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What does a brain need to be healthy? | 0:00:04 | 0:00:06 | |
Well, it needs nutrients from the food you eat, | 0:00:08 | 0:00:11 | |
it needs oxygen from your blood, plenty of water. | 0:00:11 | 0:00:14 | |
But there's something else, something equally as important. | 0:00:14 | 0:00:18 | |
It needs other people. | 0:00:18 | 0:00:20 | |
CHEERING | 0:00:20 | 0:00:25 | |
Human beings are extremely social creatures. | 0:00:31 | 0:00:34 | |
We come together, we team up, | 0:00:36 | 0:00:39 | |
we share moments of intense joy and disappointment. | 0:00:39 | 0:00:43 | |
We don't just seek out other people to have a good time. | 0:00:46 | 0:00:49 | |
Your brain function depends on the social web that you're in. | 0:00:49 | 0:00:53 | |
Your neurons require other people's neurons to thrive and survive. | 0:00:53 | 0:00:58 | |
I want to show you how our brains are fundamentally wired | 0:00:59 | 0:01:03 | |
to work together... | 0:01:03 | 0:01:04 | |
..how this social network that envelops us | 0:01:07 | 0:01:10 | |
from birth is vital for our survival. | 0:01:10 | 0:01:13 | |
Yeah? OK! | 0:01:17 | 0:01:19 | |
Understanding how brains deal with each other allows us | 0:01:19 | 0:01:22 | |
to understand what bonds our species, driving us to help | 0:01:22 | 0:01:28 | |
one another and what makes us hate... | 0:01:28 | 0:01:32 | |
..what allows acts of human violence. | 0:01:33 | 0:01:36 | |
It helps us to make sense of our past | 0:01:37 | 0:01:41 | |
and holds the key to our future. | 0:01:41 | 0:01:43 | |
There are seven billion people living today - seven billion brains | 0:01:56 | 0:02:02 | |
moving, choosing, acting, | 0:02:02 | 0:02:06 | |
believing and connecting with other brains. | 0:02:06 | 0:02:10 | |
Brains are traditionally studied in isolation but, in fact, | 0:02:12 | 0:02:16 | |
much of the circuitry of the brain has to do with other brains. | 0:02:16 | 0:02:20 | |
We're fundamentally social creatures | 0:02:20 | 0:02:22 | |
and our society is a complex web of interaction. | 0:02:22 | 0:02:26 | |
On any normal day, we intersect with an enormous number of people. | 0:02:26 | 0:02:31 | |
'Our lives are built on these intersections, | 0:02:33 | 0:02:36 | |
'not just between us and our family and friends and work colleagues, | 0:02:36 | 0:02:42 | |
'but also between them and the people they meet.' | 0:02:42 | 0:02:45 | |
'Even the most basic encounter...' | 0:02:51 | 0:02:54 | |
like getting a cup of coffee... | 0:02:54 | 0:02:56 | |
'..relies on trust with a stranger.' | 0:02:56 | 0:02:59 | |
-Could I get a latte, please? -Definitely. -Thanks. | 0:02:59 | 0:03:01 | |
Everywhere we look, we see complex social interactions, relationships | 0:03:04 | 0:03:10 | |
forming and breaking, bonds of love and support, social networking. | 0:03:10 | 0:03:16 | |
'We clump into large groups to share our knowledge.' | 0:03:18 | 0:03:22 | |
You've got all these random spots in your brain that get | 0:03:22 | 0:03:25 | |
wired up into an associative neural network. | 0:03:25 | 0:03:27 | |
'We work to impress each other and we swap ideas.' | 0:03:27 | 0:03:32 | |
I'll stick around for any questions that anyone has. Thank you. | 0:03:32 | 0:03:34 | |
CLAPPING | 0:03:34 | 0:03:37 | |
'Most research looks at one brain at a time, | 0:03:38 | 0:03:41 | |
'but that misses the fact that a great deal of our brain activity | 0:03:41 | 0:03:45 | |
'is dedicated to communicating with each other, | 0:03:45 | 0:03:49 | |
'interpreting each other.' | 0:03:49 | 0:03:50 | |
'Our social drive is deeply rooted in our neural circuitry.' | 0:03:51 | 0:03:55 | |
Take a look at this film from the 1940s. | 0:04:00 | 0:04:02 | |
What do you see happening here? | 0:04:02 | 0:04:04 | |
Is this just a simple animation of some shapes or something more? | 0:04:05 | 0:04:10 | |
Do you see a chase, a fight, a love story? | 0:04:10 | 0:04:14 | |
The big one seems to be pushing the little one around. | 0:04:16 | 0:04:20 | |
It seems like the two triangles are in a little bit of a squabble. | 0:04:20 | 0:04:25 | |
There are relationships here | 0:04:25 | 0:04:26 | |
in terms of one is more dominant than the other. | 0:04:26 | 0:04:29 | |
Back in the 1940s, psychologists Fritz Heider | 0:04:31 | 0:04:34 | |
and Marianne Simmel created this film as part of an experiment. | 0:04:34 | 0:04:39 | |
-The ball doesn't seem to want to be in there. -It's freaking out. | 0:04:39 | 0:04:42 | |
It's scared. It looks like a trap to me. | 0:04:42 | 0:04:45 | |
It looks like the smaller triangle is being shut out and, like, | 0:04:46 | 0:04:49 | |
trying to peer in. | 0:04:49 | 0:04:52 | |
-They are paired in a way that seems friendly. -Yeah. | 0:04:52 | 0:04:56 | |
-This is really fun. -It's fun, right? | 0:04:56 | 0:04:58 | |
'What Heider and Simmel found, as I did, | 0:04:59 | 0:05:02 | |
'is how easy it is to look at moving shapes and to see meaning | 0:05:02 | 0:05:07 | |
'and motives and emotion, all in the form of a social narrative.' | 0:05:07 | 0:05:12 | |
I kind of get the sense that they're cats and dogs. | 0:05:14 | 0:05:16 | |
It seemed like the big one might have been, | 0:05:16 | 0:05:18 | |
like, his dad or something. | 0:05:18 | 0:05:20 | |
Just call it more of, like, a mating ritual - | 0:05:20 | 0:05:22 | |
two competitors going for one possible mate. | 0:05:22 | 0:05:25 | |
These are just shapes on a screen but we can't help | 0:05:28 | 0:05:31 | |
but tell stories about them. Why? | 0:05:31 | 0:05:34 | |
It's because our brains are so primed for social interaction | 0:05:34 | 0:05:37 | |
that we look for intention in relationships all around us. | 0:05:37 | 0:05:41 | |
One way we navigate the social world | 0:05:43 | 0:05:45 | |
is by judging other people's intentions. | 0:05:45 | 0:05:49 | |
Is she is trying to be helpful? | 0:05:49 | 0:05:52 | |
Are we a trustworthy team? | 0:05:54 | 0:05:56 | |
Our brains are good at making these sorts of judgements | 0:05:57 | 0:06:00 | |
and we do it constantly | 0:06:00 | 0:06:03 | |
but do we learn this skill from life experience or are we born with it? | 0:06:03 | 0:06:07 | |
To figure out which one it is, I've invited over some people who | 0:06:10 | 0:06:13 | |
don't have much experience with the world. | 0:06:13 | 0:06:16 | |
SHE CRIES | 0:06:16 | 0:06:18 | |
I've invited them to a puppet show. | 0:06:18 | 0:06:20 | |
These babies are all under 12 months old. | 0:06:22 | 0:06:26 | |
They're just beginning to explore the world around them. | 0:06:26 | 0:06:30 | |
You could say they're all a little short on life experience. | 0:06:30 | 0:06:33 | |
We decided to run a simple experiment | 0:06:35 | 0:06:37 | |
developed at Yale University. | 0:06:37 | 0:06:39 | |
