Peter Donnelly: How stats fool juries

243,473 views ・ 2007-01-12

TED


Mesedez, egin klik bikoitza beheko ingelesezko azpitituluetan bideoa erreproduzitzeko.

00:25
As other speakers have said, it's a rather daunting experience --
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Beste hizlariek esan duten moduan, nahiko esperientzia beldulgarria da -
00:27
a particularly daunting experience -- to be speaking in front of this audience.
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esperientzia bereziki beldulgarria da - entzuleria honen aurrean hitz egitea.
00:30
But unlike the other speakers, I'm not going to tell you about
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Baina besteek ez bezala, nik
00:33
the mysteries of the universe, or the wonders of evolution,
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unibertsoko misterioei edo eboluzioaren edertasunari
00:35
or the really clever, innovative ways people are attacking
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edo gure munduko desberdintasun handienei aurre egiteko
00:39
the major inequalities in our world.
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erabiltzen ari diren modu berritzaileei buruz hitz egingo dizuet.
00:41
Or even the challenges of nation-states in the modern global economy.
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Edo ekonomia global modernoan nazioek dituzten erronkei buruz.
00:46
My brief, as you've just heard, is to tell you about statistics --
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Nire lana, estatistikaz hitz egitea da --
00:50
and, to be more precise, to tell you some exciting things about statistics.
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hobe esanda, estatistikaren gauza liluragarriak kontatzea.
00:53
And that's --
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Eta hori...
00:54
(Laughter)
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(barreak)
00:55
-- that's rather more challenging
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hori nire aurrekoek egindakoa, eta
00:57
than all the speakers before me and all the ones coming after me.
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ondorendoek egingo dutena baino zailagoa da.
00:59
(Laughter)
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(barreak)
01:01
One of my senior colleagues told me, when I was a youngster in this profession,
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Lanbide honetan berria nintzenean, lankide batek esan zidan
01:06
rather proudly, that statisticians were people who liked figures
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estatistikariak zenbakiak maite zituzten, baina kontable izateko
01:10
but didn't have the personality skills to become accountants.
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pertsonalitaterik ez zuten pertsonak zirela.
01:13
(Laughter)
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(barreak)
01:15
And there's another in-joke among statisticians, and that's,
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Estatistikoen arteko beste txiste batek dio:
01:18
"How do you tell the introverted statistician from the extroverted statistician?"
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"Nola ezberdindu estatistikari introbertitu bat
01:21
To which the answer is,
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estatistikari extrobertitu batengandik?"
01:23
"The extroverted statistician's the one who looks at the other person's shoes."
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"Estatistikari extrobertitua beste pertsonaren zapatetara begiratzen duena da"
01:28
(Laughter)
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(barreak)
01:31
But I want to tell you something useful -- and here it is, so concentrate now.
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Baina gauza bat esan nahi dizuet - eta orain doa, beraz adi.
01:36
This evening, there's a reception in the University's Museum of Natural History.
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Gaur harrera bat dago Unibertsitateko Natur Zientzien Museoan.
01:39
And it's a wonderful setting, as I hope you'll find,
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Ikusiko duzuen bezala, toki zoragarri bat da,
01:41
and a great icon to the best of the Victorian tradition.
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tradizio victoriar hoberenaren ikono handi bat.
01:46
It's very unlikely -- in this special setting, and this collection of people --
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Nekez gertatuko da, toki berezi horretan, hainbeste jende artean,
01:51
but you might just find yourself talking to someone you'd rather wish that you weren't.
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baina gerta daiteke, nahi ez duzuen norbaitekin hitz egiten amaitzea.
01:54
So here's what you do.
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Hau da egin behar duzuena.
01:56
When they say to you, "What do you do?" -- you say, "I'm a statistician."
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"Zein da zure lanbidea?" galdetzean, "Estatistikaria naiz" erantzun.
02:00
(Laughter)
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(barreak)
02:01
Well, except they've been pre-warned now, and they'll know you're making it up.
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Beno, orain abisatuta zaudete, eta asmatzen ari zaretela jakingo du,
02:05
And then one of two things will happen.
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baina bestela, bi gauza pasa daitezke.
02:07
They'll either discover their long-lost cousin in the other corner of the room
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Gelaren beste puntan lehengusu bat aurkituko du,
02:09
and run over and talk to them.
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eta harekin hitz egitera joango da,
02:11
Or they'll suddenly become parched and/or hungry -- and often both --
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edo bapatean goseak eta egarriak ipiniko da -askotan biak-
02:14
and sprint off for a drink and some food.
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eta edateko eta jateko zerbaiten bila joango da.
02:16
And you'll be left in peace to talk to the person you really want to talk to.
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Eta zu lasai geratuko zara, benetan hitz egin nahi duzunarengana joateko.
02:20
It's one of the challenges in our profession to try and explain what we do.
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Gure lanbidearen erronketako bat egiten duguna azaltzea da.
02:23
We're not top on people's lists for dinner party guests and conversations and so on.
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Afari, hitzaldi eta horrelakoetara ez gaituzte gonbidatzen.
02:28
And it's something I've never really found a good way of doing.
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Sekula ez dut asmatu hori nola lortu.
02:30
But my wife -- who was then my girlfriend --
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Baina nire emazteak - orduan nire neskalagunak -
02:33
managed it much better than I've ever been able to.
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nik sekula lortu ez dudana lortu zuen.
02:36
Many years ago, when we first started going out, she was working for the BBC in Britain,
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Duela urte asko, elkarrekin hasi ginenean, berak BBCrako lan egiten zuen, Britainia Handian,
02:39
and I was, at that stage, working in America.
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eta ni une horretan Estatu Batuetan nengoen lanean.
02:41
I was coming back to visit her.
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Bera bisitatzera joan nintzen batean,
02:43
She told this to one of her colleagues, who said, "Well, what does your boyfriend do?"
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bere laneko batek "eta zure mutil lagunak zer egiten du?" galdetu zion
02:49
Sarah thought quite hard about the things I'd explained --
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Sarah-k nik azaldu nizkion gauzei buruz pentsatu,
02:51
and she concentrated, in those days, on listening.
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egun haietan entzuten arreta jarri zuen,
02:55
(Laughter)
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(barreak)
02:58
Don't tell her I said that.
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Ez esan halakorik esan dudanik.
