Why you should love statistics | Alan Smith

545,605 views ・ 2017-02-22

TED


Please double-click on the English subtitles below to play the video.

Prevodilac: Ivana Krivokuća Lektor: Tijana Mihajlović
00:12
Back in 2003,
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Godine 2003
00:15
the UK government carried out a survey.
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vlada Ujedinjenog Kraljevstva je sprovela istraživanje.
00:19
And it was a survey that measured levels of numeracy
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Bilo je to istraživanje koje je merilo nivo numeričke pismenosti
00:22
in the population.
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u populaciji.
00:23
And they were shocked to find out
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Šokiralo ih je otkriće
00:25
that for every 100 working age adults in the country,
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da je, od svakih 100 radno sposobnih odraslih osoba u zemlji,
00:28
47 of them lacked Level 1 numeracy skills.
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njih 47 bilo ispod prvog nivoa numeričke pismenosti.
00:32
Now, Level 1 numeracy skills -- that's low-end GCSE score.
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Numerička pismenost prvog nivoa - to su niži rezultati
potrebni za sertifikat o srednjoškolskom obrazovanju.
00:37
It's the ability to deal with fractions, percentages and decimals.
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To je sposobnost baratanja razlomcima, procentima i decimalama.
00:40
So this figure prompted a lot of hand-wringing in Whitehall.
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Ova cifra je stoga izazvala mnogo uznemirenosti u vladi.
00:45
Policies were changed,
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Politika je izmenjena,
00:46
investments were made,
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sprovedena su ulaganja,
00:48
and then they ran the survey again in 2011.
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a zatim su 2011. godine ponovo sproveli istraživanje.
00:51
So can you guess what happened to this number?
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Da li onda možete da pogodite šta se dogodilo sa ovim brojem?
00:55
It went up to 49.
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Popeo se na 49.
00:57
(Laughter)
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(Smeh)
00:58
And in fact, when I reported this figure in the FT,
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Zapravo, kada sam izveštavao o ovoj cifri u Fajnenšel tajmsu,
01:01
one of our readers joked and said,
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jedan naš čitalac se našalio i rekao:
01:02
"This figure is only shocking to 51 percent of the population."
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„Ova cifra je šokantna samo za 51 odsto populacije.“
01:06
(Laughter)
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(Smeh)
Ipak mi se više svidela reakcija jednog školarca
01:09
But I preferred, actually, the reaction of a schoolchild
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kada sam predstavljao ovu informaciju u jednoj školi,
01:12
when I presented at a school this information,
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koji je podigao ruku i rekao:
01:15
who raised their hand and said,
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01:16
"How do we know that the person who made that number
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„Kako znamo da i osoba koja je smislila taj broj
nije jedna u tih 49 posto?“
01:19
isn't one of the 49 percent either?"
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01:21
(Laughter)
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(Smeh)
01:22
So clearly, there's a numeracy issue,
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Dakle, očigledno je da postoji problem sa numeričkom pismenošću,
01:26
because these are important skills for life,
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jer su ovo važne životne veštine
01:28
and a lot of the changes that we want to introduce in this century
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i mnoge promena koje želimo da uvedemo u ovom veku
01:32
involve us becoming more comfortable with numbers.
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podrazumevaju da postanemo sigurniji sa brojevima.
To nije samo engleski problem.
01:35
Now, it's not just an English problem.
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01:36
OECD this year released some figures looking at numeracy in young people,
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Organizacija za ekonomsku saradnju i razvoj je objavila izvesne brojke
posmatrajući numeričku pismenost mladih,
01:41
and leading the way, the USA --
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i predvodi SAD -
01:44
nearly 40 percent of young people in the US have low numeracy.
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približno 40 posto mladih u SAD-u ima nizak nivo numeričke pismenosti.
01:49
Now, England is there too,
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Engleska je takođe tu negde,
01:50
but there are seven OECD countries with figures above 20 percent.
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ali postoji sedam zemalja OECD-a sa brojkama iznad 20 odsto.
