Hans Rosling: Debunking third-world myths with the best stats you've ever seen

2,157,871 views

2007-01-14 ・ TED


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Hans Rosling: Debunking third-world myths with the best stats you've ever seen

2,157,871 views ・ 2007-01-14

TED


Dvaput kliknite na engleske titlove ispod za reprodukciju videozapisa.

Prevoditelj: Davorin Jelačić Recezent: Tilen Pigac - EFZG
00:25
About 10 years ago, I took on the task to teach global development
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Prije 10 godina, počeo sam švedske dodiplomce
podučavati globalnom razvoju. To je bilo nakon što sam
00:30
to Swedish undergraduate students.
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00:32
That was after having spent about 20 years,
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oko 20 godina proveo proučavajući glad u Africi s afričkim institucijama,
00:35
together with African institutions,
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00:36
studying hunger in Africa.
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pa se od mene nekako očekivalo da znam ponešto o svijetu.
00:38
So I was sort of expected to know a little about the world.
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Na našem medicinskom sveučilištu, Karolinska Institute, pokrenuo sam
00:42
And I started, in our medical university, Karolinska Institute,
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00:46
an undergraduate course called Global Health.
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dodiplomski kolegij nazvan Globalno zdravlje. Ali kad dobijete
00:49
But when you get that opportunity, you get a little nervous.
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takvu priliku, postanete malo nervozni. Mislio sam, studenti
00:52
I thought, these students coming to us actually have the highest grade
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koji k nama dođu imaju najviše ocjene koje možete dobiti
00:55
you can get in the Swedish college system,
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u švedskom školskom sustavu - pa možda znaju sve
00:57
so I thought, maybe they know everything I'm going to teach them about.
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o onome o čemu ću ih podučavati. Pa sam im dao preliminarni test.
01:01
So I did a pretest when they came.
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01:03
And one of the questions from which I learned a lot was this one:
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Jedno od pitanja na kojemu sam mnogo naučio bilo je ovo:
01:06
"Which country has the highest child mortality of these five pairs?"
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"Koja zemlja ima najvišu stopu dječje smrtnosti od ovih pet parova?"
I tako sam ih spojio, da u svakom paru država
01:11
And I put them together so that in each pair of countries,
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01:14
one has twice the child mortality of the other.
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jedan član ima dvostruko veću dječju smrtnost od drugog. To je značilo
01:18
And this means that it's much bigger, the difference,
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da je razlika mnogo veća od netočnosti u podacima.
01:22
than the uncertainty of the data.
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01:24
I won't put you at a test here, but it's Turkey,
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Vas ovdje neću izložiti testu, ali riječ je o Turskoj
01:26
which is highest there, Poland, Russia, Pakistan and South Africa.
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koja je najveća ovdje, pa Poljska, Rusija, Pakistan i Južnoafrička republika.
01:31
And these were the results of the Swedish students.
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A ovo su bili rezultati švedskih studenata. Uradio sam sve tako da sam dobio
01:33
I did it so I got the confidence interval, which is pretty narrow.
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interval sigurnosti koji je prilično uzak, i bio sam sretan,
01:36
And I got happy, of course -- a 1.8 right answer out of five possible.
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naravno: 1,8 točnih odgovora od pet mogućih. To znači
01:40
That means there was a place for a professor of international health
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da ima mjesta za profesora međunarodnog zdravlja -
01:44
and for my course.
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(Smijeh) i za moj kolegij.
01:45
(Laughter)
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01:46
But one late night, when I was compiling the report,
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No kasno jedne noći, dok sam sastavljao izvješće,
01:50
I really realized my discovery.
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doista sam shvatio svoje nalaze. Pokazao sam
01:53
I have shown that Swedish top students know, statistically,
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da najbolji švedski studenti o svijetu
01:57
significantly less about the world than the chimpanzees.
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znaju statistički značajno manje nego čimpanze.
02:01
(Laughter)
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(Smijeh)
02:03
Because the chimpanzee would score half right
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Jer bi čimpanze pogodile pola odgovora da sam im dao
02:06
if I gave them two bananas with Sri Lanka and Turkey.
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dvije banane sa Šri Lankom i Turskom. Bile bi u pravu u pola slučajeva.
02:09
They would be right half of the cases. But the students are not there.
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Ali studenti nisu. Za mene problem nije bilo neznanje.
02:12
The problem for me was not ignorance; it was preconceived ideas.
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Bile su to ranije usvojene ideje.
02:16
I did also an unethical study
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Također sam neetički provjerio i profesore na Karolinska Institute
02:19
of the professors of the Karolinska Institute,
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(Smijeh)
02:22
which hands out the Nobel Prize in Medicine,
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-- koji dodjeljuje Nobelovu nagradu za medicinu,
02:24
and they are on par with the chimpanzee there.
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i oni su bili u rangu sa čimpanzama.
