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There are some things in life
that you just don't see coming.
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The world is random, unpredictable.
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Unlikely things can happen.
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So, are you blessed
with good fortune?
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Or are you...
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..one of the unlucky ones?
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But maybe there is a way
through this mess of chance.
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Maybe the secret to being lucky
is in trusting the maths.
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APPLAUSE
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CHEERING
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Good evening, everyone!
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My name is Hannah Fry.
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Welcome to the Royal Institution
Christmas Lectures.
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And let's start as we mean to go on.
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So, who wants to be our first
volunteer for the evening?
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Let's get you, there. If you want to
come down. In the pink jumper.
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Round of applause as she comes to
the stage! Thank you!
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What's your name? Megan. Megan.
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OK, Megan, how are you feeling
today? You feeling lucky? Yeah.
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OK, good. All right. If you just
want to come here,
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just stand just there.
Now, Megan, above your head...
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AUDIENCE LAUGHS NERVOUSLY
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..we've got a bag of gunge
and there's just a little rope,
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just there. What do you reckon
we're going to do? Megan?
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For some reason, I feel
like it's going to fall on me!
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Well, we thought about it.
We thought about it quite hard.
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But actually, it's not going to
fall on you.
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You're going to be the one
who's going up there to help us
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cut the ropes, so if you want to nip
up there with Fran, just there.
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Now, instead, I am going to stand
maybe not quite underneath it,
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but what we've got here, the bag
of gunge is attached to a rope.
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And just at the other end of the
rope there, there's a tiny, little
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weight that's balancing it there.
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And once Megan cuts the rope,
the gunge is going to fall
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down this way.
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And then, either I've done my sums
correctly, in which case the gunge
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is going to stop once it hits
about here, or it's going to drop
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all the way to the floor,
go splat,
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and then everyone in the first row
is going to be covered in gunge.
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OK?
Definitely one of those two things.
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Now, if we manage to get
through this unscathed, I want
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you all to burst into spontaneous
applause.
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And if this doesn't work,
I'm just going to do the rest
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of the lectures covered in gunge.
OK?
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All right? Sound good? All right,
Megan, how are you doing?
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Yeah! OK.
You ready to cut rope?
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Are you ready?
Do want to give us a countdown? OK.
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Erm, five, four...
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Three, two, one...
ALL: Two, one...
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Whoa!
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Ha-ha!
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APPLAUSE
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Thank you very much, Megan.
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You haven't ruined the lectures,
so well done for that.
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That was great.
OK. So what happened there?
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We had a bag of real gunge there,
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which genuinely almost did,
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in fact, splat all over us.
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Oh, no.
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LAUGHTER
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It's fine.
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Something quite special
happened there, something quite
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extraordinary there happened,
to stop that gunge
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from splatting everywhere.
If you want to watch this back
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in a little slow-mo. So the weight
was just enough to make the rope
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swing around that bar
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and wrap around enough times
to cause the friction to stop
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the gunge from dropping.
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We've got another angle of this.
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So here's the second angle.
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Now you think it's going to drop all
the way down. Just the last minute,
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there's just enough there
for it to wrap around itself.
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Unwrapped itself there for a second.
But we were safe, we were OK.
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We didn't get splatted. Now, here's
a slightly smaller version here to
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explain what happened.
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Now, we calculated that if this
weight here is 14 times lighter
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than the item on the other end,
then that is enough to make sure
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that it would always stop
itself from falling.
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Now, I knew that for sure,
of course. You all knew,
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surely, that I knew that for sure.
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But still, you know, it's inevitable
that you feel a little bit worried.
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And that's, I think, is something
that you have to accept.
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You know, we're all humans.
We are...
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We find it hard to override
our instincts.
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We're not built for calm
and rational thought.
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But that is the reason why we
created mathematics. It's a way
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to step outside of ourselves
and be objective, a way to calmly
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calculate something and be sure of
the answer, rather than just rely
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on what our messy minds
might tell us.
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And you know what? I'm a very big
believer that maths can offer you
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a new way of looking
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at almost anything, because I think
if you take the time to look,
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thank you very much,
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there are mathematical patterns
hiding behind almost everything,
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even things that feel like they are
very far away from being
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mathematical, even things that you
think should be completely random.
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Now, we're going to come back
to this one in a moment.
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But in the meantime, my fellow
mathematician, Matt Parker, has got
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a perfect example for us, haven't
you, Matt? Hello. Yes.
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I've got a huge group of people out
here in the entranceway to the RI.
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If you'd like to come out
and join me. Sure thing.
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So, thank you very much,
everyone who came along.
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Bizarrely, all wearing red hats.
That's fantastic.
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And all of you wearing yellow.
Well, how fortunate!
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This must be the new fashion.
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So we're going to try an experiment
with all of you in a moment
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to see what happens when
you're moving through a crowd.
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OK. When you're moving in a crowd,
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I mean, everyone's making
their own decisions.
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It's random, surely?
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It feels very random,
very chaotic, unorganised.
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You're being bounced around.
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However, there are some patterns
and, actually, we...
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WHISPERING: ..want them to walk
naturally, so we're not going to
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tell them when the experiment
starts. OK. Watch this.
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CONVERSATIONAL VOLUME: Actually,
I'm really sorry, everyone.
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We've just realised, don't move
yet, that we wanted the yellow hats
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on this side. We wanted, I know,
the red hats on... It's not me,
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it's coming from upstairs. So I
think we're clear. OK. If you can.
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Quick as you can. If you just swap
over sides, exactly where you
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are but opposite across.
OK, so you can see here,
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we've got an overhead camera rigged
up so we can see.
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Come on, everyone,
as quick as you can.
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Hurry up. Come on, faster, please.
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We've got a TV show to do.
Here we go.
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So... They're not all jumbled up.
It's not random, is it? No.
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Right. Look at this.
So, because everyone...
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Having some mild issues here.
Everyone's just following each other
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and you end up with these
very clear lines.
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So if these were random,
it'd be a complete mix.
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Instead, we've got
these fantastic stripes.
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Come on, everyone.
Let's keep it moving.
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You end up with these
fantastic stripes.
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So, everyone. That was fantastic.
Thank you so much.
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And that was the experiment.
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So, thanks very much
for getting involved.
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Thank you. Thank you, Matt.
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Now, it turns out there are actually
a lot of similarities
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between the
maths of how people...
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AUDIENCE LAUGHTER
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Be quiet down there! ..how
people flow through a corridor
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and how fluids behave.
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And if you can understand how people
move when they're in a crowd,
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you can predict how they'll react
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in the case of an emergency and
that's something that's incredibly
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important if you are designing
buildings
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or stadiums or train stations,
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to make sure that your design is
as safe as it could possibly be.
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And that, really, that is the point.
That is what maths is all about.
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It's all about discovering
those invisible patterns
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like this beautiful pattern left
here by that swinging pendulum.
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Isn't that gorgeous? Much neater,
I think, than you would expect.
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But, you know, maths isn't
just about spotting patterns.
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It's also about using them
to your advantage.
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So here is something that might look
as though it's random.
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Best part of Christmas, obviously.
Who gets the toy?
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Who gets to wear the hat?
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Now, here you go, if you want to
have a go on this,
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because you only do this,
go for it...
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..a few times a year,
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you may not notice, there we go,
you can have that one...
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..you may not notice that there is,
actually, a pattern to this.
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But luckily, I have done
hundreds of these.
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And there is a knack to winning.
But I can explain to you.
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So what you have to do - I'll teach
you, right, then I can show you.
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So what you want to do, you want to
hold your end lower than the other
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person, use two hands with a really
sort of steady, firm hold,
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and you don't want to do
any twisting or pulling.
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You don't want to really tear this.
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So what you're trying to do,
ultimately, you're trying to let
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the other person do all of the work
so that then...
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Ahh! ..you end up winning.
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Well done!
You can have the hat, now. Enjoy!
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Now, I've got to be straight
with you.
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This isn't going to work
every single time.
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Especially not if your opponent
knows the same trick as you
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and you're just steadily
trying to get lower and lower
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than the other person.
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But the maths of prediction isn't
about saying what's definitely going
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to happen. It's about considering
all of the possible outcomes and
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working out what's likely to happen.
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So, to show you what I'm talking
about here,
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join me in welcoming University
Challenge mathematician
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and schoolteacher Bobby Seagull.
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Hey, Bobby!
It's very good to see you!
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APPLAUSE DROWNS HANNAH'S SPEECH
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What have you been doing there,
Bobby?
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So I've been flipping coins
hundreds of times.
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OK. On a sort of fair,
unbiased coin.
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You'd expect the chance of a head or
tail to be 50/50. Yeah.
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So I thought, let me try and test
this by flipping a coin six times
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in a row. So you'd expect, six times
in a row you'd expect three heads,
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three tails, right? Yes.
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But sometimes things don't quite
work out the way we want them to.
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So, have you been flipping
a coin six times in a row,
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many times in a row?
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Yes, Mr Seagull's a true maths hero
teacher, flipping it 2,000 times.
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No, no, no. I had to
enlist the help of school students.
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Nice. So we went across London,
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found students from Westminster
Academy... Thank you.
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..and students from my very own
school, Little Ilford.
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And that's these guys here, right?
Yes, exactly. These students here.
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So we got them to line up, all with
a coin in their hand, and flipping
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the coin six times. OK.
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If they get a heads, they take
one step in that direction.
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And can you guess what happens
when they flip a tail?
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I'm going to go this direction.
You're right.
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And let's see what happens
when they flip the coins.
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So this is like a visual
representation of the six flips.
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OK, so that's the third
flip there, is it?
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Yep. And that's the fourth.
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You can see wind blowing
the ties about.
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So, spreading out, every extra flip,
they're spreading out more and more.
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Exactly.
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And now, if we get the students
to move down towards the graph...
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Oh, it's like a human bar chart!
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..you start to see a pattern
emerging.
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Ah, those are very good. So there's
way more people in the middle there.
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Yes. And roughly the same number on
the tails and the head side.
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And a few have got
six tails and six heads.
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So these are three heads, three
tails on this side. Exactly.
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All here, I mean, these guys must
have thought they were very lucky.
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And down here, all tails. Exactly.
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But you didn't just do
this once either, did you?
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I mean, this is like nested,
lots of levels to it.
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Exactly. So many classes
repeating it many times
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to get us a better dataset. OK.
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Here we see, this is
Westminster Academy students.
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So, I mean, pretty much every single
time we're seeing most people
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being in the middle. But you always
get these bits at the end.
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00:11:21,320 --> 00:11:22,920
You always get the extremities.
232
00:11:22,920 --> 00:11:26,760
But the beauty comes when we try
and combine all the information.
233
00:11:26,760 --> 00:11:30,400
So here we see all these little
dots, they're a student,
234
00:11:30,400 --> 00:11:32,760
a proud, hardworking maths student.
235
00:11:32,760 --> 00:11:34,640
And you put them together
and we get what looks
236
00:11:34,640 --> 00:11:36,720
like a normal distribution curve.
Ahh!
237
00:11:36,720 --> 00:11:39,560
And this is what the maths would
have predicted from the beginning.
238
00:11:39,560 --> 00:11:41,600
Exactly. Very lovely.
Thank you very much.
239
00:11:41,600 --> 00:11:43,000
Bobby Seagull. Thank you!
240
00:11:43,000 --> 00:11:44,520
APPLAUSE
241
00:11:46,160 --> 00:11:47,960
The point that we're trying
to make here
242
00:11:47,960 --> 00:11:50,000
is that life is full of randomness.
243
00:11:50,000 --> 00:11:53,440
But even in the midst of chance,
maths can still tell you what might
244
00:11:53,440 --> 00:11:56,000
happen and also tell you just how
likely that might be.
245
00:11:56,000 --> 00:11:59,080
Which, of course, is precisely
what predictions are all about.
246
00:11:59,080 --> 00:12:01,280
So, OK. Let's take a prediction
about the future
247
00:12:01,280 --> 00:12:03,120
that we are all very familiar with -
248
00:12:03,120 --> 00:12:05,520
what the weather is going to be
like tomorrow.
249
00:12:05,520 --> 00:12:08,720
So I got this from my phone earlier.
This is my weather app.
250
00:12:08,720 --> 00:12:13,760
And this here, it says that tomorrow
the chance of rain is 20%.
251
00:12:13,760 --> 00:12:18,800
Question is, what does that 20%
actually mean? When it comes
252
00:12:18,800 --> 00:12:23,160
to talking about the chance of rain,
what does that 20% actually mean?
253
00:12:23,160 --> 00:12:25,960
Who wants to kick us off? You want
to make a guess as to what you
think
254
00:12:25,960 --> 00:12:27,640
20% means in that context?
255
00:12:27,640 --> 00:12:31,440
The chances are probably 20%,
it's going to cover.
256
00:12:31,440 --> 00:12:33,400
OK, yeah, 20% is going to cover.
257
00:12:33,400 --> 00:12:37,320
So you think it's about 20% of
the space will get covered in rain?
