How I hacked online dating | Amy Webb

4,161,065 views ・ 2013-10-02

TED


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Translator: David J. Kreps Finnemann Reviewer: Bettina Løhmann
00:12
So my name is Amy Webb,
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Mit navn er Amy Webb,
00:15
and a few years ago I found myself at the end
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og for et par år siden stod jeg i slutningen af
00:17
of yet another fantastic relationship
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endnu et fantastisk forhold
00:20
that came burning down in a spectacular fashion.
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der sluttede i spektakulære flammer.
Og jeg tænkte: "Hvad er der galt med mig?
00:24
And I thought, what's wrong with me?
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00:26
I don't understand why this keeps happening.
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Jeg forstår ikke, hvorfor dette bliver ved med at ske."
00:28
So I asked everybody in my life what they thought.
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Så jeg spurgte alle i mit liv om,
hvad de tænkte.
00:32
I turned to my grandmother, who always had plenty of advice,
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Jeg spurgte min bedstemor,
der altid har masser af råd,
00:36
and she said, "Stop being so picky.
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og hun sagde, "Lad være med at være så kræsen.
00:39
You've got to date around.
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Du er nødt til at gå på dates.
00:40
And most importantly,
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Og allervigtigst,
00:42
true love will find you when you least expect it."
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den ægte kærlighed finder dig, når du mindst venter det."
00:46
Now as it turns out,
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Det viser sig,
00:48
I'm somebody who thinks a lot about data,
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at jeg er en person, der tænker meget på data,
00:50
as you'll soon find.
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som I snart finder ud af.
00:51
I am constantly swimming in numbers, formulas and charts.
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Jeg svømmer konstant i tal,
formler og diagrammer.
Jeg har også en meget fast sammentømret familie,
00:57
I also have a very tight-knit family,
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00:59
and I'm very, very close with my sister,
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jeg har et meget, meget nært forhold til min søster,
01:01
and as a result, I wanted to have the same type of family when I grew up.
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og derfor ønskede jeg også
den samme form for familie, når jeg blev voksen.
01:04
So I'm at the end of this bad breakup,
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Jeg er altså i slutningen af dette slemme brud,
01:06
I'm 30 years old,
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jeg er 30 år gammel,
01:08
I figure I'm probably going to have to date somebody for about six months
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jeg tror, at jeg skal date nogen i
omkring et halvt års tid,
01:11
before I'm ready to get monogamous
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før jeg er klar til at blive monogam
01:13
and before we can sort of cohabitate,
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før vi mere eller mindre kan leve sammen,
01:15
and we have to do that for a while before we can get engaged.
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og det skal ske i noget tid, inden vi bliver forlovede.
01:18
And if I want to start having children by the time I'm 35,
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Og hvis jeg vil til at have børn, inden jeg er 35,
01:21
that meant that I would have had to have been on my way to marriage
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betød det, at jeg skulle have været
på vej ind i ægteskabet for fem år siden.
01:24
five years ago.
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01:26
So that wasn't going to work.
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Så det skulle ikke være sådan.
01:27
If my strategy was to least-expect my way into true love,
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Hvis min strategi var at mindst forvente mig
til ægte kærlighed, så skulle jeg tage højde for
01:31
then the variable that I had to deal with was serendipity.
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den variabel, der hedder lykketræf.
01:34
In short, I was trying to figure out
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Kort sagt prøvede jeg at regne ud,
hvad sandsynligheden var for, at jeg kunne finde ridderen på den hvide hest?
01:37
what's the probability of my finding Mr. Right?
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01:40
Well, at the time I was living in the city of Philadelphia,
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På det tidspunkt boede jeg i Philadelphia,
og det er en stor by, så jeg tænkte,
01:43
and it's a big city, and I figured,
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01:45
in this entire place, there are lots of possibilities.
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at på hele dette område er der masser af muligheder.
01:48
So again, I started doing some math.
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Jeg begyndte igen med nogle udregninger.
01:50
Population of Philadelphia: it has 1.5 million people.
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Indbyggertallet i Philadelphia: der er 1,5 million mennesker.
01:54
I figure about half of that are men,
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Jeg går ud fra, at cirka halvdelen er mænd,
så det halverer tallet til 750.000.
01:56
so that takes the number down to 750,000.
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01:58
I'm looking for a guy between the ages of 30 and 36,
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Jeg leder efter en fyr, der er mellem 30 og 36 år,
02:01
which was only four percent of the population,
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hvilket kun var 4 procent af indbyggertallet,
02:04
so now I'm dealing with the possibility of 30,000 men.
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så nu har jeg at gøre med 30.000 mulige mænd.
02:07
I was looking for somebody who was Jewish,
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Jeg ledte efter en, der var jødisk,
for det er jeg, og det var vigtigt for mig.
02:09
because I am and that was important to me.
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02:11
That's only 2.3 percent of the population.
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Det er kun 2,3 procent af indbyggertallet.
