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This programme contains some strong language and some scenes which some viewers may find upsetting. | 0:00:02 | 0:00:07 | |
-We don't want -BLEEP. | 0:00:07 | 0:00:09 | |
Is Britain a racist country? | 0:00:10 | 0:00:13 | |
Many people were horrified by these Chelsea fans. | 0:00:16 | 0:00:19 | |
But are they just saying what lots of people are thinking? | 0:00:19 | 0:00:22 | |
-Oh, all -BLEEP -foreign -BLEEP. | 0:00:22 | 0:00:27 | |
My name is Mona Chalabi, | 0:00:29 | 0:00:31 | |
and I want to find out how racist Britain really is. | 0:00:31 | 0:00:34 | |
-You ain't -BLEEP -British! -BLEEP -off! | 0:00:34 | 0:00:36 | |
You ain't British, you're black! | 0:00:36 | 0:00:38 | |
You're black, you ain't British. | 0:00:38 | 0:00:40 | |
You're black. | 0:00:40 | 0:00:41 | |
Go back to where you come from. | 0:00:41 | 0:00:43 | |
-Go back to -BLEEP -Nic...Nicaragua, | 0:00:43 | 0:00:47 | |
or wherever you come from. | 0:00:47 | 0:00:49 | |
So, Britain is being put to the test. | 0:00:49 | 0:00:52 | |
Your data suggests you have a strong preference for white individuals... | 0:00:52 | 0:00:55 | |
-He looked really uncomfortable. -Yeah! | 0:00:55 | 0:00:58 | |
People are going undercover to find out how widespread racism is. | 0:00:58 | 0:01:02 | |
I'll be putting myself to the test to find out about my own prejudices... | 0:01:06 | 0:01:10 | |
-As you can see... -Yeah! I did well. -Yes. | 0:01:10 | 0:01:13 | |
..and I'll confront people | 0:01:13 | 0:01:14 | |
who feel I'm not really as British as they are, | 0:01:14 | 0:01:17 | |
even though I was born here. | 0:01:17 | 0:01:18 | |
But I am English. | 0:01:18 | 0:01:19 | |
All people have a native homeland. | 0:01:19 | 0:01:22 | |
-My native homeland is here. -No, it's not. -I was born here. | 0:01:22 | 0:01:24 | |
I'm a data journalist. | 0:01:30 | 0:01:32 | |
I normally rely on numbers to get to the truth behind complicated stories. | 0:01:32 | 0:01:36 | |
But when it comes to racism, | 0:01:36 | 0:01:38 | |
I don't think numbers alone are enough. | 0:01:38 | 0:01:41 | |
I need to find out what's happening first-hand for myself. | 0:01:41 | 0:01:45 | |
ALL SHOUT | 0:01:45 | 0:01:47 | |
When you say the word racist, | 0:01:49 | 0:01:51 | |
this is what lots of people might imagine... | 0:01:51 | 0:01:53 | |
People have accused the English Defence League of racism | 0:01:57 | 0:01:59 | |
since they were created back in 2009. | 0:01:59 | 0:02:02 | |
Is that fair? | 0:02:03 | 0:02:04 | |
Do THEY think they're racists? | 0:02:04 | 0:02:07 | |
I'm joining the EDL today for a demonstration - | 0:02:09 | 0:02:11 | |
which is a sentence that I never thought I'd say - | 0:02:11 | 0:02:13 | |
and I'm waiting to meet some of the people in the pub there | 0:02:13 | 0:02:16 | |
before we kind of head off. | 0:02:16 | 0:02:18 | |
THEY SHOUT AND SING | 0:02:18 | 0:02:20 | |
We're coming! We're coming! | 0:02:24 | 0:02:28 | |
How come your face is covered? | 0:02:34 | 0:02:36 | |
Because that stigma that's attached. | 0:02:36 | 0:02:39 | |
And what's the stigma? | 0:02:39 | 0:02:41 | |
We get called racist, we get called far right... | 0:02:41 | 0:02:44 | |
Do you think that's fair, or...? | 0:02:44 | 0:02:46 | |
No, not at all. I'm half Greek Cypriot, | 0:02:46 | 0:02:49 | |
so I'm not racist - | 0:02:49 | 0:02:51 | |
my family are immigrants, so...not a chance. | 0:02:51 | 0:02:54 | |
But a lot of people won't accept that I'm just here | 0:02:54 | 0:02:57 | |
to fight radical Islam. | 0:02:57 | 0:02:59 | |
The trouble is, with this country, you can't tell the truth. | 0:02:59 | 0:03:01 | |
I have to cover my face because... otherwise I could lose my job. | 0:03:01 | 0:03:06 | |
In a survey, almost 70% of Brits | 0:03:06 | 0:03:09 | |
said they have no racial prejudices at all | 0:03:09 | 0:03:12 | |
and everyone I spoke to here has said they're not racist. | 0:03:12 | 0:03:15 | |
Whoa, whoa, don't film that, bruv. | 0:03:17 | 0:03:19 | |
Lots of people are keen to talk, but some really don't want us here. | 0:03:19 | 0:03:24 | |
What are you filming for? Don't film it! | 0:03:24 | 0:03:25 | |
I said don't film it, you little prick! | 0:03:25 | 0:03:27 | |
You're a BBC left-wing mug... | 0:03:27 | 0:03:29 | |
ALL CHANT | 0:03:34 | 0:03:35 | |
About 500 people from across Britain have come to today's demonstration. | 0:03:35 | 0:03:40 | |
-THEY CHANT: -Whose streets? Our streets. | 0:03:40 | 0:03:42 | |
Whose streets? Our streets. | 0:03:42 | 0:03:43 | |
Free the EDL. Free the EDL. | 0:03:43 | 0:03:46 | |
They say they're not racist, | 0:03:48 | 0:03:50 | |
but as someone who isn't white and who comes from a Muslim family, | 0:03:50 | 0:03:54 | |
I feel really uncomfortable here. | 0:03:54 | 0:03:56 | |
THEY SING | 0:03:56 | 0:03:58 | |
-Scum, scum! -Scum! | 0:04:00 | 0:04:04 | |
Stick your Islam up your arse! | 0:04:04 | 0:04:07 | |
Stick your Islam up your arse! | 0:04:07 | 0:04:10 | |
-MAN: -I'd like to thank you all for turning up here, to West Midlands, | 0:04:27 | 0:04:30 | |
the heart of England. | 0:04:30 | 0:04:32 | |
This is our England, will stay our England, | 0:04:32 | 0:04:35 | |
and while ever Midlands, Yorkshire, North East exists, | 0:04:35 | 0:04:38 | |
and all the rest down south, | 0:04:38 | 0:04:40 | |
England will be loud, proud and always defended | 0:04:40 | 0:04:44 | |
-by the English Defence League... -CROWD CHEERS | 0:04:44 | 0:04:46 | |
..to fight this problem, this virus, and this disease of Islam. | 0:04:46 | 0:04:51 | |
All of them can kiss my little white arse. | 0:04:51 | 0:04:54 | |
THEY CHEER | 0:04:54 | 0:04:55 | |
Just after the speeches begin, | 0:04:55 | 0:04:57 | |
one of the crowd singles me out and starts hassling me. | 0:04:57 | 0:05:00 | |
-..details since 2009. -..do you know what I mean? | 0:05:00 | 0:05:03 | |
That is six years of hiding the facts of what is going on. | 0:05:03 | 0:05:07 | |
Things quickly get out of hand. | 0:05:07 | 0:05:10 | |
-No, here I come. -Why don't you go and watch the march? | 0:05:10 | 0:05:12 | |
No, here I come. Because... | 0:05:12 | 0:05:14 | |
INDISTINCT | 0:05:14 | 0:05:16 | |
Do you know what? Tom... | 0:05:17 | 0:05:18 | |
Hey, hey... | 0:05:18 | 0:05:20 | |
Up until now, it was just what people were saying | 0:05:22 | 0:05:25 | |
that made me feel uncomfortable, | 0:05:25 | 0:05:26 | |
but that now it's getting physical, I feel like it's time to leave. | 0:05:26 | 0:05:30 | |
Oh, it's, like, as soon as you walk out of there | 0:05:32 | 0:05:34 | |
you feel a little bit of tension leave your chest. | 0:05:34 | 0:05:37 | |
I feel animosity - they can say what they like | 0:05:37 | 0:05:40 | |
about, you know, being open-minded and stuff - | 0:05:40 | 0:05:43 | |
you can feel animosity, you can feel, | 0:05:43 | 0:05:44 | |
when the camera is off looking at something else, | 0:05:44 | 0:05:47 | |
someone eyeing you up and down. | 0:05:47 | 0:05:49 | |
I felt completely uncomfortable from start to finish. | 0:05:49 | 0:05:52 | |
Some of the people at that EDL event did seem racist to me, | 0:05:54 | 0:05:58 | |
but they don't see themselves that way, | 0:05:58 | 0:05:59 | |
so they wouldn't show up on any survey about prejudice - | 0:05:59 | 0:06:02 | |
and that's just one of the problems | 0:06:02 | 0:06:04 | |
when it comes to figures on racism in Britain. | 0:06:04 | 0:06:07 | |
For example, the number of us who say we aren't prejudiced | 0:06:07 | 0:06:10 | |
has stayed pretty much the same over the past decade, | 0:06:10 | 0:06:13 | |
but reports of hate attacks motivated by race, religion or both | 0:06:13 | 0:06:18 | |
have risen dramatically against some communities. | 0:06:18 | 0:06:21 | |
-Do you play music? -..you in the fucking country, you black bastard? | 0:06:21 | 0:06:24 | |
Whatever. Yeah, man. | 0:06:24 | 0:06:25 | |
That's bang out. | 0:06:27 | 0:06:28 | |
Sorry... What? | 0:06:28 | 0:06:30 | |
So, it looks like the numbers aren't giving us a proper picture | 0:06:30 | 0:06:33 | |
of what's happening on the streets. | 0:06:33 | 0:06:35 | |
Is aggressive racism common in Britain? | 0:06:35 | 0:06:38 | |
Three people are going undercover to find out. | 0:06:47 | 0:06:50 | |
The common assumption of Muslims at the moment | 0:06:51 | 0:06:53 | |
is that they're all terrorists - | 0:06:53 | 0:06:55 | |
that all the men are terrorists | 0:06:55 | 0:06:57 | |
and that all the wives are at home, feeding the terrorists. | 0:06:57 | 0:07:00 | |
I think that Britain as a nation | 0:07:02 | 0:07:06 | |
