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Have you ever wondered how
intelligent you are

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compared to your friends,
your colleagues

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and the rest of the nation?

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Are you worried that your smartphone
is making you stupid

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and can the latest
science make you cleverer?

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We're measuring the brainpower
of the British public

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in the largest intelligence test of
its kind ever undertaken.

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All across the country,

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more than a quarter of a
million of you

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have taken part in our
ground-breaking test

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that's been analysed
by leading experts

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to help transform our
understanding of intelligence.

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Now we can even reveal how factors
such as your lifestyle

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and social media use can
affect your brain power -

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and what we can all do
to be a little bit smarter.

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Tonight, we're in Glasgow,
at BBC Scotland, to unveil...

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When grown adults can
be outsmarted by ten-year-olds...

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Which are the brainiest
parts of the country...

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..and whether your gender
really can affect your intelligence.

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So, if you want to play along,
learn how to boost your brainpower,

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and find out just how
intelligent Britain is,

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we have the answers.

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So far, a whopping 250,000 of you
have done our intelligence test

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and, tonight, some of you will be
battling it out here, in the studio.

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Our online quiz was designed

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by scientists at
Imperial College London

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to measure our ability
to solve problems.

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Our attention span, verbal
abilities, emotional intelligence,

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spatial awareness and memory.

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Analysed alongside a detailed
lifestyle questionnaire,

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the results can help us
identify our strengths

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and improve our weaknesses.

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And, by drilling down into this
unique dataset,

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we can understand the nation's
intelligence like never before.

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Here in the studio,

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we've got teams who volunteered
to help us show

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how different factors - such
as age, gender and hobbies -

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could impact our intelligence

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and what we can do about it.

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We've got a team of youngsters
here and a team who are,

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shall we say,
a bit more experienced?

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There are men versus women.

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And we've got some avid gamers...

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Playing against voracious readers.

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How are you all feeling, everyone?
Ready for battle?

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Oh, yes. Yes.

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And you can play along at home.

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Go online, to The Great British
Intelligence Test website,

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at the address on-screen now,
to play the games yourself.

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First, we're going to look at one
of THE most important elements

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of intelligence -
our ability to solve problems.

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We asked you if you think
this critical skill

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is affected by age.

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The sort of people who'd be
best at problem solving...

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..I don't even know. Sorry.

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People who've studied a
lot of physics and maths.

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The likes of my dad,
that was a chemistry teacher.

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I probably would say
people...probably in primary school.

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18 to 22, maybe.

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Somebody in their 40s.

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Probably around your 50s.

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So you've got good
knowledge behind you.

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To find out how age
affects our ability

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to solve some tricky problems,

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we're going to be pitting
a team of youngsters,

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all in their 20s, against a team
who've clocked up a few more miles -

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they're between their 40s
and their late 60s.

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Nigel, you're a
lecturer in genetics, right?

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I am, yes. So, do you consider
yourself a good problem solver?

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I'd like to think so. Yes.

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How about you, Tushin? You do lots
of puzzles with your son, right?

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I do. He's just done his 11+.

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With your help?

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I'd say that I did some with him.

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THEY LAUGH

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OK. This is our older team.

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Over here, we have our younger team.

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Joshua, what do you think?

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Is youth going to win out?

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I hope so.
I'm not too optimistic.

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You know what, though?

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I noticed you staring down
the other team earlier on,

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so I get the sense you're
quite a competitive person.

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Absolutely.

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Lucie, who do you think would be
better at this kind of task -

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parents or kids?

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I would say parents, I think
they've got a bit more experience.

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OK. She's rooting for you guys.

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We're going to see
how this plays out. OK.

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Like all problem-solving,

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what you need to do
is identify the issue,

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analyse it and decide
what to do next.

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Here's how this game works.

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What you'll see is two grids,
like this,

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and your job is to create a shape

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from all of
these coloured blocks here

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to match the silhouettes
on the right-hand side.

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Tap on these blocks to
destroy them, like this.

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But you need to be careful
because, if there is nothing below,

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then these blocks are
going to fall, like that.

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So, what you need do is, you
need to imagine the shape

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that's going to be created
before pressing.

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Now, first up, we're going
to have our older,

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and some would say wiser, team.

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You're going to take it
in turns between you.

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Everyone happy? Yes.
All right, take it away.

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It's surprisingly tough, this game.

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Harder than it looks.

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Oh, bad luck. Bad luck.

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You have to have a picture in
your mind what's going to happen.

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Well done, Tushin. Very nice.

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Unlucky, Margaret.

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Fantastic. Very good, very good.

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OK, see if you can get this one.

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Well done. OK.

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Ah, you were just about
getting on a roll then.

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OK. Between you,
you got three points.

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OK. Younger team,
think you can beat that?

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Yeah. Why not?

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Confidence, I like it. OK.

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Everyone happy to give it a go?

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Yeah. Right. Take it away.

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Oh, straight in. Amazing.

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Ah, unlucky.

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Oh, my goodness me.

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I didn't even look at the screen
before you'd pressed that one.

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It's not looking good for you guys.

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It's not looking good.

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Very good.

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So, here we have the scores.

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The younger... Older, three points.

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Younger, the winners
there, with five points.

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I think that's what counts
as a decisive victory.

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Well done, younger team.

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Older team, don't worry,
though, you're not alone

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because, thanks to
all of you at home

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who have already
taken his test online,

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we also have a national picture

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of this exact same puzzle.

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It turns out that the best
problem solvers in the country

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actually came from Bristol.

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So, something good in the
water going on down there.

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We also saw a connection
with the amount of

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fruit and vegetables that you eat.

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So, the more you eat,
the better the result.

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Though, of course,
we don't know whether

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the greens could be making us clever

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or whether clever people simply make
healthier food choices.

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But the biggest factor,
by far, in this was age.

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You can see how problem-solving
ability is highest

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when we're in our 20s
and then slowly declines

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as we as we get a little bit older.

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So, there you go, younger team.

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You're in your prime!
Enjoy it while it lasts.

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And, older team, here's an
intriguing fact for you.

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If you have a look
at this graph here, OK?

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The average performance
of someone aged 40

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is about the same as a 12-year-old.

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So, Tushin, you and your son,

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turns out you're quite well matched.
Yep.

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But it's really important,
in all of this, to say that

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there are other aspects
of intelligence.

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It's not just all
down to problem-solving.

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We all have different
strengths and weaknesses,

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and those can change

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across our lives.

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How do we know this?

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Well, Michael, over to you.

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Thank you, Hannah.

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Right, it's time to meet the person

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who devised our test
and analysed the results -

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Dr Adam Hampshire from
Imperial College, London.

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Welcome, Adam.

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Now, I was blown away by the
number of people who applied.

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I mean, 250,000 people doing
that online test

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is pretty awesome, isn't it?

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It's a phenomenal number of people.

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It's the equivalent of about 125,000
hours of testing

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or, end-on-end, more than 14 years.

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With these sorts of numbers,

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we can ask very interesting
questions

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that pertain to how different types
of human intelligence

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relate to things like social
demographic variables,

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lifestyle variables, personality

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and perhaps, particularly
uniquely in this study,

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we also look at technology use.

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Absolutely. So, as well as asking
people to do

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the sort of intelligence tests,

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we got them to fill in lots of
other details about themselves.

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Yes, exactly.

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Some people would say that all IQ
tests really measure

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is people's ability to do IQ tests

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and it's nothing more than that.

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What would you say?

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I would say that those tests
have been very useful

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from a research perspective.

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They're predictive of how people
do in education or in their jobs.

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But groups like mine,
what we're focused on trying to do

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is use that information to develop
tests that measure

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the types of intelligence
that have their basis

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in different systems in the brain.

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This gives us a much finer grain

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on a person's intelligence profile.

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And perhaps just to give
you an example of that,

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if we use the
classic intelligence test,

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obviously 50% of people
would do worse than average.

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Now, on our test, round about 90%
of people do better than average

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on at least one test.

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And so what you're able
to do is identify

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where your personal strengths are.

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You can play to your strengths.

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Perhaps you can also try and improve
where your weaknesses are.

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Thank you very much, Adam.

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Now, Hannah, you very kindly pointed
out that people my age

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have much worse
problem-solving abilities.

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Do you have any
other bad news for me?

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Oh, yes. There's plenty more bad
news for you, I'm afraid, Michael,

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because it's not just
problem-solving ability, I'm afraid.

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Now, it won't be any surprise
to learn that our memory

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also gets worse as we get older,

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as does our spatial intelligence -

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which is what we use
to help us park a car -

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and our ability to focus
without getting distracted.

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These are all results from our
intelligence tests

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and they show that, by our 40s,

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when we feel like we're at the
prime in our work and in our life,

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we are, in fact,
in cognitive decline

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and, by our 50s and 60s...

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Well, Michael, sorry.

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Fortunately, I have had plenty of
time to come to terms with that.

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Now, if you want to find out how
good your brain is for your age,

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go online to the Great
British Intelligence Test website,

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at the address on-screen now,

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and test your problem-solving

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and reveal your brain age.

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But the big question in all
of this is obviously - why?

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Why is it, when we should
be older and wiser,

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do we get worse at problem solving?

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Well, here's a clue.

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It's a ruler, and we're going
to be doing a reaction time test.

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So, up you get! What I want you to
do is stick out your hand.

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This one here, please.

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And fingers like that.

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And I'm going to drop this ruler
in a moment,

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and you're going to catch it.

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I want to catch it as low
down the ruler as I can.

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You're going to try and grab
it as quickly as it can.

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Ready, steady, go! OK.
So, that's pretty good.

249
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You're about halfway down.
180 millimetres.

250
00:11:29,560 --> 00:11:30,720
180 millimetres, indeed.

251
00:11:30,720 --> 00:11:33,240
Now, the point of this test
is to measure your reaction time.

252
00:11:33,240 --> 00:11:34,880
It's quite a crude test, obviously,

253
00:11:34,880 --> 00:11:36,720
but your reaction times are,
in turn,

254
00:11:36,720 --> 00:11:38,920
a measure of your
cognitive processing speed -

255
00:11:38,920 --> 00:11:41,000
so the speed at which
your brain is working.

256
00:11:41,000 --> 00:11:43,200
So what happens if
we get you to do it?

257
00:11:43,200 --> 00:11:44,640
Let's have a go. OK.

258
00:11:44,640 --> 00:11:46,960
Do you want a longer ruler?
MICHAEL LAUGHS

259
00:11:46,960 --> 00:11:50,240
All right!
Has anyone got a metre stick...

260
00:11:50,240 --> 00:11:52,160
..that we can borrow?
I'm super-confident.

261
00:11:52,160 --> 00:11:54,680
You're quite competitive,
aren't you? I am, yes, exactly.

262
00:11:54,680 --> 00:11:56,800
OK. All right. OK.
When am I going to drop it?

263
00:11:56,800 --> 00:11:58,320
When am I going to drop it?

264
00:11:58,320 --> 00:12:00,040
Oh! Pretty similar, OK.

265
00:12:00,040 --> 00:12:02,760
So, maybe, I think that's
probably unlikely, frankly,

266
00:12:02,760 --> 00:12:04,480
because the honest truth is

267
00:12:04,480 --> 00:12:07,560
that Hannah's brain is almost
certainly processing information

268
00:12:07,560 --> 00:12:09,240
faster than mine.

269
00:12:09,240 --> 00:12:11,000
And she has nothing to be smug about

270
00:12:11,000 --> 00:12:13,080
because, in fact, research has shown

271
00:12:13,080 --> 00:12:16,280
that processing speed peaks
in our early 20s,

272
00:12:16,280 --> 00:12:17,720
some time ago,

273
00:12:17,720 --> 00:12:19,360
and decreases steadily after that,

274
00:12:19,360 --> 00:12:22,200
and this could be part of the reason
why some of our mental abilities

275
00:12:22,200 --> 00:12:23,800
decline with age.

276
00:12:23,800 --> 00:12:25,440
Cheeky. All right.

277
00:12:25,440 --> 00:12:27,080
But what is it is
that makes one brain

278
00:12:27,080 --> 00:12:28,880
cleverer than another
in the first place?