To je problem, jer ne mora da bude tako.
01:56
That is a problem, because it doesn't have to be that way.
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Ukoliko pogledate deo skroz na kraju ovog grafikona,
01:59
If you look at the far end of this graph,
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možete videti da Holandija i Koreja imaju jednocifrene brojeve.
02:01
you can see the Netherlands and Korea are in single figures.
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02:04
So there's definitely a numeracy problem that we want to address.
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Dakle, definitivno postoji problem numeričke pismenosti
kojim želimo da se pozabavimo.
02:09
Now, as useful as studies like these are,
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Koliko god da su korisne ovakve studije,
02:12
I think we risk herding people inadvertently into one of two categories;
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mislim da rizikujemo da nehotice smestimo ljude u jednu od dve kategorije,
02:17
that there are two kinds of people:
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da postoje dve vrste ljudi:
02:19
those people that are comfortable with numbers, that can do numbers,
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oni kojima brojevi odgovaraju, koji umeju sa brojevima,
02:23
and the people who can't.
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i ljudi koji ne umeju.
02:26
And what I'm trying to talk about here today
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Ono o čemu pokušavam da govorim ovde danas
02:28
is to say that I believe that is a false dichotomy.
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je da verujem da je to lažna dihotomija.
02:31
It's not an immutable pairing.
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To nije nepromenljivo grupisanje.
02:33
I think you don't have to have tremendously high levels of numeracy
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Smatram da ne morate imati užasno visok nivo numeričke pismenosti
02:36
to be inspired by numbers,
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da bi vas inspirisali brojevi,
02:38
and that should be the starting point to the journey ahead.
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i da to treba da bude polazna tačka za putovanje pred nama.
02:42
And one of the ways in which we can begin that journey, for me,
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Jedan od načina na koje možemo započeti to putovanje, za mene,
02:46
is looking at statistics.
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je sagledavanje statistike.
02:48
Now, I am the first to acknowledge that statistics has got somewhat
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Prvi sam koji će priznati da statistika donekle ima
02:51
of an image problem.
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problem sa imidžom.
02:53
(Laughter)
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(Smeh)
02:54
It's the part of mathematics
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To je deo matematike
02:55
that even mathematicians don't particularly like,
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koji čak ni matematičari ne vole naročito,
02:58
because whereas the rest of maths is all about precision and certainty,
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jer, dok se ostatak matematike potpuno svodi na preciznost i sigurnost,
03:02
statistics is almost the reverse of that.
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statistika je gotovo suprotna tome.
03:05
But actually, I was a late convert to the world of statistics myself.
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Zapravo, i sȃm sam kasno prešao u svet statistike.
03:10
If you'd asked my undergraduate professors
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Da ste pitali moje profesore sa osnovnih studija
03:12
what two subjects would I be least likely to excel in after university,
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za koja dva predmeta je najmanje verovatno da se istaknem u njima nakon univerziteta,
03:17
they'd have told you statistics and computer programming,
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rekli bi vam da su to statistika i kompjutersko programiranje,
03:19
and yet here I am, about to show you some statistical graphics
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a ipak, eto me, i uskoro ću vam pokazati neke statističke grafike
03:22
that I programmed.
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koje sam programirao.
03:24
So what inspired that change in me?
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Šta je inspirisalo tu promenu u meni?
03:26
What made me think that statistics was actually an interesting thing?
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Šta me je navelo da pomislim da je statistika zapravo nešto zanimljivo?
Radi se o tome da se statistika zapravo odnosi na nas.
03:30
It's really because statistics are about us.
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03:32
If you look at the etymology of the word statistics,
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Ako pogledate etimologiju reči statistika,
03:35
it's the science of dealing with data
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to je nauka bavljenja podacima
03:37
about the state or the community that we live in.
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o državi ili zajednici u kojoj živimo.
03:40
So statistics are about us as a group,
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Dakle, statistika se odnosi na nas kao grupu,
03:43
not us as individuals.