Here's a duck struggling to open a box. | 0:06:44 | 0:06:46 | |
One bear helps the duck. | 0:06:51 | 0:06:53 | |
The other is mean to the duck. | 0:06:59 | 0:07:01 | |
OK, Booey. Here you go. There are two puppets. | 0:07:05 | 0:07:08 | |
'When the show's over, I let the babies choose a bear to play with.' | 0:07:08 | 0:07:12 | |
Yeah, OK. Is that the one you like? All right. | 0:07:15 | 0:07:17 | |
'Almost every one of them chooses the bear that's been kind.' | 0:07:17 | 0:07:21 | |
'These babies can't walk or talk | 0:07:23 | 0:07:25 | |
'and yet they already have the tools to make judgements about others.' | 0:07:25 | 0:07:30 | |
Yeah? OK! | 0:07:32 | 0:07:33 | |
It's often assumed that trust is something that we | 0:07:35 | 0:07:37 | |
learn from our experience in the world, but these experiments | 0:07:37 | 0:07:40 | |
demonstrate that, even as babies, we come equipped with | 0:07:40 | 0:07:44 | |
social antennae for feeling our way through the world. | 0:07:44 | 0:07:47 | |
The brain comes with inborn instincts for figuring out | 0:07:47 | 0:07:51 | |
who's trustworthy and who's not. | 0:07:51 | 0:07:53 | |
BABY GURGLES | 0:07:53 | 0:07:54 | |
As we grow, our social challenges become even more subtle | 0:07:55 | 0:08:00 | |
and complex. | 0:08:00 | 0:08:01 | |
Understanding others is one of the most demanding operations | 0:08:03 | 0:08:07 | |
that our brains perform. | 0:08:07 | 0:08:08 | |
They have to interpret words and, more than that, inflection, | 0:08:11 | 0:08:16 | |
facial expressions, body language. | 0:08:16 | 0:08:18 | |
Does she like me? | 0:08:21 | 0:08:22 | |
Is he interested in what I'm saying? | 0:08:24 | 0:08:26 | |
Do they want my help? | 0:08:28 | 0:08:29 | |
Society runs on our ability to read each other's social signals. | 0:08:31 | 0:08:37 | |
Take that ability away and the world becomes a very strange place. | 0:08:39 | 0:08:44 | |
Car enthusiast John Robeson has always struggled to read | 0:08:52 | 0:08:56 | |
other people. | 0:08:56 | 0:08:57 | |
When I was a little boy, I was bullied and rejected by | 0:08:59 | 0:09:03 | |
other kids, and that didn't happen with machines, you know. | 0:09:03 | 0:09:07 | |
I could stand by a tractor in my grandparents' farm | 0:09:07 | 0:09:12 | |
and I could learn how to adjust it and it wouldn't tease me | 0:09:12 | 0:09:16 | |
or do anything bad, it wouldn't run away, it would | 0:09:16 | 0:09:18 | |
always be there and I could count on it. | 0:09:18 | 0:09:20 | |
And I guess I learned to make friends with | 0:09:20 | 0:09:24 | |
the machines before I learned how to make friends with other people. | 0:09:24 | 0:09:29 | |
In time, John's affinity for technology took him | 0:09:29 | 0:09:32 | |
to places his bullies could only dream of. | 0:09:32 | 0:09:35 | |
By 21, he was a roadie for the band Kiss. | 0:09:36 | 0:09:40 | |
This was me, back with Kiss in the '70s. | 0:09:40 | 0:09:44 | |
I'm older and fatter and stuff. I don't look the same any more. | 0:09:44 | 0:09:47 | |
Surrounded by legendary rock and roll excess, | 0:09:50 | 0:09:53 | |
his outlook remained different from other people's. | 0:09:53 | 0:09:57 | |
People would come up to me all the time and they would say, | 0:09:57 | 0:10:00 | |
"What's this guy like?" or, "What's that guy like?" | 0:10:00 | 0:10:03 | |
I would say, "Yeah, their stage set-up, | 0:10:04 | 0:10:06 | |
"they had Sunn 2000S bass amps," or, "Gene played Sunn Coliseums, | 0:10:06 | 0:10:10 | |
"and we had seven bass amps chained together, | 0:10:10 | 0:10:13 | |
"we had 2,200 watts in the bass system for that." | 0:10:13 | 0:10:16 | |
But I maybe couldn't tell you | 0:10:17 | 0:10:18 | |
the first thing about the musicians who sang through them. | 0:10:18 | 0:10:21 | |
Now I realise that shows that I did kind of live in | 0:10:24 | 0:10:28 | |
a different world all those years - a world of machines and equipment. | 0:10:28 | 0:10:32 | |
When he was 40, John was diagnosed with Asperger's - a form of autism. | 0:10:35 | 0:10:41 | |
Many regions of the brain are engaged during | 0:10:48 | 0:10:51 | |
social interaction, but in autism, that brain activity isn't seen | 0:10:51 | 0:10:56 | |
as strongly, and that's paralleled by diminished social skills. | 0:10:56 | 0:11:01 | |
I didn't really understand that there were complex messages | 0:11:02 | 0:11:08 | |
in faces until I was well into adulthood and learned about autism. | 0:11:08 | 0:11:13 | |
I knew that people could display signs of crazed anger.. | 0:11:15 | 0:11:20 | |
..but if you asked about more subtle expressions, you know, | 0:11:22 | 0:11:28 | |
I think you're sweet and I wonder what you're hiding, | 0:11:28 | 0:11:31 | |
or, I'd really like to do that, or, I wish you'd do this or that, I... | 0:11:31 | 0:11:35 | |
I had no idea about things like that. | 0:11:36 | 0:11:39 | |
But then came a transforming moment in John's life. | 0:11:45 | 0:11:48 | |
In 2008, he was invited to Harvard Medical School to take part | 0:11:49 | 0:11:54 | |
in an experiment on his brain - overseen by Dr Alvaro Pascual-Leone. | 0:11:54 | 0:12:00 | |
It was an attempt to try to understand | 0:12:02 | 0:12:05 | |
how activity in one area | 0:12:05 | 0:12:07 | |
affects activity in another area and how that affects behaviour. | 0:12:07 | 0:12:12 | |
The experiment was only meant to help the scientists gain | 0:12:14 | 0:12:17 | |
greater knowledge about the autistic brain. | 0:12:17 | 0:12:19 | |
But then, something unexpected happened. | 0:12:21 | 0:12:24 | |
John was given transcranial magnetic stimulation, or TMS. | 0:12:27 | 0:12:32 | |
Magnetic coils were placed next to his head to generate | 0:12:32 | 0:12:36 | |
minute electrical currents in the brain and alter its activity. | 0:12:36 | 0:12:40 | |
The researchers targeted different regions of John's brain to see | 0:12:42 | 0:12:46 | |
whether interfering with his brain activity had | 0:12:46 | 0:12:50 | |
-any effect on his behaviour. -They would test me after the session. | 0:12:50 | 0:12:56 | |
I would go home, kind of not knowing what to expect. | 0:12:56 | 0:12:59 | |
At first, there was no result, | 0:13:00 | 0:13:02 | |
but then they targeted the dorsolateral prefrontal cortex, | 0:13:02 | 0:13:06 | |
a region involved in flexible thinking and abstraction, | 0:13:06 | 0:13:11 | |
and something dramatic happened. | 0:13:11 | 0:13:14 | |
Somehow, I became different. | 0:13:14 | 0:13:15 | |
He contacted us, very excited, to say, you know, | 0:13:19 | 0:13:24 | |
"The effects of the stimulation seemed to have unlocked | 0:13:24 | 0:13:27 | |
"something and the effects are still lasting | 0:13:27 | 0:13:30 | |
"and I now can do things that I could never do!" | 0:13:30 | 0:13:33 | |
After TMS, I was able to sort of read signals from other people | 0:13:38 | 0:13:44 | |