(Smijeh)
02:27
(Laughter)
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02:29
This is where I realized that there was really a need to communicate,
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Tada sam shvatio da zaista postoji potreba za komunikacijom,
02:33
because the data of what's happening in the world
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jer su podaci o tome što se događa u svijetu
02:36
and the child health of every country
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i o zdravlju djece u svakoj zemlji dobro poznati.
02:38
is very well aware.
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02:39
So we did this software, which displays it like this.
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Napravili smo program koji podatke prikazuje ovako: svaki balon je jedna zemlja.
02:42
Every bubble here is a country.
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02:44
This country over here is China.
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Ova država ovdje je Kina. Ovo je Indija.
02:49
This is India.
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02:50
The size of the bubble is the population,
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Veličina balona je stanovništvo, a na ovoj osi sam stavio stopu rađanja.
02:53
and on this axis here, I put fertility rate.
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02:56
Because my students, what they said
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Zbog toga što su moji studenti rekli
02:59
when they looked upon the world, and I asked them,
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kad su pogledali svijet, a ja sam ih pitao,
03:01
"What do you really think about the world?"
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"Što zaista mislite o svijetu?"
Prvo sam otkrio da je udžbenik uglavnom Tintin.
03:04
Well, I first discovered that the textbook was Tintin, mainly.
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03:07
(Laughter)
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(Smijeh)
03:08
And they said, "The world is still 'we' and 'them.'
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Rekli su, "Svijet je još uvijek 'mi' i 'oni.'
03:11
And 'we' is the Western world and 'them' is the Third World."
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Mi smo Zapadni svijet, a oni su Treći svijet."
"A što smatrate pod Zapadnim svijetom?", upitao sam.
03:15
"And what do you mean with 'Western world?'" I said.
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03:17
"Well, that's long life and small family.
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"Pa, dug život i male obitelji, a Treći svijet su kratak život i velike obitelji."
03:19
And 'Third World' is short life and large family."
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To su podaci koje sam mogao ovdje prikazati. Stopa rađanja je ovdje: broj djece po ženi,
03:23
So this is what I could display here.
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03:25
I put fertility rate here --
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03:27
number of children per woman: one, two, three, four,
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jedno, dvoje, troje, četvero, sve do osmero djece po ženi.
03:30
up to about eight children per woman.
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03:32
We have very good data since 1962, 1960, about,
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Imamo vrlo dobre podatke od 1962. - 1960. - o veličini obitelji u svim zemljama.
03:36
on the size of families in all countries.
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03:38
The error margin is narrow.
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Margina pogreške je mala. Ovdje sam stavio očekivanu duljinu života pri rođenju,
03:39
Here, I put life expectancy at birth,
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from 30 years in some countries, up to about 70 years.
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od 30 godina u nekim zemljama, do nekih 70 godina.
03:45
And in 1962, there was really a group of countries here
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1962. godine, ovdje se nalazila skupina zemalja.
03:48
that were industrialized countries,
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Bile su to industrijalizirane zemlje, s malim obiteljima i dugim životnim vijekom.
03:50
and they had small families and long lives.
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03:53
And these were the developing countries.
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A ove su bile zemlje u razvoju:
03:55
They had large families and they had relatively short lives.
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imale su velike obitelji i relativno kratki životni vijek.
03:58
Now, what has happened since 1962? We want to see the change.
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Dakle, što se dogodilo od 1962? Želimo vidjeti promjenu.
04:02
Are the students right? It's still two types of countries?
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Jesu li studenti u pravu? Postoje li još uvijek dvije vrste zemalja?
04:05
Or have these developing countries got smaller families and they live here?
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Ili su zemlje u razvoju smanjile veličinu obitelji i sad žive ovdje?
04:09
Or have they got longer lives and live up there?
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Ili imaju dulji životni vijek i žive ovdje?
04:11
Let's see. We start the world, eh?
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Pogledajmo. Zaustavili smo svijet. Ovo je UN statistika
04:13
This is all UN statistics that have been available.
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koja nam je dostupna. Idemo. Vidite li ovdje?
04:16
Here we go. Can you see there?
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04:17
It's China there, moving against better health there, improving there.
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Ovo je Kina, kreće se prema boljem zdravlju ovdje, napreduje.
04:20
All the green Latin American countries are moving towards smaller families.
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Sve zelene latinoameričke države se kreću prema manjim obiteljima.
Ove žute ovdje su arapske države,
04:24
Your yellow ones here are the Arabic countries,
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i one dobivaju veće obitelji, ali one -- ne, dulji život, ali ne veće obitelji.
04:27
and they get longer life, but not larger families.
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04:30
The Africans are the green here. They still remain here.
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Afrikanci su zeleni ovdje dolje. Oni su još uvijek ovdje.
04:33
This is India; Indonesia is moving on pretty fast.
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Ovo je Indija. Indonezija se kreće prilično brzo.
04:36
In the '80s here, you have Bangladesh still among the African countries.
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(Smijeh)
A 80-tih godina, Bangladeš je još uvijek među afričkim zemljama ovdje.
