ABOUT THE SPEAKER
Amy Webb - Founder and CEO, Future Today Institute
Amy Webb is a futurist and founder of the Future Today Institute, and is the award-winning author of three books, including “Data: A Love Story” and “The Signals Are Talking: Why Today’s Fringe Is Tomorrow’s Mainstream.”

Why you should listen

Amy Webb uses data to understand the present and future of humanity, a practice she first developed as a journalist for the Wall Street Journal and Newsweek and has continued as a futurist. She is the head of the Future Today Institute, which researches collisions between technology, society and business — and maps scenarios that are on the horizon. She was named to the Thinkers50 Radar list of the 30 management thinkers most likely to shape the future of how organizations are managed and led.

Webb is on the adjunct faculty at the NYU Stern School of Business, where she teaches a popular MBA-level course on futures forecasting. She is the author of The Signals Are Talking, Why Today’s Fringe Is Tomorrow’s Mainstream, which has become the standard text on futures forecasting and explains how to predict and manage technological change. Her book Data: A Love Story tells the tale of how she gamed the online dating system to figure out how to find the love of her life.

More profile about the speaker
Amy Webb | Speaker | TED.com
TEDSalon NY2013

Amy Webb: How I hacked online dating

Amy Webb: Kako sam provalila online dating

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Amy Webb nije imala sreće s vezama preko Interneta. Osobe koje su joj se sviđale nisu joj odgovarale na poruke, a njen je profil privlačio je nezanimljive (i gore). Tako da je, poput svakog ljubitelja podataka, počela izrađivati proračunsku tablicu. Poslušajte priču kako je izanalizirala svoje traganje za partnerom preko Interneta - s frustrirajućim, smiješnim i izazovnim rezultatima.
- Founder and CEO, Future Today Institute
Amy Webb is a futurist and founder of the Future Today Institute, and is the award-winning author of three books, including “Data: A Love Story” and “The Signals Are Talking: Why Today’s Fringe Is Tomorrow’s Mainstream.” Full bio

Double-click the English transcript below to play the video.

00:12
So my nameime is AmyAmy WebbWebb,
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Dakle, moje ime je Amy Webb,
00:15
and a fewnekoliko yearsgodina agoprije I foundpronađeno myselfsebe at the endkraj
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i prije nekoliko godina sam se našla na kraju
00:17
of yetjoš anotherjoš fantasticfantastičan relationshipodnos
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još jedne fantastične veze
00:20
that camedošao burningspaljivanje down in a spectacularspektakularan fashionmoda.
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koja se raspala na spektakularan način.
00:23
And I thought, you know, what's wrongpogrešno with me?
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I pitala sam se, znate,
što nije u redu sa mnom?
00:26
I don't understandrazumjeti why this keepsčuva happeningdogađa.
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Ne razumijem zašto mi se to stalno događa.
00:28
So I askedpitao everybodysvi in my life
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Tako da sam pitala sve ljude koje znam,
00:30
what they thought.
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što o tome misle?
00:32
I turnedokrenut to my grandmotherbaka,
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Obratila sam se baki,
00:33
who always had plentymnogo of advicesavjet,
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koja je uvijek imala savjeta napretek,
00:36
and she said, "Stop beingbiće so pickyizbirljiva.
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i rekla mi je: "Nemoj biti tako izbirljiva.
00:39
You've got to datedatum around.
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Trebaš ići na spojeve.
00:40
And mostnajviše importantlyvažnije,
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I ono najvažnije,
00:42
truepravi love will find you when you leastnajmanje expectočekivati it."
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prava ljubav naći će te kad ćeš joj se najmanje nadati."
00:46
Now as it turnsokreti out,
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Međutim, ispada kako
00:48
I'm somebodyneko who thinksmisli a lot about datapodaci,
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sam ja osoba koja puno razmišlja o podatcima,
00:50
as you'llvi ćete soonuskoro find.
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što ćete ubrzo i sami vidjeti.
00:52
I am constantlykonstantno swimmingplivanje in numbersbrojevi
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Neprestano plivam u brojkama,
00:55
and formulasformule and chartsljestvice.
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formulama i grafikonima.
00:56
I alsotakođer have a very tight-knitpovezana familyobitelj,
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Osim toga, imam jako povezanu obitelj
00:59
and I'm very, very closeblizu with my sistersestra,
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i vrlo sam bliska sa svojom sestrom.
01:01
and as a resultproizlaziti, I wanted to have
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Kao rezultat svega toga, htjela sam imati
01:02
the sameisti typetip of familyobitelj when I grewrastao up.
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istu takvu obitelj kada odrastem.
01:04
So I'm at the endkraj of this badloše breakupraspad,
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I tako, na kraju sam tog gadnog prekida,
01:06
I'm 30 yearsgodina oldstar,
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imam 30 godina,
01:08
I figurelik I'm probablyvjerojatno going to have
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i shvatim kako ću vjerojatno trebati
01:09
to datedatum somebodyneko for about sixšest monthsmjeseci
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hodati s nekim oko šest mjeseci
01:11
before I'm readyspreman to get monogamousmonogamski
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prije nego budem bila spremna za monogamnu vezu
01:13
and before we can sortvrsta of cohabitatelazovom,
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i prije no što počnemo živjeti zajedno,
01:15
and we have to have that happendogoditi se for a while before we can get engagedzauzet.
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i da će to trebati trajati neko vrijeme
prije nego se zaručimo.
01:18
And if I want to startpočetak havingima childrendjeca by the time I'm 35,
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I ako želim rađati djecu do 35. godine,
01:21
that meantznačilo that I would have had to have been
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to je značilo da sam trebala već
01:23
on my way to marriagebrak fivepet yearsgodina agoprije.