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a ne kao na pojedince.
03:45
And I think as social animals,
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Mislim da, kao društvene životinje,
03:46
we share this fascination about how we as individuals relate to our groups,
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delimo fascinaciju prema načinu na koji se kao pojedinci odnosimo
03:50
to our peers.
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prema našim grupama, prema nama jednakima.
03:52
And statistics in this way are at their most powerful
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Statistika je na ovaj način najmoćnija
03:55
when they surprise us.
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kada nas iznenadi.
03:57
And there's been some really wonderful surveys carried out recently
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Neka zaista divna istraživanja je nedavno sprovela
organizacija Ipsos MORI poslednjih nekoliko godina.
04:00
by Ipsos MORI in the last few years.
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04:02
They did a survey of over 1,000 adults in the UK,
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Sproveli su ispitivanje na preko 1 000 odraslih u Britaniji
04:04
and said, for every 100 people in England and Wales,
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i upitali: „Na svakih 100 osoba u Engleskoj i Velsu,
04:08
how many of them are Muslim?
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koliko njih su muslimani?“
04:10
Now the average answer from this survey,
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Prosečan odgovor iz ovog istraživanja,
04:13
which was supposed to be representative of the total population, was 24.
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koji je trebalo da zastupa celu populaciju, bio je 24.
04:16
That's what people thought.
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To je ono što su ljudi mislili.
04:20
British people think 24 out of every 100 people in the country are Muslim.
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Britanci misle da su 24 osobe od svakih 100 u zemlji muslimani.
04:24
Now, official figures reveal that figure to be about five.
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Zvanične brojke otkrivaju da je ta cifra oko pet.
04:29
So there's this big variation between what we think, our perception,
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Dakle, postoji veliko odstupanje između onoga što mislimo, naše percepcije,
04:33
and the reality as given by statistics.
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i stvarnosti koju iznosi statistika.
04:35
And I think that's interesting.
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Smatram da je to zanimljivo.
Šta bi moglo biti to što stvara takvu pogrešnu percepciju?
04:37
What could possibly be causing that misperception?
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Bio sam toliko oduševljen ovom studijom
04:41
And I was so thrilled with this study,
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04:42
I started to take questions out in presentations. I was referring to it.
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da sam počeo da iznosim pitanja u prezentacijama, pozivao sam se na nju.
04:46
Now, I did a presentation
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Održao sam prezentaciju
04:47
at St. Paul's School for Girls in Hammersmith,
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u školi za devojčice „Sv. Pavle“ u Hamersmitu
04:49
and I had an audience rather like this,
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i imao sam publiku prilično sličnu ovoj,
osim što se sasvim sastojala od devojčica viših razreda.
04:52
except it was comprised entirely of sixth-form girls.
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Pitao sam: „Devojke,
04:56
And I said, "Girls,
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04:59
how many teenage girls do you think the British public think
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šta mislite, koliko tinejdžerki britanska javnost smatra
05:03
get pregnant every year?"
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da zatrudni svake godine?“
05:05
And the girls were apoplectic when I said
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Šokirale su se kada sam rekao
05:09
the British public think that 15 out of every 100 teenage girls
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da britanska javnost misli da 15 od svakih 100 tinejdžerki
zatrudni svake godine.
05:13
get pregnant in the year.
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05:15
And they had every right to be angry,
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Imale su svako pravo da budu ljute,
05:17
because in fact, I'd have to have closer to 200 dots
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jer sam zapravo morao da se približim za 200 tački
05:20
before I could color one in,
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da bih obojio jednu,
05:21
in terms of what the official figures tell us.
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shodno onome što nam govore zvanični brojevi.
05:24
And rather like numeracy, this is not just an English problem.
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Baš kao i sa numeričkom pismenošću, ovo nije samo engleski problem.
05:28
Ipsos MORI expanded the survey in recent years to go across the world.
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Ipsos MORI je proširio istraživanje širom sveta poslednjih godina.