279
00:12:28,880 --> 00:12:31,400
Well, to find out if there is
something in the way their brain

280
00:12:31,400 --> 00:12:33,800
is structured that sets them apart,

281
00:12:33,800 --> 00:12:37,000
I enlisted the help of
a famously clever chap.

282
00:12:41,480 --> 00:12:44,000
Bobby Seagull is someone who has

283
00:12:44,000 --> 00:12:46,840
proved his
intelligence beyond doubt.

284
00:12:46,840 --> 00:12:49,240
He's a mathematician, author,
teacher

285
00:12:49,240 --> 00:12:51,720
and University Challenge
semifinalist.

286
00:12:53,280 --> 00:12:54,920
Emmanuel, Seagull.

287
00:12:54,920 --> 00:12:56,480
GDP. Correct.

288
00:12:56,480 --> 00:12:57,720
Emmanuel, Seagull.

289
00:12:57,720 --> 00:12:59,880
A dome. A dome is correct, yes.

290
00:12:59,880 --> 00:13:01,200
APPLAUSE

291
00:13:01,200 --> 00:13:03,680
You're a pretty smart guy, Bobby.
Reasonably. Reasonably.

292
00:13:03,680 --> 00:13:05,880
I'm kind of curious. I wonder
whether it's something

293
00:13:05,880 --> 00:13:07,720
about your brain that
makes you different.

294
00:13:07,720 --> 00:13:10,080
I've always thought it's about
my character, my spirit,

295
00:13:10,080 --> 00:13:11,920
it's my determination
that's got me places.

296
00:13:11,920 --> 00:13:14,000
Maybe you're wired differently.

297
00:13:14,000 --> 00:13:15,680
Maybe, we'll see.

298
00:13:17,000 --> 00:13:20,760
To find out whether clever
brains are different,

299
00:13:20,760 --> 00:13:24,280
Bobby is going to
have his brain scanned.

300
00:13:24,280 --> 00:13:25,960
This will take about 25 minutes.

301
00:13:27,800 --> 00:13:30,080
Experts at the University
of Edinburgh

302
00:13:30,080 --> 00:13:32,480
have been studying
thousands of brains,

303
00:13:32,480 --> 00:13:35,560
searching for anything that
might make some cleverer

304
00:13:35,560 --> 00:13:37,240
or faster than others.

305
00:13:37,240 --> 00:13:39,560
OK, we're just going to start
scanning

306
00:13:39,560 --> 00:13:41,600
and it's going to get very noisy.

307
00:13:41,600 --> 00:13:43,520
Are clever brains bigger?

308
00:13:43,520 --> 00:13:45,400
Are they wired differently?

309
00:13:45,400 --> 00:13:47,400
Are you all right there?

310
00:13:47,400 --> 00:13:51,920
Revealing the secrets of Bobby's
intelligence is Dr Simon Cox.

311
00:13:53,840 --> 00:13:56,480
Your brain volume is
extremely average... Oh.

312
00:13:56,480 --> 00:13:58,480
..if not a little bit lower
than average.

313
00:13:58,480 --> 00:14:00,760
Shall I just go home now?
"Lower than average"?

314
00:14:00,760 --> 00:14:02,960
A little bit, a little bit.
Smaller brain?

315
00:14:02,960 --> 00:14:04,360
That's correct, yes.

316
00:14:04,360 --> 00:14:05,880
Oh, Bobby!

317
00:14:05,880 --> 00:14:08,400
Clearly, when it comes
to intelligence,

318
00:14:08,400 --> 00:14:10,440
brain size isn't everything.

319
00:14:10,440 --> 00:14:12,920
But is there something in Bobby's
scans that could help

320
00:14:12,920 --> 00:14:15,720
to explain why his
brain works so well?

321
00:14:15,720 --> 00:14:18,200
This is a really nice
example of the grey matter,

322
00:14:18,200 --> 00:14:20,840
these grey areas around
the outside of the brain here,

323
00:14:20,840 --> 00:14:23,640
which is where the majority
of our brain cells sit.

324
00:14:23,640 --> 00:14:25,320
Bobby's got a very healthy brain,

325
00:14:25,320 --> 00:14:27,520
nicely filled out into
the...into the skull.

326
00:14:27,520 --> 00:14:29,480
Small brain, but densely packed.

327
00:14:29,480 --> 00:14:33,640
It's a way of keeping all of his
quiz knowledge in there. Strongly.

328
00:14:33,640 --> 00:14:37,080
Yeah. And where all the kind of
computation happens as well.

329
00:14:37,080 --> 00:14:39,720
It seems that individuals
that have more grey matter

330
00:14:39,720 --> 00:14:43,000
have slightly higher
cognitive ability.

331
00:14:43,000 --> 00:14:44,960
But Simon's research has shown that

332
00:14:44,960 --> 00:14:48,240
it's not just having more grey
matter that's important.

333
00:14:48,240 --> 00:14:50,080
Crucial to the speed of thinking

334
00:14:50,080 --> 00:14:51,680
is another part of the brain,

335
00:14:51,680 --> 00:14:53,160
the white matter.

336
00:14:53,160 --> 00:14:55,360
The white matter of the brain,
so you can see it here...

337
00:14:55,360 --> 00:14:57,800
The actual white stuff?
Exactly right.

338
00:14:57,800 --> 00:15:00,640
The actual white stuff houses
all of the diverse connections

339
00:15:00,640 --> 00:15:03,640
across all of these
different areas of the brain.

340
00:15:03,640 --> 00:15:06,520
A more detailed scan
of Bobby's white matter

341
00:15:06,520 --> 00:15:10,520
shows that it's made up of a
complex network of connections

342
00:15:10,520 --> 00:15:12,000
or neural pathways.

343
00:15:13,000 --> 00:15:16,080
These are routes between
different areas of the brain

344
00:15:16,080 --> 00:15:18,600
and how the information
is being transmitted along them,

345
00:15:18,600 --> 00:15:20,160
from one area to the next.

346
00:15:20,160 --> 00:15:22,360
So, to give you an idea of the scale
here,

347
00:15:22,360 --> 00:15:24,560
each one of these little lines,

348
00:15:24,560 --> 00:15:27,040
there are about 50,000
or so in this scan

349
00:15:27,040 --> 00:15:29,800
that we've identified, but there
are hundreds of billions

350
00:15:29,800 --> 00:15:31,320
of actual connections in your brain.

351
00:15:31,320 --> 00:15:33,920
They would stretch
four times around the Earth.

352
00:15:33,920 --> 00:15:37,080
It's not just the volume
of connections that matters,

353
00:15:37,080 --> 00:15:41,040
what's crucial is how well
signals travel along these routes.

354
00:15:41,040 --> 00:15:43,920
And there's a substance that
plays a critical role in this.

355
00:15:45,320 --> 00:15:49,640
They are insulated by a white,
fatty substance called myelin -

356
00:15:49,640 --> 00:15:54,120
what that allows for is efficient
communication of these signals.

357
00:15:54,120 --> 00:15:56,080
You're
literally thinking slower

358
00:15:56,080 --> 00:15:58,520
if your white matter
isn't well-insulated?

359
00:15:58,520 --> 00:16:01,000
That's absolutely right.

360
00:16:01,000 --> 00:16:04,640
Simon's research suggests
that these well-insulated pathways

361
00:16:04,640 --> 00:16:07,880
and fast communications
are something that clever brains,

362
00:16:07,880 --> 00:16:10,920
like Bobby's, have in common.

363
00:16:10,920 --> 00:16:14,760
Perhaps this can help explain why
Bobby is so quick on the buzzer.

364
00:16:14,760 --> 00:16:16,800
Emmanuel, Seagull.

365
00:16:16,800 --> 00:16:18,080
Albert Einstein.

366
00:16:18,080 --> 00:16:19,520
Correct.

367
00:16:21,280 --> 00:16:24,320
So if one of the things that
characterises intelligent brains

368
00:16:24,320 --> 00:16:27,400
is better connections, what's
happening in brains like mine

369
00:16:27,400 --> 00:16:29,200
that are slowing with age?

370
00:16:29,200 --> 00:16:30,800
Joining us is Professor Alan Gow.

371
00:16:30,800 --> 00:16:32,440
Welcome, Alan.

372
00:16:32,440 --> 00:16:35,120
So what is actually going on
in our brains as we get older?

373
00:16:35,120 --> 00:16:37,760
So, as our thinking skills
slow down as we age,

374
00:16:37,760 --> 00:16:40,360
there's a number of factors
that might explain that.

375
00:16:40,360 --> 00:16:42,800
One of them is the amount
of myelin we produce

376
00:16:42,800 --> 00:16:45,160
and, although we believe
we continue to produce myelin

377
00:16:45,160 --> 00:16:47,480
through the lifespan,
that slows down.

378
00:16:47,480 --> 00:16:51,080
As we get older, there is damage
that accrues to the myelin.

379
00:16:51,080 --> 00:16:55,160
The signals might not transmit
as smoothly, as fast.

380
00:16:55,160 --> 00:16:57,240
And also there may be some
interference

381
00:16:57,240 --> 00:16:59,000
between neighbouring connections.

382
00:16:59,000 --> 00:17:01,480
Right. So, quite a few
frayed connections up there.

383
00:17:01,480 --> 00:17:03,520
What other changes do
you see in the brain?

384
00:17:03,520 --> 00:17:04,840
You see these two images here.

385
00:17:04,840 --> 00:17:07,280
These are images from
people of the same age...

386
00:17:07,280 --> 00:17:09,360
Yeah. ..but this one here,
on the left-hand side,

387
00:17:09,360 --> 00:17:12,040
can you see we have these quite
obvious areas... That's not good.

388
00:17:12,040 --> 00:17:13,880
..of white, really bright white?

389
00:17:13,880 --> 00:17:16,120
That is showing us the
areas of the brain

390
00:17:16,120 --> 00:17:18,480
where there's been damage
to the white matter.

391
00:17:18,480 --> 00:17:22,720
One of the things underlying
that may be the damage to myelin.

392
00:17:22,720 --> 00:17:26,160
Another process that we see
is this a process called atrophy -

393
00:17:26,160 --> 00:17:30,160
that's a general shrinking
of brain volumes as we age.

394
00:17:30,160 --> 00:17:32,880
And if we look at the next image
of people of the same age,

395
00:17:32,880 --> 00:17:34,880
the brain on the left-hand side,

396
00:17:34,880 --> 00:17:39,280
there are some extra gaps between
the brain tissue and the skull.

397
00:17:39,280 --> 00:17:42,240
That suggests that person
has probably experienced

398
00:17:42,240 --> 00:17:43,760
a bit more shrinkage.

399
00:17:43,760 --> 00:17:45,360
Of course, to test that properly,

400
00:17:45,360 --> 00:17:48,600
we really want to scan the same
people multiple times.

401
00:17:48,600 --> 00:17:50,240
Right. OK. That's very striking.

402
00:17:50,240 --> 00:17:52,280
And all these changes
are inevitable?

403
00:17:52,280 --> 00:17:54,840
Well, no. Two images.

404
00:17:54,840 --> 00:17:56,880
People of roughly the same age,

405
00:17:56,880 --> 00:17:58,960
but different experiences.

406
00:17:58,960 --> 00:18:01,440
The amount of shrinkage,
atrophy, we might experience,

407
00:18:01,440 --> 00:18:05,880
the amount of damage to white matter
varies from person to person.

408
00:18:05,880 --> 00:18:08,200
And what we're really interested
in understanding then

409
00:18:08,200 --> 00:18:10,960
is what are the lifestyle
or behavioural factors

410
00:18:10,960 --> 00:18:13,800
that might predict
how well we maintain

411
00:18:13,800 --> 00:18:16,040
our brain health as we age.

412
00:18:16,040 --> 00:18:17,680
And these are the big questions

413
00:18:17,680 --> 00:18:19,280
we'll be exploring throughout the
show.

414
00:18:19,280 --> 00:18:20,760
Thank you very much, Alan.

415
00:18:20,760 --> 00:18:23,400
Now, how our lifestyle
affects our brain health

416
00:18:23,400 --> 00:18:26,560
and intelligence is one of the
hottest areas of research.