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prije pet godina biti na svom putu prema braku.
01:26
So that wasn'tnije going to work.
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Tako da taj plan neće upaliti.
01:27
If my strategystrategija was to least-expectnajmanje očekujete my way
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Ako je moja strategija bila
ta da se najmanje nadam
01:30
into truepravi love, then the variableVarijabla that I had
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pravoj ljubavi,
onda je varijabla kojom bih se bavila
01:32
to dealdogovor with was serendipitySerendipity.
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bila - slučajno otkriće.
01:34
In shortkratak, I was tryingtežak to figurelik out, well,
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Ukratko, trudila sam se shvatiti
01:36
what's the probabilityvjerojatnost of my findingnalaz MrG.. Right?
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koja je vjerojatnost da pronađem gospodina Pravoga?
01:40
Well, at the time I was livingživot in the cityGrad of PhiladelphiaPhiladelphia,
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U to vrijeme sam živjela u Philadelphiji,
01:42
and it's a bigvelika cityGrad, and I figuredshvaćen,
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koja je veliki grad, i smatrala sam
01:45
in this entirečitav placemjesto, there are lots of possibilitiesmogućnosti.
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da tamo ima mnogo mogućnosti.
01:48
So again, I startedpočeo doing some mathmatematika.
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Tako da sam ponovo počela računati.
01:50
PopulationStanovništvo of PhiladelphiaPhiladelphia: It has 1.5 millionmilijuna people.
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Populacija Philadelpije je 1,5 milijuna ljudi.
01:54
I figurelik about halfpola of that are menmuškarci,
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Pretpostavila sam da su polovica od toga muškarci,
01:55
so that takes the numberbroj down to 750,000.
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tako da se broj smanjuje na 750.000.
01:58
I'm looking for a guy betweenizmeđu the agesdobi of 30 and 36,
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Tražila sam tipa koji ima između 30 i 36 godina,
02:01
whichkoji was only fourčetiri percentposto of the populationpopulacija,
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što je bilo samo četiri posto populacije,
02:04
so now I'm dealingbavljenje with the possibilitymogućnost of 30,000 menmuškarci.
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tako da sam sada baratala s mogućnošću od 30.000 muškaraca.
02:07
I was looking for somebodyneko who was JewishŽidovski,
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Tražila sam nekoga tko je Židov,
02:08
because that's what I am and that was importantvažno to me.
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jer sam i sama Židovka i to mi je bilo bitno.
02:11
That's only 2.3 percentposto of the populationpopulacija.
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To je bilo samo 2,3 posto populacije.
02:13
I figurelik I'm attractedprivukla je to maybe one out of 10
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Pretpostavljala sam da će me privući jedan od desetorice
02:15
of those menmuškarci,
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tih muškaraca,
02:18
and there was no way I was going
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i nije bilo šanse da ću se spetljati
02:20
to dealdogovor with somebodyneko who was an avidlakom golferigrač golfa.
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s nekime tko je entuzijastičan golfer.
02:22
So that basicallyu osnovi meantznačilo there were 35 menmuškarci for me
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To je u osnovi značilo kako za mene postoje 35 muškaraca
02:25
that I could possiblymožda datedatum
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s kojima sam mogla otići na spoj
02:28
in the entirečitav cityGrad of PhiladelphiaPhiladelphia.
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u cijeloj Philadelphiji.
02:32
In the meantimeu međuvremenu, my very largeveliki JewishŽidovski familyobitelj
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U međuvremenu, moja velika židovska obitelj
02:35
was alreadyveć all marriedoženjen and well on theirnjihov way
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sva je već bila poudavana i oženjena
te na dobrom putu
02:38
to havingima lots and lots of childrendjeca,
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da dobiju mnogo djece.
02:40
and I feltosjećala like I was underpod tremendousogroman peerviriti pressurepritisak
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Imala sam osjećaj da sam pod ogromnim pritiskom vršnjaka
02:42
to get my life going alreadyveć.
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da se konačno pokrenem.
02:44
So if I have two possiblemoguće strategiesstrategije at this pointtočka
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Tako da sam u tom trenu imala dvije moguće strategije,
02:46
I'm sortvrsta of figuringfiguring out.
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malo sam razmišljala.
02:47
One, I can take my grandmother'sBaka je advicesavjet
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Prvo, mogu poslušati bakin savjet
02:50
and sortvrsta of least-expectnajmanje očekujete my way
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i najmanje se nadati
02:52
into maybe bumpingbumping into the one
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da ću sresti jednog
02:55
out of 35 possiblemoguće menmuškarci in the entirečitav
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od 35 mogućih muškaraca u cijeloj
02:57
1.5 million-personmilijuna osoba cityGrad of PhiladelphiaPhiladelphia,
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1,5 milijunskoj Philadelphiji,
03:01
or I could try onlinena liniji datingupoznavanje.
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ili bih mogla pokušati pronaći partnera preko interneta.
03:04
Now, I like the ideaideja of onlinena liniji datingupoznavanje,
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Sviđa mi se ideja online datinga,
03:06
because it's predicatedpredicated on an algorithmalgoritam,
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jer se temelji na algoritmu,
03:08
and that's really just a simplejednostavan way of sayingizreka
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što bi drugim riječima značilo
03:10
I've got a problemproblem, I'm going to use some datapodaci,
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da imam problem, uzeti ću neke podatke,
03:12
runtrčanje it throughkroz a systemsistem
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unijeti ih u sustav
03:13
and get to a solutionriješenje.
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i dobiti rješenje.
