make ninety stacks of both
  • 40:03 - 40:08
    sandy treat you from here and all the
    way you do this
  • 40:08 - 40:11
    dazed and then you just answering
  • 40:11 - 40:18
    with today's computers and statistics
    i'm confident we can handle it
  • 40:18 - 40:22
    when it comes to on the date on the
    internet powerhouse of statistical
  • 40:22 - 40:29
    analysis is the silicon valley giant
  • 40:33 - 40:38
    the average person over their lifetime
    is exposed to about a hundred million
  • 40:38 - 40:43
    words conversation so if you multiply
    that by the six billion people on the
  • 40:43 - 40:44
    planet data
  • 40:44 - 40:48
    brown words about the world to the
    number of words that will has available
  • 40:48 - 40:52
    to that he wants to talk
  • 40:52 - 40:54
    whose computers happen
  • 40:54 - 40:59
    finally every document webpage in image
    they can find
  • 40:59 - 41:05
    fagan hunt for patents and correlations
    in all this date dot doing statistics on
  • 41:05 - 41:07
    them that sixty
  • 41:07 - 41:08
    and for me
  • 41:08 - 41:12
    will be has one project that the
    particular excite statistical language
  • 41:12 - 41:15
    translation
  • 41:15 - 41:20
    who wanted to provide access to all the
    winds information matter what languages
  • 41:20 - 41:23
    there's just so much information on the
    internet you can help
  • 41:23 - 41:28
    to translate it all bike and into every
    possible language we figured we'd have
  • 41:28 - 41:33
    to be able to do machine translation
  • 41:33 - 41:37
    in the past program has tried to teach
    their computers to free speech language
  • 41:37 - 41:40
    as the system dramatically lose
  • 41:40 - 41:43
    much like the women which is much more
    difficult
  • 41:43 - 41:44
    his feet in front
  • 41:44 - 41:49
    because no one set the rules to cash in
    online which informix subtlety in
  • 41:49 - 41:51
    ambiguity
  • 41:51 - 41:53
    having eaten hot lunch
  • 41:53 - 41:55
    because depart
  • 41:55 - 41:57
    well that's all this weekend correct
  • 41:57 - 42:01
    written like that it would imply that
    the coach has eaten lunch
  • 42:01 - 42:04
    it will be far letters
  • 42:04 - 42:06
    having eating my lunch
  • 42:06 - 42:09
    we departed in the collection
  • 42:09 - 42:10
    those rules are helpful
  • 42:10 - 42:14
    and they are are useful most the time
    but they don't turn out that the true
  • 42:14 - 42:19
    all the time ten the insight using
    statistical machine translation
  • 42:19 - 42:23
    is saying wealthy gotta have all these
    exceptions anyways maybe you can get by
  • 42:23 - 42:27
    without having its wheels maybe he can
    treat everything as an exception nasa
  • 42:27 - 42:34
    says we want to
  • 42:38 - 42:42
    but the computer is doing when when he's
    learning how to translate is too low
  • 42:42 - 42:47
    in correlations between boats and
    correlations between phrases so we'd be
  • 42:47 - 42:50
    we feed this system very large amounts
    of data
  • 42:50 - 42:54
    and then the system is seeing that uh...