417
00:18:26,560 --> 00:18:27,840
There is evidence that,

418
00:18:27,840 --> 00:18:30,040
as our lifestyle has
changed down the years,

419
00:18:30,040 --> 00:18:31,880
so has our intelligence.

420
00:18:31,880 --> 00:18:33,720
Hannah, what's the news?

421
00:18:33,720 --> 00:18:36,160
Well, one of the brilliant things
about intelligence tests

422
00:18:36,160 --> 00:18:38,800
is that they have been around
for a very long time

423
00:18:38,800 --> 00:18:41,600
and that means that we can
see how our intelligence

424
00:18:41,600 --> 00:18:43,800
has been changing over time.

425
00:18:43,800 --> 00:18:46,920
And, in fact, it has increased.

426
00:18:48,040 --> 00:18:50,760
Between 1938 and 1979,

427
00:18:50,760 --> 00:18:53,400
British children's IQ scores

428
00:18:53,400 --> 00:18:55,880
increased by nearly ten points

429
00:18:55,880 --> 00:18:59,880
and another four points
then from 1979 to 2008.

430
00:18:59,880 --> 00:19:02,080
In fact, the increase
has been so much

431
00:19:02,080 --> 00:19:05,600
that they've had to recalibrate
these tests a number of times

432
00:19:05,600 --> 00:19:07,640
so that 100 points on an IQ test

433
00:19:07,640 --> 00:19:09,200
is still the average.

434
00:19:09,200 --> 00:19:12,520
So, what's the explanation
for this dramatic increase?

435
00:19:12,520 --> 00:19:14,640
Well, a lot's changed
in that time, right?

436
00:19:14,640 --> 00:19:17,040
We're eating much
better than we were,

437
00:19:17,040 --> 00:19:20,840
our education is better.

438
00:19:20,840 --> 00:19:23,000
but that could be one explanation.

439
00:19:23,000 --> 00:19:25,080
Now, the thing which is striking
to me

440
00:19:25,080 --> 00:19:26,560
is there is a bit of a drop-off.

441
00:19:26,560 --> 00:19:28,160
So has it plateaued?

442
00:19:28,160 --> 00:19:29,560
Well, no.

443
00:19:29,560 --> 00:19:32,320
So, this is something that's
very intriguing indeed

444
00:19:32,320 --> 00:19:36,040
because, in the 20th century,
IQ increased, increased, increased.

445
00:19:36,040 --> 00:19:37,960
But as you hit the 21st century,

446
00:19:37,960 --> 00:19:42,160
it's flattening off and, in
some cases, actually declining.

447
00:19:42,160 --> 00:19:44,400
There's one particular
study in Norway

448
00:19:44,400 --> 00:19:48,880
that showed that they've lost
seven IQ points per generation

449
00:19:48,880 --> 00:19:51,280
for those born after 1975.

450
00:19:51,280 --> 00:19:53,320
Wow, that is scary.

451
00:19:53,320 --> 00:19:55,800
So, what is driving the decline?

452
00:19:55,800 --> 00:19:59,680
Well that, Michael, is the
million-dollar question.

453
00:19:59,680 --> 00:20:01,880
And here, on The Great
British Intelligence Test,

454
00:20:01,880 --> 00:20:05,520
we wanted to investigate one of the
biggest changes in our lifestyles

455
00:20:05,520 --> 00:20:07,560
over the past couple of decades -

456
00:20:07,560 --> 00:20:09,600
the rise of digital technology -

457
00:20:09,600 --> 00:20:11,200
because we have no idea

458
00:20:11,200 --> 00:20:12,880
what it's doing to our brains

459
00:20:12,880 --> 00:20:15,240
or to our intelligence.

460
00:20:19,720 --> 00:20:22,360
Yeah, it definitely has an effect on
our brains, surely.

461
00:20:22,360 --> 00:20:23,880
It can kill your attention span.

462
00:20:23,880 --> 00:20:27,080
Computer games could
improve your memory.

463
00:20:27,080 --> 00:20:31,040
They are just like time pass and a
way to escape from the real world.

464
00:20:31,040 --> 00:20:35,440
I think they could help it in a
good way, I would think.

465
00:20:35,440 --> 00:20:37,120
Well, I disagree!

466
00:20:39,240 --> 00:20:41,080
First up, gaming -

467
00:20:41,080 --> 00:20:43,880
a pursuit my kids have dedicated
endless hours

468
00:20:43,880 --> 00:20:45,440
of their precious time to.

469
00:20:45,440 --> 00:20:47,320
Could gaming be affecting us?

470
00:20:47,320 --> 00:20:49,720
How about our
ability to concentrate,

471
00:20:49,720 --> 00:20:51,440
to hold things in our mind,

472
00:20:51,440 --> 00:20:53,000
our working memory?

473
00:20:53,000 --> 00:20:55,200
Because that is a critical skill

474
00:20:55,200 --> 00:20:58,720
which underpins almost
all areas of intelligence.

475
00:21:03,520 --> 00:21:05,840
In the game we're about to play,
we're going to be looking

476
00:21:05,840 --> 00:21:09,480
specifically at one
aspect of working memory.

477
00:21:09,480 --> 00:21:12,200
To explain more, we're joined
by Dr Louise Nicholls

478
00:21:12,200 --> 00:21:15,040
and we'll be coming back
to you in a moment, Louise.

479
00:21:15,040 --> 00:21:17,960
We are going to test how your
spatial working memory

480
00:21:17,960 --> 00:21:20,080
is affected by gaming.

481
00:21:20,080 --> 00:21:23,560
So, to help us, we have got
a team of avid gamers here.

482
00:21:23,560 --> 00:21:26,200
Greg, how much do you
play computer games?

483
00:21:26,200 --> 00:21:29,000
A couple hours a night, generally.
It's fun. Nice to relax with.

484
00:21:29,000 --> 00:21:30,680
Now, David, you work as a builder

485
00:21:30,680 --> 00:21:32,760
and then, in your
spare time, to relax,

486
00:21:32,760 --> 00:21:34,120
play building games.

487
00:21:34,120 --> 00:21:35,520
That is true, yeah.

488
00:21:35,520 --> 00:21:37,520
There's not an angry client
on the end of the phone.

489
00:21:37,520 --> 00:21:39,360
Makes a difference! Yeah.

490
00:21:39,360 --> 00:21:44,040
And, Alex, I heard that you
describe yourself as a gaming nerd,

491
00:21:44,040 --> 00:21:45,280
which I quite like.

492
00:21:45,280 --> 00:21:47,200
Yeah, a little bit.

493
00:21:47,200 --> 00:21:50,280
I mean, anything that ranges from
PC gaming to table top gaming -

494
00:21:50,280 --> 00:21:52,400
the whole spectrum. OK. OK.

495
00:21:52,400 --> 00:21:55,000
Let's go over here to
our...to our avid readers.

496
00:21:55,000 --> 00:21:56,440
Helen, I'll start with you.

497
00:21:56,440 --> 00:21:58,160
How much do you tend to read?

498
00:21:58,160 --> 00:22:01,320
Two novels a week. Two novels
a week?! I'm a fast reader.

499
00:22:01,320 --> 00:22:03,320
And how about you, Fatima?
I'm a bookworm.

500
00:22:03,320 --> 00:22:05,360
I've read a lot in my time.

501
00:22:05,360 --> 00:22:06,960
How about you, Martin?

502
00:22:06,960 --> 00:22:08,400
I read a couple of books a month.

503
00:22:08,400 --> 00:22:09,800
Yeah. I just read when I go to bed.

504
00:22:09,800 --> 00:22:12,320
And how's your memory?
I think it's OK, yeah.

505
00:22:12,320 --> 00:22:14,400
OK. Well, we're going to
put it to the test.

506
00:22:14,400 --> 00:22:16,960
So, in this game, you can see
there's a series of squares

507
00:22:16,960 --> 00:22:18,400
on the floor in front of you.

508
00:22:18,400 --> 00:22:21,600
What's going to happen is
these are going to light up

509
00:22:21,600 --> 00:22:23,720
in sequence, like this.

510
00:22:26,680 --> 00:22:32,240
And your job is simply to just
stand on these blocks

511
00:22:32,240 --> 00:22:34,320
to match that same sequence.

512
00:22:34,320 --> 00:22:36,680
Now, what we're going to do,
we're going to alternate

513
00:22:36,680 --> 00:22:38,200
between gamers and readers.

514
00:22:38,200 --> 00:22:40,920
And every time one of
you completes a sequence correctly,

515
00:22:40,920 --> 00:22:44,360
the next sequence for your team-mate
is going to be a little bit longer.

516
00:22:44,360 --> 00:22:46,000
So, gamers, off you go.

517
00:22:55,760 --> 00:22:57,360
OK. Good start.

518
00:23:05,200 --> 00:23:06,520
There we go.

519
00:23:06,520 --> 00:23:07,520
Very nice.

520
00:23:10,520 --> 00:23:14,160
OK, Martin, you
are also facing four.

521
00:23:24,960 --> 00:23:28,200
Martin hasn't got any
time to hang around.

522
00:23:28,200 --> 00:23:30,280
"I know the answer. Why muck about?"

523
00:23:31,480 --> 00:23:33,320
Well done, Martin. Very nice,
indeed.

524
00:23:33,320 --> 00:23:35,960
OK. Greg.

525
00:23:35,960 --> 00:23:37,840
Five for you.

526
00:23:48,360 --> 00:23:50,360
Right.

527
00:23:55,680 --> 00:23:57,280
He's smiling.

528
00:23:58,600 --> 00:24:00,760
I was. I'm not sure
of the fifth one now.

529
00:24:02,200 --> 00:24:05,200
Oh, no.

530
00:24:05,200 --> 00:24:06,640
No.

531
00:24:06,640 --> 00:24:08,080
So close, so close.

532
00:24:08,080 --> 00:24:11,280
These five, they're hard,
aren't they? Five are hard.

533
00:24:11,280 --> 00:24:13,520
OK, Helen, I'm afraid
you're facing a five now.

534
00:24:15,520 --> 00:24:18,200
That is tricky.
Louise, while they play,

535
00:24:18,200 --> 00:24:20,440
what exactly is "working memory"?

536
00:24:20,440 --> 00:24:24,120
It's essentially short-term
memory and it's allowing us

537
00:24:24,120 --> 00:24:27,440
to process and
temporarily store information,

538
00:24:27,440 --> 00:24:29,080
just moment to moment.

539
00:24:29,080 --> 00:24:31,080
If anyone's ever walked
into a room

540
00:24:31,080 --> 00:24:33,480
and forgotten what they've went
in for, which is everyone,

541
00:24:33,480 --> 00:24:35,160
then we know what working memory is.

542
00:24:35,160 --> 00:24:37,240
It's very vulnerable
to distraction, actually,

543
00:24:37,240 --> 00:24:40,360
because one of the central
components of working memory

544
00:24:40,360 --> 00:24:42,080
is our attention.

545
00:24:42,080 --> 00:24:45,040
So, kind of focusing on the most
relevant information for

546
00:24:45,040 --> 00:24:48,080
the task at hand and then also
being able to inhibit things

547
00:24:48,080 --> 00:24:50,520
that can possibly distract us.

548
00:24:50,520 --> 00:24:51,680
All right, Alex.

549
00:24:51,680 --> 00:24:53,160
No-one's managed a five.

550
00:24:53,160 --> 00:24:55,960
See how you do.

551
00:24:55,960 --> 00:24:57,400
Is she going to manage it?

552
00:24:59,440 --> 00:25:02,160
Now, number five.

553
00:25:02,160 --> 00:25:03,960
Ahh!

554
00:25:03,960 --> 00:25:06,920
Unlucky. They're tough,
they're tough.

555
00:25:06,920 --> 00:25:09,640
Which parts of the brain
are involved in this task?

556
00:25:09,640 --> 00:25:11,840
So, rather than being
just one specific area,

557
00:25:11,840 --> 00:25:14,680
I think it's best to think about
a kind of distributed network

558
00:25:14,680 --> 00:25:16,560
in our spatial working memory.

