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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.
-
Because I believe
that mathematics
-
is so powerful that
is has the potential
-
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
-
of how totally, excellent
and relevant mathematics is,
-
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.
-
Now, if you're
following the maths,
-
I'm afraid that if no one
else comes along
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better than anyone
you've seen before
-
so you have to go
on rejecting everyone
-
and die alone.
-
(Laughter).
-
Probably surrounded by cats
nibbling at your remains.
-
Okay, another risk is,
let's imagine instead
-
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,
-
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?
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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.
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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
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and recorded well, everything
you could think of.
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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,
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heart rates, their blood pressure
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basically everything apart from whether
or ont the wife was always right,
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which incidentally she totally is.
-
But what Gottman found, what
Gottman and his team found ,
-
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.
-
Now couples that were
very low risk
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scored a lot more positive on
Gottman's scale than negative
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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.
-
Now just by using these
very simple ideas,
-
Gottman and his group
were able to predict
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whether a given couple
was going to get divorced
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with a 90 percent accuracy.
-
But it wasn't until he teamed up
-
with a mathematician
James Murray
-
that they really started to
understand what caused
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these negativity spirals
and how they occur.
-
And the results that
they found,
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I think are just incredibly,
impressively, simple and interesting.
-
So these equations,
they predict
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how the wife or husband
is going to respond
-
in the next turn
of the conversation,
-
how positive or negative
they're going to be.
-
And these equations,
they depend on
-
the mood of the person
when they're on their own,
-
the mood of the person when they're
with their partner.
-
But most importantly,
they depend on
-
how much the husband and wife
influence one another.
-
Now I think it's important
to point out that at this stage,
-
these exact equations have
also been shown
-
to be perfectly able
to describe
-
what happens between two
countries in an arms race.
-
(Laughter).
-
So that an arguing couple,
-
spiraling into negativity,
-
teetering on the brink of divorce,
-
is actually mathematically equivalent to
the beginning of nuclear war.
-
(Laughter).
-
But the really important term
in this equation
-
is the influence that people
have on one another,
-
and in particular,
-
something called the
Negativity Threshhold.
-
Now the Negativity Threshold,
-
you can think of as
how annoying
-
the husband can be
before the wife
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starts to get really pissed of,
and vice versa.
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Now I always thought
that good marriages
-
are about compromise
and understanding
-
and allowing the person to
have the space to be themselves.
-
So I would have thought that
-
perhaps the most
successful relationships
-
are the ones where there is a
really high Negativity Threshold.
-
Where couples let things go
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and only brought things up if
there really were a big deal.
-
But actually, the mathematics
and subsequent findings
-
by the team have shown the
exact opposite to be true.
-
The best couples or
the most successful couples
-
are the ones are the ones
-
with a really low
Negativity Threshold.
-
These are the couples that don't
let anything go unnoticed.
-
They allow each other some
room to complain.
-
These are the couples that are
continually trying to repair
-
their own relationship,
-
that have a much more positive
outlook on their marriage.
-
Couples that don't let things go
-
and couples that don't let
trivial things end up being
-
a really big deal.
-
Now of course, it takes more than
just a low Negativity Threshold
-
and not compromising to
have a successful relationship
-
But i think that
it's quite interesting
-
to know that there is really
mathematical evidence
-
to support that you
that you should
-
never let you should go
down on your anger.
-
So those are my top three tips
-
for how maths can help you
-
with love and relationships.
-
But I hope that aside
from these tips,
-
they also give you
a little bit of insight
-
into the power
of mathematics,
-
because for me,
-
equations and symbols
aren't just a thing,
-
They are a voice
that speaks out
-
about the incredible
richness of nature
-
and the startling simplicity
in the patterns
-
that twist and turn,
-
and warp and evolve
around us.
-
From how the world works,
-
to how we behave.
-
So I hope that perhaps,
-
for just a couple of you,
-
a little bit of insight into
the mathematics of love
-
can persuade
you to have
-
a little bit more
love for mathematics.
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Thank you.
-
(Applause).
NG
Hi English LC,
At 14:35:88, the word 'threshhold' has an extra 'h'.
'and in particular, something called
the negativity threshhold.'
Krystian Aparta
The English transcript was updated on 2/28/2017.