    certain good research the phrase
  • 42:54 - 42:59
    correlates very often to the other
    language
  • 42:59 - 43:00
    websites
  • 43:00 - 43:05
    parents office translation between in
    your fifty seven different languages
  • 43:05 - 43:10
    it does this purely a statistically
    having correlated the huge collection of
  • 43:10 - 43:12
    multilingual texans
  • 43:12 - 43:16
    the people to build the system don't
    need to know chinese in order to the
  • 43:16 - 43:20
    chinese strings just a little beaten
    noah rebekah but the expertise that's
  • 43:20 - 43:24
    needed is basically knowledge of
    statistics knowledge of computer science
  • 43:24 - 43:28
    that knowledge of infrastructure to bolt
    those very large computational systems
  • 43:28 - 43:30
    that we are building for doing that
  • 43:30 - 43:34
    okay so then i'm going to invite yahoo
    com political good from my office in
  • 43:34 - 43:35
    stockholm
  • 43:35 - 43:41
    to try the translator for myself
  • 43:41 - 43:44
    okay
  • 43:44 - 43:46
    linden
  • 43:46 - 43:50
    or
  • 43:50 - 43:54
    located so it says remains finance
    ministers appointed
  • 43:54 - 43:57
    and a gold ring in your your
  • 43:57 - 44:04
    so here's the problem is that if you're
    a cash
  • 44:06 - 44:09
    rockport fat cats
  • 44:09 - 44:13
    starts
  • 44:13 - 44:14
    from school
  • 44:14 - 44:16
    na
  • 44:16 - 44:18
    these corp
  • 44:18 - 44:22
    and his same sex partnerships as
    stockholm snoopy shop and his partners
  • 44:22 - 44:25
    three-years-old
  • 44:25 - 44:27
    hume
  • 44:27 - 44:29
    expire
  • 44:29 - 44:31
    except after bachchan
  • 44:31 - 44:36
    okay so so that's uh... those kinds of
    riches and her one of the challenges in
  • 44:36 - 44:40
    in translation to be really does
    frighten theater kathleen sharp slide
  • 44:40 - 44:43
    you excuse me
  • 44:43 - 44:45
    causing more often than not it would
    probably be it is
  • 44:45 - 44:46
    crack
  • 44:46 - 44:51
    or the fact that madison i do you do you
    do it would be all that and wallet dot
  • 44:51 - 44:55
    oc oxford
  • 44:55 - 45:00
    cream when sweeney's taking part in a
    pickle it's not to win but to be below
  • 45:00 - 45:01
    which
  • 45:01 - 45:05
    that yes the
  • 45:05 - 45:07
    cartwright
  • 45:07 - 45:10
    uh... drug-related
  • 45:10 - 45:11
    xd
  • 45:11 - 45:12
    atpase
  • 45:12 - 45:14
    i don't
  • 45:14 - 45:15
    aspect
  • 45:15 - 45:17
    apart by fax
  • 45:17 - 45:20
    partnerships chuck
  • 45:20 - 45:21
    controlled lead real good
  • 45:21 - 45:26
    but if they succeed with what's next
    that'll be a remarkable
  • 45:26 - 45:30
    one other exciting possibilities is
    combining machine translation technology
  • 45:30 - 45:32
    with the speech recognition technology
  • 45:32 - 45:35
    now both of these are statistical in
    nature them
  • 45:35 - 45:38
    machine translation relies on the
    statistics
  • 45:38 - 45:40
    of mapping from one language to another
  • 45:40 - 45:45
    personally speech recognition relies on
    the statistics of matt mapping from a
  • 45:45 - 45:47
    sound form to the words
  • 45:47 - 45:49
    when we put them together
  • 45:49 - 45:53
    now we have the capability of having
    instant conversation between two people
  • 45:53 - 45:58
    that don't speak a common lecture that
    uh... i can talk to you in my language
  • 45:58 - 46:03
    you hear me in your language and you can
    answer back and in real time you can
  • 46:03 - 46:04
    make that translation
  • 46:04 - 46:11
    can bring to get people together and
    allow them to speak
  • 46:21 - 46:25
    the intimate is just one how many
    technologies
  • 46:25 - 46:28
    created together massive amounts of data
  • 46:28 - 46:33
    scientists studying our send our
    environment
  • 46:33 - 46:38
    now use and implantable ancients
    instruments to mention the processes up
  • 46:38 - 46:42
    our plans
  • 46:42 - 46:49
    all around us are sensors continuously
    measuring temperature water flow
  • 46:50 - 46:55
    and high in order to our satellites busy
    engaging cloud formations forest growth
  • 46:55 - 46:57
    and snow cover
  • 46:57 - 47:01
    scientists beacons instrument in the
    uh...