05:32
And so, they asked Saudi Arabians,
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Tako, kada su upitali Saudijske Arape:
05:35
for every 100 adults in your country,
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„Na svakih 100 odraslih osoba u vašoj zemlji,
05:38
how many of them are overweight or obese?
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koliko njih je prekomerne težine ili gojazno?“
05:42
And the average answer from the Saudis was just over a quarter.
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Prosečan odgovor Saudijskih Arapa bio je nešto više od četvrtine.
To su mislili.
05:48
That's what they thought.
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Tek nešto više od četvrtine odraslih je prekomerne težine ili gojazno.
05:49
Just over a quarter of adults are overweight or obese.
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05:52
The official figures show, actually, it's nearer to three-quarters.
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Zvanične cifre zapravo pokazuju da je taj broj bliži tri četvrtine.
05:56
(Laughter)
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(Smeh)
05:58
So again, a big variation.
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Dakle, još jednom, veliko odstupanje.
06:00
And I love this one: they asked in Japan, they asked the Japanese,
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Obožavam ovu - pitali su u Japanu, postavili su pitanje Japancima:
„Na svakih 100 japanskih stanovnika,
06:05
for every 100 Japanese people,
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koliko njih živi u ruralnim područjima?“
06:07
how many of them live in rural areas?
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06:10
The average was about a 50-50 split, just over halfway.
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Prosek je bio podela na 50-50, nešto više od polovine.
06:15
They thought 56 out of every 100 Japanese people lived in rural areas.
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Mislili su da 56 od svakih 100 Japanaca živi u ruralnim područjima.
06:19
The official figure is seven.
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Zvanična cifra je sedam.
Dakle, izuzetna odstupanja i iznenađujuća za neke,
06:22
So extraordinary variations, and surprising to some,
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06:26
but not surprising to people who have read the work
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ali ne iznenađuju ljude koji su pročitali delo
06:28
of Daniel Kahneman, for example, the Nobel-winning economist.
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Danijela Kanemana, na primer, ekonomiste i dobitnika Nobelove nagrade.
06:33
He and his colleague, Amos Tversky, spent years researching this disjoint
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On i njegov kolega Amos Tverski proveli su godine istražujući razdor
06:38
between what people perceive and the reality,
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između onog što ljudi opažaju i realnosti,
06:41
the fact that people are actually pretty poor intuitive statisticians.
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činjenicu da su ljudi zapravo prilično loši intuitivni statističari.
06:45
And there are many reasons for this.
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Postoji mnogo razloga za to.
Individualna iskustva, naravno, mogu uticati na našu percepciju,
06:47
Individual experiences, certainly, can influence our perceptions,
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06:50
but so, too, can things like the media reporting things by exception,
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ali i mediji koji izveštavaju o stvarima koje su izuzeci,
06:54
rather than what's normal.
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češće nego o onome što je normalno.
06:56
Kahneman had a nice way of referring to that.
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Kaneman je imao fin način da govori o tome.
06:58
He said, "We can be blind to the obvious" --
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Rekao je: „Možemo biti slepi za očigledno“ -
07:00
so we've got the numbers wrong --
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dakle, grešimo u brojevima -
07:02
"but we can be blind to our blindness about it."
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„ali možemo biti slepi za naše slepilo u vezi sa time.“
07:04
And that has enormous repercussions for decision making.
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A to ima ogromne posledice za donošenje odluka.
07:08
So at the statistics office while this was all going on,
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U statističkoj kancelariji, dok se sve ovo dešavalo,
mislio sam da je to zaista zanimljivo.
07:11
I thought this was really interesting.
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Rekoh, ovo je očigledno globalni problem,
07:13
I said, this is clearly a global problem,
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ali možda geografija ovde predstavlja problem.
07:15
but maybe geography is the issue here.
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07:17
These were questions that were all about, how well do you know your country?
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Sva ta pitanja su se odnosila na to koliko dobro poznajete svoju zemlju.
07:21
So in this case, it's how well do you know 64 million people?
