Browse content similar to Don't Panic - How to End Poverty in 15 Years. Check below for episodes and series from the same categories and more!
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A war that seems to have no end. | 0:00:08 | 0:00:11 | |
An enemy that feels unbeatable. | 0:00:12 | 0:00:16 | |
Extreme poverty. | 0:00:16 | 0:00:18 | |
-BUSH: -'More than half the people of the world are living in conditions | 0:00:18 | 0:00:21 | |
'approaching misery.' | 0:00:21 | 0:00:23 | |
We've had endless campaigning... | 0:00:23 | 0:00:25 | |
-MANDELA: -'They're trapped in the prison of poverty.' | 0:00:25 | 0:00:27 | |
..a tidal wave of appalling images. | 0:00:27 | 0:00:30 | |
-MICHAEL BUERK: -'This place is the closest thing to hell on Earth.' | 0:00:30 | 0:00:33 | |
..decades of aid. | 0:00:33 | 0:00:34 | |
REPORT ON POVERTY IN FRENCH | 0:00:34 | 0:00:37 | |
But such poverty still seems an inevitable condition. | 0:00:37 | 0:00:41 | |
"We have not, we'll always be that way," so many believe. | 0:00:42 | 0:00:47 | |
This world, for them, never to be in an arena of opportunity, | 0:00:47 | 0:00:52 | |
but only ever a place of misery. | 0:00:52 | 0:00:55 | |
I think that that view of our world is wrong. | 0:01:01 | 0:01:06 | |
My name is Hans Rosling. I'm a scientist. | 0:01:06 | 0:01:09 | |
I deal in facts not rhetoric. | 0:01:09 | 0:01:12 | |
But just which one of those two are at the heart of this? | 0:01:12 | 0:01:15 | |
This September, 2015, | 0:01:15 | 0:01:18 | |
almost all the leaders of the 193 member states, | 0:01:18 | 0:01:23 | |
are flying to the United Nations in New York | 0:01:23 | 0:01:26 | |
to sign up for this document. | 0:01:26 | 0:01:28 | |
And, inside, it's nothing less than United Nations' goal | 0:01:28 | 0:01:33 | |
for the world for the next 15 years. | 0:01:33 | 0:01:36 | |
And on top of the list, Goal number 1.1 and I read directly, | 0:01:36 | 0:01:42 | |
"By 2030, eradicate extreme poverty for all people everywhere." | 0:01:42 | 0:01:47 | |
"For all people"? "Everywhere"? "Eradicate"? | 0:01:49 | 0:01:54 | |
In just 15 years? But... | 0:01:54 | 0:01:59 | |
Each of these dots that you can now see on our planet, | 0:01:59 | 0:02:03 | |
they represent ten million people. | 0:02:03 | 0:02:05 | |
That's more than the population of New York City. | 0:02:05 | 0:02:08 | |
And so many dots with ten million each | 0:02:08 | 0:02:11 | |
and all live in extreme poverty. | 0:02:11 | 0:02:14 | |
Have the United Nations gone mad? | 0:02:14 | 0:02:17 | |
Or are they just mouthing empty words? | 0:02:17 | 0:02:21 | |
Or maybe in just 15 years from now, | 0:02:21 | 0:02:24 | |
we'll be holding the greatest goal celebration ever. | 0:02:24 | 0:02:28 | |
Good evening, ladies and gentlemen. | 0:02:41 | 0:02:43 | |
I think we'll start with a little quiz. | 0:02:43 | 0:02:46 | |
I'm going to ask you three questions about the world, | 0:02:54 | 0:02:57 | |
because I want to know about how much you know about poverty | 0:02:57 | 0:03:00 | |
and how much you understand of the size of the challenge that is ahead. | 0:03:00 | 0:03:05 | |
So, let's now go for the first question. | 0:03:05 | 0:03:07 | |
How many people out of ten in the world as a whole, | 0:03:09 | 0:03:13 | |
have electricity at home? | 0:03:13 | 0:03:14 | |
Is it one out of ten? That's 10%. | 0:03:14 | 0:03:18 | |
Is it two, three, four, five? Five means 50%, half of them. | 0:03:18 | 0:03:22 | |
Or is it six, seven, eight, nine? | 0:03:22 | 0:03:25 | |
I'll give you one little hint, it's not ten. | 0:03:25 | 0:03:28 | |
It's not everyone. | 0:03:28 | 0:03:30 | |
So, out of the others, please answer. | 0:03:31 | 0:03:34 | |
You see, basic infrastructure, like electricity, | 0:03:36 | 0:03:39 | |
is so important in ending extreme poverty. | 0:03:39 | 0:03:42 | |
OK. So, we can move onto the next question. | 0:03:44 | 0:03:48 | |
And that question is about health service. Look. | 0:03:48 | 0:03:51 | |
How many children out of ten in the world as a whole, | 0:03:54 | 0:03:57 | |
have got vaccinated against measles? | 0:03:57 | 0:04:00 | |
Measles is a deadly disease for malnourished children, | 0:04:05 | 0:04:08 | |
but many in the rich countries don't know that. | 0:04:08 | 0:04:11 | |
Thank you very much. My third question is about education. | 0:04:13 | 0:04:17 | |
In the world as a whole, | 0:04:20 | 0:04:22 | |
how many girls out of ten go to primary school? | 0:04:22 | 0:04:25 | |
That is girl in that age group. Please answer. | 0:04:25 | 0:04:28 | |
Research convincingly shows that education is crucial to end | 0:04:31 | 0:04:36 | |
extreme poverty, especially for girls. | 0:04:36 | 0:04:38 | |
Here we have all of you. Thank you very much. | 0:04:43 | 0:04:47 | |
So, what did you answer? And what were the right answers? | 0:04:47 | 0:04:52 | |
For that, I'm sorry, you will have to wait. | 0:04:52 | 0:04:54 | |
But I hope that this quiz got you thinking. | 0:04:56 | 0:04:59 | |
What do we mean when we talk about poverty? | 0:04:59 | 0:05:02 | |
Because it seems everyone has their own idea. | 0:05:02 | 0:05:05 | |
When we're at home, nobody knows that we're poor. | 0:05:07 | 0:05:09 | |
We're poor. We don't know if we can go to university. | 0:05:14 | 0:05:19 | |
-TRANSLATION: -'We're so poor. We became homeless.' | 0:05:19 | 0:05:22 | |
"I'm so poor now. I'm living on cornflakes," says Craig. | 0:05:22 | 0:05:26 | |
We are poor, but we're not poor what we were ten years ago. | 0:05:26 | 0:05:29 | |
I'm poor. I'm the breadline. | 0:05:29 | 0:05:32 | |
It's tricky, isn't it? People are poor in so many ways. | 0:05:37 | 0:05:41 | |
But look at this. | 0:05:41 | 0:05:43 | |
This is... I call it my yardstick of income. | 0:05:43 | 0:05:46 | |
The poorest people in the world, | 0:05:46 | 0:05:49 | |
they live down here | 0:05:49 | 0:05:51 | |
on one dollar a day, more or less. | 0:05:51 | 0:05:52 | |
If you go to the middle, we find incomes of about ten dollars a day. | 0:05:52 | 0:05:58 | |
Everyone in the world lives somewhere on this line. | 0:05:58 | 0:06:02 | |
And I, I'm a professor in a relatively rich country, | 0:06:02 | 0:06:05 | |
so my income is up on this nice end of the line, you know. | 0:06:05 | 0:06:10 | |
People like me, they earn about a 100 dollars a day. | 0:06:10 | 0:06:14 | |
And some earn even more because there is no end of this line. | 0:06:14 | 0:06:17 | |
It just continues like this. | 0:06:17 | 0:06:19 | |
Now, I come from beautiful Sweden | 0:06:19 | 0:06:23 | |
and this bubble can represent the ten million people in Sweden. | 0:06:23 | 0:06:27 | |
So, the question is, where is Sweden on this income line? | 0:06:27 | 0:06:32 | |
I will drop it down and show you. | 0:06:32 | 0:06:35 | |
This is the average income in Sweden. | 0:06:35 | 0:06:38 | |
But everyone doesn't have the same income. | 0:06:38 | 0:06:40 | |
Some people earn less and some earn more. | 0:06:40 | 0:06:43 | |
And the richest of Sweden, you know, they love to have really | 0:06:43 | 0:06:48 | |