  • 47:01 - 47:03
    not
  • 47:03 - 47:08
    and pointing up to the skies above are
    powerful new telescopes connecting the
  • 47:08 - 47:15
    universe
  • 47:19 - 47:22
    what's happening in last commonly
  • 47:22 - 47:29
    east difficult how profoundly different
    torrent update dot is transforming side
  • 47:29 - 47:34
    astronomers on our interesting man in
    june mysteries of the cost must
  • 47:34 - 47:37
    compliance peacekeeping net
  • 47:37 - 47:44
    all these new delhi
  • 47:49 - 47:52
    because he's a very big place things got
    billions of stars in it
  • 47:52 - 47:57
    and so to put together a coherent
    picture of the whole galaxy requires
  • 47:57 - 47:59
    cutting enormous amount of data
  • 47:59 - 48:03
    and before you could you afford sky
    survey with sensitive diesel detectors
  • 48:03 - 48:07
    that meant that you could matt many many
    stars all once is very difficult to
  • 48:07 - 48:14
    build up enough data on the for the past
  • 48:14 - 48:19
    in the past launch surveys of the night
    sky had to be done by exposing thousands
  • 48:19 - 48:22
    of large photographic dates
  • 48:22 - 48:29
    off these thirties scoop takes twenty
    five years or more to compete
  • 48:29 - 48:33
    then in the nineteen nineties came
    digital a strong
  • 48:33 - 48:39
    region increasing both moms and the
    accessibility affairs
  • 48:39 - 48:43
    the slow in the sky survey is the
    world's biggest yes
  • 48:43 - 48:48
    using a massive digital sensor mounted
    on the back of a custom-built
  • 48:48 - 48:50
    telescoping new mexico
  • 48:50 - 48:54
    it stand the sky indictments tonight
    forty two years
  • 48:54 - 48:59
    building up a complicit picture in
    unprecedented resolutions
  • 48:59 - 49:03
    sort of some of the best steepest survey
    data that we have in stock
  • 49:03 - 49:10
    those on our own galaxy anand until he
    sees further away from us
  • 49:13 - 49:16
    school the slow moving test is on the
    internet
  • 49:16 - 49:22
    and we did astronomers have identifying
    millions of users to unknown stars and
  • 49:22 - 49:23
    galaxies
  • 49:23 - 49:26
    you want to call on the fifteenth of
    these
  • 49:26 - 49:32
    for statistical actions which we proved
    disprove or even suggested new theories
  • 49:32 - 49:37
    so we have decided it galaxies grounding
    becomes florence county cities like the
  • 49:37 - 49:39
    one we live in a teammate
  • 49:39 - 49:44
    uh... not all at once we're not smoothly
    specter five continuously
  • 49:44 - 49:47
    incorporating beasley cannibalizing
  • 49:47 - 49:50
    of smaller galaxies be dissolved and
    then they become part of under the
  • 49:50 - 49:55
    guidance systems
  • 49:55 - 50:02
    is a startling idea and you still need
    to is the evidence to support
  • 50:02 - 50:06
    groups of stars that came from
    cannibalized galaxies stunned often
  • 50:06 - 50:08
    assume they kept
  • 50:08 - 50:13
    artistically different prabhat the stars
    because they move acted different
  • 50:13 - 50:15
    each day despite
  • 50:15 - 50:18
    when one of these distribution graphs
  • 50:18 - 50:19
    means professional policy
  • 50:19 - 50:24
    has found a group of stars or travelling
    in a different way to the list
  • 50:24 - 50:30
    error that tell-tale patterns she's
    looking for
  • 50:30 - 50:32
    the evidence is accumulating
  • 50:32 - 50:36
    uh... this really is how galaxies girl
    born in portland int l tells his ground
  • 50:36 - 50:40
    and so this is an important part of of
    understanding how galaxies form not only
  • 50:40 - 50:46
    are posted every gals
  • 50:46 - 50:49
    more database the more discoveries can
    be made
  • 50:49 - 50:52