559
00:25:16,560 --> 00:25:19,080
So, towards the
front of the brain,

560
00:25:19,080 --> 00:25:21,600
that's really
the attentional component -

561
00:25:21,600 --> 00:25:25,840
so focusing on items, actively
rehearsing information -

562
00:25:25,840 --> 00:25:28,320
whereas, towards the
back of the brain,

563
00:25:28,320 --> 00:25:30,760
that area is really busy
representing those locations

564
00:25:30,760 --> 00:25:33,160
temporarily until we
don't need it any more.

565
00:25:33,160 --> 00:25:35,360
How many would you imagine
they'd be able to do?

566
00:25:35,360 --> 00:25:36,680
About, typically, four objects

567
00:25:36,680 --> 00:25:38,600
and then they would start
to struggle with it.

568
00:25:38,600 --> 00:25:40,080
OK, Martin. Come on.

569
00:25:40,080 --> 00:25:42,240
You were very confident
last time with your four. Yeah.

570
00:26:07,880 --> 00:26:10,960
Martin, well done.

571
00:26:12,560 --> 00:26:14,360
That's for the oldies as well.

572
00:26:14,360 --> 00:26:17,440
There you go. Readers, you got
a sequence of five correct!

573
00:26:17,440 --> 00:26:19,080
Mostly saved by Martin there,

574
00:26:19,080 --> 00:26:21,120
right at the end.
Feeling smug, Martin?

575
00:26:21,120 --> 00:26:22,320
Very, yeah. Yeah. OK.

576
00:26:22,320 --> 00:26:25,360
And, gamers, you only
got to four there, which is...

577
00:26:25,360 --> 00:26:26,760
Yeah. Well done, readers.

578
00:26:26,760 --> 00:26:29,440
Tightly fought game but, as a
reader, I'm obviously delighted

579
00:26:29,440 --> 00:26:31,040
the readers came out on top.

580
00:26:31,040 --> 00:26:32,720
And I can say to my kids,

581
00:26:32,720 --> 00:26:35,320
"Yep, the time you spent
on those games was wasted."

582
00:26:35,320 --> 00:26:36,920
Well, let's see, shall we, Michael?

583
00:26:36,920 --> 00:26:38,640
Let's see.

584
00:26:38,640 --> 00:26:42,000
Because we also have some results
from the national picture here.

585
00:26:42,000 --> 00:26:45,320
And it turns out that, when it comes
to this kind of game,

586
00:26:45,320 --> 00:26:48,520
Cambridgeshire had the very
best in spatial working memory,

587
00:26:48,520 --> 00:26:51,160
while those from Derbyshire,
Gloucestershire,

588
00:26:51,160 --> 00:26:54,600
Worcestershire and North Yorkshire -
they were a close second.

589
00:26:54,600 --> 00:26:57,120
Oxfordshire, nowhere to be seen.

590
00:26:57,120 --> 00:27:00,160
But we also asked people
how often they gamed

591
00:27:00,160 --> 00:27:02,440
and we look to how this
compared to their score

592
00:27:02,440 --> 00:27:04,400
on spatial working memory.

593
00:27:04,400 --> 00:27:06,720
And what we found was intriguing

594
00:27:06,720 --> 00:27:11,320
because, on average, those who
said that they never gamed at all,

595
00:27:11,320 --> 00:27:14,960
they actually scored
much lower on this test.

596
00:27:14,960 --> 00:27:18,560
And, unlike what happened
in the studio here,

597
00:27:18,560 --> 00:27:23,040
the more people played computer
games, the more likely they were

598
00:27:23,040 --> 00:27:25,480
to be above the national average.

599
00:27:25,480 --> 00:27:28,320
But those who tended
to play every day

600
00:27:28,320 --> 00:27:30,800
tended to get the highest scores
in this particular game.

601
00:27:30,800 --> 00:27:33,840
Now, I should tell you that the
effective age has been removed here.

602
00:27:33,840 --> 00:27:36,720
So, this isn't just that
older people play less

603
00:27:36,720 --> 00:27:38,520
so score less.

604
00:27:38,520 --> 00:27:41,400
This is a very clear link to gaming.

605
00:27:41,400 --> 00:27:43,920
Gamers, are you surprised
by that result?

606
00:27:43,920 --> 00:27:45,400
I'm gutted that we lost,

607
00:27:45,400 --> 00:27:47,680
but I'm not surprised
that it helps working memory.

608
00:27:47,680 --> 00:27:50,520
There you go, Michael.
Great news for Tetris fans, huh?

609
00:27:50,520 --> 00:27:53,960
Yeah, but, sadly, I have not
played Tetris for over 20 years.

610
00:27:53,960 --> 00:27:56,840
Now, if you want to find that how
good your working memory is

611
00:27:56,840 --> 00:27:58,400
and how you compare to others,

612
00:27:58,400 --> 00:28:01,640
go online, to The Great British
Intelligence Test website

613
00:28:01,640 --> 00:28:03,520
at the address on the screen now,

614
00:28:03,520 --> 00:28:05,320
and have a go yourself.

615
00:28:05,320 --> 00:28:08,200
So, Louise, sadly for me, actually,

616
00:28:08,200 --> 00:28:11,400
we found that doing gaming seems
to be good for at least

617
00:28:11,400 --> 00:28:13,120
this aspect of our memory.

618
00:28:13,120 --> 00:28:15,480
Is this consistent
with other studies?

619
00:28:15,480 --> 00:28:18,320
The positive relationship
between the amount of gaming

620
00:28:18,320 --> 00:28:21,840
and spatial working memory
performance is actually consistent.

621
00:28:21,840 --> 00:28:24,840
There's actually also been
controlled experiments conducted

622
00:28:24,840 --> 00:28:27,440
to look at, really, is gaming
the cause?

623
00:28:27,440 --> 00:28:30,240
And there's evidence there to
suggest that gaming

624
00:28:30,240 --> 00:28:32,360
can improve our working memory.

625
00:28:32,360 --> 00:28:34,360
Does it matter what
sort of game you play?

626
00:28:34,360 --> 00:28:36,800
The most reliable findings have come

627
00:28:36,800 --> 00:28:38,720
from high-action video games.

628
00:28:38,720 --> 00:28:41,280
They involve a lot of quick
decision making,

629
00:28:41,280 --> 00:28:45,480
navigating around environments,
finding visual targets.

630
00:28:45,480 --> 00:28:47,560
OK, so we've got one here.

631
00:28:47,560 --> 00:28:50,400
And what is good for
your brain about this?

632
00:28:50,400 --> 00:28:52,280
So, we've got the 3D visual world

633
00:28:52,280 --> 00:28:54,440
that the player's
interacting within.

634
00:28:54,440 --> 00:28:56,200
But we also have the 2D map,

635
00:28:56,200 --> 00:28:58,880
which is giving further information

636
00:28:58,880 --> 00:29:01,160
that the player would
want to take in.

637
00:29:01,160 --> 00:29:03,000
Moving around quickly,

638
00:29:03,000 --> 00:29:05,480
finding the visual targets

639
00:29:05,480 --> 00:29:08,280
and then maybe switching
between weapons and so on.

640
00:29:08,280 --> 00:29:11,320
So, actually, the idea is that
they're honing spatial skills

641
00:29:11,320 --> 00:29:14,680
because they're really using them
so much and in a very speeded way.

642
00:29:14,680 --> 00:29:17,640
The good news, though,
is that it's not exclusively

643
00:29:17,640 --> 00:29:19,960
the high-action games have shown
these kinds of effects,

644
00:29:19,960 --> 00:29:22,880
so, actually, even spatial puzzle
games, like Tetris,

645
00:29:22,880 --> 00:29:25,920
have also been shown to
affect the kind of skills

646
00:29:25,920 --> 00:29:28,800
that are being used
heavily within the game.

647
00:29:28,800 --> 00:29:32,120
So, does it also increase
skills in other areas?

648
00:29:33,360 --> 00:29:36,760
I think we have to bear in mind
that it is quite specific,

649
00:29:36,760 --> 00:29:38,600
so it is within spatial working
memory

650
00:29:38,600 --> 00:29:40,280
that we're seeing the benefits.

651
00:29:40,280 --> 00:29:43,760
Another point to make is that we
need more research around the topic.

652
00:29:43,760 --> 00:29:46,280
You know, what are the optimal
number of hours

653
00:29:46,280 --> 00:29:48,160
that one would spend gaming?

654
00:29:48,160 --> 00:29:50,920
Cos, you know, maybe if
it encroaches on sleep

655
00:29:50,920 --> 00:29:53,480
or physical activity,
it could go the other way.

656
00:29:53,480 --> 00:29:55,400
OK. Thank you very much, Louise.

657
00:29:55,400 --> 00:29:58,840
So, gaming isn't as
bad as I had feared,

658
00:29:58,840 --> 00:30:01,280
but what about other
forms of tech use

659
00:30:01,280 --> 00:30:03,360
that are dominating our lives?

660
00:30:03,360 --> 00:30:06,200
In particular, our growing
addiction to smartphones

661
00:30:06,200 --> 00:30:09,720
and our reliance on the
Internet and social media.

662
00:30:09,720 --> 00:30:11,640
Hannah, what did our study find?

663
00:30:11,640 --> 00:30:13,880
We asked you what devices you used,

664
00:30:13,880 --> 00:30:15,520
how much you use them,

665
00:30:15,520 --> 00:30:17,400
how often you were searching the
Internet,

666
00:30:17,400 --> 00:30:19,200
going on social media,
online shopping,

667
00:30:19,200 --> 00:30:21,200
streaming, you name it,

668
00:30:21,200 --> 00:30:23,640
and we looked to see whether
there was any relationship

669
00:30:23,640 --> 00:30:26,680
between your answers
and your results.

670
00:30:26,680 --> 00:30:28,440
And we didn't see any clear link

671
00:30:28,440 --> 00:30:30,520
between aspects of your digital life

672
00:30:30,520 --> 00:30:32,280
and your cognition.

673
00:30:32,280 --> 00:30:34,800
But here is something intriguing,

674
00:30:34,800 --> 00:30:37,040
because we had a
look at those of you

675
00:30:37,040 --> 00:30:40,480
who use the Internet excessively,
even compulsively,

676
00:30:40,480 --> 00:30:43,160
by which we mean continually
checking your e-mails,

677
00:30:43,160 --> 00:30:45,200
looking at the phone
after you've gone to bed -

678
00:30:45,200 --> 00:30:47,840
and we can see how that
changes with age,

679
00:30:47,840 --> 00:30:49,960
and have a little look at this.

680
00:30:49,960 --> 00:30:54,080
"Internet addiction," if you
will, is much more common

681
00:30:54,080 --> 00:30:55,520
in young people

682
00:30:55,520 --> 00:30:57,960
and much rarer in older people.

683
00:30:57,960 --> 00:31:00,040
OK. Perhaps no surprises there!

684
00:31:00,040 --> 00:31:04,680
But we also asked everyone how
anxious and stressed they felt,

685
00:31:04,680 --> 00:31:06,600
and here are the results.

686
00:31:06,600 --> 00:31:10,000
Can you see how closely
these two track one another?

687
00:31:10,000 --> 00:31:12,720
Now, this is suggesting
there's a very strong connection

688
00:31:12,720 --> 00:31:15,680
between high Internet and
social media use

689
00:31:15,680 --> 00:31:19,600
and higher levels of anxiety,
and this, in particular,

690
00:31:19,600 --> 00:31:21,960
is a really important finding.

691
00:31:21,960 --> 00:31:24,760
It's never been found
at this scale before.

692
00:31:24,760 --> 00:31:27,080
That is really impressive.

693
00:31:27,080 --> 00:31:29,440
How does it fit in with other data?

694
00:31:29,440 --> 00:31:30,880
I have Dr Lee Smith with me,

695
00:31:30,880 --> 00:31:34,120
who has been reviewing
all the published evidence.

696
00:31:34,120 --> 00:31:36,440
Well, there's quite a
large body of literature now

697
00:31:36,440 --> 00:31:38,800
to suggest that
excessive Internet use

698
00:31:38,800 --> 00:31:40,960
is associated with
poor mental health

699
00:31:40,960 --> 00:31:43,160
and mental health complications -

700
00:31:43,160 --> 00:31:46,120
particularly in
adolescents and young people.