is conservative about its racial prejudice, | 0:07:06 | 0:07:11 | |
in the sense it's not going to tell you to your face | 0:07:11 | 0:07:14 | |
that they're racist. | 0:07:14 | 0:07:15 | |
As part of my faith, I wear a kippa, or yarmulke, | 0:07:15 | 0:07:18 | |
which is a head covering | 0:07:18 | 0:07:20 | |
acknowledging that there is a greater presence out there, | 0:07:20 | 0:07:22 | |
respect for God, | 0:07:22 | 0:07:24 | |
and it obviously means that I am more identifiably Jewish. | 0:07:24 | 0:07:28 | |
I might occasionally get a stare or someone holding my eye-line | 0:07:28 | 0:07:32 | |
a bit longer when I'm in the street than I'm comfortable with. | 0:07:32 | 0:07:34 | |
Richard, Hanna and Deji will film for a day | 0:07:40 | 0:07:43 | |
with hidden cameras as they walk around minding their own business. | 0:07:43 | 0:07:47 | |
They're going to places where there have been some racial tensions, | 0:07:49 | 0:07:52 | |
but if the police figures are right, then it's really unlikely | 0:07:52 | 0:07:55 | |
that anything will happen to any one of them in a single day, | 0:07:55 | 0:07:59 | |
because while there were 39,000 hate crimes | 0:07:59 | 0:08:02 | |
motivated by race or religion recorded last year, | 0:08:02 | 0:08:04 | |
that was spread across a population of 64 million people. | 0:08:04 | 0:08:08 | |
This is Dudley. | 0:08:15 | 0:08:17 | |
About 1 in 25 people that live here are Muslim - | 0:08:17 | 0:08:20 | |
just over the national average. | 0:08:20 | 0:08:22 | |
Plans for a new mosque have inflamed tensions, | 0:08:29 | 0:08:31 | |
and there have been reports of problems | 0:08:31 | 0:08:33 | |
between the white and Muslim people in this community. | 0:08:33 | 0:08:36 | |
This is where Hanna will be spending a day. | 0:08:39 | 0:08:42 | |
I'm feeling nervous, I'm not sure what to expect. | 0:08:42 | 0:08:46 | |
THEY CHATTER | 0:08:54 | 0:08:56 | |
Hi. | 0:09:00 | 0:09:01 | |
Um, is there anywhere where I could sit down and eat around here? | 0:09:01 | 0:09:04 | |
Er, you've got the McDonalds at the top of the road... | 0:09:04 | 0:09:07 | |
-OK. -..and then turn right to the lights - | 0:09:07 | 0:09:09 | |
-just over, and you'll see it. -OK, that's fine. | 0:09:09 | 0:09:11 | |
That's the nearest thing, I think. | 0:09:11 | 0:09:13 | |
-There you go, love. Sorry about your wait. -Thank you. | 0:09:13 | 0:09:16 | |
-Can I have a barbecue dip, please? -Yeah. -And ketchup. | 0:09:16 | 0:09:19 | |
-WOMAN: -Can I be rude and come and sit here with you? -Yeah, that's fine. | 0:09:20 | 0:09:24 | |
-Thank you. -That's all right. | 0:09:24 | 0:09:26 | |
-I'll be leaving soon, anyway, so it's fine. -Oh, don't worry. | 0:09:26 | 0:09:30 | |
THEY CHATTER | 0:09:36 | 0:09:38 | |
How was the morning? | 0:09:51 | 0:09:52 | |
Well, this morning, I was quite surprised. | 0:09:52 | 0:09:55 | |
I was, um... | 0:09:55 | 0:09:57 | |
..expecting some sort of reaction, or a lot of stares. | 0:09:58 | 0:10:02 | |
I did get quite a few stares | 0:10:02 | 0:10:04 | |
compared to, you know, London, for example, | 0:10:04 | 0:10:07 | |
where I wouldn't get any stares, | 0:10:07 | 0:10:08 | |
so people did look at me and things like that, | 0:10:08 | 0:10:10 | |
but no-one said anything. | 0:10:10 | 0:10:12 | |
But according to community groups, | 0:10:14 | 0:10:16 | |
it is women wearing full face veils | 0:10:16 | 0:10:17 | |
that are targeted most aggressively in attacks. | 0:10:17 | 0:10:20 | |
So, Hanna will spend the rest of the day wearing the niqab | 0:10:22 | 0:10:25 | |
to see if it changes how she is treated. | 0:10:25 | 0:10:27 | |
Within 10 or 15 minutes of walking around in the niqab, | 0:10:43 | 0:10:47 | |
a car drove past with two guys in it, | 0:10:47 | 0:10:50 | |
and one of them shouted something at me from the window. | 0:10:50 | 0:10:53 | |
HORN HONKS | 0:10:53 | 0:10:54 | |
It was very intimidating, and it was quite scary, | 0:10:59 | 0:11:01 | |
because I was walking by myself and I'm not familiar with the area. | 0:11:01 | 0:11:07 | |
I have no idea who they are and they don't know who I am. | 0:11:07 | 0:11:10 | |
An anti-hate crime group found that 60% of attacks against Muslims | 0:11:11 | 0:11:15 | |
are perpetrated against women. | 0:11:15 | 0:11:16 | |
10 to 15 minutes after that incident, | 0:11:18 | 0:11:20 | |
another car drove by with one guy in it. | 0:11:20 | 0:11:22 | |
It was just quite scary that someone could be so fearless, | 0:11:32 | 0:11:35 | |
as if nothing stops them from scaring you. | 0:11:35 | 0:11:40 | |
I felt quite powerless and intimidated. | 0:11:41 | 0:11:43 | |
It makes me feel quite sad. | 0:11:46 | 0:11:49 | |
You know, it's not like these men were children, | 0:11:49 | 0:11:52 | |
that they, you know, are just... | 0:11:52 | 0:11:55 | |
..sort of young children who don't know much, they are adults, | 0:11:56 | 0:11:59 | |
so the fact that they have chosen to hurl abuse at a random stranger | 0:11:59 | 0:12:06 | |
just makes you feel quite hopeless. | 0:12:06 | 0:12:09 | |
I mean, what...what can you do about that? | 0:12:09 | 0:12:12 | |
This is Somerset. | 0:12:20 | 0:12:21 | |
Only two in a thousand people that live here are black. | 0:12:21 | 0:12:24 | |
We've been told by antiracism groups that there are issues here. | 0:12:28 | 0:12:31 | |
This is where Deji will be spending his day. | 0:12:34 | 0:12:37 | |
I'm hoping it's going to be a positive and pleasant experience, | 0:12:37 | 0:12:41 | |
but you just never know, so, um...let's see what happens. | 0:12:41 | 0:12:45 | |
I've been really pleased, actually, because a couple of times, | 0:13:09 | 0:13:13 | |
people have seen me and said "hello", and "how are you?", | 0:13:13 | 0:13:18 | |
which was great, and then I've just come from a pub, now, | 0:13:18 | 0:13:21 | |
where I was standing outside, | 0:13:21 | 0:13:23 | |
and the three blokes that were there offered me a seat to sit down. | 0:13:23 | 0:13:27 | |
I thought I'd get a bit of sun before... | 0:13:27 | 0:13:30 | |
before it's all gone for the summer, you know? | 0:13:30 | 0:13:33 | |
-It's gone, mate. -It's gone, innit? Yeah. | 0:13:33 | 0:13:36 | |
-This is our summer. -Yeah. | 0:13:36 | 0:13:38 | |
They noticed that I'm not from around here, | 0:13:38 | 0:13:40 | |
and they was just talking to me and getting me involved, | 0:13:40 | 0:13:42 | |
which was nice, cos it's quite a small pub, | 0:13:42 | 0:13:44 | |
and I'm always quite conscious of small pubs, | 0:13:44 | 0:13:46 | |
cos they tend to be quite local, | 0:13:46 | 0:13:48 | |
you know, tends to be the same people going there. | 0:13:48 | 0:13:51 | |
So, the fact that they could tell I was new, | 0:13:51 | 0:13:54 | |
but I wasn't made to feel uncomfortable | 0:13:54 | 0:13:56 | |
in terms of those three guys - | 0:13:56 | 0:13:58 | |
but what I have also noticed | 0:13:58 | 0:13:59 | |
is that there is the ones who are not speaking. | 0:13:59 | 0:14:02 | |
I do get the look, | 0:14:02 | 0:14:03 | |
so, they're just giving me, you know, just little... | 0:14:03 | 0:14:06 | |
They're staring at me, or there's a little look there. | 0:14:06 | 0:14:08 | |
You know, I try and acknowledge them, | 0:14:08 | 0:14:10 | |
I try and smile, and, you know, whatever, | 0:14:10 | 0:14:13 | |
but, yeah, I do feel that there's a couple of looks, | 0:14:13 | 0:14:16 | |
but nothing to make me feel so awkward | 0:14:16 | 0:14:19 | |
that I have to leave or get out the area. | 0:14:19 | 0:14:22 | |
So, I go home happy. | 0:14:22 | 0:14:24 | |
This is Bradford. | 0:14:33 | 0:14:35 | |
Nearly a quarter of the 500,000 people that live here are Muslims | 0:14:36 | 0:14:41 | |
and just 300 Jewish people live here. | 0:14:41 | 0:14:43 | |
It's been said that wars in the Middle East have created tensions | 0:14:45 | 0:14:48 | |
between these two communities here in Britain, including Bradford. | 0:14:48 | 0:14:52 | |
This is where Richard is going to spend his day. | 0:14:55 | 0:14:58 | |
Hopefully, as we walk the streets, the people of Bradford will pay me | 0:14:58 | 0:15:02 | |
as little attention as everyone else does back at home. | 0:15:02 | 0:15:05 | |
My gut instinct, I suppose, being an optimist, | 0:15:05 | 0:15:08 | |
is that nothing at all will happen. | 0:15:08 | 0:15:10 | |
Potentially people might see I am wearing a kippa, | 0:15:10 | 0:15:13 | |
might want to ask a few questions about what does that mean, | 0:15:13 | 0:15:17 | |
or..."are you Jewish?" | 0:15:17 | 0:15:19 | |
Within about 60 seconds of getting out of the station, | 0:15:28 | 0:15:31 | |
