Why you should love statistics | Alan Smith

545,605 views ・ 2017-02-22

TED


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Translator: Niels Justus Reviewer: Sune Vilsted Østergaard
00:12
Back in 2003,
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Tilbage i 2003,
00:15
the UK government carried out a survey.
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gennemførte den britiske regering en undersøgelse,
00:19
And it was a survey that measured levels of numeracy
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der målte regnefærdigheden
00:22
in the population.
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i befolkningen.
00:23
And they were shocked to find out
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Og de var rystet over at se,
00:25
that for every 100 working age adults in the country,
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at for hver 100 erhvervsaktive voksne,
00:28
47 of them lacked Level 1 numeracy skills.
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manglede 47 af dem niveau 1-regnefærdigheder.
00:32
Now, Level 1 numeracy skills -- that's low-end GCSE score.
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Niveau 1-regnefærdighed -- det er en lav GCSE-score.
00:37
It's the ability to deal with fractions, percentages and decimals.
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Det er evnen til at regne med brøker, procenter og decimaler.
00:40
So this figure prompted a lot of hand-wringing in Whitehall.
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Dette tal skabte en masse hændervridning i Whitehall.
00:45
Policies were changed,
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Politikker blev ændret,
00:46
investments were made,
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investeringer blev foretaget.
00:48
and then they ran the survey again in 2011.
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Derefter udførte man undersøgelsen igen i 2011.
00:51
So can you guess what happened to this number?
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Kan I gætte, hvad der skete med dette tal?
00:55
It went up to 49.
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Det gik op til 49.
00:57
(Laughter)
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(Latter)
00:58
And in fact, when I reported this figure in the FT,
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Og da jeg skrev om dette tal i Financial Times,
01:01
one of our readers joked and said,
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spurgte en af vore læsere og sagde:
01:02
"This figure is only shocking to 51 percent of the population."
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"Dette tal er kun chokerende for 51 procent af befolkningen."
01:06
(Laughter)
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(Latter)
01:09
But I preferred, actually, the reaction of a schoolchild
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Men jeg foretrak reaktionen fra en skoleelev,
01:12
when I presented at a school this information,
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da jeg præsenterede denne information på en skole.
01:15
who raised their hand and said,
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Han rejste sin hånd og spurgte:
01:16
"How do we know that the person who made that number
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"Hvordan kan vi vide, at ham, der regnede tallet ud,
01:19
isn't one of the 49 percent either?"
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ikke også var en af de 49 procent?"
01:21
(Laughter)
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(Latter)
01:22
So clearly, there's a numeracy issue,
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Det er klart, at der er et problem med regnefærdigheden,
01:26
because these are important skills for life,
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fordi dette er en vigtig færdighed i livet.
01:28
and a lot of the changes that we want to introduce in this century
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Mange af de forandringer, som vi gerne vil gennemføre i dette århundrede
01:32
involve us becoming more comfortable with numbers.
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involverer, at vi bliver mere komfortable med tal.
01:35
Now, it's not just an English problem.
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Det er ikke bare et engelsk problem.
01:36
OECD this year released some figures looking at numeracy in young people,
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OECD udgav i år nogle tal om regnefærdighed hos unge,
01:41
and leading the way, the USA --
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og forrest lå USA
01:44
nearly 40 percent of young people in the US have low numeracy.
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med næsten 40 procent af unge, som har ringe regnefærdigheder.
01:49
Now, England is there too,
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England er der også,
01:50
but there are seven OECD countries with figures above 20 percent.
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men der er syv OECD-lande med værdier over 20 procent.
01:56
That is a problem, because it doesn't have to be that way.
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Det er et problem, fordi det ikke behøver at være sådan.
01:59
If you look at the far end of this graph,
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Ser man på den anden ende af denne graf,
02:01
you can see the Netherlands and Korea are in single figures.
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kan man se Holland og Korea med ét ciffer-størrelser.
02:04
So there's definitely a numeracy problem that we want to address.
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Der er et problem med regnefærdigheden, som der skal gøres noget ved.
02:09
Now, as useful as studies like these are,
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Selvom disse undersøgelser er nyttige,
02:12
I think we risk herding people inadvertently into one of two categories;
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tror jeg, at vi risikerer uforvarende at putte folk i én af to kategorier;
02:17
that there are two kinds of people:
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at der er to slags mennesker:
02:19
those people that are comfortable with numbers, that can do numbers,
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de mennesker, der er komfortable med tal, som kan regne med tal,
02:23
and the people who can't.