02:13
I figure I'm attracted to maybe one out of 10 of those men,
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Jeg antager, at jeg kun tiltrækkes af én ud af ti
af de mænd,
02:18
and there was no way I was going to deal with somebody who was an avid golfer.
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og jeg skulle på ingen måde
have med nogen at gøre, der var ivrige golfspillere.
02:22
So that basically meant there were 35 men for me
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Så det betød dybest set, at der var 35 mænd til mig,
02:25
that I could possibly date
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som jeg på nogen måde kunne få lyst til at date
02:28
in the entire city of Philadelphia.
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i hele Philadelphia.
02:32
In the meantime, my very large Jewish family
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I mellemtiden var hele min meget store, jødiske familie
02:35
was already all married and well on their way
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allerede gift og godt i gang med
02:38
to having lots and lots of children,
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at få masser og masser af børn,
02:40
and I felt like I was under tremendous peer pressure
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så jeg følte, at jeg var under et enormt gruppepres
02:42
to get my life going already.
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for at få gang i mit liv.
02:44
So I have two possible strategies at this point
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Jeg har nærmest kun to mulige strategier på dette tidspunkt,
02:46
I'm sort of figuring out.
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som jeg prøver at regne ud.
Som det første kan jeg følge min bedstemors råd
02:48
One, I can take my grandmother's advice
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02:50
and sort of least-expect my way
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og på en eller anden måde mindst-forvente
02:52
into maybe bumping into the one out of 35 possible men
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at jeg støder ind i den eneste ene
ud af de 35 mulige mænd i hele
02:56
in the entire 1.5-million-person city of Philadelphia,
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byen Philadelphia med 1,5 millioner indbyggere
03:01
or I could try online dating.
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eller jeg kunne prøve online-dating.
03:04
Now, I like the idea of online dating,
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Jeg kan faktisk godt lide ideen om online-dating,
03:06
because it's predicated on an algorithm,
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fordi det er baseret på en algoritme,
03:08
and that's really just a simple way of saying
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og det er i virkeligheden en simpel måde at sige
03:10
I've got a problem, I'm going to use some data,
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at man har et problem, man vil anvende nogle data,
03:12
run it through a system and get to a solution.
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køre det gennem et system
og finde frem til en løsning.
03:16
So online dating is the second most popular way
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Online-dating er den næstmest populære måde
03:18
that people now meet each other,
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for mennesker at møde hinanden på,
03:20
but as it turns out, algorithms have been around
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men det viser sig, at de algoritmer har været anvendt
03:22
for thousands of years in almost every culture.
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i tusindvis af år i næsten alle kulturer.
03:25
In fact, in Judaism, there were matchmakers a long time ago,
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Faktisk var der i jødedommen "Kirsten Gifteknive"
allerede for lang tid siden, og selvom
03:29
and though they didn't have an explicit algorithm per se,
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de ikke nødvendigvis havde en algoritme som sådan,
03:32
they definitely were running through formulas in their heads,
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så gennemgik de bestemt nogle formler i tankerne,
f.eks. vil pigen kunne lide drengen?
03:35
like, is the girl going to like the boy?
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Vil familierne finde ud af det med hinanden?
03:37
Are the families going to get along?
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03:38
What's the rabbi going to say?
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Hvad vil rabbineren sige?
Begynder de at få børn med det samme?
03:40
Are they going to start having children right away?
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03:42
The matchmaker would sort of think through all of this,
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Og giftekniven vil overveje alle disse ting,
03:45
put two people together, and that would be the end of it.
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sætte to mennesker sammen, og det vil så være det.
Men i mit tilfælde,
03:48
So in my case, I thought,
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03:49
well, will data and an algorithm lead me to my Prince Charming?
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kunne data og algoritmer
så føre mig til min ridder på den hvide hest?
03:54
So I decided to sign on.
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Jeg besluttede mig for at melde mig ind.
03:56
Now, there was one small catch.
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Der var dog en lille hage.
03:57
As I'm signing on to the various dating websites,
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Mens jeg meldte mig til de forskellige datingsider,
04:00
as it happens, I was really, really busy.
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havde jeg faktisk meget, meget travlt.
04:02
But that actually wasn't the biggest problem.
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Men det var faktisk ikke det største problem.
04:05
The biggest problem is that I hate filling out questionnaires of any kind,
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Det største problem er, at jeg hader
at udfylde nogen form for spørgeskemaer,
04:09
and I certainly don't like questionnaires that are like Cosmo quizzes.
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og jeg kan bestemt ikke lide spørgeskemaer
der er ligesom Cosmo-quizzer.
04:13
So I just copied and pasted from my résumé.
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Så jeg tog mit cv og kopierede ind fra dét.
04:16
(Laughter)
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(Latter)
04:21
So in the descriptive part up top,
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I den beskrivende del øverst
04:24
I said that I was an award-winning journalist
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skrev jeg, at jeg var en prisvindende journalist
04:26
and a future thinker.
