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We live in a world of relentless change. | 0:00:11 | 0:00:14 | |
Huge migrations of people to new mega cities, | 0:00:17 | 0:00:21 | |
filling soaring skyscrapers and vast slums. | 0:00:21 | 0:00:26 | |
Ravenous appetites for fuel and food. | 0:00:27 | 0:00:31 | |
Unpredictable climate change. | 0:00:31 | 0:00:35 | |
And all this in a world where the population is still growing. | 0:00:35 | 0:00:41 | |
Should we be worried? | 0:00:42 | 0:00:44 | |
Should we be scared? | 0:00:44 | 0:00:46 | |
How to make sense of it all? | 0:00:48 | 0:00:50 | |
Seven billion people now live on this planet of ours. | 0:00:58 | 0:01:02 | |
Isn't it beautiful? | 0:01:02 | 0:01:04 | |
But when some people think about the world and its future, they panic! | 0:01:04 | 0:01:09 | |
Others prefer not to think about it at all. | 0:01:09 | 0:01:12 | |
But tonight, I'm going to show you how things really are. | 0:01:12 | 0:01:16 | |
My name is Hans Rosling. I'm a statistician at... No, no, no! | 0:01:16 | 0:01:19 | |
Don't switch off! | 0:01:19 | 0:01:20 | |
-LAUGHTER -Because with the latest data from all countries, | 0:01:20 | 0:01:23 | |
I'm going to show you the world in a new way. | 0:01:23 | 0:01:25 | |
I'm going to tell you how world population is changing | 0:01:25 | 0:01:28 | |
and what today's data tells us about how the future of the world will be. | 0:01:28 | 0:01:33 | |
We undeniably face huge challenges, | 0:01:33 | 0:01:38 | |
but the good news is that the future may not be quite as gloomy, | 0:01:38 | 0:01:42 | |
and that mankind already is doing better than many of you think. | 0:01:42 | 0:01:47 | |
Babies! Each one a blessing. | 0:01:57 | 0:02:01 | |
But many people think population growth is out of control. | 0:02:01 | 0:02:05 | |
Some even talk of a population bomb. | 0:02:05 | 0:02:08 | |
-Are they right? -BABY WAILS | 0:02:09 | 0:02:11 | |
So where are we with population today and how did we get here? | 0:02:14 | 0:02:17 | |
I'm going to tell you a story about everyone who ever lived - | 0:02:17 | 0:02:22 | |
well, at least during the last some thousand years. Here we go. | 0:02:22 | 0:02:26 | |
I give you...two axes. | 0:02:26 | 0:02:31 | |
This is time in years | 0:02:31 | 0:02:34 | |
and this one here is world population in billions. | 0:02:34 | 0:02:39 | |
In the year 10,000 BC, | 0:02:39 | 0:02:42 | |
when the first people were becoming farmers, | 0:02:42 | 0:02:45 | |
then the archaeologists estimate | 0:02:45 | 0:02:47 | |
that the world population was only ten million. | 0:02:47 | 0:02:52 | |
Imagine, ten million, that's like Sweden today, | 0:02:52 | 0:02:55 | |
a world of only Swedes! | 0:02:55 | 0:02:58 | |
LAUGHTER | 0:02:58 | 0:03:00 | |
But then, as the millennia passed by, | 0:03:00 | 0:03:03 | |
more farmers, food and people. | 0:03:03 | 0:03:05 | |
And great empires could emerge, | 0:03:05 | 0:03:07 | |
Egypt, China, India | 0:03:07 | 0:03:10 | |
and, finally, Europe. | 0:03:10 | 0:03:12 | |
And population continued to grow, but very slowly. | 0:03:12 | 0:03:15 | |
And I stop here at the year 1800. | 0:03:15 | 0:03:19 | |
Because 1800, that's when world population became one billion. | 0:03:19 | 0:03:26 | |
Imagine, all that time the population growth | 0:03:26 | 0:03:30 | |
was just with a tiny fraction of a percent | 0:03:30 | 0:03:33 | |
through thousands of years. | 0:03:33 | 0:03:34 | |
But here, 1800, with the Industrial Revolution, | 0:03:34 | 0:03:38 | |
everything changed and population started to grow faster. | 0:03:38 | 0:03:41 | |
In little more than 100 years it reached two billion. | 0:03:41 | 0:03:45 | |
And then, you know, when I was at school, it was three billion. | 0:03:45 | 0:03:50 | |
And many people said "the planet cannot support more people," | 0:03:50 | 0:03:54 | |
even experts said that. | 0:03:54 | 0:03:56 | |
But what happens was this, you know, we became four billion, | 0:03:56 | 0:04:00 | |
five billion, six billion, seven billion. | 0:04:00 | 0:04:04 | |
Imagine, more than half of the world population | 0:04:04 | 0:04:09 | |
has been added during my lifetime | 0:04:09 | 0:04:11 | |
and the number is still rising. | 0:04:11 | 0:04:14 | |
Most of the population growth in recent years | 0:04:16 | 0:04:19 | |
has been in Asian countries, | 0:04:19 | 0:04:21 | |
like here in Bangladesh, where the population | 0:04:21 | 0:04:24 | |
has tripled during my lifetime | 0:04:24 | 0:04:27 | |
from 50 to more than 150 million. | 0:04:27 | 0:04:31 | |
HORN BLAST | 0:04:31 | 0:04:34 | |
It's now one of the most densely populated countries in the world. | 0:04:34 | 0:04:39 | |
Some 15 million already live in the very crowded capital Dhaka. | 0:04:39 | 0:04:45 | |
People here, whether in the city or the countryside, | 0:04:45 | 0:04:49 | |
are intensely concerned about the size of families. | 0:04:49 | 0:04:53 | |
BIRDSONG | 0:04:53 | 0:04:54 | |
But a new Bangladesh is emerging. | 0:04:54 | 0:04:57 | |
Like the Khan family - mum Taslima, | 0:04:57 | 0:05:01 | |
daughters Tanjina and little Sadia, | 0:05:01 | 0:05:04 | |
and dad Hannan. | 0:05:04 | 0:05:07 | |
Both Taslima and Hannan come from large families themselves, | 0:05:20 | 0:05:24 | |
but they've decided to have just two children. | 0:05:24 | 0:05:27 | |
Taslima and Hannan are part of a cultural shift | 0:05:56 | 0:05:59 | |
away from big families. | 0:05:59 | 0:06:02 | |
And for Taslima, it's also become a job. | 0:06:02 | 0:06:06 | |
She works for the government Family Planning Service, | 0:06:06 | 0:06:09 | |
which employs women like her in every village. | 0:06:09 | 0:06:12 | |
She goes door to door to try to help others to have smaller families too. | 0:06:12 | 0:06:18 | |
Taslima offers advice, moral support | 0:06:37 | 0:06:40 | |
and, most importantly, a range of contraceptives. | 0:06:40 | 0:06:43 | |
Condom. | 0:06:43 | 0:06:45 | |
So how successful has Taslima and Bangladesh | 0:07:23 | 0:07:26 | |
been in reducing fertility rate, | 0:07:26 | 0:07:29 | |
that is number of babies born per woman? | 0:07:29 | 0:07:32 | |
In Sweden we set up Gapminder Foundation | 0:07:32 | 0:07:35 | |
to make the world's data available | 0:07:35 | 0:07:37 | |
in a way that everyone can understand. | 0:07:37 | 0:07:40 | |
So I can show you the situation in Bangladesh and what has happened. | 0:07:40 | 0:07:43 | |
Here, a horizontal axis, babies per woman, | 0:07:43 | 0:07:47 | |
all the way from 1-2 to 7-8. | 0:07:47 | 0:07:51 | |
And here a vertical axis | 0:07:51 | 0:07:53 | |
that is lifespan, life expectancy, | 0:07:53 | 0:07:56 | |
how many years a newborn can expect to live, | 0:07:56 | 0:07:59 | |
from 30 all the way up to 90. | 0:07:59 | 0:08:02 | |
Now we start in 1972, | 0:08:02 | 0:08:06 | |
a very important year for Bangladesh, | 0:08:06 | 0:08:08 | |
the first full year of independence. | 0:08:08 | 0:08:11 | |
That year Bangladesh was over there | 0:08:11 | 0:08:14 | |
and they had on average seven babies per woman | 0:08:14 | 0:08:17 | |
and lifespan was less than 50 years. | 0:08:17 | 0:08:21 | |
So what has happened after independence? | 0:08:21 | 0:08:23 | |
Has life become longer in Bangladesh? | 0:08:23 | 0:08:26 | |
Have children become fewer? Here is the data. | 0:08:26 | 0:08:29 | |
I start with Bangladesh. | 0:08:29 | 0:08:30 | |
Indeed, life is getting longer and babies fewer. | 0:08:30 | 0:08:34 | |
Six. Five. | 0:08:34 | 0:08:35 | |
And life even longer. Four. Three. | 0:08:35 | 0:08:37 | |