and understand what was going on. | 0:13:44 | 0:13:46 | |
So I listened to that, fascinated by it, and thought, OK, well, whatever. | 0:13:48 | 0:13:53 | |
It'll go away. But it didn't. | 0:13:53 | 0:13:55 | |
It actually remained something that had really | 0:13:55 | 0:13:58 | |
fundamentally changed in him. | 0:13:58 | 0:14:00 | |
Somehow, and entirely accidentally, | 0:14:03 | 0:14:06 | |
the TMS had unlocked a whole new world for John. | 0:14:06 | 0:14:10 | |
A vegetable sandwich to bring home... | 0:14:10 | 0:14:11 | |
'I'd be tempted to say I couldn't read people and now I can, | 0:14:11 | 0:14:16 | |
'but that's not really true.' | 0:14:16 | 0:14:18 | |
-OK, how about a full-sized... One of them? -Sure. | 0:14:18 | 0:14:21 | |
It's more accurate to say I had no idea there were these | 0:14:21 | 0:14:25 | |
messages emanating from other people. | 0:14:25 | 0:14:28 | |
'TMS showed me those messages, and now that | 0:14:30 | 0:14:34 | |
'I'm aware that they're out there, everything I do is different.' | 0:14:34 | 0:14:38 | |
All of a sudden, you can walk around and engage the world... | 0:14:39 | 0:14:42 | |
'..and it's a big, big thing.' | 0:14:43 | 0:14:45 | |
OK, thanks. | 0:14:46 | 0:14:47 | |
We don't know exactly what happened neurobiologically | 0:14:50 | 0:14:53 | |
but I think it now offers the opportunity for us | 0:14:53 | 0:14:55 | |
to understand what behavioural modifications, what interventions | 0:14:55 | 0:15:00 | |
might be possible to learn from him that we can then teach others. | 0:15:00 | 0:15:04 | |
John's transformation is a reminder that all | 0:15:07 | 0:15:11 | |
the activities of the human brain, | 0:15:11 | 0:15:13 | |
including the subtle interplay of emotions and relationships, | 0:15:13 | 0:15:18 | |
are rooted in the detailed patterns | 0:15:18 | 0:15:21 | |
of trillions of electrochemical signals. | 0:15:21 | 0:15:24 | |
Somehow, humans can look at each other | 0:15:32 | 0:15:34 | |
and study the arrangement of facial muscles | 0:15:34 | 0:15:38 | |
and then process that information into an understanding of | 0:15:38 | 0:15:42 | |
other people's thoughts and emotions. | 0:15:42 | 0:15:45 | |
It's an astonishing skill because the cues are so subtle | 0:15:47 | 0:15:52 | |
and the processing is so rapid | 0:15:52 | 0:15:55 | |
that the whole operation runs under your radar. | 0:15:55 | 0:15:59 | |
It only takes 33 milliseconds for your brain to process basic | 0:16:01 | 0:16:06 | |
information about someone's facial expression and start reacting to it. | 0:16:06 | 0:16:12 | |
So we're going to put one electrode right above your eyebrow... | 0:16:12 | 0:16:15 | |
'So how does it do that?' | 0:16:15 | 0:16:16 | |
..and the other right on your cheek. There we go. Great. | 0:16:16 | 0:16:19 | |
'I've invited a group of people to run an experiment. | 0:16:22 | 0:16:27 | |
'I've wired up to a machine that measures movements in their | 0:16:27 | 0:16:30 | |
'facial muscles and I've asked them to look at photographs of faces.' | 0:16:30 | 0:16:35 | |
When participants are looking at a photograph with a smile | 0:16:44 | 0:16:47 | |
or a frown, we see this activity on the graph, | 0:16:47 | 0:16:51 | |
which indicates that their own facial muscles are moving. | 0:16:51 | 0:16:54 | |
Why? | 0:16:55 | 0:16:56 | |
Well, it turns out that they are automatically mirroring, | 0:16:59 | 0:17:02 | |
with their own faces, the expressions that they're seeing. | 0:17:02 | 0:17:06 | |
-That was fun, right, the last one? -Yeah. -Yeah, that was a fun test! | 0:17:09 | 0:17:14 | |
But what purpose does this mirroring serve? | 0:17:14 | 0:17:16 | |
I've invited a second group of people. | 0:17:18 | 0:17:21 | |
They're similar to the first group except for one thing. | 0:17:21 | 0:17:25 | |
This is the most lethal neurotoxin on the planet. | 0:17:32 | 0:17:36 | |
If you were to ingest even a fraction of this, | 0:17:36 | 0:17:39 | |
your brain could no longer tell your muscles how to contract, | 0:17:39 | 0:17:42 | |
and you would die of total paralysis. | 0:17:42 | 0:17:44 | |
So it seems unlikely that anyone would pay to have this | 0:17:44 | 0:17:48 | |
injected into themselves, but they do. | 0:17:48 | 0:17:50 | |
This is known as botulinum toxin or Botox. | 0:17:52 | 0:17:55 | |
If you put in your forehead muscles, it paralyses them | 0:17:57 | 0:18:00 | |
to reduce wrinkling. | 0:18:00 | 0:18:02 | |
But there's a less well-known side-effect. | 0:18:04 | 0:18:07 | |
When our participants with Botox went through the same tests, | 0:18:11 | 0:18:16 | |
their facial muscles responded less. No surprise there. | 0:18:16 | 0:18:20 | |
But replicating an experiment out of Duke University, | 0:18:20 | 0:18:24 | |
we had both groups look at facial expressions | 0:18:24 | 0:18:27 | |
and now they were asked to choose the word that best described | 0:18:27 | 0:18:32 | |
the emotion they were seeing. | 0:18:32 | 0:18:34 | |
Panic. | 0:18:39 | 0:18:41 | |
Panicked. | 0:18:41 | 0:18:43 | |
Upset. | 0:18:45 | 0:18:46 | |
On average, the Botox group was worse at identifying | 0:18:48 | 0:18:53 | |
the emotions correctly. | 0:18:53 | 0:18:54 | |
Sceptical? | 0:18:56 | 0:18:57 | |
It seems that the lack of feedback from their facial muscles | 0:18:57 | 0:19:01 | |
impairs their ability to read other people. | 0:19:01 | 0:19:05 | |
The paralysed faces of Botox users not only makes it hard for us | 0:19:05 | 0:19:10 | |
to tell what THEY'RE feeling, | 0:19:10 | 0:19:12 | |
those same frozen muscles make it hard for THEM to read US. | 0:19:12 | 0:19:17 | |
And that tells us something. | 0:19:18 | 0:19:21 | |
When I'm happy or sad, part of that feeling | 0:19:21 | 0:19:24 | |
relies on the unconscious feedback from muscles in my face. | 0:19:24 | 0:19:29 | |
And our social brains take advantage of that, | 0:19:29 | 0:19:32 | |
so when we're trying to understand what someone else is feeling, | 0:19:32 | 0:19:36 | |
we try on their facial expression. | 0:19:36 | 0:19:38 | |
This automatic mirroring of expressions is just one way | 0:19:41 | 0:19:46 | |
in which we understand others. | 0:19:46 | 0:19:49 | |
The brain also has a deeper way, | 0:19:49 | 0:19:52 | |
one that's best explained at the movies. | 0:19:52 | 0:19:55 | |
One ticket, please. | 0:20:03 | 0:20:05 | |
Thank you. | 0:20:06 | 0:20:08 | |
When we go to the movie theatre, | 0:20:10 | 0:20:12 | |
we know full well that it's make-believe. | 0:20:12 | 0:20:15 | |
The people on the screen are just acting. | 0:20:15 | 0:20:19 | |
And yet, we still react. We gasp and flinch and cry. | 0:20:19 | 0:20:25 | |
Why do we fall for it? | 0:20:25 | 0:20:26 | |
To understand why we care about other people getting hurt, | 0:20:33 | 0:20:36 | |
we need to understand what happens in your brain when you get hurt. | 0:20:36 | 0:20:40 | |