big boats and they drink very costly wines and they want to | 0:06:48 | 0:06:52 | |
have their own horse to ride. | 0:06:52 | 0:06:54 | |
But we also have poverty in Sweden and like other countries, | 0:06:54 | 0:06:58 | |
we also have a poverty line. | 0:06:58 | 0:07:00 | |
Now, to find that poverty line, what we do, is that we first look | 0:07:00 | 0:07:04 | |
up the middle income, where half the people are that way and half, | 0:07:04 | 0:07:08 | |
the less fortunate are that way. | 0:07:08 | 0:07:11 | |
And then the poverty line is set here. | 0:07:11 | 0:07:13 | |
A little less than half of the mid-income. | 0:07:13 | 0:07:17 | |
Now, living in this end in Sweden is tough. | 0:07:17 | 0:07:20 | |
People here can't fully participate in the Swedish society. | 0:07:20 | 0:07:25 | |
And yet, we call this line "relative poverty". | 0:07:25 | 0:07:29 | |
And the reason for that is that the line moves. | 0:07:29 | 0:07:32 | |
When the mid income goes up in Sweden, | 0:07:32 | 0:07:35 | |
then the relative poverty follows. | 0:07:35 | 0:07:38 | |
It really measures inequality. | 0:07:38 | 0:07:40 | |
Now, I'm going to show you a completely different type of poverty, | 0:07:41 | 0:07:46 | |
which is down here. | 0:07:46 | 0:07:47 | |
Just a little more than one dollar. It's called "extreme poverty". | 0:07:47 | 0:07:51 | |
The exact position depends on the value of the dollar. | 0:07:51 | 0:07:54 | |
But the meaning here is clear and this doesn't change. | 0:07:54 | 0:07:58 | |
This is about the daily struggle to get enough to eat. | 0:07:58 | 0:08:02 | |
It's about survival and you can't live further down there, | 0:08:02 | 0:08:05 | |
because then, you die. | 0:08:05 | 0:08:07 | |
Now, let me show you Malawi. | 0:08:07 | 0:08:10 | |
Malawi is a country, one of the poorest in the world, | 0:08:10 | 0:08:13 | |
which has about the same size of the population as Sweden. | 0:08:13 | 0:08:16 | |
It's in south-east Africa. | 0:08:16 | 0:08:18 | |
And now, I take down Malawi on this income line. | 0:08:18 | 0:08:21 | |
This is the average income of Malawi and when I spread it out, | 0:08:21 | 0:08:24 | |
it's like this. | 0:08:24 | 0:08:26 | |
What a difference! | 0:08:26 | 0:08:28 | |
All most everyone in Malawi has less income than the poorest in Sweden. | 0:08:28 | 0:08:33 | |
And, you know, I love Malawi. | 0:08:33 | 0:08:36 | |
It's a peaceful, beautiful country with hard-working, very kind people. | 0:08:36 | 0:08:43 | |
Its nickname is the Warm Heart of Africa. | 0:08:43 | 0:08:46 | |
But yet, most people in Malawi live here in extreme poverty. | 0:08:46 | 0:08:51 | |
What does that mean for them day to day? | 0:08:51 | 0:08:53 | |
This is the village of Ntchena Chena in the remote corner of the north. | 0:08:58 | 0:09:02 | |
It's home to Dunster, Janet and their children. | 0:09:02 | 0:09:05 | |
It's 5am. Janet is preparing breakfast. | 0:09:07 | 0:09:11 | |
The couple have 11 children. | 0:09:28 | 0:09:31 | |
The younger ones, four girls and three boys, still live at home. | 0:09:31 | 0:09:35 | |
Near Dunster and Janet's house, is their small field of maize. | 0:10:07 | 0:10:12 | |
They're entirely dependent on it for their daily food. | 0:10:12 | 0:10:15 | |
Very soon, it'll be the time for the harvest. | 0:10:18 | 0:10:20 | |
The lynchpin of the family economy. | 0:10:20 | 0:10:22 | |
If the harvest is good, they may even have enough to sell a little. | 0:10:22 | 0:10:26 | |
But most years, like for so many other poor farmers the world over, | 0:10:28 | 0:10:33 | |
there will be a time when the food runs out. | 0:10:33 | 0:10:36 | |
They call it the "hunger season". | 0:10:36 | 0:10:38 | |
The children go to school half an hour's walk away. | 0:11:37 | 0:11:40 | |
Primary education is free in Malawi. | 0:11:40 | 0:11:43 | |
But Janet and Dunster struggle to pay for school uniforms and books. | 0:11:43 | 0:11:48 | |
We're going to march, starting left, left, right. | 0:11:51 | 0:11:57 | |
Left, right, left, right, left right, left, right, left, right. | 0:11:57 | 0:12:01 | |
Stand right. | 0:12:01 | 0:12:03 | |
There are no school meals here, so no food till home time. | 0:12:04 | 0:12:08 | |
We are happy. Read it. | 0:12:12 | 0:12:14 | |
-CHILDREN: -We are happy. | 0:12:14 | 0:12:20 | |
Thank you very much. We are happy today. | 0:12:20 | 0:12:23 | |
There are few jobs in the area and barely an economy to speak of. | 0:12:24 | 0:12:29 | |
But Dunster and Janet keep grafting to raise whatever cash | 0:12:29 | 0:12:33 | |
they can for their family. | 0:12:33 | 0:12:36 | |
Dunster turns old bits of tin into pots | 0:12:36 | 0:12:39 | |
and watering cans to sell to his neighbours. | 0:12:39 | 0:12:42 | |
Then the cash he earns is invested in a venture of Janet's. | 0:12:43 | 0:12:47 | |
So, today, the couple trek an hour and a half to the nearest shop. | 0:12:50 | 0:12:54 | |
They're after oil and flour. | 0:12:54 | 0:12:56 | |
With these provisions, Janet makes 100 doughnuts. | 0:12:58 | 0:13:02 | |
She's the doughnut queen in her area. | 0:13:03 | 0:13:05 | |
If she sells the entire batch, she will net enough profit to | 0:13:13 | 0:13:18 | |
feed her family for three days during the hunger season. | 0:13:18 | 0:13:21 | |
But her customers are too poor for her business | 0:13:22 | 0:13:25 | |
to be anything other than occasion. | 0:13:25 | 0:13:28 | |
At home, there's no running water or electrical supply. | 0:13:35 | 0:13:40 | |
But Dunster makes the most of what he has. | 0:13:40 | 0:13:43 | |
Once a week, Janet has to spread fresh mud on the floor | 0:14:13 | 0:14:17 | |
and walls to keep their house from falling apart. | 0:14:17 | 0:14:21 | |
But Dunster is determined to change that. | 0:14:21 | 0:14:24 | |
He's building a new home with strong fired bricks he's made himself. | 0:14:24 | 0:14:30 | |
Here, bedroom. Here, dining room. | 0:14:30 | 0:14:34 | |
And bedroom. | 0:14:34 | 0:14:36 | |
Bedroom. Sitting room. | 0:14:36 | 0:14:39 | |
Then stores and then bedroom. | 0:14:39 | 0:14:42 | |
It's taken Dunster two years to get this far. | 0:14:48 | 0:14:51 | |
It will take him at least four years more to finish and even then, | 0:14:51 | 0:14:56 | |
only if he can somehow earn the money for timber | 0:14:56 | 0:14:59 | |
and iron sheets for the roof and cement for the floor. | 0:14:59 | 0:15:02 | |
Dunster and Janet face such a struggle to get anywhere, | 0:15:15 | 0:15:20 | |
but in spite of their problems, they really try to | 0:15:20 | 0:15:23 | |
build their future brick by brick. | 0:15:23 | 0:15:26 | |
Now, how does their life compare to with those who are rich? | 0:15:26 | 0:15:29 | |
Welcome to Dollar Street. | 0:15:31 | 0:15:34 | |
Imagine that all homes of the world lined up on one street, with | 0:15:34 | 0:15:38 | |
those with lowest income on this side | 0:15:38 | 0:15:40 | |
and then people with nicer and higher income all the way up here. | 0:15:40 | 0:15:44 | |
My wife and I, we live somewhere here. | 0:15:46 | 0:15:50 | |
This is our house. | 0:15:50 | 0:15:52 | |