And they land now almost to two. | 0:08:37 | 0:08:39 | |
It's 2.2 and the life span is 70. | 0:08:39 | 0:08:43 | |
It's absolutely amazing! | 0:08:43 | 0:08:45 | |
In 40 years, Bangladesh has gone | 0:08:45 | 0:08:49 | |
from seven, six, five, four, three, two. | 0:08:49 | 0:08:54 | |
It's a miracle that has happened in Bangladesh! | 0:08:54 | 0:08:58 | |
But is it only in Bangladesh? Well, I'll show you the whole world. | 0:08:58 | 0:09:03 | |
I will go back 50 years in time to 1963. | 0:09:03 | 0:09:08 | |
Here are all the countries. | 0:09:08 | 0:09:11 | |
These green ones is America, North and South. | 0:09:11 | 0:09:15 | |
The yellow ones is Europe, East and West. | 0:09:15 | 0:09:19 | |
And blue is Africa, north and south of the Sahara. | 0:09:19 | 0:09:22 | |
And red is Asia. | 0:09:22 | 0:09:24 | |
And we include Australia and New Zealand. | 0:09:24 | 0:09:27 | |
The size of the bubble shows the size of the population. | 0:09:27 | 0:09:31 | |
Look, the big ones over there | 0:09:31 | 0:09:33 | |
are China and India | 0:09:33 | 0:09:35 | |
and Bangladesh is just behind. | 0:09:35 | 0:09:38 | |
In 1963, the average number of babies | 0:09:38 | 0:09:41 | |
born per woman in the world was five. | 0:09:41 | 0:09:44 | |
But it was a divided world, can you see that? | 0:09:44 | 0:09:47 | |
These countries over here, the developed countries, | 0:09:47 | 0:09:51 | |
they had small families and long lives. | 0:09:51 | 0:09:55 | |
And then there were the developing countries over here, | 0:09:55 | 0:09:58 | |
and they had large families and short lives. | 0:09:58 | 0:10:01 | |
And very few were in between. | 0:10:01 | 0:10:03 | |
But now we'll see what has happened. | 0:10:03 | 0:10:06 | |
I start the world. Here we go! | 0:10:06 | 0:10:09 | |
And you can see that China is getting the big bubble, | 0:10:09 | 0:10:12 | |
it's getting better health. | 0:10:12 | 0:10:14 | |
And then they start family planning, they move along to smaller families. | 0:10:14 | 0:10:17 | |
And the big green... Look at Mexico! | 0:10:17 | 0:10:19 | |
Mexico is coming there! | 0:10:19 | 0:10:20 | |
And this is Brazil also. The green is Latin America. | 0:10:20 | 0:10:23 | |
And here India is following! India is following! | 0:10:23 | 0:10:25 | |
The big red bubbles are Asian countries going this way. | 0:10:25 | 0:10:28 | |
Many Africans are still with many babies born per woman. | 0:10:28 | 0:10:31 | |
And then Bangladesh over there | 0:10:31 | 0:10:33 | |
overtakes India on its way to the small family. | 0:10:33 | 0:10:36 | |
And now almost all go up to this bar. | 0:10:36 | 0:10:38 | |
Even Africa now starts to move up. Oooh! | 0:10:38 | 0:10:40 | |
That was the earthquake in Haiti. | 0:10:40 | 0:10:42 | |
And now everyone ends up there. What a change we have! | 0:10:42 | 0:10:46 | |
Today, you know, in the world the average is 2.5. | 0:10:48 | 0:10:53 | |
Imagine! | 0:10:53 | 0:10:54 | |
You know, it used to be, 50 years ago, five. | 0:10:54 | 0:10:58 | |
And the world has changed. | 0:10:58 | 0:10:59 | |
The average number of babies born per woman has gone from 5 to 2.5. | 0:10:59 | 0:11:05 | |
And it's still decreasing. What a big change! | 0:11:05 | 0:11:09 | |
People who think that Bangladesh and countries like that | 0:11:10 | 0:11:14 | |
is some sort of epicentre of a population bomb, | 0:11:14 | 0:11:17 | |
they couldn't be more wrong. | 0:11:17 | 0:11:19 | |
To me, health workers like Mrs Taslima and their colleagues, | 0:11:19 | 0:11:23 | |
who have taken their countries | 0:11:23 | 0:11:25 | |
from this side all over in a few decades | 0:11:25 | 0:11:29 | |
to much better health and small families, | 0:11:29 | 0:11:33 | |
they are the heroes of our time! | 0:11:33 | 0:11:35 | |
It's an amazing change that has happened! | 0:11:35 | 0:11:38 | |
We no longer live in a divided world. | 0:11:38 | 0:11:41 | |
But how much do people know about this amazing change? | 0:11:41 | 0:11:48 | |
At Gapminder we not only show data, | 0:11:48 | 0:11:51 | |
we also measure how much people know or don't know about the world. | 0:11:51 | 0:11:56 | |
So we did a first survey in Sweden. | 0:11:56 | 0:12:00 | |
-The results were depressing. -LAUGHTER | 0:12:00 | 0:12:03 | |
So we did our second survey in Britain and we had high hopes, | 0:12:03 | 0:12:07 | |
because the British have been all over the place, you know, | 0:12:07 | 0:12:10 | |
so we thought we would get good results here. | 0:12:10 | 0:12:13 | |
The first question we asked was - | 0:12:13 | 0:12:15 | |
And we gave four alternatives - | 0:12:18 | 0:12:20 | |
This is the result of the British survey. | 0:12:25 | 0:12:28 | |
But you know the right answer, it's 2.5. | 0:12:34 | 0:12:39 | |
Only 12% of the British got it right. | 0:12:39 | 0:12:43 | |
So we thought that perhaps it was those with low education | 0:12:43 | 0:12:47 | |
who dragged down the result. | 0:12:47 | 0:12:49 | |
So we segmented those who had been to the fine British universities | 0:12:49 | 0:12:53 | |
and had a university degree. | 0:12:53 | 0:12:55 | |
And here they are. | 0:12:55 | 0:12:57 | |
-This is the result. -LAUGHTER | 0:12:57 | 0:12:59 | |
-If anything, worse! -LAUGHTER | 0:13:03 | 0:13:06 | |
So now you may conclude | 0:13:06 | 0:13:08 | |
that the British lack knowledge about the world. | 0:13:08 | 0:13:11 | |
Uh-uh, uh-uh. | 0:13:11 | 0:13:12 | |
What if I would have asked | 0:13:12 | 0:13:15 | |
-this chap and his friends? -MONKEY CHITTERS | 0:13:15 | 0:13:17 | |
I would have written the different answers on bananas | 0:13:17 | 0:13:21 | |
and let them pick one banana each, you know. | 0:13:21 | 0:13:23 | |
This result I would get. | 0:13:23 | 0:13:25 | |
Of course, chimps know nothing about Bangladesh. | 0:13:26 | 0:13:29 | |
LAUGHTER | 0:13:29 | 0:13:31 | |
But by pure random, | 0:13:35 | 0:13:36 | |
they will pick twice as many correct answers as the British. | 0:13:36 | 0:13:39 | |
LAUGHTER | 0:13:39 | 0:13:41 | |
And of the British, | 0:13:41 | 0:13:42 | |
more than half of the British people think it's 4.5 or more. | 0:13:42 | 0:13:47 | |
The problem here is not lack of knowledge, it's pre-conceived ideas. | 0:13:49 | 0:13:54 | |
The British cannot even imagine, cannot even guess, | 0:13:54 | 0:13:58 | |
that women in Bangladesh have 2.5. | 0:13:58 | 0:14:00 | |
And you know it's really 2.2 already. | 0:14:00 | 0:14:03 | |
This is what the Brits don't know, | 0:14:03 | 0:14:05 | |
that Taslima and her family are the norm in Bangladesh today, | 0:14:05 | 0:14:08 | |
the most common family size. | 0:14:08 | 0:14:11 | |
And it's not only there, it's all over the world. | 0:14:11 | 0:14:14 | |
In Brazil, two-child families. | 0:14:14 | 0:14:17 | |
Vietnam, two-child families. | 0:14:17 | 0:14:20 | |
And...even in India the most common family size is two children today. | 0:14:22 | 0:14:27 | |
And also, if you go to the African continent, | 0:14:27 | 0:14:30 | |
you go to the big cities, here Addis Ababa, | 0:14:30 | 0:14:32 | |
you have less than two children per woman today in Addis Ababa. | 0:14:32 | 0:14:35 | |
They can be Muslim, Buddhist, Hindu, Christian - | 0:14:35 | 0:14:40 | |
there's not one religion, not one culture, | 0:14:40 | 0:14:43 | |
not one continent where two-child families cannot happen. | 0:14:43 | 0:14:47 | |
This change from big families down to two-child families | 0:14:47 | 0:14:51 | |
is one of the most important things | 0:14:51 | 0:14:53 | |
that has happened in the world during my lifetime. | 0:14:53 | 0:14:57 | |