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og de mennesker, der ikke kan.
02:26
And what I'm trying to talk about here today
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Og det, jeg forsøger at sige,
02:28
is to say that I believe that is a false dichotomy.
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er, at jeg tror, at det er en falsk modsætning.
02:31
It's not an immutable pairing.
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Det er ikke en uforanderlig parring.
02:33
I think you don't have to have tremendously high levels of numeracy
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Jeg tror ikke, man behøver en voldsom god talforståelse
02:36
to be inspired by numbers,
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for at interessere sig for tal,
02:38
and that should be the starting point to the journey ahead.
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og det bør være udgangspunktet for, hvad vi gør fremover.
02:42
And one of the ways in which we can begin that journey, for me,
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Og en af måderne, hvorpå vi kan gøre tal interessante, er, for mig,
02:46
is looking at statistics.
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at se på statistikken.
02:48
Now, I am the first to acknowledge that statistics has got somewhat
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Nu er jeg den første til at erkende, at statistikken
02:51
of an image problem.
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har lidt af et imageproblem.
02:53
(Laughter)
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(Latter)
02:54
It's the part of mathematics
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Det er den del af matematikken,
02:55
that even mathematicians don't particularly like,
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som selv matematikere ikke holder ret meget af,
02:58
because whereas the rest of maths is all about precision and certainty,
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fordi, mens resten af matematikken handler om præcision og sikkerhed,
03:02
statistics is almost the reverse of that.
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er statistik næsten det modsatte.
03:05
But actually, I was a late convert to the world of statistics myself.
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Jeg var faktisk sen til at konvertere til statistikken.
03:10
If you'd asked my undergraduate professors
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Hvis man havde spurgt mine professorer,
03:12
what two subjects would I be least likely to excel in after university,
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om hvilke to emner jeg næppe ville udmærke mig i efter universitetet,
03:17
they'd have told you statistics and computer programming,
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ville de have sagt statistik og programmering af computere,
03:19
and yet here I am, about to show you some statistical graphics
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og alligevel er jeg ved at vise jer statistiske grafikker,
03:22
that I programmed.
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som jeg har programmeret.
03:24
So what inspired that change in me?
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Hvad fik mig til den forandring?
03:26
What made me think that statistics was actually an interesting thing?
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Hvad fik mig til at tænke, at statistikken faktisk er interessant?
03:30
It's really because statistics are about us.
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Det var fordi statistik handler om os.
03:32
If you look at the etymology of the word statistics,
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Hvis man ser på etymologien for ordet statistik,
03:35
it's the science of dealing with data
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er det videnskaben om data,
03:37
about the state or the community that we live in.
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om staten eller det samfund, som vi lever i.
03:40
So statistics are about us as a group,
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Så statistik drejer sig om os som en gruppe,
03:43
not us as individuals.
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ikke os som individer.
03:45
And I think as social animals,
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Og jeg tror, som sociale dyr,
03:46
we share this fascination about how we as individuals relate to our groups,
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vi deler denne interesse i, hvordan vi er, i forhold til vore grupper,
03:50
to our peers.
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til vore jævnaldrende.
03:52
And statistics in this way are at their most powerful
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Og statistik er på denne måde mest kraftfuldt,
03:55
when they surprise us.
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når den overrasker os.
03:57
And there's been some really wonderful surveys carried out recently
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Der er blevet lavet nogle vidunderlige undersøgelser for nyligt
04:00
by Ipsos MORI in the last few years.
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af Ipsos MORI i de sidste par år.
04:02
They did a survey of over 1,000 adults in the UK,
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De undersøgte over 1.000 voksne i Storbritannien.
04:04
and said, for every 100 people in England and Wales,
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Man spurgte, "For hver 100 mennesker i England og Wales,
04:08
how many of them are Muslim?
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hvor mange af dem er muslimer?"
04:10
Now the average answer from this survey,
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Det gennemsnitlige svar fra denne undersøgelse,
04:13
which was supposed to be representative of the total population, was 24.
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som skulle repræsentere den samlede befolkning, var 24.
04:16
That's what people thought.
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Det er, hvad folk tænker.
04:20
British people think 24 out of every 100 people in the country are Muslim.