701
00:31:46,120 --> 00:31:47,960
And to give you one example,

702
00:31:47,960 --> 00:31:50,800
a study was carried out
on a sample of adolescents

703
00:31:50,800 --> 00:31:54,840
and it showed us that those who use
social media for five hours a day...

704
00:31:54,840 --> 00:31:56,480
Five? Five hours.

705
00:31:56,480 --> 00:32:00,960
..were 66% more likely to
exhibit suicidal behaviour

706
00:32:00,960 --> 00:32:03,320
compared to those who used one hour.

707
00:32:03,320 --> 00:32:05,800
And, actually, I think
your findings go some way

708
00:32:05,800 --> 00:32:07,640
to begin to explain
this association.

709
00:32:07,640 --> 00:32:09,720
So, why should social
media, in particular,

710
00:32:09,720 --> 00:32:11,920
have this sort of really toxic
effect?

711
00:32:11,920 --> 00:32:14,920
One point way may be that social
media platforms, at least,

712
00:32:14,920 --> 00:32:17,800
always present us
with one's best self

713
00:32:17,800 --> 00:32:20,880
and we're always comparing
that to our real selves.

714
00:32:20,880 --> 00:32:23,480
So, we may be always making these
upward comparisons,

715
00:32:23,480 --> 00:32:26,960
potentially to something which
is unachievable and unrealistic.

716
00:32:26,960 --> 00:32:29,880
In addition to that,
social media allows us

717
00:32:29,880 --> 00:32:31,640
to quantify our social success

718
00:32:31,640 --> 00:32:35,440
in the terms of number of friends we
have, number of followers we have,

719
00:32:35,440 --> 00:32:37,920
the number of likes and
shares that we receive.

720
00:32:37,920 --> 00:32:39,760
And, taken together,
these two things

721
00:32:39,760 --> 00:32:42,720
are probably driving levels of
anxiety and levels of stress.

722
00:32:42,720 --> 00:32:44,160
Thank you very much, Lee.

723
00:32:44,160 --> 00:32:46,840
So, spending less time online,
especially social media,

724
00:32:46,840 --> 00:32:49,720
is likely to be a
good thing for your brain.

725
00:32:49,720 --> 00:32:52,960
Now, we've been looking at what else
you can do to boost your brainpower

726
00:32:52,960 --> 00:32:56,000
and there is some intriguing
evidence that being active,

727
00:32:56,000 --> 00:32:59,040
using your muscles a little bit
more, could help.

728
00:32:59,040 --> 00:33:02,720
Hannah, come over here, as I need to
do a little test with you. OK.

729
00:33:02,720 --> 00:33:07,000
Right, what I'd like you to do
is take one of these... Yeah.

730
00:33:07,000 --> 00:33:09,440
..and I will take one of these.

731
00:33:09,440 --> 00:33:12,240
So, what are these? They're
basically going to measure

732
00:33:12,240 --> 00:33:13,400
your grip strength. OK.

733
00:33:13,400 --> 00:33:16,120
So, what we're going to do...
I know how competitive you are.

734
00:33:16,120 --> 00:33:18,480
Is this just a really convoluted way
for you to beat me?

735
00:33:18,480 --> 00:33:20,080
Not at all! OK. Squeeze!

736
00:33:20,080 --> 00:33:22,200
HE STRAINS

737
00:33:22,200 --> 00:33:24,320
Oh. Hang on.

738
00:33:24,320 --> 00:33:26,000
I can do better! OK.

739
00:33:26,000 --> 00:33:27,880
SHE GROANS
Right.

740
00:33:27,880 --> 00:33:29,920
What have you got? You got 31.5.

741
00:33:29,920 --> 00:33:31,960
What have I got? 54.2, Michael!

742
00:33:31,960 --> 00:33:35,000
54.2. Exactly. All right.
No need to be smug about it.

743
00:33:35,000 --> 00:33:39,440
Right. So, the average
for a woman your age is 31.

744
00:33:39,440 --> 00:33:41,240
So, you are just above average.

745
00:33:41,240 --> 00:33:44,120
And the average for
a man of my age is 44

746
00:33:44,120 --> 00:33:45,560
and I'm 54.

747
00:33:45,560 --> 00:33:47,320
Well, well done, Michael.

748
00:33:47,320 --> 00:33:48,640
I'm well above average,

749
00:33:48,640 --> 00:33:50,960
there you go, at least as far as my
grip strength.

750
00:33:50,960 --> 00:33:52,240
On that thing. On this thing.

751
00:33:52,240 --> 00:33:54,520
What on Earth has hand strength
got to do with this though?

752
00:33:54,520 --> 00:33:56,480
Well, hand strength is,
surprisingly enough,

753
00:33:56,480 --> 00:33:59,040
quite a good indicator
of your overall body strength

754
00:33:59,040 --> 00:34:00,600
and your general level of fitness.

755
00:34:00,600 --> 00:34:03,440
And there's certainly good evidence
that being stronger or fitter

756
00:34:03,440 --> 00:34:05,200
may be good for your brain.

757
00:34:05,200 --> 00:34:09,320
So, to find out more, I went to see
the latest research in action.

758
00:34:12,440 --> 00:34:16,640
The connection between exercise
and the brain has been the subject

759
00:34:16,640 --> 00:34:20,120
of intense study by experts
at the University of South Wales.

760
00:34:21,720 --> 00:34:23,120
Nice to meet you, Michael.

761
00:34:23,120 --> 00:34:24,760
Professor Damian Bailey

762
00:34:24,760 --> 00:34:28,320
has been subjecting volunteers to
tricky cognition tests

763
00:34:28,320 --> 00:34:31,040
to see what happens to
their scores

764
00:34:31,040 --> 00:34:33,520
before, during and after exercise.

765
00:34:33,520 --> 00:34:36,000
So, our participant is
pedalling on the bike

766
00:34:36,000 --> 00:34:38,920
and we're doing a Stroop
interference test.

767
00:34:38,920 --> 00:34:41,600
A Stroop test assesses
how quickly our brains

768
00:34:41,600 --> 00:34:45,080
can process a
mismatch in information.

769
00:34:45,080 --> 00:34:47,840
Volunteers have to read the
written word

770
00:34:47,840 --> 00:34:50,960
and not be distracted
by the conflicting colour.

771
00:34:50,960 --> 00:34:52,760
And what have you found?

772
00:34:52,760 --> 00:34:55,600
We've actually shown
that cognitive function,

773
00:34:55,600 --> 00:34:59,520
mental agility, improves
whilst he's exercising.

774
00:34:59,520 --> 00:35:02,560
OK. So he's actually doing better
on this task while he's doing this

775
00:35:02,560 --> 00:35:04,560
than he would be if he was just
sitting on his bottom.

776
00:35:04,560 --> 00:35:05,800
That's right, exactly.

777
00:35:05,800 --> 00:35:09,680
The question is - how does
exercise boost the brain?

778
00:35:09,680 --> 00:35:13,800
They believe it's partly due
to increasing the blood flow.

779
00:35:13,800 --> 00:35:16,080
We're measuring blood
flow to the brain

780
00:35:16,080 --> 00:35:18,400
and blood flow
through arteries inside the brain.

781
00:35:18,400 --> 00:35:21,840
And we know that, by getting
more blood, oxygen and glucose,

782
00:35:21,840 --> 00:35:23,440
more fuel into the brain,

783
00:35:23,440 --> 00:35:27,360
this can support different
areas of cognitive function.

784
00:35:28,520 --> 00:35:29,960
And there's a clever way

785
00:35:29,960 --> 00:35:33,360
that the body makes sure
as much blood as possible

786
00:35:33,360 --> 00:35:36,280
gets to your brain
when you're exercising.

787
00:35:36,280 --> 00:35:41,520
Exercise boosts levels of a chemical
in the blood called nitric oxide.

788
00:35:41,520 --> 00:35:45,400
Nitric oxide makes the blood vessels
relax, that's right?

789
00:35:45,400 --> 00:35:46,840
Exactly that.

790
00:35:46,840 --> 00:35:49,480
It allows the blood vessels
to relax,

791
00:35:49,480 --> 00:35:52,520
to get that all-important fuel into
the brain,

792
00:35:52,520 --> 00:35:55,760
to then support that
change in cognition.

793
00:35:55,760 --> 00:35:59,440
Importantly, Damian thinks
exercise also helps brain function

794
00:35:59,440 --> 00:36:02,360
by increasing levels
of another chemical.

795
00:36:02,360 --> 00:36:08,320
It's called brain-derived
neurotrophic factor, or BDNF.

796
00:36:08,320 --> 00:36:11,040
The idea is exercise boosts levels
of this chemical,

797
00:36:11,040 --> 00:36:14,680
which is a sort of
fertiliser for brain cells.

798
00:36:14,680 --> 00:36:18,120
These are the growth factors
that help support...

799
00:36:18,120 --> 00:36:20,960
..growth of new brain cells
and new connections in the brain.

800
00:36:20,960 --> 00:36:23,560
If it's making more cells,
more connections,

801
00:36:23,560 --> 00:36:26,440
decision making,
memory, reasoning...

802
00:36:26,440 --> 00:36:29,600
All of it gets better?
All of it gets better.

803
00:36:29,600 --> 00:36:33,040
So, if exercise can improve our
brain like this,

804
00:36:33,040 --> 00:36:35,600
does the intensity
make a difference?

805
00:36:35,600 --> 00:36:40,200
Damian is comparing high-intensity
exercise with moderate.

806
00:36:40,200 --> 00:36:44,520
First, the bike is set to a
moderate level of exercise.

807
00:36:44,520 --> 00:36:47,640
Will this be enough to
boost brain function?

808
00:36:51,160 --> 00:36:54,040
After ten minutes' cycling
and then a short break,

809
00:36:54,040 --> 00:36:57,080
the bike is switched
to a harder setting.

810
00:36:57,080 --> 00:37:00,880
It's now time for a bout
of high-intensity exercise.

811
00:37:04,880 --> 00:37:09,080
After the blood has been analysed,
Damian has the results.

812
00:37:10,080 --> 00:37:11,360
What happened?

813
00:37:11,360 --> 00:37:12,760
This is at baseline.

814
00:37:12,760 --> 00:37:16,440
Here, you can see, at the end
of the moderate exercise challenge,

815
00:37:16,440 --> 00:37:18,040
which is a vigorous walk,

816
00:37:18,040 --> 00:37:20,440
we've got a doubling of
the amount of nitric oxide.

817
00:37:20,440 --> 00:37:23,320
And then, at the end of the
high-intensity challenge,

818
00:37:23,320 --> 00:37:25,960
again, there's a further increase.

819
00:37:25,960 --> 00:37:29,680
And what about the other
key chemical, BDNF?

820
00:37:29,680 --> 00:37:33,040
This is a slide of a previous
study, from our group,

821
00:37:33,040 --> 00:37:35,320
that has demonstrated Serum BDNF -

822
00:37:35,320 --> 00:37:38,960
brain-derived neurotrophic
factor - concentrations,

823
00:37:38,960 --> 00:37:43,200
and you see a very similar profile
to the increases in nitric oxide

824
00:37:43,200 --> 00:37:46,480
and to the increases in blood flow
to the brain.

825
00:37:46,480 --> 00:37:49,920
So, exercise triggers a complex
chemical process

826
00:37:49,920 --> 00:37:51,720
that benefits the brain.

827
00:37:51,720 --> 00:37:54,200
The harder you work out,
the better,

828
00:37:54,200 --> 00:37:58,120
but a brisk walk will
still help you to stay sharp.

829
00:38:00,160 --> 00:38:03,520
How interesting! Can other types
of exercise help as well?

830
00:38:03,520 --> 00:38:05,960
Absolutely. Particularly things like
strength training,

831
00:38:05,960 --> 00:38:07,360
yoga, things like that.

832
00:38:07,360 --> 00:38:09,840
Are you saying I've got to go
and renew my gym membership?

833
00:38:09,840 --> 00:38:11,640
I am, yes. Oh, OK. All right.

834
00:38:11,640 --> 00:38:13,680
Well, now for something
completely different.

835
00:38:13,680 --> 00:38:15,920
One of the areas of
results in our test

836
00:38:15,920 --> 00:38:18,600
that I was most interested
in was whether we would see

837
00:38:18,600 --> 00:38:22,720
any differences in how
men and women performed.