It's unprecedented in human history. | 0:14:57 | 0:14:59 | |
Here we are back in Bangladesh. | 0:15:05 | 0:15:08 | |
Let's find the reasons behind this historic and continuing shift | 0:15:08 | 0:15:13 | |
from large to small families. | 0:15:13 | 0:15:16 | |
Almost all girls in Muslim Bangladesh, | 0:15:16 | 0:15:19 | |
like 15-year-old Tanjina, go to school today. | 0:15:19 | 0:15:23 | |
The government now even pays families money | 0:15:23 | 0:15:27 | |
to keep their daughters on at secondary level. | 0:15:27 | 0:15:30 | |
At Tanjina's school boys are now outnumbered by girls. | 0:15:30 | 0:15:35 | |
You could hardly miss the point of this lesson. | 0:15:46 | 0:15:49 | |
Education is effective. | 0:15:57 | 0:16:00 | |
And there are also new opportunities for Bangladeshi women. | 0:16:00 | 0:16:03 | |
Despite continuing inequalities | 0:16:03 | 0:16:06 | |
there are more jobs, and Tanjina is aiming high. | 0:16:06 | 0:16:10 | |
More and more young women here | 0:16:26 | 0:16:28 | |
are seeing how different things could be for them. | 0:16:28 | 0:16:31 | |
It's wonderful to see Taslima | 0:17:09 | 0:17:11 | |
so full of hope for a bright future for her two daughters. | 0:17:11 | 0:17:15 | |
But one essential transformation underpins the change in Bangladesh. | 0:17:15 | 0:17:21 | |
It's a dramatic improvement in child survival. | 0:17:21 | 0:17:24 | |
MUSLIM CALL TO PRAYER | 0:17:27 | 0:17:30 | |
It's Ramadan, the Muslim month of fasting and reflection. | 0:17:30 | 0:17:35 | |
At this auspicious time, | 0:17:35 | 0:17:37 | |
Hannan is helping his parents to tend the family graveyard. | 0:17:37 | 0:17:42 | |
Three of Hannan's siblings died when they were very young. | 0:17:46 | 0:17:51 | |
They're buried here. | 0:17:51 | 0:17:54 | |
Back when Hannan's parents were a young couple, | 0:18:08 | 0:18:12 | |
one in five children in Bangladesh | 0:18:12 | 0:18:14 | |
died before they reached five years of age. | 0:18:14 | 0:18:18 | |
All families lived with the constant fear of losing one or more children. | 0:18:18 | 0:18:23 | |
In the last few decades, Bangladesh has made great progress | 0:18:42 | 0:18:46 | |
in basic health, particularly in child survival. | 0:18:46 | 0:18:50 | |
Vaccines, treatment of infections and better nutrition | 0:18:50 | 0:18:53 | |
and hygiene have all saved the lives of millions of children. | 0:18:53 | 0:18:57 | |
And as parents have come to see that all of their children are now likely | 0:18:57 | 0:19:02 | |
to survive, the biggest obstacle to family planning has at last gone. | 0:19:02 | 0:19:08 | |
Even in the slums of Dhaka, | 0:19:08 | 0:19:10 | |
women now have, on average, just two children. | 0:19:10 | 0:19:13 | |
Child survival drives everything. | 0:19:20 | 0:19:23 | |
Let's go back into history. | 0:19:23 | 0:19:25 | |
Why did the world population grow so slowly before 1800? | 0:19:25 | 0:19:30 | |
Well, throughout history all historical records show us | 0:19:30 | 0:19:34 | |
that, on average, two parents got more or less six children. | 0:19:34 | 0:19:40 | |
But that looks as a very fast population growth. | 0:19:40 | 0:19:43 | |
So why didn't it grow? Because one, two, three, four of the children | 0:19:43 | 0:19:48 | |
died before growing up to become parents themselves. | 0:19:48 | 0:19:52 | |
People in the past never lived in ecological balance with nature, | 0:19:52 | 0:19:58 | |
they died in ecological balance with nature! | 0:19:58 | 0:20:00 | |
It was utterly tragic. | 0:20:01 | 0:20:04 | |
But with the Industrial Revolution, this changed. | 0:20:06 | 0:20:09 | |
Better wages, more food, tapped water, | 0:20:09 | 0:20:12 | |
better sanitation, soap, medical advances, you know. | 0:20:12 | 0:20:17 | |
So why then from all these advances, why did population grow? | 0:20:17 | 0:20:20 | |
Was it because they got more children? No. | 0:20:20 | 0:20:23 | |
1963, that year when I was at school, | 0:20:23 | 0:20:27 | |
actually the number of children per woman | 0:20:27 | 0:20:29 | |
had decreased a little in the world to five. | 0:20:29 | 0:20:32 | |
And the reason for the fast population growth | 0:20:32 | 0:20:35 | |
was the improved child survival. | 0:20:35 | 0:20:38 | |
Four survived at that time. | 0:20:38 | 0:20:41 | |
But still one out of five died, that was still terrible. | 0:20:41 | 0:20:45 | |
So it's only in the recent decades | 0:20:45 | 0:20:48 | |
that most of the countries | 0:20:48 | 0:20:50 | |
have taken big leaps forward in child survival | 0:20:50 | 0:20:53 | |
and in family planning, so that we are now approaching the new balance. | 0:20:53 | 0:20:58 | |
And it's a nice balance. | 0:20:58 | 0:21:00 | |
Two parents, on average, get two children that survive. | 0:21:00 | 0:21:04 | |
We have families in a very happy balance. | 0:21:04 | 0:21:08 | |
This is the most normal family situation in the world today. | 0:21:08 | 0:21:12 | |
And what does this mean for the future here? | 0:21:12 | 0:21:15 | |
I will show you the projection, the best projection into the future | 0:21:15 | 0:21:19 | |
from the finest demographers we have | 0:21:19 | 0:21:22 | |
at the Population Division of the United Nations. | 0:21:22 | 0:21:25 | |
And it looks like this. It's going to continue first | 0:21:25 | 0:21:29 | |
up to eight and then it goes up to nine and then it goes here. | 0:21:29 | 0:21:33 | |
But, see, it's slowing down, it's slowing down! | 0:21:33 | 0:21:35 | |
By the end of the century, it's becoming more flat there. | 0:21:35 | 0:21:39 | |
And if I do a close-up on this, you can see that we are expecting | 0:21:39 | 0:21:45 | |
a slowing down and the end of fast population growth. | 0:21:45 | 0:21:49 | |
But, of course, this is a projection | 0:21:51 | 0:21:53 | |
that has a certain degree of uncertainty. | 0:21:53 | 0:21:55 | |
But we are sure that we are at the end | 0:21:55 | 0:21:58 | |
of fast population growth within this century. | 0:21:58 | 0:22:02 | |
It's all due to a remarkable effect of the falling fertility rate. | 0:22:02 | 0:22:06 | |
Look here, if we go back into this. | 0:22:06 | 0:22:08 | |
I'll show this by showing you the number of children in the world. | 0:22:08 | 0:22:12 | |
The number of children from 0-15 years of age. | 0:22:12 | 0:22:16 | |
Here they come. | 0:22:16 | 0:22:17 | |
Look, the number of children there increased slowly, | 0:22:17 | 0:22:21 | |
and then also it increased rapidly. | 0:22:21 | 0:22:23 | |
So by the turn of the century here | 0:22:23 | 0:22:25 | |
there were two billion children in the world. | 0:22:25 | 0:22:28 | |
And to me that was an important year, | 0:22:28 | 0:22:31 | |
because that was when Doris was born, that's my first grandchild. | 0:22:31 | 0:22:36 | |
And she was born at a very special time for children in the world, | 0:22:36 | 0:22:41 | |
because the specialists, the demographers, | 0:22:41 | 0:22:43 | |
estimate that from this year | 0:22:43 | 0:22:46 | |
the number of children in the world will continue like this. | 0:22:46 | 0:22:50 | |
It will not increase any longer. | 0:22:50 | 0:22:53 | |
By the end of the century, | 0:22:53 | 0:22:54 | |
we will still have two billion children in the world. | 0:22:54 | 0:22:58 | |
When Doris was born | 0:22:58 | 0:23:00 | |
is when the world entered into the age of "peak child". | 0:23:00 | 0:23:06 | |
The number of children are not increasing. | 0:23:06 | 0:23:09 | |
Now...this will confuse you, | 0:23:09 | 0:23:12 | |
because how can then the total population grow like this | 0:23:12 | 0:23:17 | |
if the children doesn't increase? | 0:23:17 | 0:23:19 | |