03:00
And she was thinking about the work I did developing mathematical models
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eboluzioa eta genetika ulertzeko eredu matematikoak
03:04
for understanding evolution and modern genetics.
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garatzen burutu nuen lanean pentsatu zuen
03:07
So when her colleague said, "What does he do?"
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eta bere lankideak "zer egiten du?" galdetzean
03:10
She paused and said, "He models things."
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Sarah-k etenaldi bat egin eta esan zion "gauzak modelatzen ditu".
03:14
(Laughter)
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(barreak)
03:15
Well, her colleague suddenly got much more interested than I had any right to expect
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Bere lankidea, bapatean, espero zitekeena baina gehiago interesatu zen
03:19
and went on and said, "What does he model?"
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eta jarraitu zuen "zer modelatzen du?"
03:22
Well, Sarah thought a little bit more about my work and said, "Genes."
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Sarh-k nire lanean pixka bat gehiago pentsatu eta "geneak" esan zion
03:25
(Laughter)
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(barreak)
03:29
"He models genes."
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"geneak modelatzen ditu".
03:31
That is my first love, and that's what I'll tell you a little bit about.
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Hau da nire bizitzako amodioa, eta hortaz pixka bat hitz egingo dut.
03:35
What I want to do more generally is to get you thinking about
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Gure munduan zoriak eta probabilitateak
03:39
the place of uncertainty and randomness and chance in our world,
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duten lekuan pentsatzea nahi dut,
03:42
and how we react to that, and how well we do or don't think about it.
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eta horren aurrean nola jokatzen dugun.
03:47
So you've had a pretty easy time up till now --
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Orain arte nahiko erraza izan da,
03:49
a few laughs, and all that kind of thing -- in the talks to date.
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orain arteko hitzaldietan barre batzuk egin dituzue.
03:51
You've got to think, and I'm going to ask you some questions.
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Orain pentsatu egin behar duzue, galderak egingo dizkizuet.
03:54
So here's the scene for the first question I'm going to ask you.
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Beraz, hau da lehen galderaren eszenatokia:
03:56
Can you imagine tossing a coin successively?
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Imaginatu zaitezte txanpon bat behin eta berriz airera botatzen
03:59
And for some reason -- which shall remain rather vague --
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eta arrazoi batengatik, ez dugu zehaztuko zergatik,
04:02
we're interested in a particular pattern.
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patroi zehatz batetan interesa dugu.
04:04
Here's one -- a head, followed by a tail, followed by a tail.
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Esaterako: aurpegia, gurutzea, gurutzea.
04:07
So suppose we toss a coin repeatedly.
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Beraz txanpon bat behin eta berriz jaurtitzen dugu.
04:10
Then the pattern, head-tail-tail, that we've suddenly become fixated with happens here.
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Eta... aurpegia-gurutzea-gurutzea, gure patroia agertzen da.
04:15
And you can count: one, two, three, four, five, six, seven, eight, nine, 10 --
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Kontatu eta bat, bi, hiru, lau, bost, sei, zazpi, zortzi, bederatzi, hamar,
04:19
it happens after the 10th toss.
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hamargarren jaurtiketaren ostean gertatu da.
04:21
So you might think there are more interesting things to do, but humor me for the moment.
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Gauza interesgarriagoak egin daitezkeela pentsatuko duzue, baina jarrai iezaidazue une batez.
04:24
Imagine this half of the audience each get out coins, and they toss them
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Imajinatu entzuleriaren alde honetako bakoitzak txanpon bat atera eta
04:28
until they first see the pattern head-tail-tail.
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aurpegi-gurutze-gurutze patroia atera arte jaurtitzen duela.
04:31
The first time they do it, maybe it happens after the 10th toss, as here.
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Egiten duten lehen aldian agian hamargarren jaurtiketan gertatzen da.
04:33
The second time, maybe it's after the fourth toss.
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Bigarrenean agian laugarrenean.
04:35
The next time, after the 15th toss.
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Eta ondoren hamabosgarrenean.
04:37
So you do that lots and lots of times, and you average those numbers.
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Beraz txanpona askotan botatzen duzue, eta zenbaki horien bataz bestekoa kalkulatzen duzue.
04:40
That's what I want this side to think about.
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Horretan pentsatzea nahi dut.
04:43
The other half of the audience doesn't like head-tail-tail --
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Entzuleriaren beste aldeak ez du aurpegi-gurutze-gurutze nahi,
04:45
they think, for deep cultural reasons, that's boring --
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arrazoi kulturalengatik aspergarria dela uste dute,
04:48
and they're much more interested in a different pattern -- head-tail-head.
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eta gehiago gustatzen zaie aurpegi-gurutze-aurpegi patroia.
04:51
So, on this side, you get out your coins, and you toss and toss and toss.
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Beraz hemen ere, txanponak atera eta jaurti eta jaurti hasten dira.
04:54
And you count the number of times until the pattern head-tail-head appears
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Jaurtiketak kontatzen dituzte aurpegi-gurutze-aurpegi patroia atera arte.
04:57
and you average them. OK?
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Eta bataz bestekoa ateratzen dute, ados?
05:00
So on this side, you've got a number --
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Beraz alde honetan zenbaki bat dute,
05:02
you've done it lots of times, so you get it accurately --
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askotan egin dute beraz zenbakia zehatza da,
05:04
which is the average number of tosses until head-tail-tail.
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aurpegi-gurutze-gurutze lortu arte behar diren jaurtiketen bataz bestekoa da.
05:07
On this side, you've got a number -- the average number of tosses until head-tail-head.
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Hemen beste zenbaki bat dute, aurpegi-gurutze-aurpegi lortu harteko bataz besteko jaurtiketa kopurua.
05:11
So here's a deep mathematical fact --
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Hemen gauza matematiko sakon bat topatuko dugu,
05:13
if you've got two numbers, one of three things must be true.
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bi zenbaki badituzu, hiru gauza gerta daitezke.
05:16
Either they're the same, or this one's bigger than this one,
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Edo berdinak dira, bat bestea baino handiagoa da,
05:19
or this one's bigger than that one.
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edo alderantziz.
05:20
So what's going on here?
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Beraz, hemen zer gertatzen da?
05:23
So you've all got to think about this, and you've all got to vote --
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Guztiok pentsatu behar duzue, eta guztiok erantzun behar duzue,
05:25
and we're not moving on.