838
00:38:22,720 --> 00:38:25,240
Now, that is certainly a very
sensitive area of research,

839
00:38:25,240 --> 00:38:27,320
as you know.
You could say that, yeah.

840
00:38:27,320 --> 00:38:29,920
This is an area that's
fraught with contention.

841
00:38:29,920 --> 00:38:32,360
Is there a male
and a female brain?

842
00:38:36,880 --> 00:38:38,560
I think it's probably very
negligible,

843
00:38:38,560 --> 00:38:40,520
the difference
between men and women.

844
00:38:40,520 --> 00:38:42,760
Women can do lots of jobs at once -
men can't.

845
00:38:42,760 --> 00:38:45,120
I think they kind of handle
stressful situations

846
00:38:45,120 --> 00:38:46,880
a lot better than men.

847
00:38:46,880 --> 00:38:50,880
Well, I'm definitely better
at parking cars, yes.

848
00:38:50,880 --> 00:38:53,880
With emotional intelligence, I feel
that women are more empathetic.

849
00:38:53,880 --> 00:38:55,600
I can be terrible at parking

850
00:38:55,600 --> 00:38:57,640
and I'm pretty emotional as well.

851
00:39:02,320 --> 00:39:05,480
Emotional intelligence is the
ability to recognise and respond

852
00:39:05,480 --> 00:39:08,160
to our own and other
people's emotions.

853
00:39:08,160 --> 00:39:10,960
So, are women really better
at reading them?

854
00:39:10,960 --> 00:39:12,160
Time for a test.

855
00:39:12,160 --> 00:39:14,080
Hannah. Well, let's find out.

856
00:39:14,080 --> 00:39:15,640
Going head-to-head,

857
00:39:15,640 --> 00:39:18,880
we have a team of women
versus a team of men.

858
00:39:18,880 --> 00:39:20,360
Guess who I want to win!

859
00:39:20,360 --> 00:39:22,720
Over here, we have our women's team.

860
00:39:22,720 --> 00:39:24,160
Diane, what do you think?

861
00:39:24,160 --> 00:39:26,360
Do you think that men are less good

862
00:39:26,360 --> 00:39:28,240
at things like
emotional intelligence?

863
00:39:28,240 --> 00:39:30,400
I think women are much more
emotional

864
00:39:30,400 --> 00:39:32,720
and much more in touch
with themselves, so yes.

865
00:39:32,720 --> 00:39:34,960
Well, we'll see how you do
because you are competing,

866
00:39:34,960 --> 00:39:37,240
of course, against the
team of men over here.

867
00:39:37,240 --> 00:39:40,720
OK. Army, I hear that you are
a construction worker.

868
00:39:40,720 --> 00:39:43,480
I am, yeah. How good are
you at building relationships?

869
00:39:43,480 --> 00:39:45,160
Very good at building relationships,

870
00:39:45,160 --> 00:39:47,120
just as well as I am in
the construction game.

871
00:39:47,120 --> 00:39:49,080
Matt, now I understand
that you are in politics.

872
00:39:49,080 --> 00:39:51,000
Is emotional intelligence
important to have?

873
00:39:51,000 --> 00:39:53,680
Yeah, absolutely. You need to
connect with people on the street

874
00:39:53,680 --> 00:39:56,200
and talk to people all the time,
so I think it's important that

875
00:39:56,200 --> 00:39:58,200
you have to have that
relatability with people.

876
00:39:58,200 --> 00:40:00,520
So, you rate yourself on this task?
We'll see how we get on.

877
00:40:00,520 --> 00:40:02,600
Indeed we will. OK.

878
00:40:02,600 --> 00:40:05,000
Now, it is worth noting
that, in the national test,

879
00:40:05,000 --> 00:40:09,040
we also had participants who don't
identify as either male or female,

880
00:40:09,040 --> 00:40:11,280
and we're going to see all of
those results very shortly.

881
00:40:11,280 --> 00:40:12,720
But first, teams,

882
00:40:12,720 --> 00:40:14,800
here is how this game works.

883
00:40:14,800 --> 00:40:18,240
So, you're going to see, on your
screens, two faces - like this -

884
00:40:18,240 --> 00:40:21,880
and all you have to do is to decide
whether they are expressing

885
00:40:21,880 --> 00:40:24,920
the same emotion or
a different emotion.

886
00:40:24,920 --> 00:40:28,120
And I should tell you that, in this
game, you're only going to get

887
00:40:28,120 --> 00:40:32,640
a point if you are right
when the other team is wrong, OK?

888
00:40:32,640 --> 00:40:35,040
Everyone happy?
All right. Let's go.

889
00:40:39,120 --> 00:40:41,360
Gosh. Super quick there
from the women's team.

890
00:40:41,360 --> 00:40:43,160
Right.

891
00:40:48,880 --> 00:40:52,600
Nothing to choose
between you so far.

892
00:40:54,960 --> 00:40:56,600
Right.

893
00:41:09,400 --> 00:41:10,800
Oh, you've split, you've split.

894
00:41:10,800 --> 00:41:12,240
And the answer is different.

895
00:41:12,240 --> 00:41:14,040
The men edge ahead.

896
00:41:19,120 --> 00:41:22,800
Guys, you're dispelling the myth so
far.

897
00:41:22,800 --> 00:41:24,640
Oh, they're split.

898
00:41:24,640 --> 00:41:25,880
Different.

899
00:41:25,880 --> 00:41:27,120
Oh! OK.

900
00:41:27,120 --> 00:41:28,680
It's 1-1. Right.

901
00:41:32,360 --> 00:41:34,800
Nothing to choose between you.

902
00:41:34,800 --> 00:41:37,440
Nothing to choose
between the two teams.

903
00:41:40,080 --> 00:41:42,000
Oh, they've split.

904
00:41:42,000 --> 00:41:43,920
And the answer is same.

905
00:41:43,920 --> 00:41:46,400
Oh, the men edge ahead.
The men edge ahead.

906
00:41:50,440 --> 00:41:52,200
Oh, they're split.

907
00:41:52,200 --> 00:41:54,040
The men again!

908
00:41:54,040 --> 00:41:55,680
Well done!

909
00:41:57,000 --> 00:41:58,360
Time's up.

910
00:41:58,360 --> 00:42:00,560
OK, everyone get back
into your starting positions.

911
00:42:00,560 --> 00:42:02,000
Let's have a look at these scores.

912
00:42:02,000 --> 00:42:04,040
So, overall, the scores are -

913
00:42:04,040 --> 00:42:05,840
three points to the men,

914
00:42:05,840 --> 00:42:07,080
one point to the women.

915
00:42:07,080 --> 00:42:08,440
Gents just edged ahead there,

916
00:42:08,440 --> 00:42:11,560
dispelling any myths about men
and emotional intelligence.

917
00:42:11,560 --> 00:42:13,400
How did you find it?

918
00:42:13,400 --> 00:42:16,600
Yeah. Pretty good, actually. Yeah.
Yeah, it was easy, to be honest.

919
00:42:16,600 --> 00:42:18,640
Easy? Yeah. Goodness me!

920
00:42:18,640 --> 00:42:22,520
OK, ladies, are you disappointed?
Slightly, yeah.

921
00:42:22,520 --> 00:42:24,520
The competitive spirit.

922
00:42:24,520 --> 00:42:25,840
The question is -

923
00:42:25,840 --> 00:42:29,320
how typical are these
groups of men and women

924
00:42:29,320 --> 00:42:31,040
that we have in the studio here?

925
00:42:31,040 --> 00:42:33,080
How does the rest of the nation fare

926
00:42:33,080 --> 00:42:35,120
when it comes to reading emotions?

927
00:42:35,120 --> 00:42:38,000
Well, you'll be surprised
to hear, southerners,

928
00:42:38,000 --> 00:42:41,280
that those with the highest
emotional intelligence

929
00:42:41,280 --> 00:42:44,080
in the country were actually
in London -

930
00:42:44,080 --> 00:42:45,760
at least in this test.

931
00:42:45,760 --> 00:42:48,080
Just here. Right there. My home.

932
00:42:48,080 --> 00:42:50,520
And there were some other
very interesting results

933
00:42:50,520 --> 00:42:53,560
because, if you have a brother
or sister, you are more likely

934
00:42:53,560 --> 00:42:54,760
to score very highly on this -

935
00:42:54,760 --> 00:42:56,040
which I think makes sense -

936
00:42:56,040 --> 00:42:58,560
but also if you owned a cat or dog.

937
00:42:58,560 --> 00:43:02,120
The question is - what about the
difference between men and women?

938
00:43:02,120 --> 00:43:06,160
So, when we looked at all 250,000
people across the country -

939
00:43:06,160 --> 00:43:09,240
men, women and those
who selected other -

940
00:43:09,240 --> 00:43:12,080
we found that it was also very close
indeed

941
00:43:12,080 --> 00:43:17,360
but that, on average,
women do outperform

942
00:43:17,360 --> 00:43:23,000
men and other on this particular
test of emotional intelligence.

943
00:43:23,000 --> 00:43:24,760
There's a small difference,

944
00:43:24,760 --> 00:43:26,440
but it is, nonetheless, there.

945
00:43:26,440 --> 00:43:28,920
But these weren't the only
sex differences that we found

946
00:43:28,920 --> 00:43:32,080
because, when we looked at spatial
intelligence,

947
00:43:32,080 --> 00:43:36,080
this is our ability to mentally
manipulate images in our minds,

948
00:43:36,080 --> 00:43:39,680
we actually found that the
advantage swung the other way.

949
00:43:39,680 --> 00:43:41,640
Again, these numbers are tiny,

950
00:43:41,640 --> 00:43:45,160
but men performed better
than average on this test,

951
00:43:45,160 --> 00:43:48,440
women and other below average.

952
00:43:48,440 --> 00:43:50,080
The question is -

953
00:43:50,080 --> 00:43:53,920
why are women and men are wired
differently?

954
00:43:53,920 --> 00:43:55,960
To try to answer that question,

955
00:43:55,960 --> 00:43:58,160
scientists at Edinburgh University
have been studying

956
00:43:58,160 --> 00:44:00,560
the brains of 5,000 people.

957
00:44:00,560 --> 00:44:03,960
Scans showed that, on average,
male brains are slightly bigger.

958
00:44:03,960 --> 00:44:06,480
But as we saw earlier,
with Bobby Seagull,

959
00:44:06,480 --> 00:44:08,880
bigger is not necessarily better.

960
00:44:08,880 --> 00:44:11,560
And there is also research looking
into the role

961
00:44:11,560 --> 00:44:15,240
that our sex hormones could be
playing in our brain development.

962
00:44:15,240 --> 00:44:17,560
But brains and biology
are only part of the story.

963
00:44:17,560 --> 00:44:20,200
They're interacting with other
important influences,

964
00:44:20,200 --> 00:44:22,920
such as our life experiences
and our environment.

965
00:44:22,920 --> 00:44:24,440
In fact, a very telling study,

966
00:44:24,440 --> 00:44:27,800
which evaluated the results
from 30,000 children,

967
00:44:27,800 --> 00:44:30,760
found no differences
between boys and girls

968
00:44:30,760 --> 00:44:33,120
on a test of spatial ability

969
00:44:33,120 --> 00:44:35,360
until they started school.

970
00:44:35,360 --> 00:44:37,720
So, could the small
differences we see

971
00:44:37,720 --> 00:44:40,240
between men and women
in these tests

972
00:44:40,240 --> 00:44:43,000
be something that
boys and girls learn?

973
00:44:43,000 --> 00:44:46,120
Hannah went back to
school to investigate.

974
00:44:46,120 --> 00:44:47,880
Hi, everyone!

975
00:44:47,880 --> 00:44:50,000
ALL: Hi!

976
00:44:50,000 --> 00:44:53,240
These children are seven
and eight years old.

977
00:44:53,240 --> 00:44:55,080
Studies suggest that, by this time,

978
00:44:55,080 --> 00:44:57,880
they've started
believing boys and girls

979
00:44:57,880 --> 00:45:00,080
are good at different things.

980
00:45:00,080 --> 00:45:04,160
I think boys are
really good at science

981
00:45:04,160 --> 00:45:06,040
because they're smarter than girls.