258
00:12:37,320 --> 00:12:40,680
What do you reckon? 20% of what?
Do you want to give me a guess?
259
00:12:40,680 --> 00:12:43,240
Anyone here want to give me a guess?
Yeah, go ahead.
260
00:12:43,240 --> 00:12:45,680
How much of the country
is going to have rain in it?
261
00:12:45,680 --> 00:12:47,640
OK, good. Good response. OK. OK.
262
00:12:47,640 --> 00:12:49,360
Well, let's ask someone
who really knows.
263
00:12:49,360 --> 00:12:53,160
I want to introduce you to someone
who, as you will find out, their
264
00:12:53,160 --> 00:12:55,880
life depends on correctly
predicting the future.
265
00:12:55,880 --> 00:12:59,360
I'd like you to join me in
welcoming Professor Chris Jackson.
266
00:13:02,640 --> 00:13:05,520
Hey, Chris. How are you doing?
Hi. Good, thank you.
267
00:13:06,480 --> 00:13:08,480
APPLAUSE DROWNS HANNAH'S SPEECH
268
00:13:09,800 --> 00:13:12,800
So how did they do? In terms of
understanding that 20%, how did
269
00:13:12,800 --> 00:13:15,320
our audience do? They did pretty
well, yeah. They did very well.
270
00:13:15,320 --> 00:13:16,440
What does it actually mean?
271
00:13:16,440 --> 00:13:17,760
It means that if I was to live
272
00:13:17,760 --> 00:13:20,120
the same day over and over 100
times, it would rain
273
00:13:20,120 --> 00:13:21,160
on 20 of those days.
274
00:13:21,160 --> 00:13:24,200
Does it tell you whether you should
bring an umbrella or not, though?
275
00:13:24,200 --> 00:13:26,600
I'm a pessimist.
You should always bring an umbrella.
276
00:13:26,600 --> 00:13:29,080
Yeah. I'm the same.
No-one likes getting wet, right? No.
277
00:13:29,080 --> 00:13:32,080
No-one likes getting wet. But you
don't predict the weather, do you?
278
00:13:32,080 --> 00:13:34,480
No, I don't.
Something much more risky.
279
00:13:34,480 --> 00:13:36,920
Yeah. I try and understand when,
how volcanoes behave
280
00:13:36,920 --> 00:13:38,280
and when they might erupt.
281
00:13:38,280 --> 00:13:40,840
And you use those predictions
to actually go in volcanoes?
282
00:13:40,840 --> 00:13:43,240
Yes, I do. And we've got some of
your photos here.
283
00:13:43,240 --> 00:13:45,360
I mean, that's pretty close, right?
284
00:13:45,360 --> 00:13:47,840
Yeah, it's pretty close. But
it's important work we're doing
285
00:13:47,840 --> 00:13:50,880
as scientists.
You know, we handle the risk.
286
00:13:50,880 --> 00:13:53,320
And so you're calculating
this risk at all times, are you?
287
00:13:53,320 --> 00:13:56,600
Yeah. We have visual observations on
the volcano, how active it is.
288
00:13:56,600 --> 00:13:58,720
But also, we have an idea
of what the likelihood is
289
00:13:58,720 --> 00:14:00,880
that this volcano may erupt
while we're there.
290
00:14:00,880 --> 00:14:02,480
Have you ever had a close call?
291
00:14:02,480 --> 00:14:04,600
I've never had a close call.
Not yet, at least.
292
00:14:04,600 --> 00:14:05,680
OK. All right.
293
00:14:05,680 --> 00:14:08,200
Well, of course, because this is
the Christmas lectures,
294
00:14:08,200 --> 00:14:10,560
we've got a model of a volcano
to demonstrate.
295
00:14:10,560 --> 00:14:12,600
So you can tell us
a bit about how your predictions
296
00:14:12,600 --> 00:14:14,440
work, using this thing here. OK.
297
00:14:14,440 --> 00:14:17,760
Yeah. So, the thing with volcanoes
is they're very difficult to see
298
00:14:17,760 --> 00:14:18,840
inside and underneath.
299
00:14:18,840 --> 00:14:21,920
So we have to rely on a number
of observations while we're looking
300
00:14:21,920 --> 00:14:23,480
at the volcano.
301
00:14:23,480 --> 00:14:25,920
So one thing we can use is analysis
302
00:14:25,920 --> 00:14:28,880
of the gas that comes
out of the volcano.
303
00:14:28,880 --> 00:14:32,360
So by looking at the amount of gas
and the type of gas, because gas
304
00:14:32,360 --> 00:14:33,840
is contained in magma,
305
00:14:33,840 --> 00:14:36,280
if we measure that, we can
have an idea if magma's moving
306
00:14:36,280 --> 00:14:37,880
into the volcano and the volcano
307
00:14:37,880 --> 00:14:39,240
might be about to erupt.
308
00:14:39,240 --> 00:14:42,400
And so if you see this kind of gas,
you're calculating the risk
309
00:14:42,400 --> 00:14:44,240
of an eruption all the time?
Yes, exactly.
310
00:14:44,240 --> 00:14:46,920
How much gas and what type of gas
may actually kind of give us
311
00:14:46,920 --> 00:14:50,040
an indication of what the nearness
of an eruption is, yeah.
312
00:14:50,040 --> 00:14:52,240
And are there other things
that you're looking out for?
313
00:14:52,240 --> 00:14:53,960
Yeah. So another thing
we can look for is,
314
00:14:53,960 --> 00:14:56,400
magma moves into the volcano,
it pushes against the rock,
315
00:14:56,400 --> 00:14:59,400
the rock fractures and releases
energy in the form of earthquakes.
316
00:14:59,400 --> 00:15:02,280
So, if we can measure the
earthquakes, where they are in the
317
00:15:02,280 --> 00:15:04,920
volcano, then we can actually
measure the earthquakes in terms
318
00:15:04,920 --> 00:15:07,120
of how strong they are as well.
319
00:15:07,120 --> 00:15:09,600
With the gases together,
we may be able to use that in some
320
00:15:09,600 --> 00:15:12,600
sort of like forecasting sense,
so, what's the likelihood?
321
00:15:12,600 --> 00:15:16,640
Are there some signs that are sort
of absolute no-nos, where you won't
322
00:15:16,640 --> 00:15:18,960
enter a volcano after that point?
323
00:15:18,960 --> 00:15:22,840
Yeah, I think if, you know, there's
lots of gas, lots of earthquakes,
324
00:15:22,840 --> 00:15:25,880
maybe even lava coming out the top
of it, that's probably time
325
00:15:25,880 --> 00:15:28,280
to leave! Time to...
326
00:15:28,280 --> 00:15:30,720
Time to take a bit of a step back.
Time to step back, yes.
327
00:15:30,720 --> 00:15:32,320
Maybe let's do that! Let's do that.
328
00:15:32,320 --> 00:15:34,800
So this one looks like
it's imminent. OK?
329
00:15:34,800 --> 00:15:36,360
NERVOUS LAUGHTER
330
00:15:36,360 --> 00:15:38,960
Thank goodness you've got
big glasses on then, huh?
331
00:15:38,960 --> 00:15:41,640
Have you ever
been at an actual volcanic eruption?
332
00:15:41,640 --> 00:15:43,960
I have. Yes. Because this stuff
is really serious, right?
333
00:15:43,960 --> 00:15:46,160
This is not just playful...
Absolutely serious.
334
00:15:46,160 --> 00:15:48,600
It's serious for the people who work
in and around volcanoes.
335
00:15:48,600 --> 00:15:49,760
But it's even more serious
336
00:15:49,760 --> 00:15:52,080
for the people who have to live
with them every single day.
337
00:15:52,080 --> 00:15:53,560
Yeah.
338
00:15:53,560 --> 00:15:55,280
So this one looks
like it's imminent.
339
00:15:55,280 --> 00:15:56,720
This one looks like it's imminent.
340
00:15:56,720 --> 00:15:59,880
I'm going to say, you know, probably
90% chance at the moment
341
00:15:59,880 --> 00:16:01,200
it's going to erupt. OK.
342
00:16:01,200 --> 00:16:02,400
NERVOUS LAUGHTER
343
00:16:02,400 --> 00:16:03,440
Whoa!
344
00:16:03,440 --> 00:16:04,600
AUDIENCE GASPS
345
00:16:04,600 --> 00:16:07,360
That's 100% chance!
Yeah. Impressive!
346
00:16:07,360 --> 00:16:09,920
AUDIENCE WHOOPS
347
00:16:15,680 --> 00:16:18,840
Fantastic! Thank you very much!
Cheers. Thank you!
348
00:16:21,480 --> 00:16:25,600
There is something that's important
to say about a 90% prediction.
349
00:16:25,600 --> 00:16:29,720
10% of the time that volcano
won't explode.
350
00:16:29,720 --> 00:16:33,080
And while it sounds like I'm saying
something quite obvious there,
351
00:16:33,080 --> 00:16:35,440
when you are dealing with
the messy world of uncertainty,
352
00:16:35,440 --> 00:16:38,480
you need to understand
that being wrong is sometimes part
353
00:16:38,480 --> 00:16:43,440
of prediction, because sometimes
errors can have unexpected
354
00:16:43,440 --> 00:16:46,120
consequences. Now, let me show you
what I'm talking about here,
355
00:16:46,120 --> 00:16:51,640
because we have just had a delivery
of 100 Christmas presents
356
00:16:51,640 --> 00:16:54,960
and the rumours are that, hiding
amongst these hundred presents,
357
00:16:54,960 --> 00:16:57,440
there are five brand-new
smartphones.
358
00:16:57,440 --> 00:16:59,680
And one of you gets to come
down and open one
359
00:16:59,680 --> 00:17:01,520
of these presents at random.
360
00:17:01,520 --> 00:17:03,840
So, who wants to come down?
361
00:17:03,840 --> 00:17:05,080
LAUGHTER
362
00:17:05,080 --> 00:17:07,240
What a surprise. Perfect.
363
00:17:07,240 --> 00:17:09,040
All right. Let's see
who we can find.
364
00:17:09,040 --> 00:17:11,480
If you want to come down there,
yeah. Perfect. Round of applause.
365
00:17:18,560 --> 00:17:20,480
What's your name?
Yee-ling. Yee-ling, perfect.
366
00:17:20,480 --> 00:17:23,400
OK, Yee-ling. All right. So if you
want to stand just over there. Now,
367
00:17:23,400 --> 00:17:26,080
you're going to get to pick one of
these presents completely at random.
368
00:17:26,080 --> 00:17:29,560
Five of them are phones, the other
95, they're kind of rubbish presents
369
00:17:29,560 --> 00:17:32,200
like socks and satsumas.
No-one wants any of them.
370
00:17:32,200 --> 00:17:34,680
And because you only get to pick one
present, we want to give
371
00:17:34,680 --> 00:17:38,280
you the best possible chance
at getting a phone.
372
00:17:38,280 --> 00:17:41,040
But luckily,
Matt Parker has invented
373
00:17:41,040 --> 00:17:44,800
a very special present scanning
machine to help you.
374
00:17:44,800 --> 00:17:46,240
Haven't you, Matt?
375
00:17:46,240 --> 00:17:49,080
Look at this! All right. Yeah.
Amazing!
376
00:17:49,080 --> 00:17:54,280
This is my Xmas Ray Detector .80.
377
00:17:54,280 --> 00:17:56,360
And what we can do is we can put
these presents
378
00:17:56,360 --> 00:17:59,000
through the scanner. Actually,
do you want to come with me
379
00:17:59,000 --> 00:18:01,560
around over here? If you want to
stand behind like the conveyor belt
380
00:18:01,560 --> 00:18:05,200
over here where they come out, if I
turn this machine on and I start
381
00:18:05,200 --> 00:18:08,480
putting the presents in the top
here, it will try and detect if
382
00:18:08,480 --> 00:18:09,960
there's a phone in them.
383
00:18:09,960 --> 00:18:13,440
If there's no phone, it just spits
them out the same way they went in.
384
00:18:13,440 --> 00:18:17,080
If it thinks there's a phone,
it rewraps it. Look at that!
385
00:18:17,080 --> 00:18:19,040
Ooh! That's a winner.
386
00:18:19,040 --> 00:18:21,720
So, if it says 'phone',
you put it on the table.
387
00:18:21,720 --> 00:18:23,600
If it doesn't say 'phone',
we don't care. Right?
388
00:18:23,600 --> 00:18:25,800
Just down there somewhere.
Is that OK? Are you ready?
389
00:18:25,800 --> 00:18:27,840
I'm going to start
piling them in here.
390
00:18:27,840 --> 00:18:29,680
You sort them out. Here they come.
391
00:18:29,680 --> 00:18:32,440
You seem pretty happy with this
machine, Matt. I'm very proud.
392
00:18:32,440 --> 00:18:34,160
It is a... How accurate is it?
393
00:18:34,160 --> 00:18:38,720
This machine is 80% accurate. OK.