A cosy little redwood house that we Swedes love. | 0:15:52 | 0:15:56 | |
And this is our living room. | 0:15:56 | 0:15:59 | |
This is our kitchen and here is our bathroom. Quite nice, eh? | 0:16:00 | 0:16:04 | |
It's so far to walk down this Dollar Street all the way down here | 0:16:05 | 0:16:11 | |
to Janet and Dunster, who's there, in the other far end. | 0:16:11 | 0:16:15 | |
This is their house. | 0:16:15 | 0:16:17 | |
This is their sofa and their living room. | 0:16:17 | 0:16:21 | |
This is their kitchen and this is their bathroom. | 0:16:21 | 0:16:25 | |
I can really understand that they want to build a new house. | 0:16:26 | 0:16:30 | |
At the Gapminder Foundation where I work, | 0:16:30 | 0:16:32 | |
my colleagues are building Dollar Street to show | 0:16:32 | 0:16:36 | |
the difference in living situations across the world. | 0:16:36 | 0:16:39 | |
We're recording more than 100 different things in each home | 0:16:39 | 0:16:43 | |
and we've been to almost 200 homes in more than 30 countries, | 0:16:43 | 0:16:48 | |
from the poorest to the richest and the many in between. | 0:16:48 | 0:16:52 | |
Let's use that to go and visit Dunster and Janet's neighbours. | 0:16:52 | 0:16:56 | |
Now, neighbours that live in different parts of the world, | 0:16:57 | 0:17:01 | |
but all on the same very modest income. | 0:17:01 | 0:17:05 | |
Here are the Kabura family, farmers in Burundi. | 0:17:05 | 0:17:09 | |
And this is the Chowdhury family in India. | 0:17:09 | 0:17:13 | |
They're in west Bengal working picking coconuts. | 0:17:13 | 0:17:16 | |
And here is Antonios family in Zimbabwe. | 0:17:16 | 0:17:20 | |
And this is the Geenkais, farmers in Papua New Guinea. | 0:17:20 | 0:17:25 | |
Now, these are their homes. | 0:17:25 | 0:17:27 | |
They're all built by non-durable material. | 0:17:29 | 0:17:33 | |
These are fragile walls. | 0:17:33 | 0:17:35 | |
The roofs are made of grass or leaves. | 0:17:35 | 0:17:39 | |
Now, many Swedes, they love to go on holidays to eco lodges. | 0:17:39 | 0:17:44 | |
And these eco lodges are often built to look like these houses. | 0:17:45 | 0:17:50 | |
Because people are sort of rich, they think this is charming. | 0:17:50 | 0:17:53 | |
But don't be fooled. | 0:17:53 | 0:17:55 | |
All these families would love to have a new house | 0:17:55 | 0:17:59 | |
built of bricks with a tin roof. | 0:17:59 | 0:18:02 | |
Now, look here. | 0:18:02 | 0:18:04 | |
I'm lucky, you know, to have a bedroom | 0:18:04 | 0:18:06 | |
that I only share with my wife. | 0:18:06 | 0:18:08 | |
Here, people sleep on the floor, the floor, the floor, the floor. | 0:18:10 | 0:18:14 | |
And the whole family sleeps together in the same room. | 0:18:14 | 0:18:18 | |
And we asked these families, "What was their dream to buy next?" | 0:18:18 | 0:18:22 | |
The Kaburas, they said, "We dream to buy a bed." | 0:18:22 | 0:18:25 | |
And the Antonios, they said, "Oh, we hope to buy a blanket." | 0:18:25 | 0:18:30 | |
This is what it's like when you have just enough to survive. | 0:18:32 | 0:18:36 | |
Very difficult to buy much to make life more healthy, | 0:18:36 | 0:18:39 | |
productive or comfortable. | 0:18:39 | 0:18:42 | |
These Dollar Street neighbours live in different countries | 0:18:43 | 0:18:46 | |
with different cultures. | 0:18:46 | 0:18:49 | |
But they all have the same basic needs. | 0:18:49 | 0:18:51 | |
And they completely lack almost all the same basic things. | 0:18:51 | 0:18:55 | |
In such poverty, small things become so significant. | 0:18:57 | 0:19:01 | |
At the poorest end of Dollar Street, only a few, | 0:19:01 | 0:19:04 | |
like the Antonios from Zimbabwe, | 0:19:04 | 0:19:06 | |
have enough cash to splash out on a real toothbrush, | 0:19:06 | 0:19:10 | |
which everyone in the family now eagerly shares. | 0:19:10 | 0:19:13 | |
So, know we've got a glimpse on how life is in extreme poverty. | 0:19:16 | 0:19:21 | |
I hope you all agree on the importance | 0:19:21 | 0:19:23 | |
of United Nations' Goal 1.1. | 0:19:23 | 0:19:28 | |
But is that goal just a dream? | 0:19:28 | 0:19:30 | |
Or is it any possibility to achieve it? | 0:19:30 | 0:19:33 | |
Bring on my giant poverty tracker! | 0:19:33 | 0:19:36 | |
We need to know how big the problem is. | 0:19:37 | 0:19:40 | |
We need to know if it's getting worse or if it's getting better? | 0:19:40 | 0:19:43 | |
Time to look at data. | 0:19:43 | 0:19:45 | |
I'm going to build a graph for you with my bare hands. | 0:19:45 | 0:19:49 | |
We Swedes are quite good at self-assembly furniture, huh? | 0:19:50 | 0:19:54 | |
This shows the percent in extreme poverty in the world. | 0:19:57 | 0:20:02 | |
0%. | 0:20:02 | 0:20:04 | |
50%. | 0:20:04 | 0:20:05 | |
And 100%. | 0:20:05 | 0:20:07 | |
And each up rise here represents ten years. | 0:20:07 | 0:20:11 | |
Here we are at 1900, | 0:20:11 | 0:20:14 | |
and this is where we are today. | 0:20:14 | 0:20:16 | |
Now, I'm going to start all the way back 200 years ago. | 0:20:16 | 0:20:21 | |
The time of Napoleon. | 0:20:21 | 0:20:23 | |
1800. | 0:20:23 | 0:20:25 | |
What was the percentage of extreme poverty in the world, then? | 0:20:25 | 0:20:29 | |
Staggering. | 0:20:30 | 0:20:31 | |
85%. | 0:20:31 | 0:20:32 | |
Only a few were out of extreme poverty. | 0:20:33 | 0:20:36 | |
And then came the Industrial Revolution. | 0:20:36 | 0:20:39 | |
And did it improve? Not much. | 0:20:39 | 0:20:42 | |
1850, it was just down here to 80%. | 0:20:42 | 0:20:47 | |
And 1900, it came down to 70%. | 0:20:47 | 0:20:51 | |
And then, further on to 1950. | 0:20:53 | 0:20:57 | |
This is when I was born, just before. | 0:20:57 | 0:21:00 | |
I was two years old here. | 0:21:00 | 0:21:01 | |
55%. | 0:21:01 | 0:21:03 | |
And we have to go all the way to 1970 to reach 50%. | 0:21:03 | 0:21:09 | |
The year when half the world population | 0:21:09 | 0:21:12 | |
was out of extreme poverty, | 0:21:12 | 0:21:13 | |
and half were still in extreme poverty. | 0:21:13 | 0:21:16 | |
And then only in my adult life has it started to drop a little faster. | 0:21:16 | 0:21:21 | |
I stop here at 1990, when it was down to 35%. | 0:21:21 | 0:21:26 | |
Now, this year is not the first time the United Nations put a target, | 0:21:27 | 0:21:31 | |
a goal, for extreme poverty. | 0:21:31 | 0:21:33 | |
The former goal was to halve the extreme poverty from 1990 | 0:21:33 | 0:21:38 | |
up to 2015, where we are now. | 0:21:38 | 0:21:41 | |
Many people at that time said, | 0:21:41 | 0:21:43 | |
"That's mad, that it will never work." | 0:21:43 | 0:21:45 | |
So, it's very exciting for you now to learn, | 0:21:45 | 0:21:49 | |
where is the last estimate? | 0:21:49 | 0:21:51 | |
Where is 2015? | 0:21:51 | 0:21:54 | |
And the estimate is... | 0:21:54 | 0:21:56 | |
I have to put a special stick here. | 0:21:56 | 0:21:59 | |
It's here. | 0:22:00 | 0:22:02 | |
2015. | 0:22:02 | 0:22:04 | |
This is where we are now. | 0:22:04 | 0:22:06 | |
And the estimate is 12. | 0:22:06 | 0:22:10 | |
12. | 0:22:10 | 0:22:11 | |
Let me show you this fantastic trend here. | 0:22:11 | 0:22:14 | |