04:40
But now, Bangladesh -- it's a miracle that happens in the '80s --
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Ali sada, Bangladeš -- ovo je čudo koje se događa u 80-tima:
04:43
the imams start to promote family planning,
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imami počinju poticati obiteljsko planiranje.
04:46
and they move up into that corner.
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Pomiču se u ovaj kut gore. A u 90-tima, imamo strašnu epidemiju HIV-a
04:47
And in the '90s, we have the terrible HIV epidemic
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04:51
that takes down the life expectancy of the African countries.
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koja smanjuje očekivano trajanje života u afričkim zemljama,
04:54
And the rest of them all move up into the corner,
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a sve druge se pomiču u ovaj kut gore
04:58
where we have long lives and small family,
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gdje imamo dug život i malu obitelj, i imamo potpuno novi svijet.
05:00
and we have a completely new world.
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05:02
(Applause)
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(Pljesak)
05:13
(Applause ends)
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05:15
Let me make a comparison directly
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Dopustite da izravno usporedim Sjedinjene Države i Vijetnam.
05:17
between the United States of America and Vietnam.
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05:20
1964:
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1964: Amerika je imala male obitelji i dug život;
05:22
America had small families and long life;
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05:25
Vietnam had large families and short lives.
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Vijetnam velike obitelji i kratak život. I evo što se događa:
05:28
And this is what happens.
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05:29
The data during the war indicate that even with all the death,
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podaci tijekom rata pokazuju da je, usprkos poginulima,
05:35
there was an improvement of life expectancy.
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došlo do produljenja očekivanog životnog vijeka. Do kraja godine,
05:37
By the end of the year, family planning started in Vietnam,
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u Vijetnamu je počelo planiranje obitelji i kretanje prema manjim obiteljima.
05:40
and they went for smaller families.
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05:41
And the United States up there is getting longer life,
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A Sjedinjene Države ovdje gore idu prema duljem životu,
05:44
keeping family size.
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zadržavajući veličinu obitelji. A sada u 80-tima,
05:45
And in the '80s now, they give up Communist planning
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Vijetnam odustaje od komunističkog planiranja i usvaja tržišnu ekonomiju
05:49
and they go for market economy,
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05:50
and it moves faster even than social life.
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i kreće se brže čak i od društvenog života. A danas,
05:52
And today, we have in Vietnam
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u Vijetnamu imamo isto trajanje života i istu veličinu obitelji
05:55
the same life expectancy and the same family size
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evo, Vijetnam u 2003., kakva je bila u SAD 1974. godine, na kraju rata.
06:00
here in Vietnam, 2003,
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06:02
as in United States, 1974, by the end of the war.
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Mislim da svi mi - ako ne gledamo podatke --
06:07
I think we all, if we don't look at the data,
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06:10
we underestimate the tremendous change in Asia,
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podcijenjujemo strahovitu promjenu u Aziji u kojoj
06:14
which was in social change before we saw the economic change.
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se dogodila društvena promjena prije nego što smo vidjeli ekonomsku promjenu.
06:18
So let's move over to another way here
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Prijeđimo na drugi način na koji možemo prikazati
06:21
in which we could display the distribution in the world
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distribuciju svjetskog dohotka. Ovo je svjetska distribucija dohotka.
06:25
of income.
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06:26
This is the world distribution of income of people.
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Jedan dolar, 10 dolara ili 100 dolara dnevno.
06:31
One dollar, 10 dollars or 100 dollars per day.
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Nema više jaza između bogatih i siromašnih. To je mit.
06:36
There's no gap between rich and poor any longer. This is a myth.
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06:39
There's a little hump here.
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Ovdje postoji brežuljak. Ali ljudi postoje posvuda.
06:42
But there are people all the way.
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06:43
And if we look where the income ends up,
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A ako pogledamo gdje dohodak završava - dohodak --
06:48
this is 100 percent of the world's annual income.
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ovo je 100 posto svjetskog godišnjeg dohotka. A najbogatijih 20 posto,
06:52
And the richest 20 percent,
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06:54
they take out of that about 74 percent.
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na njih otpada oko 74 posto. Na najsiromašnijih 20 posto
06:59
And the poorest 20 percent, they take about two percent.
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otpada oko 2 posto. I ovo pokazuje da je koncept
07:04
And this shows that the concept of developing countries
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07:06
is extremely doubtful.
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zemalja u razvoju izrazito dvojben. Mi razmišljamo o pomoći,
07:08
We think about aid,
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07:10
like these people here giving aid to these people here.
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da ovi ovdje šalju pomoć ovim ljudima ovdje. Ali u sredini
07:13
But in the middle, we have most of the world population,
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imamo najveći broj stanovnika, i na njih se odnosi 24 posto dohotka.
07:17
and they have now 24 percent of the income.
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07:19
We heard it in other forms.
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Čuli smo to i drugdje. A tko su oni?
07:21
And who are these?