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og en fremtidstænker.
04:28
When I was asked about fun activities and my ideal date,
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Da jeg blev spurgt om sjove aktiviteter og
min ideelle date, skrev jeg møntning
04:31
I said monetization and fluency in Japanese.
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og at kunne flydende japansk.
04:36
I talked a lot about JavaScript.
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Jeg skrev meget om JavaScript.
04:37
(Laughter)
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Så dette var åbenlyst ikke den bedste måde
04:39
So obviously this was not the best way to put my most sexy foot forward.
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at vise mig fra min sexede side.
04:45
But the real failure was that there were plenty of men for me to date.
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Men den helt store fejl var,
at der var masser af mænd, jeg kunne date.
04:50
These algorithms had a sea full of men
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Disse algoritmer fremkaldte et hav af mænd,
04:52
that wanted to take me out on lots of dates --
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der ville invitere mig på masser af dates --
04:55
what turned out to be truly awful dates.
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hvad der viste sig at være forfærdelige dates.
04:59
There was this guy Steve, the I.T. guy.
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Der var f.eks. Steve, it-fyren.
05:01
The algorithm matched us up because we share a love of gadgets,
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Algoritmen satte os sammen,
fordi vi deler en forkærlighed for gadgets,
05:05
we share a love of math and data and '80s music,
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vi deler en forkærlighed for matematik, data og 80'er-musik,
05:09
and so I agreed to go out with him.
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så jeg lod ham invitere mig ud.
05:11
So Steve the I.T. guy invited me out
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It-fyren Steve inviterede mig ud
05:13
to one of Philadelphia's white-table-cloth,
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på en af Philadelphias fine,
05:15
extremely expensive restaurants.
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ekstremt dyre restauranter.
05:17
And we went in, and right off the bat,
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Vi gik ind, og lige fra starten
05:19
our conversation really wasn't taking flight,
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kom vores samtale ikke rigtigt i gang,
05:22
but he was ordering a lot of food.
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men han bestilte en masse mad.
05:24
In fact, he didn't even bother looking at the menu.
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Han så faktisk slet ikke på menukortet.
Han bestilte flere forretter,
05:27
He was ordering multiple appetizers, multiple entrées, for me as well,
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flere hovedretter, også til mig,
05:31
and suddenly there are piles and piles of food on our table,
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og pludselig var der bunker og bunker af mad på vores bord,
også en hel masse flasker vin.
05:34
also lots and lots of bottles of wine.
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05:36
So we're nearing the end of our conversation
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Vi nærmer os enden på vores samtale
05:38
and the end of dinner, and I've decided
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og middagens slutning, og jeg har besluttet
at it-fyren Steve og jeg ikke hører sammen,
05:40
Steve the I.T. guy and I are really just not meant for each other,
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men at vi deles som venner,
05:43
but we'll part ways as friends,
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05:44
when he gets up to go to the bathroom,
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og så rejser han sig for at gå på toilet.
05:47
and in the meantime, the bill comes to our table.
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I mellemtiden kommer regningen til vores bord.
Og hør engang, jeg er en moderne kvinde.
05:51
And listen, I'm a modern woman.
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05:53
I am totally down with splitting the bill.
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Jeg har det fint med at dele regningen.
05:56
But then Steve the I.T. guy didn't come back.
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Men it-fyren Steve kom ikke tilbage. (Gisp)
05:59
(Gasping)
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06:00
And that was my entire month's rent.
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Og det var altså en hel måneds husleje.
06:03
(Audience gasps)
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06:04
So needless to say, I was not having a good night.
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Jeg behøver nok ikke fortælle, at jeg ikke havde en god aften.
06:08
So I run home, I call my mother, I call my sister,
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Jeg løber så hjem, ringer til min mor, ringer til min søster,
06:11
and as I do, at the end of each one of these terrible, terrible dates,
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og mens jeg gør det, efter hver af disse
forfærdelige, forfærdelige dates,
06:16
I regale them with the details.
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underholder jeg dem med detaljerne.
06:18
And they say to me,
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De siger til mig,
06:20
"Stop complaining."
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"Hold op med at brokke dig."
06:22
(Laughter)
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(Latter)
06:23
"You're just being too picky."
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"Du er bare for kræsen."
06:26
So I said, fine, from here on out I'm only going on dates
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Så jeg sagde; "Fint, fra nu af
tager jeg kun på dates, hvor jeg ved,
06:29
where I know there's Wi-Fi, and I'm bringing my laptop.
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at der er wifi, og jeg tager min laptop med.
Jeg putter den i min taske,
06:32
I'm going to shove it into my bag,
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06:33
I'm going to have this email template,
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og så har jeg en email-skabelon,
06:35
and I'm going to fill it out and collect information
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som jeg udfylder for at indsamle oplysninger
på en masse forskellige datapunkter i løbet af daten
06:38
on all these different data points during the date
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06:40
to prove to everybody that empirically,
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for at bevise for alle, at empirisk set
06:42
these dates really are terrible.