    and the technology is getting better all
    the
  • 50:52 - 50:57
    the next big survey telescope starts at
    seventeen twenty fifty
  • 50:57 - 51:00
    do you still need docs
  • 51:00 - 51:07
    slowed mistaken eighty years still
    covered one quarter of the night sky
  • 51:07 - 51:08
    the new tenants
  • 51:08 - 51:11
    with gandhi and tires scott
  • 51:11 - 51:13
    in even greater to resolution
  • 51:13 - 51:20
    every three days
  • 51:24 - 51:27
    the foster mom something still we have
    today
  • 51:27 - 51:30
    allows researchers inform sorts of
    fields
  • 51:30 - 51:33
    test this theory is on the previously i
    mean
  • 51:33 - 51:36
    mentioned in this case
  • 51:36 - 51:39
    but more than this it's many even change
    that
  • 51:39 - 51:43
    condiment in ways insist
  • 51:43 - 51:45
    with the power of today's computers up
  • 51:45 - 51:48
    plied to all these things too
  • 51:48 - 51:55
    and she was might even able to try to
    convince
  • 52:04 - 52:06
    potentially profoundly in
  • 52:06 - 52:07
    portant
  • 52:07 - 52:10
    potential and the significance
  • 52:10 - 52:13
    princeton science person even the most
    exciting
  • 52:13 - 52:15
    waste
  • 52:15 - 52:19
    the potential to transform officer
    powell scientist do science but even
  • 52:19 - 52:24
    more sciences possible on what will come
    with a constellation court
  • 52:24 - 52:28
    both house and she's done for the war
    science as possible discreetly
  • 52:28 - 52:32
    compensation
  • 52:32 - 52:37
    many of the dynamics of the natural
    world nike interplay between the rain
  • 52:37 - 52:41
    forest and the atmosphere are still
    complex but we don't answer the agreed
  • 52:41 - 52:43
    on the staff
  • 52:43 - 52:47
    now computers are generating literally
    tens of thousands of different
  • 52:47 - 52:53
    simulations the hoa fees biological
    systems might work dislike creating
  • 52:53 - 52:59
    thousands of a hypothetical part of the
    world's each and every one of the
  • 52:59 - 53:04
    simulations his analyzed with statistics
    to see if any part of good match will
  • 53:04 - 53:07
    report is observed in nature
  • 53:07 - 53:11
    the computers can now put domestic
    degenerate
  • 53:11 - 53:13
    and discard hypothesis
  • 53:13 - 53:18
    with scarcely humans
  • 53:18 - 53:22
    east new application six six
  • 53:22 - 53:24
    often divided for future science
  • 53:24 - 53:26
    is creating a new
  • 53:26 - 53:29
    paradigm if you like
  • 53:29 - 53:32
    in science midway between conducive
    names
  • 53:32 - 53:35
    which is increasingly
  • 53:35 - 53:38
    between my country rises
  • 53:38 - 53:40
    data centric or data driven
  • 53:40 - 53:41
    ryland being
  • 53:41 - 53:44
    hypothesis driven or experiment retreat
  • 53:44 - 53:48
    so is exciting times in terms of the
    science in terms of that
  • 53:48 - 53:50
    computations
  • 53:50 - 53:57
    and in terms of the statistics
  • 53:58 - 54:02
    now we thought that sounds a bit
    abstract inferior to continue
  • 54:02 - 54:05
    how about one final frontier
  • 54:05 - 54:11
    good statistics even make sense of your
    feelings
  • 54:11 - 54:12
    in california
  • 54:12 - 54:17
    wariness one computer scientist is
    harvesting the internet to try to do you
  • 54:17 - 54:24
    find the patterns alvaro innermost
    thoughts and emotions
  • 54:34 - 54:37
    well this is the madness with madison
  • 54:37 - 54:40
    represents a skyscraper views the world
  • 54:40 - 54:42
    each of these brightly colored dots
  • 54:42 - 54:44
    is an individual feelings
  • 54:44 - 54:46
    expressed by someone out there
  • 54:46 - 54:48
    blog artery
  • 54:48 - 54:51
    and when you click on a diet explodes