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Gdje su te različite zemlje? Pokazat ću vam u Africi.
07:24
Where are the different countries?
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07:26
I can show you Africa.
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07:27
This is Africa.
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Ovo je Afrika. 10 posto svjetskog stanovništva, uglavnom u siromaštvu.
07:30
Ten percent of the world population,
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07:31
most in poverty.
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Ovo je OECD. Bogate zemlje. Gospodski klub UN-a.
07:33
This is OECD -- the rich countries, the country club of the UN.
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07:37
And they are over here on this side. Quite an overlap between Africa and OECD.
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One su na ovoj strani. Poprilično preklapanje između Afrike i OECD-a.
07:42
And this is Latin America.
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A ovo je Južna Amerika. Uključuje svakoga na ovoj Zemlji,
07:44
It has everything on this earth, from the poorest to the richest
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od najsiromašnijih do najbogatijih, ta južna Amerika.
07:47
in Latin America.
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I na sve to možemo staviti istočnu Europu, istočnu Aziju,
07:49
And on top of that, we can put East Europe,
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07:52
we can put East Asia, and we put South Asia.
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i južnu Aziju. A kako je sve izgledalo ako se vratimo kroz vrijeme,
07:55
And what did it look like if we go back in time,
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07:58
to about 1970?
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negdje u 1970. godinu? Postojao je veći brijeg.
08:00
Then, there was more of a hump.
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I najveći broj onih koji su živjeli u apsolutnoj bijedi su bili Azijci.
08:04
And most who lived in absolute poverty were Asians.
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Svjetski problem je bilo siromaštvo u Aziji. A ako sad pokrenemo svijet unaprijed,
08:08
The problem in the world was the poverty in Asia.
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08:10
And if I now let the world move forward,
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08:14
you will see that while population increases,
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vidimo da dok stanovništvo raste, stotine milijuna
08:16
there are hundreds of millions in Asia getting out of poverty,
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ljudi u Aziji izlazi iz siromaštva, a neki drugi
08:20
and some others getting into poverty,
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postaju siromašni, i to je obrazac koji imamo danas.
08:22
and this is the pattern we have today.
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Najbolja projekcija Svjetske banke je da će se ovo dogoditi
08:24
And the best projection from the World Bank
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08:26
is that this will happen,
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i da nećemo imati podijeljen svijet. Večina ljudi će biti u sredini.
08:28
and we will not have a divided world.
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08:29
We'll have most people in the middle.
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08:31
Of course it's a logarithmic scale here,
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Naravno, ovo ovdje je logoritamska skala,
08:33
but our concept of economy is growth with percent.
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ali naš koncept gospodarstva je postotni rast. Gledamo
08:37
We look upon it as a possibility of percentile increase.
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na gospodarstvo kao mogućnost postotnog povećanja. Ako to promijenim
08:42
If I change this and take GDP per capita instead of family income,
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i uzmem BDP po stanovniku umjesto obiteljskog dohotka, i te pojedinačne
08:47
and I turn these individual data
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podatke pretvorim u regionalne podatke o BDP-u,
08:51
into regional data of gross domestic product,
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08:54
and I take the regions down here,
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i prikažem regije ovdje dolje, veličina balona je i dalje stanovništvo.
08:56
the size of the bubble is still the population.
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08:58
And you have the OECD there, and you have sub-Saharan Africa there,
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I imate OECD ovdje, imate sub-saharsku Afriku ovdje,
09:01
and we take off the Arab states there,
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i uzmemo arapske države ovdje,
09:04
coming both from Africa and from Asia,
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i one afričke i one azijske, i prikažemo ih zasebno,
09:06
and we put them separately,
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09:08
and we can expand this axis, and I can give it a new dimension here,
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i možemo proširiti os, i mogu dodati novu dimenziju ovdje,
09:13
by adding the social values there, child survival.
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dodajući društvene vrijednosti, preživljavanje djece.
09:16
Now I have money on that axis,
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Sada imam novac na ovoj osi, i vjerojatnost preživljavanja djece na ovoj.
09:18
and I have the possibility of children to survive there.
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09:21
In some countries, 99.7% of children survive to five years of age;
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U nekim zemljama, 99,7 posto djece preživi do pete godine života;
09:25
others, only 70.
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u drugim, samo 70 posto. I ovdje izgleda da postoji jaz
09:27
And here, it seems, there is a gap between OECD,
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između OECD-a, južne Amerike, istočne Europe, istočne Azije,
09:30
Latin America, East Europe, East Asia,
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09:33
Arab states, South Asia and sub-Saharan Africa.
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arapskih država, južne Azije i sub-saharske Afrike.
09:37
The linearity is very strong between child survival and money.
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Linearnost je vrlo jaka između preživljavanja djece i novca.
09:42
But let me split sub-Saharan Africa.
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Ali, hajde da podijelim sub-saharsku Afriku. Zdravlje je ovdje, a bolje zdravlje je ovdje.