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er alle disse dates virkelig forfærdelige. (Latter)
06:44
(Laughter)
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Så jeg begyndte at holde styr på ting som
06:45
So I started tracking things like really stupid, awkward, sexual remarks;
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virkelig dumme, akavede, seksuelle bemærkninger;
06:49
bad vocabulary;
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dårligt ordforråd;
06:51
the number of times a man forced me to high-five him.
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antallet af gange, en mand tvang mig til at give ham high-five.
06:54
(Laughter)
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(Latter)
06:56
So I started to crunch some numbers,
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Jeg begyndte også at kigge på nogle tal,
og derudfra kunne jeg beregne nogle sammenfald.
07:01
and that allowed me to make some correlations.
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07:03
So as it turns out,
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Det viser sig
07:06
for some reason, men who drink Scotch reference kinky sex immediately.
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af en eller anden grund, at mænd, der drikker whisky
hænger sammen med fræk sex fra starten.
07:11
(Laughter)
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(Latter)
07:13
Well, it turns out that these probably weren't bad guys.
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Det viser sig, at de
sikkert ikke var dårlige fyre.
07:17
There were just bad for me.
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De var bare dårlige til mig.
07:19
And as it happens, the algorithms that were setting us up,
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Algoritmerne, der satte os sammen,
07:23
they weren't bad either.
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var heller ikke dårlige.
07:24
These algorithms were doing exactly what they were designed to do,
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Disse algoritmer gjorde præcis det,
de var designet til at gøre,
nemlig at tage vores brugerskabte oplysninger,
07:28
which was to take our user-generated information,
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07:30
in my case, my résumé,
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i mit tilfælde, mit cv,
07:32
and match it up with other people's information.
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og matche dem med andre menneskers oplysninger.
07:35
See, the real problem here is that,
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Det virkelige problem her er,
at mens algoritmerne fungerer helt fint,
07:37
while the algorithms work just fine,
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07:38
you and I don't,
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gør du og jeg det ikke, når vi står over for
07:40
when confronted with blank windows
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tomme felter, som vi skal
07:42
where we're supposed to input our information online.
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udfylde med vores oplysninger.
07:44
Very few of us have the ability
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Meget få af os har evnen
07:46
to be totally and brutally honest with ourselves.
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til at være totalt og hudløst ærlige over for os selv.
07:50
The other problem is that these websites are asking us
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Det andet problem er, at disse hjemmesider stiller os
07:52
questions like, are you a dog person or a cat person?
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spørgsmål som: er man et hundemenneske eller et kattemenneske?
07:55
Do you like horror films or romance films?
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Kan man lide gyserfilm eller romantiske film?
07:58
I'm not looking for a pen pal.
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Jeg leder ikke efter en penneven.
08:00
I'm looking for a husband. Right?
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Jeg leder efter en mand. Okay?
08:02
So there's a certain amount of superficiality in that data.
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Der er altså en vis mængde overfladiskhed i de data.
08:05
So I said fine, I've got a new plan.
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Jeg fik så en ny plan.
08:08
I'm going to keep using these online dating sites,
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Jeg vil blive ved med at bruge disse online-datingsider,
08:10
but I'm going to treat them as databases,
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men jeg vil behandle dem som databaser,
og i stedet for at vente på en algoritme, der sætter os sammen,
08:13
and rather than waiting for an algorithm to set me up,
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08:15
I think I'm going to try reverse-engineering this entire system.
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vil jeg prøve at vende hele systemet om.
08:19
So knowing that there was superficial data
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Med den viden, at der blev brugt overfladiske data
08:22
that was being used to match me up with other people,
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til at sætte mig sammen med andre mennesker,
08:24
I decided instead to ask my own questions.
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besluttede jeg mig i stedet for at stille mine egne spørgsmål.
08:27
What was every single possible thing
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Hvad var hver eneste mulige ting,
som jeg kunne komme på, at jeg ledte efter hos en partner?
08:29
that I could think of that I was looking for in a mate?
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08:31
So I started writing
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Jeg begyndte at skrive og skrive og skrive,
08:33
and writing and writing,
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08:36
and at the end, I had amassed 72 different data points.
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og til slut havde jeg akkumuleret
72 forskellige datapunkter.
08:41
I wanted somebody was Jew-ish,
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Jeg ville have en, der var jøde…isk,
08:43
so I was looking for somebody
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så jeg ledte efter nogen, der havde samme
08:45
who had the same background and thoughts on our culture,
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baggrund og tanker omkring vores kultur,
08:47
but wasn't going to force me to go to shul every Friday and Saturday.
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men som ikke ville tvinge mig til at gå til shul
hver fredag og lørdag.
08:51
I wanted somebody who worked hard,
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Jeg ville have en, der arbejdede hårdt,
08:53
because work for me is extremely important,
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fordi arbejde er ekstremt vigtigt for mig,
08:55
but not too hard.