03:16
So onlinena liniji datingupoznavanje is the seconddrugi mostnajviše popularpopularan way
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Online dating je drugi najpopularniji način
03:18
that people now meetsastati eachsvaki other,
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upoznavanja ljudi,
03:20
but as it turnsokreti out, algorithmsalgoritmi have been around
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no kako se ispostavilo, algoritmi postoje
03:22
for thousandstisuća of yearsgodina in almostskoro everysvaki cultureKultura.
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već tisućama godina u gotovo svakoj kulturi.
03:25
In factčinjenica, in JudaismJudaizam, there were matchmakersmatchmakers
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Zapravo, u judaizmu postoje brakovesci
03:28
a long time agoprije, and thoughiako
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već odavno, i iako
03:29
they didn't have an expliciteksplicitan algorithmalgoritam perpo sese,
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nisu imali neki iznimno jasan algoritam,
03:32
they definitelydefinitivno were runningtrčanje throughkroz formulasformule in theirnjihov headsglave,
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sigurno su imali razne formule u glavi,
03:34
like, is the girldjevojka going to like the boydječak?
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poput - hoće li se djevojci svidjeti mladić?
03:36
Are the familiesobitelji going to get alonguz?
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Hoće li se dvije obitelji dobro slagati?
03:38
What's the rabbiRabin going to say?
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Što će na to reći rabin?
03:39
Are they going to startpočetak havingima childrendjeca right away?
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Hoće li odmah početi raditi na djeci?
03:42
And the matchmakerprovodadžija would sortvrsta of think throughkroz all of this,
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I brakovezac bi razmišljao o svemu ovome,
03:45
put two people togetherzajedno, and that would be the endkraj of it.
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spojio bi dvoje ljudi i to bi bilo to.
03:47
So in my casespis, I thought,
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Tako da sam se u svom slučaju pitala
03:49
well, will datapodaci and an algorithmalgoritam
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hoće li me podaci i algoritam
03:52
leaddovesti me to my PrincePrinc CharmingŠarmantan?
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dovesti do mog princa na bijelom konju?
03:54
So I decidedodlučio to signznak on.
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Zato sam se odlučila priključiti.
03:56
Now, there was one smallmali catchulov.
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No, postojala je mala caka.
03:57
As I'm signingpotpisivanje on to the variousraznovrstan datingupoznavanje websitesweb stranice,
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Dok sam se priključivala raznim internetskim stranicama za veze,
04:00
as it happensdogađa se, I was really, really busyzauzet.
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ispostavilo se da sam vrlo, vrlo zaposlena.
04:02
But that actuallyzapravo wasn'tnije the biggestnajveći problemproblem.
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No to nije bio ni najveći problem.
04:05
The biggestnajveći problemproblem is that I hatemrziti
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Najveći je problem bio što mrzim
04:07
fillingpunjenje out questionnairesupitnika of any kindljubazan,
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ispunjavati bilo kakve upitnike,
04:09
and I certainlysigurno don't like questionnairesupitnika
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a najmanje volim upitnike
04:11
that are like CosmoCosmo quizzeskvizove.
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poput kvizova u časopisu Cosmopolitan.
04:13
So I just copiedkopira and pastedtijesto from my résumiznosé.
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Tako da sam samo copy-pastala svoj životopis.
04:16
(LaughterSmijeh)
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(Smijeh)
04:21
So in the descriptiveopisni partdio up topvrh,
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U dijelu gdje se trebam opisati,
04:24
I said that I was an award-winningnagrada-ljubazan journalistnovinar
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rekla sam kako sam nagrađivana novinarka
04:26
and a futurebudućnost thinkermislilac.
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i vizionarka.
04:28
When I was askedpitao about funzabava activitiesdjelatnost and
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Kada sam trebala navesti kojim se zabavnim aktivnostima bavim
04:30
my idealidealan datedatum, I said monetizationzarade
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i svog idealnog partnera, navela sam monetizaciju
04:33
and fluencytečnost in Japanesejapanski.
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i tečnost u japanskom jeziku.
04:36
I talkedRazgovarao a lot about JavaScriptJavaScript.
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Puno sam govorila o JavaScriptu.
04:38
So obviouslyočito this was not the bestnajbolje way
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Očigledno, to nije bio najbolji način
04:42
to put my mostnajviše sexyseksi footnoga forwardnaprijed.
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da prikažem svoju zavodljivu stranu.
04:45
But the realstvaran failureneuspjeh was that
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No, najveći neuspjeh je bio to
04:47
there were plentymnogo of menmuškarci for me to datedatum.
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što je bilo jako puno muškaraca s kojima sam mogla na spoj.
04:50
These algorithmsalgoritmi had a seamore fullpuni of menmuškarci
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Ti algoritmi uključivali su more muškaraca
04:52
that wanted to take me out on lots of datesdatume. --
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koji su me htjeli izvesti na puno spojeva --
04:55
what turnedokrenut out to be trulyuistinu awfulgrozan datesdatume..
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koji su se ispostavili kao očajni spojevi.
04:59
There was this guy SteveSteve, the I.T. guy.
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Bio je jedan informatičar, Steve.
05:01
The algorithmalgoritam matcheduskladiti us up
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Algoritam nas je spojio
05:03
because we sharePodjeli a love of gadgetsnaprava,
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jer nas oboje zanimaju gadgeti,
05:05
we sharePodjeli a love of mathmatematika and datapodaci and '80s musicglazba,
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matematika, podaci i glazba iz 80ih,
05:09
and so I agreeddogovoren to go out with him.
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i zato sam pristala izaći van s njim.
05:11
So SteveSteve the I.T. guy invitedpozvan me out
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Steve, informatičar, pozvao me na spoj
05:13
to one of Philadelphia'sPhiladelphia white-table-clothbijeli stolnjak,
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u jedan jako skupi philadelphijski restoran,
05:15
extremelykrajnje expensiveskup restaurantsrestorani.
