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The mathematics of love

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    Today I want to talk to you
    about the mathematics of love.
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    I think we can all agree
    that mathematicians
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    are famously excellent
    at finding love.
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    But it's not just because
    of our dashing personalities
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    our superior conversational skills,
    our our excellent pencil cases,
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    It's also because we've done
    a lot of work into the maths
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    of how to find the perfect partner.
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    In my favorite paper on the subject,
    which is entitled,
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    "Why I Don't Have a Girlfriend",
    Peter Backus tries to rate
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    his chances at finding love.
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    Now, peter is not a
    very greedy man.
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    Of all of the available
    women in the UK,
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    all that Peter's looking for is
    somebody who lives near him,
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    somebody in the
    right age range,
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    somebody with a
    university degree,
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    somebody he's likely
    to get on well with,
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    somebody attractive,
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    somebody who is likely
    to find him attractive
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    (Laughter),
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    and comes up with an
    estimate of 26 women
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    in the whole of the UK.
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    It's not looking very good,
    is it Peter?
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    Now just to put that
    into perspective,
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    that's about 400 times fewer
    than the best estimates
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    of how many intelligent
    extra-terrestrial life forms there are.
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    And it also gives Peter a
    1 in 285,000 chance
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    of bumping into any one
    of these special ladies
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    on a night out.
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    I'd like to think that's why
    mathematicians don't really bother
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    going on nights out anymore.
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    The thing is is that I personally
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    don't subscribe to
    such a pessimistic view.
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    I know, just as well
    as you do,
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    that love doesn't
    really work like that
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    human emotion
    isn't neatly ordered,
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    rational, or easily predictable.
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    But I also know that that doesn't
    mean that mathematics
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    doesn't have something
    it can offer us
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    because, love, as
    with most of life,
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    is full of patterns
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    and mathematics is, ultimately,
    all about the study of patterns.
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    patterns from predicting
    the weather,
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    to the fluctuations of
    the stock market,
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    to the movement
    of the planets,
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    or the growth of cities.
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    If we're being honest, none
    of those things are neatly ordered
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    Or easily predictable, either.
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    Because I believe
    that mathematics
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    is so powerful that
    is has the potential
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    to offer us a new way of looking
    at almost anything.
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    Even something as
    mysterious as love.
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    And so, to try
    to persuade you
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    of how totally, excellent
    and relevant mathematics is,
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    I want to give you my top three
    mathematically verifiable tips for love.
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    Okay, so top tip #1:
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    How to win at online dating.
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    So my favorite
    online dating website
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    is OkayCupid,
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    not least because it was
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    started by a group
    of mathematicians.
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    Now because they're
    mathematicians,
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    they have been collecting
    data on everyone
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    whose been using their site
    for almost a decade.
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    And they've been
    trying to search
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    for patterns in the way that
    we talk about ourselves
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    and the way that we
    interact with each other
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    on online dating websites.
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    And they've come up with
    seriously interesting findings.
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    But my particular favorite
    is that it turns out
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    that on an online
    dating website,
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    how attractive you are
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    does not dictate
    how popular you are
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    and actually having people
    think that you're ugly
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    can work to your advantage.
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    Let me show you
    how this works.
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    Okay, in a thankfully
    voluntary section,
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    you are allowed to rate
    how attractive people are
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    between 1 and 5.
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    And if we compare this score,
    this average score
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    to how many messages a
    selection of people receive,
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    You can begin to get a sense
    of how attractiveness
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    links to popularity
    on online dating.
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    So this is a graph
    that the online
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    OkayCupid guys
    have come up with
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    and the important
    thing to notice
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    is that it's not totally true
    that the more attractive you are,
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    the more messages you get.
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    But the question arises then
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    of what is it about people up here