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men ikke for hårdt.
For mig er mine hobbyer
08:57
For me, the hobbies that I have
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08:58
are really just new work projects that I've launched.
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i virkeligheden bare nye arbejdsprojekter, jeg har sat i gang.
09:01
I also wanted somebody who not only wanted two children,
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Jeg ville også have en, der ikke kun ville have to børn,
09:04
but was going to have the same attitude toward parenting that I do,
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men som havde samme indstilling til opdragelse som jeg,
09:07
so somebody who was going to be totally okay
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med andre ord en, der ville have det helt fint med
09:09
with forcing our child to start taking piano lessons at age three,
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at tvinge vores børn til at begynde med klaverundervisning i treårsalderen,
og måske også computerundervisning,
09:13
and also maybe computer science classes if we could wrangle it.
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hvis vi kunne få det til at fungere.
09:18
So things like that, but I also wanted somebody
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Ting som det, men jeg ville også finde en,
09:20
who would go to far-flung, exotic places, like Petra, Jordan.
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der ville tage til fjerne, eksotiske steder med mif,
f.eks. Petra i Jordan.
Jeg ville også have en, der altid ville veje
09:24
I also wanted somebody who would weigh 20 pounds more than me at all times,
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9 kilo mere end mig,
09:27
regardless of what I weighed.
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uanset hvad jeg selv vejer.
(Latter)
09:29
(Laughter)
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09:31
So I now have these 72 different data points,
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Så nu har jeg 72 forskellige datapunkter,
09:34
which, to be fair, is a lot.
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som ærlig talt er ret mange.
09:36
So what I did was, I went through and I prioritized that list.
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Jeg gennemgik dem derfor
og prioriterede den liste.
09:39
I broke it into a top tier and a second tier of points,
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Jeg inddelte den i to lag med punkter,
09:43
and I ranked everything starting at 100
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hvor jeg rangerede alt begyndende med 100
09:46
and going all the way down to 91,
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og helt ned til 91,
09:48
and listing things like I was looking for somebody who was really smart,
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og opstillede ting som, at jeg leder efter en meget klog mand,
som kan udfordre og stimulere mig,
09:52
who would challenge and stimulate me,
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og balancerede det med det andet lag
09:54
and balancing that with a second tier and a second set of points.
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og et andet sæt punkter.
09:57
These things were also important to me but not necessarily deal-breakers.
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Disse ting var også vigtige for mig,
men ikke nødvendigvis nok til at bryde kontrakten.
10:02
(Laughter)
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10:04
So once I had all this done, I then built a scoring system,
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Da jeg havde gjort alt dette,
lavede jeg et scoringssystem,
10:07
because what I wanted to do was to sort of mathematically calculate
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fordi jeg ønskede at
lave en matematisk udregning på,
10:11
whether or not I thought the guy that I found online
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om jeg mente, at fyren, som jeg havde fundet online,
10:14
would be a match with me.
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ville passe til mig.
10:15
I figured there would be a minimum of 700 points
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Jeg tænkte, at det krævede mindst 700 point,
10:18
before I would agree to email somebody or respond to an email message.
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før jeg ville gå med til at send emails til nogen
eller svare på en email.
10:21
For 900 points, I'd agree to go out on a date,
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Ved 900 point ville jeg gå med på en date,
og jeg ville slet ikke så meget som overveje nogen form for forhold
10:24
and I wouldn't even consider any kind of relationship
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10:26
before somebody had crossed the 1,500 point threshold.
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før nogen havde krydset 1.500 point-tærsklen.
10:30
Well, as it turns out, this worked pretty well.
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Det viste sig, at det fungerede ret godt.
10:33
So I go back online now.
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Jeg gik igen online.
10:35
I found Jewishdoc57
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Jeg fandt Jewishdoc57,
10:38
who's incredibly good-looking, incredibly well-spoken,
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2913
der så virkelig godt ud, utrolig veltalende,
10:41
he had hiked Mt. Fuji,
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han havde besteget Fujiyama,
10:42
he had walked along the Great Wall.
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1906
han havde gået på Den kinesiske mur.
10:44
He likes to travel
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Han kunne lide at rejse, bare det ikke var på et krydstogtskib.
10:45
as long as it doesn't involve a cruise ship.
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Så jeg tænkte, jeg har gjort det!
10:48
And I thought,
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10:49
I've done it!
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10:50
I've cracked the code.
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Jeg har brudt koden.
10:52
I have just found the Jewish Prince Charming
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Jeg har lige fundet den jødiske ridder på den hvide hest,
10:56
of my family's dreams.
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som min familie drømmer om.
10:58
There was only one problem:
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Der var bare et problem:
Han kunne ikke lide mig.
11:01
He didn't like me back.
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1301
11:03
And I guess the one variable that I haven't considered
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Det var nok den eneste variabel, jeg ikke havde overvejet
11:06
is the competition.
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nemlig rivaliseringen.
11:08
Who are all of the other women on these dating sites?