09:45
Health is there and better health is up there.
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09:50
I can go here, and I can split sub-Saharan Africa into its countries.
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Mogu ovdje podijeliti sub-saharsku Afriku na pojedine zemlje.
09:55
And when it bursts,
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Nakon raspršenja, veličina balona je veličina stanovništva jedne države.
09:56
the size of each country bubble is the size of the population.
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10:00
Sierra Leone down there, Mauritius is up there.
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Sierra Leone ovdje dolje. Mauricijus ovdje gore. Mauricijus je prva zemlja
10:02
Mauritius was the first country to get away with trade barriers,
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koja se odrekla trgovinskih barijera, i mogli su prodavati svoj šećer.
10:06
and they could sell their sugar, they could sell their textiles,
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Mogli su prodavati svoj tekstil pod istim uvjetima kao i Europa i Sjeverna Amerika.
10:10
on equal terms as the people in Europe and North America.
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10:13
There's a huge difference [within] Africa.
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Razlike u Africi su ogromne. Ghana je ovdje u sredini.
10:15
And Ghana is here in the middle.
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10:17
In Sierra Leone, humanitarian aid.
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U Sierra Leone, humanitarna pomoć.
10:20
Here in Uganda, development aid.
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U Ugandi, razvojna pomoć. Ovdje, vrijeme za ulaganja, ovdje
10:23
Here, time to invest; there, you can go for a holiday.
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možete ići na ljetovanje. Varijacije unutar Afrike su
10:27
There's tremendous variation within Africa,
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ogromne, a rijetko ih shvaćamo - kao da je sve jednako.
10:29
which we very often make that it's equal everything.
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10:33
I can split South Asia here. India's the big bubble in the middle.
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Mogu podijeliti južnu Aziju ovdje. Indija je veliki balon u sredini.
10:37
But there's a huge difference between Afghanistan and Sri Lanka.
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Ali ogromna je razlika između Afganistana i Šri Lanke.
10:41
I can split Arab states. How are they?
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Mogu podijeliti arapske zemlje. Kakve su one? Ista klima, ista kultura,
10:43
Same climate, same culture, same religion -- huge difference.
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ista religija. Ogromne razlike. Čak i među susjedima.
10:48
Even between neighbors --
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10:49
Yemen, civil war;
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U Jemenu, građanski rat. Ujedinjeni Arapski Emirati, novac koji je ujednačeno i dobro upotrijebljen.
10:50
United Arab Emirates, money, which was quite equally and well-used.
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10:54
Not as the myth is.
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Ne odgovara mitovima. To uključuje svu djecu stranih radnika koji su u zemlji.
10:56
And that includes all the children of the foreign workers
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11:00
who are in the country.
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Podaci su često bolji nego što mislite. Mnogi tvrde da su podaci loši.
11:02
Data is often better than you think. Many people say data is bad.
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11:06
There is an uncertainty margin, but we can see the difference here:
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Postoji margina nesigurnosti, ali ovdje možemo vidjeti razlike:
Kambodža, Singapur. Razlike su mnogo veće
11:09
Cambodia, Singapore.
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11:10
The differences are much bigger than the weakness of the data.
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od slabosti podataka. Istočna Europa:
11:13
East Europe: Soviet economy for a long time,
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sovjetska ekonomija dugo vremena, ali izlaze nakon deset godina
11:18
but they come out after 10 years very, very differently.
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jako, jako različito. A ovdje je Južna Amerika.
11:21
And there is Latin America.
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Danas, ne moramo ići na Kubu da pronađemo zdravu zemlju u Južnoj Americi.
11:24
Today, we don't have to go to Cuba
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11:25
to find a healthy country in Latin America.
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11:27
Chile will have a lower child mortality than Cuba within some few years from now.
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Čile će imati nižu stopu dječje smrtnosti od Kube u idućih nekoliko godina.
11:32
Here, we have high-income countries in the OECD.
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A ovdje su zemlje OECD-a s visokim dohotkom.
11:35
And we get the whole pattern here of the world,
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Ovdje vidimo čitav svjetski uzorak,
11:39
which is more or less like this.
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koji je, više ili manje, ovakav. I ako pogledamo
11:41
And if we look at it, how the world looks,
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kako svijet izgleda 1960., počinje se kretati. 1960.
11:46
in 1960, it starts to move.
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11:50
This is Mao Zedong. He brought health to China.
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Ovo je Mao Ce Tung. Donio je zdravlje u Kinu. I tada je umro.
11:52
And then he died.
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11:53
And then Deng Xiaoping came and brought money to China,
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Tada Deng Xiaoping dolazi i donosi novac u Kinu, i vodi ih opet u glavnu struju.
11:56
and brought them into the mainstream again.
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11:58
And we have seen how countries move in different directions like this,
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I vidjeli smo kako se zemlje gibaju u različitim smjerovima
12:02
so it's sort of difficult to get an example country
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pa je nekako teško naći zemlju
koja bi bila primjer za svjetski uzorak.