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Britter tror at 24 ud af 100 mennesker er muslimer.
04:24
Now, official figures reveal that figure to be about five.
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Det officielle tal viser, at tallet er omkring fem.
04:29
So there's this big variation between what we think, our perception,
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Der er en stor forskel mellem, hvad vi tror,
04:33
and the reality as given by statistics.
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og den statistiske virkelighed.
04:35
And I think that's interesting.
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Jeg synes, det er interessant.
04:37
What could possibly be causing that misperception?
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Hvad kunne være årsagen til denne fejlopfattelse?
04:41
And I was so thrilled with this study,
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Jeg var så begejstret over det,
04:42
I started to take questions out in presentations. I was referring to it.
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at jeg begyndte at stille spørgsmål ved mine foredrag. Jeg fortalte om det.
04:46
Now, I did a presentation
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Jeg gav et foredrag
04:47
at St. Paul's School for Girls in Hammersmith,
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på St. Pauls School for Girls i Hammersmith,
04:49
and I had an audience rather like this,
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og jeg havde et publikum magen til jer,
04:52
except it was comprised entirely of sixth-form girls.
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bortset fra, at det udelukkende bestod af piger i 10. klasse.
04:56
And I said, "Girls,
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Og jeg spurgte, "Piger,
04:59
how many teenage girls do you think the British public think
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hvor mange teenagepiger tror I, at den britiske offentlighed mener
05:03
get pregnant every year?"
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bliver gravid hvert år?"
05:05
And the girls were apoplectic when I said
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Og pigerne blev rasende, da jeg sagde,
05:09
the British public think that 15 out of every 100 teenage girls
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den britiske offentlighed mener, at 15 ud af hver 100 teenagepiger
05:13
get pregnant in the year.
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bliver gravide hvert år.
05:15
And they had every right to be angry,
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Og de havde god grund til at være vred,
05:17
because in fact, I'd have to have closer to 200 dots
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fordi jeg skulle bruge flere end 200 prikker,
05:20
before I could color one in,
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før jeg kunne farve én,
05:21
in terms of what the official figures tell us.
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til at vise, hvad de officielle tal siger.
05:24
And rather like numeracy, this is not just an English problem.
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Ligesom regnefærdighed, er dette ikke bare et engelsk problem.
05:28
Ipsos MORI expanded the survey in recent years to go across the world.
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Ipsos MORI udvidede undersøgelsen med mange lande.
05:32
And so, they asked Saudi Arabians,
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De spurgte de saudiske arabere:
05:35
for every 100 adults in your country,
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"For hver 100 voksne i dit land,
05:38
how many of them are overweight or obese?
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hvor mange af dem er overvægtige eller fede?"
05:42
And the average answer from the Saudis was just over a quarter.
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Det gennemsnitlige svar fra saudierne var lidt over en fjerdedel.
05:48
That's what they thought.
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Det er, hvad de troede.
05:49
Just over a quarter of adults are overweight or obese.
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Lidt over en fjerdedel var overvægtige eller fede.
05:52
The official figures show, actually, it's nearer to three-quarters.
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De officielle tal viser faktisk, at det er tættere på tre fjerdedele.
05:56
(Laughter)
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(Latter)
05:58
So again, a big variation.
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Så igen, en stor forskel.
06:00
And I love this one: they asked in Japan, they asked the Japanese,
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Jeg elsker denne her. De spurgte i Japan:
06:05
for every 100 Japanese people,
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"For hver 100 japanere,
06:07
how many of them live in rural areas?
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hvor mange af dem bor i landdistrikterne?"
06:10
The average was about a 50-50 split, just over halfway.
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Den gennemsnitlige svar var omkring 50-50, lidt over halvvejs.
06:15
They thought 56 out of every 100 Japanese people lived in rural areas.
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De troede, at 56 ud af hver 100 japanere levede i landdistrikterne.
06:19
The official figure is seven.
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Det officielle tal er syv.
06:22
So extraordinary variations, and surprising to some,
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Ekstraordinære forskelle, og overraskende for nogle,
06:26
but not surprising to people who have read the work
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men ikke overraskende for folk, som har læst
06:28
of Daniel Kahneman, for example, the Nobel-winning economist.
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Daniel Kahnemans arbejde: Nobel-prismodtager i økonomi.