  • 54:51 - 54:54
    to have revealed the underlying feelings
    doctors
  • 54:54 - 54:57
    this is what people say they're feeling
  • 54:57 - 55:01
    batter
  • 55:01 - 55:08
    well
  • 55:15 - 55:18
    so every minute we feel fine calls the
    world's blogs
  • 55:18 - 55:22
    case all the sentences that start with
    the words aren't feeling feel
  • 55:22 - 55:25
    interest them in the database
  • 55:25 - 55:27
    we collect all the feelings
  • 55:27 - 55:29
    and week at the most common
  • 55:29 - 55:36
    they're better
  • 55:38 - 55:39
    the same
  • 55:39 - 55:41
    lecture
  • 55:41 - 55:48
    sorry
  • 55:48 - 55:51
    and we can take a look at anyone feeling
    in analyzing
  • 55:51 - 55:54
    right now a lot of people are feeling
    happy
  • 55:54 - 55:57
    we can take a look at all the people who
    are happy
  • 55:57 - 56:00
    and breakdown by age gender or location
  • 56:00 - 56:04
    says bloggers have public profiles we
    have that information and so we can ask
  • 56:04 - 56:06
    questions like
  • 56:06 - 56:08
    are women happier than men
  • 56:08 - 56:15
    isn't happy with that the united states
  • 56:19 - 56:21
    we find that as people get older
  • 56:21 - 56:24
    make you happier
  • 56:24 - 56:25
    and moreover we find that
  • 56:25 - 56:27
    for younger people
  • 56:27 - 56:29
    this as the happiness
  • 56:29 - 56:31
    more with exciting
  • 56:31 - 56:33
    and as people get water
  • 56:33 - 56:40
    this essay happiness more peaceful
  • 56:41 - 56:45
    and we also find that women feel love
    tomorrow
  • 56:45 - 56:47
    also more guilty
  • 56:47 - 56:50
    moments could more often than women
  • 56:50 - 56:56
    about someone
  • 56:56 - 56:59
    as people even more and more of their
    lives on line
  • 56:59 - 57:02
    really behind digital traces
  • 57:02 - 57:04
    and with these digital traces
  • 57:04 - 57:07
    became deeply into the statistic
    re-energize
  • 57:07 - 57:14
    what it means to be sure
  • 57:41 - 57:43
    so where does all of this leave office
  • 57:43 - 57:48
    we generate i mean mention of the
    quantities of data about everything you
  • 57:48 - 57:49
    can think of
  • 57:49 - 57:52
    analyzing to review the at it's
  • 57:52 - 57:53
    amount
  • 57:53 - 57:56
    not only expert but all of us
  • 57:56 - 58:03
    understand the stories in the mail
  • 58:07 - 58:13
    instead of being led astray by prejudice
    with statistics at our fingertips
  • 58:13 - 58:18
    alliance can be opened for a fact based
    you whatever
  • 58:18 - 58:23
    more than every before we can become all
    sorts of are all the best it's pretty
  • 58:23 - 58:30
    exciting isn't it
  • 58:31 - 58:32
    stay here
  • 58:32 - 58:39
    the with
  • 58:41 - 58:48
    he indeed
  • 58:54 - 58:54
    seyi
Title:
The Joy of Stats
Description:

Documentary which takes viewers on a rollercoaster ride through the wonderful world of statistics to explore the remarkable power they have to change our understanding of the world, presented by superstar boffin Professor Hans Rosling, whose eye-opening, mind-expanding and funny online lectures have made him an international internet legend.

more » « less
Video Language:
English
Duration:
59:13
Adam Biernacki edited Swahili subtitles for The Joy of Stats
Adam Biernacki edited Swahili subtitles for The Joy of Stats
Adam Biernacki edited Swahili subtitles for The Joy of Stats
Adam Biernacki edited Swahili subtitles for The Joy of Stats
Adam Biernacki edited Swahili subtitles for The Joy of Stats
Adam Biernacki edited Swahili subtitles for The Joy of Stats
Adam Biernacki edited Swahili subtitles for The Joy of Stats
Adam Biernacki edited Swahili subtitles for The Joy of Stats
Show all

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