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bestela ez dugu jarraituko.
05:26
And I don't want to end up in the two-minute silence
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Eta ez dut bi minutuko isilunearekin amaitu nahi
05:28
to give you more time to think about it, until everyone's expressed a view. OK.
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guztioi erantzuteko denbora emateko.
05:32
So what you want to do is compare the average number of tosses until we first see
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aurpegi-gurutze-aurpegi patroia lortu arte behar ditugun bataz besteko jaurtiketa kopurua
05:36
head-tail-head with the average number of tosses until we first see head-tail-tail.
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aurpegi-gurutze-gurutze patroia lortu arte behar ditugunekin konparatu behar duzue.
05:41
Who thinks that A is true --
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Zeintzuk uste dute A egia dela,
05:43
that, on average, it'll take longer to see head-tail-head than head-tail-tail?
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bataz beste denbora gehiago beharko dela aurpegi-gurutze-aurpegi lortzeko aurpegi-gurutze-gurutze baino?
05:47
Who thinks that B is true -- that on average, they're the same?
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Nork uste du B egia dela, batez bestekoa berdina dela?
05:51
Who thinks that C is true -- that, on average, it'll take less time
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Nork uste du C egia dela, bataz beste denbora gutxiago beharko dela
05:53
to see head-tail-head than head-tail-tail?
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aurpegi-gurutze-gurutze lortzeko aurpegi-gurutze-gurutze lortzeko baino?
05:57
OK, who hasn't voted yet? Because that's really naughty -- I said you had to.
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Ados, nor falta da erantzuteko? Hori bihurrikeria bat da, erantzun egin behar zela esan dut.
06:00
(Laughter)
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(barreak)
06:02
OK. So most people think B is true.
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Ados, gehiengoak uste du B dela egia.
06:05
And you might be relieved to know even rather distinguished mathematicians think that.
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Eta lasai, matematikari ezagun batzuek ere hori pentsatzen dute eta.
06:08
It's not. A is true here.
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Baina ez, A da egia.
06:12
It takes longer, on average.
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Bataz beste denbora gehiago behar du.
06:14
In fact, the average number of tosses till head-tail-head is 10
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Izatez, aurpegi-gurutze-aurpegi lortzeko bataz besteko jaurtiketa kopurua 10 da
06:16
and the average number of tosses until head-tail-tail is eight.
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eta aurpegi-gurutze-gurutze lortzeko 8.
06:21
How could that be?
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Nola da posible hau?
06:24
Anything different about the two patterns?
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Patroietan desberdintasunen bat dago?
06:30
There is. Head-tail-head overlaps itself.
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Bai. aurpegi-gurutze-aurpegi gainjarri egiten da.
06:35
If you went head-tail-head-tail-head, you can cunningly get two occurrences
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Aurpegi-gurutze-aurpegi bilatzen baduzu, zortearekin patroiaren
06:39
of the pattern in only five tosses.
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bi sekuentzia lor ditzakezu bost jaurtiketatan.
06:42
You can't do that with head-tail-tail.
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Hori ezin duzu aurpegi-gurutze-gurutze patroiarekin lortu.
06:44
That turns out to be important.
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Eta hori garrantzitsua da.
06:46
There are two ways of thinking about this.
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Bi modu daude honen inguruan pentsatzeko.
06:48
I'll give you one of them.
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Bat erakutsiko dizuet.
06:50
So imagine -- let's suppose we're doing it.
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Imajinatu, demagun egiten ari garela.
06:52
On this side -- remember, you're excited about head-tail-tail;
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Alde honetan, gogoratu aurpegi-gurutze-gurutze
06:54
you're excited about head-tail-head.
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eta zuek aurpegi-gurutze-aurpegi.
06:56
We start tossing a coin, and we get a head --
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Txanpona jaurti eta aurpegia ateratzen da,
06:59
and you start sitting on the edge of your seat
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zuen eserlekuaren iskinan zaudete, zerbait handia
07:00
because something great and wonderful, or awesome, might be about to happen.
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ederra edo sinesgaitza gerta daitekeelako.
07:05
The next toss is a tail -- you get really excited.
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Bigarren jaurtiketa gurutzea ateratzen da, benetan gustora zaudete.
07:07
The champagne's on ice just next to you; you've got the glasses chilled to celebrate.
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Txanpaina izotzetan sartuta dago, eta kopak ospatzeko prest daude.
07:11
You're waiting with bated breath for the final toss.
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Bihotza abiada bizian duzue azken jaurtiketan.
07:13
And if it comes down a head, that's great.
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Aurpegia ateratzen bada izugarria izango da.
07:15
You're done, and you celebrate.
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Lortu eta ospatu egingo duzue.
07:17
If it's a tail -- well, rather disappointedly, you put the glasses away
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Gurutzea ateratzen bada, beno etsigarria da, kopak gorde
07:19
and put the champagne back.
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eta txanpaina bere lekuan uzten duzue.
07:21
And you keep tossing, to wait for the next head, to get excited.
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Eta jaurtitzen jarraitzen duzue, hurrengo aurpegiaren zain.
07:25
On this side, there's a different experience.
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Alde honetan esperientzia ezberdina da.
07:27
It's the same for the first two parts of the sequence.
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Berdina da sekuentziaren lehen bi zatitan.
07:30
You're a little bit excited with the first head --
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Pixka bat gustora zaudete lehen aurpegiarekin,
07:32
you get rather more excited with the next tail.
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eta oso gustura hurrengo gurutzearekin.
07:34
Then you toss the coin.
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Orduan txanpona jaurtitzen duzue.
07:36
If it's a tail, you crack open the champagne.
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Gurutzea bada txanpaina irekitzen duzue.
07:39
If it's a head you're disappointed,
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Aurpegia bada, etsigarria da,
07:41
but you're still a third of the way to your pattern again.
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baina zuen patroiaren herena badaukazue jada.
07:44
And that's an informal way of presenting it -- that's why there's a difference.
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Eta hori aurkezteko modu ez formala litzateke, baina hori da desberdintasuna.
07:48
Another way of thinking about it --
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Ikusteko beste modu bat,
07:50
if we tossed a coin eight million times,
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txanpona 8 milioi aldiz botatzen badugu,
07:52
then we'd expect a million head-tail-heads
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milioi bat aurpegi-gurutze-aurpegi esperoko genituzke
07:54
and a million head-tail-tails -- but the head-tail-heads could occur in clumps.