06:33
He and his colleague, Amos Tversky, spent years researching this disjoint
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Han og hans kollega, Amos Tversky, brugte år på undersøgelser af denne
06:38
between what people perceive and the reality,
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uoverensstemmelse mellem, hvad folk oplever og virkelighededen.
06:41
the fact that people are actually pretty poor intuitive statisticians.
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Det faktum, at folk faktisk er temmelig dårlige intuitive statistikere.
06:45
And there are many reasons for this.
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Og der er mange grunde til dette.
06:47
Individual experiences, certainly, can influence our perceptions,
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Individuelle erfaringer kan i hvert fald påvirke vore opfattelser.
06:50
but so, too, can things like the media reporting things by exception,
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Men også det, at medierne skriver om det usædvanlige,
06:54
rather than what's normal.
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snarere end hvad der er normalt.
06:56
Kahneman had a nice way of referring to that.
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Kahneman udtrykte det på en pæn måde.
06:58
He said, "We can be blind to the obvious" --
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Han sagde: "Vi kan være blinde overfor det indlysende" --
07:00
so we've got the numbers wrong --
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så vi tror på forkerte tal --
07:02
"but we can be blind to our blindness about it."
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"men vi kan være blinde overfor vores blindhed."
07:04
And that has enormous repercussions for decision making.
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Det har enorme konsekvenser for beslutningstagning.
07:08
So at the statistics office while this was all going on,
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Dengang syntes jeg,
07:11
I thought this was really interesting.
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at dette var virkeligt interessant.
07:13
I said, this is clearly a global problem,
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Jeg sagde, at dette er et globalt problem,
07:15
but maybe geography is the issue here.
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men måske er det geografien, der er problemet her.
07:17
These were questions that were all about, how well do you know your country?
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Spørgsmålene drejede sig om, hvor godt kender du dit land?
07:21
So in this case, it's how well do you know 64 million people?
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Sagt på en anden måde: Hvor godt kender du 64 millioner mennesker?
07:25
Not very well, it turns out. I can't do that.
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Ikke særlig godt viste det sig. Jeg kunne ikke gøre det.
07:28
So I had an idea,
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Så jeg fik en idé,
07:29
which was to think about this same sort of approach
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som var, at have samme slags tilgang,
07:32
but to think about it in a very local sense.
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men at sætte det i en meget lokal sammenhæng.
07:34
Is this a local?
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Er det om det lokale?
07:36
If we reframe the questions and say,
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Hvis vi omformulerer og spørger,
07:38
how well do you know your local area,
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hvor godt kender du dit lokalområde,
07:40
would your answers be any more accurate?
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ville svarene så blive mere præcise?
07:43
So I devised a quiz:
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Så jeg udtænkte en quiz:
07:45
How well do you know your area?
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Hvor godt kender du dit område?
07:48
It's a simple Web app.
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Det er en simpel web-app.
07:50
You put in a post code
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Man skriver et postnummer,
07:51
and then it will ask you questions based on census data
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og så stiller den spørgsmål baseret på folketællingsdata
07:54
for your local area.
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for lokalområdet.
07:56
And I was very conscious in designing this.
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Jeg var meget bevidst om designet.
07:58
I wanted to make it open to the widest possible range of people,
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Jeg ønskede at gøre det åbent for det bredeste udvalg af befolkningen.
08:02
not just the 49 percent who can get the numbers.
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Ikke bare de 49 procent, der kan regne.
08:05
I wanted everyone to engage with it.
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Jeg ønskede at alle deltog i det.
08:07
So for the design of the quiz,
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Så til udformningen af quizzen,
08:08
I was inspired by the isotypes
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blev jeg inspireret af isotyperne
08:12
of Otto Neurath from the 1920s and '30s.
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af Otto Neurath fra 1920'erne og 30'erne.
08:14
Now, these are methods for representing numbers
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Det er metoder til repræsentere tal
08:19
using repeating icons.
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ved hjælp gentagne ikoner.
08:21
And the numbers are there, but they sit in the background.
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Tallene er der, men de findes i baggrunden.
08:24
So it's a great way of representing quantity
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Det er en fantastisk måde at repræsentere en mængde
08:27
without resorting to using terms like "percentage,"
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uden at ty til at bruge udtryk som "procent",
08:30
"fractions" and "ratios."
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"fraktioner" og "nøgletal".
08:31
So here's the quiz.
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Her er quizzen.