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Hvem er alle de andre kvinder
på disse datingsider?
11:12
I found SmileyGirl1978.
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Jeg fandt SmileyGirl1978.
11:16
She said she was a "Fun girl who is Happy and Outgoing."
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Hun skrev, hun var en "sjov pige, der er Glad og Udadvendt."
11:19
She listed her job as "teacher."
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Hun skrev, at hun var lærer.
11:20
She said she is "silly, nice and friendly."
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Hun skrev, at hun var "fjollet, sød og venlig."
11:23
She likes to make people laugh "alot."
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Hun kunne godt lide at få folk til at grine "meget."
11:25
At this moment I knew,
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På dette tidspunkt vidste jeg, efter at have klikket på profil
11:27
clicking profile after profile that looked like this,
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3085
efter profil efter profil, der så sådan her ud,
11:30
that I needed to do some market research.
254
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at jeg skulle lave nogle markedsundersøgelser.
Så jeg skabte 10 falske mandlige profiler.
11:33
So I created 10 fake male profiles.
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693483
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11:35
Now, before I lose all of you --
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Nuvel, inden jeg mister jer alle sammen --
11:38
(Laughter) --
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(Latter) --
må I forstå, at jeg gjorde det
11:41
understand that I did this strictly to gather data
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4222
udelukkende for at indsamle data
11:46
about everybody else in the system.
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om alle andre i systemet.
11:47
I didn't carry on crazy Catfish-style relationships with anybody.
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Jeg havde ikke nogen skøre Catfish-agtige forhold med nogen.
11:52
I really was just scraping their data.
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Jeg indsamlede bare deres data.
11:54
But I didn't want everybody's data.
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Men jeg ville ikke have alles data.
11:56
I only wanted data on the women who were going to be attracted
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Jeg ville kun have data fra de kvinder,
der kunne blive tiltrukket
11:59
to the type of man that I really, really wanted to marry.
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af den slags mand, jeg virkelig, virkelig gerne ville giftes med. (Latter)
12:02
When I released these men into the wild,
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Når jeg slap disse mænd løs i naturen,
12:06
I did follow some rules.
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fulgte jeg nogle strenge regler.
12:07
So I didn't reach out to any woman first.
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Jeg kontaktede ikke selv kvinder.
12:09
I just waited to see who these profiles were going to attract,
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Jeg ventede bare på at se, hvem disse profiler ville tiltrække,
12:12
and mainly what I was looking at was two different data sets.
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og jeg ledte hovedsageligt efter to forskellige datasæt.
12:16
So I was looking at qualitative data,
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1762
Jeg ledte efter kvalitative data,
12:17
so what was the humor, the tone,
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1677
hvordan var humoren, tonen,
12:19
the voice, the communication style
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1620
stemmen, kommunikationsformen
12:21
that these women shared in common?
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som disse kvinder havde til fælles.
12:23
And also quantitative data,
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1286
Og også kvantitative data,
12:24
so what was the average length of their profile,
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hvad var den gennemsnitlige længde på deres profil,
12:26
how much time was spent between messages?
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hvor meget tid gik der mellem beskederne?
Det jeg prøvede på at opnå her, var,
12:29
What I was trying to get at here was that I figured, in person,
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at jeg som person
12:32
I would be just as competitive as a SmileyGirl1978.
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3451
ville være lige så konkurrerende
som SmileyGirl1978.
12:35
I wanted to figure out how to maximize my own profile online.
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4397
Jeg ville regne ud, hvordan jeg maksimerede
min egen profil online.
12:40
Well, one month later,
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1614
En måneds tid senere
12:42
I had a lot of data, and I was able to do another analysis.
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3729
havde jeg masser af data, og jeg var i stand til at lave endnu en analyse.
12:46
And as it turns out, content matters a lot.
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2856
Det viser sig, at indhold betyder meget.
12:49
So smart people tend to write a lot --
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2951
Kloge mennesker har en tendens til at skrive meget --
3.000, 4.000,
12:52
3,000, 4,000, 5,000 words about themselves,
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3325
5.000 ord om sig selv,
12:55
which may all be very, very interesting.
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2303
hvilket alt sammen muligvis er meget, meget interessant.
12:57
The challenge here, though, is that the popular men and women
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2880
Udfordringen her er dog,
at de populære mænd og kvinder
13:00
are sticking to 97 words on average
287
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3197
holder sig til 97 ord i gennemsnit
13:03
that are written very, very well,
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1920
der er rigtig, rigtig godt skrevet,
13:05
even though it may not seem like it all the time.
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2644
også selvom det ikke altid virker sådan.
13:08
The other hallmark of the people who do this well
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2339
Det andet kendetegn ved mennesker, der gør det godt,
13:10
is that they're using non-specific language.
291
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2103
er, at de bruger et uspecifikt sprog.