982
00:45:07,920 --> 00:45:11,520
I think girls I think are really
good at dance.

983
00:45:11,520 --> 00:45:13,960
What subjects are you good at?

984
00:45:13,960 --> 00:45:16,800
I just like maths.
You just like maths? Good answer!

985
00:45:16,800 --> 00:45:19,400
English, cos I'm good at writing.

986
00:45:19,400 --> 00:45:22,400
Yeah. I don't like science
because it's too hard.

987
00:45:26,960 --> 00:45:28,760
So, when does this belief

988
00:45:28,760 --> 00:45:30,800
that we have different abilities

989
00:45:30,800 --> 00:45:32,680
start to form?

990
00:45:32,680 --> 00:45:35,920
Some scientists think
it begins with play.

991
00:45:35,920 --> 00:45:38,720
Professor Gina Rippon is a
cognitive neuroscientist

992
00:45:38,720 --> 00:45:40,880
who's been studying how our brains

993
00:45:40,880 --> 00:45:43,720
are shaped by our early experiences.

994
00:45:43,720 --> 00:45:45,840
I've got some clips here for you.

995
00:45:50,920 --> 00:45:52,320
Hello!

996
00:45:52,320 --> 00:45:55,680
These children are just
three and four years old,

997
00:45:55,680 --> 00:45:58,280
which, research tells
us, is around the age

998
00:45:58,280 --> 00:46:01,520
they start to become
aware of gender.

999
00:46:01,520 --> 00:46:05,320
Generally, they gravitate
towards people like them.

1000
00:46:05,320 --> 00:46:07,000
If other boys playing with the train

1001
00:46:07,000 --> 00:46:09,200
then the boys will go
and play with the train

1002
00:46:09,200 --> 00:46:11,280
and the girls will go
into the kitchen.

1003
00:46:11,280 --> 00:46:14,520
If girls don't play with wonderful
construction toys

1004
00:46:14,520 --> 00:46:16,840
then they don't have the
kind of spatial experience,

1005
00:46:16,840 --> 00:46:20,280
which will give them more confidence
when they start to do

1006
00:46:20,280 --> 00:46:22,240
maths and science, for example.

1007
00:46:22,240 --> 00:46:24,640
That in adults is
one of the biggest areas

1008
00:46:24,640 --> 00:46:26,680
where there is a difference, right,

1009
00:46:26,680 --> 00:46:29,520
in the ability to manipulate
spatial information?

1010
00:46:29,520 --> 00:46:32,600
But if you look at what appears
to be a sex difference,

1011
00:46:32,600 --> 00:46:35,640
a big study done in the
States, in spatial skills,

1012
00:46:35,640 --> 00:46:37,480
if you then start to ask them,

1013
00:46:37,480 --> 00:46:40,280
"So, what type of toys did you play
with as a child?

1014
00:46:40,280 --> 00:46:42,120
"Do you play video games now?

1015
00:46:42,120 --> 00:46:43,720
"What kind of hobbies have you got?"

1016
00:46:43,720 --> 00:46:45,400
That trumps the sex difference.

1017
00:46:45,400 --> 00:46:48,920
And this doesn't just apply
to spatial intelligence.

1018
00:46:48,920 --> 00:46:53,400
If boys are deprived of the
opportunity for nurturing dolls

1019
00:46:53,400 --> 00:46:55,760
and playing in the kitchen

1020
00:46:55,760 --> 00:46:58,200
then that will give them
a different experience.

1021
00:46:58,200 --> 00:47:00,760
Do you think there are some things
that women are good at?

1022
00:47:00,760 --> 00:47:04,960
Cleaning up and with babies.

1023
00:47:04,960 --> 00:47:07,920
Yeah. Do you think that there
are things that men are good at?

1024
00:47:07,920 --> 00:47:10,280
I think they're good
at playing football.

1025
00:47:10,280 --> 00:47:13,000
Taking care of their
children and stuff.

1026
00:47:13,000 --> 00:47:16,720
Yeah, yeah. I agree. I agree, too.

1027
00:47:16,720 --> 00:47:20,000
Although gender stereotypes
are less common now,

1028
00:47:20,000 --> 00:47:22,200
they clearly still exist

1029
00:47:22,200 --> 00:47:25,280
and research suggests that they
can have a significant effect

1030
00:47:25,280 --> 00:47:29,320
on how we perform on
certain intelligence tests.

1031
00:47:29,320 --> 00:47:31,880
So, is there anything
we can do to change them?

1032
00:47:31,880 --> 00:47:35,240
There's a very nice study
where they took a group of girls,

1033
00:47:35,240 --> 00:47:38,400
who were underperforming on spatial
tasks,

1034
00:47:38,400 --> 00:47:42,360
and they let them play Tetris
intensively for about three months.

1035
00:47:42,360 --> 00:47:46,120
Those parts of brain,
which underpin spatial performance,

1036
00:47:46,120 --> 00:47:48,520
changed quite subtly.
Physically changed?

1037
00:47:48,520 --> 00:47:49,800
Physically changed.

1038
00:47:49,800 --> 00:47:50,960
After just three months,

1039
00:47:50,960 --> 00:47:54,280
parts of the cortex -
the outer layer of the brain -

1040
00:47:54,280 --> 00:47:57,480
got thicker and other parts of
the brain became more active

1041
00:47:57,480 --> 00:48:00,520
when solving a spatial problem.

1042
00:48:00,520 --> 00:48:05,280
So, we can actually show
how a specific part of the brain,

1043
00:48:05,280 --> 00:48:07,320
and a specific
function of the brain,

1044
00:48:07,320 --> 00:48:10,720
can respond to training
and will change behaviour.

1045
00:48:12,080 --> 00:48:14,440
There you go then, Michael.
You've got no excuse any more.

1046
00:48:14,440 --> 00:48:17,080
You can start working on your
emotional intelligence right away.

1047
00:48:17,080 --> 00:48:19,680
I will start immediately.

1048
00:48:19,680 --> 00:48:22,320
He won't. OK.

1049
00:48:22,320 --> 00:48:24,440
For our final investigation,

1050
00:48:24,440 --> 00:48:27,240
we are looking into one
of the things that's crucial

1051
00:48:27,240 --> 00:48:28,960
to every aspect of our life -

1052
00:48:28,960 --> 00:48:32,000
our ability to communicate,
our way with words.

1053
00:48:32,000 --> 00:48:36,160
When do you think you're
talent as a wordsmith peaks?

1054
00:48:36,160 --> 00:48:39,200
Can you turn a phrase better
in your 20s or your 70s?

1055
00:48:44,680 --> 00:48:47,080
How many words I know is something
that should get better

1056
00:48:47,080 --> 00:48:48,840
as I get older.

1057
00:48:48,840 --> 00:48:51,360
Verbal skills continue
to improve into old age.

1058
00:48:51,360 --> 00:48:54,760
It probably gets a wee bit worse
with age because your memory goes.

1059
00:48:54,760 --> 00:48:58,480
Language peaks potentially
around your late 20s, early 30s.

1060
00:48:58,480 --> 00:49:01,440
I've had to understand
new words all my life.

1061
00:49:01,440 --> 00:49:04,720
I think 12 to 16 is the best
age because, at that age,

1062
00:49:04,720 --> 00:49:07,960
you are, like, reading new stuff
every day in school.

1063
00:49:07,960 --> 00:49:09,880
I certainly don't have the word
skills, do I?

1064
00:49:09,880 --> 00:49:11,200
Cos I'm running out of them.

1065
00:49:16,320 --> 00:49:19,280
To test how age affects
our verbal intelligence,

1066
00:49:19,280 --> 00:49:23,560
we are going to pit our younger
team against our older team again.

1067
00:49:23,560 --> 00:49:26,640
OK, older team, last time
round didn't go so well for you.

1068
00:49:26,640 --> 00:49:28,360
No. Chance for redemption?

1069
00:49:28,360 --> 00:49:30,320
Oh, definitely a
chance for redemption.

1070
00:49:30,320 --> 00:49:32,120
Definitely. Rooting for you guys.

1071
00:49:32,120 --> 00:49:34,160
Don't let me down, OK? I hope so.

1072
00:49:34,160 --> 00:49:37,120
Now, younger team over here,
do you think you've got a chance?

1073
00:49:37,120 --> 00:49:39,280
No. No. Not at all.

1074
00:49:39,280 --> 00:49:40,600
HANNAH LAUGHS

1075
00:49:40,600 --> 00:49:42,920
OK. All right.
Well, we'll see, shall we?

1076
00:49:42,920 --> 00:49:46,160
Now, in this game,
you are going to be presented

1077
00:49:46,160 --> 00:49:50,600
with a word and four possible
definitions - like this.

1078
00:49:50,600 --> 00:49:52,840
You have to pick the definition

1079
00:49:52,840 --> 00:49:54,880
that best matches that word.

1080
00:49:54,880 --> 00:49:56,320
And, again, you are only

1081
00:49:56,320 --> 00:49:57,720
going to get a point here

1082
00:49:57,720 --> 00:50:01,160
if you are right when
the other team is wrong.

1083
00:50:01,160 --> 00:50:03,200
Give it a go. Off you go.

1084
00:50:06,640 --> 00:50:08,360
Oh! Just!

1085
00:50:08,360 --> 00:50:09,520
Lightning fingers.

1086
00:50:23,720 --> 00:50:26,760
Oh! Split of opinion and
the older team have it.

1087
00:50:37,120 --> 00:50:40,240
Both right again.

1088
00:50:45,880 --> 00:50:49,360
Oh, they're split and the
older team have it again.

1089
00:50:49,360 --> 00:50:52,480
Only two slip-ups so far
from the younger team.

1090
00:50:57,000 --> 00:50:58,240
Oh, split again.

1091
00:50:58,240 --> 00:51:00,080
Hickory.

1092
00:51:00,080 --> 00:51:01,960
Oh, the...

1093
00:51:01,960 --> 00:51:04,560
The older team,
you've dropped a point.

1094
00:51:04,560 --> 00:51:06,160
Don't like that!

1095
00:51:07,040 --> 00:51:08,600
KLAXON

1096
00:51:08,600 --> 00:51:11,880
And that means time is up.

1097
00:51:11,880 --> 00:51:15,240
OK, everybody, let's have a
little look at our scores here.

1098
00:51:15,240 --> 00:51:17,360
It was close, but

1099
00:51:17,360 --> 00:51:20,200
the older team, two points. Yay!

1100
00:51:20,200 --> 00:51:22,160
You clawed it back. Yay!

1101
00:51:22,160 --> 00:51:24,040
1-1 between you. Very good indeed.

1102
00:51:24,040 --> 00:51:27,160
But how does all of this compare
to the national results?

1103
00:51:27,160 --> 00:51:28,960
That's the big question.

1104
00:51:28,960 --> 00:51:31,680
Well, again, there were some
very interesting things

1105
00:51:31,680 --> 00:51:33,120
buried in the data

1106
00:51:33,120 --> 00:51:35,760
and, across Britain, by far

1107
00:51:35,760 --> 00:51:39,240
the best verbal abilities
were up here, in Scotland,

1108
00:51:39,240 --> 00:51:40,280
in Midlothian.

1109
00:51:40,280 --> 00:51:41,920
We also saw a very strong connection

1110
00:51:41,920 --> 00:51:43,440
between verbal intelligence

1111
00:51:43,440 --> 00:51:45,720
and how often you read books.

1112
00:51:45,720 --> 00:51:49,520
You can see here that people
who said that they rarely read

1113
00:51:49,520 --> 00:51:51,480
did a lot less well, on average,

1114
00:51:51,480 --> 00:51:54,760
than those who spent a
lot of their time reading.

1115
00:51:54,760 --> 00:51:59,200
But by far the biggest difference
on this game was for age.

1116
00:52:00,320 --> 00:52:04,760
So, this graph here shows how
different age groups performed -

1117
00:52:04,760 --> 00:52:06,080
and have a look at this.

1118
00:52:06,080 --> 00:52:10,800
The older our participants were,
the better they scored.

1119
00:52:10,800 --> 00:52:14,200
And what's more, most previous
studies showed that verbal abilities

1120
00:52:14,200 --> 00:52:15,920
peaked in the 60s.