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s bijelim stolnjacima.
05:17
And we wentotišao in, and right off the batšišmiš,
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Ušli smo unutra, i od samog početka,
05:19
our conversationrazgovor really wasn'tnije takinguzimanje flightlet,
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naš razgovor nije išao nikuda,
05:22
but he was orderingnaručivanje a lot of foodhrana.
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no on je naručivao puno hrane.
05:24
In factčinjenica, he didn't even bothersmeta looking at the menuJelovnik.
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Zapravo, nije niti pogledao jelovnik.
05:26
He was orderingnaručivanje multiplevišekratnik appetizerspredjela,
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Naručivao je brojna predjela,
05:28
multiplevišekratnik entrentréeses, for me as well,
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brojna glavna jela, za mene također,
05:31
and suddenlyiznenada there are pileshrpe and pileshrpe of foodhrana on our tablestol,
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i odjednom je na našem stolu bilo brdo hrane,
05:33
alsotakođer lots and lots of bottlesboce of winevino.
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i jako puno boca vina.
05:36
So we're nearingbliži the endkraj of our conversationrazgovor
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Približavali smo se kraju našeg razgovora
05:38
and the endkraj of dinnervečera, and I've decidedodlučio
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i večere, i shvatila sam da
05:39
SteveSteve the I.T. guy and I are really just not meantznačilo for eachsvaki other,
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Steve, informatičar, i ja nismo suđeni jedno drugome
05:42
but we'lldobro partdio waysnačine as friendsprijatelji,
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no da ćemo se rastati kao prijatelji,
05:44
when he getsdobiva up to go to the bathroomkupaonica,
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kada se on uputio u toalet,
05:47
and in the meantimeu međuvremenu the billračun comesdolazi to our tablestol.
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a u međuvremenu je na stol došao račun.
05:50
And listen, I'm a modernmoderan womanžena.
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Slušajte, ja sam moderna žena,
05:53
I am totallypotpuno down with splittingcijepanje the billračun.
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i sasvim mi je prihvatljivo podijeliti račun.
05:56
But then SteveSteve the I.T. guy didn't come back. (GaspingDahtanje)
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No, Steve, informatičar, se nije se vratio. (Uzdasi)
06:00
And that was my entirečitav month'smjesec rentnajam.
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To je bila cijela moja mjesečna stanarina.
06:04
So needlessnepotrebno to say, I was not havingima a good night.
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Ne moram ni reći da se nisam dobro provela.
06:08
So I runtrčanje home, I call my mothermajka, I call my sistersestra,
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Otišla sam kući, nazvala majku i sestru,
06:11
and as I do, at the endkraj of eachsvaki one of these
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i kao što uvijek radim nakon svakog
06:14
terribleužasan, terribleužasan datesdatume.,
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užasnog spoja,
06:16
I regaleObjasnite them with the detailsdetalji.
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zasula ih detaljima.
06:18
And they say to me,
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One su mi odvratile:
06:20
"Stop complaininggunđanje."
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"Prestani se žaliti."
06:22
(LaughterSmijeh)
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(Smijeh)
06:23
"You're just beingbiće too pickyizbirljiva."
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"Jednostavno si preizbirljiva."
06:26
So I said, fine, from here on out
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Rekla sam tada da ću otad
06:28
I'm only going on datesdatume. where I know
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ići na spojeve samo ondje gdje znam
06:29
that there's wi-fiWi-fi, and I'm bringingdonošenje my laptoplaptop.
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da ima wi-fija i da ću sa sobom nositi svoj laptop.
06:31
I'm going to shovegurati it into my bagtorba,
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Ugurat ću ga u torbu,
06:33
and I'm going to have this emaile templatepredložak,
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i imat ću predložak e-pošte,
06:35
and I'm going to fillispuniti it out and collectprikupiti informationinformacija
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popunit ću ga i prikupiti informacije
06:37
on all these differentdrugačiji datapodaci pointsbodova duringza vrijeme the datedatum
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o raznim podatcima koje ću dobiti tijekom spoja
06:40
to provedokazati to everybodysvi that empiricallyempirijski,
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kako bih svima dokazala da su empirijski
06:42
these datesdatume. really are terribleužasan. (LaughterSmijeh)
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ovi spojevi zaista užasni. (Smijeh)
06:44
So I startedpočeo trackingpraćenje things like
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Počela sam pratiti stvari poput
06:46
really stupidglup, awkwardneugodno, sexualseksualan remarksprimjedbe;
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zaista glupih, neugodnih seksualnih primjedbi;
06:49
badloše vocabularyrječnik;
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lošeg vokabulara;
06:51
the numberbroj of timesputa a man forcedprisiljeni me to high-fiveDaj pet him.
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koliko puta me muškarac prisilio da mu dam pet.
06:54
(LaughterSmijeh)
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(Smijeh)
06:56
So I startedpočeo to crunchškripanje some numbersbrojevi,
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Počela sam spajati neke brojke,
07:00
and that alloweddopušteno me to make some correlationskorelacije.
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što mi je omogućilo da izvučem neke korelacije.
07:03
So as it turnsokreti out,
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Ispostavilo se da,
07:06
for some reasonrazlog, menmuškarci who drinkpiće ScotchViski
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iz nekog razloga, muškarci koji piju viski,
07:09
referenceupućivanje kinkykinky sexseks immediatelyodmah.
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odmah aludiraju na pomalo perverzan seks.
07:11
(LaughterSmijeh)
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(Smijeh)
07:13
Well, it turnsokreti out that these
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Ispostavilo se da to
07:16
probablyvjerojatno weren'tnisu badloše guys.