Where will all these adults come from? | 0:23:19 | 0:23:22 | |
And to explain that I have to leave this fancy digital stuff | 0:23:22 | 0:23:26 | |
and show you real powerful educational material | 0:23:26 | 0:23:29 | |
we have developed. | 0:23:29 | 0:23:31 | |
And it's here. | 0:23:31 | 0:23:33 | |
I will show you the world population, ladies and gentlemen, | 0:23:33 | 0:23:36 | |
in the form of foam blocks. | 0:23:36 | 0:23:39 | |
LAUGHTER | 0:23:39 | 0:23:41 | |
One block is one billion. | 0:23:41 | 0:23:44 | |
One block is one billion. | 0:23:44 | 0:23:46 | |
And that means that we have two billion children in the world. | 0:23:46 | 0:23:50 | |
Then we have two billion between 15 and 30 years of age. | 0:23:50 | 0:23:55 | |
These are rounded numbers. | 0:23:55 | 0:23:57 | |
We have one billion 30-45. | 0:23:57 | 0:24:00 | |
We have one billion 45-60. | 0:24:00 | 0:24:04 | |
And then we have my block, | 0:24:04 | 0:24:05 | |
60 years and older. | 0:24:05 | 0:24:07 | |
We are here on top. | 0:24:07 | 0:24:09 | |
This is the world population today. | 0:24:09 | 0:24:11 | |
And you can see that there are three billions missing like here. | 0:24:11 | 0:24:16 | |
Only a few of them are missing because they have died. | 0:24:16 | 0:24:18 | |
Most of them are missing because they were never born. | 0:24:18 | 0:24:22 | |
Because back then, you know, before 1980, | 0:24:22 | 0:24:25 | |
there were much fewer children born in the world, | 0:24:25 | 0:24:28 | |
because there were fewer women giving birth to children. | 0:24:28 | 0:24:31 | |
So this is what we have today. | 0:24:31 | 0:24:33 | |
Now what will happen in the future? | 0:24:33 | 0:24:35 | |
Do you know what happens to old people like me? | 0:24:35 | 0:24:39 | |
They die, yes. | 0:24:39 | 0:24:41 | |
There is someone here who works in hospitals, yeah. | 0:24:41 | 0:24:43 | |
-LAUGHTER -So they die. | 0:24:43 | 0:24:47 | |
The rest, they grow 15 years older and have two billion children. | 0:24:47 | 0:24:52 | |
These ones are now old, time to die. | 0:24:52 | 0:24:55 | |
And then these ones grow 15 years older | 0:24:55 | 0:24:58 | |
and they have two billion children. | 0:24:58 | 0:25:00 | |
This one dies and the rest grow 15 years older | 0:25:00 | 0:25:03 | |
and have two billion children. | 0:25:03 | 0:25:05 | |
And without increasing the number of children, | 0:25:05 | 0:25:08 | |
without increasing the length of life, | 0:25:08 | 0:25:11 | |
we have three billion people more | 0:25:11 | 0:25:14 | |
by this big inevitable fill-up of adults, | 0:25:14 | 0:25:17 | |
which will happen just when the large young generations grow up. | 0:25:17 | 0:25:21 | |
Now there is one more detail, | 0:25:21 | 0:25:23 | |
which is good news for the older ones here like me, | 0:25:23 | 0:25:27 | |
that it's estimated that the old people will live a little longer. | 0:25:27 | 0:25:31 | |
So we have to add one billion more for the old here on top. | 0:25:31 | 0:25:35 | |
And I'm desperately hoping that I will be part of that group, | 0:25:35 | 0:25:39 | |
because then I can live long and read the annual statistics | 0:25:39 | 0:25:42 | |
as they come reporting every year, you know. | 0:25:42 | 0:25:45 | |
But when I talk to many fine environmental activists, | 0:25:45 | 0:25:48 | |
who really have a good concern about the environment, | 0:25:48 | 0:25:52 | |
they very often tell me, | 0:25:52 | 0:25:53 | |
"We have to stop population growth at eight billion!" | 0:25:53 | 0:25:56 | |
But when I then talk with them, | 0:25:57 | 0:25:59 | |
first, they don't know that we have reached peak child, | 0:25:59 | 0:26:02 | |
and then they are completely unaware | 0:26:02 | 0:26:04 | |
that most of the remaining population growth | 0:26:04 | 0:26:07 | |
is an inevitable fill-up of adults. | 0:26:07 | 0:26:10 | |
So we will end up | 0:26:10 | 0:26:12 | |
with more or less this amount of people. | 0:26:12 | 0:26:15 | |
So we know how many billions there will be, | 0:26:15 | 0:26:19 | |
but what about where they live... now and in the future? | 0:26:19 | 0:26:23 | |
There you have the world | 0:26:27 | 0:26:29 | |
and here are the seven billion. | 0:26:29 | 0:26:31 | |
Now out of the seven billion, | 0:26:32 | 0:26:34 | |
one live in the Americas, | 0:26:34 | 0:26:36 | |
North and South together. | 0:26:36 | 0:26:39 | |
One in Europe. One in Africa. | 0:26:39 | 0:26:44 | |
And four in Asia. | 0:26:44 | 0:26:47 | |
So this is now. But how to remember this? | 0:26:47 | 0:26:50 | |
I have a very simple way of remembering this. | 0:26:50 | 0:26:52 | |
I put up the numbers like this | 0:26:52 | 0:26:53 | |
and then I say this is the PIN code of the world...1-1-1-4. | 0:26:53 | 0:26:57 | |
Now, what will happen up to mid-century? | 0:26:57 | 0:27:01 | |
That we know fairly well. | 0:27:01 | 0:27:03 | |
Europe, no increase. In fact, the European population is decreasing. | 0:27:03 | 0:27:08 | |
In America, a little more people, | 0:27:08 | 0:27:10 | |
mainly retired people in Latin America, | 0:27:10 | 0:27:12 | |
so it makes no difference, it's almost the same. | 0:27:12 | 0:27:16 | |
In Asia we will have one billion more. | 0:27:16 | 0:27:19 | |
And then the population growth in Asia is over. | 0:27:19 | 0:27:22 | |
In Africa in the next 40 years, | 0:27:22 | 0:27:25 | |
the population will double to two billion. | 0:27:25 | 0:27:28 | |
Now to the end of the century. | 0:27:28 | 0:27:31 | |
Well, we know quite well no more people in Europe, | 0:27:31 | 0:27:33 | |
no more in America, no more in Asia, | 0:27:33 | 0:27:35 | |
but Africa is set, as we have data today, | 0:27:35 | 0:27:39 | |
for another doubling, so there will be four billion in Africa. | 0:27:39 | 0:27:44 | |
In 2100...and probably the final PIN code will be 1-1-4-5. | 0:27:44 | 0:27:51 | |
So in 2100, there will be quite a different world. | 0:27:52 | 0:27:56 | |
The people who live in what I call the Old West, | 0:27:56 | 0:27:59 | |
in West Europe and North America, | 0:27:59 | 0:28:01 | |
will by then be less than 10% of the world population. | 0:28:01 | 0:28:05 | |
80% of the world population will be living in Asia and Africa. | 0:28:05 | 0:28:09 | |
But will there be resources enough to sustain them? | 0:28:09 | 0:28:13 | |
Well, this will be a huge challenge, and nothing will come automatically. | 0:28:13 | 0:28:19 | |
But my take is that it is possible | 0:28:19 | 0:28:23 | |
for all these billions to live well together. | 0:28:23 | 0:28:27 | |
Certainly it's easy to see the potential | 0:28:35 | 0:28:37 | |
for a prosperous and peaceful Asia with five billion people. | 0:28:37 | 0:28:42 | |
Japan, South Korea and others are already rich. | 0:28:42 | 0:28:46 | |
Following them on the road to wealth | 0:28:46 | 0:28:48 | |
are larger and larger parts of China, India, Indonesia, | 0:28:48 | 0:28:53 | |
and many other Asian countries. | 0:28:53 | 0:28:55 | |
Even in poorer Asian countries more and more are getting a decent life. | 0:28:55 | 0:29:00 | |
HORNS BLARE | 0:29:00 | 0:29:02 | |
But what about a future Africa of as much as four billion? | 0:29:02 | 0:29:08 | |
Won't most of them be living in terrible poverty? | 0:29:08 | 0:29:12 | |
I have seen extreme poverty in Africa. | 0:29:14 | 0:29:17 | |
30 years ago, I spent the two most intense years of my life | 0:29:17 | 0:29:23 | |
working as a medical doctor | 0:29:23 | 0:29:25 | |
in one of the poorest countries, | 0:29:25 | 0:29:27 | |
Mozambique on the east coast of Africa. | 0:29:27 | 0:29:31 | |