I was walking past a small group of people | 0:15:31 | 0:15:33 | |
who were having a drink outside a pub. | 0:15:33 | 0:15:35 | |
'It was certainly bizarre, | 0:16:16 | 0:16:18 | |
'I'm not quite sure what they meant by that. | 0:16:18 | 0:16:20 | |
'But for most of the day, it was very pleasant.' | 0:16:20 | 0:16:23 | |
-Excuse me, do you know where Centenary Square is? -Aye, yeah. | 0:16:23 | 0:16:27 | |
If you go up from here... | 0:16:30 | 0:16:31 | |
'Everybody was lovely. | 0:16:36 | 0:16:37 | |
'When I looked lost, a number of people came up to me.' | 0:16:37 | 0:16:40 | |
-It's straight down. -Yeah. -That's the city centre down there. | 0:16:40 | 0:16:44 | |
Amazing. Thanks very much. Have a good day. | 0:16:44 | 0:16:47 | |
'Unfortunately, in the last hour or so, | 0:16:48 | 0:16:51 | |
'we actually took a wrong direction down a dodgy alley.' | 0:16:51 | 0:16:54 | |
-Sorry. -No? | 0:16:57 | 0:16:59 | |
'Two white guys saw me and said, "Oh, can I just borrow your phone? | 0:16:59 | 0:17:02 | |
'"I just need to make one phone call." | 0:17:02 | 0:17:05 | |
'And I politely declined | 0:17:05 | 0:17:07 | |
'And as I was walking past, they shouted, "Oh, it's a Jew!" | 0:17:07 | 0:17:10 | |
'It's really striking that that can be a term of insult.' | 0:17:10 | 0:17:13 | |
Oi, pal! | 0:17:15 | 0:17:16 | |
Then, not long after that, I was walking along a very busy main road | 0:17:23 | 0:17:28 | |
and a young Asian male was driving past me. | 0:17:28 | 0:17:33 | |
TOOTS HORN | 0:17:33 | 0:17:35 | |
He knocked on his window and gave me the V-sign. | 0:17:37 | 0:17:41 | |
Five minutes later, a similar thing happened. | 0:17:41 | 0:17:44 | |
Another British Asian male was driving past | 0:17:44 | 0:17:47 | |
on a different stretch of the road... | 0:17:47 | 0:17:50 | |
HORN TOOTS | 0:17:50 | 0:17:51 | |
..and again bangs on his window and gestured to me. | 0:17:51 | 0:17:54 | |
Hello. Cheers, guys. | 0:18:01 | 0:18:03 | |
That was actually quite depressing. Um...I really wanted to be right. | 0:18:05 | 0:18:10 | |
I need to be careful not to draw huge generalisations | 0:18:10 | 0:18:14 | |
into what was clearly one day in one city, in one particular year, | 0:18:14 | 0:18:19 | |
but nevertheless, it happened, and I can't pretend it didn't. | 0:18:19 | 0:18:22 | |
It's just wrong, it's just not right. | 0:18:22 | 0:18:25 | |
It's just not right to behave that way. | 0:18:26 | 0:18:29 | |
It looks like aggressive racism is alive and well in Britain. | 0:18:32 | 0:18:35 | |
The undercover experiment reflects the increase in reports | 0:18:35 | 0:18:38 | |
of religiously motivated hate crime. | 0:18:38 | 0:18:41 | |
Sources suggest 50% more attacks on Jewish people across Britain | 0:18:41 | 0:18:44 | |
in the first half of this year | 0:18:44 | 0:18:46 | |
and 70% more against Muslims in London last year. | 0:18:46 | 0:18:49 | |
The abuse that was hurled at Hanna | 0:18:50 | 0:18:52 | |
would technically have been recorded as a race hate crime. | 0:18:52 | 0:18:54 | |
But she says that she wouldn't have reported it. | 0:18:54 | 0:18:57 | |
And I know that for me, personally, when I've received verbal abuse | 0:18:57 | 0:19:00 | |
or even been punched, I didn't go to the police, | 0:19:00 | 0:19:02 | |
so the official statistics probably don't capture the full extent | 0:19:02 | 0:19:05 | |
of what's happening on the streets of Britain. | 0:19:05 | 0:19:08 | |
But what about more subtle ways we might treat people differently | 0:19:08 | 0:19:11 | |
because of their race or religion? | 0:19:11 | 0:19:13 | |
Is it possible to detect them? | 0:19:13 | 0:19:16 | |
Let's start with a simple test. | 0:19:20 | 0:19:21 | |
Richard, Deji, | 0:19:26 | 0:19:29 | |
Hanna... | 0:19:29 | 0:19:31 | |
and Hanna in a niqab will hand out a dozen doughnuts to the public | 0:19:31 | 0:19:34 | |
as quickly as possible. | 0:19:34 | 0:19:36 | |
This test clearly is not scientific, but will people on the street | 0:19:36 | 0:19:40 | |
be less likely to take food from any of them? | 0:19:40 | 0:19:43 | |
Free doughnut? | 0:19:43 | 0:19:44 | |
It's always good to diversify your career opportunities, | 0:19:44 | 0:19:48 | |
so, going into a bit of sales work, it's going to be fun. | 0:19:48 | 0:19:52 | |
Being honest with you, I'm not really feeling this flag. | 0:19:52 | 0:19:55 | |
It's affecting my whole swagger, I'm losing all street credibility. | 0:19:55 | 0:19:58 | |
I think I will get quite a bit of attention | 0:19:58 | 0:20:00 | |
just because I'm someone who's wearing a scarf | 0:20:00 | 0:20:04 | |
with a few doughnuts. | 0:20:04 | 0:20:06 | |
I'm quite nervous about speaking to people with a niqab on. | 0:20:07 | 0:20:12 | |
-Free doughnut? -You're all right. | 0:20:12 | 0:20:14 | |
Hi. Free doughnut? | 0:20:14 | 0:20:16 | |
You're welcome. | 0:20:17 | 0:20:18 | |
Free doughnuts? They're free. | 0:20:18 | 0:20:21 | |
Free doughnuts? | 0:20:21 | 0:20:23 | |
-Hi, free doughnut? -Why not? Cheers. | 0:20:26 | 0:20:28 | |
-No, that's yours. -Enjoy, have a lovely day. | 0:20:29 | 0:20:32 | |
Free doughnut? | 0:20:32 | 0:20:34 | |
Some people won't even look at me. | 0:20:36 | 0:20:38 | |
Yeah, no worries. | 0:20:38 | 0:20:41 | |
-Thank you. -You're welcome. | 0:20:41 | 0:20:43 | |
-Help yourself. -Thank you. -You're welcome. | 0:20:44 | 0:20:46 | |
-All gone! -Oh, never mind. Good luck. -Thank you. | 0:20:48 | 0:20:52 | |
-Free doughnut? -Thank you. | 0:20:53 | 0:20:56 | |
-Thank you kindly. -Yeah, brilliant. | 0:20:56 | 0:20:59 | |
-Free doughnut? -Oh, my days! Thank you. | 0:21:11 | 0:21:13 | |
Enjoy. Sorry, it's my last one. | 0:21:13 | 0:21:15 | |
-Is it? -You'll have to share it. -Thank you. -Have a good day. | 0:21:15 | 0:21:19 | |
-Free doughnut? -You're kidding! | 0:21:20 | 0:21:22 | |
-No, thanks. -She just told me I'm kidding. | 0:21:22 | 0:21:26 | |
I don't know what that's supposed to mean. | 0:21:26 | 0:21:28 | |
-Is that free? -Free doughnuts, yeah. | 0:21:28 | 0:21:29 | |
You're welcome. | 0:21:32 | 0:21:33 | |
I think someone just walked past | 0:21:37 | 0:21:39 | |
and muttered "scum" under their breath towards me... | 0:21:39 | 0:21:43 | |
..which is quite shocking | 0:21:45 | 0:21:47 | |
that someone would disrespect a stranger like that. | 0:21:47 | 0:21:50 | |
So far, it's been Hanna and Richard | 0:21:54 | 0:21:56 | |
that have run into problems in the tests. | 0:21:56 | 0:21:59 | |
But Deji has also faced racism on Britain's streets. | 0:21:59 | 0:22:02 | |
Had eggs chucked from a moving vehicle, just missing me, | 0:22:04 | 0:22:08 | |
the odd monkey chant, | 0:22:08 | 0:22:10 | |
I had people say, "Fuck off, go back to your own country", | 0:22:10 | 0:22:14 | |
you know, "Fucking get out of here!" | 0:22:14 | 0:22:16 | |
That's not nice. | 0:22:16 | 0:22:18 | |
Imagine - I've grown up in England all my life, | 0:22:18 | 0:22:21 | |
so when you are being told to fuck off back to your own country | 0:22:21 | 0:22:23 | |
I'm like, "Where do you want me to go? This is my country." | 0:22:23 | 0:22:27 | |
Prejudice against black people is still a serious issue across Britain. | 0:22:27 | 0:22:31 | |
Fresh English strawberries, two for £2. | 0:22:36 | 0:22:38 | |
This is Ossett, a traditional market town that's 98% white. | 0:22:38 | 0:22:43 | |
Martha-Renee faced abuse when she opened her cafe here. | 0:22:45 | 0:22:48 | |
It's been four years going to five now since I started the cafe. | 0:22:49 | 0:22:53 | |
It's been really tough, but I keep coming here | 0:22:53 | 0:22:57 | |
because that's what I like to do. | 0:22:57 | 0:22:59 | |
It means so much to me. I am very passionate about it. | 0:23:02 | 0:23:05 | |
Ossett is a beautiful place, we've got some nice people here | 0:23:08 | 0:23:12 | |
who've been really kind to me. | 0:23:12 | 0:23:14 | |
Since I came here, there have been some | 0:23:14 | 0:23:16 | |
who've been really horrible as well, you know - | 0:23:16 | 0:23:18 | |
it's both ends of the spectrum is how it's been. | 0:23:18 | 0:23:22 | |
They've called me "black bitch", they've called me F-ing Paki, | 0:23:22 | 0:23:26 | |
F-ing Nigger, they've called me those names. | 0:23:26 | 0:23:29 | |
As well as the name-calling, Martha was troubled by | 0:23:29 | 0:23:32 | |
what she believes was unspoken prejudice. | 0:23:32 | 0:23:34 | |
People say the food is good, then why are they not coming in? | 0:23:36 | 0:23:40 | |
I mean, why would someone come and put their face to the window, | 0:23:40 | 0:23:45 | |
like that, to stare at us? | 0:23:45 | 0:23:47 | |