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eta milioi bat aurpegi-gurutze-gurutze, baina aurpegi-gurutze-gurutzeak multzoka ager daitezke.
08:01
So if you want to put a million things down amongst eight million positions
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Beraz, milioi bat gauza zortzi milioi posiziotan ipintzen badituzue
08:03
and you can have some of them overlapping, the clumps will be further apart.
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eta gainjartze apur bat onartzen baduzue, multzoak elkarrengandik hurrunago egongo dira.
08:08
It's another way of getting the intuition.
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Hau ulertzeko beste modu bat da.
08:10
What's the point I want to make?
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Zer esan nahi dut?
08:12
It's a very, very simple example, an easily stated question in probability,
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Oso adibide sinplea da, probabilitate galdera xume bat,
08:16
which every -- you're in good company -- everybody gets wrong.
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eta guztiek, eta lagunarte onean zaudete, gaizki erantzuten dute.
08:19
This is my little diversion into my real passion, which is genetics.
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Hau da nire pasioarekin, genetikarekin, lotuta nire dibertimentu txikia.
08:23
There's a connection between head-tail-heads and head-tail-tails in genetics,
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Bada erlazio bat, aurpegi-gurutze-aurpegi eta aurpegi-gurutze-gurutzeren artean.
08:26
and it's the following.
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Eta hau da.
08:29
When you toss a coin, you get a sequence of heads and tails.
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Txanpona jaurtitzean, aurpegi eta gurutzeen sekuentzia bat lortzen duzu.
08:32
When you look at DNA, there's a sequence of not two things -- heads and tails --
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DNA ikustean sekuentzia bat dago, baina ez bi gauzena soilik,
08:35
but four letters -- As, Gs, Cs and Ts.
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lau hizkiena baizik, A, G, C eta T.
08:38
And there are little chemical scissors, called restriction enzymes
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Eta guraize kimiko txiki batzuk daude, errestrikzio entzimak,
08:41
which cut DNA whenever they see particular patterns.
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patroi jakin bat ikustean DNA mozten dutenak.
08:43
And they're an enormously useful tool in modern molecular biology.
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Biologia molekular modernoan oso erabilgarriak diren tresna bat dira.
08:48
And instead of asking the question, "How long until I see a head-tail-head?" --
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Eta "aurpegi-gurutze-aurpegi lortzeko zenbat jaurtiketa behar dira?" galdetu beharrean,
08:51
you can ask, "How big will the chunks be when I use a restriction enzyme
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"zein tamaina izango dute adibidez G-A-A-G patroia ikustean mozten duten
08:54
which cuts whenever it sees G-A-A-G, for example?
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errestrikzio entzimak erabiltzen baditut?" galdetu dezakegu.
08:58
How long will those chunks be?"
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Ze tamainako pusketak izango ditut?
09:00
That's a rather trivial connection between probability and genetics.
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Hau probabilitatearen eta genetikaren arteko azaleko lotura bat da.
09:05
There's a much deeper connection, which I don't have time to go into
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Lotura sakonago bat ere badago, baina ez daukat hura aztertzeko denborarik,
09:08
and that is that modern genetics is a really exciting area of science.
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genetika modernoa zientziaren esparru oso kitzikagarri bat baita benetan.
09:11
And we'll hear some talks later in the conference specifically about that.
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Eta beranduago honen inguruko hitzaldiak entzungo ditugu.
09:15
But it turns out that unlocking the secrets in the information generated by modern
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Baina teknologia experimental modernoek sortzen duten informazioaren sekretu batzuk jakiteko
09:19
experimental technologies, a key part of that has to do with fairly sophisticated --
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gakoetako batzuk teknika sofistikatuetatik etortzen dira,
09:24
you'll be relieved to know that I do something useful in my day job,
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jakin ezazute nire eguneroko lanean zerbait erabilgarria egiten dudala,
09:27
rather more sophisticated than the head-tail-head story --
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aurpegi-gurutze-gurutzeren istorioa baino sofistikatuagoa,
09:29
but quite sophisticated computer modelings and mathematical modelings
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eredu konputazional eta matematiko nahiko konplexuekin,
09:33
and modern statistical techniques.
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eta teknika estatistiko modernoekin.
09:35
And I will give you two little snippets -- two examples --
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Nire taldeak Oxford-en daramatzan bi proiekturen
09:38
of projects we're involved in in my group in Oxford,
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zati txiki batzuk, adibide batzuk, azalduko ditut
09:41
both of which I think are rather exciting.
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interesgarriak direla uste dut eta.
09:43
You know about the Human Genome Project.
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Giza genomaren proiektuari buruz entzun duzue.
09:45
That was a project which aimed to read one copy of the human genome.
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Giza genomaren kopia bat deszifratzea helburu zuen proiektu bat zen.
09:51
The natural thing to do after you've done that --
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Hau lortu ostean, noski, beste proiektu bat doa,
09:53
and that's what this project, the International HapMap Project,
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HapMap nazioarteko proiektua,
09:55
which is a collaboration between labs in five or six different countries.
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5 edo 6 herrialdeetako laborategiek kolaborazioan garatzen duten proiektua.
10:00
Think of the Human Genome Project as learning what we've got in common,
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Giza genomaren proiektuak zer dugun amankomunean aurkitu nahi du,
10:04
and the HapMap Project is trying to understand
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HapMap proiektuak, pertsona desberdinen arteko
10:06
where there are differences between different people.
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diferentziak non dauden ulertu nahi du.
10:08
Why do we care about that?
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Zergatik axola digu?
10:10
Well, there are lots of reasons.
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Beno, arrazoi asko daude.
10:12
The most pressing one is that we want to understand how some differences
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Premiazkoena, zera ulertzea da, diferentzia batzuk nola egiten duten
10:16
make some people susceptible to one disease -- type-2 diabetes, for example --
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batzuk gaixotasun batzuk izateko joera izatea, 2 motako diabetesa izatera adibidez,
10:20
and other differences make people more susceptible to heart disease,
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edo gaixotasun kardiakoak izateko joera izatea,
10:25
or stroke, or autism and so on.
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edo aplopejiak, autismoa...
10:27
That's one big project.
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Hori proiektu handi bat da.