08:34
The layout of the quiz is,
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Layoutet af quizzen er,
08:35
you have your repeating icons on the left-hand side there,
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man har de gentage ikoner på venstre side,
08:38
and a map showing you the area we're asking you questions about
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og et kort, der viser dig det område, vi stiller spørgsmål til
08:41
on the right-hand side.
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på højre side.
08:42
There are seven questions.
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Der er syv spørgsmål.
08:44
Each question, there's a possible answer between zero and a hundred,
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For hvert spørgsmål, er der et muligt svar mellem nul og hundrede,
08:48
and at the end of the quiz,
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og i slutningen af quizzen
08:49
you get an overall score between zero and a hundred.
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får du en samlet score mellem nul og hundrede.
08:52
And so because this is TEDxExeter,
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Og så fordi dette er TEDxExeter,
08:54
I thought we would have a quick look at the quiz
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tænkte jeg, vi tager et hurtigt kig på quizzen
08:57
for the first few questions of Exeter.
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for de første par spørgsmål af Exeter.
08:59
And so the first question is:
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Så det første spørgsmål er:
09:01
For every 100 people, how many are aged under 16?
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"For hver 100 mennesker, hvor mange er under 16 år?"
09:04
Now, I don't know Exeter very well at all, so I had a guess at this,
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Nu kender jeg ikke Exeter ret godt, så jeg gættede,
09:08
but it gives you an idea of how this quiz works.
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men det giver en idé om, hvordan denne quiz fungerer.
09:10
You drag the slider to highlight your icons,
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Man trækker skyderen for at fremhæve ikonerne,
09:14
and then just click "Submit" to answer,
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og så bare klikke på "Send" for at svare,
09:16
and we animate away the difference between your answer and reality.
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og vi animerer forskellen mellem dit svar og virkeligheden.
09:20
And it turns out, I was a pretty terrible guess: five.
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Og det viste sig, at jeg havde et ret forfærdeligt gæt: fem.
09:24
How about the next question?
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Hvad med det næste spørgsmål?
09:26
This is asking about what the average age is,
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Det spørger hvad den gennemsnitlige alder er,
09:28
so the age at which half the population are younger
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den alder, hvor halvdelen af befolkningen er yngre
09:31
and half the population are older.
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og halvdelen er ældre.
09:32
And I thought 35 -- that sounds middle-aged to me.
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Og jeg troede 35, det lød midaldrende for mig.
09:36
(Laughter)
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(Latter)
09:40
Actually, in Exeter, it's incredibly young,
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Det er utroligt ungt i Exeter.
09:42
and I had underestimated the impact of the university in this area.
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Jeg havde undervurderet virkningen af universitetet her i området.
09:46
The questions get harder as you go through.
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Spørgsmålene bliver sværere efterhånden.
09:48
So this one's now asking about homeownership:
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Denne spørger om eget hus:
09:51
For every 100 households, how many are owned with a mortgage or loan?
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"For hver 100 husstande, hvor mange har et banklån?"
09:55
And I hedged my bets here,
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Jeg afdækkede mine gæt her,
09:56
because I didn't want to be more than 50 out on the answer.
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for jeg ikke ønskede, at have flere end 50 forkert.
09:59
(Laughter)
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(Latter)
10:01
And actually, these get harder, these questions,
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Disse spørgsmål bliver sværere og sværere,
10:04
because when you're in an area, when you're in a community,
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for når du bor i et område, når du bor i et samfund,
10:07
things like age -- there are clues to whether a population is old or young.
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er der fingerpeg om, hvorvidt befolkningen er gammel eller ung.
10:12
Just by looking around the area, you can see it.
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Bare ved at kigge rundt i området, kan man se det.
10:14
Something like homeownership is much more difficult to see,
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Noget som det at eje hus er langt vanskeligere at se,
10:18
so we revert to our own heuristics,
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så vi vender tilbage til vore egen heuristik,
10:21
our own biases about how many people we think own their own homes.
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vore egne fordomme om, hvor mange vi tror ejer deres eget hjem.
10:25
Now the truth is, when we published this quiz,
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Nu er sandheden den, at da vi offentliggjorde denne quiz,
10:29
the census data that it's based on was already a few years old.
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var de data, som det er baseret på, allerede et par år gamle.
10:32
We've had online applications that allow you to put in a post code
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Vi har haft online-applikationer, der tillader en at skrive et postnummer
10:36
and get statistics back for years.