80% accurate. That's pretty good,
394
00:18:38,720 --> 00:18:40,160
Matt, 80% accurate.
395
00:18:40,160 --> 00:18:42,280
OK. So, then, one of these, then,
396
00:18:42,280 --> 00:18:44,000
that's rewrapped as a phone,
397
00:18:44,000 --> 00:18:46,200
what do you reckon are the
chances that this is a phone?
398
00:18:46,200 --> 00:18:47,960
Shout out what you think it is.
399
00:18:47,960 --> 00:18:49,280
AUDIENCE OFFERS SUGGESTIONS
400
00:18:49,280 --> 00:18:51,720
OK. All right.
Let's think this through, then.
401
00:18:51,720 --> 00:18:54,000
So, your machine,
how accurate is your machine?
402
00:18:54,000 --> 00:18:56,480
80% accurate. OK.
403
00:18:56,480 --> 00:18:59,320
So your machine is 80% accurate.
404
00:18:59,320 --> 00:19:01,800
There are five phones in total.
405
00:19:01,800 --> 00:19:05,960
80% accurate means that it's only
going to find four of them, right?
406
00:19:05,960 --> 00:19:07,440
Which does, Matt, that does mean one
407
00:19:07,440 --> 00:19:09,120
phone's going to end up
on the floor.
408
00:19:09,120 --> 00:19:13,560
Yes. The downside to 80% accurate
is it's 20% inaccurate. Ahh!
409
00:19:13,560 --> 00:19:16,240
But on the upside, 80% accurate.
OK.
410
00:19:16,240 --> 00:19:18,320
So, I mean, you make a good point.
411
00:19:18,320 --> 00:19:20,040
Thank you! OK, one phone
on the floor.
412
00:19:20,040 --> 00:19:22,920
It's not the end of the world.
Still gives you a really good chance
413
00:19:22,920 --> 00:19:24,120
at finding a phone.
414
00:19:24,120 --> 00:19:26,840
There's something going
on there, though.
415
00:19:26,840 --> 00:19:29,160
Hang on, hang on, hang on, hang on.
Stop the machine.
416
00:19:29,160 --> 00:19:31,640
Whoa-whoa-whoa. Whoa-whoa-whoa.
OK. Hang on. Matt...
417
00:19:31,640 --> 00:19:34,520
Yeah? There are way more than four
phones on that table.
418
00:19:34,520 --> 00:19:37,320
Yeah. It's 80% accurate
419
00:19:37,320 --> 00:19:39,640
at both detecting a phone
420
00:19:39,640 --> 00:19:41,880
and detecting NOT a phone.
421
00:19:41,880 --> 00:19:44,560
Are you saying, hang on, are you
saying this machine is taking socks
422
00:19:44,560 --> 00:19:46,920
and satsumas and wrapping them as
phones when they're not? Yeah.
423
00:19:46,920 --> 00:19:48,520
20% of them.
424
00:19:48,520 --> 00:19:51,040
I don't know if I brought
this up earlier, Hannah,
425
00:19:51,040 --> 00:19:52,960
but it's 80% accurate.
426
00:19:52,960 --> 00:19:54,480
AUDIENCE CACKLES
427
00:19:54,480 --> 00:19:58,040
Yeah, but Matt, there's 95 socks and
satsumas here. Yeah.
428
00:19:58,040 --> 00:20:02,840
20%, that's not, that's 19 rubbish
presents in that pile of phones.
429
00:20:02,840 --> 00:20:05,880
Yeah, but 80% of them are down here.
430
00:20:05,880 --> 00:20:09,000
So, the problem is like,
this is 80% accurate,
431
00:20:09,000 --> 00:20:11,840
it doesn't mean these are going
to be 80% phones. Yeah.
432
00:20:11,840 --> 00:20:16,600
It just means, I'd like to recap,
that my machine is 80% accurate.
433
00:20:16,600 --> 00:20:19,640
OK, OK, OK. But right, by the time
you're finished, you're going to
434
00:20:19,640 --> 00:20:21,920
have, what, 23 presents over here?
435
00:20:21,920 --> 00:20:24,120
Only four of them
are going to be phones.
436
00:20:24,120 --> 00:20:27,800
That gives you a four in 23
chance of finding a phone.
437
00:20:27,800 --> 00:20:29,640
It's about 17%.
So it wasn't... OK.
438
00:20:29,640 --> 00:20:31,360
Well, do you want to pick one
at random?
439
00:20:32,920 --> 00:20:35,920
I mean, you can open it,
have whatever's inside.
440
00:20:35,920 --> 00:20:39,280
It's overwhelmingly likely
to be a satsuma.
441
00:20:39,280 --> 00:20:42,080
Well, you can keep it, though.
Merry Christmas.
442
00:20:42,080 --> 00:20:45,120
Thanks for your machine, Matt.
My pleasure. Amazing!
443
00:20:46,800 --> 00:20:48,400
80% accurate!
444
00:20:53,800 --> 00:20:57,440
That kind of error, mislabelling
satsumas as phones,
445
00:20:57,440 --> 00:20:59,720
it's something that's called
a false positive.
446
00:20:59,720 --> 00:21:02,360
And it goes to show how maths
can sometimes really prove
447
00:21:02,360 --> 00:21:03,880
your intuition is wrong.
448
00:21:03,880 --> 00:21:05,640
Now, false positives,
they're everywhere.
449
00:21:05,640 --> 00:21:07,640
You see this every time
you go through an airport.
450
00:21:07,640 --> 00:21:11,000
Think about all of the people that
are pulled over from the scanner
451
00:21:11,000 --> 00:21:14,080
for having lip balm and hair
straighteners in their luggage.
452
00:21:14,080 --> 00:21:17,440
And the number of people
who are false positives massively
453
00:21:17,440 --> 00:21:20,640
overwhelms the number of real
weapons that the security team
454
00:21:20,640 --> 00:21:21,720
are looking for.
455
00:21:21,720 --> 00:21:24,960
But there is a really dark side
to this kind of error, too,
456
00:21:24,960 --> 00:21:28,320
because imagine if, instead
of scanning for presents,
457
00:21:28,320 --> 00:21:30,560
we were screening for cancer.
458
00:21:30,560 --> 00:21:34,240
Now, even if a cancer screening
test, like a blood test
459
00:21:34,240 --> 00:21:38,600
or a mammogram, the ones
that work with 89% accuracy
460
00:21:38,600 --> 00:21:43,680
because they are not perfect, there
will always be false positives.
461
00:21:43,680 --> 00:21:47,480
There will always be people
who believe that they have cancer
462
00:21:47,480 --> 00:21:49,920
when, in reality, they actually
have nothing to worry about.
463
00:21:49,920 --> 00:21:51,480
This is kind of present scanning,
464
00:21:51,480 --> 00:21:54,520
but from the perspective of the gift
box and you can imagine
465
00:21:54,520 --> 00:21:58,840
just how much pain and anxiety
it might cause to be mislabelled.
466
00:21:58,840 --> 00:22:01,160
Now, this doesn't mean
that you shouldn't be screened,
467
00:22:01,160 --> 00:22:02,800
but it's really important
to understand
468
00:22:02,800 --> 00:22:05,240
what these results mean.
469
00:22:05,240 --> 00:22:09,080
But OK, if you can accept that being
right isn't always possible,
470
00:22:09,080 --> 00:22:13,520
if you can really understand these
numbers, then you can still use
471
00:22:13,520 --> 00:22:15,760
them to your advantage,
because sometimes luck
472
00:22:15,760 --> 00:22:17,640
really is a matter of life
and death,
473
00:22:17,640 --> 00:22:20,360
or in this case, zombies.
474
00:22:20,360 --> 00:22:23,800
So to explain this properly, I would
like you to join me in giving
475
00:22:23,800 --> 00:22:26,080
a warm welcome to an epidemiologist
476
00:22:26,080 --> 00:22:30,160
from the London School of Hygiene
and Tropical Medicine, Ros Eggo.
477
00:22:41,120 --> 00:22:44,560
OK, Ros, you study the
mathematics of disease, right?
478
00:22:44,560 --> 00:22:46,400
How much of it is luck and chance?
479
00:22:46,400 --> 00:22:48,160
Well, there's a lot of chance
that's involved
480
00:22:48,160 --> 00:22:49,880
in the transmission of disease.
481
00:22:49,880 --> 00:22:52,280
So if there's an epidemic happening
at the moment, the chance
482
00:22:52,280 --> 00:22:54,560
of you getting it depends
on how many other people
483
00:22:54,560 --> 00:22:57,720
there are that have the infection
at the time.
484
00:22:57,720 --> 00:23:00,600
And then if you happen to meet one
of those, which is more likely
485
00:23:00,600 --> 00:23:03,160
when there's a lot of people
who have it,
486
00:23:03,160 --> 00:23:05,440
there's also a chance you'll get
it from them or not.
487
00:23:05,440 --> 00:23:08,360
And if you have some
pre-existing immunity, maybe
488
00:23:08,360 --> 00:23:10,480
you've been vaccinated
or you've had it before,
489
00:23:10,480 --> 00:23:13,240
then the chance of them passing
it to you also goes down.
490
00:23:13,240 --> 00:23:16,960
So there's a lot. So, then, how can
maths help you? Mmm.
491
00:23:16,960 --> 00:23:19,720
It's really difficult to predict,
on an individual level, if somebody
492
00:23:19,720 --> 00:23:23,200
will get it. But on a population
level, with these nice, big numbers,
493
00:23:23,200 --> 00:23:25,840
there's some things we can
predict - when the epidemic will go
494
00:23:25,840 --> 00:23:28,640
up and when it will come down.
We try and predict the peak.
495
00:23:28,640 --> 00:23:31,520
And we try and predict which groups
might be at risk of infection.
496
00:23:31,520 --> 00:23:35,040
Well, talking of epidemics,
there are some rumours
497
00:23:35,040 --> 00:23:37,760
of a zombie
apocalypse about to hit.
498
00:23:37,760 --> 00:23:41,000
OK, so, everyone here, underneath
your seats,
499
00:23:41,000 --> 00:23:42,880
you should have a zombie mask
500
00:23:42,880 --> 00:23:45,560
and you should have some
ping pong balls.
501
00:23:45,560 --> 00:23:48,240
Now, these are your zombie germs.
Mm-hm.
502
00:23:48,240 --> 00:23:53,160
So how it works is, if a zombie germ
touches you, you become a zombie.
503
00:23:53,160 --> 00:23:57,240
You put up your zombie mask
and then you take your zombie germs
504
00:23:57,240 --> 00:23:59,360
and you throw them straight
up in the air as high
505
00:23:59,360 --> 00:24:01,000
as you possibly can. OK.
506
00:24:01,000 --> 00:24:03,160
And in a moment, I'm going to start
off this infection.
507
00:24:03,160 --> 00:24:06,160
So everyone start with your mask
down to kick us off,
508
00:24:06,160 --> 00:24:09,200
but you can make a prediction
about what might happen here. Um.
509
00:24:09,200 --> 00:24:12,080
So over here, nobody has any
protection against zombies,
510
00:24:12,080 --> 00:24:13,280
zombie infection.
511
00:24:13,280 --> 00:24:15,880
So we're going to expect a lot
of cases and possibly quite quickly.
512
00:24:15,880 --> 00:24:17,840
OK. All right. Let's give it a go.
Is everyone ready?
513
00:24:17,840 --> 00:24:20,480
Everyone got their balls in their
hand? All right. We're going to
514
00:24:20,480 --> 00:24:22,880
start this infection. Here's
the zombie germs coming at you.
515
00:24:24,000 --> 00:24:26,760
I'm going to... I'm directly
targeting people.
516
00:24:26,760 --> 00:24:28,800
OK. Oh, already.
517
00:24:28,800 --> 00:24:31,920
So, we've got little, actually,
a few different patches here.
518
00:24:31,920 --> 00:24:33,040
We do, yeah.
519
00:24:33,040 --> 00:24:35,720
In fact, they're starting to get a
little bit frightening around here.
520
00:24:35,720 --> 00:24:40,520
And it's travelling backwards
through, and now a big cluster of
521
00:24:40,520 --> 00:24:42,840
zombies there, right in the middle.
Uh-huh!
522
00:24:44,720 --> 00:24:47,880
How realistic is what they're doing,
compared to how normal, real
523
00:24:47,880 --> 00:24:49,880
diseases spread?
524
00:24:49,880 --> 00:24:53,000
Well, obviously, for real diseases,
it's not quite so frightening
525
00:24:53,000 --> 00:24:54,880
as what's happening up here.
526
00:24:54,880 --> 00:24:59,560
But we use similar type of methods,
using chance to pass on infection
527
00:24:59,560 --> 00:25:02,400
to understand how real diseases
spread around.
528
00:25:02,400 --> 00:25:05,160
But for zombie infections,
nobody ever recovers.
529
00:25:05,160 --> 00:25:07,240
Nobody, OK.
And that's, in the real world,
530
00:25:07,240 --> 00:25:09,160
people usually recover.