Or maybe they would come in, "Can I have a medium breakfast?" | 0:23:49 | 0:23:52 | |
I'd cook the breakfast and maybe they'd eat everything on the plate | 0:23:52 | 0:23:55 | |
and leave a slice of toast. "I can't pay for this, it was too greasy." | 0:23:55 | 0:23:58 | |
What do you say to people like that? | 0:23:58 | 0:24:01 | |
What do you say? | 0:24:01 | 0:24:03 | |
I mean, I leave home and I am so excited. | 0:24:03 | 0:24:07 | |
I would come and cook and do everything. | 0:24:09 | 0:24:12 | |
I mean, you see how clean this place is. | 0:24:12 | 0:24:14 | |
I would clean it over and over, | 0:24:14 | 0:24:17 | |
but people say that place is terrible, we can't go there. | 0:24:17 | 0:24:20 | |
Martha decided to deal with the situation | 0:24:20 | 0:24:23 | |
by putting up a sign at her cafe. | 0:24:23 | 0:24:25 | |
It says, "Attention, everyone be aware, | 0:24:28 | 0:24:31 | |
"I am a black woman and always will be. | 0:24:31 | 0:24:35 | |
"If you are allergic to black people, don't come in, | 0:24:35 | 0:24:39 | |
"but if you prefer quality, wholesome meals | 0:24:39 | 0:24:43 | |
"in a pleasant and clean environment, | 0:24:43 | 0:24:45 | |
"come in. I don't bite, Thanks. Martha-Renee." | 0:24:45 | 0:24:49 | |
I put this sign up because we came to work one morning, | 0:24:51 | 0:24:55 | |
my daughter and I, and two white women walked in, | 0:24:55 | 0:24:59 | |
they looked at my daughter, up and down, staring at her, | 0:24:59 | 0:25:03 | |
turned around and said, "We are in the wrong place." | 0:25:03 | 0:25:06 | |
If they were in the wrong place, they'd have said, | 0:25:06 | 0:25:08 | |
"Oh, sorry, love, we are looking for another shop." | 0:25:08 | 0:25:10 | |
Their mannerisms spoke it all. | 0:25:10 | 0:25:13 | |
And they walked out. It really upset my daughter and myself, | 0:25:13 | 0:25:17 | |
so I put the sign up. | 0:25:17 | 0:25:19 | |
That way, when they see the sign, | 0:25:19 | 0:25:20 | |
if they don't like black people, they won't come in. | 0:25:20 | 0:25:24 | |
It's impossible to prove | 0:25:24 | 0:25:25 | |
whether Martha was treated differently because of her race. | 0:25:25 | 0:25:29 | |
The problem is unspoken racism is hard to verify. | 0:25:35 | 0:25:39 | |
Can a test help identify unconscious prejudice? | 0:25:41 | 0:25:44 | |
Richard, Hanna and Deji will trigger ten shop alarms | 0:25:47 | 0:25:50 | |
to see whether any one of them gets their bag searched more often. | 0:25:50 | 0:25:54 | |
BLEEPING | 0:26:05 | 0:26:07 | |
I don't feel under suspicion in the sense that someone's thinking, | 0:26:10 | 0:26:13 | |
this boy might nick something. | 0:26:13 | 0:26:15 | |
I think because I'm coded as white, as many Jews are, | 0:26:18 | 0:26:21 | |
I'm probably treated with any implicit assumptions | 0:26:21 | 0:26:24 | |
that that might bring. | 0:26:24 | 0:26:25 | |
BLEEPING | 0:26:25 | 0:26:28 | |
BLEEPING | 0:26:39 | 0:26:41 | |
BLEEPING | 0:26:46 | 0:26:48 | |
-You haven't bought anything? -No. | 0:26:48 | 0:26:50 | |
-You haven't bought anything? -No. | 0:26:51 | 0:26:54 | |
I didn't feel under suspicion, I didn't feel they were doubting | 0:26:54 | 0:26:57 | |
anything of my actions or anything I said. | 0:26:57 | 0:27:00 | |
BLEEPING | 0:27:00 | 0:27:02 | |
-Have you bought something? -No. | 0:27:02 | 0:27:05 | |
People have been quite nice about it, | 0:27:05 | 0:27:07 | |
they'll obviously stop me and check my bag, | 0:27:07 | 0:27:10 | |
but they'll have a quick glance in my bag | 0:27:10 | 0:27:12 | |
and then it's fine and let me off. | 0:27:12 | 0:27:14 | |
-Can you come with me? -Yeah, sure. | 0:27:14 | 0:27:16 | |
-You bought something inside? -No. | 0:27:19 | 0:27:21 | |
-Can you cross the door for me, please? -Yeah. | 0:27:21 | 0:27:24 | |
BLEEPING | 0:27:24 | 0:27:26 | |
Can I look inside the bag, please? | 0:27:26 | 0:27:28 | |
BLEEPING | 0:27:28 | 0:27:30 | |
-Have you shopped with us? -No, I didn't. | 0:27:30 | 0:27:32 | |
-That's fine, no worries. -OK. | 0:27:32 | 0:27:34 | |
Thank you. | 0:27:34 | 0:27:35 | |
I'm going to be stopped quite a few times. That one, I'm pretty sure. | 0:27:44 | 0:27:49 | |
BLEEPING | 0:27:49 | 0:27:52 | |
This way, mate. | 0:27:52 | 0:27:54 | |
-Open your rucksack. -Open my bag? -Yeah. | 0:27:57 | 0:28:01 | |
-It's not a problem. -Please. -Yeah, it's all right. | 0:28:01 | 0:28:03 | |
BLEEPING | 0:28:06 | 0:28:07 | |
BLEEPING | 0:28:09 | 0:28:13 | |
What's that? | 0:28:14 | 0:28:16 | |
Are you part of the security, are you? All right. | 0:28:16 | 0:28:19 | |
Do you want to open your bag up for me and I'll just, um... | 0:28:19 | 0:28:21 | |
It's never a nice feeling, | 0:28:24 | 0:28:26 | |
no-one likes to feel that they might be perceived as someone suspicious. | 0:28:26 | 0:28:30 | |
-Have you bought anything? -No. | 0:28:30 | 0:28:32 | |
-Do you mind if I just try your bag? Is that all right? -Yeah, sure, mate. | 0:28:32 | 0:28:35 | |
SECURITY SCANNERS BEEP | 0:28:35 | 0:28:38 | |
Let's say I'm in the shop, | 0:28:42 | 0:28:43 | |
then you might see the security do a little manoeuvre, you know? | 0:28:43 | 0:28:47 | |
They do a manoeuvre, which is, | 0:28:47 | 0:28:49 | |
they are... They tend to stand at the edge of the aisle | 0:28:49 | 0:28:54 | |
of where you are | 0:28:54 | 0:28:56 | |
and they kind of do a little glance here and there, | 0:28:56 | 0:28:58 | |
do you know what I mean? I notice that. | 0:28:58 | 0:29:00 | |
When it comes to crime, it's often black people | 0:29:00 | 0:29:03 | |
that are viewed with the most suspicion. | 0:29:03 | 0:29:06 | |
In some areas, you're 17 times more likely to be stopped and searched | 0:29:06 | 0:29:10 | |
if you're black. | 0:29:10 | 0:29:11 | |
Compared to white people, | 0:29:11 | 0:29:13 | |
black people get longer prison sentences on average, | 0:29:13 | 0:29:17 | |
and are nearly twice as likely to be charged if caught with drugs. | 0:29:17 | 0:29:20 | |
No-one said anything even remotely racist to Deji, | 0:29:22 | 0:29:25 | |
so it's impossible to know for sure | 0:29:25 | 0:29:28 | |
that his bag was searched more often just because he's black. | 0:29:28 | 0:29:31 | |
But there is a test that looks at | 0:29:33 | 0:29:35 | |
whether we subconsciously view black people differently. | 0:29:35 | 0:29:38 | |
I'm going to ask some people in this pub to sit the test. | 0:29:45 | 0:29:49 | |
Hello! Hi. | 0:29:49 | 0:29:50 | |
Would you be willing to do a test | 0:29:50 | 0:29:52 | |
but without knowing anything at all about what the test consists of? | 0:29:52 | 0:29:55 | |
-Yeah, sure. -Yeah? OK. -OK. | 0:29:55 | 0:29:58 | |
-Hello. Is it all right if I sit here? -Of course. Sit down. -All right. | 0:29:58 | 0:30:02 | |
I'll just set it up for you guys. | 0:30:02 | 0:30:04 | |
-The trick is to be as fast as you can. -OK. -Yeah? | 0:30:04 | 0:30:07 | |
All right. | 0:30:09 | 0:30:10 | |
'People are shown a quick succession of faces and words. | 0:30:11 | 0:30:14 | |
'They have to quickly classify each face as black or white, | 0:30:16 | 0:30:19 | |
'and each word as good or bad.' | 0:30:19 | 0:30:22 | |
This is ridiculous. | 0:30:27 | 0:30:29 | |
HE LAUGHS | 0:30:29 | 0:30:31 | |
'The test detects whether people unconsciously associate | 0:30:31 | 0:30:34 | |
'a particular race with good or bad words.' | 0:30:34 | 0:30:37 | |
All right. You're done! You can breathe. | 0:30:39 | 0:30:41 | |
SHE EXHALES | 0:30:41 | 0:30:43 | |
So, your data suggests a strong automatic preference | 0:30:43 | 0:30:46 | |
for white people compared to black people. | 0:30:46 | 0:30:49 | |
How do you feel about that? | 0:30:49 | 0:30:51 | |
Um...not great, no. | 0:30:51 | 0:30:53 | |
I wouldn't have said that's the way I view people or... | 0:30:53 | 0:30:57 | |
I'd like to think that I have the same preference for both. | 0:30:57 | 0:31:03 | |
You have a slight bias towards individuals who are white. | 0:31:05 | 0:31:11 | |
-Right. -Does that surprise you at all? | 0:31:11 | 0:31:14 | |
Yeah, a little bit. | 0:31:14 | 0:31:16 | |
It doesn't make me feel good, | 0:31:16 | 0:31:19 | |
cos it's not nice to discover you have that natural instinct. | 0:31:19 | 0:31:24 | |
I wouldn't say that I am racist at all. | 0:31:24 | 0:31:26 | |
I wouldn't think that I would treat someone differently | 0:31:26 | 0:31:29 | |
just because of their race. Like, I wouldn't instinctively do that, | 0:31:29 | 0:31:32 | |
but then I suppose the test results show differently, | 0:31:32 | 0:31:35 | |
so it's difficult to say. | 0:31:35 | 0:31:37 | |
You have no automatic preference between black individuals | 0:31:37 | 0:31:42 | |