How it went down from... | 0:22:15 | 0:22:17 | |
..85%, coming slowly down, | 0:22:19 | 0:22:22 | |
a little faster down, and then down here. | 0:22:22 | 0:22:25 | |
Was the goal achieved? | 0:22:26 | 0:22:28 | |
Well, it's not easy to measure extreme poverty. | 0:22:30 | 0:22:33 | |
There is an uncertainty, | 0:22:33 | 0:22:35 | |
but there is no doubt that this trend is fast going down, | 0:22:35 | 0:22:39 | |
and that the last goal was indeed achieved. | 0:22:39 | 0:22:42 | |
However, I'm a statistician, | 0:22:42 | 0:22:44 | |
and I know that, just because you see a trend like that, | 0:22:44 | 0:22:48 | |
that doesn't mean that it will continue in the same direction. | 0:22:48 | 0:22:51 | |
It may level off like this because the last lap is often the toughest. | 0:22:51 | 0:22:56 | |
But, on the other hand, | 0:22:57 | 0:22:58 | |
you can see that it's not impossible to achieve this new goal. | 0:22:58 | 0:23:02 | |
To end extreme poverty altogether by 2030. | 0:23:02 | 0:23:06 | |
It's quite an amazing change we have seen, | 0:23:06 | 0:23:09 | |
and I want to show you this one more time. | 0:23:09 | 0:23:12 | |
But then, I will use my fancy digital display here. | 0:23:12 | 0:23:16 | |
Look here. | 0:23:16 | 0:23:18 | |
This now is the poverty rate in the world, in percent. | 0:23:18 | 0:23:21 | |
And I start again at 1800. | 0:23:21 | 0:23:24 | |
Now, enjoy this amazing journey. | 0:23:25 | 0:23:29 | |
So, everything is fine? | 0:23:37 | 0:23:39 | |
This amazing fall in poverty? | 0:23:39 | 0:23:41 | |
No, there's a catch. | 0:23:42 | 0:23:44 | |
I know that some of you have already spotted it. | 0:23:46 | 0:23:50 | |
This shows percent of people in poverty. | 0:23:50 | 0:23:54 | |
It doesn't show number of people. | 0:23:54 | 0:23:57 | |
Because, during this period, the world population has increased. | 0:23:58 | 0:24:02 | |
So, I'm going to change this axis. | 0:24:02 | 0:24:04 | |
I take it away, | 0:24:04 | 0:24:06 | |
and I replace it with number of people, in billions. | 0:24:06 | 0:24:10 | |
And, back in 1800, | 0:24:10 | 0:24:12 | |
the world population was just one billion people. | 0:24:12 | 0:24:15 | |
And then this happened with the world population, | 0:24:15 | 0:24:18 | |
it started to increase | 0:24:18 | 0:24:19 | |
and then it came up to two billion, three billion, up, up, up, up. | 0:24:19 | 0:24:23 | |
Up to seven billion and a little beyond. | 0:24:23 | 0:24:26 | |
So, what does that mean for these percentages in poverty we have? | 0:24:27 | 0:24:31 | |
Well, back then in 1800, | 0:24:31 | 0:24:34 | |
85% of one billion, that's more or less one billion. | 0:24:34 | 0:24:37 | |
But here, in 1970, | 0:24:39 | 0:24:42 | |
when we had 50% in poverty and four billion people. | 0:24:42 | 0:24:46 | |
How many were then the number in poverty? | 0:24:46 | 0:24:49 | |
Look at that trend. | 0:24:49 | 0:24:50 | |
It was 50% of four. | 0:24:52 | 0:24:54 | |
That's two billion. | 0:24:54 | 0:24:55 | |
Never in human history | 0:24:55 | 0:24:58 | |
had there been so many hungry people in the world as 1970. | 0:24:58 | 0:25:03 | |
Because the population was growing faster | 0:25:03 | 0:25:05 | |
than the poverty rate was going down. | 0:25:05 | 0:25:08 | |
So, where are we today? | 0:25:09 | 0:25:11 | |
With more than seven billion people and 12% in extreme poverty. | 0:25:11 | 0:25:15 | |
Well, you can use your calculator if you want. | 0:25:15 | 0:25:18 | |
This is what has happened. | 0:25:18 | 0:25:20 | |
12% of seven is more or less one billion. | 0:25:22 | 0:25:25 | |
This makes me very humble. | 0:25:25 | 0:25:28 | |
It means that the one billion we have today in extreme poverty | 0:25:29 | 0:25:33 | |
is more or less the same as we had 200 years ago. | 0:25:33 | 0:25:36 | |
That means that the number of people in extreme poverty | 0:25:36 | 0:25:40 | |
over this long historic time has not decreased, | 0:25:40 | 0:25:43 | |
but from here on we have this strong trend | 0:25:43 | 0:25:47 | |
when both percentage and number is coming down. | 0:25:47 | 0:25:50 | |
So, to me, this indicates that it is indeed possible | 0:25:50 | 0:25:55 | |
to continue down to zero. | 0:25:55 | 0:25:56 | |
Now, you are lucky tonight, | 0:25:56 | 0:25:59 | |
I will spoil you because I am going to show you this in one more way. | 0:25:59 | 0:26:03 | |
Look here. | 0:26:03 | 0:26:04 | |
I'm going to show you | 0:26:04 | 0:26:06 | |
where extreme poverty has been and how it has decreased. | 0:26:06 | 0:26:10 | |
This is the world, and here are the population | 0:26:10 | 0:26:13 | |
back in 1800, in each of the regions, in total one billion. | 0:26:13 | 0:26:18 | |
Here is the yard stick of income. | 0:26:18 | 0:26:20 | |
I'm going to put down these people to show their incomes. | 0:26:20 | 0:26:24 | |
First, Europe, and they spread out here. | 0:26:24 | 0:26:27 | |
And then Americas on top of that. | 0:26:27 | 0:26:29 | |
Then comes Africa, and on top of it the most populous region Asia, | 0:26:29 | 0:26:34 | |
including Australia. | 0:26:34 | 0:26:35 | |
And, as I've shown you before, | 0:26:35 | 0:26:38 | |
almost all people there were living in extreme poverty. | 0:26:38 | 0:26:41 | |
On all regions in the world. | 0:26:41 | 0:26:43 | |
Now, I'm going to show you what has happened. | 0:26:43 | 0:26:47 | |
I start the world and look, with Industrial Revolution | 0:26:47 | 0:26:51 | |
the population grew here | 0:26:51 | 0:26:52 | |
and the incomes expanded here, | 0:26:52 | 0:26:54 | |
mainly because of increased income | 0:26:54 | 0:26:56 | |
in Europe and America. | 0:26:56 | 0:26:58 | |
And then, in the 20th century, | 0:26:58 | 0:27:00 | |
the population continued to grow | 0:27:00 | 0:27:02 | |
and incomes increased even more. | 0:27:02 | 0:27:04 | |
And they changed | 0:27:04 | 0:27:05 | |
the whole pattern of the world. | 0:27:05 | 0:27:07 | |
It became a divided world. | 0:27:07 | 0:27:09 | |
The world view you grew up with, | 0:27:09 | 0:27:11 | |
with the rich West here, | 0:27:11 | 0:27:13 | |
and with poor Africa and Asia here. | 0:27:13 | 0:27:15 | |
But in the 1980s, | 0:27:15 | 0:27:16 | |
the amazing growth of China | 0:27:16 | 0:27:19 | |
and the other tiger economy in Asia and India, | 0:27:19 | 0:27:21 | |
they start to get out of poverty. They close this gap | 0:27:21 | 0:27:24 | |
and they are coming over this side. | 0:27:24 | 0:27:26 | |
The shape of the world changed again. | 0:27:26 | 0:27:28 | |
Look, now, Africa is following - | 0:27:28 | 0:27:30 | |
I call them the lion economies of Africa. | 0:27:30 | 0:27:33 | |
Here we are today, in a completely new shape of the world. | 0:27:33 | 0:27:37 | |
For those of you who still think about the world | 0:27:37 | 0:27:40 | |
as the rich and the poor, | 0:27:40 | 0:27:42 | |
I'm going to give you a new concept. | 0:27:42 | 0:27:45 | |
I'm going to give you a new term. | 0:27:45 | 0:27:47 | |
"The middle". | 0:27:47 | 0:27:48 | |
What we have to do is to look at those who recently came | 0:27:50 | 0:27:54 | |