So imagine that somebody | 0:20:40 | 0:20:41 | |
were to stab your hand with a syringe needle. | 0:20:41 | 0:20:44 | |
That activates a network of areas in your brain that we call | 0:20:44 | 0:20:47 | |
the pain matrix. | 0:20:47 | 0:20:50 | |
There's no single spot in the brain where pain is processed. | 0:20:52 | 0:20:56 | |
Instead, the perception of pain arises from several different | 0:20:57 | 0:21:01 | |
areas networking together. | 0:21:01 | 0:21:03 | |
Strangely enough, | 0:21:03 | 0:21:06 | |
this pain matrix is at the heart of how we connect with others. | 0:21:06 | 0:21:10 | |
Now, when you watch someone else get stabbed, | 0:21:13 | 0:21:16 | |
your pain matrix becomes activated. | 0:21:16 | 0:21:19 | |
Not the parts that tell you you've actually been touched, | 0:21:20 | 0:21:24 | |
but the parts involved in the emotional experience of pain. | 0:21:24 | 0:21:28 | |
In other words, watching someone else in pain and being in pain | 0:21:28 | 0:21:33 | |
use the same neural machinery and that's the basis of empathy. | 0:21:33 | 0:21:38 | |
To empathise with another person is to literally feel their pain. | 0:21:47 | 0:21:52 | |
You run a compelling simulation of what it would be like | 0:21:55 | 0:21:59 | |
if you were in that situation. | 0:21:59 | 0:22:02 | |
And our capacity to do this is why stories and movies and novels | 0:22:02 | 0:22:07 | |
are so absorbing and why they're so pervasive across human culture | 0:22:07 | 0:22:12 | |
because whether it's about total strangers or made-up characters, | 0:22:12 | 0:22:17 | |
you experience their agony and their ecstasy, you fluidly become them | 0:22:17 | 0:22:23 | |
and live their lives and stand in their vantage points. | 0:22:23 | 0:22:27 | |
You can tell yourself that the stories aren't real, | 0:22:30 | 0:22:33 | |
but some neurons deep in your brain can't tell the difference. | 0:22:33 | 0:22:37 | |
Our capacity to feel another person's pain is part of what | 0:22:48 | 0:22:52 | |
makes us so good at taking other people's perspective, | 0:22:52 | 0:22:55 | |
to step out of our shoes and into their shoes, neurally speaking. | 0:22:55 | 0:22:59 | |
We can't help but connect with others. | 0:23:02 | 0:23:05 | |
We're hotwired to be extremely social creatures. | 0:23:05 | 0:23:09 | |
And that raises a question - what would happen | 0:23:09 | 0:23:14 | |
if the brain were starved of human contact? | 0:23:14 | 0:23:17 | |
In 2009, peace activist Sarah Shourd | 0:23:24 | 0:23:28 | |
and her two companions were hiking in the mountains of northern Iraq, | 0:23:28 | 0:23:32 | |
an area that was at the time peaceful, | 0:23:32 | 0:23:35 | |
but they accidentally strayed into Iran and they were arrested. | 0:23:35 | 0:23:39 | |
They pulled us apart and threw us in separate cells and slammed the door. | 0:23:41 | 0:23:45 | |
And um... | 0:23:45 | 0:23:47 | |
That was the beginning of the next 410 days of my life in that cell. | 0:23:47 | 0:23:53 | |
In the early weeks and really months of solitary confinement, | 0:23:59 | 0:24:03 | |
you're reduced to an animal-like state. | 0:24:03 | 0:24:06 | |
I mean, you are an animal, in a cage. | 0:24:06 | 0:24:08 | |
And the majority of your hours are pacing, | 0:24:14 | 0:24:18 | |
and the animal-like state sort of eventually | 0:24:23 | 0:24:27 | |
transformed into a more plant-like state. | 0:24:27 | 0:24:30 | |
When your mind starts to slow down and your thoughts become repetitive. | 0:24:32 | 0:24:37 | |
Your brain turns on itself | 0:24:44 | 0:24:46 | |
and it becomes the source of your worst pain and your worst torture. | 0:24:46 | 0:24:53 | |
I would relive every detail of my life. | 0:25:00 | 0:25:02 | |
And eventually, you run out of memories and you've told them | 0:25:04 | 0:25:08 | |
all to yourself so many times and it doesn't take that long. | 0:25:08 | 0:25:12 | |
Extreme social deprivation causes deep psychological pain. | 0:25:12 | 0:25:17 | |
Without interaction, the brain suffers. | 0:25:17 | 0:25:21 | |
Solitary confinement is designed to eat away at | 0:25:22 | 0:25:26 | |
and really attack what essentially makes us human. | 0:25:26 | 0:25:29 | |
Sarah's brain used the scant sensory information it had | 0:25:33 | 0:25:37 | |
to construct a reality. | 0:25:37 | 0:25:40 | |
The sun would come in at a certain time of day at an angle | 0:25:41 | 0:25:44 | |
through my window and all of the little dust particles in my cell | 0:25:44 | 0:25:49 | |
were illuminated by the sun. | 0:25:49 | 0:25:51 | |
I saw all of those particles of dust as being | 0:25:53 | 0:25:56 | |
other human beings occupying the planet. | 0:25:56 | 0:25:59 | |
And they were in the stream of life, they were interacting, they | 0:25:59 | 0:26:03 | |
were bouncing off one another, they were doing something collective. | 0:26:03 | 0:26:07 | |
And I saw myself as off in a corner, you know, | 0:26:11 | 0:26:15 | |
walled off by myself, out of the stream of life. | 0:26:15 | 0:26:18 | |
In September 2010, after 410 days in solitary confinement, | 0:26:24 | 0:26:30 | |
Sarah was finally released and allowed to rejoin the world. | 0:26:30 | 0:26:33 | |
But for a long time, she suffered from extreme post-traumatic stress. | 0:26:36 | 0:26:41 | |
The philosopher Martin Heidegger said we can't talk about being, | 0:26:44 | 0:26:48 | |
we can only talk about being in the world. | 0:26:48 | 0:26:51 | |
In other words, the world around you is a part of who you are. | 0:26:51 | 0:26:56 | |
In a vacuum, you lose your sense of self. | 0:26:58 | 0:27:01 | |
It's not easy for science to study people | 0:27:05 | 0:27:08 | |
while they're experiencing solitary confinement, | 0:27:08 | 0:27:11 | |
but a simple experiment designed by neuroscientist | 0:27:11 | 0:27:14 | |
Naomi Eisenberger can give us | 0:27:14 | 0:27:16 | |
an insight into what's happening in the brain when we feel excluded. | 0:27:16 | 0:27:21 | |
It's based on a game of catch. | 0:27:24 | 0:27:27 | |
While volunteers played a computer game of catch, Eisenberger | 0:27:29 | 0:27:33 | |
and her team scanned their brains. | 0:27:33 | 0:27:35 | |
The volunteers thought the other characters were controlled by other | 0:27:37 | 0:27:41 | |
participants, but in fact, they were just part of a computer program. | 0:27:41 | 0:27:45 | |
At first, the other characters played nicely, | 0:27:47 | 0:27:50 | |
but after a while, they'd cut the volunteer out of the game. | 0:27:50 | 0:27:54 | |
And simply play between themselves. | 0:27:54 | 0:27:57 | |
She found that being left out of the game activated the pain matrix. | 0:27:59 | 0:28:05 | |
Not getting the ball might seem insignificant, | 0:28:09 | 0:28:12 | |
but to the brain, social rejection is so meaningful that it hurts. | 0:28:12 | 0:28:17 | |