10:29
There's a second big project,
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Badago beste proiektu handi bat,
10:31
recently funded by the Wellcome Trust in this country,
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Wellcome Trust-ek berriki finantziatua,
10:33
involving very large studies --
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genetika ulertzeko, ikerketa handiak, milaka pertsona
10:35
thousands of individuals, with each of eight different diseases,
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8 gaixotasun desberdin, 1 eta 2 motako diabetesa,
10:38
common diseases like type-1 and type-2 diabetes, and coronary heart disease,
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gaixotasun koronarioak eta nahaste bipolarra adibidez,
10:42
bipolar disease and so on -- to try and understand the genetics.
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barne hartzen dituena.
10:46
To try and understand what it is about genetic differences that causes the diseases.
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Ze desberdintasun genetikok sortzen dituzten gaixotasunak eta zergatik ulertzeko.
10:49
Why do we want to do that?
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Zergatik egin nahi dugu?
10:51
Because we understand very little about most human diseases.
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Giza gaixotasun gehienen inguruan ezer gutxi dakigulako.
10:54
We don't know what causes them.
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Ez dakigu zerk sortzen dituen.
10:56
And if we can get in at the bottom and understand the genetics,
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Eta oinarrira iritsi eta genetika ulertu ahalko bagenu,
10:58
we'll have a window on the way the disease works,
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gaixotasunak nola jokatzen duen jakingo genukeelako.
11:01
and a whole new way about thinking about disease therapies
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Eta terapiak eta tratamentu prebentiboak ikusteko
11:03
and preventative treatment and so on.
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modu berri bat izango genukeelako.
11:06
So that's, as I said, the little diversion on my main love.
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Beraz hori da, nire benetako maitasunaren barnean daukadan dibertimentu txikia.
11:09
Back to some of the more mundane issues of thinking about uncertainty.
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Ziurtasunik ezaren inguruan egiten ditugun arrazoiketetara itzuliz,
11:14
Here's another quiz for you --
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hona zuentzat beste askmakizun bat:
11:16
now suppose we've got a test for a disease
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Imajinatu gaixotasun bat detektatzeko proba bat daukagula.
11:18
which isn't infallible, but it's pretty good.
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Ez da hutsezina, baino nahiko ona da.
11:20
It gets it right 99 percent of the time.
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kasuen %99an asmatzen du.
11:23
And I take one of you, or I take someone off the street,
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Eta zuetako bat, edo kaleko norbait hartzen dut, zoriz,
11:26
and I test them for the disease in question.
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eta proba hori egiten diot.
11:28
Let's suppose there's a test for HIV -- the virus that causes AIDS --
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Demagun GIB-rako proba dela, IHESA sortzen duen birusa,
11:32
and the test says the person has the disease.
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eta probak pertsona gaixo dagoela esaten duela.
11:35
What's the chance that they do?
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Zein da gaixotasuna izateko probabilitatea?
11:38
The test gets it right 99 percent of the time.
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Probak kasuen %99an asmatzen du.
11:40
So a natural answer is 99 percent.
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Beraz erantzun azkarra %99 da.
11:44
Who likes that answer?
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Nori gustatzen zaio erantzun hori?
11:46
Come on -- everyone's got to get involved.
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Benga, guztiok parte hartu behar dugu.
11:47
Don't think you don't trust me anymore.
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Ez pentsatu jada ezin duzuenik nigan konfidantza izan.
11:49
(Laughter)
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(barreak)
11:50
Well, you're right to be a bit skeptical, because that's not the answer.
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Ongi dago pixka bat eszeptiko egotea, hori ez baita erantzun zuzena.
11:53
That's what you might think.
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Hori pentsa dezakezue.
11:55
It's not the answer, and it's not because it's only part of the story.
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Baina ez da erantzun zuzena, historiaren zati bakarra baita.
11:58
It actually depends on how common or how rare the disease is.
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Berez, gaixotasunaren hedapenaren araberakoa izango da probabilitatea.
12:01
So let me try and illustrate that.
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Utzi iezaidazue erakusten.
12:03
Here's a little caricature of a million individuals.
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Milioi bat pertsonaz osatutako lagina dugu.
12:07
So let's think about a disease that affects --
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Pentsa dezagun gaixotasun bitxi batean,
12:10
it's pretty rare, it affects one person in 10,000.
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10.000tik bati eragiten dion batean.
12:12
Amongst these million individuals, most of them are healthy
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Milioi horretan, gehienak osasuntsu daude,
12:15
and some of them will have the disease.
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eta batzuk gaixotasun hori izango dute.
12:17
And in fact, if this is the prevalence of the disease,
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Berez, hori bada gaixotasunaren maiztasuna,
12:20
about 100 will have the disease and the rest won't.
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gutxi gora behera 100 gaixo izango genituzke.
12:23
So now suppose we test them all.
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Demagun proba guztiei egiten diegula.
12:25
What happens?
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Zer gertatzen da?
12:27
Well, amongst the 100 who do have the disease,
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Gaixotasuna duten 100 pertsonetan,
12:29
the test will get it right 99 percent of the time, and 99 will test positive.
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Frogak %99tan asmatuko du, eta 99 gaixo detektatuko ditu.
12:34
Amongst all these other people who don't have the disease,
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Gaixotasuna ez duten pertsonetan,
12:36
the test will get it right 99 percent of the time.
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frogak %99tan asmatuko du.
12:39
It'll only get it wrong one percent of the time.
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Kasuen %1ean erratuko da.
12:41
But there are so many of them that there'll be an enormous number of false positives.
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Baina hainbeste osasuntsu daude, positibo faltsu asko egongo direla.
12:45
Put that another way --
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Beste era batera esanda,
12:47
of all of them who test positive -- so here they are, the individuals involved --
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frogak gaixo dagoela esaten duen horietan,
12:52
less than one in 100 actually have the disease.
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ehunetik batek baino gutxiagok izango du gaixotasuna benetan.
12:57
So even though we think the test is accurate, the important part of the story is
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Beraz froga zehatza dela uste badugu ere, garrantzitsua zera da,
13:01
there's another bit of information we need.
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beharrezko den beste informazio bat falta dela.
13:04
Here's the key intuition.
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Hau da ideia garrantzitsua.
13:07
What we have to do, once we know the test is positive,
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Froga positiboa dela jakin ostean egin behar duguna zera da,
13:10
is to weigh up the plausibility, or the likelihood, of two competing explanations.