from extreme poverty and into the middle, | 0:27:54 | 0:27:56 | |
to learn what it takes to go from here to there. | 0:27:56 | 0:28:01 | |
Welcome to Cambodia, | 0:28:07 | 0:28:09 | |
one of Asia's poorest countries. | 0:28:09 | 0:28:11 | |
And to Thy, who farms a smallholding in a village | 0:28:11 | 0:28:16 | |
in the centre of the country. | 0:28:16 | 0:28:18 | |
THEY SPEAK IN KHMER | 0:28:18 | 0:28:22 | |
Thy and his wife live with her dad | 0:28:23 | 0:28:27 | |
and their three-year-old son. | 0:28:27 | 0:28:30 | |
The family is about to get bigger. | 0:28:38 | 0:28:40 | |
Thy's wife is heavily pregnant. | 0:28:40 | 0:28:43 | |
In fact, the local midwife told her she's expecting twins. | 0:28:43 | 0:28:47 | |
The family's living conditions are far from easy, | 0:28:51 | 0:28:54 | |
but, unlike Malawi, there is no hunger season here. | 0:28:54 | 0:28:58 | |
They have electricity. | 0:29:00 | 0:29:02 | |
Though no gas for cooking. | 0:29:05 | 0:29:06 | |
And though life's hard, | 0:29:08 | 0:29:09 | |
there's time and money for her to pursue her hobby. | 0:29:09 | 0:29:13 | |
Though still poor, | 0:29:30 | 0:29:31 | |
the family have earned enough to buy some life-changing things. | 0:29:31 | 0:29:35 | |
Last year, Thy managed to invest the equivalent of 300 dollars | 0:29:38 | 0:29:43 | |
in a new water pump, | 0:29:43 | 0:29:44 | |
so he no longer had to waste time at the public pump. | 0:29:44 | 0:29:48 | |
Things are changing fast in Cambodia today. | 0:30:03 | 0:30:05 | |
Just two hours away, | 0:30:05 | 0:30:07 | |
the capital Phnom Penh is at the heart of an economic boom. | 0:30:07 | 0:30:11 | |
New export industries - above all, textiles - | 0:30:12 | 0:30:15 | |
are yielding very fast economic growth. | 0:30:15 | 0:30:18 | |
And this transformation is reaching well into the countryside. | 0:30:18 | 0:30:22 | |
With textile factories opening up nearby, | 0:30:44 | 0:30:47 | |
many neighbours have began to prosper, | 0:30:47 | 0:30:50 | |
moving away from agriculture into full-time employment. | 0:30:50 | 0:30:54 | |
Thy is turning this to his advantage. | 0:30:54 | 0:30:56 | |
Though Thy's farmland is similar in size to Dunster's in Malawi, | 0:31:18 | 0:31:22 | |
what he's able to do with it couldn't be more different. | 0:31:22 | 0:31:26 | |
Unlike Dunster, Thy can even afford to invest | 0:31:37 | 0:31:40 | |
in what he needs to make his work more efficient. | 0:31:40 | 0:31:43 | |
The couple are out of extreme poverty, but not far out, | 0:32:07 | 0:32:11 | |
and they've had unexpected and troubling news. | 0:32:11 | 0:32:14 | |
Unexpected medical costs often cause serious financial shocks | 0:32:28 | 0:32:33 | |
for people just out of extreme poverty. | 0:32:33 | 0:32:36 | |
With a possible Caesarean and many days in hospital to pay for, | 0:32:36 | 0:32:40 | |
the family have had to borrow the equivalent of almost 500 dollars. | 0:32:40 | 0:32:45 | |
All the family's assets - the pump, | 0:32:51 | 0:32:54 | |
the bike, and even their land, | 0:32:54 | 0:32:56 | |
might be in jeopardy, depending on what happens next. | 0:32:56 | 0:33:00 | |
Such a big dent might even throw them right back | 0:33:02 | 0:33:06 | |
into extreme poverty. | 0:33:06 | 0:33:07 | |
Worrying times for Thy and his wife. | 0:33:10 | 0:33:14 | |
A risky pregnancy, and a risk to be thrown back into extreme poverty | 0:33:14 | 0:33:18 | |
if things go wrong. | 0:33:18 | 0:33:20 | |
Let's head back to Dollar Street. | 0:33:21 | 0:33:23 | |
The place where they live, you know, is not at the far poorest end, | 0:33:23 | 0:33:28 | |
they are new arrivals to this big middle, | 0:33:28 | 0:33:31 | |
where most of the people live. | 0:33:31 | 0:33:33 | |
So, let's visit some of their neighbours, | 0:33:33 | 0:33:36 | |
all having the same income, | 0:33:36 | 0:33:38 | |
out of extreme poverty, but not much more. | 0:33:38 | 0:33:42 | |
It's the Castillos from the slum in Manila in the Philippines. | 0:33:43 | 0:33:47 | |
It is Iquira Collos from Columbia. | 0:33:47 | 0:33:51 | |
And it is the Nshimyimanas from Rwanda. | 0:33:51 | 0:33:54 | |
And also the Bishash family from Bangladesh. | 0:33:54 | 0:33:59 | |
These are their houses. | 0:33:59 | 0:34:01 | |
They are still poor, | 0:34:01 | 0:34:03 | |
but there's a distinct difference between these houses | 0:34:03 | 0:34:06 | |
and those in extreme poverty. | 0:34:06 | 0:34:08 | |
They're of more durable material, there's bricks there | 0:34:08 | 0:34:11 | |
and there's a roof with plastic and there's iron sheets. | 0:34:11 | 0:34:14 | |
And this, you can see inside their home | 0:34:14 | 0:34:18 | |
they have more things for a better life, | 0:34:18 | 0:34:21 | |
a more healthy life, a more productive life. | 0:34:21 | 0:34:23 | |
They have clean water in their house. | 0:34:23 | 0:34:25 | |
They have bicycles and a little cart | 0:34:27 | 0:34:29 | |
so that they can transport and carry things. | 0:34:29 | 0:34:32 | |
Better beds with mattresses. | 0:34:32 | 0:34:34 | |
And things to keep them informed and even entertain them in their homes. | 0:34:34 | 0:34:39 | |
And, most importantly, they all have electricity, | 0:34:39 | 0:34:44 | |
electricity, electricity, electricity. | 0:34:44 | 0:34:47 | |
Now, it if you live in this richer end of Dollar Street, | 0:34:47 | 0:34:52 | |
it is very easy to look down at people in the rest of the world, | 0:34:52 | 0:34:56 | |
in the middle and the rest and say they are all equally poor. | 0:34:56 | 0:34:59 | |
But, if you look carefully, you will see a completely different story. | 0:34:59 | 0:35:04 | |
All across the middle, progress today is steady and very real. | 0:35:14 | 0:35:19 | |
Step by step, lives are getting better. | 0:35:22 | 0:35:24 | |
And in so many ways. | 0:35:27 | 0:35:29 | |
Not just more stuff in people's homes | 0:35:33 | 0:35:36 | |
but more opportunities for a fuller life. | 0:35:36 | 0:35:39 | |
Ladies and gentlemen, this is the moment you have been waiting for. | 0:35:45 | 0:35:50 | |
Time for the answers on the World Quiz. | 0:35:50 | 0:35:52 | |
APPLAUSE | 0:35:54 | 0:35:56 | |
Are you confident now? You will see how you have answered. | 0:36:02 | 0:36:06 | |
Well, remember the first question. Here it is. | 0:36:06 | 0:36:10 | |
These were your answers. | 0:36:14 | 0:36:16 | |
Ah, very much spread out. | 0:36:18 | 0:36:20 | |
But it seems that most was like four, 40%. | 0:36:20 | 0:36:24 | |
Let's look at the right answer. | 0:36:25 | 0:36:27 | |
It's eight. | 0:36:27 | 0:36:29 | |
Little more than 80%. 40%, that was 1960. | 0:36:29 | 0:36:33 | |
You are 50 years behind on average. | 0:36:35 | 0:36:38 | |
Next question. | 0:36:38 | 0:36:39 | |
These are your results. | 0:36:44 | 0:36:47 | |
Once again, spread out | 0:36:47 | 0:36:49 | |
and it seems that the most common answer here was 30% of children. | 0:36:49 | 0:36:54 | |
The right answer is... | 0:36:54 | 0:36:56 | |
..83% of the children of the world are vaccinated against measles. | 0:36:57 | 0:37:02 | |