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vjerojatno nisu loši dečki.
07:17
There were just badloše for me.
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Jedino što su loši za mene.
07:19
And as it happensdogađa se, the algorithmsalgoritmi that were settingpostavljanje us up,
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I algoritmi koji su nas spajali
07:23
they weren'tnisu badloše eitherili.
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isto tako nisu bili loši.
07:24
These algorithmsalgoritmi were doing exactlytočno
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Ti su algoritmi radili upravo ono
07:26
what they were designedkonstruiran to do,
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za što su bili i napravljeni,
07:27
whichkoji was to take our user-generatedkorisnik-generiran informationinformacija,
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da prikupe naše podatke,
07:30
in my casespis, my résumiznosé,
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u mom slučaju, moj životopis,
07:32
and matchutakmica it up with other people'snarodno informationinformacija.
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i spoje ih s tuđim podatcima.
07:35
See, the realstvaran problemproblem here is that,
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Vidite, pravi problem je taj što,
07:36
while the algorithmsalgoritmi work just fine,
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iako algoritmi dobro funkcioniraju,
07:38
you and I don't, when confrontedsuočeni
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ti i ja ne funkcioniramo dobro, kada se suočimo
07:40
with blankprazan windowsprozori where we're supposedtrebala
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s praznim prozorčićima gdje bismo trebali
07:42
to inputulazni our informationinformacija onlinena liniji.
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unijeti naše podatke.
07:44
Very fewnekoliko of us have the abilitysposobnost
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Jako malo nas može biti
07:46
to be totallypotpuno and brutallybrutalno honestpošten with ourselvessebe.
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potpuno i brutalno iskreni sami sa sobom.
07:50
The other problemproblem is that these websitesweb stranice are askingtraži us
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Drugi problem je što nam te internetske stranice postavljaju
07:52
questionspitanja like, are you a dogpas personosoba or a catmačka personosoba?
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pitanja poput: "Voliš li pse ili mačke?"
07:55
Do you like horroružas filmsfilmovi or romanceromantika filmsfilmovi?
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"Voliš li horore ili romantične filmove?"
07:58
I'm not looking for a penpero palprijatelju.
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Ne tražim prijatelja za dopisivanje.
08:00
I'm looking for a husbandsuprug. Right?
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Tražim supruga. Dobro?
08:02
So there's a certainsiguran amountiznos of superficialitypovršnost in that datapodaci.
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Tako da su ti podatci prilično površni.
08:05
So I said fine, I've got a newnovi planplan.
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Onda sam si rekla da imam novi plan.
08:08
I'm going to keep usingkoristeći these onlinena liniji datingupoznavanje sitesstranice,
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476154
1998
I dalje ću se služiti tim online dating stranicama,
08:10
but I'm going to treatliječiti them as databasesbaza podataka,
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no koristit ću ih kao baze podataka,
08:12
and ratherradije than waitingčekanje for an algorithmalgoritam to setset me up,
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i umjesto da čekam da me algoritam spoji s nekime,
08:15
I think I'm going to try reverse-engineeringobrnuti inženjering this entirečitav systemsistem.
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pokušat ću cijeli taj sustav podvrgnuti obrnutom inženjeringu.
08:19
So knowingpoznavanje that there was superficialpovršan datapodaci
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Znajući da se koriste površni podaci
08:22
that was beingbiće used to matchutakmica me up with other people,
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kako bi me se spojilo s drugim ljudima,
08:24
I decidedodlučio insteadumjesto to askpitati my ownvlastiti questionspitanja.
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odlučila sam da umjesto toga sama postavljam pitanja.
08:27
What was everysvaki singlesingl possiblemoguće thing
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Koje su to sve bile stvari
08:28
that I could think of that I was looking for in a matemat u šahu?
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kojih sam se mogla sjetiti da su mi bitne za mog partnera?
08:31
So I startedpočeo writingpisanje and writingpisanje and writingpisanje,
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Počela sam pisati i pisati i pisati,
08:36
and at the endkraj, I had amassedenormno
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i na kraju sam prikupila
08:38
72 differentdrugačiji datapodaci pointsbodova.
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72 različita podatka.
08:41
I wanted somebodyneko was JewŽidov...ishish,
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2406
Htjela sam nekoga tko je Židov,
08:43
so I was looking for somebodyneko who had the sameisti
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tražila sam nekoga tko ima isto
08:45
backgroundpozadina and thoughtsmisli on our cultureKultura,
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podrijetlo i poglede na našu kulturu,
08:47
but wasn'tnije going to forcesila me to go to shulŽeljka
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1573
ali me neće tjerati da idem u sinagogu
08:49
everysvaki FridayPetak and SaturdaySubota.
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svaki petak i subotu.
08:51
I wanted somebodyneko who workedradio hardteško,
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1590
Htjela sam nekoga tko puno radi,
08:53
because work for me is extremelykrajnje importantvažno,
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jer mi je rad iznimno bitan,
08:55
but not too hardteško.
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no da ne radi previše.
08:56
For me, the hobbiesHobiji that I have
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Za mene su moji hobiji
08:58
are really just newnovi work projectsprojekti that I've launchedpokrenut.
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zapravo novi projekti koje sam pokrenula.
09:01
I alsotakođer wanted somebodyneko who not only wanted two childrendjeca,
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Također sam htjela nekoga tko ne samo da želi imati dvoje djece,
09:04
but was going to have the sameisti attitudestav towardprema parentingroditeljstvo that I do,
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nego će imati i isti pristup odgoju kao i ja.