    who are so much more popular
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    than people down here
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    even though they have the
    same score of attractiveness?
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    And the reason why is that it's
    not just straight-forward looks
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    that are important.
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    So let me try to illustrate
    their findings
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    with an example.
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    If you take someone
    like Portia de Rossi,
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    everybody agrees
    that Portia de Rossi
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    is a very beautiful woman.
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    Nobody thinks
    that she's ugly,
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    but she's not a supermodel.
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    If you compare
    Portia de Rossi
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    to someone like
    Sarah Jessica Parker,
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    now, a lot of people,
    myself included,
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    think that Sarah Jessica Parker
    is seriously fabulous
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    and possibly one of the
    most beautiful creatures
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    to have ever have walked
    the face of the earth.
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    But, some other people,
    e.i. most of the internet,
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    seem to think that she
    looks a bit like a horse
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    (Laughter).
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    Now, I think that if
    you ask people
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    how attractive Sarah Jessica Parker
    or Portia de Rossi are,
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    and you ask them to give
    them a score between 1 and 5,
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    I reckon that they would
    average out to the same score.
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    But the way that people would vote
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    would be very different.
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    So Portia's scores would
    all be clustered around
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    the four because everybody
    agrees that she's very beautiful.
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    whereas Sarah Jessica Parker
    divides opinion.
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    There a huge spread
    in her scores.
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    And actually it's this
    spread that counts.
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    It's this spread that
    makes you more popular
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    on online internet
    dating websites.
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    So what this means then
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    is that if some people think
    that you're attractive,
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    you're actually better off
    having some other people
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    think that you're a massive minger.
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    That's much better than
    everybody thinking
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    that you're the cute
    girl next door.
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    i think that this
    makes a bit more sense
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    when you think in terms
    of the people
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    who are sending
    these messages.
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    So let's say that you think
    somebody's attractive
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    but you suspect that
    other people
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    won't necessarily be
    that interested.
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    That means that there is
    less competition for you
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    and that there's
    an extra incentive
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    for you to get in touch.
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    Whereas compare
    that to if you think
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    somebody is attractive
    but you suspect
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    that everybody is going
    to think they're attractive.
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    Well, why would you
    bother humiliating yourself?
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    Here's where the really
    interesting part comes.
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    People choose the pictures that
    they use on an online, dating website,
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    they often try to
    minimize the things
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    that they think people
    will find unattractive.
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    The classic example is that people
    who are a little bit overweight
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    deliberately choosing
    a very cropped photo.
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    or bald men, for example,
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    deliberatly choosing pictures
    where they're wearing hats.
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    But this is the opposite of
    what you should do
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    if you want to be successful.
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    You should really, instead, play
    up to whatever it is
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    that makes you different.
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    Even if you think that
    some people
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    will find you unattractive.
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    Because the people
    who fancy you
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    are just going to
    fancy you anyway,
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    and the unimportant
    losers who don't
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    well, they only play out
    to your advantage.
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    Okay, top tip #2: How to pick
    the perfect partner.
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    So let's imagine then that
    you're a roaring success
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    on the dating scene.
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    But the question arises of
    how do you then convert
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    that success into
    longer-term happiness
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    and in particular,
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    how do you decide when is the
    right time to settle down?
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    Now generally, it's not
    advisable to just cash in
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    on the first person who comes along
    and shows you any interest at all.
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    But, equally, you don't want
    to leave it too long
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    if you want to maximize your
    chances of longterm happiness.
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    As my favorite author,
    Jane Austen put it,
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    "An unmarried woman
    of seven and twenty
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    can never hope to feel or
    inspire affection again."
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    (Laughter).
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    Thanks, Jane.
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    So the question is then,
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    how do you know when
    is the right time
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    to settle down given