and white individuals, according to the test. | 0:31:42 | 0:31:44 | |
You're happy with the result? | 0:31:44 | 0:31:46 | |
-Yeah. -Why are you happy with it? | 0:31:46 | 0:31:48 | |
Cos I don't think I'm a racist person and that proves it. | 0:31:48 | 0:31:51 | |
So, it says that your data suggests | 0:31:51 | 0:31:54 | |
a slight preference towards black people compared to white people. | 0:31:54 | 0:31:57 | |
-Mm-hm. -Does that surprise you at all? | 0:31:57 | 0:32:00 | |
I don't know. | 0:32:01 | 0:32:03 | |
I don't think I really do have a bias, if you know what I mean. | 0:32:03 | 0:32:08 | |
Right, back to me now. | 0:32:08 | 0:32:10 | |
Thank you very much. | 0:32:10 | 0:32:12 | |
So, it says that your data suggests you have a strong preference | 0:32:12 | 0:32:15 | |
for white individuals over black individuals... | 0:32:15 | 0:32:18 | |
HE LAUGHS NERVOUSLY | 0:32:18 | 0:32:20 | |
Right. A str...? | 0:32:20 | 0:32:22 | |
A strong automatic preference | 0:32:22 | 0:32:24 | |
for white individuals over black individuals. | 0:32:24 | 0:32:26 | |
How do you feel about the results? | 0:32:26 | 0:32:28 | |
I don't think it's changed my opinion about myself much. | 0:32:28 | 0:32:31 | |
-You know what? He looked really uncomfortable. -Yeah. | 0:32:31 | 0:32:35 | |
'This isn't a test to find racists. | 0:32:35 | 0:32:37 | |
'It's just about discovering the hidden prejudices | 0:32:37 | 0:32:41 | |
'we don't even know that we have.' | 0:32:41 | 0:32:43 | |
So, altogether, about 3,000 British people have sat this test, | 0:32:43 | 0:32:47 | |
and 80% of those who weren't black | 0:32:47 | 0:32:49 | |
showed some preference towards white people. | 0:32:49 | 0:32:51 | |
So, does that mean there's something within many of us | 0:32:51 | 0:32:54 | |
that makes us view black people differently? | 0:32:54 | 0:32:56 | |
I'm going to put myself through some tests | 0:32:57 | 0:33:00 | |
to find out more about my own unconscious prejudices. | 0:33:00 | 0:33:03 | |
Today, I've come to have my brain scanned by a scientist | 0:33:09 | 0:33:12 | |
who is pioneering research into our hidden attitudes on race. | 0:33:12 | 0:33:16 | |
-Hello. -Mona, hi. -Hi, Manos. Nice to meet you. -Nice to meet you too. | 0:33:24 | 0:33:27 | |
Welcome to the MRI Unit of Royal Holloway. | 0:33:27 | 0:33:30 | |
We're going to be doing a short experiment, | 0:33:30 | 0:33:32 | |
trying to see how your brain responds | 0:33:32 | 0:33:33 | |
to faces of people who belong to different races. | 0:33:33 | 0:33:36 | |
Can I ask which races I am going to be shown? | 0:33:36 | 0:33:38 | |
You're going to be seeing white and black faces. | 0:33:38 | 0:33:41 | |
No...anything else? | 0:33:41 | 0:33:43 | |
-No Arab, no Asian faces? -No. No, just white and black. -OK. | 0:33:43 | 0:33:46 | |
How are you feeling? | 0:33:46 | 0:33:48 | |
A little bit nervous. | 0:33:48 | 0:33:50 | |
I've never had someone scan my brain before. | 0:33:50 | 0:33:53 | |
This is going to be interesting for me. | 0:33:53 | 0:33:55 | |
Hi, Mona. How are you? | 0:34:06 | 0:34:08 | |
OK, thanks. | 0:34:08 | 0:34:09 | |
OK. We're going to start the experiment. | 0:34:09 | 0:34:12 | |
OK. | 0:34:12 | 0:34:14 | |
So, Mona is going to be looking at different faces | 0:34:15 | 0:34:18 | |
appearing on the screen for 1.5 seconds. | 0:34:18 | 0:34:21 | |
What we are interested in is her brain response in two key areas - | 0:34:21 | 0:34:26 | |
one is an area that codes fear, | 0:34:26 | 0:34:28 | |
it shows a fear response, | 0:34:28 | 0:34:30 | |
and the second area is the one that tries to control | 0:34:30 | 0:34:33 | |
an automatic fear response, | 0:34:33 | 0:34:35 | |
and we hope that we will be able to find some differences | 0:34:35 | 0:34:37 | |
when she's looking at black faces versus white faces. | 0:34:37 | 0:34:41 | |
The scanner measures the blood flowing through my brain | 0:34:41 | 0:34:45 | |
to reveal which areas are most active. | 0:34:45 | 0:34:48 | |
Hi, Mona, it's all done and it's time to come out. | 0:34:48 | 0:34:51 | |
Ali will come to pick you up. | 0:34:51 | 0:34:53 | |
OK. | 0:34:53 | 0:34:54 | |
So, let me take you through the results. | 0:35:02 | 0:35:05 | |
Now, first of all, is there any area in your brain that was more active | 0:35:05 | 0:35:09 | |
when you were looking at white faces? | 0:35:09 | 0:35:12 | |
And the answer is no. | 0:35:13 | 0:35:15 | |
So, now the question is, | 0:35:15 | 0:35:17 | |
what happens to your brain when you look at black faces | 0:35:17 | 0:35:20 | |
compared to white faces? | 0:35:20 | 0:35:22 | |
As you can see, there were three key areas that were more active. | 0:35:22 | 0:35:25 | |
The first is the brain area that we know is involved in fear response. | 0:35:25 | 0:35:29 | |
The second brain area is involved in controlling automatic responses, | 0:35:29 | 0:35:33 | |
such as a fear response. | 0:35:33 | 0:35:35 | |
And finally, the brain area that we know | 0:35:35 | 0:35:37 | |
is involved in resolving conflicts | 0:35:37 | 0:35:39 | |
between different potential responses. | 0:35:39 | 0:35:42 | |
So, what does this mean, then? | 0:35:42 | 0:35:43 | |
Does this mean that I am just afraid of black people? | 0:35:43 | 0:35:46 | |
This is a learned response to associate, for example, | 0:35:46 | 0:35:48 | |
black individuals with fear. | 0:35:48 | 0:35:51 | |
And even if we are not explicitly racist, | 0:35:51 | 0:35:53 | |
we have to be aware of the fact that we are all born and raised | 0:35:53 | 0:35:56 | |
in societies that may encourage different stereotypes. | 0:35:56 | 0:36:00 | |
But, at the same time, | 0:36:00 | 0:36:02 | |
you find this very positive activation | 0:36:02 | 0:36:04 | |
in parts of the brain that try to regulate this automatic response, | 0:36:04 | 0:36:08 | |
and this is quite important because, at the end of the day, | 0:36:08 | 0:36:11 | |
this is what we want. | 0:36:11 | 0:36:12 | |
We want to try and go beyond | 0:36:12 | 0:36:14 | |
what we have learned and we want to try and control our behaviour | 0:36:14 | 0:36:17 | |
so that we don't behave in a racist way. | 0:36:17 | 0:36:20 | |
So, do you think if Britain was a less racist society, | 0:36:20 | 0:36:23 | |
my brain would look different? | 0:36:23 | 0:36:25 | |
-Is that what you are saying? -Yes. | 0:36:25 | 0:36:27 | |
I feel really disappointed. | 0:36:27 | 0:36:30 | |
I'm...I'm disappointed that | 0:36:31 | 0:36:33 | |
all of the stuff that society has fed me, | 0:36:33 | 0:36:35 | |
all of this negative stuff, has affected my brain. | 0:36:35 | 0:36:38 | |
I don't think I was born with an aversion to black people | 0:36:38 | 0:36:43 | |
and I don't think that I have developed that fear | 0:36:43 | 0:36:46 | |
through my own personal experiences, | 0:36:46 | 0:36:48 | |
because I don't think I have had | 0:36:48 | 0:36:50 | |
any more negative personal experiences of black people | 0:36:50 | 0:36:53 | |
that I have of any other race, | 0:36:53 | 0:36:55 | |
and the thing that's even quite frightening is, I'm not even... | 0:36:55 | 0:36:59 | |
I still see, obviously, you know, stereotypes being bandied around | 0:36:59 | 0:37:03 | |
but I'm not aware of the way that they are constantly affecting me. | 0:37:03 | 0:37:06 | |
If anything, I'm thinking, "That's not true, | 0:37:06 | 0:37:08 | |
"that's not true, that's not true," and yet it's somewhere in my brain. | 0:37:08 | 0:37:12 | |
But I think it's just quite sad how crude it is, in a way. | 0:37:12 | 0:37:17 | |
Like, it's just the part of your brain saying, "Be scared." | 0:37:17 | 0:37:20 | |
It's just so unbelievably basic. | 0:37:20 | 0:37:23 | |
RAP MUSIC PLAYS | 0:37:23 | 0:37:26 | |
You don't have to look hard to find | 0:37:26 | 0:37:28 | |
examples of negative stereotyping of black people. | 0:37:28 | 0:37:32 | |
Close to seven in ten stories in the news | 0:37:32 | 0:37:35 | |
about young black men relate to crime.... | 0:37:35 | 0:37:38 | |
..while music videos and movies show black men as violent criminals | 0:37:40 | 0:37:43 | |
to be feared. | 0:37:43 | 0:37:45 | |
Islamist extremists here and abroad | 0:37:48 | 0:37:50 | |
have driven some to have a sense of hostility towards all Muslims. | 0:37:50 | 0:37:54 | |
And events in the Middle East are sometimes claimed to be | 0:37:56 | 0:37:59 | |
behind the rise in attacks on Jewish people here. | 0:37:59 | 0:38:02 | |
But there are white people who believe | 0:38:17 | 0:38:19 | |
they are suffering in multicultural Britain. | 0:38:19 | 0:38:22 | |