531
00:25:09,160 --> 00:25:11,120
I think there are, in fact, OK,
532
00:25:11,120 --> 00:25:13,640
so if you...
533
00:25:13,640 --> 00:25:15,800
..it's still going!
It is still going!
534
00:25:15,800 --> 00:25:20,360
And if you are not a zombie,
535
00:25:20,360 --> 00:25:23,280
could you stand up for us?
How many people are there?
536
00:25:23,280 --> 00:25:25,040
Oh, we've got some!
537
00:25:25,040 --> 00:25:30,160
Three people who managed to escape
the zombies!
538
00:25:30,160 --> 00:25:33,320
You also can't target people
directly with your zombie germs.
539
00:25:33,320 --> 00:25:35,960
That wasn't part of the rules.
OK. Everybody, sit down.
540
00:25:35,960 --> 00:25:39,240
Thank you very much. Well done.
Now we can do this again, but this
541
00:25:39,240 --> 00:25:43,360
time, we can use some kind of
zombie defences. Exactly. Yeah.
542
00:25:43,360 --> 00:25:45,880
So over here, there's going
to be some protection against
543
00:25:45,880 --> 00:25:48,840
infection, and these people are
going to be completely protected.
544
00:25:48,840 --> 00:25:51,680
OK. So those of you who have,
you've got protective masks
545
00:25:51,680 --> 00:25:53,240
under your seat and this makes you
546
00:25:53,240 --> 00:25:56,000
completely immune from zombie
infection. It does, yeah. OK.
547
00:25:56,000 --> 00:25:59,240
So if the zombie germs touch
you and you're wearing a face mask,
548
00:25:59,240 --> 00:26:01,960
you're wearing a protective mask,
don't worry about anything.
549
00:26:01,960 --> 00:26:05,840
Don't put up your zombie mask,
don't throw any germs around.
550
00:26:05,840 --> 00:26:08,680
You're completely immune.
And we'll see what happens now.
551
00:26:08,680 --> 00:26:11,800
And what's your prediction
about what will happen in this case?
552
00:26:11,800 --> 00:26:14,880
Well, there's a lot of protection up
here. So I think the epidemic will
553
00:26:14,880 --> 00:26:18,000
be over very quickly and maybe
not many people will be infected.
554
00:26:18,000 --> 00:26:19,720
OK, let's give it a go. Here we go.
555
00:26:21,960 --> 00:26:23,400
OK.
556
00:26:23,400 --> 00:26:25,840
So, it's still started.
We've got a few.
557
00:26:27,440 --> 00:26:29,720
Oh!
558
00:26:29,720 --> 00:26:33,360
OK, I mean, that stopped
almost immediately.
559
00:26:33,360 --> 00:26:38,240
OK. So those of you who are not
wearing a protective mask, but also
560
00:26:38,240 --> 00:26:39,960
not a zombie, could you stand up?
561
00:26:41,080 --> 00:26:43,360
Oh, goodness me.
Look at that! Wow, that's a lot.
562
00:26:43,360 --> 00:26:45,480
And there's a point to it.
Thank you very much, everyone.
563
00:26:45,480 --> 00:26:47,960
You can sit down. There's a point
to all of this, right?
564
00:26:47,960 --> 00:26:50,760
Yeah, exactly. So the protection
that we had in the population
565
00:26:50,760 --> 00:26:54,480
from the people wearing masks
who are vaccinated against infection
566
00:26:54,480 --> 00:26:57,200
has protected everybody
in this part of the audience
567
00:26:57,200 --> 00:26:58,520
from getting infection.
568
00:26:58,520 --> 00:27:00,160
And is this the same thing
that happens
569
00:27:00,160 --> 00:27:02,000
when we're vaccinated
against diseases?
570
00:27:02,000 --> 00:27:03,400
Exactly. It is.
571
00:27:03,400 --> 00:27:06,400
So we have here, kind of,
this community
572
00:27:06,400 --> 00:27:08,720
has immunity from infection.
573
00:27:08,720 --> 00:27:11,080
And so, even the people
who weren't themselves vaccinated
574
00:27:11,080 --> 00:27:12,520
have been protected
by the protection
575
00:27:12,520 --> 00:27:14,000
in the whole community.
576
00:27:14,000 --> 00:27:16,600
So how much does the maths
of modelling disease
577
00:27:16,600 --> 00:27:19,240
make a difference
back in the real world?
578
00:27:19,240 --> 00:27:22,680
So we take experiments kind of like
this, but in the computer,
579
00:27:22,680 --> 00:27:25,280
take things that we know
about how infection spreads
580
00:27:25,280 --> 00:27:27,720
and about the population
in general,
581
00:27:27,720 --> 00:27:32,680
and the goal is to use the computer,
use our simulations, to figure out
582
00:27:32,680 --> 00:27:35,000
ahead of time what would be
the best interventions.
583
00:27:35,000 --> 00:27:38,320
What should we do to decrease
the number of cases in everybody,
584
00:27:38,320 --> 00:27:39,920
without it having to happen?
585
00:27:39,920 --> 00:27:43,360
So it doesn't matter whether
you're talking about flus or Ebola
586
00:27:43,360 --> 00:27:46,200
or, I don't know, TB in cows, you
can use these mathematical ideas.
587
00:27:46,200 --> 00:27:48,760
Exactly. Yeah, for human diseases,
for animal diseases, even for
588
00:27:48,760 --> 00:27:51,120
plants, it's really useful.
And demonstrates that vaccines
589
00:27:51,120 --> 00:27:53,160
really do make a difference.
It does. It does.
590
00:27:53,160 --> 00:27:56,000
Would you rather live over here with
all these zombies or over here?
591
00:27:56,000 --> 00:27:57,840
Definitely over there.
Definitely over here.
592
00:27:57,840 --> 00:27:59,640
Ros, thank you very much.
Thank you.
593
00:28:03,480 --> 00:28:06,040
There is a really simple point
in all of this. If you've got maths
594
00:28:06,040 --> 00:28:09,360
on your side, it's not just
about spotting patterns.
595
00:28:09,360 --> 00:28:12,600
It's about using what the numbers
tell you
596
00:28:12,600 --> 00:28:15,080
to bend the world to your will.
597
00:28:15,080 --> 00:28:19,240
And there is one game of luck, skill
and stats that actually captivates
598
00:28:19,240 --> 00:28:22,600
millions of us every single week,
because believe it or not,
599
00:28:22,600 --> 00:28:26,280
the Premier League is awash
with mathematicians.
600
00:28:26,280 --> 00:28:30,160
So, here's the staff photo
from Liverpool Football Club.
601
00:28:30,160 --> 00:28:32,960
You've got the team manager there,
obviously a very important job,
602
00:28:32,960 --> 00:28:35,280
but here,
this is a group of mathematicians.
603
00:28:35,280 --> 00:28:38,760
These guys are the unsung heroes
of Liverpool football team
604
00:28:38,760 --> 00:28:43,360
and it's their job to make
the team as lucky as possible.
605
00:28:43,360 --> 00:28:46,800
So please join me in welcoming
Tim Waskett.
606
00:28:53,080 --> 00:28:55,920
So, that's you in that photo,
Tim? Yeah. That's me, just there.
607
00:28:55,920 --> 00:28:58,680
All right. So how on Earth do you
go about changing a football game
608
00:28:58,680 --> 00:29:00,600
into something to do with numbers?
609
00:29:00,600 --> 00:29:05,280
So the primary currency that every
football game is based on is goals.
610
00:29:05,280 --> 00:29:07,440
Obviously, that's the most
important thing.
611
00:29:07,440 --> 00:29:10,560
And it's our job to turn every
action on pitch, every pass, every
612
00:29:10,560 --> 00:29:14,480
throw in, every tackle, every shot,
into a goal probability.
613
00:29:14,480 --> 00:29:17,600
And I think we've actually got
an image from your team.
614
00:29:17,600 --> 00:29:20,480
So this is showing you
the darker the colour,
615
00:29:20,480 --> 00:29:22,720
the darker the red,
the more likely you are to score?
616
00:29:22,720 --> 00:29:25,160
I mean, from there, it's pretty
easy, right? Yes. Exactly.
617
00:29:25,160 --> 00:29:27,920
So this is taken from literally
hundreds of thousands of shots
618
00:29:27,920 --> 00:29:30,320
through major leagues
all over the world.
619
00:29:30,320 --> 00:29:34,280
And by looking at where the shots
take place, how often they became
620
00:29:34,280 --> 00:29:37,360
a goal, gives us a probability
of a shot from a similar situation,
621
00:29:37,360 --> 00:29:39,200
ultimately ending as a goal.
622
00:29:39,200 --> 00:29:42,320
Now, I understand that there's
a little game that you play
623
00:29:42,320 --> 00:29:45,560
with all of this, of trying to guess
what the maths says
624
00:29:45,560 --> 00:29:48,920
is the probability of a particular
shot going in. Yeah.
625
00:29:48,920 --> 00:29:50,480
I think we have a little clip.
626
00:29:50,480 --> 00:29:52,880
So, we call this
"the expected goals game". OK.
627
00:29:52,880 --> 00:29:54,760
So what game are we watching here?
628
00:29:54,760 --> 00:29:58,760
So this is a friendly between
Tranmere Rovers and Liverpool,
629
00:29:58,760 --> 00:30:01,960
this is a pre-season friendly.
And you paused the footage just...
630
00:30:01,960 --> 00:30:03,960
Yep. So, he's about to do
a header.
631
00:30:03,960 --> 00:30:06,480
So he's about to do a header and
he's right in front of the goal,
632
00:30:06,480 --> 00:30:10,480
there, very close. So what do we
think the probability of this shot
633
00:30:10,480 --> 00:30:11,880
turning into a goal is?
634
00:30:11,880 --> 00:30:15,160
What does the maths calculate the
chances of this turning into a goal?
635
00:30:15,160 --> 00:30:17,880
We have some options.
Do you reckon it's 50%,
636
00:30:17,880 --> 00:30:21,200
75% or 99%? OK.
637
00:30:21,200 --> 00:30:23,120
Shout out your answers.
What do you think it is?
638
00:30:23,120 --> 00:30:25,360
What do you reckon the maths says
is the chances?
639
00:30:25,360 --> 00:30:27,120
AUDIENCE RESPONDS ENTHUSIASTICALLY
640
00:30:27,120 --> 00:30:29,120
Oooh, 75 came out quite clearly
there.
641
00:30:29,120 --> 00:30:30,840
All right, what did
the maths say?
642
00:30:30,840 --> 00:30:33,440
Well, the actual answer here is 99%.
643
00:30:33,440 --> 00:30:34,880
SIMULATED CHEERING
644
00:30:34,880 --> 00:30:38,920
So, that means in exactly the same
position with exactly the same
645
00:30:38,920 --> 00:30:42,840
surroundings, if you reran these
100 times, it would only not
646
00:30:42,840 --> 00:30:44,480
result in a goal once. Exactly.
647
00:30:44,480 --> 00:30:47,280
So, 99 shots of a similar sort
of position will end in a goal,
648
00:30:47,280 --> 00:30:50,360
and only one will get saved by the
goalkeeper. Oh, OK. All right.
649
00:30:50,360 --> 00:30:53,800
Let's try one more. We've got
another clip for you.
650
00:30:53,800 --> 00:30:54,840
Here we go.
651
00:30:57,160 --> 00:30:59,840
Oh, OK, so he's much farther out
here. Much further out,
652
00:30:59,840 --> 00:31:02,280
and he's also not central
onto the goal, he's off to one side.
653
00:31:02,280 --> 00:31:03,880
So we know it's going to be a lower
chance.
654
00:31:03,880 --> 00:31:05,520
It's going to definitely be
a lower chance.
655
00:31:05,520 --> 00:31:07,920
But what does the maths actually
calculate it to be?
656
00:31:07,920 --> 00:31:09,440
So we've got
some options for you.
657
00:31:09,440 --> 00:31:11,600
All right. Do you reckon
658
00:31:11,600 --> 00:31:15,560
the maths says that this is 4%,
7% or 10% chance of getting a goal?
659
00:31:15,560 --> 00:31:17,320
What do you reckon? Shout it at me.
660
00:31:17,320 --> 00:31:18,760
AUDIENCE RESPONDS
661
00:31:18,760 --> 00:31:20,560
Oh, everyone's going
in the middle there.
662
00:31:20,560 --> 00:31:23,200
What's the answer?
You're spot-on. It's actually 7%.
663
00:31:23,200 --> 00:31:25,320
And let's see what actually
did happen.
664
00:31:26,600 --> 00:31:28,800
Ah, a miss! One of the reasons
665
00:31:28,800 --> 00:31:31,040
that that was only 7% and not
any higher was because he shot
666
00:31:31,040 --> 00:31:32,960
it straight at the goalkeeper.
667
00:31:32,960 --> 00:31:35,280
I mean, that's always a big mistake.
668
00:31:35,280 --> 00:31:38,920
But it's not just about strikers
that you're translating
669
00:31:38,920 --> 00:31:40,440
into numbers, is it?