12:08
which shows the pattern of the world.
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12:10
But I would like to bring you back to about here, at 1960.
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Želim vas vratiti ovdje, u 1960. godinu.
Želio bih usporediti Južnu Koreju ovdje, s Brazilom
12:18
I would like to compare South Korea, which is this one,
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12:25
with Brazil, which is this one.
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koji je ovdje. Natpis mi je pobjegao. I želio bih usporediti Ugandu,
12:29
The label went away for me here.
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12:30
And I would like to compare Uganda, which is there.
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koja je ovdje. I mogu sve pokrenuti unaprijed, ovako.
12:34
I can run it forward, like this.
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I vidite kako Južna Koreja vrlo, vrlo brzo napreduje,
12:39
And you can see how South Korea is making a very, very fast advancement,
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12:46
whereas Brazil is much slower.
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dok je Brazil puno sporiji.
12:49
And if we move back again, here, and we put trails on them, like this,
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A ako se opet vratimo natrag, i uključimo im repove, ovako,
12:55
you can see again
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vidite opet da je brzina razvoja
12:57
that the speed of development is very, very different,
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jako, jako različita, i zemlje se kreću više ili manje
13:01
and the countries are moving more or less at the same rate
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istom stopom kao i novac i zdravlje, ali čini se da možete
13:07
as money and health,
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13:08
but it seems you can move much faster
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napredovati puno brže ako ste prvo zdravi, nego ako ste prvo bogati.
13:10
if you are healthy first than if you are wealthy first.
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13:14
And to show that, you can put on the way of United Arab Emirates.
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Da bismo to pokazali, možemo pogledati put Ujedinjenih Arapskih Emirata.
13:18
They came from here, a mineral country.
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Došli su odavde, zemlja s mineralima. Crpli su svu naftu,
13:20
They cached all the oil; they got all the money;
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dobili sav novac, ali zdravlje ne možete kupiti u supermarketu.
13:23
but health cannot be bought at the supermarket.
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Morate ulagati u zdravstvo. Morate školovati djecu.
13:26
You have to invest in health. You have to get kids into schooling.
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13:29
You have to train health staff. You have to educate the population.
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Morate obučiti zdravstvene djelatnike. Morate obrazovati stanovništvo.
13:32
And Sheikh Zayed did that in a fairly good way.
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I šeik Sayed je to prilično dobro učinio.
13:35
In spite of falling oil prices, he brought this country up here.
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Usprkos padu cijene nafte, doveo je svoju zemlju ovdje.
13:39
So we've got a much more mainstream appearance of the world,
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Pa tako imamo puno ujednačeniji izgled svijeta,
13:43
where all countries tend to use their money
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gdje sve zemlje koriste svoj novac bolje
13:45
better than they used it in the past.
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nego što su ga koristile ranije. Ovo je, više ili manje,
13:49
Now, this is, more or less, if you look at the average data of the countries --
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ako pogledate prosječne podatke po zemljama. Izgledaju ovako.
13:56
they are like this.
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13:57
That's dangerous, to use average data,
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To je opasno, koristiti prosječne podatke, jer postoje
14:00
because there is such a lot of difference within countries.
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velike razlike i unutar zemalja. Pa ako pogledam ovdje, vidim
14:04
So if I go and look here,
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14:07
we can see that Uganda today is where South Korea was in 1960.
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da je Uganda danas ondje gdje je Južna Koreja bila 1960. Ako podijelim Ugandu
14:13
If I split Uganda, there's quite a difference within Uganda.
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vidmo veliku razliku unutar Ugande. Ovo su petine u Ugandi.
14:17
These are the quintiles of Uganda.
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14:19
The richest 20 percent of Ugandans are there.
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Najbogatijih 20 posto u Ugandi su ovdje.
14:21
The poorest are down there.
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Najsiromašniji su ovdje. Ako podijelim južnu Afriku, izgleda ovako.
14:23
If I split South Africa, it's like this.
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14:26
And if I go down and look at Niger,
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Ako se spustim i pogledam Nigeriju gdje je vladala strašna glad,
14:29
where there was such a terrible famine [recently],
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izgleda ovako. 20 posto najsiromašnijih u Nigeriji je ovdje,
14:32
it's like this.
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14:33
The 20 percent poorest of Niger is out here,
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14:36
and the 20 percent richest of South Africa is there,
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a 20 posto najbogatijih u južnoj Africi ovdje,
14:39
and yet we tend to discuss what solutions there should be in Africa.
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a opet diskutiramo o mogućim rješenjima za Afriku.
14:44
Everything in this world exists in Africa.
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U Africi imate sve što postoji na svijetu. I ne možete
14:46
And you can't discuss universal access to HIV [treatment]
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razmatrati univerzalni pristup lijekovima za HIV za ovu petinu gore
14:49
for that quintile up here
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14:51
with the same strategy as down here.