A Government survey in 2007 found that around one in four white people | 0:38:25 | 0:38:29 | |
felt they'd be treated worse than other races | 0:38:29 | 0:38:32 | |
by council housing departments, | 0:38:32 | 0:38:34 | |
and that same survey found that around one in 14 white people | 0:38:34 | 0:38:38 | |
felt they had been discriminated against | 0:38:38 | 0:38:41 | |
when trying to get a promotion, because of their race. | 0:38:41 | 0:38:44 | |
This sense of injustice that some feel | 0:38:45 | 0:38:47 | |
has coincided with the creation of small new political parties. | 0:38:47 | 0:38:51 | |
Unfortunately, I think there is racism in Britain, | 0:38:51 | 0:38:54 | |
and that comes from the top, | 0:38:54 | 0:38:55 | |
from the Government, the politicians. | 0:38:55 | 0:38:57 | |
They hate the white working class, and we know this | 0:38:57 | 0:38:59 | |
because they are destroying our communities, | 0:38:59 | 0:39:02 | |
absolutely obliterating them. | 0:39:02 | 0:39:03 | |
Jack is a publicity officer for the political party Liberty GB, | 0:39:03 | 0:39:06 | |
who argue that multiculturalism is damaging Britain. | 0:39:06 | 0:39:10 | |
Every nation should be culturist. | 0:39:10 | 0:39:13 | |
It should allow the national culture to, essentially, be supreme. | 0:39:13 | 0:39:17 | |
I think it's important for nations to maintain a population | 0:39:17 | 0:39:22 | |
which is majority indigenous. | 0:39:22 | 0:39:25 | |
A lot of people are going to have to be deported. | 0:39:25 | 0:39:27 | |
Anyone that's come here should have their citizenship scrutinised. | 0:39:27 | 0:39:30 | |
Anyone who actually isn't offering anything serious, | 0:39:30 | 0:39:33 | |
what's the point in keeping them here? | 0:39:33 | 0:39:35 | |
George, have you...? Is it done? OK. | 0:39:35 | 0:39:38 | |
Why isn't this...? | 0:39:41 | 0:39:42 | |
We are filming some videos for the party. | 0:39:45 | 0:39:47 | |
It's something we do pretty regularly. | 0:39:47 | 0:39:50 | |
It's basically just to keep the members updated, | 0:39:50 | 0:39:52 | |
and hopefully some of it goes viral, | 0:39:52 | 0:39:54 | |
so it's basically just an internet outreach. | 0:39:54 | 0:39:57 | |
Islam is probably, right now, | 0:40:05 | 0:40:07 | |
the primary problem with multiculturalism. | 0:40:07 | 0:40:10 | |
It's fascist, it's authoritarian. | 0:40:10 | 0:40:12 | |
I'm not saying don't believe in Allah, | 0:40:12 | 0:40:14 | |
don't believe you're a Muslim. | 0:40:14 | 0:40:16 | |
What I am saying is, don't bring the female genital mutilation, | 0:40:16 | 0:40:19 | |
don't bring the fascist ideas. | 0:40:19 | 0:40:21 | |
Nigel Farage, this is for you. | 0:40:24 | 0:40:26 | |
You told us that multiculturalism has failed | 0:40:26 | 0:40:28 | |
and then your party went out of its way | 0:40:28 | 0:40:31 | |
to appease multiculturalists. | 0:40:31 | 0:40:33 | |
Pandering to the vote of the bleeding-heart liberals | 0:40:33 | 0:40:36 | |
is just going to fail. | 0:40:36 | 0:40:37 | |
Your party even had some kind of ridiculous stunt, | 0:40:37 | 0:40:40 | |
where you embraced people | 0:40:40 | 0:40:42 | |
of a huge range of different backgrounds on stage. | 0:40:42 | 0:40:45 | |
Multiculturalism and Islam have torn our country apart | 0:40:45 | 0:40:47 | |
and created community tensions and ghettoes. | 0:40:47 | 0:40:50 | |
Jack fears that proposed changes in the law | 0:40:50 | 0:40:53 | |
could mean he'll end up in prison for speaking out. | 0:40:53 | 0:40:56 | |
I think more people need to just come out | 0:40:56 | 0:40:58 | |
and accept the consequences, accept that they might lose their job, | 0:40:58 | 0:41:01 | |
accept that they might go to prison, or whatever. | 0:41:01 | 0:41:04 | |
You've got to talk about these things and stop it. | 0:41:04 | 0:41:06 | |
It's like dissenting in Communist Russia - it had to be done. | 0:41:06 | 0:41:09 | |
I'm really proud to be British. | 0:41:09 | 0:41:11 | |
We essentially founded Western liberal democracy | 0:41:11 | 0:41:14 | |
in many respects, | 0:41:14 | 0:41:15 | |
and now we are just losing all of it. | 0:41:15 | 0:41:18 | |
Yep. | 0:41:21 | 0:41:22 | |
"Racism", "Islamophobia", | 0:41:22 | 0:41:24 | |
all these terms, | 0:41:24 | 0:41:26 | |
they mean nothing. | 0:41:26 | 0:41:27 | |
It is just a way of shutting people down | 0:41:27 | 0:41:29 | |
and stopping the discussion, | 0:41:29 | 0:41:31 | |
but I think me and a hell of a lot of other people | 0:41:31 | 0:41:33 | |
have gotten to the point where if you're going to call me racist, | 0:41:33 | 0:41:36 | |
whatever - I don't care. | 0:41:36 | 0:41:37 | |
I know I'm not a racist. I know I'm a culturist. | 0:41:37 | 0:41:39 | |
Although Jack denies it, | 0:41:39 | 0:41:42 | |
his disdain for multiculturalism feels racist to me. | 0:41:42 | 0:41:46 | |
But then we're from very different places. | 0:41:46 | 0:41:49 | |
I grew up in east London, one of the most diverse areas in Britain. | 0:41:49 | 0:41:53 | |
I've asked Jack to meet me here | 0:41:53 | 0:41:55 | |
to try and get a better understanding of his views. | 0:41:55 | 0:41:58 | |
-Hi. -Hello. Hi, Jack. Nice to meet you. | 0:41:58 | 0:42:00 | |
Ow, that really hurt! | 0:42:00 | 0:42:02 | |
That was like a proper, strong handshake. | 0:42:02 | 0:42:04 | |
Anyway... | 0:42:04 | 0:42:06 | |
-So, we are here in Queen's Market, which is in Upton Park... -Yeah. | 0:42:06 | 0:42:10 | |
..which actually isn't too far away from where I grew up, | 0:42:10 | 0:42:13 | |
so I have been to this market a fair few times. | 0:42:13 | 0:42:15 | |
-Have you ever been here before? -No. No, I haven't. | 0:42:15 | 0:42:18 | |
Do you know this area at all? | 0:42:18 | 0:42:19 | |
-Not at all. -OK. So, what are your first impressions of here? | 0:42:19 | 0:42:22 | |
-It's a completely different world. -Really? -Yeah. | 0:42:22 | 0:42:25 | |
A completely different world to what, to the world that you know? | 0:42:25 | 0:42:28 | |
To England. | 0:42:28 | 0:42:29 | |
No, no. This is definitely England. We're in England right now. | 0:42:29 | 0:42:32 | |
Arguably. It doesn't seem like it. | 0:42:32 | 0:42:34 | |
Why doesn't it seem like England? | 0:42:34 | 0:42:36 | |
I see very few English people. | 0:42:36 | 0:42:38 | |
The whole place has just been transformed. | 0:42:38 | 0:42:40 | |
So when you say that you look around and see very few English people, | 0:42:40 | 0:42:44 | |
how do you know that you might see someone like me | 0:42:44 | 0:42:46 | |
and you might not necessarily identify me as English | 0:42:46 | 0:42:48 | |
but I am English? | 0:42:48 | 0:42:50 | |
-Oh, course, by nationality, yeah. -But I was born here. -Yes. | 0:42:50 | 0:42:53 | |
-I'm as English as you are. -Yes, but think about it. | 0:42:53 | 0:42:56 | |
-All people have a native homeland. -My native homeland is here. | 0:42:56 | 0:43:01 | |
-No, it's not. -Native means natality, it means where you were born, right? | 0:43:01 | 0:43:05 | |
No, my native homeland, my historic homeland, is Western Europe. | 0:43:05 | 0:43:09 | |
I'm not saying you're any less British, that's not what I'm saying, | 0:43:09 | 0:43:12 | |
but what I am saying is you're not an indigenous British person. | 0:43:12 | 0:43:15 | |
'It feels like Jack believes my race | 0:43:15 | 0:43:18 | |
'means I don't belong here as much as him, | 0:43:18 | 0:43:20 | |
'but I feel every bit as British as he does.' | 0:43:20 | 0:43:23 | |
I have British values. My parents emigrated to this country | 0:43:23 | 0:43:27 | |
-and they have British values. -Yes. -Right? | 0:43:27 | 0:43:29 | |
So what you want is Western European ideals, but you're saying | 0:43:29 | 0:43:31 | |
I'm not Western European even though I am assimilated. | 0:43:31 | 0:43:34 | |
Not ethnically, no, culturally... | 0:43:34 | 0:43:36 | |
So why do you care about my ethnicity? | 0:43:36 | 0:43:37 | |
-Why does it mean that me and you are different? -No, because when... | 0:43:37 | 0:43:41 | |
There are two fundamental ways of describing someone who is British. | 0:43:41 | 0:43:44 | |
For instance, you're either a Western European ethnically, | 0:43:44 | 0:43:47 | |
or you're a Western European | 0:43:47 | 0:43:48 | |
in that you have a passport and you subscribe to the ideals. | 0:43:48 | 0:43:50 | |
-I'm not just living in Britain, I was born here, this is my country. -Yeah. | 0:43:50 | 0:43:54 | |
We're getting past the facts here. | 0:43:54 | 0:43:55 | |
You're saying, "Oh, it's horrible for you to point out a fact | 0:43:55 | 0:43:58 | |
-"that I'm not ethnically..." -I'm not saying it's horrible. | 0:43:58 | 0:44:01 | |