Now, let's look at the last one. | 0:37:02 | 0:37:04 | |
Your answer was like this. | 0:37:07 | 0:37:09 | |
Ah-ha! And once more it was like you think 40% of the girls. | 0:37:11 | 0:37:15 | |
The right answer is... | 0:37:15 | 0:37:18 | |
90% of girls go to school. | 0:37:18 | 0:37:20 | |
Your answer is 60 years behind. | 0:37:20 | 0:37:22 | |
Don't look too sad, you know? | 0:37:24 | 0:37:26 | |
I put these type of questions to many audiences | 0:37:26 | 0:37:29 | |
across the world and they are as out-dated as you are. | 0:37:29 | 0:37:33 | |
You know, it's absolutely amazing how much life is improving | 0:37:34 | 0:37:40 | |
for most people in the world, not only economically, | 0:37:40 | 0:37:42 | |
but in so many different ways. | 0:37:42 | 0:37:45 | |
I think this is the greatest story of our time. | 0:37:45 | 0:37:49 | |
Or almost the greatest story of human history. | 0:37:49 | 0:37:54 | |
And if you don't believe me, look at this. | 0:37:54 | 0:37:57 | |
Here's my yard stick of income but I'm going to change it | 0:37:57 | 0:38:01 | |
because I'm going to compare countries. | 0:38:01 | 0:38:03 | |
So, I changed this one to GDP per capita. | 0:38:03 | 0:38:08 | |
It's a fancy term for the income of countries. | 0:38:08 | 0:38:11 | |
And it goes from 500 dollars per person, | 0:38:11 | 0:38:15 | |
5,000 dollars per person, up to 50,000 dollars per person a year. | 0:38:15 | 0:38:20 | |
But money's nice but it's not the most important. | 0:38:20 | 0:38:23 | |
We need a measure of human progress, also. | 0:38:23 | 0:38:26 | |
And from my huge database, I think it's easy to choose. | 0:38:26 | 0:38:30 | |
What I think is the best measure of human progress | 0:38:30 | 0:38:34 | |
is to look at the fall of child mortality. | 0:38:34 | 0:38:38 | |
Child mortality is the number of children that tragically die | 0:38:38 | 0:38:41 | |
before the age of five. | 0:38:41 | 0:38:43 | |
From 50% to 10%. | 0:38:43 | 0:38:44 | |
Of course, we want it to go as close to zero as possible. | 0:38:44 | 0:38:49 | |
Now, child mortality depends on so many things, not just health service. | 0:38:49 | 0:38:55 | |
It depends on education, living conditions, how communities | 0:38:55 | 0:38:59 | |
and governments protect and help those in need. | 0:38:59 | 0:39:03 | |
So, child mortality measures all those aspects of human progress. | 0:39:03 | 0:39:08 | |
So, let's now start in 1800. | 0:39:08 | 0:39:12 | |
And here comes all the countries. | 0:39:12 | 0:39:14 | |
First, Europe, each bubble is a country. Then Americas. | 0:39:14 | 0:39:18 | |
And here, Africa. | 0:39:18 | 0:39:20 | |
And now Asia. | 0:39:20 | 0:39:22 | |
The size of these bubbles correspond to population, | 0:39:22 | 0:39:25 | |
so the big ones up there is China and India. | 0:39:25 | 0:39:29 | |
Now, in 1800, there was an appalling high child mortality in the world. | 0:39:29 | 0:39:35 | |
Even the most powerful country at that time, the UK, | 0:39:35 | 0:39:38 | |
had more than one child in three dying before the age of five. | 0:39:38 | 0:39:42 | |
Now, let's see what happens. | 0:39:43 | 0:39:45 | |
Let's see how countries got more money | 0:39:45 | 0:39:48 | |
and how well they used that money. | 0:39:48 | 0:39:51 | |
I start now the world. Here we go. | 0:39:51 | 0:39:54 | |
The richest countries improved their economy and, with better hygiene, | 0:39:54 | 0:39:58 | |
food and education, they lower child mortality. | 0:39:58 | 0:40:01 | |
Then comes smallpox vaccination, industrially produced soap. | 0:40:01 | 0:40:05 | |
It went down further and then, with further economic growth, | 0:40:05 | 0:40:08 | |
they could improve living conditions and even start with social welfare. | 0:40:08 | 0:40:13 | |
Now, ooh, that was the First World War. | 0:40:13 | 0:40:15 | |
And after that the poorest countries start to move downwards here, | 0:40:15 | 0:40:18 | |
slowly, slowly and that is the Second World War. | 0:40:18 | 0:40:22 | |
Now, after that independence came to countries in Asia and Africa | 0:40:22 | 0:40:25 | |
and, with that, more families got education, better water, | 0:40:25 | 0:40:29 | |
sanitation, health service with new vaccines. | 0:40:29 | 0:40:33 | |
And they got better seeds and, with roads, rural life improves. | 0:40:33 | 0:40:36 | |
And here... Oh, that was the break down | 0:40:36 | 0:40:38 | |
of the Soviet Union you saw there. | 0:40:38 | 0:40:40 | |
And now all the girls, almost, in the world get education | 0:40:40 | 0:40:44 | |
and women get more empowered and that presses down child mortality | 0:40:44 | 0:40:48 | |
and increase economic growth. | 0:40:48 | 0:40:50 | |
Here we are today. What an amazing change. | 0:40:50 | 0:40:53 | |
Even the worst-off countries today have a lower child mortality | 0:40:53 | 0:40:58 | |
than that of the best 200 years ago. | 0:40:58 | 0:41:01 | |
But there is still huge difference between the countries. | 0:41:01 | 0:41:04 | |
So, I zoom in to show you that. | 0:41:04 | 0:41:06 | |
And, look, the worst off, poorest, war-torn African countries | 0:41:08 | 0:41:13 | |
are up there but peaceful Malawi is down here. | 0:41:13 | 0:41:17 | |
Now, these countries in the middle, | 0:41:17 | 0:41:19 | |
they've had an amazing progress and Cambodia has reached already here. | 0:41:19 | 0:41:24 | |
But remember Thy and his wife? | 0:41:24 | 0:41:27 | |
They face the challenge of her twin delivery | 0:41:27 | 0:41:31 | |
and they also risk an economic shock from the medical bill. | 0:41:31 | 0:41:36 | |
So, how this young family now fares will be a test for their country | 0:41:36 | 0:41:41 | |
and for the world at large. | 0:41:41 | 0:41:42 | |
She has gone into labour | 0:41:50 | 0:41:52 | |
and the couple waste no time in heading for the district hospital. | 0:41:52 | 0:41:56 | |
Because one of the twins is upside down, | 0:41:57 | 0:41:59 | |
the local health centre won't take her. | 0:41:59 | 0:42:01 | |
Thy doesn't trust his own unreliable bike, | 0:42:03 | 0:42:06 | |
so they've had to hire an expensive motorbike taxi. | 0:42:06 | 0:42:09 | |
It's an hour's journey, almost four days' earnings | 0:42:10 | 0:42:14 | |
but at least there's a hospital to go to. | 0:42:14 | 0:42:16 | |
At the end of the '70s, | 0:42:18 | 0:42:19 | |
Cambodia was emerging from the mass murder of Khmer Rouge | 0:42:19 | 0:42:23 | |
and there were very few surviving doctors but, since then, | 0:42:23 | 0:42:27 | |
more than 1,000 health centres and hospitals have been opened. | 0:42:27 | 0:42:31 | |
It's 1am. Suddenly, Thy's wife is in full labour. | 0:42:34 | 0:42:38 | |
The first twin is delivered naturally and the medical team | 0:42:38 | 0:42:42 | |
is also able, very skilfully, to turn the second baby. | 0:42:42 | 0:42:47 | |
There is no need to operate. | 0:42:47 | 0:42:49 | |
She has given birth to two healthy boys. | 0:42:49 | 0:42:53 | |
Although an expensive Caesarean is avoided, | 0:43:26 | 0:43:29 | |
the family still face a costly hospital bill. | 0:43:29 | 0:43:32 | |