But that pain, in turn, is useful. | 0:28:22 | 0:28:25 | |
It pushes us in the direction of bonding with others. | 0:28:28 | 0:28:31 | |
We all seek out alliances. | 0:28:37 | 0:28:40 | |
We join with friends, with family, | 0:28:40 | 0:28:44 | |
with colleagues. | 0:28:44 | 0:28:47 | |
It could be which team we support. | 0:28:47 | 0:28:49 | |
What style we go for. | 0:28:51 | 0:28:53 | |
What our hobbies are. | 0:28:54 | 0:28:57 | |
It gives comfort to belong to a group. | 0:28:57 | 0:29:00 | |
And that gives us a critical clue into our success as a species. | 0:29:00 | 0:29:05 | |
Survival of the fittest isn't just about individuals. | 0:29:07 | 0:29:10 | |
It's also about groups. | 0:29:10 | 0:29:13 | |
We're safer, we're more productive, we overcome challenges. | 0:29:13 | 0:29:17 | |
The drive to work in groups has helped human populations | 0:29:19 | 0:29:23 | |
thrive across the planet and build entire civilisations. | 0:29:23 | 0:29:27 | |
And yet, there's a flipside to this drive to come together. | 0:29:33 | 0:29:37 | |
Because for every ingroup, there are outsiders. | 0:29:37 | 0:29:40 | |
And the consequences of that can be very dark. | 0:29:44 | 0:29:47 | |
History is plagued with examples of one group turning on another | 0:29:52 | 0:29:56 | |
that was defenceless and posed no threat. | 0:29:56 | 0:30:00 | |
If you were to look at my family tree, | 0:30:03 | 0:30:06 | |
you would see that most of the branches end in the early 1940s. | 0:30:06 | 0:30:10 | |
This is because my family is ethnically Jewish. | 0:30:10 | 0:30:15 | |
That small social marker was enough to prompt Nazi genocide. | 0:30:15 | 0:30:19 | |
Under normal circumstances, | 0:30:23 | 0:30:25 | |
you wouldn't find it conscionable to go and murder your neighbour. | 0:30:25 | 0:30:29 | |
So what is it that allows hundreds or thousands of people to | 0:30:29 | 0:30:33 | |
suddenly do exactly that? | 0:30:33 | 0:30:36 | |
What is it about certain situations that short-circuits the normal | 0:30:36 | 0:30:41 | |
social functioning of the brain? | 0:30:41 | 0:30:43 | |
While the Nazi holocaust was on an unprecedented scale, | 0:30:47 | 0:30:52 | |
it wasn't unique. | 0:30:52 | 0:30:54 | |
Genocide continued to occur all over the world | 0:30:54 | 0:30:58 | |
and within a generation, it returned to Eastern Europe. | 0:30:58 | 0:31:02 | |
This time, it was in Yugoslavia. | 0:31:02 | 0:31:05 | |
The Bosnian war from 1992 to '95 saw atrocities on both sides. | 0:31:15 | 0:31:22 | |
In one of the worst, more than 100,000 Bosnians Muslims, | 0:31:22 | 0:31:26 | |
known as Bosniaks, | 0:31:26 | 0:31:28 | |
were slaughtered by Serbians in actions known as ethnic cleansing. | 0:31:28 | 0:31:32 | |
One of the most horrible incidents happened here at Srebrenica. | 0:31:35 | 0:31:39 | |
Over the course of just ten days, | 0:31:43 | 0:31:46 | |
8,000 people were systematically killed. | 0:31:46 | 0:31:49 | |
How does something like this happen? | 0:31:51 | 0:31:55 | |
Here in 1995, thousands of Bosniaks took refuge inside this | 0:31:55 | 0:31:59 | |
United Nations compound | 0:31:59 | 0:32:01 | |
because this village was surrounded by siege forces. | 0:32:01 | 0:32:04 | |
But then, on July 11th, | 0:32:06 | 0:32:08 | |
the UN commanders made the decision to expel all the refugees | 0:32:08 | 0:32:12 | |
and they delivered them right into the hands of their enemies, | 0:32:12 | 0:32:16 | |
who were waiting just outside this gate. | 0:32:16 | 0:32:18 | |
Women were raped and men were executed | 0:32:19 | 0:32:23 | |
and even children were killed and this was just the beginning of what | 0:32:23 | 0:32:28 | |
would be the largest genocide on European soil since the Holocaust. | 0:32:28 | 0:32:32 | |
The Dutch were there. | 0:32:42 | 0:32:44 | |
I mean, the world was there, the UN, | 0:32:44 | 0:32:47 | |
the Serbs were there as perpetrators. | 0:32:47 | 0:32:50 | |
Everything was mixed. | 0:32:50 | 0:32:52 | |
The refugees were there, the babies were crying. | 0:32:52 | 0:32:55 | |
I was there, being protected with that UN ID card that said | 0:32:56 | 0:32:59 | |
UN Language Assistant, whatever... | 0:32:59 | 0:33:02 | |
Hasan Nuhanovic's status as a UN translator made him | 0:33:04 | 0:33:08 | |
part of a protected group. | 0:33:08 | 0:33:10 | |
But his family members were marked out by their identity as Muslims. | 0:33:12 | 0:33:17 | |
At that very moment when my family was being sent out of the compound | 0:33:17 | 0:33:22 | |
to actually die, I lost my mother, my brother and my father. | 0:33:22 | 0:33:26 | |
You know, like, you are in a situation where your family | 0:33:26 | 0:33:30 | |
is being killed. | 0:33:30 | 0:33:32 | |
And I was thinking, "My God... | 0:33:32 | 0:33:35 | |
"Why?" | 0:33:35 | 0:33:38 | |
One of the most striking things | 0:33:40 | 0:33:42 | |
is that the perpetrators weren't strangers. | 0:33:42 | 0:33:45 | |
They were people with whom his family had previously shared | 0:33:45 | 0:33:48 | |
a great deal. | 0:33:48 | 0:33:50 | |
The continuation, you know, of the killings, of torture, | 0:33:51 | 0:33:56 | |
was perpetrated by our neighbours. | 0:33:56 | 0:34:01 | |
You know, the very people we had been living with for decades. | 0:34:01 | 0:34:05 | |
They were capable of killing their own school friends. | 0:34:08 | 0:34:12 | |
I remember they said they arrested a dentist who was a Bosniak, | 0:34:14 | 0:34:18 | |
the best dentist in the town. | 0:34:18 | 0:34:20 | |
They tied him up for a light pole, like this. | 0:34:22 | 0:34:25 | |
In front of the post office. He was hanging there like this. | 0:34:25 | 0:34:28 | |
And they beat him with a metal bar, they broke his spine. | 0:34:28 | 0:34:34 | |
And he was there, dying for days, while Serb children went to school. | 0:34:34 | 0:34:39 | |
Walking by his body, you know. | 0:34:39 | 0:34:43 | |
I mean, there are universal values | 0:34:45 | 0:34:48 | |
and these universal values are kind of very basic. | 0:34:48 | 0:34:53 | |
Don't kill. | 0:34:53 | 0:34:54 | |
April '92, this... Don't kill... | 0:34:56 | 0:35:01 | |
suddenly disappeared. | 0:35:01 | 0:35:03 | |
It was like - go and kill. | 0:35:03 | 0:35:05 | |
It was allowed to kill. | 0:35:05 | 0:35:07 | |
This is where Hasan's family is buried and each year, | 0:35:18 | 0:35:22 | |
there are new bodies that are found and identified | 0:35:22 | 0:35:25 | |
and they're brought here. | 0:35:25 | 0:35:26 | |
Many of these graves are fresh. | 0:35:26 | 0:35:29 | |
And across the human species, this is just one genocide of many. | 0:35:32 | 0:35:35 | |
Genocides keep happening. Rwanda, Darfur, Nanking, | 0:35:37 | 0:35:42 | |
Armenia... And my interest is in understanding why. | 0:35:42 | 0:35:46 | |