I mit eget tilfælde er
13:13
So in my case,
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793048
1302
13:14
"The English Patient" is my most favorite movie ever,
293
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3586
"Den Engelske Patient" min absolutte yndlingsfilm,
13:17
but it doesn't work to use that in a profile,
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3149
men det fungerer ikke at bruge det i en profil,
13:21
because that's a superficial data point,
295
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1954
fordi det er et overfladisk datapunkt,
og nogen er måske uenige med mig
13:23
and somebody may disagree
296
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1192
13:24
and decide they don't want to go out
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1743
og beslutter, at de ikke vil på date med mig
fordi de ikke kan lide at se en tre timer lang film.
13:26
because they didn't like sitting through the three-hour movie.
298
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2964
Og optimistisk sprog betyder meget.
13:29
Also, optimistic language matters a lot.
299
809106
1980
Dette er en ordsky,
13:31
So this is a word cloud
300
811110
1212
13:32
highlighting the most popular words that were used
301
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2436
der fremhæver de vigtigste ord, der blev brugt
13:34
by the most popular women,
302
814806
1308
af de mest populære kvinder,
13:36
words like "fun" and "girl" and "love."
303
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2373
ord som "sjov" og "pige" og "kærlighed."
13:38
And what I realized was not that I had to dumb down my own profile.
304
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3540
Jeg blev klar over, at jeg ikke skulle
gøre min egen profil dummere.
13:42
Remember, I'm somebody who said
305
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1508
Husk på, at jeg selv skrev,
13:43
that I speak fluent Japanese and I know JavaScript
306
823924
3019
at jeg taler flydende japansk og kender JavaScript,
13:46
and I was okay with that.
307
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1721
og det havde jeg det fint med.
13:48
The difference is that it's about being more approachable
308
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2758
Forskellen er, at det handler om at være mere tilgængelig
13:51
and helping people understand the best way to reach out to you.
309
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3527
og hjælpe folk med at forstå,
hvordan de bedst kan nå ind til en.
13:55
And as it turns out, timing is also really, really important.
310
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3020
Det viser sig, at timing også er virkelig, virkelig vigtigt.
Blot fordi man har adgang
13:58
Just because you have access to somebody's mobile phone number
311
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3248
til nogens mobilnummer
14:01
or their instant message account
312
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1732
eller deres instant message-profil,
14:03
and it's 2 o'clock in the morning and you happen to be awake,
313
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2915
og klokken er to om natten, og man tilfældigvis er vågen,
så betyder det ikke, at det er et godt tidspunkt at kommunikere med de mennesker.
14:06
doesn't mean that that's a good time to communicate with those people.
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3315
De populære kvinder på disse onlinesider
14:09
The popular women on these online sites
315
849395
1943
14:11
spend an average of 23 hours in between each communication.
316
851362
3467
venter gennemsnitligt 23 timer
mellem hver kommunikation.
14:15
And that's what we would normally do in the usual process of courtship.
317
855265
4282
Det er det, vi normalvis ville gøre
i den almindelige kurtiseringsproces.
14:19
And finally --
318
859571
1186
Der var også billederne.
14:21
there were the photos.
319
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1555
Alle de populære kvinder
14:23
All of the women who were popular showed some skin.
320
863171
3025
viste hud.
14:26
They all looked really great,
321
866220
2202
De så alle sammen godt ud,
14:28
which turned out to be in sharp contrast
322
868446
2878
hvilket viste sig at være en skarp kontrast
14:31
to what I had uploaded.
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1500
til det, jeg selv havde uploadet.
14:32
(Laughter)
324
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1738
14:34
Once I had all of this information,
325
874634
1706
Da jeg havde alle disse oplysninger,
14:36
I was able to create a super profile,
326
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2113
var jeg i stand til at skabe en superprofil,
14:38
so it was still me,
327
878501
2001
som stadig var mig,
14:40
but it was me optimized now for this ecosystem.
328
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2968
men jeg var nu optimeret til dette økosystem.
14:44
And as it turns out, I did a really good job.
329
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3960
Det viser sig, at jeg gjorde et virkelig godt stykke arbejde.
14:49
I was the most popular person online.
330
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3032
Jeg var den mest populære person online.
14:52
(Laughter)
331
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2495
(Latter)
14:54
(Applause)
332
894709
4190
(Bifald)
14:58
And as it turns out, lots and lots of men wanted to date me.
333
898923
3463
Det viste sig, at rigtigt mange mænd ville på date med mig.
15:02
So I call my mom, I call my sister, I call my grandmother.
334
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2801
Så jeg ringer til min mor, jeg ringer til min søster, jeg ringer til min bedstemor.
Jeg fortæller dem disse fantastiske nyheder,
15:05
I'm telling them about this fabulous news,
335
905235
2129
og de siger, "Det er vidunderligt!
15:07
and they say, "This is wonderful! How soon are you going out?"
336
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3229
Hvornår går du på date med ham?"
15:10
I said, "Actually, I'm not going to go out with anybody."
337
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2682
Og jeg sagde, "Jamen, faktisk går jeg ikke på date med nogen."