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lehian dauden bi azalpenen probabilitatea aztertu.
13:16
Each of those explanations has a likely bit and an unlikely bit.
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Azalpen bakoitzak zati probable eta zati inprobable bat ditu.
13:19
One explanation is that the person doesn't have the disease --
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Azalpen bat pertsona gaixo ez egotea da,
13:22
that's overwhelmingly likely, if you pick someone at random --
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hau oso probablea da, norbait zoriz hautatzen baduzu,
13:25
but the test gets it wrong, which is unlikely.
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baina froga erratu egiten da, eta hau inprobablea da.
13:29
The other explanation is that the person does have the disease -- that's unlikely --
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Beste azalpena, pertsona gaixo egotea da, inprobablea dena,
13:32
but the test gets it right, which is likely.
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eta froga zuzen egotea, probablea dena.
13:35
And the number we end up with --
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Eta topatu nahi dugun zenbaki horrek,
13:37
that number which is a little bit less than one in 100 --
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ehuneko bat baino txikiagoa den horrek,
13:40
is to do with how likely one of those explanations is relative to the other.
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azalpen batek bestearekiko duen probabilitatearekin du zerikusia.
13:46
Each of them taken together is unlikely.
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Multzo bakoitza banaka inprobablea da.
13:49
Here's a more topical example of exactly the same thing.
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Hona hemen gai bera jorratzen duen adibide berriago bat.
13:52
Those of you in Britain will know about what's become rather a celebrated case
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Britainia Handikoak zateretenak jakingo duzue, kasua nahiko famatua egin baita.
13:56
of a woman called Sally Clark, who had two babies who died suddenly.
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Sally Clark izeneko emakume batek bapatean hil ziren bi haur izan zituen.
14:01
And initially, it was thought that they died of what's known informally as "cot death,"
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Hasieran informalki "sehaskako heriotza" deritzonarengatik,
14:05
and more formally as "Sudden Infant Death Syndrome."
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formalki, haurren bapateko heriotzagatik hil zirela uste zen.
14:08
For various reasons, she was later charged with murder.
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Hainbat arrazoirengatik, erahilketa leporatu zitzaion.
14:10
And at the trial, her trial, a very distinguished pediatrician gave evidence
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Bere epaiketan, pediatra oso ezagun batek ebidentzia bezala esan zuen
14:14
that the chance of two cot deaths, innocent deaths, in a family like hers --
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bi horrelako heriotza izateko probabilitatea, berea bezalako familia batean,
14:19
which was professional and non-smoking -- was one in 73 million.
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profesionala eta ez erretzailea, 73 milioiren artean batekoa zela.
14:26
To cut a long story short, she was convicted at the time.
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Laburtuz kondenatu egin zuten.
14:29
Later, and fairly recently, acquitted on appeal -- in fact, on the second appeal.
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Geroago, bere bigarren apelazioan, errugabea zela erabaki zen.
14:34
And just to set it in context, you can imagine how awful it is for someone
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Pentsa ezazue zer izan daitekeen norbaitentzat
14:38
to have lost one child, and then two, if they're innocent,
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haur bat galtzea, gero bestea galtzea, eta errugabea izanik
14:41
to be convicted of murdering them.
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erahilketa leporatuta kondenatua izatea.
14:43
To be put through the stress of the trial, convicted of murdering them --
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Epaiketaren eta seme-alabak galtzearen estresa jasatea
14:45
and to spend time in a women's prison, where all the other prisoners
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eta emakumezkoen gartzelan denbora pasatzea, beste preso guztiek
14:48
think you killed your children -- is a really awful thing to happen to someone.
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zure seme-alabak hil zenituela uste duten bitartean. Horrez izugarria izan behar du.
14:53
And it happened in large part here because the expert got the statistics
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Eta gertatu egin zen. Adituak estatistikak ereabiltzerakoan
14:58
horribly wrong, in two different ways.
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bi akats egin zituelako.
15:01
So where did he get the one in 73 million number?
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Beraz, nondik atera zuen "73 milioitik bat" zenbakia?
15:05
He looked at some research, which said the chance of one cot death in a family
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Bapateko heriotzaren estatistika batzuk kontsultatu zituen, eta
15:08
like Sally Clark's is about one in 8,500.
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Sally Clark-ena bezelako familia batean hori gertatzeko probabilitatea 8500etik batekoa zela ikusi zuen.
15:13
So he said, "I'll assume that if you have one cot death in a family,
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Gero pentsatu zuen "familian horrelako heriotza bat izateak
15:17
the chance of a second child dying from cot death aren't changed."
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ez du beste bat izateko probabilitatea aldatuko".
15:21
So that's what statisticians would call an assumption of independence.
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Horri estatistikoek independentziaren aurretikoa deitzen diote.
15:24
It's like saying, "If you toss a coin and get a head the first time,
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"Txanpon bat airera bota eta aurpegia ateratzeak,
15:26
that won't affect the chance of getting a head the second time."
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ez du bigarren aldiz aurpegia ateratzeko probabilitatea aldatuko" esatea bezala da.
15:29
So if you toss a coin twice, the chance of getting a head twice are a half --
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Beraz txanpon bat airera bi aldiz botatzen baduzu, bi aldiz aurpegia ateratzeko probabilitatea erdia,
15:34
that's the chance the first time -- times a half -- the chance a second time.
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lehen aldiz aurpegia ateratzeko probabilitatea, bider erdia, bigarreneko probabilitatea, da.
15:37
So he said, "Here,
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Beraz esan zuen, "demagun
15:39
I'll assume that these events are independent.
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bi gertaerak independenteak direla pentsatuko dut,
15:43
When you multiply 8,500 together twice,
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8500 bider 8500,
15:45
you get about 73 million."
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73 milioi inguru da".
15:47
And none of this was stated to the court as an assumption
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Eta guzti hau ez zitzaion zinpekoei suposizio gisa,
15:49
or presented to the jury that way.
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edo modu honetara azaldu.
15:52
Unfortunately here -- and, really, regrettably --
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Zoritxarrez, lehenik eta behin
15:55
first of all, in a situation like this you'd have to verify it empirically.
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egoera horretan enpirikoki egiaztatu beharko litzateke.
15:59
And secondly, it's palpably false.
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Eta bigarrenik, erabat faltsua da.
16:02
There are lots and lots of things that we don't know about sudden infant deaths.