1121
00:52:15,920 --> 00:52:18,360
But here we saw our participants

1122
00:52:18,360 --> 00:52:21,120
scoring highly well into their 80s.

1123
00:52:21,120 --> 00:52:23,200
And this is a very exciting finding,

1124
00:52:23,200 --> 00:52:25,120
and it shows that this is a skill

1125
00:52:25,120 --> 00:52:27,960
that really can
improve as we get older.

1126
00:52:27,960 --> 00:52:30,320
Michael, something
you can beat me at!

1127
00:52:30,320 --> 00:52:33,800
Yay! Apart, obviously,
from the reaction time test

1128
00:52:33,800 --> 00:52:35,800
and the strength test as well.

1129
00:52:35,800 --> 00:52:39,040
Now, Professor Alan Gow has been
studying how our thinking skills

1130
00:52:39,040 --> 00:52:40,560
can improve with age.

1131
00:52:40,560 --> 00:52:41,840
So, Alan, what's going on?

1132
00:52:41,840 --> 00:52:43,880
We talk about our verbal skills
as an example

1133
00:52:43,880 --> 00:52:45,960
of our crystallised abilities -

1134
00:52:45,960 --> 00:52:48,240
these are the abilities
that we accrue

1135
00:52:48,240 --> 00:52:50,960
through learning and experience.

1136
00:52:50,960 --> 00:52:54,040
So, unlike things like our memory,

1137
00:52:54,040 --> 00:52:56,920
our problem solving or
our speed of thinking,

1138
00:52:56,920 --> 00:53:00,200
our crystallised skills may keep
developing through midlife

1139
00:53:00,200 --> 00:53:02,520
and we may retain them into old age.

1140
00:53:02,520 --> 00:53:05,040
Which is extremely encouraging.

1141
00:53:05,040 --> 00:53:08,440
Now, our crystallised intelligence
can keep improving with age,

1142
00:53:08,440 --> 00:53:10,280
but what are the
best things we can do

1143
00:53:10,280 --> 00:53:13,200
to safeguard our intelligence
as we get older?

1144
00:53:13,200 --> 00:53:15,040
Well, we're in Glasgow tonight

1145
00:53:15,040 --> 00:53:19,120
and, luckily, the Scots can shed
some light on that question.

1146
00:53:21,400 --> 00:53:25,080
On Wednesday, the
fourth of June, 1947,

1147
00:53:25,080 --> 00:53:29,160
children aged between 10-11
attending school in Scotland

1148
00:53:29,160 --> 00:53:32,040
sat a national intelligence exam.

1149
00:53:33,240 --> 00:53:36,080
The exam papers lay
undisturbed for years,

1150
00:53:36,080 --> 00:53:38,520
until academics at
Edinburgh University

1151
00:53:38,520 --> 00:53:40,720
came across them in the archives.

1152
00:53:42,000 --> 00:53:43,800
The discovery of these IQ tests

1153
00:53:43,800 --> 00:53:46,000
raised a fascinating possibility.

1154
00:53:46,000 --> 00:53:47,680
If they could track
down the children

1155
00:53:47,680 --> 00:53:49,480
who'd done the original test

1156
00:53:49,480 --> 00:53:52,040
and then retest them,
decades later,

1157
00:53:52,040 --> 00:53:55,240
then they could see whose IQ
score had gone up,

1158
00:53:55,240 --> 00:53:57,600
whose down, whose stayed the same,

1159
00:53:57,600 --> 00:54:02,080
and that, in turn, might lead them
to the keys to successful ageing.

1160
00:54:02,080 --> 00:54:06,360
A group of Scots, known as the
Lothian Birth Cohort,

1161
00:54:06,360 --> 00:54:09,600
retook the very same
exam they sat aged 11

1162
00:54:09,600 --> 00:54:11,600
over half a century later,

1163
00:54:11,600 --> 00:54:14,080
when they were aged 70.

1164
00:54:14,080 --> 00:54:17,840
Professor Ian Deary compared
the results of both exams

1165
00:54:17,840 --> 00:54:20,760
to see how people's brains had aged.

1166
00:54:20,760 --> 00:54:22,600
These are the scores from age 11,

1167
00:54:22,600 --> 00:54:24,640
which we've plotted
along the bottom,

1168
00:54:24,640 --> 00:54:26,840
and age 70, which goes up the side,

1169
00:54:26,840 --> 00:54:29,120
so each dot represents a person.

1170
00:54:29,120 --> 00:54:30,960
That's an average score.

1171
00:54:30,960 --> 00:54:33,520
And here's somebody who got
an average score in childhood

1172
00:54:33,520 --> 00:54:35,400
and in older age.

1173
00:54:35,400 --> 00:54:38,160
But some people are getting
very low scores in older age

1174
00:54:38,160 --> 00:54:40,320
and some people are doing superbly
in older age.

1175
00:54:40,320 --> 00:54:43,560
So, we have the super agers,
if you like, up here.

1176
00:54:43,560 --> 00:54:47,720
To find out why some people's brains
had aged better than others,

1177
00:54:47,720 --> 00:54:49,800
Ian subjected them to tests,

1178
00:54:49,800 --> 00:54:52,240
including genetic profiling

1179
00:54:52,240 --> 00:54:56,120
and detailed questionnaires
about their lifestyles.

1180
00:54:56,120 --> 00:54:59,840
There's a small contribution
from certain genetic factors

1181
00:54:59,840 --> 00:55:03,240
toward how much people change
in their thinking skills,

1182
00:55:03,240 --> 00:55:07,520
but there's a big slice here
that's to do with lifestyle factors.

1183
00:55:07,520 --> 00:55:09,880
You can't change
what your score was at 11,

1184
00:55:09,880 --> 00:55:12,080
you can't really
change your genetics,

1185
00:55:12,080 --> 00:55:13,600
but you can change your lifestyle.

1186
00:55:15,440 --> 00:55:17,440
Ian's research has
shown that those who were

1187
00:55:17,440 --> 00:55:21,280
consistently physically and mentally
active had better thinking skills

1188
00:55:21,280 --> 00:55:23,640
in older age,

1189
00:55:23,640 --> 00:55:26,760
as did those who had
learned a second language.

1190
00:55:26,760 --> 00:55:30,240
On the other hand, we're finding
that things like

1191
00:55:30,240 --> 00:55:32,080
having type-two diabetes,

1192
00:55:32,080 --> 00:55:35,080
high blood pressure or smoking

1193
00:55:35,080 --> 00:55:38,000
are associated with slightly
less good thinking skills.

1194
00:55:38,000 --> 00:55:39,920
If one's looking
towards healthy living,

1195
00:55:39,920 --> 00:55:42,480
it's probably playing the
numbers by making sure

1196
00:55:42,480 --> 00:55:45,480
you're doing the right thing
in a number of areas.

1197
00:55:46,520 --> 00:55:50,240
Audrey Innes was one of the
participants in this study,

1198
00:55:50,240 --> 00:55:52,600
along with Patrick Forsyth.

1199
00:55:52,600 --> 00:55:56,840
Impressively, both scored better
on the test second time around.

1200
00:55:56,840 --> 00:56:00,320
Do you have any theories as
to why you're ageing well?

1201
00:56:00,320 --> 00:56:04,120
I play golf, but it's getting less,
I must admit -

1202
00:56:04,120 --> 00:56:05,800
particularly in the winter.

1203
00:56:05,800 --> 00:56:08,240
But, come this summer,
hopefully I'll be...

1204
00:56:08,240 --> 00:56:09,640
Out there again. Yeah.

1205
00:56:09,640 --> 00:56:11,080
Are you sporty?

1206
00:56:11,080 --> 00:56:13,280
I cycle every day

1207
00:56:13,280 --> 00:56:15,160
and I have a very good friend

1208
00:56:15,160 --> 00:56:18,520
with whom I do cycling
expeditions wherever -

1209
00:56:18,520 --> 00:56:21,200
Hungary or France, or wherever.

1210
00:56:21,200 --> 00:56:24,480
I always make sure that I'm a little
bit au fait with the language.

1211
00:56:24,480 --> 00:56:25,880
You've aged well.

1212
00:56:25,880 --> 00:56:27,320
It's rather reassuring, isn't it?

1213
00:56:27,320 --> 00:56:28,960
Well, it is, yeah. Yeah.

1214
00:56:28,960 --> 00:56:32,000
You're not sort of going downhill,
you're continuing to go uphill.

1215
00:56:33,200 --> 00:56:36,880
So, Alan, I used to think that
really, by the time you hit my age,

1216
00:56:36,880 --> 00:56:38,480
there wasn't much you could do,

1217
00:56:38,480 --> 00:56:40,080
but we realise now that, actually,

1218
00:56:40,080 --> 00:56:41,720
the brain is quite plastic, isn't
it?

1219
00:56:41,720 --> 00:56:43,960
There's certainly evidence growing

1220
00:56:43,960 --> 00:56:46,560
that learning or engaging
with something new

1221
00:56:46,560 --> 00:56:49,680
might help to strengthen
or build new connections.

1222
00:56:49,680 --> 00:56:53,720
A big study in the States looked
at people taking up a new activity,

1223
00:56:53,720 --> 00:56:59,040
like quilting, digital photography,
learning to use a new technology.

1224
00:56:59,040 --> 00:57:01,240
People that speak
more than one language

1225
00:57:01,240 --> 00:57:04,120
may have benefits for thinking
skills and brain health.

1226
00:57:04,120 --> 00:57:06,720
There are studies suggesting
that learning a new language

1227
00:57:06,720 --> 00:57:09,080
at any age might be beneficial.

1228
00:57:09,080 --> 00:57:12,040
So, what would your top piece of
advice be to keep your brain young?

1229
00:57:12,040 --> 00:57:14,040
Physical activity
is probably the one

1230
00:57:14,040 --> 00:57:15,680
that consistently comes out

1231
00:57:15,680 --> 00:57:17,320
as being the most beneficial.

1232
00:57:17,320 --> 00:57:19,880
And we mustn't forget that social
connections,

1233
00:57:19,880 --> 00:57:21,040
social interaction,

1234
00:57:21,040 --> 00:57:22,520
or indeed the opposite -

1235
00:57:22,520 --> 00:57:25,680
not being lonely - seems to be
important for people's brain health.

1236
00:57:25,680 --> 00:57:27,880
OK, brilliant. Thank
you very much, Alan.

1237
00:57:27,880 --> 00:57:31,280
There is so much that we can
do to improve our brainpower

1238
00:57:31,280 --> 00:57:33,920
and it's important to add that there
are lots of things

1239
00:57:33,920 --> 00:57:37,000
that intelligence tests can't
measure, like personality.

1240
00:57:37,000 --> 00:57:40,760
Yes, the most important personality
trait, in this regard,

1241
00:57:40,760 --> 00:57:42,520
is conscientiousness -

1242
00:57:42,520 --> 00:57:44,320
otherwise known as grit -

1243
00:57:44,320 --> 00:57:46,520
or old-fashioned hard work.

1244
00:57:46,520 --> 00:57:50,200
Studies suggest this can
compensate for raw brainpower,

1245
00:57:50,200 --> 00:57:52,200
helping to strengthen
our weaknesses.

1246
00:57:52,200 --> 00:57:54,840
Now, what I've learned is
I clearly need to start gaming,

1247
00:57:54,840 --> 00:57:56,720
preferably in French,

1248
00:57:56,720 --> 00:58:00,120
and that Hannah needs to
get down to the gym more.

1249
00:58:00,120 --> 00:58:03,720
Maybe in the New Year. If you
want to find out how you score

1250
00:58:03,720 --> 00:58:05,440
on any of these tests,
go online to

1251
00:58:05,440 --> 00:58:07,720
The Great British
Intelligence Test website.

1252
00:58:07,720 --> 00:58:10,720
Thank you so much to our volunteers
here in the studio,

1253
00:58:10,720 --> 00:58:13,560
to our experts and to
every one of you at home

1254
00:58:13,560 --> 00:58:15,080
who helped make this

1255
00:58:15,080 --> 00:58:18,440
the biggest online intelligence test
of its kind ever.

1256
00:58:18,440 --> 00:58:20,040
Goodnight. Goodnight.