-Well, why not? -I'm saying it's irrelevant and every time you do it, | 0:44:01 | 0:44:04 | |
it undermines my identity. | 0:44:04 | 0:44:05 | |
-You're saying... -Well, that's YOUR problem. | 0:44:05 | 0:44:07 | |
That's not MY problem. | 0:44:07 | 0:44:09 | |
Fundamentally, you have different experiences to me. | 0:44:09 | 0:44:12 | |
I have different experiences to you. | 0:44:12 | 0:44:13 | |
Some people assimilate, but a significant majority do not. | 0:44:13 | 0:44:17 | |
Yeah, lots of Londoners were brought up in this multicultural scenario | 0:44:17 | 0:44:20 | |
and many of them are brainwashed into saying, | 0:44:20 | 0:44:22 | |
"It's brilliant, it's brilliant." | 0:44:22 | 0:44:23 | |
I'm sorry, the world isn't perfect, it's not. | 0:44:23 | 0:44:25 | |
We try and make it perfect as possible with our Western ideals | 0:44:25 | 0:44:28 | |
and our freedom and our liberty. | 0:44:28 | 0:44:30 | |
I can hear how angry you are, how frustrated you are. | 0:44:30 | 0:44:33 | |
-It's very visible. -What can we do | 0:44:33 | 0:44:35 | |
when we're constantly bombarded as being racist and evil. | 0:44:35 | 0:44:37 | |
I'm sorry, I don't hate people because of their race. | 0:44:37 | 0:44:40 | |
I look at a real and serious threat and I want to tackle it. | 0:44:40 | 0:44:42 | |
So it's been an interesting day with Jack. | 0:44:42 | 0:44:44 | |
On the one hand, actually, I really do understand why someone | 0:44:44 | 0:44:47 | |
who comes from a majority white part of Britain | 0:44:47 | 0:44:49 | |
would arrive here and almost have a bit of a culture shock here, | 0:44:49 | 0:44:51 | |
to feel really, really out of place, so I can empathise with that. | 0:44:51 | 0:44:55 | |
When it comes to his political views, | 0:44:55 | 0:44:58 | |
I really, really do actually think that he probably doesn't think | 0:44:58 | 0:45:01 | |
he's a racist and I think he thinks all of his views | 0:45:01 | 0:45:03 | |
are just about culture and immigration, | 0:45:03 | 0:45:06 | |
but when it comes down to it, his insistence, his constant refusal | 0:45:06 | 0:45:10 | |
to acknowledge my Western European culture, | 0:45:10 | 0:45:12 | |
felt pretty racist to me. | 0:45:12 | 0:45:14 | |
He was more interested in the fact that I'm not white | 0:45:14 | 0:45:16 | |
than the fact that I was born here | 0:45:16 | 0:45:18 | |
and that to me is incredibly offensive. | 0:45:18 | 0:45:20 | |
All the people I've met on this journey, whatever their colour | 0:45:25 | 0:45:28 | |
or religion, have felt that racism is an issue in the UK. | 0:45:28 | 0:45:30 | |
But does it affect every aspect of our lives? | 0:45:32 | 0:45:35 | |
I'm here to find out whether race matters to these people | 0:45:48 | 0:45:51 | |
when they're picking a date. | 0:45:51 | 0:45:52 | |
You can't wait to see these pictures. | 0:45:54 | 0:45:56 | |
You're like, "I want to see these women." Right, we'll start off | 0:45:56 | 0:45:59 | |
with this woman. Is this someone who you find attractive? | 0:45:59 | 0:46:02 | |
-No. -No. | 0:46:02 | 0:46:04 | |
-This one? -No. -No. | 0:46:04 | 0:46:05 | |
Picky. You're picky. | 0:46:05 | 0:46:07 | |
-What about this one? -Oh, he's all right. | 0:46:07 | 0:46:10 | |
Yeah, he's got a nice beard. | 0:46:10 | 0:46:11 | |
-What do you think about him? -Um... | 0:46:11 | 0:46:13 | |
No, I don't think so. | 0:46:13 | 0:46:15 | |
No, not for you? | 0:46:15 | 0:46:17 | |
-Him? -No. -No. | 0:46:17 | 0:46:19 | |
-What do you think about her? -Yes, she's good. | 0:46:19 | 0:46:22 | |
You would, wouldn't you? | 0:46:22 | 0:46:24 | |
THEY LAUGH | 0:46:24 | 0:46:25 | |
Maybe. Maybe, like, one or two dates. | 0:46:25 | 0:46:29 | |
-No. -No. -Yeah. -OK, so would you say there is any sort of pattern | 0:46:29 | 0:46:33 | |
in the sort of women that you going for there? | 0:46:33 | 0:46:36 | |
Yeah, particular interest towards white women, mixed race women. | 0:46:36 | 0:46:40 | |
There were women from different ethnicities that I found attractive. | 0:46:40 | 0:46:43 | |
but I'm thinking about who my friends are, what things I do. | 0:46:43 | 0:46:49 | |
Cos I'm from Nigeria and I'm very connected to that culture, | 0:46:49 | 0:46:52 | |
so I'm thinking, "Is there compatibility there?" | 0:46:52 | 0:46:55 | |
He's good-looking, but I don't think I'd go there, no. | 0:46:58 | 0:47:01 | |
For me, I've never really thought about dating anybody who's black. | 0:47:01 | 0:47:06 | |
It's never come across my mind and I... | 0:47:06 | 0:47:08 | |
-Even though you are attracted to him? -Yeah. | 0:47:08 | 0:47:10 | |
You said you thought he was attractive. | 0:47:10 | 0:47:12 | |
Yeah, he's attractive. | 0:47:12 | 0:47:13 | |
I'll always appreciate someone who's attractive, | 0:47:13 | 0:47:15 | |
but being in a big Indian family, you have to think about | 0:47:15 | 0:47:17 | |
your wider extension and the network of the family as well. | 0:47:17 | 0:47:20 | |
I wouldn't want to bring someone home | 0:47:20 | 0:47:22 | |
that I know my parents would have an issue with. | 0:47:22 | 0:47:24 | |
Probably not. I think culturally and religiously we'd clash. | 0:47:25 | 0:47:30 | |
I'm not really religious, I'm not practising. | 0:47:30 | 0:47:33 | |
If somebody was, like, "Oh, I'm quite a strong Muslim," | 0:47:33 | 0:47:36 | |
their family might not want me in their family. | 0:47:36 | 0:47:38 | |
-I just really don't find him attractive at all. -All right, OK. | 0:47:38 | 0:47:41 | |
-What about him? -Yeah. -Yeah. | 0:47:41 | 0:47:44 | |
No. | 0:47:44 | 0:47:45 | |
I don't see how I could ever be accepted into that community. | 0:47:45 | 0:47:50 | |
Yeah, but it's like a half-hearted yeah. | 0:47:50 | 0:47:53 | |
-Why is it a half-hearted yeah? -It's just cos, like, naturally... | 0:47:53 | 0:47:57 | |
cos she's Indian, like, subconsciously, you answer yeah. | 0:47:57 | 0:48:00 | |
-So subconsciously you're always attracted to Indian women? -Yeah. | 0:48:00 | 0:48:04 | |
I think, like, regardless of what background you're from, | 0:48:04 | 0:48:07 | |
you're always going to be attracted to the same race, religion, culture. | 0:48:07 | 0:48:10 | |
I've actually never dated a black guy, but he is really good-looking. | 0:48:12 | 0:48:15 | |
Would it be fair to say that your type tends to be more white | 0:48:15 | 0:48:17 | |
even though you're open-minded about dating people of other races? | 0:48:17 | 0:48:20 | |
Well, yeah, probably, cos that's been my experience, | 0:48:20 | 0:48:23 | |
because my circle of friends doesn't include many black people. | 0:48:23 | 0:48:27 | |
I just... I don't come into contact and I think that being... | 0:48:27 | 0:48:31 | |
Like, attraction comes from a place that is, you know, | 0:48:31 | 0:48:37 | |
what you're used to coming into contact with. | 0:48:37 | 0:48:40 | |
Love isn't blind when it comes to race. | 0:48:41 | 0:48:43 | |
I looked at the behaviour of 25 million users | 0:48:43 | 0:48:46 | |
of an online dating site and it was very clear that race matters. | 0:48:46 | 0:48:49 | |
See, white men do really well. | 0:48:49 | 0:48:51 | |
By that I mean they're more likely to get responses to their messages | 0:48:51 | 0:48:54 | |
than black or Asian men. | 0:48:54 | 0:48:55 | |
And white women do really well too. | 0:48:55 | 0:48:57 | |
And out of all of the groups that I looked at, black women | 0:48:57 | 0:49:00 | |
were the least likely to get a response to one of their messages. | 0:49:00 | 0:49:02 | |
Race clearly plays a big part in the way we view each other, | 0:49:07 | 0:49:11 | |
but are my prejudices fixed for life? | 0:49:11 | 0:49:13 | |
I've come back to see Professor Manos Tsakiris. | 0:49:16 | 0:49:19 | |
He's got an amazing idea which he says can change the way I think. | 0:49:19 | 0:49:22 | |
-Hello. Hi, Manos, how are you? -I'm good, how are you? | 0:49:25 | 0:49:28 | |
-Nice to see you again. -Thanks for coming. -Thanks for having me. | 0:49:28 | 0:49:31 | |
-So we're going to do an experiment that has three parts. -Yep. | 0:49:31 | 0:49:34 | |
The first part you're going to do | 0:49:34 | 0:49:36 | |
-is known as the implicit association test. -Mm-hm. | 0:49:36 | 0:49:38 | |
After that we're going to do a task which we call self-association. | 0:49:38 | 0:49:42 | |
Basically, what it involves | 0:49:42 | 0:49:44 | |
-is you imagining that you're a different person. -I'm going to be | 0:49:44 | 0:49:47 | |
-a black woman, aren't I? -You're going to be a black woman, yes. -OK. | 0:49:47 | 0:49:49 | |