15:13
Because remember, in my scoring system,
338
913347
1874
Husk på, at i mit scoringssystem
15:15
they have to reach a minimum threshold of 700 points,
339
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2496
skal de nå en minimumsgrænse på 700 point,
15:17
and none of them have done that.
340
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1539
og det gjorde ingen af dem.
15:19
They said, "What? You're still being too damn picky."
341
919750
2657
De sagde, "Hvad? Du er stadig at for kræsen."
15:22
Well, not too long after that, I found this guy, Thevenin,
342
922431
3534
Men ikke længe efter det
fandt jeg denne fyr, Thevenin,
15:25
and he said that he was culturally Jewish,
343
925989
2991
og han skrev at han kulturelt set var jødisk,
han skrev, at hans job var arktisk babysæljæger,
15:29
he said that his job was an arctic baby seal hunter,
344
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3516
hvilket jeg syntes var ret kvikt.
15:32
which I thought was very clever.
345
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1776
15:34
He talked in detail about travel.
346
934344
2853
Han skrev detaljeret om at rejse.
15:37
He made a lot of really interesting cultural references.
347
937221
2667
Han lavede mange interessante kulturelle referencer.
15:39
He looked and talked exactly like what I wanted,
348
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2742
Han lignede og skrev præcis som det, jeg ville have,
15:42
and immediately, he scored 850 points.
349
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3134
så han scorede øjeblikkeligt 850 point.
15:45
It was enough for a date.
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1664
Det var nok til en date.
15:47
Three weeks later, we met up in person
351
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2092
Tre uger senere mødtes vi ansigt til ansigt
15:49
for what turned out to be a 14-hour-long conversation
352
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3480
til det, der viste sig at blive en 14-timer lang samtale,
der gik fra en cafe til en restaurant
15:53
that went from coffee shop to restaurant
353
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2047
15:55
to another coffee shop to another restaurant,
354
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2157
til endnu en cafe til endnu en restaurant,
15:57
and when he dropped me back off at my house that night
355
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2524
og da han satte mig af ved mit hus den aften,
15:59
I re-scored him --
356
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1151
testede jeg ham igen --
[1.050 point!] --
16:01
[1,050 points!]
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16:02
Thought, you know what,
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jeg tænkte, ved I hvad,
16:03
this entire time, I haven't been picky enough.
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i al den tid har jeg ikke været kræsen nok.
16:06
Well, a year and a half after that,
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Halvandet år efter det
16:08
we were non-cruise ship traveling
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var vi ude at rejse, ikke med krydstogtskib,
16:11
through Petra, Jordan,
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gennem Petra i Jordan,
16:13
when he got down on his knee and proposed.
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hvor han gik på knæ og friede.
16:16
A year after that, we were married,
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Et år senere var vi gift,
16:19
and about a year and a half after that,
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og omkring halvandet år efter det blev vores datter,
16:21
our daughter, Petra, was born.
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Petra, født.
16:23
Audience: Oh!
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(Bifald)
16:25
(Applause)
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16:27
[What it means...]
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16:30
Obviously, I'm having a fabulous life, so --
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Jeg har tydeligvis et fantastisk liv, så --
16:33
(Laughter)
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(Latter) --
16:34
The question is, what does all of this mean for you?
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spørgsmålet er, hvad alt dette betyder for en?
16:37
Well, as it turns out, there is an algorithm for love.
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Det viser sig, at der findes en algoritme for kærlighed.
16:40
It's just not the ones that we're being presented with online.
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Det er ikke kun dem, vi bliver præsenteret for online.
16:44
In fact, it's something that you write yourself.
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Faktisk er det noget, man selv skriver.
Så hvadenten man leder efter en mand eller en kone,
16:47
So whether you're looking for a husband or a wife
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16:49
or you're trying to find your passion
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om man prøver at finde sin passion
16:51
or you're trying to start a business,
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eller prøver at starte et firma,
så skal man blot finde sin egen ramme
16:53
all you have to really do is figure out your own framework
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16:55
and play by your own rules,
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og spille efter egne regler,
16:57
and feel free to be as picky as you want.
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føle sig fri til at være så kræsen, som man ønsker.
17:00
Well, on my wedding day,
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På min bryllupsdag
17:01
I had a conversation again with my grandmother,
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havde jeg igen en samtale med min farmor,
og hun sagde, "Godt, måske tog jeg fejl.
17:04
and she said, "All right, maybe I was wrong.
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17:06
It looks like you did come up with a really, really great system.
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Det ser ud til, at du fandt på et
virkelig, virkelig fantatisk system.
17:09
Now, your matzah balls ...
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Men, dine matzoh-kugler.
De skal være luftige, ikke hårde."
17:13
They should be fluffy, not hard."
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17:14
(Laughter)
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Og dér følger jeg hendes råd.
17:16
And I'll take her advice on that.
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17:17
(Applause)
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(Bifald)
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