No, exactly.
670
00:31:40,440 --> 00:31:43,080
So this is the easiest thing
that we can do, but we can do
671
00:31:43,080 --> 00:31:45,640
a similar calculation for every
other event on the pitch.
672
00:31:45,640 --> 00:31:47,680
So any time the ball is passed,
for example.
673
00:31:47,680 --> 00:31:50,040
OK.
So to help us to demonstrate this,
674
00:31:50,040 --> 00:31:53,560
I'd like to invite onto the stage
Bertie and Jamie
675
00:31:53,560 --> 00:31:55,720
from a London youth team.
676
00:32:00,800 --> 00:32:04,960
Thank you very much, guys.
Thank you. So...
677
00:32:04,960 --> 00:32:07,680
Bertie and Jamie are just going to
have a bit of a kickabout. Yeah.
678
00:32:07,680 --> 00:32:11,920
Tell us how this works, then. So
for roughly 200 games per weekend,
679
00:32:11,920 --> 00:32:16,800
we get data involving
every single ball touch in the game.
680
00:32:16,800 --> 00:32:21,120
So, the way the data is collected,
every time that a player passes
681
00:32:21,120 --> 00:32:23,520
the ball, they'll mark it
on the pitch and they'll say
682
00:32:23,520 --> 00:32:26,400
this is the position on the pitch
and the player who made that pass,
683
00:32:26,400 --> 00:32:28,720
and then there'll be somebody
watching for the other team
684
00:32:28,720 --> 00:32:29,880
making their passes.
685
00:32:29,880 --> 00:32:32,280
So two people will be going
backwards and forwards, marking
686
00:32:32,280 --> 00:32:35,600
up all of these events. So roughly
every second or so, there's a new
687
00:32:35,600 --> 00:32:37,240
pass, so it's pretty frantic.
688
00:32:37,240 --> 00:32:39,800
So you just have someone there to
kick and kick and kick. It doesn't
689
00:32:39,800 --> 00:32:42,240
sound like the most exciting way to
watch football. No. Well,
690
00:32:42,240 --> 00:32:45,240
thankfully, it's not us who has to
do this work. We actually have
691
00:32:45,240 --> 00:32:48,680
a data supplier who provides us with
these data, these files for us. OK.
692
00:32:48,680 --> 00:32:51,640
Bertie and Jamie, thank you very
much for your help there. Thank you.
693
00:32:56,640 --> 00:32:59,560
So what do you end up with once
you've done all of this?
694
00:32:59,560 --> 00:33:01,080
So for every game we get
695
00:33:01,080 --> 00:33:03,800
approximately 2,000
ball touch events.
696
00:33:03,800 --> 00:33:06,760
And that tells us the position
of the player who makes the pass.
697
00:33:06,760 --> 00:33:09,760
But what that doesn't tell you is
where all of the other players
698
00:33:09,760 --> 00:33:11,440
are on the pitch at that moment.
699
00:33:11,440 --> 00:33:13,320
But you can get hold of
those numbers?
700
00:33:13,320 --> 00:33:15,320
So we can. For the Premier League
games, we get
701
00:33:15,320 --> 00:33:16,560
what we call tracking data.
702
00:33:16,560 --> 00:33:20,280
And so this is a set of cameras
all around the stadium and that's
703
00:33:20,280 --> 00:33:22,800
monitoring the position
of all of the players.
704
00:33:22,800 --> 00:33:25,480
So, 22 players plus
the position of the ball.
705
00:33:25,480 --> 00:33:29,320
And it does that for 25 frames
a second for the full 90 minutes.
706
00:33:29,320 --> 00:33:32,440
So you end up with approximately
1.5 million data points.
707
00:33:32,440 --> 00:33:34,320
That is a lot of numbers!
708
00:33:34,320 --> 00:33:37,360
And in fact, we've got here on the
gigantic spreadsheet, essentially.
709
00:33:37,360 --> 00:33:40,040
So, this is just one game.
And you're watching a game
710
00:33:40,040 --> 00:33:41,320
of football here, basically.
711
00:33:41,320 --> 00:33:42,840
Yes, exactly. Through numbers.
712
00:33:42,840 --> 00:33:45,840
OK. Interesting. I mean, maybe less
exciting than watching
713
00:33:45,840 --> 00:33:48,000
Match of the Day. Well, it
depends on your perspective.
714
00:33:48,000 --> 00:33:49,920
But you're not just
collecting these numbers, are you?
715
00:33:49,920 --> 00:33:51,200
What do you do with them?
716
00:33:51,200 --> 00:33:54,960
So this data can give us a goal
value for every position
717
00:33:54,960 --> 00:33:56,520
and for every player on the pitch.
718
00:33:56,520 --> 00:33:58,040
And what does it end up
looking like?
719
00:33:58,040 --> 00:34:00,440
I think we've got a little...
Yeah, we have a little animation.
720
00:34:00,440 --> 00:34:02,680
OK. So tell us what we're looking at
here. So this is what we call
721
00:34:02,680 --> 00:34:06,680
pitch control. So you can see the
players are in the circles there,
722
00:34:06,680 --> 00:34:09,560
and the arrows represent
the direction and speed
723
00:34:09,560 --> 00:34:10,760
that they can travel in.
724
00:34:10,760 --> 00:34:12,720
And you've got a blue team
and a red team. Yep.
725
00:34:12,720 --> 00:34:15,280
So the red team here
is actually Liverpool.
726
00:34:15,280 --> 00:34:19,120
And the areas in red are places
that the Liverpool players can get
727
00:34:19,120 --> 00:34:22,440
to sooner than the players
who are in blue. Ahh!
728
00:34:22,440 --> 00:34:24,640
Based on how quickly people run.
Yes.
729
00:34:24,640 --> 00:34:26,600
And based on where the ball is.
Exactly.
730
00:34:26,600 --> 00:34:29,120
So, for example, the ball,
in this particular example,
731
00:34:29,120 --> 00:34:30,760
is that yellow dot there.
732
00:34:30,760 --> 00:34:34,160
And if this player, who is currently
in possession of the ball,
733
00:34:34,160 --> 00:34:36,160
this is number ten,
this is Sadio Mane,
734
00:34:36,160 --> 00:34:39,240
his best option at this stage,
is to probably pass to one
735
00:34:39,240 --> 00:34:42,160
of these red areas. And, in fact,
he ends up passing the ball up into
736
00:34:42,160 --> 00:34:44,640
this red zone here to be picked up
by player 66,
737
00:34:44,640 --> 00:34:46,240
which is Trent Alexander-Arnold.
738
00:34:46,240 --> 00:34:50,080
So this is a real game and we can
play on watching the game
739
00:34:50,080 --> 00:34:51,640
through this heat map here.
740
00:34:51,640 --> 00:34:53,840
So, this thing here,
what's this telling us?
741
00:34:53,840 --> 00:34:56,680
So, this is what I was
talking about before, about turning
742
00:34:56,680 --> 00:34:59,640
everything into a goal probability.
So this value now, 1.3%,
743
00:34:59,640 --> 00:35:04,400
this is the probability that a goal
will be scored with the ball
744
00:35:04,400 --> 00:35:06,680
in this position within
the next 15 seconds.
745
00:35:06,680 --> 00:35:08,280
It's quite hard from there. Really.
746
00:35:08,280 --> 00:35:10,840
From there, yes. Because you're so
far back. You've got a long way to
747
00:35:10,840 --> 00:35:12,720
go before you reach the goal.
It's very accurate.
748
00:35:12,720 --> 00:35:15,840
But we can play on this game and see
how it evolves.
749
00:35:15,840 --> 00:35:17,960
So, the ball does get passed over.
750
00:35:17,960 --> 00:35:19,640
Yeah. It gets successfully received.
751
00:35:19,640 --> 00:35:21,920
Still not a very high chance
of scoring a goal from there.
752
00:35:21,920 --> 00:35:24,040
No. But now, Trent
Alexander-Arnold,
753
00:35:24,040 --> 00:35:26,560
his best option is to run
into this position, here. Ahh.
754
00:35:26,560 --> 00:35:28,360
So he's now dribbling
the ball forward.
755
00:35:28,360 --> 00:35:32,440
So, are you using this information
to look at what did happen and work
756
00:35:32,440 --> 00:35:35,480
out what should have happened?
So, we use this in a number of ways.
757
00:35:35,480 --> 00:35:37,160
The main way we use this is
758
00:35:37,160 --> 00:35:40,200
to evaluate player performance
after the game.
759
00:35:40,200 --> 00:35:43,000
And in this particular game,
if we play on one more time,
760
00:35:43,000 --> 00:35:44,880
what was the result of this
sequence?
761
00:35:44,880 --> 00:35:47,640
So if we pause it right about now,
762
00:35:47,640 --> 00:35:49,680
you can see Trent Alexander-Arnold
763
00:35:49,680 --> 00:35:51,720
now has the ball
very close to the goal.
764
00:35:51,720 --> 00:35:54,520
He's in a good position,
but his best option now is to pass
765
00:35:54,520 --> 00:35:57,240
into this red area here,
where it can either be received
766
00:35:57,240 --> 00:36:01,080
by Mane or Shaqiri,
who is number 23 down here.
767
00:36:01,080 --> 00:36:03,320
One of these two players
is most likely to get
768
00:36:03,320 --> 00:36:04,920
to this red zone.
769
00:36:04,920 --> 00:36:07,560
And in actual fact, what happens
in this particular situation,
770
00:36:07,560 --> 00:36:09,080
is that Mane receives the ball
771
00:36:09,080 --> 00:36:11,240
right round about here,
and he scores a goal.
772
00:36:11,240 --> 00:36:13,280
Which is exactly what
you want. Exactly.
773
00:36:13,280 --> 00:36:15,800
So are you using this stuff
to just analyse your team
774
00:36:15,800 --> 00:36:18,160
or are you using it to analyse
other teams, too?
775
00:36:18,160 --> 00:36:21,720
So the advantage of this is we see
all of the players at the same time,
776
00:36:21,720 --> 00:36:24,040
which means that we can
analyse all of the players
777
00:36:24,040 --> 00:36:27,960
within the Premier League and a
large number of players in all sorts
778
00:36:27,960 --> 00:36:30,920
of other leagues around the world,
using the ball touch event data.
779
00:36:30,920 --> 00:36:34,400
And that gives us some really
good information on which players
780
00:36:34,400 --> 00:36:37,240
are doing well and who we might
be able to sign in the future.
781
00:36:37,240 --> 00:36:39,920
Ultimately, to give you the best
chance possible at beating your
782
00:36:39,920 --> 00:36:41,680
opponent. Exactly. Amazing.
783
00:36:41,680 --> 00:36:44,520
Tim, thank you so much for joining
us. Thank you.
784
00:36:44,520 --> 00:36:47,480
APPLAUSE
785
00:36:47,480 --> 00:36:48,880
That's the thing about being lucky.
786
00:36:48,880 --> 00:36:51,040
Sometimes it's not just
about what YOU do,
787
00:36:51,040 --> 00:36:53,800
but also about
who you're up against,
788
00:36:53,800 --> 00:36:57,600
and if winning is what you're after,
something rather intriguing happens
789
00:36:57,600 --> 00:37:01,320
when you start to look
at the maths of competition.
790
00:37:01,320 --> 00:37:05,120
OK, so for this, I would like
two volunteers who are willing
791
00:37:05,120 --> 00:37:07,160
to compete against one another.
792
00:37:07,160 --> 00:37:09,520
OK, perfect.
If you want to come down here.
793
00:37:09,520 --> 00:37:13,320
That's one, and we'll get
someone from over here.
794
00:37:13,320 --> 00:37:15,360
Round of applause.
Welcome to the stage.
795
00:37:15,360 --> 00:37:16,680
APPLAUSE
796
00:37:16,680 --> 00:37:20,280
What was your name? Nat.
Perfect, OK, Nat.
797
00:37:20,280 --> 00:37:22,680
Thank you. And what was your name?
Jasmine. Hm?
798
00:37:22,680 --> 00:37:26,120
Jasmine. Jasmine.
OK, Nat and Jasmine, right, OK.
799
00:37:26,120 --> 00:37:29,640
This game is called
Goodie or Baddie,
800
00:37:29,640 --> 00:37:33,280
right, and the reason why is because
in every round you have two choices.
801
00:37:33,280 --> 00:37:35,440
You can either decide
to be a goodie,
802
00:37:35,440 --> 00:37:37,720
in which case
you put on your red hat,
803
00:37:37,720 --> 00:37:40,440
or you can decide to be a baddie,
804
00:37:40,440 --> 00:37:43,160
in which case
you put on your purple hat.
805
00:37:43,160 --> 00:37:46,720
And what we're going to do is
we're going to play four rounds,
806
00:37:46,720 --> 00:37:49,160
and in each round you have
a chance to win some points.
807
00:37:49,160 --> 00:37:52,880
If you get to 12 points
in those four rounds,
808
00:37:52,880 --> 00:37:58,080
then you win an amazing goody bag,
OK? I mean, it's pretty special.