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U ovom slučaju, to je koliko dobro poznajete 64 miliona ljudi.
07:25
Not very well, it turns out. I can't do that.
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Ne baš dobro, ispostavilo se. Ne umem ja to.
07:28
So I had an idea,
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Stoga sam dobio ideju,
07:29
which was to think about this same sort of approach
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a to je bilo da razmišljam o istoj ovakvoj vrsti pristupa,
07:32
but to think about it in a very local sense.
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ali da razmišljam o njemu u vrlo lokalnom smislu.
07:34
Is this a local?
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Da li je ovo lokalno?
Ako preformulišemo pitanje i kažemo
07:36
If we reframe the questions and say,
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koliko dobro poznajete svoje lokalno područje,
07:38
how well do you know your local area,
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07:40
would your answers be any more accurate?
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da li će odgovori biti išta tačniji?
07:43
So I devised a quiz:
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Tako sam osmislio kviz
07:45
How well do you know your area?
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koliko dobro poznajete svoj kraj.
07:48
It's a simple Web app.
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To je jednostavna veb-aplikacija.
07:50
You put in a post code
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Unesete poštanski broj
07:51
and then it will ask you questions based on census data
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i zatim vam postavlja pitanja na osnovu popisnih podataka
07:54
for your local area.
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za vašu lokalnu teritoriju.
07:56
And I was very conscious in designing this.
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Veoma sam promišljeno ovo dizajnirao.
07:58
I wanted to make it open to the widest possible range of people,
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Želeo sam da je učinim otvorenom za najširi mogući opseg ljudi,
08:02
not just the 49 percent who can get the numbers.
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ne samo za 49 posto koji mogu da pogode projeve.
08:05
I wanted everyone to engage with it.
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Želeo sam da se svi pozabave njome.
Pri dizajnu kviza,
08:07
So for the design of the quiz,
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08:08
I was inspired by the isotypes
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bio sam inspirisan izotipovima
08:12
of Otto Neurath from the 1920s and '30s.
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Ota Nojrata iz '20-ih i '30-ih godina.
08:14
Now, these are methods for representing numbers
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To su metode predstavljanja brojeva
08:19
using repeating icons.
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korišćenjem ponavljanja ikona.
08:21
And the numbers are there, but they sit in the background.
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Brojevi su tu, ali sede u pozadini.
08:24
So it's a great way of representing quantity
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Zato je to sjajan način predstavljanja količine
08:27
without resorting to using terms like "percentage,"
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bez pribegavanja korišćenju termina kao što su „procenat“,
08:30
"fractions" and "ratios."
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„razlomci“ i „razmera“.
08:31
So here's the quiz.
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Evo kviza.
08:34
The layout of the quiz is,
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Postavka kviza je takva
08:35
you have your repeating icons on the left-hand side there,
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da imate ikonice koje se ponavljaju tu na levoj strani
08:38
and a map showing you the area we're asking you questions about
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i mapu koja vam pokazuje oblast o kojoj vam postavljamo pitanja
08:41
on the right-hand side.
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na desnoj strani.
08:42
There are seven questions.
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Postoji sedam pitanja.
08:44
Each question, there's a possible answer between zero and a hundred,
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Za svako pitanje je moguć odgovor između nule i stotine,
08:48
and at the end of the quiz,
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a na kraju kviza dobijate ukupan rezultat između nule i stotine.
08:49
you get an overall score between zero and a hundred.
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08:52
And so because this is TEDxExeter,
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A pošto je ovo TEDxExeter,
08:54
I thought we would have a quick look at the quiz
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mislio sam da bacimo pogled na kviz
za prvih nekoliko pitanja o Egzeteru.
08:57
for the first few questions of Exeter.
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08:59
And so the first question is:
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Tako je prvo pitanje:
„Na svakih 100 ljudi, koliko njih je uzrasta ispod 16 godina?“
09:01
For every 100 people, how many are aged under 16?