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Gauza asko dira bapateko haurren heriotzari buruz ez dakizkigunak.
16:07
It might well be that there are environmental factors that we're not aware of,
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Posible da ezagutzen ez ditugun faktore anbientalak egotea,
16:10
and it's pretty likely to be the case that there are
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eta oso litekeena da ere, ezagutzen
16:12
genetic factors we're not aware of.
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ez ditugun faktore genetikoak egotea.
16:14
So if a family suffers from one cot death, you'd put them in a high-risk group.
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Beraz, familia batek horrelako heriotza jasaten badu, arrisku altuko taldean sartuko zenuke.
16:17
They've probably got these environmental risk factors
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Ziurrenik, ezagutzen ez ditugun arrisku faktore
16:19
and/or genetic risk factors we don't know about.
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anbiental eta genetikoak izango dituzte.
16:22
And to argue, then, that the chance of a second death is as if you didn't know
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Bigarren heriotzaren probabilitatea, informazio hori ezagutuko ez bazenukeenaren
16:25
that information is really silly.
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berdina izango dela argudiatzea benetan inozoa da.
16:28
It's worse than silly -- it's really bad science.
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Inozoa baino okerrago, benetan zientzia txarra da.
16:32
Nonetheless, that's how it was presented, and at trial nobody even argued it.
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Hala ere, hala aurkeztu zen, eta epaiketan inork ez zuen eztabaidatu.
16:37
That's the first problem.
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Hori da lehen arazoa.
16:39
The second problem is, what does the number of one in 73 million mean?
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Bigarren arazoa zera da, zer esan nahi du 73 miliotik batek?
16:43
So after Sally Clark was convicted --
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Beraz Sally Clark kondenatua izan ostean,
16:45
you can imagine, it made rather a splash in the press --
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imajina dezakezue prentsan izan zuen oihartzuna,
16:49
one of the journalists from one of Britain's more reputable newspapers wrote that
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Britainia Handiko egunkari errespatuenetako kazetari batek
16:56
what the expert had said was,
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adituak zera esan zuela idatzi zuen:
16:58
"The chance that she was innocent was one in 73 million."
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"Errugabea izateko aukera 73 miliotik batekoa zela"
17:03
Now, that's a logical error.
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Akats logiko izan zen
17:05
It's exactly the same logical error as the logical error of thinking that
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%99ko zehaztasuna duen gaixotasunaren froga eta gero
17:08
after the disease test, which is 99 percent accurate,
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gaixotasuna izateko aukera %99koa dela pentsatzearen
17:10
the chance of having the disease is 99 percent.
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errore bera.
17:14
In the disease example, we had to bear in mind two things,
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Gaixotasunaren adibidean bi gauza izan behar genituen kontuan,
17:18
one of which was the possibility that the test got it right or not.
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bat froga erratu zitekeela, eta bestea
17:22
And the other one was the chance, a priori, that the person had the disease or not.
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a priori, pertsonak gaixo egoteko edo ez egoteko zuen probabilitatea.
17:26
It's exactly the same in this context.
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Testuinguru honetan gauza bera gertatzen da.
17:29
There are two things involved -- two parts to the explanation.
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Bi gauza daude, azalpenaren bi zati.
17:33
We want to know how likely, or relatively how likely, two different explanations are.
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Bi azalpenek duten probabilitatea jakin nahi dugu.
17:37
One of them is that Sally Clark was innocent --
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Bat Sally Clark errugabea dela,
17:40
which is, a priori, overwhelmingly likely --
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a priori oso posible dena,
17:42
most mothers don't kill their children.
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ama gehienek ez dituzte beren seme-alabak hiltzen.
17:45
And the second part of the explanation
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Eta azalpenaren bigarren zatia
17:47
is that she suffered an incredibly unlikely event.
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oso inprobablea zen zerbait pasa zela.
17:50
Not as unlikely as one in 73 million, but nonetheless rather unlikely.
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Ez 73 miliotik behin bezain inprobablea, baina inprobablea hala ere.
17:54
The other explanation is that she was guilty.
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Beste azalpena erruduna zela da.
17:56
Now, we probably think a priori that's unlikely.
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A priori inprobablea dela pentsa dezakegu.
17:58
And we certainly should think in the context of a criminal trial
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Eta horrela pentsatu beharko genuke epaiketa kriminal baten testuinguruan,
18:01
that that's unlikely, because of the presumption of innocence.
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inprobablea dela, inozentziaren aurretikoari esker.
18:04
And then if she were trying to kill the children, she succeeded.
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Beraz, seme-alabak hil nahi bazituen, lortu zuen.
18:08
So the chance that she's innocent isn't one in 73 million.
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Beraz errugabea izateko aukera ez da bat 73 miliotik.
18:12
We don't know what it is.
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Ez dakigu zenbatekoa den.
18:14
It has to do with weighing up the strength of the other evidence against her
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Bere aurkako ebidentzia eta ebidentzia
18:18
and the statistical evidence.
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estatistikoa aztertu behar dira.
18:20
We know the children died.
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Badakigu haurrak hil zirela.
18:22
What matters is how likely or unlikely, relative to each other,
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Beraz jakin behar dena bi azalpenen
18:26
the two explanations are.
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probabilitate erlatiboa da.
18:28
And they're both implausible.
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Biak sinesgaitzak dira.
18:31
There's a situation where errors in statistics had really profound
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Estatistikako akatsak ondorio lazgarriak izan zituzten
18:35
and really unfortunate consequences.
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egoeretako bat da hau.
18:38
In fact, there are two other women who were convicted on the basis of the
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Izatez, beste bi emakume ere kondenatuak izan ziren
18:40
evidence of this pediatrician, who have subsequently been released on appeal.
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pediatra honen ebidentziagatik, eta gero aske geratu dira, apelatu ere egin gabe.
18:44
Many cases were reviewed.
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Kasu asko errebisatu ziren.
18:46
And it's particularly topical because he's currently facing a disrepute charge
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Eta orain Britainia Handiko Kontseilu Mediku Orokorrean
18:50
at Britain's General Medical Council.
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ospea galdu du.
18:53
So just to conclude -- what are the take-home messages from this?
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Beraz, amaitzeko, zein da guzti honen mezua?
18:57
Well, we know that randomness and uncertainty and chance
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Badakigu zoria, probabilitatea eta ziurtasunik eza
19:01
are very much a part of our everyday life.