Traditionally, we ask this question through the lens of history | 0:35:49 | 0:35:53 | |
or economics or politics, and those are all important vantage points, | 0:35:53 | 0:35:57 | |
but I think for a complete picture, one more lens is needed. | 0:35:57 | 0:36:01 | |
We need to understand genocide as a neural phenomenon. | 0:36:01 | 0:36:05 | |
I've been researching this back in my laboratory | 0:36:12 | 0:36:15 | |
and here is my main question - when we interact with someone, | 0:36:15 | 0:36:20 | |
does our brain function differ according to which group they're in? | 0:36:20 | 0:36:24 | |
For every ingroup we belong to, | 0:36:27 | 0:36:28 | |
there's at least one group that we don't. | 0:36:28 | 0:36:32 | |
And that division can be based on anything. | 0:36:32 | 0:36:35 | |
Race, or gender, or wealth, or religion. | 0:36:37 | 0:36:41 | |
We put 130 participants in the scanner. | 0:36:47 | 0:36:50 | |
And here's what they saw - six hands on the screen | 0:36:53 | 0:36:56 | |
and the computer randomly picks one of these | 0:36:56 | 0:36:58 | |
and then that hand gets stabbed by a syringe needle. | 0:36:58 | 0:37:01 | |
Now, that activates the pain matrix, which is what comes online | 0:37:06 | 0:37:09 | |
when you're in pain or you seem someone else in pain. | 0:37:09 | 0:37:12 | |
Now, here's the trick. | 0:37:16 | 0:37:17 | |
We now added a label to each hand - | 0:37:17 | 0:37:20 | |
Jewish, Christian, Muslim, Hindu, Atheist, Scientologist. | 0:37:20 | 0:37:25 | |
And the question is - would they care as much | 0:37:25 | 0:37:28 | |
when they see a member of their outgroup getting stabbed? | 0:37:28 | 0:37:31 | |
So, here's what we found. | 0:37:40 | 0:37:42 | |
Here's a subject and when he watched a member of his ingroup getting | 0:37:42 | 0:37:47 | |
stabbed, there was a large neural response in this area of his brain. | 0:37:47 | 0:37:51 | |
But when he watched a member of one of his outgroups get stabbed, | 0:37:51 | 0:37:55 | |
there was essentially a flat line. | 0:37:55 | 0:38:00 | |
We scanned a range of volunteers | 0:38:00 | 0:38:02 | |
and there are individual differences, but the trend is clear. | 0:38:02 | 0:38:06 | |
A single-word label is enough | 0:38:06 | 0:38:09 | |
to change your brain's basic preconscious response | 0:38:09 | 0:38:12 | |
to another person in pain. | 0:38:12 | 0:38:14 | |
In other words, how much you care about them. | 0:38:14 | 0:38:17 | |
Now, you might have opinions about religion | 0:38:17 | 0:38:20 | |
and its historical divisiveness, | 0:38:20 | 0:38:22 | |
but even atheists here care more about other atheists' | 0:38:22 | 0:38:27 | |
hands getting stabbed than they do about other people. | 0:38:27 | 0:38:30 | |
So it's not really about religion. It's about which team you're on. | 0:38:30 | 0:38:34 | |
This is just the first step in understanding how we get to this. | 0:38:40 | 0:38:44 | |
To understand how groups of people can commit atrocities, | 0:38:51 | 0:38:56 | |
it can help to look at the behaviour of individuals, like psychopaths. | 0:38:56 | 0:39:02 | |
Some of the most callous, | 0:39:02 | 0:39:03 | |
inhumane crimes ever recorded have been committed by psychopaths. | 0:39:03 | 0:39:09 | |
But what's different about their brains that allows them | 0:39:10 | 0:39:15 | |
to act that way? | 0:39:15 | 0:39:17 | |
There are networks in the medial prefrontal cortex that | 0:39:19 | 0:39:23 | |
underlie social interaction. | 0:39:23 | 0:39:26 | |
When we interact with other people, this area becomes active. | 0:39:26 | 0:39:30 | |
But in the brain of someone with extreme psychopathy, this area | 0:39:32 | 0:39:36 | |
has a lot less activity. | 0:39:36 | 0:39:39 | |
A psychopath doesn't care about you. | 0:39:40 | 0:39:43 | |
He might be able to run a simulation | 0:39:43 | 0:39:45 | |
of what you're going to do or how you might react, | 0:39:45 | 0:39:48 | |
but when it comes to an emotional understanding | 0:39:48 | 0:39:52 | |
of what it's like to be you, he doesn't get that. | 0:39:52 | 0:39:56 | |
To him, you're just an obstacle to be worked around or manipulated, | 0:39:56 | 0:40:00 | |
rather than a fellow human being. | 0:40:00 | 0:40:03 | |
So what accounts for genocide? Is it driven by armies of psychopaths? | 0:40:03 | 0:40:09 | |
Well, that can't be it | 0:40:09 | 0:40:10 | |
because psychopaths only make up a small fraction of the population, | 0:40:10 | 0:40:14 | |
but genocide typically engages a wider community. | 0:40:14 | 0:40:18 | |
So here's the question - how do you get ordinary citizens on board? | 0:40:18 | 0:40:23 | |
At the University of Leiden in Holland, Dr Lasana Harris | 0:40:29 | 0:40:33 | |
has been conducting an experiment to understand a piece of this puzzle. | 0:40:33 | 0:40:38 | |
So now we're going to start the experiment. | 0:40:49 | 0:40:52 | |
What you're going to see is a bunch of pictures of different people. | 0:40:52 | 0:40:56 | |
Your job is just to react naturally to those pictures. | 0:40:56 | 0:40:59 | |
Lasana is looking at activity | 0:41:01 | 0:41:03 | |
in the brain areas involved in human social interaction, | 0:41:03 | 0:41:07 | |
in particular the medial prefrontal cortex. | 0:41:07 | 0:41:11 | |
This comes online when we think about other people. | 0:41:11 | 0:41:14 | |
It's less active when dealing with something inanimate, like a cup. | 0:41:14 | 0:41:18 | |
What Lasana found is that this region has a similarly low | 0:41:20 | 0:41:24 | |
response when we deal with certain types of other people. | 0:41:24 | 0:41:28 | |
What he sees now are stereotypical | 0:41:32 | 0:41:34 | |
images of people from different social groups. | 0:41:34 | 0:41:38 | |
What we see here is that this network of brain regions, | 0:41:41 | 0:41:44 | |
including medial prefrontal cortex, is less active | 0:41:44 | 0:41:48 | |
when our participant looks at the homeless people. | 0:41:48 | 0:41:52 | |
So what this pattern of activity | 0:41:52 | 0:41:54 | |
suggests is a type of mental avoidance. | 0:41:54 | 0:41:56 | |
They are not thinking about the mind of the homeless person | 0:41:56 | 0:42:00 | |
in the same way they thought about the mind | 0:42:00 | 0:42:02 | |
of the college student that they saw or the businesspeople. | 0:42:02 | 0:42:05 | |
So if, for instance, | 0:42:08 | 0:42:09 | |
you imagine that interacting with a homeless person will be unpleasant, | 0:42:09 | 0:42:13 | |
it will make you feel bad. | 0:42:13 | 0:42:15 | |
You may feel some demand to donate some of your money | 0:42:15 | 0:42:18 | |
and all of these unpleasant pressures that come along with it. | 0:42:18 | 0:42:22 | |
By shutting off the system, you never experience those feelings. | 0:42:22 | 0:42:26 | |
To a brain that responds this way, homeless people are dehumanised. | 0:42:29 | 0:42:34 | |