    all the people
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    you can date in
    your lifetime?
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    Thankfully, there is a
    rather delicious bit
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    of mathematics that
    we can use to
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    help us out here.
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    So lets imagine then,
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    that you start
    dating when you're 15
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    and ideally, you'd like to be
    married by the time you're 35.
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    The number of people that you
    could potentially date
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    across your lifetime,
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    and they'll be at kind of varying
    levels of goodness.
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    Now the rules are
    that when you cash in
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    and get married,
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    you can't look ahead and see
    what you could have had,
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    and equally, you can't go back
    and change your mind.
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    In my experience at least,
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    i find that people don't typically
    like being recalled
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    years after being
    passed up.
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    For somebody else,
    or that's just me.
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    So the math says then
    that what you should do
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    in the first 37 percent
    of your dating window,
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    you should reject everybody
    as serious marriage potential.
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    And then, you should pick the
    next person who comes along
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    who is better than everyone
    that you've seen before.
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    So here's the example.
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    Now if you do this, it can be
    mathematically proven in fact
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    that this is the best
    possible way of
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    maximizing your chances of
    finding the perfect partner.
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    Now, unfortunately i have to tell
    you that this method
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    does come with some risks.
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    For instance, imagine if your
    perfect partner
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    appeared during your
    first 37 percent.
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    Now unfortunately,
    you'd have to reject them.
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    Now, if you're
    following the maths,
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    I'm afraid that if no one
    else comes along
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    better than anyone
    you've seen before
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    so you have to go
    on rejecting everyone
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    and die alone.
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    (Laughter).
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    Probably surrounded by cats
    nibbling at your remains.
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    Okay, another risk is,
    let's imagine instead
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    that the first people
    that you dated
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    in your first 37 percent are just
    incredibly dull, terrible people.
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    Now, that's okay, cause you're in
    your rejection phase,
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    so you can reject them.
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    But, then imagine that the
    next person who comes along
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    is just marginally less boring,
    dull and terrible
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    than everybody that
    you've seen before.
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    Now, if you are following
    the maths
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    I'm afraid that you have
    to marry them
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    and end up in a relationship
    that is, frankly, suboptimal.
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    Sorry about that.
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    But I do think that there's
    an opportunity here
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    for hallmark to cash in on
    and really cater to this market.
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    with a valentines day
    card like this:
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    "My darling husband, you
    are marginally less terrible
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    than the first 37 percent
    of people I dated."
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    It's actually more romantic
    than I normally manage.
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    Okay, so this method doesn't give
    you a 100 percent success rate.
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    but there's no other possible
    strategy that can do any better.
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    And actually, in the wild
    there are certain
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    types of fish that follow
    this exact strategy.
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    So they reject every possible
    suitor that turns up in
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    in the first 37 percent
    of the mating season,
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    then they
    pick the next fish
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    who comes along after
    that window who is,
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    i don't know, bigger and burlier
    than all the fish that they've seen.
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    I also think that
    subconsciously,
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    humans, we sort of
    do this anyway.
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    We give ourselves enough
    time to play the field,
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    get a feel for the
    marketplace or whatever,
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    when we're young.
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    and then we only start
    looking seriously
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    at potential marriage
    candidates
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    when we hit our
    mid-to-late 20's.
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    I think this is
    conclusive proof,
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    if ever it were needed ,
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    that everybody's brains
    are prewired to be
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    just a little bit mathematical.
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    Okay, so that was top tip #2.
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    Top tip #3: How to avoid divorce.
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    Okay so let's imagine then that you
    picked the perfect partner
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    and you're settling into a
    lifelong relationship with them.
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    Now, I like to think
    that everybody
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    would like to avoid divorce
    from Piers Morgan's wife, maybe?
  • 11:50 - 11:52
    But it's a sad fact
    in modern life
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    that 1 in 2 marriages
    end in divorce,
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    with the rest of the world
    not being far behind.
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    Now, you can be forgiven, perhaps