09:07
so somebodyneko who was going to be totallypotpuno okay
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dakle, netko kome će biti sasvim uredu
09:09
with forcingforsiranje our childdijete to startpočetak takinguzimanje pianoklavir lessonslekcije at agedob threetri,
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siliti našu djecu da idu na satove klavira u dobi od tri godine,
09:12
and alsotakođer maybe computerračunalo scienceznanost classesklase
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a možda i informatku
09:16
if we could wranglesvađa it.
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ako je uspijemo ugurati.
09:18
So things like that, but I alsotakođer wanted somebodyneko
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Takve neke stvari, no htjela sam i nekoga
09:20
who would go to far-flungDalek, exoticegzotične placesmjesta,
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tko bi išao na udaljena, egzotična mjesta,
09:22
like PetraPetra, JordanJordan.
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poput Petre u Jordanu.
09:23
I alsotakođer wanted somebodyneko who would weighvagati
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Htjela sam nekoga tko teži
09:25
20 poundsfunti more than me at all timesputa,
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10 kilograma više od mene u svakom trenutku,
09:27
regardlessbez obzira na of what I weighedtežio je.
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bez obzira koliko sam ja teška.
09:28
(LaughterSmijeh)
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(Smijeh)
09:31
So I now have these 72 differentdrugačiji datapodaci pointsbodova,
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Tako sam imala ta 72 različita podatka,
09:34
whichkoji, to be fairfer, is a lot.
235
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što je zaista puno.
09:36
So what I did was, I wentotišao throughkroz
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Prošla sam kroz taj popis
09:37
and I prioritizedprioritet that listpopis.
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i birala prioritete.
09:39
I brokerazbio it into a topvrh tierred and a seconddrugi tierred of pointsbodova,
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Podijelila sam ih u glavni, gornji razred i drugi razred bodova,
09:43
and I rankedrangiran everything startingpolazeći at 100
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i sve sam rangirala počevši od 100
09:46
and going all the way down to 91,
240
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1980
sve do 91,
09:48
and listingpopis things like I was looking for somebodyneko who was really smartpametan,
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i navodeći stvari poput toga da tražim nekoga jako pametnog,
09:51
who would challengeizazov and stimulatestimulirati me,
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1712
tko će me izazivati i poticati,
09:53
and balancingbalansiranje that with a seconddrugi tierred
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i uspoređivala to s drugim razredom
09:55
and a seconddrugi setset of pointsbodova.
244
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2025
i drugom skupinom bodova.
09:57
These things were alsotakođer importantvažno to me
245
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1405
Te su mi stvari također bile bitne,
09:59
but not necessarilyobavezno deal-breakersnositi-prekidači.
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no nisu bile presudne.
10:04
So oncejednom I had all this doneučinio,
247
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1421
Kad sam to sve napravila,
10:05
I then builtizgrađen a scoringbodovanje systemsistem,
248
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1809
sastavila sam sustav ocjenjivanja,
10:07
because what I wanted to do
249
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2623
budući da sam htjela
10:09
was to sortvrsta of mathematicallymatematički calculateizračunati
250
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1850
matematički izračunati
10:11
whetherda li or not I thought the guy that I foundpronađeno onlinena liniji
251
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bi li neki tip kojeg pronađem na internetu
10:14
would be a matchutakmica with me.
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bio moj par ili ne.
10:15
I figuredshvaćen there would be a minimumminimum of 700 pointsbodova
253
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Shvatila sam kako bi trebao imati najmanje 700 bodova
10:18
before I would agreesložiti to emaile somebodyneko
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prije nego bih pristala poslati mu e-poštu
10:19
or respondodgovarati to an emaile messageporuka.
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ili odgovoriti na njegovu e-poštu.
10:21
For 900 pointsbodova, I'd agreesložiti to go out on a datedatum,
256
609812
2002
Za 900 bodova pristala bih otići na spoj,
10:23
and I wouldn'tne bi even considerrazmotriti any kindljubazan of relationshipodnos
257
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2681
a ne bih ni pomišljala na bilo kakvu vezu
10:26
before somebodyneko had crossedprešao the 1,500 pointtočka thresholdprag.
258
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4188
prije no što itko prođe prag od 1.500 bodova.
10:30
Well, as it turnsokreti out, this workedradio prettyprilično well.
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Ispostavilo se da je to jako dobro funkcioniralo.
10:33
So I go back onlinena liniji now.
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Vratila sam se na Internet.
10:35
I foundpronađeno JewishdocJewishdoc57
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Pronašla sam osobu Jewishdoc57
10:38
who'stko je incrediblynevjerojatno good-lookingzgodan, incrediblynevjerojatno well-spokenlijepo govori,
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koji je nevjerojatno zgodan i nevjerojatno rječit,
10:41
he had hikedzakvačio jedna okomita MtMt. FujiFuji,
263
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1718
popeo se na planinu Fuji,
10:42
he had walkedhodao alonguz the Great WallZid.
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1742
prošetao se po Kineskom zidu.
10:44
He likessviđa to travelputovati as long as it doesn't involveobuhvatiti a cruisekrstarenje shipbrod.
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Voli putovati sve dok to ne uključuje kruzer.
10:47
And I thought, I've doneučinio it!
266
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2738
I pomislila sam: "Uspjela sam!"
10:50
I've crackednapuknut the codekodirati.
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"Razbila sam šifru!"
10:52
I have just foundpronađeno the JewishŽidovski PrincePrinc CharmingŠarmantan
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"Pronašla sam židovskog princa na bijelom konju
10:56
of my family'sobitelj dreamssnovi.
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o kojem je moja obitelj sanjala."
10:58
There was only one problemproblem:
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2156
Postojao je samo jedan problem:
11:00
He didn't like me back.
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Nisam mu se sviđala.