Mozambique had just become independent | 0:29:31 | 0:29:34 | |
after a long war against the colonial power Portugal. | 0:29:34 | 0:29:39 | |
And my job was to be one of two doctors, | 0:29:39 | 0:29:43 | |
we were born foreigners, for 300,000 people. | 0:29:43 | 0:29:47 | |
And this was the hospital. | 0:29:47 | 0:29:50 | |
My wife was also there working as a midwife. | 0:29:50 | 0:29:53 | |
This is the entire staff of the hospital. | 0:29:53 | 0:29:56 | |
Those with white coats had the chance during the colonial period | 0:29:56 | 0:30:00 | |
to get a professional training of at least one year. | 0:30:00 | 0:30:04 | |
The others, many of them couldn't even read and write, | 0:30:04 | 0:30:07 | |
but they all worked with such dedication and motivation. | 0:30:07 | 0:30:12 | |
But the patients came with the worst diseases of extreme poverty | 0:30:12 | 0:30:18 | |
and our resources were often not enough. | 0:30:18 | 0:30:21 | |
And especially my skills as a young doctor | 0:30:21 | 0:30:25 | |
did not meet the needs of the patients. | 0:30:25 | 0:30:28 | |
Mozambique is still today a very poor country, | 0:30:28 | 0:30:31 | |
but things have improved immensely since I was there 30 years ago. | 0:30:31 | 0:30:36 | |
For a start, there's now a brand-new hospital | 0:30:42 | 0:30:45 | |
in the town where I worked 30 years ago. | 0:30:45 | 0:30:48 | |
The new, much bigger hospital, | 0:30:50 | 0:30:52 | |
has 15 doctors and 11 of them are Mozambicans. | 0:30:52 | 0:30:56 | |
All the staff are now well trained. | 0:30:56 | 0:30:59 | |
The director of the hospital is Dr Cashimo, the obstetrician. | 0:31:01 | 0:31:06 | |
The transformation here is amazing to me. | 0:31:15 | 0:31:18 | |
They routinely save women in childbirth with Caesareans, | 0:31:30 | 0:31:34 | |
something that was impossible when I was there. | 0:31:34 | 0:31:37 | |
Everything has improved so much. | 0:31:54 | 0:31:56 | |
Those born in Mozambique today should have a much brighter future. | 0:31:57 | 0:32:02 | |
BABY CRIES | 0:32:04 | 0:32:06 | |
Not just because of better health, but a booming economy too, | 0:32:06 | 0:32:11 | |
with busy ports and markets | 0:32:11 | 0:32:13 | |
and new industries with lots of new jobs. | 0:32:13 | 0:32:17 | |
I know you might be thinking that this good news | 0:32:21 | 0:32:24 | |
is just about cities and towns. | 0:32:24 | 0:32:26 | |
And it's true, the worst challenge | 0:32:26 | 0:32:29 | |
is in the rural areas where most people live. | 0:32:29 | 0:32:32 | |
But things are changing here too. | 0:32:33 | 0:32:35 | |
Deep in rural northern Mozambique lies the district of Mogovolas. | 0:32:39 | 0:32:44 | |
This is home for Olivia, Andre and their young family. | 0:32:46 | 0:32:50 | |
Like so many other poor people in the world, | 0:32:52 | 0:32:55 | |
Olivia and Andre are farmers, | 0:32:55 | 0:32:57 | |
reliant on what they grow for what they eat. | 0:32:57 | 0:33:00 | |
It's 4am and the day's tasks beckon. | 0:33:06 | 0:33:10 | |
Andre heads straight to the fields. Olivia first goes to fetch water. | 0:33:12 | 0:33:18 | |
Both have to walk miles to get anywhere. | 0:33:18 | 0:33:21 | |
With no other means of transport, everything has to be carried. | 0:33:39 | 0:33:44 | |
Olivia and Andre have eight children. | 0:33:49 | 0:33:52 | |
Fertility rates are still high in much of rural Africa | 0:33:52 | 0:33:55 | |
and it's the poorest families who have the most mouths to feed. | 0:33:55 | 0:34:00 | |
Anything this family can spare, they'll sell. | 0:34:00 | 0:34:04 | |
Yet, economic growth is slowly trickling into the countryside. | 0:34:23 | 0:34:28 | |
Now Andre has set his sights | 0:34:35 | 0:34:37 | |
on one thing he believes will change everything. | 0:34:37 | 0:34:40 | |
Bicycles can make a huge difference to the lives of the rural poor. | 0:34:48 | 0:34:53 | |
They save hours every day and get so much more done. | 0:34:53 | 0:34:58 | |
With a bicycle, they can carry much heavier loads to the market | 0:34:58 | 0:35:02 | |
and earn more money. | 0:35:02 | 0:35:04 | |
They can travel to find work. | 0:35:04 | 0:35:06 | |
And if they get sick, they can reach a health clinic in time. | 0:35:06 | 0:35:10 | |
Andre and Olivia have been putting money away for two years. | 0:35:23 | 0:35:27 | |
They haven't quite enough yet. | 0:35:27 | 0:35:30 | |
Everything now depends on the sesame seeds | 0:35:30 | 0:35:33 | |
which they are just harvesting. | 0:35:33 | 0:35:35 | |
If they can get a good price, they might just make it. | 0:35:35 | 0:35:39 | |
Andre and Olivia live in one of the poorest countries | 0:35:42 | 0:35:46 | |
and they live in the rural area, | 0:35:46 | 0:35:48 | |
which is the poorest part of that country. | 0:35:48 | 0:35:50 | |
So how many people are there in the world living like them, | 0:35:50 | 0:35:54 | |
and how many are there that are poorer? | 0:35:54 | 0:35:57 | |
I'm going to show you this yardstick. | 0:35:57 | 0:35:59 | |
Very simple - poor and rich. | 0:35:59 | 0:36:02 | |
And here I have all the seven billions again. | 0:36:02 | 0:36:05 | |
They are in a very simplified way | 0:36:05 | 0:36:08 | |
lined up there from the poorest to the richest. | 0:36:08 | 0:36:11 | |
Now, how much does the richest billion earn here, | 0:36:11 | 0:36:15 | |
in dollars per day, right? | 0:36:15 | 0:36:17 | |
Let's look here. Ooh! | 0:36:17 | 0:36:20 | |
It's coming up! It's coming up! Ooh! Yoi-yoi! Yoi-yoi! | 0:36:20 | 0:36:23 | |
-I can't even reach. 100 a day. -LAUGHTER | 0:36:23 | 0:36:27 | |
Then, let's look at the middle billion, | 0:36:27 | 0:36:29 | |
who is exactly in the middle, how much do they earn? | 0:36:29 | 0:36:32 | |
It'll come. Yes, yes. | 0:36:32 | 0:36:35 | |
Just 10. | 0:36:35 | 0:36:37 | |
And then I go over here to the poorest billion. | 0:36:37 | 0:36:40 | |
How much do they get? | 0:36:40 | 0:36:41 | |
Well...just 1. | 0:36:41 | 0:36:45 | |
This is the difference of the world today. | 0:36:45 | 0:36:49 | |
And the economists draw a line, | 0:36:49 | 0:36:52 | |
which they call the line for extreme poverty a little above 1, | 0:36:52 | 0:36:56 | |
that's when you hardly can have enough food to feed the family. | 0:36:56 | 0:36:59 | |
You cannot be sure that you have food all days. | 0:36:59 | 0:37:02 | |
And one billion is clearly below that still. | 0:37:02 | 0:37:05 | |
And the second billion is sort of divided by that line. | 0:37:05 | 0:37:09 | |
And then the others are above it. | 0:37:09 | 0:37:11 | |
Now, the poorest people, they can hardly afford to buy shoes. | 0:37:11 | 0:37:16 | |
And when they get shoes | 0:37:16 | 0:37:18 | |
the next thing they will save for is a bicycle. | 0:37:18 | 0:37:21 | |
This is where Andre and Olivia is. | 0:37:21 | 0:37:23 | |
And after a bicycle, you will go for the motorbike. | 0:37:23 | 0:37:26 | |
And then after the motorbike, it's the car. | 0:37:26 | 0:37:30 | |
And I remember when my family got its first car, | 0:37:30 | 0:37:33 | |
it was a small, grey Volkswagen. | 0:37:33 | 0:37:35 | |
The first thing we did was to go to Norway on holiday, | 0:37:35 | 0:37:38 | |
because Norway is so much more beautiful than Sweden. | 0:37:38 | 0:37:41 | |
-It was a fantastic trip. -LAUGHTER | 0:37:41 | 0:37:43 | |
And now I'm in this group, I can go like the richest billion, | 0:37:43 | 0:37:48 | |
we can go on holiday by airplanes. | 0:37:48 | 0:37:51 | |
Of course, there are people | 0:37:51 | 0:37:52 | |
who are much richer than the airplane people. | 0:37:52 | 0:37:54 | |