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    for thinking that the arguments
    that precede a marital breakup
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    are not an ideal candidate
    for mathematical investigation.
  • 12:09 - 12:11
    For one, it's very
    hard to know
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    what you should be measuring
    and what you should be quantifying.
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    But this didn't stop a
    psychologist, John Gottman,
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    who did exactly that.
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    He observed, Gottman observed,
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    hundreds of couples
    having a conversation
  • 12:26 - 12:28
    and recorded well, everything
    you could think of.
  • 12:28 - 12:31
    So he recorded what was said
    in the conversation.
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    He recorded skin conductivity,
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    he recorded their facial expressions,
  • 12:35 - 12:37
    heart rates, their blood pressure
  • 12:37 - 12:43
    basically everything apart from whether
    or ont the wife was always right,
  • 12:43 - 12:45
    which incidentally she totally is.
  • 12:45 - 12:49
    But what Gottman found, what
    Gottman and his team found ,
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    was that one of the
    most important predictors
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    for whether or not a couple
    is going to get divorced
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    is how positive or negative each
    partner was being in the conversation.
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    Now couples that were
    very low risk
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    scored a lot more positive on
    Gottman's scale than negative
  • 13:06 - 13:08
    Whereas bad relationship,
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    as in, those that are probably
    going to get divorced,
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    they found themselves getting
    into a spiral of negativity.
  • 13:16 - 13:18
    Now just by using these
    very simple ideas,
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    Gottman and his group
    were able to predict
  • 13:20 - 13:23
    whether a given couple
    was going to get divorced
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    with a 90 percent accuracy.
  • 13:26 - 13:27
    But it wasn't until he teamed up
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    with a mathematician
    James Murray
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    that they really started to
    understand what caused
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    these negativity spirals
    and how they occur.
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    And the results that
    they found,
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    I think are just incredibly,
    impressively, simple and interesting.
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    So these equations,
    they predict
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    how the wife or husband
    is going to respond
  • 13:47 - 13:49
    in the next turn
    of the conversation,
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    how positive or negative
    they're going to be.
  • 13:50 - 13:52
    And these equations,
    they depend on
  • 13:52 - 13:54
    the mood of the person
    when they're on their own,
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    the mood of the person when they're
    with their partner.
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    But most importantly,
    they depend on
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    how much the husband and wife
    influence one another.
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    Now I think it's important
    to point out that at this stage,
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    these exact equations have
    also been shown
  • 14:08 - 14:10
    to be perfectly able
    to describe
  • 14:10 - 14:14
    what happens between two
    countries in an arms race.
  • 14:14 - 14:18
    (Laughter).
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    So that an arguing couple,
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    spiraling into negativity,
  • 14:22 - 14:24
    teetering on the brink of divorce,
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    is actually mathematically equivalent to
    the beginning of nuclear war.
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    (Laughter).
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    But the really important term
    in this equation
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    is the influence that people
    have on one another,
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    and in particular,
  • 14:37 - 14:39
    something called the
    Negativity Threshhold.
  • 14:39 - 14:41
    Now the Negativity Threshold,
  • 14:41 - 14:45
    you can think of as
    how annoying
  • 14:45 - 14:46
    the husband can be
    before the wife
  • 14:46 - 14:50
    starts to get really pissed of,
    and vice versa.
  • 14:50 - 14:52
    Now I always thought
    that good marriages
  • 14:52 - 14:55
    are about compromise
    and understanding
  • 14:55 - 14:58
    and allowing the person to
    have the space to be themselves.
  • 14:58 - 15:00
    So I would have thought that
  • 15:00 - 15:03
    perhaps the most
    successful relationships
  • 15:03 - 15:04
    are the ones where there is a
    really high Negativity Threshold.
  • 15:04 - 15:06
    Where couples let things go
  • 15:06 - 15:09
    and only brought things up if
    there really were a big deal.
  • 15:09 - 15:12
    But actually, the mathematics
    and subsequent findings
  • 15:12 - 15:15
    by the team have shown the
    exact opposite to be true.
  • 15:15 - 15:18
    The best couples or
    the most successful couples
  • 15:18 - 15:19
    are the ones are the ones
  • 15:19 - 15:22
    with a really low
    Negativity Threshold.
  • 15:22 - 15:25
    These are the couples that don't
    let anything go unnoticed.
  • 15:25 - 15:29
    They allow each other some
    room to complain.
  • 15:29 - 15:29
    These are the couples that are
    continually trying to repair
  • 15:29 - 15:34
    their own relationship,
  • 15:34 - 15:36
    that have a much more positive
    outlook on their marriage.
  • 15:36 - 15:39
    Couples that don't let things go
  • 15:39 - 15:42
    and couples that don't let
    trivial things end up being
  • 15:42 - 15:45
    a really big deal.
  • 15:45 - 15:50
    Now of course, it takes more than
    just a low Negativity Threshold
  • 15:50 - 15:54
    and not compromising to
    have a successful relationship
  • 15:54 - 15:57
    But i think that
    it's quite interesting
  • 15:57 - 15:59
    to know that there is really
    mathematical evidence
  • 15:59 - 16:00
    to support that you
    that you should
  • 16:00 - 16:03
    never let you should go
    down on your anger.
  • 16:03 - 16:04
    So those are my top three tips
  • 16:04 - 16:06
    for how maths can help you
  • 16:06 - 16:07
    with love and relationships.
  • 16:07 - 16:10
    But I hope that aside
    from these tips,
  • 16:10 - 16:12
    they also give you
    a little bit of insight
  • 16:12 - 16:14
    into the power
    of mathematics,
  • 16:14 - 16:15
    because for me,
  • 16:15 - 16:19
    equations and symbols
    aren't just a thing,
  • 16:19 - 16:20
    They are a voice
    that speaks out
  • 16:20 - 16:24
    about the incredible
    richness of nature
  • 16:24 - 16:25
    and the startling simplicity
    in the patterns
  • 16:25 - 16:27
    that twist and turn,
  • 16:27 - 16:29
    and warp and evolve
    around us.
  • 16:29 - 16:31
    From how the world works,
  • 16:31 - 16:33
    to how we behave.
  • 16:33 - 16:33
    So I hope that perhaps,
  • 16:33 - 16:34
    for just a couple of you,
  • 16:34 - 16:37
    a little bit of insight into
    the mathematics of love
  • 16:37 - 16:38
    can persuade
    you to have
  • 16:38 - 16:40
    a little bit more
    love for mathematics.
  • 16:40 - 16:41
    Thank you.
  • 16:41 - 16:44
    (Applause).
Title:
The mathematics of love
Speaker:
Hannah Fry
Description:

more » « less
Video Language:
English
Team:
closed TED
Project:
TEDTalks
Duration:
16:56
  • NG

    Hi English LC,

    At 14:35:88, the word 'threshhold' has an extra 'h'.

    'and in particular, something called
    the negativity threshhold.'

  • The English transcript was updated on 2/28/2017.

English subtitles

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