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og få statistik fra årevis tilbage.
10:38
So in some senses,
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Så på en måde,
10:39
this was all a little bit old and not necessarily new.
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var dette altsammen lidt gammelt og ikke nødvendigvis nyt.
10:43
But I was interested to see what reaction we might get
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Men jeg var interesseret i at se, hvilken reaktion man kan få
10:46
by gamifying the data in the way that we have,
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ved at gamificere det
10:49
by using animation
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ved hjælp af animation
10:51
and playing on the fact that people have their own preconceptions.
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og lege med det faktum, at folk har deres egne fordomme.
10:55
It turns out, the reaction was, um ...
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Det viste sig, at reaktionen
11:00
was more than I could have hoped for.
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var mere end jeg kunne have håbet på.
11:02
It was a long-held ambition of mine to bring down a statistics website
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Det var en af mine ambitioner at bringe en statistik-hjemmeside i knæ
11:05
due to public demand.
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grundet offentlig efterspørgsel.
11:06
(Laughter)
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(Latter)
11:08
This URL contains the words "statistics," "gov" and "UK,"
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Denne URL indeholder ordene "statistik", "gov" og "UK",
11:12
which are three of people's least favorite words in a URL.
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som er tre af folks mindst foretrukne ord i en URL.
11:15
And the amazing thing about this was that the website came down
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Og det fantastiske ved dette var, at hjemmesiden gik i knæ
11:19
at quarter to 10 at night,
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kvarter i 10 om aftenen,
11:21
because people were actually engaging with this data
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fordi folk faktisk legede med disse data
11:24
of their own free will,
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af egen fri vilje,
11:26
using their own personal time.
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og i deres egen tid.
11:28
I was very interested to see
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Jeg fandt det meget interessant,
11:31
that we got something like a quarter of a million people
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at vi fik noget i retning af en kvart million mennesker,
11:34
playing the quiz within the space of 48 hours of launching it.
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der spillede quizzen gennem 48 timer efter den blev lanceret.
11:38
And it sparked an enormous discussion online, on social media,
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Og det udløste en enorm diskussion online, på sociale medier,
11:41
which was largely dominated
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som i vid udstrækning var domineret
11:44
by people having fun with their misconceptions,
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af folk, der har det sjovt med deres misforståelser,
11:48
which is something that I couldn't have hoped for any better,
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hvilket er noget, jeg ikke har kunnet håbe på noget bedre
11:51
in some respects.
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på en måde.
11:52
I also liked the fact that people started sending it to politicians.
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Jeg kunne godt lide, at folk begyndte at sende det til politikerne.
11:55
How well do you know the area you claim to represent?
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Hvor godt kender du området, du hævder at repræsentere?
11:58
(Laughter)
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(Latter)
11:59
And then just to finish,
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Og så bare til afslutning,
12:01
going back to the two kinds of people,
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lad os gå tilbage til de to slags mennesker.
12:04
I thought it would be really interesting to see
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Jeg syntes det kunne være interessant at se,
12:06
how people who are good with numbers would do on this quiz.
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hvordan mennesker, der er gode til tal ville klare quizzen.
12:09
The national statistician of England and Wales, John Pullinger,
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Den nationale statistiker i England og Wales, John Pullinger,
12:12
you would expect he would be pretty good.
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skulle man tro ville klare sig ret godt.
12:15
He got 44 for his own area.
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Han fik 44 for sit eget område.
12:17
(Laughter)
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(Latter)
12:20
Jeremy Paxman -- admittedly, after a glass of wine -- 36.
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Jeremy Paxman -- ganske vist efter et glas vin -- 36.
12:25
Even worse.
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Endnu værre.
12:27
It just shows you that the numbers can inspire us all.
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Det viser bare, at tallene kan inspirere os alle.
12:30
They can surprise us all.
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De kan overraske os alle.
12:31
So very often, we talk about statistics
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Ofte taler vi om statistik,
12:33
as being the science of uncertainty.
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som værende videnskaben om usikkerhed.
12:35
My parting thought for today is:
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Mine afskedsord i dag er:
12:37
actually, statistics is the science of us.
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I virkeligheden er statistik videnskaben om os.
12:40
And that's why we should be fascinated by numbers.
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Og det er derfor, vi bør være fascineret af tal.
12:43
Thank you very much.
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Mange tak.
12:44
(Applause)
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(Bifald)
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