Some are so rich, they are even contemplating | 0:37:54 | 0:37:57 | |
that they should go as tourists out into space. | 0:37:57 | 0:38:00 | |
And the difference in income from the airplane people | 0:38:00 | 0:38:04 | |
to the very richest over there | 0:38:04 | 0:38:06 | |
is almost as big as it is from the airplane people here, you know, | 0:38:06 | 0:38:11 | |
all the way down to the poorest on that side. | 0:38:11 | 0:38:14 | |
Now, the most important to remember from this yardstick is this. | 0:38:14 | 0:38:20 | |
And to show you this, I need my stepladder. | 0:38:20 | 0:38:23 | |
-Sometimes you need some old well-functioning technology also. -LAUGHTER | 0:38:23 | 0:38:29 | |
Here. | 0:38:29 | 0:38:30 | |
I can only reach up... Here they are, now I'm at the top. | 0:38:35 | 0:38:39 | |
The problem for us living on 100 a day | 0:38:39 | 0:38:44 | |
is that when we look down on those who have 10 or 1, | 0:38:44 | 0:38:49 | |
they look equally poor. | 0:38:49 | 0:38:51 | |
We can't see the difference. | 0:38:51 | 0:38:53 | |
It looks as if everyone is living on the same amount of money. | 0:38:53 | 0:38:56 | |
And they say, "Oh, they are all poor." | 0:38:56 | 0:38:59 | |
No! I can assure you, | 0:38:59 | 0:39:01 | |
because I've met and talked with people who live down here, | 0:39:01 | 0:39:05 | |
and I can assure you that the people down here, | 0:39:05 | 0:39:10 | |
they know very well how much better life would be | 0:39:10 | 0:39:14 | |
if they would move from 1 to 10 - ten times as much income. | 0:39:14 | 0:39:19 | |
This is a huge difference. | 0:39:19 | 0:39:21 | |
And to understand this, | 0:39:21 | 0:39:25 | |
this is what Olivia and Andre are trying to do now. | 0:39:25 | 0:39:29 | |
Each little step they take along this line here, | 0:39:29 | 0:39:33 | |
from the shoes towards the bicycle, | 0:39:33 | 0:39:36 | |
small as it may seem from a far distance, | 0:39:36 | 0:39:40 | |
makes a huge difference in their life. | 0:39:40 | 0:39:42 | |
And if Andre and Olivia would get that bicycle, | 0:39:42 | 0:39:46 | |
it would speed them along to a better life | 0:39:46 | 0:39:49 | |
and better wealth up in this end. | 0:39:49 | 0:39:52 | |
Today, Andre and Olivia are preparing to sell the sesame crop | 0:39:53 | 0:39:57 | |
they've been growing for many months. | 0:39:57 | 0:39:59 | |
But Andre and Olivia will have to be careful | 0:40:11 | 0:40:14 | |
if they are to get paid the proper price. | 0:40:14 | 0:40:18 | |
Andre is going to do the selling. | 0:40:41 | 0:40:44 | |
And for the last time, he hopes, | 0:40:44 | 0:40:47 | |
he has to get help to transport the crop to market. | 0:40:47 | 0:40:50 | |
Andre now needs to keep his wits about him. | 0:40:54 | 0:40:57 | |
The deal is done and Andre's happy with the price he's got. | 0:41:04 | 0:41:08 | |
BELL RINGS | 0:41:15 | 0:41:16 | |
It's the moment the family have worked so hard for. | 0:41:16 | 0:41:20 | |
Andre's journey to market took all morning to walk. | 0:41:39 | 0:41:43 | |
Now, in less than an hour, he can ride home. | 0:41:43 | 0:41:47 | |
BELL RINGS | 0:41:50 | 0:41:52 | |
ALL SING | 0:42:05 | 0:42:08 | |
The bicycle is put to use at once. | 0:42:08 | 0:42:11 | |
The children fetch water with it. | 0:42:11 | 0:42:14 | |
Andre carries more crops to the market. | 0:42:14 | 0:42:18 | |
And, just as importantly, Olivia and Andre | 0:42:18 | 0:42:20 | |
can now easily reach their lessons for adults, | 0:42:20 | 0:42:23 | |
so they can learn better maths and how to read and write. | 0:42:23 | 0:42:27 | |
SHE LAUGHS | 0:42:36 | 0:42:38 | |
It's so great to see Olivia and Andre | 0:42:45 | 0:42:48 | |
pedalling their way out of extreme poverty. | 0:42:48 | 0:42:52 | |
And they use the bicycle to go to literacy classes. | 0:42:52 | 0:42:55 | |
Education is so important for the progress of people and nations. | 0:42:55 | 0:43:01 | |
But how many know | 0:43:01 | 0:43:03 | |
what has really happened with education in the world? | 0:43:03 | 0:43:06 | |
Time for the great British ignorance survey again. Here we go. | 0:43:06 | 0:43:11 | |
We asked... | 0:43:11 | 0:43:13 | |
Can read and write? | 0:43:15 | 0:43:18 | |
Can I ask the audience? | 0:43:18 | 0:43:19 | |
How many guessed 20%? Hands up. | 0:43:19 | 0:43:23 | |
40%? | 0:43:24 | 0:43:26 | |
60%? | 0:43:26 | 0:43:29 | |
And 80%? Ahh! | 0:43:29 | 0:43:32 | |
-Ja! Ja! -LAUGHTER | 0:43:32 | 0:43:33 | |
This is the result of the British sample. | 0:43:33 | 0:43:35 | |
By now, you can use the result of the British survey | 0:43:42 | 0:43:46 | |
to find out what the right answer is, isn't it? | 0:43:46 | 0:43:49 | |
Of course, it's 80%. That is the right answer. | 0:43:49 | 0:43:53 | |
At least you were clearly better than the British average. | 0:43:53 | 0:43:56 | |
Yes, 80% of the population in the world can read and write today. | 0:43:56 | 0:44:01 | |
Literacy is 80%. Actually, the last figure is a little higher. | 0:44:01 | 0:44:06 | |
So if I would have compared that with the chimps again, you know, | 0:44:06 | 0:44:10 | |
so once more you only get random results from the chimps. | 0:44:10 | 0:44:13 | |
But you get three times as many correct answers | 0:44:13 | 0:44:17 | |
than you get from the British. | 0:44:17 | 0:44:19 | |
And now the university people. | 0:44:19 | 0:44:21 | |
Perhaps they know this. Oh, even worse. | 0:44:23 | 0:44:26 | |
What on earth are they teaching at British universities?! | 0:44:26 | 0:44:30 | |
The common view about the world is outdated by several decades. | 0:44:30 | 0:44:34 | |
The media have missed to communicate it. | 0:44:34 | 0:44:37 | |
But perhaps this is because the world is changing so fast. | 0:44:37 | 0:44:41 | |
Ladies and gentlemen, | 0:44:41 | 0:44:43 | |
I'm going to give you my all-time favourite graph. | 0:44:43 | 0:44:47 | |
I'm going to show you the history of 200 countries during 200 years | 0:44:47 | 0:44:52 | |
in less than one minute. | 0:44:52 | 0:44:55 | |
I have an axis...for income. | 0:44:55 | 0:44:58 | |
I have an axis for life span. | 0:44:58 | 0:45:01 | |
I start in 1800 and there are all the countries. | 0:45:01 | 0:45:05 | |
And back in 1800, | 0:45:05 | 0:45:07 | |
everyone was down in the poor and sick corner, can you see? | 0:45:07 | 0:45:10 | |
Low life span, little money. | 0:45:10 | 0:45:12 | |
And here comes the effect of the Industrial Revolution. | 0:45:12 | 0:45:15 | |
Of course, the countries in West Europe are coming to better wealth, | 0:45:15 | 0:45:19 | |
but they're not getting much healthier in the beginning. | 0:45:19 | 0:45:21 | |
And those under colonial domination doesn't benefit anything in there, | 0:45:21 | 0:45:25 | |
they remain there in the second poor corner. | 0:45:25 | 0:45:27 | |
And now health is improving, health is slowly improving here, | 0:45:27 | 0:45:30 | |
it's getting up here and we are coming into the new century. | 0:45:30 | 0:45:33 | |
And the terrible First World War! | 0:45:33 | 0:45:35 | |
And then the economic recession after that. | 0:45:35 | 0:45:38 | |
And then the Second World War. | 0:45:38 | 0:45:40 | |
Ooh! And now independence. | 0:45:40 | 0:45:42 | |
And with independence health is improving | 0:45:42 | 0:45:45 | |
faster than it ever did in other countries here. | 0:45:45 | 0:45:47 | |
And now starts the fast economic catch-up of China | 0:45:47 | 0:45:51 | |
and other Latin American countries. | 0:45:51 | 0:45:53 | |
They come on here, you know. And India is following there. | 0:45:53 | 0:45:57 | |