They are viewed more like objects and that can enable us to not care. | 0:42:34 | 0:42:39 | |
Of course, if you don't properly diagnose this person | 0:42:44 | 0:42:47 | |
as a human being - which is happening here - | 0:42:47 | 0:42:49 | |
then the different moral rules we have | 0:42:49 | 0:42:52 | |
that are reserved for human people may not apply. | 0:42:52 | 0:42:55 | |
So, under the right circumstances, | 0:42:59 | 0:43:01 | |
our brain activity can look more like a psychopath's. | 0:43:01 | 0:43:05 | |
But to understand how we can get to genocide, | 0:43:06 | 0:43:10 | |
we need to understand one more thing about group behaviour. | 0:43:10 | 0:43:14 | |
Genocide is only possible | 0:43:14 | 0:43:17 | |
when dehumanisation happens on a massive scale - | 0:43:17 | 0:43:20 | |
not just a few individuals, | 0:43:20 | 0:43:22 | |
but whole sections of the population. | 0:43:22 | 0:43:24 | |
We are talking about a group of people committing atrocities. | 0:43:26 | 0:43:30 | |
And if all the members of that perpetrating group are complicit, | 0:43:33 | 0:43:37 | |
it's as if they have all somehow experienced | 0:43:37 | 0:43:40 | |
the same reduction in brain activity | 0:43:40 | 0:43:42 | |
when they think about their outgroup. | 0:43:42 | 0:43:44 | |
This can be understood and studied like a disease outbreak - | 0:43:47 | 0:43:51 | |
a kind of group contagion, one that is most often spread deliberately. | 0:43:51 | 0:43:56 | |
The perfect tool for this job is propaganda. | 0:44:01 | 0:44:04 | |
It plugs right into neural networks | 0:44:04 | 0:44:06 | |
and it dials down the degree to which we care about other people. | 0:44:06 | 0:44:11 | |
Just like all sites of genocide, | 0:44:11 | 0:44:14 | |
that's what happened in the former Yugoslavia. | 0:44:14 | 0:44:16 | |
The people who went on to torture and kill their neighbours | 0:44:18 | 0:44:21 | |
were bombarded with propaganda. | 0:44:21 | 0:44:24 | |
State-controlled broadcasters demonised the Bosnian Muslims | 0:44:24 | 0:44:29 | |
with distorted news stories. | 0:44:29 | 0:44:31 | |
We knew from the beginning | 0:44:31 | 0:44:33 | |
that somebody is helping the Muslims and arming them. | 0:44:33 | 0:44:36 | |
They went so far as to claim that the Muslims | 0:44:36 | 0:44:39 | |
were feeding Serbian children to the lions at the zoo. | 0:44:39 | 0:44:42 | |
Across place and time, the language of propaganda changes very little. | 0:44:47 | 0:44:51 | |
It always plays the familiar tune of dehumanisation. | 0:44:51 | 0:44:55 | |
"Make your enemy less than human. | 0:44:55 | 0:44:58 | |
"Make him like an animal." | 0:44:58 | 0:45:00 | |
Propaganda is a weapon. | 0:45:03 | 0:45:04 | |
And, over the course of human history, | 0:45:08 | 0:45:10 | |
it's become an art and a science | 0:45:10 | 0:45:14 | |
and it's become ever more dangerous. | 0:45:14 | 0:45:17 | |
In our connected age, | 0:45:24 | 0:45:26 | |
any extremist group can reach millions of people with a keystroke. | 0:45:26 | 0:45:31 | |
The internet is the perfect carrier for propaganda messages | 0:45:31 | 0:45:35 | |
to reach the people most likely to act upon them - | 0:45:35 | 0:45:38 | |
young men. | 0:45:38 | 0:45:40 | |
The political agendas around us | 0:45:44 | 0:45:47 | |
actually manipulate the brain activity inside of us. | 0:45:47 | 0:45:51 | |
So is there any way to stop what has happened in the past | 0:45:52 | 0:45:55 | |
from continuing into the future? | 0:45:55 | 0:45:58 | |
One possible solution lies in an 1960s experiment | 0:46:01 | 0:46:05 | |
that was conducted not in a science lab, | 0:46:05 | 0:46:08 | |
but a school. | 0:46:08 | 0:46:10 | |
It was 1968, | 0:46:13 | 0:46:15 | |
the day after the assassination of Martin Luther King. | 0:46:15 | 0:46:19 | |
Is there anyone in the United States | 0:46:24 | 0:46:26 | |
that we do not treat as our brothers? | 0:46:26 | 0:46:28 | |
-Yeah. -Who? -Black people. | 0:46:28 | 0:46:30 | |
The black people. Who else? | 0:46:30 | 0:46:32 | |
Jane Elliott was a teacher in a small town in Iowa | 0:46:32 | 0:46:35 | |
and she wanted to show her class what prejudice really felt like. | 0:46:35 | 0:46:40 | |
How are black people treated? | 0:46:40 | 0:46:41 | |
They don't get anything in this world. | 0:46:41 | 0:46:43 | |
-Why is that? -Because they are a different colour. | 0:46:43 | 0:46:47 | |
These two men were in that class. | 0:46:50 | 0:46:53 | |
This was Rex, back then... | 0:46:53 | 0:46:55 | |
..and this was Ray. | 0:46:58 | 0:46:59 | |
How many of you in here have blue eyes? | 0:47:01 | 0:47:04 | |
OK. How many in here have brown eyes? | 0:47:05 | 0:47:08 | |
Jane says, "We are going to have this exercise," | 0:47:08 | 0:47:11 | |
and she right away launches into the propaganda | 0:47:11 | 0:47:14 | |
of "blue eyes are better than brown eyes". | 0:47:14 | 0:47:16 | |
Blue-eyed people are better than brown-eyed people. | 0:47:16 | 0:47:20 | |
Ray and Rex both had blue eyes. | 0:47:22 | 0:47:26 | |
You brown-eyed people are not to play | 0:47:27 | 0:47:30 | |
with the blue-eyed people on the playground | 0:47:30 | 0:47:32 | |
because you are not as good as blue-eyed people. | 0:47:32 | 0:47:35 | |
The brown-eyeds were denied privileges given to the blue eyes, | 0:47:35 | 0:47:39 | |
and they had to wear special collars. | 0:47:39 | 0:47:41 | |
You begin to notice today | 0:47:41 | 0:47:43 | |
that we spend a great deal of time waiting for brown-eyed people. | 0:47:43 | 0:47:46 | |
Do you remember what your own behaviour was like | 0:47:54 | 0:47:58 | |
when you were on top? | 0:47:58 | 0:48:00 | |
-I was...tremendously evil to my friends. -How so? | 0:48:00 | 0:48:05 | |
I was going out of my way to pick on my brown-eyed friends | 0:48:05 | 0:48:11 | |
for the sake of my own promotion. | 0:48:11 | 0:48:14 | |
What did you do? | 0:48:14 | 0:48:16 | |
I recall...telling Mrs Elliott - Jane - that she should keep | 0:48:18 | 0:48:24 | |
the yardstick at hand in case those brown-eyeds got out of control. | 0:48:24 | 0:48:27 | |
I don't see the yardstick, do you? | 0:48:27 | 0:48:29 | |
It's over there. | 0:48:29 | 0:48:32 | |
Mrs Elliott, you'd better keep that on your desk, | 0:48:32 | 0:48:34 | |
so as the brown-eyed people don't get out of hand. | 0:48:34 | 0:48:37 | |
At that time, my hair was quite blonde and my eyes were quite blue, | 0:48:38 | 0:48:42 | |
and I was the perfect little Nazi. | 0:48:42 | 0:48:44 | |
I looked for ways to be mean to my friends | 0:48:45 | 0:48:50 | |
who, minutes or hours earlier, had been very close to me. | 0:48:50 | 0:48:56 | |
But next day, there was a reversal of fortune. | 0:48:58 | 0:49:02 | |
Yesterday, I told you | 0:49:04 | 0:49:05 | |
that brown-eyed people aren't as good as blue-eyed people. | 0:49:05 | 0:49:08 | |