809
00:37:58,080 --> 00:38:00,000
So this is the way that it works,
OK?
810
00:38:00,000 --> 00:38:03,120
If both of you decide
to be a goodie,
811
00:38:03,120 --> 00:38:06,280
then you will end up
getting three points each.
812
00:38:06,280 --> 00:38:08,640
If both of you
decide to be a baddie,
813
00:38:08,640 --> 00:38:10,440
you will end up
getting one point each.
814
00:38:10,440 --> 00:38:13,440
But if one of you
decides to be a goodie
815
00:38:13,440 --> 00:38:15,400
and the other person
decides to be a baddie,
816
00:38:15,400 --> 00:38:16,960
then the baddie takes everything.
817
00:38:16,960 --> 00:38:20,440
They get five points
and the other person gets nothing.
818
00:38:20,440 --> 00:38:23,680
OK? Remember, four rounds.
You have to get 12 points.
819
00:38:23,680 --> 00:38:24,920
You happy? OK, all right.
820
00:38:24,920 --> 00:38:27,360
Turn around, so you can't
see each other's choices.
821
00:38:27,360 --> 00:38:29,040
Here we go. OK. Here we go.
822
00:38:29,040 --> 00:38:31,240
So, red for goodie,
purple for baddie.
823
00:38:31,240 --> 00:38:34,120
Make your choices now.
824
00:38:34,120 --> 00:38:35,960
Oh!
825
00:38:35,960 --> 00:38:37,680
Turn around
and have a look at each other.
826
00:38:37,680 --> 00:38:40,840
Oh! OK. All right.
Five points, five points there.
827
00:38:40,840 --> 00:38:43,000
One, two, three, four, five.
828
00:38:43,000 --> 00:38:45,800
OK. All right. Round 2. Round 2.
Here we go. Here we go.
829
00:38:45,800 --> 00:38:47,240
OK. Round 2.
830
00:38:47,240 --> 00:38:48,840
He stole some points off you
that time.
831
00:38:48,840 --> 00:38:50,040
Let's go for Round 2.
832
00:38:50,040 --> 00:38:51,360
Go.
833
00:38:51,360 --> 00:38:53,120
Oh! Payback!
834
00:38:53,120 --> 00:38:54,600
Turn around, turn around.
835
00:38:54,600 --> 00:38:57,000
Only one point each.
You blocked him there.
836
00:38:57,000 --> 00:38:59,360
OK, right. Round 3,
Round 3, here we go.
837
00:39:01,240 --> 00:39:03,480
Make your choice for Round 3.
838
00:39:05,440 --> 00:39:07,800
And turn around and
have a look at each other.
839
00:39:07,800 --> 00:39:09,160
Argh. Argh!
840
00:39:09,160 --> 00:39:10,960
You got him back. You got him back.
841
00:39:10,960 --> 00:39:13,040
OK. There's still one round left.
842
00:39:13,040 --> 00:39:15,360
One round left, turn around.
843
00:39:15,360 --> 00:39:16,840
Here we go. OK.
844
00:39:16,840 --> 00:39:19,320
Do you want to take your hat off
and make your choices?
845
00:39:19,320 --> 00:39:21,080
Go for it.
846
00:39:21,080 --> 00:39:22,600
LAUGHTER
847
00:39:22,600 --> 00:39:23,960
What an unsurprising ending.
848
00:39:23,960 --> 00:39:26,000
Turn around, have a look at
each other. OK.
849
00:39:26,000 --> 00:39:29,960
So neither of you... I'm afraid
neither of you got up to the line.
850
00:39:29,960 --> 00:39:32,400
Neither of you got into our points.
851
00:39:32,400 --> 00:39:34,800
But you know what's strange, though?
852
00:39:34,800 --> 00:39:36,480
There were four rounds.
853
00:39:36,480 --> 00:39:38,840
12 points was all you needed
to win a prize.
854
00:39:38,840 --> 00:39:41,520
If both of you had just played
goodie every single time,
855
00:39:41,520 --> 00:39:44,040
then you both would have walked away
with an amazing prize.
856
00:39:44,040 --> 00:39:46,120
The fact you played baddy,
you blocked each other.
857
00:39:46,120 --> 00:39:47,240
But, you know what?
858
00:39:47,240 --> 00:39:49,280
It's understandable, because,
OK, let's say...
859
00:39:49,280 --> 00:39:51,240
Mind if I take this hat
off your head for a second?
860
00:39:51,240 --> 00:39:56,240
Let's say your opponent
had chosen to be a baddie.
861
00:39:56,240 --> 00:39:58,520
In that situation,
you've got two choices, right?
862
00:39:58,520 --> 00:40:02,080
You can be a goodie, in which case
you get no points at all.
863
00:40:02,080 --> 00:40:04,600
Or you can be a baddie,
in which case you get one point.
864
00:40:04,600 --> 00:40:06,080
So, if your opponent's a baddie,
865
00:40:06,080 --> 00:40:08,640
being a baddie is definitely
the best thing to do.
866
00:40:08,640 --> 00:40:10,920
But what if... Do you mind switching
your hats for me?
867
00:40:10,920 --> 00:40:13,560
If your opponent instead had chosen
to be a goodie,
868
00:40:13,560 --> 00:40:16,160
let's think about what was
available to you.
869
00:40:16,160 --> 00:40:18,280
Be a goodie -
you get three points.
870
00:40:18,280 --> 00:40:20,600
Baddie - you get five points.
871
00:40:20,600 --> 00:40:24,320
So even in this situation it's best
off for you to be a baddie.
872
00:40:24,320 --> 00:40:28,320
So it turns out it doesn't matter
what your opponent does.
873
00:40:28,320 --> 00:40:32,640
In any one round, it is always best
for you to play the baddie,
874
00:40:32,640 --> 00:40:35,680
even though if you both
just played goodie,
875
00:40:35,680 --> 00:40:38,200
you both would have ended up
getting a prize.
876
00:40:38,200 --> 00:40:40,800
So thank you very much to my
volunteers.
877
00:40:40,800 --> 00:40:42,320
You're both very bad!
878
00:40:42,320 --> 00:40:44,240
APPLAUSE
879
00:40:48,560 --> 00:40:50,920
Not very Christmassy, is it?
Being bad to each other.
880
00:40:50,920 --> 00:40:54,000
Actually, this is a very famous
game among mathematicians
881
00:40:54,000 --> 00:40:57,280
and it goes to show that winning
isn't always about luck,
882
00:40:57,280 --> 00:41:00,960
but it also, I think, highlights one
of the great tragedies of humanity
883
00:41:00,960 --> 00:41:04,600
that sometimes the tempting thing
to do right then and there,
884
00:41:04,600 --> 00:41:07,120
doesn't actually lead
to the very best outcome overall.
885
00:41:07,120 --> 00:41:09,720
And actually, you see this
time and time again,
886
00:41:09,720 --> 00:41:12,800
the very tiny little selfish
choices that we all make,
887
00:41:12,800 --> 00:41:16,360
they add up to mean that eventually
we can all lose out.
888
00:41:16,360 --> 00:41:20,200
So it doesn't matter here whether
you're talking about climate change
889
00:41:20,200 --> 00:41:23,640
or plastic waste
or North Sea fishing.
890
00:41:23,640 --> 00:41:26,880
We often get sidetracked by the
really small choices in front of us
891
00:41:26,880 --> 00:41:30,560
rather than holding
the big picture in our minds.
892
00:41:30,560 --> 00:41:33,600
And part of that is a mathematical
reason, as we've just seen
893
00:41:33,600 --> 00:41:36,520
with that game, when the incentives
aren't set up
894
00:41:36,520 --> 00:41:38,840
to encourage really good behaviour.
895
00:41:38,840 --> 00:41:42,000
But I think it's also worth
remembering that as humans,
896
00:41:42,000 --> 00:41:45,840
we are not these perfectly
rational objects.
897
00:41:45,840 --> 00:41:48,440
If you really want to be lucky,
898
00:41:48,440 --> 00:41:52,680
then you have to take all of the
weirdnesses of humans into account.
899
00:41:52,680 --> 00:41:56,800
So, OK, let's have a look at some
of your weirdnesses as an audience.
900
00:41:56,800 --> 00:42:02,320
Underneath your seats, you should
have a whiteboard and a pen.
901
00:42:02,320 --> 00:42:05,520
What we're going to do, if you get
those out and get them ready...
902
00:42:05,520 --> 00:42:08,920
What we're going to do is
when I say "go",
903
00:42:08,920 --> 00:42:12,600
I want you to pick a number
completely at random
904
00:42:12,600 --> 00:42:14,320
between one and ten.
905
00:42:14,320 --> 00:42:17,160
I want you to write on your
whiteboard when I say go,
906
00:42:17,160 --> 00:42:18,960
and then we'll hold them up. OK.
907
00:42:18,960 --> 00:42:21,120
Number between one and ten,
completely at random.
908
00:42:21,120 --> 00:42:22,280
Go.
909
00:42:22,280 --> 00:42:24,160
And then hold it up
when you're finished,
910
00:42:24,160 --> 00:42:26,040
and let's have a look at
what you've got.
911
00:42:26,040 --> 00:42:28,480
OK, OK, let's have a little look
at what we've got.
912
00:42:28,480 --> 00:42:29,840
OK. What can I see here?
913
00:42:29,840 --> 00:42:31,160
OK, OK. All right.
914
00:42:31,160 --> 00:42:35,120
I'll tell you what, if you wrote
down a one, could you stand up?
915
00:42:36,560 --> 00:42:37,960
Oh! Hardly...
916
00:42:37,960 --> 00:42:40,280
Certainly not 10% of the audience,
that, is it?
917
00:42:40,280 --> 00:42:41,760
Thank you very much, sit down.
918
00:42:41,760 --> 00:42:44,280
If you wrote down a ten,
could you stand up?
919
00:42:44,280 --> 00:42:46,080
Oh, again, only a smattering.
920
00:42:46,080 --> 00:42:47,920
How intriguing. All right. Sit down.
921
00:42:47,920 --> 00:42:51,000
If you wrote down a seven,
could you stand up?
922
00:42:51,000 --> 00:42:53,400
Ooh! I see!
923
00:42:53,400 --> 00:42:55,240
All of a sudden...
924
00:42:55,240 --> 00:42:57,560
Thank you very much.
You can sit down.
925
00:42:57,560 --> 00:43:01,360
Now, in fact, actually, if you
play this with big groups of people,
926
00:43:01,360 --> 00:43:04,640
it almost always happens that seven
is the most common number,
927
00:43:04,640 --> 00:43:07,760
to be chosen. Huge swathes
of people will choose a seven.
928
00:43:07,760 --> 00:43:09,880
And there's a kind of strange
reason for that.
929
00:43:09,880 --> 00:43:12,760
If you're picking a random number,
one feels like it's too small.
930
00:43:12,760 --> 00:43:14,120
Ten feels like it's too big.
931
00:43:14,120 --> 00:43:15,840
Five is kind of too much
in the middle.
932
00:43:15,840 --> 00:43:17,320
Two's even - can't choose that one.
933
00:43:17,320 --> 00:43:18,960
Eight's sort of too neat.
934
00:43:18,960 --> 00:43:21,680
All the other numbers fall away,
and you're left,
935
00:43:21,680 --> 00:43:23,960
if you're picking a number
at random,
936
00:43:23,960 --> 00:43:27,560
with only seven really feeling like
the random number.
937
00:43:27,560 --> 00:43:30,400
I guess the point in all of this
is that you have to remember
938
00:43:30,400 --> 00:43:33,720
that human behaviour really
isn't actually random.
939
00:43:33,720 --> 00:43:36,680
Humans are not very good
logical machines.
940
00:43:36,680 --> 00:43:40,160
And what that means is that if you
really want to make yourself lucky,
941
00:43:40,160 --> 00:43:43,160
you've got to go beyond
the world of maths,
942
00:43:43,160 --> 00:43:45,560
because, you know, there
is actually some evidence
943
00:43:45,560 --> 00:43:48,720
that shows that just thinking you
are blessed with good fortune
944
00:43:48,720 --> 00:43:51,400
means you can actually
make your own luck.
945
00:43:51,400 --> 00:43:53,920
And there is someone who knows
quite a lot about this.
946
00:43:53,920 --> 00:43:56,920
This is Dr Michael Gervais
in Los Angeles.
947
00:43:56,920 --> 00:44:01,440
He's known as the secret weapon
of top athletes around the world.
948
00:44:01,440 --> 00:44:03,280
Hello, Michael. How are you doing?
949
00:44:03,280 --> 00:44:05,600
I'm fantastic. Great to be here.
Thank you, Hannah.
950
00:44:05,600 --> 00:44:08,080
You have worked with
a number of amazing people,
951
00:44:08,080 --> 00:44:09,280
haven't you, Michael?
952
00:44:09,280 --> 00:44:11,520
I've been fortunate, yes, for sure.