And the African countries are also following. | 0:45:57 | 0:45:59 | |
It's an amazing change that has happened in the world. | 0:45:59 | 0:46:02 | |
You know, in the front here, we have now the US and UK, | 0:46:02 | 0:46:06 | |
but they're not moving so fast any longer. | 0:46:06 | 0:46:09 | |
The fast movers are here in the middle. | 0:46:09 | 0:46:11 | |
China is moving very fast to catch up. | 0:46:11 | 0:46:14 | |
And Bangladesh... Look, Bangladesh is already here, | 0:46:14 | 0:46:17 | |
now quite healthy and now starting with fast economic growth. | 0:46:17 | 0:46:20 | |
And Mozambique? Yes, Mozambique is back there, | 0:46:20 | 0:46:23 | |
but they are now moving fast in the right direction. | 0:46:23 | 0:46:26 | |
But all this I show you is country averages. | 0:46:26 | 0:46:30 | |
What about people? | 0:46:30 | 0:46:33 | |
Have people also got a better life? | 0:46:33 | 0:46:35 | |
I'm now going to show you | 0:46:35 | 0:46:36 | |
something which makes me very excited as a statistician. | 0:46:36 | 0:46:40 | |
I'm going to show you income distribution, | 0:46:40 | 0:46:42 | |
the difference between people. | 0:46:42 | 0:46:44 | |
And to do that, I take the bubbles back 50 years | 0:46:44 | 0:46:48 | |
and then we are going to look only at money. | 0:46:48 | 0:46:51 | |
And to do that we have to expand and adjust the axis, | 0:46:51 | 0:46:55 | |
because the richest is so rich and the poorest is so poor, | 0:46:55 | 0:46:58 | |
so this will be a bigger difference than between the countries. | 0:46:58 | 0:47:01 | |
And what we do now is that we let the country fall down here, | 0:47:01 | 0:47:04 | |
this is United States, | 0:47:04 | 0:47:06 | |
and spread to show the range within the country. | 0:47:06 | 0:47:09 | |
And I take down all the countries in the Americas. | 0:47:09 | 0:47:12 | |
And now you can see from the richest person to the poorest person. | 0:47:12 | 0:47:16 | |
And the height here shows you how many there are on each income level. | 0:47:16 | 0:47:21 | |
And now let's take down Europe. | 0:47:21 | 0:47:23 | |
And on top of that I'm going to put Africa. | 0:47:24 | 0:47:27 | |
And finally, the region with most people, on top of everything, Asia. | 0:47:29 | 0:47:35 | |
Now, in 1963, the world was constituted by two humps. | 0:47:36 | 0:47:42 | |
First, the richest hump. It's like a camel, isn't it? | 0:47:42 | 0:47:46 | |
The first hump here with the richest is mainly Europe and the Americas. | 0:47:46 | 0:47:50 | |
And the poorest hump over here is mainly Asia and Africa. | 0:47:50 | 0:47:55 | |
And the poverty line was there. | 0:47:55 | 0:47:58 | |
Can you see how many people | 0:47:58 | 0:48:00 | |
there were in extreme poverty 50 years ago? | 0:48:00 | 0:48:04 | |
And most of them were in Asia. | 0:48:04 | 0:48:06 | |
And people were saying, "Asia will never get out of poverty." | 0:48:06 | 0:48:08 | |
Exactly as some people are still saying about Africa today. | 0:48:08 | 0:48:12 | |
Now, what has happened? I start the world. | 0:48:12 | 0:48:15 | |
And you can see that many people are born into poverty here, | 0:48:15 | 0:48:18 | |
but Asia goes towards higher income | 0:48:18 | 0:48:21 | |
and one billion goes out of extreme poverty this way. | 0:48:21 | 0:48:25 | |
And the whole shape of the world changes | 0:48:25 | 0:48:28 | |
and the camel is dead. | 0:48:28 | 0:48:30 | |
It's reborn as a dromedary! | 0:48:30 | 0:48:32 | |
LAUGHTER | 0:48:32 | 0:48:34 | |
And what you can see here, you know, is the variation from the richest, | 0:48:34 | 0:48:39 | |
that it's most people in the middle, | 0:48:39 | 0:48:42 | |
and there's a much smaller proportion of the world | 0:48:42 | 0:48:45 | |
now in extreme poverty. | 0:48:45 | 0:48:47 | |
But, be careful, it's still a lot of people, | 0:48:47 | 0:48:49 | |
more than one billion people in extreme poverty. | 0:48:49 | 0:48:52 | |
Now the question is, can this move out of extreme poverty | 0:48:52 | 0:48:57 | |
now continue for those in Africa | 0:48:57 | 0:49:00 | |
and even for the new billions in Africa? | 0:49:00 | 0:49:03 | |
I think it's possible, even probable, | 0:49:06 | 0:49:08 | |
that most countries in Africa will rise out of poverty too. | 0:49:08 | 0:49:12 | |
It will need wise action and huge investment, but it can happen. | 0:49:12 | 0:49:18 | |
The many countries of Africa are not all advancing at the same pace. | 0:49:20 | 0:49:25 | |
A few are moving very fast, others are stuck in conflict. | 0:49:25 | 0:49:30 | |
But most, like Mozambique, are now making steady progress. | 0:49:30 | 0:49:34 | |
And what about feeding all the new African people in the future? | 0:49:37 | 0:49:41 | |
Yes, there are shortages today, but there is also much potential here. | 0:49:41 | 0:49:46 | |
Agricultural yields in Africa | 0:49:48 | 0:49:50 | |
are just a fraction of what they could be with better technology. | 0:49:50 | 0:49:54 | |
And Africa's rivers are barely tapped for irrigation. | 0:49:58 | 0:50:03 | |
One day, Africa could hum with combine harvesters and tractors | 0:50:03 | 0:50:08 | |
and grow food for many more billions. | 0:50:08 | 0:50:11 | |
And, please, don't imagine it's just me who thinks Africa can make it. | 0:50:12 | 0:50:17 | |
The United Nations is about to set itself a new official goal - | 0:50:17 | 0:50:22 | |
eliminating extreme poverty within 20 years. | 0:50:22 | 0:50:26 | |
Everyone understands it's a huge challenge, | 0:50:26 | 0:50:29 | |
but I seriously believe it's possible. | 0:50:29 | 0:50:32 | |
Imagine if that would happen. | 0:50:34 | 0:50:36 | |
Now, what we have seen so far is that the rich end, it moves. | 0:50:36 | 0:50:40 | |
And the middle, it moves. | 0:50:40 | 0:50:44 | |
But this poorest end is stuck. | 0:50:44 | 0:50:47 | |
It's here in extreme poverty we find almost all the illiteracy. | 0:50:47 | 0:50:52 | |
Here we find high child mortality | 0:50:52 | 0:50:55 | |
and still many babies born per woman. | 0:50:55 | 0:50:57 | |
It's like extreme poverty reproduces itself if you don't end it swiftly. | 0:50:57 | 0:51:05 | |
But Andre and Olivia and people like them, | 0:51:05 | 0:51:07 | |
they work so hard to get away from it. | 0:51:07 | 0:51:11 | |
And if they only can get the right help from their government | 0:51:11 | 0:51:15 | |
and from the world at large with things like school, health, | 0:51:15 | 0:51:20 | |
vaccines, roads, electricity, contraceptives, | 0:51:20 | 0:51:25 | |
then they will manage, | 0:51:25 | 0:51:26 | |
but they will mainly manage by their own hard work. | 0:51:26 | 0:51:31 | |
Here we go, you know, go on, follow Andre and Olivia across the line! | 0:51:31 | 0:51:37 | |
It is possible within some decades? Yes! | 0:51:37 | 0:51:41 | |
But getting out of poverty is just the beginning. | 0:51:41 | 0:51:47 | |
People want to continue along this line to a good life. | 0:51:47 | 0:51:52 | |
But what does a good life mean? | 0:51:52 | 0:51:54 | |
For most people in the world, the good life they are striving for | 0:51:56 | 0:52:00 | |
will mean more machines and much more use of energy. | 0:52:00 | 0:52:04 | |
So there's a problem. | 0:52:04 | 0:52:05 | |
Because all this adds to one of the great threats for the future - | 0:52:05 | 0:52:10 | |
severe climate change. | 0:52:10 | 0:52:12 | |
80% of the energy the world uses is still fossil fuels. | 0:52:13 | 0:52:18 | |
And the science shows | 0:52:18 | 0:52:20 | |
that the climate may change dramatically in the future | 0:52:20 | 0:52:23 | |
because of the carbon dioxide emissions | 0:52:23 | 0:52:25 | |