But there's one chance for Thy to avoid the costs | 0:43:36 | 0:43:39 | |
and pay back their debt. | 0:43:39 | 0:43:41 | |
A government scheme known as the Poor Card picks up | 0:43:41 | 0:43:45 | |
the medical bills and expenses for poorer Cambodians. | 0:43:45 | 0:43:49 | |
But, to see if they qualify, Thy will first have some tough questioning. | 0:43:49 | 0:43:53 | |
The questions are designed to assess just how poor the family really is. | 0:44:33 | 0:44:38 | |
More than 19 points | 0:44:38 | 0:44:39 | |
and they will have to pick up all their health-care bills themselves. | 0:44:39 | 0:44:44 | |
To make sure the system isn't abused, inspectors will go | 0:44:44 | 0:44:48 | |
to Thy's house and check that he's telling the truth. | 0:44:48 | 0:44:51 | |
They score 17 points and just qualify for the Poor Card. | 0:45:08 | 0:45:13 | |
They won't need to pay the hospital and, what's more, | 0:45:14 | 0:45:17 | |
they'll get a daily allowance towards food and travel. | 0:45:17 | 0:45:20 | |
When it's time to leave hospital, the Poor Card also covers | 0:45:26 | 0:45:30 | |
the costs for the tuk-tuk ride home. | 0:45:30 | 0:45:32 | |
One in ten Cambodians do still live in extreme poverty | 0:45:38 | 0:45:43 | |
but this family won't be joining them. | 0:45:43 | 0:45:45 | |
They've been able to repay the money they borrow. | 0:45:52 | 0:45:55 | |
And with this Poor Card, | 0:45:55 | 0:45:56 | |
they will all have free health care for at least the next five years, | 0:45:56 | 0:46:00 | |
from Grandpa to the new twins, they are all listed. | 0:46:00 | 0:46:03 | |
This basic welfare system has ensured that this happy event | 0:46:19 | 0:46:24 | |
is not a financial catastrophe. | 0:46:24 | 0:46:27 | |
The family will stay part of Cambodia's growing economy. | 0:46:27 | 0:46:30 | |
Welcome to the world, Chantheoun and Chantha. | 0:46:32 | 0:46:36 | |
But what's the lesson from Cambodia for the poorest countries? | 0:46:36 | 0:46:41 | |
When these countries here in the middle develop so successfully, | 0:46:41 | 0:46:45 | |
they both invested in human progress and grew their economy. | 0:46:45 | 0:46:50 | |
But which came first? | 0:46:50 | 0:46:52 | |
Chicken or egg? People or money? | 0:46:52 | 0:46:55 | |
Let's look at the UK. | 0:46:55 | 0:46:57 | |
In 1800, UK was here, | 0:46:57 | 0:47:00 | |
and now, we run 200-year story. | 0:47:00 | 0:47:03 | |
First, UK got wealthier, | 0:47:03 | 0:47:06 | |
and then went a little healthier, | 0:47:06 | 0:47:08 | |
and then more wealth and health. | 0:47:08 | 0:47:10 | |
Now, I'm going to compare that | 0:47:10 | 0:47:12 | |
with the mightiest of the emerging countries - China. | 0:47:12 | 0:47:16 | |
When they came out from the Communist Revolution in 1950, | 0:47:16 | 0:47:19 | |
they had more or less the same child mortality as the United Kingdom | 0:47:19 | 0:47:23 | |
had 150 years earlier. | 0:47:23 | 0:47:25 | |
And then, during Chairman Mao, there was both progress and horror. | 0:47:25 | 0:47:30 | |
But then, they continued downwards with social progress | 0:47:30 | 0:47:33 | |
and that kick-started this amazing economic growth | 0:47:33 | 0:47:37 | |
that we have seen in China. | 0:47:37 | 0:47:39 | |
Now, China reached the same low level of child mortality | 0:47:39 | 0:47:44 | |
as UK had here, at the tenth of the economic level. | 0:47:44 | 0:47:47 | |
But they did it with Communism. | 0:47:49 | 0:47:51 | |
Let's go to a neighbouring country, South Korea, | 0:47:51 | 0:47:54 | |
with a different political system. | 0:47:54 | 0:47:57 | |
This is still the year of the Korean War. | 0:47:57 | 0:48:00 | |
But after the war, Korea invested | 0:48:00 | 0:48:02 | |
heavily in education and health | 0:48:02 | 0:48:04 | |
and improved human development | 0:48:04 | 0:48:05 | |
and then came this amazing economic growth | 0:48:05 | 0:48:08 | |
that was even faster than China's. | 0:48:08 | 0:48:10 | |
You see, this is the route that many countries in the world | 0:48:10 | 0:48:13 | |
who are successful today are following. It's a smart short cut, | 0:48:13 | 0:48:17 | |
where they first invest with very limited economic resources | 0:48:17 | 0:48:21 | |
in human progress and then, | 0:48:21 | 0:48:23 | |
they take off economically and go that way. | 0:48:23 | 0:48:26 | |
Now, even in Africa, let me show you Ethiopia. | 0:48:26 | 0:48:29 | |
1950 up here, first decades | 0:48:29 | 0:48:32 | |
of turmoil and even famine, | 0:48:32 | 0:48:34 | |
and then from 1990 here, they take off | 0:48:34 | 0:48:37 | |
with investments in human and now economic growth. | 0:48:37 | 0:48:41 | |
So, what about poor Malawi? It has come down like this. | 0:48:41 | 0:48:44 | |
Really successful in education and in health, | 0:48:44 | 0:48:48 | |
and they have come down here, much better now than generations ago, | 0:48:48 | 0:48:52 | |
but they are still waiting for the economic growth. | 0:48:52 | 0:48:55 | |
In Malawi, harvest time has arrived. | 0:49:02 | 0:49:05 | |
All the family get to work. | 0:49:30 | 0:49:31 | |
But Dunster does not have high hopes. | 0:49:34 | 0:49:37 | |
The rains are often irregular in this part of Malawi, | 0:49:37 | 0:49:41 | |
and this year, they came at the wrong time. | 0:49:41 | 0:49:43 | |
Even so, it's only now that the cobs are all taken off, | 0:49:45 | 0:49:49 | |
that he can really tell how this year's harvest has done. | 0:49:49 | 0:49:53 | |
With the harvest complete, Dunster, at last, can definitively measure | 0:50:04 | 0:50:08 | |
how much food the family has and how long it will last. | 0:50:08 | 0:50:12 | |
It wouldn't really take much to make poor farmers, | 0:50:32 | 0:50:35 | |
like Dunster and Janet, far more productive, | 0:50:35 | 0:50:37 | |
enough to lift them out of extreme poverty all together. | 0:50:37 | 0:50:41 | |
So often, what's lacking is something straightforward. | 0:50:43 | 0:50:46 | |
There's no shortage of water in the area. | 0:50:48 | 0:50:50 | |
The problem is reliably getting it | 0:50:50 | 0:50:52 | |
to the right place at the right time. | 0:50:52 | 0:50:55 | |
A few miles away, on the far side of the village, | 0:50:58 | 0:51:01 | |
there is a small irrigation system | 0:51:01 | 0:51:03 | |
that diverts water from local streams. | 0:51:03 | 0:51:05 | |
The farmers over there grow better maize as well as other crops. | 0:51:07 | 0:51:11 | |
They've been able to turn their farms into real businesses. | 0:51:11 | 0:51:15 | |
Near Dunster's house is a place | 0:51:17 | 0:51:20 | |
where he believes a dam could create a stream-water reservoir | 0:51:20 | 0:51:24 | |
for his side of the village. | 0:51:24 | 0:51:25 | |
Small irrigation systems aren't too difficult to build, | 0:51:41 | 0:51:45 | |
but they still need funding and agreement on management - | 0:51:45 | 0:51:49 | |
both hard to come by. | 0:51:49 | 0:51:51 | |
That's why Dunster is still at the mercy of the rains. | 0:51:51 | 0:51:55 | |
What Dunster hopes for is not wildly unrealistic, | 0:52:17 | 0:52:22 | |