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gure bizitzako zati direla.
19:04
It's also true -- and, although, you, as a collective, are very special in many ways,
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Egia da ere, nahiz eta zuek oso publiko berezia izan,
19:09
you're completely typical in not getting the examples I gave right.
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oso tipikoa dela jarri ditudan adibide horiek ez asmatzea.
19:13
It's very well documented that people get things wrong.
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Oso ongi dokumentatuta dago jendea gauza hauetan erratu egiten dela.
19:16
They make errors of logic in reasoning with uncertainty.
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Logikako akatsak egiten dira ziurtasunik ezaren inguruan arrazoitzean.
19:20
We can cope with the subtleties of language brilliantly --
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Hizkuntzaren txikikeriekin oso ongilan egin dezakegu,
19:22
and there are interesting evolutionary questions about how we got here.
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eta hori nola lortu dugunaren inguruan oso galdera interesgarriak daude.
19:25
We are not good at reasoning with uncertainty.
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Baina ez gara onak ziurtasunik ezaren inguruan arrazoitzen.
19:28
That's an issue in our everyday lives.
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Hori gure eguneroko bizitzan arazo bat da.
19:30
As you've heard from many of the talks, statistics underpins an enormous amount
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Hitzaldi askotan entzun duzuen bezala, estatistika
19:33
of research in science -- in social science, in medicine
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ikerketa zientifiko askoren, gizarte zientzietan, medikuntzan...
19:36
and indeed, quite a lot of industry.
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eta industriaren zati handi baten oinbarrian dago.
19:38
All of quality control, which has had a major impact on industrial processing,
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Industriaren prozesuan inpaktu handia duen kalitate kontrol hori guztia,
19:42
is underpinned by statistics.
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estatistikan oinarritzen da.
19:44
It's something we're bad at doing.
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Gaizki egiten dugun zerbait da.
19:46
At the very least, we should recognize that, and we tend not to.
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Gutxienez onartu egin beharko genuke, baina ez onartzeko joera dugu.
19:49
To go back to the legal context, at the Sally Clark trial
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Testuinguru legalera bueltatuz, Sally Clark-en epaiketan,
19:53
all of the lawyers just accepted what the expert said.
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abokatu guztiek adituaren hitzak onartu zituzten, besterik gabe.
19:57
So if a pediatrician had come out and said to a jury,
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Beraz pediatra batek zinpekoei zera esan bazien:
19:59
"I know how to build bridges. I've built one down the road.
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"Badakit zubiak eraikitzen. Kale horretan bat eraiki dut.
20:02
Please drive your car home over it,"
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Mesedez, pasa bertatik zure autoarekin",
20:04
they would have said, "Well, pediatricians don't know how to build bridges.
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zinpekoek erantzungo zuten: "pediatrek ez dakite zubiak eraikitzen.
20:06
That's what engineers do."
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Hori injeniarei dagokie."
20:08
On the other hand, he came out and effectively said, or implied,
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Baina horren ordez iritsi eta esan zuen, edo aditzera eman zuen:
20:11
"I know how to reason with uncertainty. I know how to do statistics."
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"Badakit nola arrazoitu ziurtasunik gabeko egoeretan, badakit estatistikarekin lan egiten."
20:14
And everyone said, "Well, that's fine. He's an expert."
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Eta guztiek esan zuten, ados, aditu bat da.
20:17
So we need to understand where our competence is and isn't.
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Beraz gure konpetentziak non amaitzen diren jakin behar dugu.
20:20
Exactly the same kinds of issues arose in the early days of DNA profiling,
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Horrelakoxe gauzak atera ziren DNA sekuentziatzen hasi zirenean,
20:24
when scientists, and lawyers and in some cases judges,
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zientzialariak, abokatuak eta epaileak ere
20:28
routinely misrepresented evidence.
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sistematikoki frogak desitxuratu zituztenean.
20:32
Usually -- one hopes -- innocently, but misrepresented evidence.
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Orokorrean, uste dugu, maliziarik gabe, baina frogak desitxuratu zituzten.
20:35
Forensic scientists said, "The chance that this guy's innocent is one in three million."
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Zientzialari forenseek esan zuten "hau errugabea izateko probabilitatea 3 miliotik batekoa da".
20:40
Even if you believe the number, just like the 73 million to one,
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Zenbakia sinistuta ere, 73 miliotik bat bezala,
20:42
that's not what it meant.
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ez du hori esan nahi.
20:44
And there have been celebrated appeal cases
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Eta apelazio famatuak egon dira horregatik
20:46
in Britain and elsewhere because of that.
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Britainia Handian, eta beste lekuetan.
20:48
And just to finish in the context of the legal system.
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Eta lege-sistemaren testuinguruarekin amaitzeko.
20:51
It's all very well to say, "Let's do our best to present the evidence."
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Oso ongi dago "ahalik eta ongien froga aurkeztea".
20:55
But more and more, in cases of DNA profiling -- this is another one --
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Baina gero eta gehiago, batez ere DNA-ren azterketen kasuetan,
20:58
we expect juries, who are ordinary people --
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zinpekoak, pertsona normalak direnak,
21:01
and it's documented they're very bad at this --
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eta jakina den arren horretan oso txarrak direla,
21:03
we expect juries to be able to cope with the sorts of reasoning that goes on.
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arrazoitze modu horrekin lan egiteko gai direla uste dugu.
21:07
In other spheres of life, if people argued -- well, except possibly for politics --
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Bizitzaren beste esparruetan, jendeak ilogikoki argudiatuko balu,
21:12
but in other spheres of life, if people argued illogically,
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beno politikoak kenduta, beste esparruetan jendeak ilogikoki argudiatuko balu,
21:14
we'd say that's not a good thing.
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ez dela ona esango genuke.
21:16
We sort of expect it of politicians and don't hope for much more.
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Politikoengandik espero dugu, baina ez beste inorrengandik.
21:20
In the case of uncertainty, we get it wrong all the time --
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Ziurtasunik ezaren kasuan beti erratuta gaude, eta
21:23
and at the very least, we should be aware of that,
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gutxienez kontziente izan beharko genuke.
21:25
and ideally, we might try and do something about it.
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Eta idealki horen inguruan zerbait egin beharko genuke.
21:27
Thanks very much.
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Mila esker.
Webgune honi buruz

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