from continuing to burn all these fossil fuels. | 0:52:25 | 0:52:29 | |
I'm not the best person to tell you how bad climate change will be, | 0:52:32 | 0:52:37 | |
nor am I a specialist on how to prevent it. | 0:52:37 | 0:52:40 | |
What I can do is to show you data to make you understand | 0:52:40 | 0:52:44 | |
who is the one that emits the carbon dioxide. | 0:52:44 | 0:52:48 | |
I will show this. | 0:52:48 | 0:52:50 | |
You remember the yardstick | 0:52:50 | 0:52:52 | |
from the poorest billion to the richest billion, | 0:52:52 | 0:52:55 | |
from the one who hardly can afford shoes | 0:52:55 | 0:52:57 | |
to the one who flies with airplanes. | 0:52:57 | 0:53:00 | |
Now, this shows the total amount of fossil fuel | 0:53:00 | 0:53:06 | |
used in the world during one year. | 0:53:06 | 0:53:08 | |
Coal, oil and natural gas. | 0:53:08 | 0:53:11 | |
And it represents more or less the total emission of carbon dioxide. | 0:53:11 | 0:53:15 | |
Now, how much of that is used by the richest billion? | 0:53:15 | 0:53:18 | |
HE GASPS | 0:53:18 | 0:53:20 | |
Half of it! | 0:53:20 | 0:53:22 | |
Now the second richest billion? | 0:53:22 | 0:53:23 | |
Half of what's left. | 0:53:25 | 0:53:28 | |
And you understand what the third use...half of what's left. | 0:53:28 | 0:53:31 | |
And the others use hardly anything. | 0:53:31 | 0:53:34 | |
This is rounded numbers, but it clearly shows, you know, | 0:53:34 | 0:53:37 | |
that almost all the fossil fuel | 0:53:37 | 0:53:40 | |
is used here by the one, two, three richest billions, | 0:53:40 | 0:53:44 | |
more than 85% they use. | 0:53:44 | 0:53:46 | |
Now, the richest billion here at least have stopped increasing, | 0:53:46 | 0:53:51 | |
but we are yet to see whether they will decrease. | 0:53:51 | 0:53:53 | |
And in the coming decades, it's the economic growth of these two | 0:53:53 | 0:53:58 | |
that will increase the fossil fuel used | 0:53:58 | 0:54:01 | |
and the carbon dioxide emissions. | 0:54:01 | 0:54:03 | |
Even if these ones over here come out of extreme poverty | 0:54:03 | 0:54:07 | |
and get richer all the way to the motorbike, | 0:54:07 | 0:54:09 | |
that doesn't contribute much to the emission of carbon dioxide. | 0:54:09 | 0:54:13 | |
And regarding population growth, most of the additional billions | 0:54:13 | 0:54:18 | |
in the next 40 years will be in this group here. | 0:54:18 | 0:54:21 | |
But still, if you ask people in the richest end | 0:54:21 | 0:54:24 | |
they seem to get everything wrong. | 0:54:24 | 0:54:26 | |
They look down on the world from their very high emissions | 0:54:26 | 0:54:29 | |
and then they say, "Oh, those over there!" | 0:54:29 | 0:54:32 | |
"You cannot live like us, you will destroy the planet!!" | 0:54:32 | 0:54:36 | |
You see, I find the argument from the people here catching up | 0:54:36 | 0:54:41 | |
to be much more correct and logic. | 0:54:41 | 0:54:44 | |
They say, "Huh! Who are you to tell us that we can't live like you?! | 0:54:44 | 0:54:49 | |
"You'd better change first if you want us to do it differently." | 0:54:49 | 0:54:54 | |
CHATTER | 0:54:54 | 0:54:56 | |
There are many essentials to having a good life | 0:54:56 | 0:54:59 | |
that billions in the world do not yet have. | 0:54:59 | 0:55:02 | |
Andre's village and house | 0:55:02 | 0:55:04 | |
and so many like them don't even have electricity. | 0:55:04 | 0:55:08 | |
Mozambique has huge coal reserves, | 0:55:09 | 0:55:12 | |
and if it and the other poorest countries | 0:55:12 | 0:55:15 | |
build affordable new power stations | 0:55:15 | 0:55:17 | |
burning coal for electricity and industry, | 0:55:17 | 0:55:20 | |
I don't think anyone who emits more carbon should interfere. | 0:55:20 | 0:55:24 | |
Now, what I'm going to do is ask you two questions | 0:55:25 | 0:55:29 | |
that I often ask my Swedish students. | 0:55:29 | 0:55:32 | |
The first one is this. | 0:55:32 | 0:55:34 | |
How many of you have not travelled by an airplane this year? | 0:55:34 | 0:55:38 | |
Ah-ha. Quite a few can do without flying. | 0:55:40 | 0:55:44 | |
So the next question is, how many of you | 0:55:44 | 0:55:46 | |
have stayed away from washing machines | 0:55:46 | 0:55:49 | |
and you have hand-washed all bed sheets, | 0:55:49 | 0:55:52 | |
clothes and laundry during the last year? | 0:55:52 | 0:55:55 | |
-LAUGHTER -I thought so, no-one. | 0:55:55 | 0:55:58 | |
Everyone who can afford to use a washing machine, | 0:55:58 | 0:56:01 | |
even the hard core in the environmental movement. | 0:56:01 | 0:56:05 | |
And I still remember the day when my family got the washing machine, | 0:56:05 | 0:56:09 | |
it was the 1st of November, 1952. | 0:56:09 | 0:56:13 | |
Grandma was invited to be the first to load the machine. | 0:56:13 | 0:56:17 | |
She had hand-washed her entire life for a family of nine. | 0:56:17 | 0:56:21 | |
And when she loaded the machine, she sat down on a footstool | 0:56:21 | 0:56:25 | |
and she watched the entire programme | 0:56:25 | 0:56:28 | |
-during one hour. -LAUGHTER | 0:56:28 | 0:56:30 | |
She was absolutely mesmerised. | 0:56:30 | 0:56:32 | |
For my mother it also meant a lot of more free time to do other things. | 0:56:32 | 0:56:38 | |
She could read books for me, I think that's what made me a professor. | 0:56:38 | 0:56:42 | |
No wonder we said, "Thank you, steel mill! | 0:56:42 | 0:56:46 | |
"Thank you, washing-powder factory! | 0:56:46 | 0:56:49 | |
Thank you, electrical power station!" | 0:56:49 | 0:56:51 | |
LAUGHTER | 0:56:51 | 0:56:53 | |
Now...when thinking about where all this leaves us, | 0:56:53 | 0:56:59 | |
I have just one little humble advice for you - | 0:56:59 | 0:57:03 | |
beside everything else, look at the data. | 0:57:03 | 0:57:06 | |
Look at the facts about the world. | 0:57:06 | 0:57:09 | |
And you will see where we are today and how we can move forward | 0:57:09 | 0:57:13 | |
with all these billions on our wonderful planet. | 0:57:13 | 0:57:16 | |
The challenges of extreme poverty have been greatly reduced | 0:57:18 | 0:57:22 | |
and it's for the first time in history | 0:57:22 | 0:57:25 | |
within our power to end it for good. | 0:57:25 | 0:57:27 | |
The challenge of population growth is, in fact, already being solved - | 0:57:28 | 0:57:33 | |
the number of children has stopped growing. | 0:57:33 | 0:57:36 | |
And for the challenge of climate change, | 0:57:37 | 0:57:40 | |
we can still avoid the worst. | 0:57:40 | 0:57:43 | |
But that requires that the richest, | 0:57:43 | 0:57:47 | |
as soon as possible, | 0:57:47 | 0:57:50 | |
find a way to set their use of resources and energy | 0:57:50 | 0:57:55 | |
at a level that, step by step, | 0:57:55 | 0:57:57 | |
can be shared by 10 billion or 11 billion | 0:57:57 | 0:58:00 | |
by the end of this century. | 0:58:00 | 0:58:03 | |
I've never called myself an optimist, | 0:58:04 | 0:58:07 | |
but I do say I'm a possibilist. | 0:58:07 | 0:58:09 | |
And I also say...the world is much better than many of you think. | 0:58:09 | 0:58:14 | |
-Thank you very much. -APPLAUSE | 0:58:14 | 0:58:17 | |
To test your own assumptions about the world | 0:58:23 | 0:58:26 | |
and to explore the issues behind the numbers, go to... | 0:58:26 | 0:58:29 | |
..where you will find links to the Open University's | 0:58:33 | 0:58:36 | |
free learning website - Open Learn. | 0:58:36 | 0:58:38 | |
You'll also find links to Gapminder | 0:58:38 | 0:58:41 | |
where you can explore all the data and its sources. | 0:58:41 | 0:58:44 | |
Subtitles by Red Bee Media Ltd | 0:58:44 | 0:58:47 |