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primijenjujući istu strategiju kao za ove dolje. Poboljšanje svijeta
14:54
The improvement of the world must be highly contextualized,
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se mora staviti u kontekst, i nije relevantno promatrati ga
14:58
and it's not relevant to have it on a regional level.
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na regionalnoj razini. Moramo biti mnogo precizniji.
15:01
We must be much more detailed.
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Otkrivamo da su studenti uzbuđeni kad mogu koristiti ovo.
15:04
We find that students get very excited when they can use this.
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15:07
And even more, policy makers and the corporate sectors
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A još više kreatora politika i korporativnih sektora želi
15:11
would like to see how the world is changing.
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vidjeti kako se svijet mijenja. Pa, zašto se onda to ne događa?
15:14
Now, why doesn't this take place?
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15:16
Why are we not using the data we have?
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Zašto ne koristimo podatke koje imamo? Imamo podatke u Ujedinjenim Narodima,
15:18
We have data in the United Nations, in the national statistical agencies
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u nacionalnim statističkim uredima,
15:22
and in universities and other nongovernmental organizations.
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na sveučilištima i drugim nevladinim organizacijama.
15:26
Because the data is hidden down in the databases.
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Zato što su podaci skriveni u bazama podataka.
15:28
And the public is there, and the internet is there,
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Javnost je ovdje, Internet je ovdje, ali još uvijek ne koristimo podatke učinkovito.
15:31
but we have still not used it effectively.
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15:33
All that information we saw changing in the world
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Sve te informacije koje smo vidjeli da se mijenjaju u svijetu,
15:36
does not include publicly funded statistics.
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ne uključuju statistiku koja se financira javno. Postoje neke mrežne stranice
15:39
There are some web pages like this, you know,
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poput ove, ali one se osvježavaju iz baza podataka,
15:41
but they take some nourishment down from the databases,
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15:46
but people put prices on them, stupid passwords and boring statistics.
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ali ljudi ih naplaćuju, glupe zaporke i dosadna statistika.
15:51
(Laughter)
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(Smijeh) (Pljesak)
15:52
And this won't work.
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15:53
(Applause)
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I to ne funkcionira. Pa što je onda potrebno? Imamo baze podataka.
15:56
So what is needed? We have the databases.
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15:58
It's not a new database that you need.
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Nije nova baza ono što nam treba. Imamo divne oblikovne alate,
16:00
We have wonderful design tools and more and more are added up here.
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i sve više i više ih se dodaje. Pa smo započeli
16:04
So we started a nonprofit venture linking data to design,
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neprofitni pothvat kojeg smo nazvali - povezujući podatke i dizajn -
16:10
we called "Gapminder,"
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zovemo ga Gapminder, po londonskoj podzemnoj željeznici gdje vas upozoravaju,
16:11
from the London Underground, where they warn you, "Mind the gap."
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"mind the gap" (pazite na jaz). Mislili smo da je Gapminder prikladno ime.
16:15
So we thought Gapminder was appropriate.
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I počeli smo pisati programe koji na ovakav način povezuju podatke.
16:17
And we started to write software which could link the data like this.
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I nije bilo tako teško. Trebalo je nešto ljudskih godina, i napravili smo animacije.
16:21
And it wasn't that difficult.
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16:22
It took some person years, and we have produced animations.
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16:26
You can take a data set and put it there.
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Možete uzeti niz podataka i staviti ga ovdje.
16:28
We are liberating UN data, some few UN organization.
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Oslobađamo UN-ove podatke, nekih UN organizacija.
16:33
Some countries accept that their databases can go out on the world.
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Neke zemlje prihvaćaju da njihove baze izlaze u svijet,
16:37
But what we really need is, of course, a search function,
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ali ono što stvarno trebamo je, naravno, funkcija pretraživanja
16:40
a search function where we can copy the data up to a searchable format
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gdje možemo kopirati podatke u formatu priladnom za pretraživanje
16:45
and get it out in the world.
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i pustiti ih u svijet. I što čujemo u svojim obilascima?
16:46
And what do we hear when we go around?
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Radio sam i antropologiju prema glavnim statističkim jedinicama. Svi kažu,
16:49
I've done anthropology on the main statistical units.
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16:52
Everyone says, "It's impossible. This can't be done.
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"Nemoguće. To se ne može. Naše informacije su toliko specifične
16:55
Our information is so peculiar in detail,
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16:57
so that cannot be searched as others can be searched.
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u svojim detaljima da ih se ne može pretraživati kako se pretražuje druge.
17:00
We cannot give the data free to the students,
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Ne možemo dati podatke besplatno studentima, besplatno svjetskim poduzetnicima."
17:03
free to the entrepreneurs of the world."
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Ali to je ono što bismo voljeli vidjeti, zar ne?
17:06
But this is what we would like to see, isn't it?
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Podaci koji se financiraju iz javnih izvora su ovdje dolje.
17:09
The publicly funded data is down here.
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17:11
And we would like flowers to grow out on the net.
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A mi bismo željeli da cvjetovi rastu na Internetu.