That wasn't true. I lied to you, yesterday. | 0:49:08 | 0:49:11 | |
Oh, boy, here we go again. | 0:49:13 | 0:49:15 | |
The truth is... | 0:49:15 | 0:49:16 | |
..that brown-eyed people are better than blue-eyed people. | 0:49:17 | 0:49:20 | |
The person you trust stands before you | 0:49:20 | 0:49:22 | |
and says, "I was wrong. Now, here's the truth." | 0:49:22 | 0:49:27 | |
Takes your world and shatters it, | 0:49:28 | 0:49:32 | |
like you have never had your world shattered before. | 0:49:32 | 0:49:35 | |
You blue-eyed people are not to play with the brown-eyed people. | 0:49:35 | 0:49:39 | |
Blue-eyed people, go to the back, | 0:49:39 | 0:49:41 | |
the brown-eyed people, come to the front. | 0:49:41 | 0:49:43 | |
It's not fair! | 0:49:46 | 0:49:47 | |
Tell me a little more about what it was like | 0:49:50 | 0:49:52 | |
when you were in the down group. | 0:49:52 | 0:49:54 | |
You have such a sense of loss of personality and self, | 0:49:54 | 0:49:59 | |
that makes it almost impossible to function | 0:49:59 | 0:50:01 | |
with what is going on in the room. | 0:50:01 | 0:50:03 | |
Should the colour of some other person's eyes | 0:50:03 | 0:50:06 | |
have anything to do you with how you treat them? | 0:50:06 | 0:50:08 | |
-CLASS: No. -All right, then - | 0:50:08 | 0:50:10 | |
should the colour of their skin? | 0:50:10 | 0:50:11 | |
CLASS: No. | 0:50:11 | 0:50:13 | |
Should you judge people by the colour of their skin? | 0:50:13 | 0:50:17 | |
CLASS: No. | 0:50:17 | 0:50:18 | |
If I were just going to riff, guess at it, | 0:50:19 | 0:50:21 | |
it's that one of the most important things we learn as humans | 0:50:21 | 0:50:24 | |
is perspective-taking | 0:50:24 | 0:50:25 | |
and kids don't often get really meaningful exercise in that, | 0:50:25 | 0:50:30 | |
and when you're forced into understanding | 0:50:30 | 0:50:32 | |
what it is like to stand in someone else's shoes, | 0:50:32 | 0:50:34 | |
that opens up a lot of cognitive pathways for you. | 0:50:34 | 0:50:37 | |
I remember saying something to my dad about a comment he made, | 0:50:37 | 0:50:41 | |
saying "No, that's not appropriate." | 0:50:41 | 0:50:45 | |
And it did change within the family. | 0:50:45 | 0:50:48 | |
But you talk about a little kid making that statement, it's huge. | 0:50:48 | 0:50:53 | |
But it reaffirmed that you can do that - | 0:50:53 | 0:50:56 | |
you could begin to change. | 0:50:56 | 0:50:58 | |
The brilliance of the blue eyes/brown eyes experiment | 0:51:06 | 0:51:09 | |
is that the teacher, Jane Elliott, switched which group was on top | 0:51:09 | 0:51:13 | |
and that allowed the students to extract the larger lesson, | 0:51:13 | 0:51:17 | |
which is that systems of rules can be arbitrary. | 0:51:17 | 0:51:20 | |
They learned that the truths of the world are not fixed | 0:51:20 | 0:51:25 | |
and they are not even necessarily truths. | 0:51:25 | 0:51:27 | |
And this is what empowered the children as they grew | 0:51:27 | 0:51:30 | |
to see through the smoke and mirrors of other people's political agendas | 0:51:30 | 0:51:34 | |
and to form their own opinions - | 0:51:34 | 0:51:36 | |
surely a skill we should be teaching to all of our children. | 0:51:36 | 0:51:40 | |
Should the colour of some other person's eyes | 0:51:41 | 0:51:43 | |
have anything to do with how you treat them? | 0:51:43 | 0:51:45 | |
CLASS: No. | 0:51:45 | 0:51:46 | |
GUNFIRE | 0:51:47 | 0:51:50 | |
When people are armed with an understanding | 0:51:50 | 0:51:52 | |
of how propaganda works, | 0:51:52 | 0:51:54 | |
the power of propaganda is reduced. | 0:51:54 | 0:51:58 | |
As we come to understand the deep importance of cooperation, | 0:51:59 | 0:52:03 | |
we stand a chance of not only reducing dehumanisation, | 0:52:03 | 0:52:08 | |
but achieving our potential as a species. | 0:52:08 | 0:52:11 | |
Genocide doesn't have to be the norm. | 0:52:14 | 0:52:17 | |
Instead, our fundamentally social nature | 0:52:25 | 0:52:28 | |
can hold the key to our success as a species. | 0:52:28 | 0:52:32 | |
Our future, our survival, | 0:52:34 | 0:52:37 | |
is intimately, permanently bound up with that of the people around us. | 0:52:37 | 0:52:42 | |
Our social drive is at the root | 0:52:45 | 0:52:47 | |
of extraordinary acts of bravery and generosity. | 0:52:47 | 0:52:53 | |
Who you are has everything to do with who we are. | 0:52:55 | 0:52:59 | |
Our brains are so fundamentally wired to interact | 0:52:59 | 0:53:02 | |
that it is not always clear where each of us begins and ends. | 0:53:02 | 0:53:06 | |
Our species is more than just seven billion individuals, | 0:53:11 | 0:53:16 | |
spread out across the planet. | 0:53:16 | 0:53:17 | |
We are something more like a single, vast super-organism. | 0:53:19 | 0:53:23 | |
Because what your friends know and love as you | 0:53:25 | 0:53:29 | |
is really a neural network, | 0:53:29 | 0:53:31 | |
embedded in a far larger web of other neural networks. | 0:53:31 | 0:53:36 | |
In this age of digital connection, | 0:53:40 | 0:53:42 | |
we desperately need to understand the links between humans. | 0:53:42 | 0:53:46 | |
If we want our civilisations to have a bright future, | 0:53:46 | 0:53:50 | |
we'll need to understand how human brains interact, | 0:53:50 | 0:53:53 | |
the dangers and the opportunities, | 0:53:53 | 0:53:55 | |
because there is no avoiding the truth | 0:53:55 | 0:53:57 | |
that is etched into our neural circuitry. | 0:53:57 | 0:54:00 | |
We need each other. | 0:54:00 | 0:54:02 | |
Next time on The Brain, I am going to look into the future. | 0:54:08 | 0:54:11 | |
What if the brain could do more? Handle more? | 0:54:13 | 0:54:18 | |
What if there were other ways for it to operate? | 0:54:18 | 0:54:21 | |
We will look at how we can use our brains | 0:54:23 | 0:54:26 | |
to control new kinds of bodies. | 0:54:26 | 0:54:28 | |
How our sensory experience can be expanded to new horizons. | 0:54:33 | 0:54:38 | |
We will look at how we might one day separate our minds | 0:54:40 | 0:54:43 | |
from our physical selves. | 0:54:43 | 0:54:44 | |
What if the study of the brain could address our mortality? | 0:54:46 | 0:54:49 | |
What if, in the future, we didn't have to die? | 0:54:49 | 0:54:53 | |
So, what is next for our brains? | 0:54:55 | 0:54:57 | |
What do the next thousand years have in store for us? | 0:54:57 | 0:55:01 | |
And, in the far future, what is the human race going to look like? | 0:55:01 | 0:55:05 | |
What will we be capable of? | 0:55:05 | 0:55:07 | |
We are heading for a fundamental change in the relationship | 0:55:08 | 0:55:12 | |
between the body, the brain and the outside world. | 0:55:12 | 0:55:16 | |
We are marrying our biology with our technology | 0:55:17 | 0:55:20 | |
and that is poised to transform who we will be. | 0:55:20 | 0:55:25 |