953
00:44:11,520 --> 00:44:13,800
What is it that you do?
954
00:44:13,800 --> 00:44:15,720
Well, by trade and training,
955
00:44:15,720 --> 00:44:18,120
I am a sport and performance
psychologist.
956
00:44:18,120 --> 00:44:22,280
So you're trying to get people
in the right mind-set to win?
957
00:44:22,280 --> 00:44:26,480
Yeah. There's three things
that we can train as humans.
958
00:44:26,480 --> 00:44:29,480
We can train our craft,
our body and our mind.
959
00:44:29,480 --> 00:44:32,040
And world-leading thinkers and doers
960
00:44:32,040 --> 00:44:34,960
are not leaving one of those three
up to chance.
961
00:44:34,960 --> 00:44:38,600
And the science is informing us
of best practices to be able
962
00:44:38,600 --> 00:44:41,920
to train our mind, to be able
to adjust to the unfolding,
963
00:44:41,920 --> 00:44:44,120
unpredictable, unknown.
964
00:44:44,120 --> 00:44:46,560
So do you have any top tips for us
965
00:44:46,560 --> 00:44:51,000
as to how to train our minds
to get the best out of ourselves?
966
00:44:51,000 --> 00:44:54,680
I wish I had tips and tricks
and hacks and short cuts,
967
00:44:54,680 --> 00:44:56,520
and there really aren't many,
968
00:44:56,520 --> 00:44:59,000
and so if we can learn from
the best in the world
969
00:44:59,000 --> 00:45:03,240
how to fundamentally organise your
life, to strengthen your mind,
970
00:45:03,240 --> 00:45:05,000
to deal with the unknown.
971
00:45:05,000 --> 00:45:08,320
And what we've come to find out is
that there are a handful of skills
972
00:45:08,320 --> 00:45:10,920
that people practice - mindfulness
being one of them,
973
00:45:10,920 --> 00:45:12,560
optimism being another.
974
00:45:12,560 --> 00:45:14,000
And those are trainable skills.
975
00:45:14,000 --> 00:45:16,200
Confidence is a trainable skill.
976
00:45:16,200 --> 00:45:20,280
Being able to be calm in any
environment is a trainable skill.
977
00:45:20,280 --> 00:45:24,360
So there's a handful of a few
that are most employed by most.
978
00:45:24,360 --> 00:45:27,840
I hear that you've worked
with a few daredevil skydivers.
979
00:45:27,840 --> 00:45:31,680
I think we have a little clip of
one of the people you've trained.
980
00:45:31,680 --> 00:45:34,760
Just tell us what Luke Aikins did.
He's here in the green. Absolutely.
981
00:45:34,760 --> 00:45:39,280
So, Luke Aikins is one of the most
extraordinary base jumpers,
982
00:45:39,280 --> 00:45:42,520
aeronautical flight folks
in the world.
983
00:45:42,520 --> 00:45:45,200
And what he did -
he was the first ever to do this -
984
00:45:45,200 --> 00:45:49,680
is that he jumped from 30,000 feet,
which in and of itself is a big deal
985
00:45:49,680 --> 00:45:53,360
because you need oxygen masks to be
able to carry enough oxygen.
986
00:45:53,360 --> 00:45:55,400
But he did it without a parachute.
987
00:45:55,400 --> 00:45:57,640
Without a parachute?!
He was the first person...
988
00:45:57,640 --> 00:45:59,880
Yeah, and he's the first person
to do that,
989
00:45:59,880 --> 00:46:03,560
and he jumped into a 16-storey net
that he and his team built.
990
00:46:03,560 --> 00:46:06,480
And so you were behind the scenes
in advance of this event,
991
00:46:06,480 --> 00:46:09,960
trying to get him to focus
in the right way?
992
00:46:09,960 --> 00:46:13,560
Yeah. When your life is on the line
and the stakes are high
993
00:46:13,560 --> 00:46:15,520
and consequences are real,
994
00:46:15,520 --> 00:46:18,000
nobody leaves very much
up to chance.
995
00:46:18,000 --> 00:46:20,560
And so training your mind is one
of the ways to help somebody
996
00:46:20,560 --> 00:46:23,400
have great command of themselves
under duress.
997
00:46:23,400 --> 00:46:25,840
And so absolutely, yeah,
this is one...
998
00:46:25,840 --> 00:46:28,480
This is an incredibly
dangerous project.
999
00:46:28,480 --> 00:46:30,080
Do you think he's mad?
1000
00:46:30,080 --> 00:46:31,920
LAUGHTER
1001
00:46:31,920 --> 00:46:33,120
I get that question a lot.
1002
00:46:33,120 --> 00:46:36,840
No, he is actually just like some of
the greatest mathematicians
1003
00:46:36,840 --> 00:46:40,080
in the world, just like some
of the greatest historians,
1004
00:46:40,080 --> 00:46:42,960
is that they go to the edges
of their potential.
1005
00:46:42,960 --> 00:46:45,480
And when somebody goes to the edges
of their potential,
1006
00:46:45,480 --> 00:46:48,000
they're taking the next
natural step.
1007
00:46:48,000 --> 00:46:49,960
And in some cases,
it changes humanity.
1008
00:46:49,960 --> 00:46:53,120
In other cases, maybe it
changes a family legacy.
1009
00:46:53,120 --> 00:46:56,720
But this is what the greats do,
is they add to their body of work
1010
00:46:56,720 --> 00:46:58,800
by extending their capabilities.
1011
00:46:58,800 --> 00:47:00,720
Now, in those extended areas,
1012
00:47:00,720 --> 00:47:03,280
in that place where they're not
quite sure
1013
00:47:03,280 --> 00:47:05,040
if they have what it takes,
1014
00:47:05,040 --> 00:47:09,200
that's where luck... We want to
diminish the amount of luck involved
1015
00:47:09,200 --> 00:47:12,080
and make sure that we're increasing
them out of skill.
1016
00:47:12,080 --> 00:47:16,480
And so is a lot of this about
helping them overcome their nerves?
1017
00:47:16,480 --> 00:47:20,480
Well, certainly the emotional
component to exploring one's
1018
00:47:20,480 --> 00:47:23,560
potential towards mastery,
towards high performance
1019
00:47:23,560 --> 00:47:27,320
and achievement and success -
emotions are part of it.
1020
00:47:27,320 --> 00:47:30,480
And emotions and thoughts
and environment
1021
00:47:30,480 --> 00:47:32,920
are the three legs to the stool.
1022
00:47:32,920 --> 00:47:36,600
And while we might not be able
to ever really manipulate our
1023
00:47:36,600 --> 00:47:38,960
environment, we can manage
our thoughts
1024
00:47:38,960 --> 00:47:40,600
that influence our emotions.
1025
00:47:40,600 --> 00:47:42,160
So those are the three components
1026
00:47:42,160 --> 00:47:44,160
that we want to make sure
we're investigating.
1027
00:47:44,160 --> 00:47:47,640
That's amazing. Dr Michael Gervais,
thank you very much for joining us.
1028
00:47:47,640 --> 00:47:50,080
APPLAUSE
1029
00:47:55,800 --> 00:48:00,720
Feeling lucky - just feeling lucky -
can change your chances of success,
1030
00:48:00,720 --> 00:48:02,560
and as Dr Michael Gervais
was saying there,
1031
00:48:02,560 --> 00:48:04,280
it's all about fighting
your instincts,
1032
00:48:04,280 --> 00:48:05,560
about overriding your gut,
1033
00:48:05,560 --> 00:48:08,080
stepping outside of yourself
and being objective,
1034
00:48:08,080 --> 00:48:11,760
and I think there is something in
there that maths can empathise with.
1035
00:48:11,760 --> 00:48:14,240
OK, how about those people
who are really lucky?
1036
00:48:14,240 --> 00:48:17,000
So how about the ones... Not just
ones who have maths and bravery
1037
00:48:17,000 --> 00:48:20,320
on their side, but how about people
who walk away with the really big
1038
00:48:20,320 --> 00:48:23,280
prizes, the ones who stand
out from the crowd, right?
1039
00:48:23,280 --> 00:48:25,320
The real one-in-a-millions?
1040
00:48:25,320 --> 00:48:26,760
Well, I'll tell you what.
1041
00:48:26,760 --> 00:48:29,320
Let's try and find one,
because what we're going to do
1042
00:48:29,320 --> 00:48:32,120
is we're going to whittle down
all of you
1043
00:48:32,120 --> 00:48:35,000
to find the luckiest
person in our audience.
1044
00:48:35,000 --> 00:48:36,960
You know how
we're going to do it?
1045
00:48:36,960 --> 00:48:38,520
We've got a game show.
1046
00:48:38,520 --> 00:48:40,520
APPLAUSE
1047
00:48:46,320 --> 00:48:49,240
So, are you feeling lucky?
1048
00:48:50,560 --> 00:48:53,360
I'd like to welcome my glamorous
assistant, Matthew Parker.
1049
00:48:53,360 --> 00:48:56,360
Now, OK, everybody, if you would
like to stand up
1050
00:48:56,360 --> 00:48:59,040
underneath your feet,
you should have two hats.
1051
00:48:59,040 --> 00:49:01,120
One is yellow. One is blue.
1052
00:49:01,120 --> 00:49:03,440
What we're going to do is
we're going to run a series
1053
00:49:03,440 --> 00:49:05,360
of semi-random rounds.
1054
00:49:05,360 --> 00:49:08,800
All you need to do is put on
your blue hat or your yellow hat,
1055
00:49:08,800 --> 00:49:12,280
whichever you think is most
likely to win.
1056
00:49:12,280 --> 00:49:16,120
If you are unlucky and you get one
of the semi-random rounds incorrect
1057
00:49:16,120 --> 00:49:18,800
I'm afraid you then have
to sit down.
1058
00:49:18,800 --> 00:49:20,560
You are out of the game.
1059
00:49:20,560 --> 00:49:23,000
If you get it correct,
you stay standing up.
1060
00:49:23,000 --> 00:49:24,800
You're through to
the next round.
1061
00:49:24,800 --> 00:49:26,480
OK, are you ready to play?
1062
00:49:26,480 --> 00:49:27,680
Let's go.
1063
00:49:30,280 --> 00:49:31,960
Round 1.
1064
00:49:31,960 --> 00:49:35,440
Which of these two
balloons is going to explode
1065
00:49:35,440 --> 00:49:37,520
in a ball of fire?
1066
00:49:37,520 --> 00:49:40,040
Is it yellow or blue?
Make your votes now.
1067
00:49:42,960 --> 00:49:44,320
Everyone's voted.
1068
00:49:44,320 --> 00:49:45,760
It's quite loud.
1069
00:49:45,760 --> 00:49:47,240
Cover your ears. Here we go.
1070
00:49:47,240 --> 00:49:49,720
Ready? The blue one is...
1071
00:49:49,720 --> 00:49:52,200
BALLOON POPS
..not explosive.
1072
00:49:52,200 --> 00:49:54,400
Which means the yellow one...
1073
00:49:54,400 --> 00:49:57,000
DEEP BOOM
..is!
1074
00:49:57,000 --> 00:49:59,200
Blue, you are wrong. Sit down.
1075
00:49:59,200 --> 00:50:01,400
Yellow, stay standing up.
1076
00:50:02,600 --> 00:50:05,000
Everybody, hats off.
1077
00:50:06,080 --> 00:50:07,680
Round 2.
1078
00:50:09,320 --> 00:50:11,360
APPLAUSE
1079
00:50:15,280 --> 00:50:17,280
Round two is a race.
1080
00:50:17,280 --> 00:50:21,080
If you think the blue channel
cockroach will win,
1081
00:50:21,080 --> 00:50:22,560
put on your blue hat.
1082
00:50:22,560 --> 00:50:25,800
If you think the yellow cockroach
will win, yellow hat.
1083
00:50:25,800 --> 00:50:27,200
Everyone ready?
1084
00:50:27,200 --> 00:50:28,840
And they're off.
1085
00:50:29,880 --> 00:50:31,600
LAUGHTER
Come on!
1086
00:50:31,600 --> 00:50:33,960
SHOUTS OF ENCOURAGEMENT
1087
00:50:35,800 --> 00:50:37,560
FROM AUDIENCE: Come on, blue!
1088
00:50:37,560 --> 00:50:38,600
Blue, blue, blue!
1089
00:50:41,120 --> 00:50:42,440
Oops.
1090
00:50:47,720 --> 00:50:49,160
And the winner is...
1091
00:50:49,160 --> 00:50:50,760
Blue!
1092
00:50:50,760 --> 00:50:52,400
APPLAUSE
1093
00:50:54,840 --> 00:50:56,440
Yellows, sit down.
1094
00:50:56,440 --> 00:50:58,480
Blues, stay up. Hats off.
1095
00:51:00,480 --> 00:51:02,200
Round 3.
1096
00:51:02,200 --> 00:51:03,280
APPLAUSE
1097
00:51:04,720 --> 00:51:06,400
OK, everyone.