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09:04
Now, I don't know Exeter very well at all, so I had a guess at this,
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Ja uopšte ne poznajem dobro Egzeter, pa sam morao da pogađam,
09:08
but it gives you an idea of how this quiz works.
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ali daje vam predstavu o tome kako ovaj kviz funkcioniše.
09:10
You drag the slider to highlight your icons,
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Prevučete klizač da biste označili svoje ikonice,
09:14
and then just click "Submit" to answer,
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zatim samo kliknete „pošalji“ da biste odgovorili,
09:16
and we animate away the difference between your answer and reality.
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i napravimo animaciju razlike između vašeg odgovora i stvarnosti.
09:20
And it turns out, I was a pretty terrible guess: five.
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Ispostavilo se da sam dao prilično lošu pretpostavku: pet.
09:24
How about the next question?
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A sledeće pitanje?
09:26
This is asking about what the average age is,
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Ono pita koji je prosečni uzrast,
09:28
so the age at which half the population are younger
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dakle, uzrast od koga je polovina populacije mlađa,
a polovina populacije je starija.
09:31
and half the population are older.
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09:32
And I thought 35 -- that sounds middle-aged to me.
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Pomislio sam da je 35 - to mi zvuči sredovečno.
09:36
(Laughter)
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(Smeh)
Zapravo, u Egzeteru, to su neverovatno mlade godine,
09:40
Actually, in Exeter, it's incredibly young,
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09:42
and I had underestimated the impact of the university in this area.
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a ja sam potcenio uticaj univerziteta u ovoj oblasti.
09:46
The questions get harder as you go through.
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Pitanja postaju sve teža dok prolazite kroz njih.
09:48
So this one's now asking about homeownership:
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Ovo pita o vlasništvu nad kućama.
09:51
For every 100 households, how many are owned with a mortgage or loan?
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Od svakih 100 domaćinstava,
koliko njih je u posedu uz hipoteku ili kredit?
09:55
And I hedged my bets here,
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Ovde sam se ograničio ulog,
09:56
because I didn't want to be more than 50 out on the answer.
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zato što nisam hteo da omašim odgovor za više od 50.
09:59
(Laughter)
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(Smeh)
10:01
And actually, these get harder, these questions,
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Zapravo, pitanja postaju teža
10:04
because when you're in an area, when you're in a community,
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jer kada ste u nekom okruženju, kada ste u nekoj zajednici,
10:07
things like age -- there are clues to whether a population is old or young.
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stvari poput godina - postoje naznake da li je stanovništvo mlado ili staro.
10:12
Just by looking around the area, you can see it.
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Možete to videti samo razgledajući oblast.
10:14
Something like homeownership is much more difficult to see,
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Nešto poput vlasništva nad kućama je mnogo teže videti,
10:18
so we revert to our own heuristics,
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pa se okrećemo svojim heuristicima,
sopstvenim pristrasnostima
10:21
our own biases about how many people we think own their own homes.
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o tome koliko ljudi mislimo da poseduje svoje domove.
10:25
Now the truth is, when we published this quiz,
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Istina, kada smo objavili ova kviz,
10:29
the census data that it's based on was already a few years old.
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popisni podaci na kojima je zasnovan bili su već stari nekoliko godina.
10:32
We've had online applications that allow you to put in a post code
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Imali smo onlajn aplikaciju koja omogućava da unesete poštanski broj
10:36
and get statistics back for years.
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i dobijete statistiku godinama unazad.
10:38
So in some senses,
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Prema tome, na neki način,
10:39
this was all a little bit old and not necessarily new.
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ovo je bilo pomalo zastarelo i ne nužno novo.
Ali me je interesovalo da vidim kakvu reakciju bismo mogli dobiti
10:43
But I was interested to see what reaction we might get
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10:46
by gamifying the data in the way that we have,
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pretvaranjem podataka u igru na način na koji smo to postigli,
10:49
by using animation
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korišćenjem animacije
i poigravanjem činjenicom da ljudi imaju sopstvena predubeđenja.