11:03
And I guessnagađati the one variableVarijabla that I haven'tnisu consideredsmatra
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Jedina varijabla koju nisam bila uzela u obzir
11:06
is the competitionkonkurencija.
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je konkurencija.
11:08
Who are all of the other womenžene
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Tko su sve ostale žene
11:10
on these datingupoznavanje sitesstranice?
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na tim internetskim stranicama?
11:12
I foundpronađeno SmileyGirlSmileyGirl1978.
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Pronašla sam SmileyGirl1978.
11:16
She said she was a "funzabava girldjevojka who is HappySretan and OutgoingIzlazni."
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Rekla je da je "zabavna djevojka, koja je sretna i otvorena."
11:19
She listedpopisu her jobposao as teacheručitelj, nastavnik, profesor.
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1442
Navela je da je učiteljica i
11:20
She said she is "sillyglup, nicelijepo and friendlyprijateljski."
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da je "luckasta, draga i srdačna."
11:23
She likessviđa to make people laughsmijeh "alotpuno."
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"Jako" voli nasmijavati ljude.
11:25
At this momenttrenutak I knewznao, clickingklikom after profileProfil
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U tom sam trenutku znala, klikajući profil
11:28
after profileProfil after profileProfil that lookedgledao like this,
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za profilom koji su izgledali ovako,
11:30
that I neededpotreban to do some markettržište researchistraživanje.
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da trebam provesti istraživanje tržišta.
11:32
So I createdstvorio 10 fakelažan malemuški profilesprofili.
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Stvorila sam 10 lažnih muških profila.
11:35
Now, before I loseizgubiti all of you --
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Prije nego vas sve izgubim --
11:38
(LaughterSmijeh) --
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1753
(Smijeh) --
11:40
understandrazumjeti that I did this
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znajte da sam to učinila
11:44
strictlystrogo to gatherokupiti datapodaci
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samo da prikupim podatke
11:46
about everybodysvi elsedrugo in the systemsistem.
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o svima ostalima u tom sustavu.
11:47
I didn't carrynositi on crazylud Catfish-styleSom-stil relationshipsodnosa with anybodyiko.
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4195
Nisam se s nikim upuštala u sulude veze s lažnim identitetom.
11:52
I really was just scrapingstruganje theirnjihov datapodaci.
291
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2013
Zaista sam samo prikupljala njihove podatke.
11:54
But I didn't want everybody'ssvatko je datapodaci.
292
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1968
No, nisam htjela svačije podatke.
11:56
I only wanted datapodaci on the womenžene
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Htjela sam samo podatke onih žena
11:58
who were going to be attractedprivukla je
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koje će privući
11:59
to the typetip of man that I really, really wanted to marryoženiti. (LaughterSmijeh)
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tip muškarca za kojeg bih se ja vrlo rado udala. (Smijeh)
12:02
When I releasedoslobođen these menmuškarci into the wilddivlji,
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3595
Kada sam pustila te "muškarce" u divljinu,
12:06
I did followslijediti some rulespravila.
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poštivala sam neka pravila.
12:07
So I didn't reachdohvatiti out to any womanžena first.
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Nisam prva prilazila niti jednoj ženi.
12:09
I just waitedčekao to see who these profilesprofili were going to attractprivući,
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Samo sam čekala da vidim koga će ti profili privući,
12:12
and mainlyuglavnom what I was looking at was two differentdrugačiji datapodaci setssetovi.
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a najviše sam promatrala dvije različite skupine podatake.
12:16
So I was looking at qualitativekvalitativne datapodaci,
301
724134
1538
Gledala sam kvalitativne podatke,
12:17
so what was the humorhumor, the toneton,
302
725672
1949
poput humora, tona,
12:19
the voiceglas, the communicationkomunikacija stylestil
303
727621
1562
glasa, stila komunikacije
12:21
that these womenžene sharedpodijeljen in commonzajednička?
304
729183
1850
koje su te žene dijelile.
12:23
And alsotakođer quantitativekvantitativan datapodaci,
305
731033
1283
Ali i kvantitativne podatke,
12:24
so what was the averageprosječan lengthdužina of theirnjihov profileProfil,
306
732316
2338
poput prosječe duljine njihovog profila,
12:26
how much time was spentpotrošen betweenizmeđu messagesporuke?
307
734654
2235
koliko je vremena prošlo između dopisivanja?
12:28
What I was tryingtežak to get at here was
308
736889
1681
Ono što sam htjela ovdje dobiti je
12:30
that I figuredshvaćen in personosoba,
309
738570
1925
da i sama
12:32
I would be just as competitivekonkurentan
310
740495
1410
budem jednako konkurentna
12:33
as a SmileyGirlSmileyGirl1978.
311
741905
2065
kao i SmileyGirl1978.
12:35
I wanted to figurelik out how to maximizebi se povećala
312
743970
1900
Htjela sam vidjeti kako da poboljšam
12:37
my ownvlastiti profileProfil onlinena liniji.
313
745870
2940
svoj vlastiti online profil.
12:40
Well, one monthmjesec laterkasnije,
314
748810
1727
Dakle, nakon mjesec dana,
12:42
I had a lot of datapodaci, and I was ableu stanju to do anotherjoš analysisanaliza.
315
750537
3753
imala sam puno podataka i mogla sam napraviti drugu analizu.
12:46
And as it turnsokreti out, contentsadržaj matterspitanja a lot.
316
754290
2880
Ispostavilo se da je sadržaj jako bitan.
12:49
So smartpametan people tendskloni to writepisati a lot --
317
757170
2706
Pametni ljudi imaju naviku puno pisati --
12:51
3,000, 4,000,
318
759876
1875
3.000, 4.000,
12:53
5,000 wordsriječi about themselvesse,
319
761751
1743
5.000 riječi o sebi,
12:55
whichkoji maysvibanj all be very, very interestingzanimljiv.