1098
00:51:06,400 --> 00:51:08,080
I've got a pancake here.
1099
00:51:08,080 --> 00:51:10,560
One side of it is yellow.
One side of it is blue.
1100
00:51:10,560 --> 00:51:14,720
Once I flip the pancake,
which side will land face up?
1101
00:51:14,720 --> 00:51:17,000
Yellow or blue?
Make your votes now.
1102
00:51:17,000 --> 00:51:19,040
Here we go. Ready?
1103
00:51:20,600 --> 00:51:22,200
Oh!
SHE CHUCKLES
1104
00:51:22,200 --> 00:51:23,840
It's yellow!
1105
00:51:23,840 --> 00:51:26,360
Blues, you lose. Sit down.
1106
00:51:26,360 --> 00:51:28,360
Yellow, you are through
to the next round.
1107
00:51:28,360 --> 00:51:30,320
Everybody, hats off.
1108
00:51:31,360 --> 00:51:33,080
Round 4.
1109
00:51:38,840 --> 00:51:41,080
I found this person backstage.
1110
00:51:41,080 --> 00:51:43,800
Is their name Dave? Is it Tom?
1111
00:51:43,800 --> 00:51:46,080
If you think it's Dave, blue hat,
Tom, yellow hat.
1112
00:51:46,080 --> 00:51:48,440
Look at him. That's the facial hair
of a Dave,
1113
00:51:48,440 --> 00:51:50,680
but the shirt of a Tom.
What do you reckon?
1114
00:51:50,680 --> 00:51:52,560
OK.
1115
00:51:52,560 --> 00:51:53,880
Hats on.
1116
00:51:53,880 --> 00:51:55,200
And the correct name is...
1117
00:51:57,200 --> 00:51:59,360
It's Tom!
1118
00:51:59,360 --> 00:52:01,160
Blues, sit down.
1119
00:52:01,160 --> 00:52:02,760
Yellows, stay up.
1120
00:52:02,760 --> 00:52:04,560
Hats off.
1121
00:52:06,920 --> 00:52:08,840
Round 5.
1122
00:52:08,840 --> 00:52:10,800
APPLAUSE
1123
00:52:13,160 --> 00:52:17,640
Who is tonight's extra special
celebrity guest?
1124
00:52:17,640 --> 00:52:21,760
Is it Operation Ouch's
Dr Xand van Tulleken
1125
00:52:21,760 --> 00:52:25,560
or Operation Ouch's
Dr Chris van Tulleken?
1126
00:52:25,560 --> 00:52:28,720
Yellow or blue. Make your bets now.
1127
00:52:32,960 --> 00:52:34,840
And the answer is...
1128
00:52:34,840 --> 00:52:37,160
Hey, everybody!
1129
00:52:37,160 --> 00:52:38,960
Which one are you?
1130
00:52:38,960 --> 00:52:41,840
What?! We've known each other
for years.
1131
00:52:41,840 --> 00:52:44,360
It's Xand van Tulleken! OK.
1132
00:52:44,360 --> 00:52:46,480
Yellow, you are through to
the next round.
1133
00:52:46,480 --> 00:52:48,480
Thanks, Xand, that's all we
need from you.
1134
00:52:48,480 --> 00:52:50,400
Blues, sit down.
Everybody, hats off.
1135
00:52:52,160 --> 00:52:53,440
Round 6.
1136
00:52:53,440 --> 00:52:55,680
APPLAUSE
1137
00:52:56,960 --> 00:52:58,520
All right.
1138
00:53:00,560 --> 00:53:02,600
Am I wearing blue socks?
1139
00:53:02,600 --> 00:53:04,640
Am I wearing yellow socks?
1140
00:53:04,640 --> 00:53:07,120
Vote now with your hats.
Blue or yellow socks?
1141
00:53:07,120 --> 00:53:09,640
Blue hats for blue,
yellow for yellow.
1142
00:53:09,640 --> 00:53:11,880
Yellow, blue, blue, blue, yellow.
1143
00:53:11,880 --> 00:53:13,520
OK. Are you ready?
1144
00:53:13,520 --> 00:53:15,000
They are...
1145
00:53:15,000 --> 00:53:16,840
Have you ever...blue?
1146
00:53:16,840 --> 00:53:18,080
Ready?
1147
00:53:18,080 --> 00:53:20,120
Yellow!
1148
00:53:20,120 --> 00:53:22,880
Blues, you're down.
Yellows, stay up.
1149
00:53:24,360 --> 00:53:26,440
Who've we got? One over there.
1150
00:53:26,440 --> 00:53:28,400
We've got two over there.
1151
00:53:28,400 --> 00:53:29,840
We've got one over there.
1152
00:53:29,840 --> 00:53:31,720
OK, everybody. Hats off.
1153
00:53:33,800 --> 00:53:35,440
Round 7.
1154
00:53:35,440 --> 00:53:37,000
APPLAUSE
1155
00:53:40,280 --> 00:53:44,120
Which one of my two party blowers is
going to be longer when I blow it?
1156
00:53:44,120 --> 00:53:46,520
Is it going to be blue or yellow?
1157
00:53:46,520 --> 00:53:47,960
Make your vote now.
1158
00:53:49,240 --> 00:53:51,400
OK. They've made their bets.
All right, here we go.
1159
00:53:52,360 --> 00:53:53,960
PARTY BLOWERS SQUEAK
1160
00:53:53,960 --> 00:53:55,800
And the answer was blue.
1161
00:53:55,800 --> 00:53:58,040
Yellow, you lose.
1162
00:53:58,040 --> 00:54:00,080
Blue, you're through
to the next round.
1163
00:54:00,080 --> 00:54:01,720
Final Round.
1164
00:54:02,920 --> 00:54:04,920
APPLAUSE
1165
00:54:06,880 --> 00:54:08,120
OK.
1166
00:54:08,120 --> 00:54:10,160
We've got three people left.
1167
00:54:10,160 --> 00:54:13,200
This one is a straight run
between me and Matt
1168
00:54:13,200 --> 00:54:16,440
as to who can get the balloon on
their head to pop first.
1169
00:54:16,440 --> 00:54:18,040
Who wants to go... We need to...
1170
00:54:18,040 --> 00:54:19,800
You need to pick a team this time.
1171
00:54:19,800 --> 00:54:21,600
So who wants to go for me?
1172
00:54:22,840 --> 00:54:24,920
Thank you.
And who's going for Matt?
1173
00:54:24,920 --> 00:54:27,920
Thank goodness that music
doesn't get annoying.
1174
00:54:27,920 --> 00:54:30,360
We have got... Let's have a look.
1175
00:54:30,360 --> 00:54:33,040
We've got two blue and one yellow.
Interesting.
1176
00:54:33,040 --> 00:54:34,520
Interesting. OK.
1177
00:54:34,520 --> 00:54:36,880
OK, ready, Matt? Ready.
1178
00:54:36,880 --> 00:54:38,600
Three, two, one.
1179
00:54:38,600 --> 00:54:39,680
Go.
1180
00:54:41,280 --> 00:54:43,120
AUDIENCE SHOUTS ENCOURAGEMENT
1181
00:54:47,160 --> 00:54:48,560
BALLOON POPS
1182
00:54:48,560 --> 00:54:50,160
CHEERS AND APPLAUSE
1183
00:54:51,960 --> 00:54:53,720
Right.
1184
00:54:55,560 --> 00:54:59,800
Tie breaker, will the blue/yellow
coin land blue or yellow?
1185
00:54:59,800 --> 00:55:01,280
You've gone for yellow.
1186
00:55:01,280 --> 00:55:03,160
You're going to go for blue.
Are you ready?
1187
00:55:03,160 --> 00:55:04,760
And the winner is...
1188
00:55:05,960 --> 00:55:09,360
Yellow! You're the luckiest
person in the room!
1189
00:55:09,360 --> 00:55:10,400
The luckiest person!
1190
00:55:10,400 --> 00:55:12,040
APPLAUSE
1191
00:55:15,400 --> 00:55:17,320
Amazing!
1192
00:55:23,480 --> 00:55:24,880
The winner!
1193
00:55:24,880 --> 00:55:27,440
Abi, the luckiest person
in our audience,
1194
00:55:27,440 --> 00:55:29,680
we've got a crown for you.
1195
00:55:29,680 --> 00:55:31,320
We've got a trophy for you.
1196
00:55:31,320 --> 00:55:33,360
We're not going to
give these to you just yet
1197
00:55:33,360 --> 00:55:34,920
because we really want you to prove
1198
00:55:34,920 --> 00:55:36,960
that you are the luckiest person
in the audience.
1199
00:55:36,960 --> 00:55:38,800
So what you've got to do, Abi,
1200
00:55:38,800 --> 00:55:42,240
is you have got to just land
a ping pong ball into that, OK?
1201
00:55:42,240 --> 00:55:43,880
Now, we know you're lucky.
1202
00:55:43,880 --> 00:55:45,720
I mean, you just beat everyone
in this room,
1203
00:55:45,720 --> 00:55:47,720
so we're not going to make it
too easy for you.
1204
00:55:47,720 --> 00:55:49,520
Come and follow me.
1205
00:55:49,520 --> 00:55:52,440
We're going to shoot the
ping pong ball from up here.
1206
00:55:54,280 --> 00:55:55,960
Let's see how lucky you really are.
1207
00:55:55,960 --> 00:55:57,480
We want you to get that crown.
1208
00:55:57,480 --> 00:55:59,200
We want you to get that trophy.
1209
00:56:00,280 --> 00:56:02,360
So if you just want to stand
in there.
1210
00:56:02,360 --> 00:56:06,560
Your job now, Abi, is to try
and fire it into there.
1211
00:56:06,560 --> 00:56:08,360
Let's give her some encouragement.
1212
00:56:08,360 --> 00:56:09,760
Yes! Come on!
1213
00:56:09,760 --> 00:56:11,520
CHEERS AND APPLAUSE
1214
00:56:13,520 --> 00:56:15,360
Come on, you're the luckiest person.
1215
00:56:15,360 --> 00:56:17,280
Not bad.
1216
00:56:17,280 --> 00:56:18,760
OK, we'll give it another go.
1217
00:56:18,760 --> 00:56:20,640
Come on. We really want
to get the crown. Come on.
1218
00:56:21,880 --> 00:56:23,680
Oh, it's pretty close.
1219
00:56:25,040 --> 00:56:28,480
It's almost like they weren't lucky
and someone just had to win!
1220
00:56:28,480 --> 00:56:32,960
We can speed this up
if we bring in the string.
1221
00:56:37,520 --> 00:56:39,520
Thank you for the string!
1222
00:56:41,160 --> 00:56:43,640
Of course, because the more times
that you do something,
1223
00:56:43,640 --> 00:56:45,440
even if it's really unlikely,
1224
00:56:45,440 --> 00:56:48,320
eventually it becomes
a mathematical certainty.
1225
00:56:48,320 --> 00:56:49,680
Here we go.
1226
00:56:52,160 --> 00:56:55,320
Abi, we're going to put
some safety glasses on you. OK.
1227
00:56:55,320 --> 00:56:58,320
We're going to give you
a scary-looking glove.
1228
00:57:02,560 --> 00:57:04,120
OK, so this sets fire.
1229
00:57:04,120 --> 00:57:06,680
Can you give us a test click,
make sure it's working?
1230
00:57:06,680 --> 00:57:08,960
OK. You're going to, in a second,
we'll count down.
1231
00:57:08,960 --> 00:57:11,480
You're going to set fire
to the string. Are you ready?
1232
00:57:11,480 --> 00:57:15,480
Count down from...
Everyone. Three, two, one, go!
1233
00:57:15,480 --> 00:57:17,320
Whoa!
1234
00:57:36,440 --> 00:57:39,160
Surely one's going to go in!
1235
00:57:39,160 --> 00:57:40,200
Come on!
1236
00:57:50,600 --> 00:57:52,120
Whoa.
1237
00:57:52,120 --> 00:57:54,680
Hang on, hang on, hang on, hang on.
1238
00:57:54,680 --> 00:57:56,880
There's one in there!
1239
00:57:56,880 --> 00:57:58,360
CHEERS AND APPLAUSE
1240
00:57:58,360 --> 00:58:00,560
You're the luckiest person
in the audience!
1241
00:58:03,040 --> 00:58:04,560
So, OK, everyone.
1242
00:58:04,560 --> 00:58:07,600
We have just discovered how we can
use our understanding of maths
1243
00:58:07,600 --> 00:58:10,080
to get lucky, and in the next
section, we're going to explore
1244
00:58:10,080 --> 00:58:12,680
how we can up our chances of winning
at even bigger challenges,
1245
00:58:12,680 --> 00:58:15,480
and learn that bending the rules
can sometimes be good.
1246
00:58:15,480 --> 00:58:16,880
Goodnight.
1247
00:58:16,880 --> 00:58:18,520
The luckiest person!
1248
00:58:18,520 --> 00:58:21,000
CHEERS AND APPLAUSE
105310
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