but he'll need it to fulfil his dream. | 0:52:22 | 0:52:24 | |
What a paradoxical situation. | 0:52:55 | 0:52:57 | |
Janet and Dunster work so hard and get so little. | 0:52:57 | 0:53:01 | |
What they need is a small dam. | 0:53:01 | 0:53:03 | |
But who's going to pay for things like that? | 0:53:04 | 0:53:07 | |
Commercial investments? Not likely for poor people in remote areas. | 0:53:07 | 0:53:13 | |
Governments? The poorest countries are still too poor. | 0:53:13 | 0:53:17 | |
So, let me tell you about the third main alternative. | 0:53:17 | 0:53:21 | |
International aid. | 0:53:21 | 0:53:22 | |
Here once more we show economic level and social progress. | 0:53:24 | 0:53:29 | |
And we zoom in as we have seen before. | 0:53:29 | 0:53:32 | |
And the richer countries, or those here in the middle, this group here. | 0:53:32 | 0:53:37 | |
They still have some people remaining in extreme poverty, | 0:53:37 | 0:53:41 | |
and they get about 300 in aid | 0:53:41 | 0:53:44 | |
per person in extreme poverty. | 0:53:44 | 0:53:48 | |
But I think they are rich enough to take care of their own poor people. | 0:53:48 | 0:53:51 | |
In fact, some of these countries, China and Mexico, | 0:53:51 | 0:53:55 | |
they are already generously GIVING aid to these ones. | 0:53:55 | 0:53:58 | |
Why should they also get it? | 0:53:58 | 0:53:59 | |
I think it's time to stop giving aid to these countries. | 0:53:59 | 0:54:03 | |
Now, the next group here, who is the lower part of the middle group. | 0:54:03 | 0:54:08 | |
Quite a sizable part of their population still in extreme poverty. | 0:54:08 | 0:54:12 | |
They still get aid, also around 300 | 0:54:12 | 0:54:16 | |
per person in extreme poverty and they need aid. | 0:54:16 | 0:54:19 | |
You saw, in Cambodia, how that Poverty Card | 0:54:19 | 0:54:21 | |
really helped people from not falling back into extreme poverty. | 0:54:21 | 0:54:25 | |
Now, the strange thing is here, | 0:54:25 | 0:54:28 | |
the countries with the lowest income. | 0:54:28 | 0:54:30 | |
They have the highest percentage | 0:54:30 | 0:54:32 | |
of people in extreme poverty, | 0:54:32 | 0:54:35 | |
but they only get 100 in aid per person in extreme poverty. | 0:54:35 | 0:54:40 | |
The aid has to be much better focused, | 0:54:40 | 0:54:43 | |
and it especially has to focus | 0:54:43 | 0:54:46 | |
on the remotest areas, the remote corners of these countries, | 0:54:46 | 0:54:50 | |
because that's where extreme poverty is. | 0:54:50 | 0:54:53 | |
And yes, the governments in these countries | 0:54:53 | 0:54:56 | |
also have to dramatically improve the way they provide services. | 0:54:56 | 0:55:01 | |
But it's here the endgame will be against extreme poverty. | 0:55:01 | 0:55:05 | |
Ending extreme poverty will transform the lives | 0:55:09 | 0:55:12 | |
of a billion people. | 0:55:12 | 0:55:13 | |
But this is not about charity, it is an investment in all of us. | 0:55:15 | 0:55:20 | |
Extreme poverty helps fuel many dangerous long-running conflicts, | 0:55:20 | 0:55:26 | |
ending it will bring peace. | 0:55:26 | 0:55:28 | |
And what's more, wherever extreme poverty's ended, | 0:55:30 | 0:55:33 | |
the poor of today will become the customers of tomorrow. | 0:55:33 | 0:55:36 | |
And, I'm sure, the inventors and the entrepreneurs of tomorrow, too. | 0:55:36 | 0:55:41 | |
There is one last thing I must tell you. | 0:55:46 | 0:55:49 | |
One reason why it's not only important | 0:55:49 | 0:55:52 | |
to end extreme poverty, but it's also urgent. | 0:55:52 | 0:55:55 | |
Population growth. | 0:55:55 | 0:55:57 | |
Here are all the people again | 0:55:57 | 0:55:58 | |
and I want to tell you about one profound effect | 0:55:58 | 0:56:03 | |
of this big move out of extreme poverty. | 0:56:03 | 0:56:06 | |
It's about the size of families, | 0:56:06 | 0:56:09 | |
number of babies born per woman. | 0:56:09 | 0:56:10 | |
Here, in extreme poverty, | 0:56:10 | 0:56:12 | |
still today, there's on average, | 0:56:12 | 0:56:15 | |
five children in the family. | 0:56:15 | 0:56:17 | |
Five babies born per woman. | 0:56:17 | 0:56:19 | |
Whereas those who are out of extreme poverty, | 0:56:19 | 0:56:22 | |
the vast majority of the world, | 0:56:22 | 0:56:23 | |
here the average today | 0:56:23 | 0:56:25 | |
is two children in each family. | 0:56:25 | 0:56:29 | |
Independent of culture and religion. | 0:56:29 | 0:56:32 | |
And what does this mean for Goal 1.1? | 0:56:32 | 0:56:35 | |
Well, it means that if only a part of these people | 0:56:36 | 0:56:40 | |
get out of extreme poverty, | 0:56:40 | 0:56:41 | |
those who remain will continue to have large families | 0:56:41 | 0:56:45 | |
and poverty will reproduce itself. | 0:56:45 | 0:56:48 | |
Now, it's very important that you don't misunderstand. | 0:56:49 | 0:56:52 | |
I don't say that you end extreme poverty | 0:56:52 | 0:56:55 | |
by telling these people to have fewer children. | 0:56:55 | 0:56:59 | |
No, it's the other way round. | 0:56:59 | 0:57:00 | |
If you help these people get out of extreme poverty, | 0:57:02 | 0:57:06 | |
they will very soon, swiftly decide to have fewer children | 0:57:06 | 0:57:10 | |
if they have access to contraceptives. | 0:57:10 | 0:57:12 | |
It's the remarkable fact, you know, | 0:57:12 | 0:57:14 | |
that explains why it is easier to end extreme poverty swiftly | 0:57:14 | 0:57:20 | |
than to do it slowly. | 0:57:20 | 0:57:23 | |
It will be easiest of all to end extreme poverty | 0:57:23 | 0:57:27 | |
in less than one generation. | 0:57:27 | 0:57:29 | |
You know, I wondered in the beginning | 0:57:30 | 0:57:33 | |
if the United Nations were mad | 0:57:33 | 0:57:37 | |
when they suggested that we should end extreme poverty in 15 years. | 0:57:37 | 0:57:41 | |
In fact, it would be mad not to do it. | 0:57:41 | 0:57:45 | |
I hope I've shown you that the right actions | 0:57:46 | 0:57:50 | |
together with economic growth and targeted aid | 0:57:50 | 0:57:54 | |
can end extreme poverty. | 0:57:54 | 0:57:57 | |
We really can end that terrible poverty | 0:57:57 | 0:58:02 | |
around the world that has been with humanity throughout history. | 0:58:02 | 0:58:07 | |
We have seen so many being lifted out of extreme poverty... | 0:58:07 | 0:58:11 | |
..and now, we can continue that and get the job done. | 0:58:12 | 0:58:16 | |
Ending extreme poverty won't end the problems of the world. | 0:58:18 | 0:58:24 | |
But, in comparison with other huge problems, | 0:58:24 | 0:58:28 | |
like climate change and war, | 0:58:28 | 0:58:31 | |
this one, to me, seems easy. | 0:58:31 | 0:58:35 | |
So, Goal 1.1, let's do it. | 0:58:35 | 0:58:38 | |
APPLAUSE | 0:58:38 | 0:58:40 | |
To test your own assumptions about world poverty | 0:58:43 | 0:58:45 | |
and explore the issues behind the numbers, go to... | 0:58:45 | 0:58:48 | |
..where you will find links | 0:58:51 | 0:58:52 | |
to the Open University's free learning website Open Learn. | 0:58:52 | 0:58:56 | |
You'll also find links to Gapminder | 0:58:56 | 0:58:58 | |
where you can explore all the data and its sources. | 0:58:58 | 0:59:01 |