17:14
One of the crucial points is to make them searchable,
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A jedan od ključnih elemenata je učiniti ih prikladnim za pretraživanje, a onda
17:17
and then people can use the different design tools to animate it there.
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ljudi mogu koristiti drukčiji oblikovni alat da ih ovdje animiraju.
Imam sasvim dobre vijesti za vas. Dobre su vijesti da sadašnji,
17:22
And I have pretty good news for you.
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17:24
I have good news that the [current],
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17:26
new head of UN statistics doesn't say it's impossible.
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novi direktor UN Statistike ne kaže da je to nemoguće.
17:30
He only says, "We can't do it."
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On kaže samo, "Mi to ne možemo."
17:32
(Laughter)
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(Smijeh)
17:36
And that's a quite clever guy, huh?
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Tip je stvarno pametan, ha?
17:38
(Laughter)
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(Smijeh)
17:40
So we can see a lot happening in data in the coming years.
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U narednim godinama vidjet ćemo da se puno toga događa s podacima.
17:44
We will be able to look at income distributions in completely new ways.
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Moći ćemo promatrati distribuciju dohotka na sasvim nove načine.
17:48
This is the income distribution of China, 1970.
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Ovo je distribucija dohotka Kine 1970. godine.
17:54
This is the income distribution of the United States, 1970.
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Distribucija dohotka Sjedinjenih Država, 1970.
17:58
Almost no overlap.
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Skoro da i nema preklapanja. Skoro da i nema. I što se dogodilo?
18:00
Almost no overlap.
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18:02
And what has happened?
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18:03
What has happened is this:
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Što se dogodilo je sljedeće: Kina raste, ne vlada više takva jednakost,
18:05
that China is growing, it's not so equal any longer,
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18:08
and it's appearing here, overlooking the United States,
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i to se pojavljuje ovdje, nad Sjedinjenim Državama.
18:12
almost like a ghost, isn't it?
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Skoro kao duh, zar ne?
18:14
(Laughter)
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(Smijeh)
18:16
It's pretty scary.
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Ovo je zastrašujuće. Ali mislim da je vrlo važno da imamo sve te informacije.
18:17
(Laughter)
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18:22
But I think it's very important to have all this information.
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18:26
We need really to see it.
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Stvarno ih moramo vidjeti. I umjesto da gledamo ovo,
18:29
And instead of looking at this,
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18:32
I would like to end up by showing the internet users per 1,000.
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htio bih završiti s prikazom korisnika Interneta na 1.000 stanovnika.
18:37
In this software, we access about 500 variables
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Ovim programom imamo lak pristup do 500 varijabli iz svih zemalja.
18:40
from all the countries quite easily.
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Treba nešto vremena da ovo promijenimo,
18:43
It takes some time to change for this,
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18:46
but on the axes, you can quite easily get any variable you would like to have.
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ali na osima možete lako dobiti svaku varijablu koju želite.
I bitno bi bilo objaviti baze podataka besplatno,
18:52
And the thing would be to get up the databases free,
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18:56
to get them searchable, and with a second click,
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prilagoditi ih pretraživanju, i drugim klikom, pretvoriti ih
18:59
to get them into the graphic formats, where you can instantly understand them.
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u grafički oblik u kojem ih smjesta možemo razumjeti.
19:04
Now, statisticians don't like it, because they say
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Sad, statističari to ne vole jer kažu da ovo
19:07
that this will not show the reality;
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ne prikazuje stvarnost; moramo rabiti statističke, analitičke metode.
19:14
we have to have statistical, analytical methods.
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Ali to je stvaranje hipoteza.
19:17
But this is hypothesis-generating.
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19:19
I end now with the world.
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Završavam sa svijetom. Ovdje, dolazi Internet.
19:22
There, the internet is coming.
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19:23
The number of internet users are going up like this.
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Broj Internet korisnika raste ovako. Ovo je BDP po stanovniku.
19:26
This is the GDP per capita.
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I ovo je nova tehnologija što dolazi, ali se zadivljujuće
19:28
And it's a new technology coming in, but then amazingly,
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19:31
how well it fits to the economy of the countries.
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dobro uklapa u gospodarstvo zemalja. Evo zašto će računalo
19:35
That's why the $100 computer will be so important.
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od 100 dolara biti tako važno. No, trend je lijep.
19:38
But it's a nice tendency.
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19:40
It's as if the world is flattening off, isn't it?
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Izgleda kao da se svijet splošćuje, zar ne? Ove zemlje
19:42
These countries are lifting more than the economy,
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se dižu brže od ekonomije i bit će zanimljivo
19:45
and it will be very interesting to follow this over the year,
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promatrati ovo tijekom godine kako bih ja volio da možete
19:48
as I would like you to be able to do with all the publicly funded data.
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s podacima financiranim iz javnih izvora. Hvala vam lijepo.
19:52
Thank you very much.
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19:53
(Applause)
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(Pljesak)
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