After that, we're going to give you one more time the IAT. | 0:49:49 | 0:49:52 | |
Again, we're going to measure your implicit attitudes | 0:49:52 | 0:49:55 | |
towards black and white people. | 0:49:55 | 0:49:57 | |
OK, white face - Z key, black face - M key. | 0:49:57 | 0:50:01 | |
'Now it's my turn to have my unconscious prejudices examined.' | 0:50:01 | 0:50:06 | |
Good, bad. | 0:50:06 | 0:50:08 | |
All right, I'm done with that bit, Manos, what's next? | 0:50:08 | 0:50:12 | |
Excellent. So we can move to the next task. | 0:50:12 | 0:50:15 | |
'So this is the part where I've got to imagine I'm a black woman. | 0:50:16 | 0:50:19 | |
'Manos is going to use a range of techniques to get me | 0:50:19 | 0:50:22 | |
'to make this leap. | 0:50:22 | 0:50:24 | |
'In this bizarre set-up, my real hand, which I can't see, | 0:50:28 | 0:50:31 | |
'is being stroked at exactly the same time as the black rubber hand | 0:50:31 | 0:50:35 | |
in front of me, to trick my brain into thinking | 0:50:35 | 0:50:37 | |
'that the black rubber hand is mine.' | 0:50:37 | 0:50:40 | |
So how does it feel? | 0:50:40 | 0:50:42 | |
Hmm. Ticklish. | 0:50:43 | 0:50:45 | |
'As odd as this seems, it's actually working.' | 0:50:45 | 0:50:48 | |
It felt like it was my own hand. Yeah. | 0:50:49 | 0:50:53 | |
'Another technique involves me imagining that I'm a black woman | 0:50:53 | 0:50:56 | |
'pictured on the computer.' | 0:50:56 | 0:50:58 | |
So I am the black woman, | 0:50:58 | 0:51:02 | |
the stranger is the white woman. | 0:51:02 | 0:51:04 | |
'Before the experiment continues, | 0:51:05 | 0:51:07 | |
'Manos has to check that I really am imagining I'm a black woman. | 0:51:07 | 0:51:10 | |
-Er... -Yay, I did well! -Yes, so your accuracy was very high | 0:51:12 | 0:51:16 | |
for the self-associated phase. | 0:51:16 | 0:51:19 | |
So your performance shows you're good at imagining | 0:51:19 | 0:51:23 | |
that you're this new black person. | 0:51:23 | 0:51:25 | |
OK, now let's have a look at the IAT. | 0:51:25 | 0:51:28 | |
'Manos is testing whether my negative associations | 0:51:30 | 0:51:33 | |
'about black people have changed. | 0:51:33 | 0:51:35 | |
'I'm sceptical that my deep-rooted beliefs can be shifted so easily.' | 0:51:35 | 0:51:39 | |
-Finished. -Excellent, so shall we have a look at the results? | 0:51:39 | 0:51:43 | |
-Yes, please. -OK. | 0:51:43 | 0:51:44 | |
'Did the face association work?' | 0:51:44 | 0:51:46 | |
So this is going to be your score | 0:51:46 | 0:51:48 | |
before you did the self-association task. | 0:51:48 | 0:51:51 | |
What you can see here is a very small preference | 0:51:51 | 0:51:55 | |
of white people over black. | 0:51:55 | 0:51:57 | |
Now the important thing is how this value changes | 0:51:57 | 0:52:01 | |
after you've done the self-association task, | 0:52:01 | 0:52:03 | |
after you've imagined you are this new black woman. | 0:52:03 | 0:52:06 | |
And what you find here is that basically | 0:52:06 | 0:52:09 | |
this eliminates the preference of white over black people. | 0:52:09 | 0:52:13 | |
So I'm pleased by the fact that this experiment somehow changed me | 0:52:13 | 0:52:17 | |
and lessened my racial biases | 0:52:17 | 0:52:19 | |
but now I'm like, "How long can I keep this up for?" | 0:52:19 | 0:52:21 | |
Does this mean that for the rest of my life | 0:52:21 | 0:52:23 | |
I'm not going to express any kind of preference | 0:52:23 | 0:52:25 | |
of white people over black people? | 0:52:25 | 0:52:27 | |
Um, I don't think that's right. | 0:52:27 | 0:52:30 | |
What about if I do the test every day? | 0:52:30 | 0:52:32 | |
If you do it every day, maybe. The answer is that we don't know. | 0:52:32 | 0:52:35 | |
Of course, it's a very important question, | 0:52:35 | 0:52:37 | |
but bear in mind already it is a surprising finding, | 0:52:37 | 0:52:41 | |
that you can so quickly associate yourself with new things. | 0:52:41 | 0:52:44 | |
In that case you've imagined being a black woman | 0:52:44 | 0:52:48 | |
and your brain very fast takes this new information into account, | 0:52:48 | 0:52:53 | |
and you process this information in a very special way. | 0:52:53 | 0:52:57 | |
It was really, really interesting. Thank you. | 0:52:57 | 0:53:00 | |
It's been a privilege to be able to take the test. | 0:53:00 | 0:53:03 | |
I'm slightly relieved that my starting point | 0:53:03 | 0:53:05 | |
wasn't that I was a massive racist, | 0:53:05 | 0:53:07 | |
in terms of having really, really strong associations. | 0:53:07 | 0:53:10 | |
So it was quite nice that I had a slight preference | 0:53:10 | 0:53:13 | |
towards white people - slight is better than a lot, I guess. | 0:53:13 | 0:53:16 | |
And then I was really, really relieved that the experiment | 0:53:16 | 0:53:20 | |
managed to sort of erase what those associations are. | 0:53:20 | 0:53:23 | |
That's good news, I guess, but the fact he wasn't able to answer | 0:53:23 | 0:53:26 | |
how long that's going to stick around for is sort of worrying. | 0:53:26 | 0:53:28 | |
Am I just going to wake up tomorrow morning | 0:53:28 | 0:53:31 | |
and be back to slightly preferring white people over black people? | 0:53:31 | 0:53:34 | |
That's not exactly a happy result for me, you know. | 0:53:34 | 0:53:37 | |
'It's amazing that our prejudices, learnt over a lifetime, | 0:53:38 | 0:53:42 | |
'can be shifted so quickly. | 0:53:42 | 0:53:44 | |
'But for the moment, this is only being done in the lab. | 0:53:44 | 0:53:47 | |
'It's not being used in the real world.' | 0:53:47 | 0:53:49 | |
Is Britain racist? | 0:53:53 | 0:53:55 | |
The language has changed but the sentiment hasn't. | 0:53:55 | 0:53:58 | |
Rather than someone coming up to you | 0:53:58 | 0:54:00 | |
and saying a negative word or a racist remark, | 0:54:00 | 0:54:03 | |
I think it's more underlying. | 0:54:03 | 0:54:05 | |
When you say your local area's changed, | 0:54:05 | 0:54:09 | |
it doesn't feel English any more, it doesn't feel British any more, | 0:54:09 | 0:54:14 | |
where does that come from? | 0:54:14 | 0:54:16 | |
I think they come from something inside - | 0:54:16 | 0:54:20 | |
a prejudice that people might have. | 0:54:20 | 0:54:22 | |
Being Jewish in Britain is generally a really positive thing. | 0:54:25 | 0:54:30 | |
I find that people, by and large, aren't afraid to go to synagogue | 0:54:30 | 0:54:33 | |
on a Saturday, they aren't afraid to wear emblems | 0:54:33 | 0:54:36 | |
that might mark them out as being visibly Jewish. | 0:54:36 | 0:54:40 | |
On the other hand, when you go into our schools, our synagogues, | 0:54:40 | 0:54:44 | |
and our cultural centres, you'll see that there's security, | 0:54:44 | 0:54:47 | |
that there's barbed wire. | 0:54:47 | 0:54:49 | |
And whilst I think the future for the British Jewish community | 0:54:49 | 0:54:52 | |
is a positive one and a strong one, I'm still nervous | 0:54:52 | 0:54:57 | |
because we've seen that the number of attacks are rising. | 0:54:57 | 0:55:00 | |
I genuinely believe British values are of tolerance, diversity | 0:55:03 | 0:55:07 | |
respecting everyone, but, in practice, | 0:55:07 | 0:55:10 | |
I don't think that's always the case. | 0:55:10 | 0:55:12 | |
I would love to be able to walk anywhere in my home country | 0:55:12 | 0:55:16 | |
and not think about how my mere existence will offend someone. | 0:55:16 | 0:55:20 | |
It's really upsetting when I can't do that. | 0:55:20 | 0:55:23 | |
Life's getting harder...to be a Muslim in Britain. | 0:55:23 | 0:55:27 | |
When I started out on this journey, I thought maybe the statistics | 0:55:32 | 0:55:35 | |
don't quite capture the full extent of racism in Britain, | 0:55:35 | 0:55:37 | |
and seeing the experiences of Richard, Deji and Hanna, | 0:55:37 | 0:55:39 | |
I think that's probably true. | 0:55:39 | 0:55:41 | |
Numbers don't show just how often individuals get targeted, | 0:55:41 | 0:55:43 | |
and they don't reflect the emotional impact of racism either. | 0:55:43 | 0:55:46 | |
But it's not just about outspoken racism, | 0:55:46 | 0:55:49 | |
it's about subconscious prejudices too, | 0:55:49 | 0:55:51 | |
and I include myself in that because my test results showed that | 0:55:51 | 0:55:54 | |
I was capable of holding racist attitudes | 0:55:54 | 0:55:56 | |
even though I'd never deliberately be racist against anyone. | 0:55:56 | 0:55:58 | |
See, society has shaped our brains in racist ways | 0:55:58 | 0:56:02 | |
whether we realise it or not, but if we can acknowledge that, | 0:56:02 | 0:56:04 | |
then we can change it and that's a reason to be hopeful. | 0:56:04 | 0:56:08 |