10:51
and playing on the fact that people have their own preconceptions.
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10:55
It turns out, the reaction was, um ...
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Ispostavilo se da je reakcija
11:00
was more than I could have hoped for.
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bila veća nego što sam se nadao.
11:02
It was a long-held ambition of mine to bring down a statistics website
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Dugo je bila moja ambicija da srušim statistički veb-sajt
11:05
due to public demand.
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zbog potražnje javnosti.
11:06
(Laughter)
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(Smeh)
11:08
This URL contains the words "statistics," "gov" and "UK,"
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Ova veb-adresa sadrži reči „statistika“, „gov“ i „uk“,
11:12
which are three of people's least favorite words in a URL.
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što su tri najmanje omiljene reči u jednoj veb-adresi.
11:15
And the amazing thing about this was that the website came down
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Iznenađujuće je da je veb-sajt pao
11:19
at quarter to 10 at night,
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u 15 do 10 noću,
11:21
because people were actually engaging with this data
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jer su se ljudi zapravo bavili ovim podacima dobrovoljno,
11:24
of their own free will,
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11:26
using their own personal time.
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koristeći svoje lično vreme.
11:28
I was very interested to see
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Bilo je veoma zanimljivo videti
da imamo oko četvrtine miliona ljudi
11:31
that we got something like a quarter of a million people
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11:34
playing the quiz within the space of 48 hours of launching it.
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koji igraju kviz u okviru od 48 sati od njegovog pokretanja.
To je izazvalo ogromne diskusije na internetu, na društvenim medijima,
11:38
And it sparked an enormous discussion online, on social media,
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11:41
which was largely dominated
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kojima su u velikoj meri dominirali
ljudi koji su se zabavljali sa svojim zabludama,
11:44
by people having fun with their misconceptions,
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što je nešto najbolje čemu sam se mogao nadati,
11:48
which is something that I couldn't have hoped for any better,
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11:51
in some respects.
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u neku ruku.
11:52
I also liked the fact that people started sending it to politicians.
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Takođe mi se dopala činjenica da su ljudi počeli da ga šalju političarima.
11:55
How well do you know the area you claim to represent?
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Koliko dobro poznajete oblast koju tvrdite da zastupate?
11:58
(Laughter)
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(Smeh)
11:59
And then just to finish,
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Potom, samo za kraj,
12:01
going back to the two kinds of people,
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ako se vratim na one dve vrste ljudi,
12:04
I thought it would be really interesting to see
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pomislio sam da bi bilo zanimljivo videti
12:06
how people who are good with numbers would do on this quiz.
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kako bi ljudi kojima dobro idu brojevi prošli na ovom kvizu.
12:09
The national statistician of England and Wales, John Pullinger,
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Za nacionalnog statističara Engleske i Velsa, Džona Pulindžera,
12:12
you would expect he would be pretty good.
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očekivali biste da će dobro proći.
12:15
He got 44 for his own area.
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Dobio je 44 za sopstveni kraj.
12:17
(Laughter)
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(Smeh)
12:20
Jeremy Paxman -- admittedly, after a glass of wine -- 36.
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Džeremi Paksmen - doduše, posle čaše vina - 36.
12:25
Even worse.
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Još gore.
12:27
It just shows you that the numbers can inspire us all.
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To vam samo pokazuje da brojevi mogu inspirisati sve nas.
12:30
They can surprise us all.
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Sve nas mogu iznenaditi.
12:31
So very often, we talk about statistics
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Tako veoma često govorimo o statistici
12:33
as being the science of uncertainty.
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kao o nauci o nesigurnosti.
12:35
My parting thought for today is:
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Misao sa kojom ću se danas rastati od vas
12:37
actually, statistics is the science of us.
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je da je statistika zapravo nauka o nama.
12:40
And that's why we should be fascinated by numbers.
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Zato bi trebalo da budemo fascinirani brojevima.
12:43
Thank you very much.
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Mnogo vam hvala.
12:44
(Applause)
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(Aplauz)
About this website

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