320
763494
2146
što može biti jako zanimljivo.
12:57
The challengeizazov here, thoughiako, is that
321
765640
1352
No, ovdje je izazov to što se
12:58
the popularpopularan menmuškarci and womenžene
322
766992
1182
popularni muškarci i žene
13:00
are stickinglijepljenje to 97 wordsriječi on averageprosječan
323
768174
3772
u prosjeku drže 97 riječi
13:03
that are writtennapisan very, very well,
324
771946
1722
koje su jako dobro napisane,
13:05
even thoughiako it maysvibanj not seemčiniti se like it all the time.
325
773668
2890
iako se to možda ne čini uvijek tako.
13:08
The other sortvrsta of hallmarkzaštitni znak of the people who do this well
326
776558
2149
Druga značajka ljudi koji ovo rade dobro
13:10
is that they're usingkoristeći non-specificnespecifično languagejezik.
327
778707
2153
je što ne koriste konkretan jezik.
13:12
So in my casespis, you know,
328
780860
1290
U mom slučaju,
13:14
"The Englishengleski PatientPacijent" is my mostnajviše favoriteljubimac moviefilm ever,
329
782150
3198
moj omiljeni film je "Engleski pacijent"
13:17
but it doesn't work to use that in a profileProfil,
330
785348
3809
no, ne koristi ako to spomenem u profilu,
13:21
because that's a superficialpovršan datapodaci pointtočka,
331
789157
1741
jer je to površan podatak
13:22
and somebodyneko maysvibanj disagreene slagati se with me
332
790914
1542
i netko se ne bi se trebao složiti sa mnom
13:24
and decideodlučiti they don't want to go out with me
333
792456
1215
i odlučiti da ne žele izaći sa mnom
13:25
because they didn't like sittingsjedenje throughkroz the three-hour3-4 sata moviefilm.
334
793671
2699
jer im se nije svidjelo sjediti tri sata gledajući taj film.
13:28
AlsoTakođer, optimisticoptimističan languagejezik matterspitanja a lot.
335
796370
2240
Osim toga, optimističan jezik je jako bitan.
13:30
So this is a wordriječ cloudoblak
336
798610
1436
Ovo je oblak s riječima
13:32
highlightingisticanje the mostnajviše popularpopularan wordsriječi that were used
337
800046
2460
koji pokazuje najpopularnije riječi koje su koristile
13:34
by the mostnajviše popularpopularan womenžene,
338
802506
1632
najpopularnije žene,
13:36
wordsriječi like "funzabava" and "girldjevojka" and "love."
339
804138
2575
poput: "zabava", "cura" i "ljubav".
13:38
And what I realizedshvatio was not that I had
340
806713
2111
Shvatila sam kako ne trebam
13:40
to dumbglup down my ownvlastiti profileProfil.
341
808824
1568
učiniti svoj profil glupljim.
13:42
RememberSjećam se, I'm somebodyneko who said
342
810392
1532
Sjetite se, ja sam osoba
13:43
that I speakgovoriti fluenttečno govori Japanesejapanski and I know JavaScriptJavaScript
343
811924
3043
koja tečno govori japanski i poznajem JavaScript
13:46
and I was okay with that.
344
814967
1594
i to mi je bilo ok.
13:48
The differencerazlika is that it's about beingbiće more approachablepristupačan
345
816561
2717
Razlika je ta što se tu radi o tome kako biti pristupačniji
13:51
and helpingpomoć people understandrazumjeti
346
819278
2155
i kako pomoći ljudima da shvate
13:53
the bestnajbolje way to reachdohvatiti out to you.
347
821433
1612
koji je najbolji način da ti se obrate.
13:55
And as it turnsokreti out, timingvrijeme is alsotakođer really, really importantvažno.
348
823045
2922
Ispostavilo se i da je vrijeme također jako bitno.
13:57
Just because you have accesspristup
349
825967
1650
Samo zato što imate pristup
13:59
to somebody'snetko je mobilemobilni phonetelefon numberbroj
350
827617
1744
nečijem broju mobitela
14:01
or theirnjihov instanttrenutak messageporuka accountračun
351
829361
1756
ili njihovom računu instant poruka,
14:03
and it's 2 o'clocksati in the morningjutro and you happendogoditi se to be awakebudan,
352
831117
2407
i dva su sata ujutro, a vi ste nekim slučajem budni,
14:05
doesn't mean that that's a good time to communicatekomunicirati with those people.
353
833524
3189
ne znači da je to dobar trenutak da komunicirate s tim ljudima.
14:08
The popularpopularan womenžene on these onlinena liniji sitesstranice
354
836713
2649
Popularne žene na ovim internetskim stranicama
14:11
spendprovesti an averageprosječan of 23 hourssati
355
839362
1838
u prosjeku imaju pauzu od 23 sata
14:13
in betweenizmeđu eachsvaki communicationkomunikacija.
356
841200
2376
između svake komunikacije.
14:15
And that's what we would normallynormalno do
357
843576
1931
To je ono što bismo i inače radili
14:17
in the usualuobičajen processpostupak of courtshipudvaranje.
358
845507
2064
u uobičajenom procesu udvaranja.
14:19
And finallykonačno, there were the photosfotografije.
359
847571
3405
I konačno, tu su i fotografije.
14:22
All of the womenžene who were popularpopularan
360
850976
1833
Sve popularne žene bile su
14:24
showedpokazala some skinkoža.
361
852809
1625
odjevene otvorenije.
14:26
They all lookedgledao really great,
362
854434
2012
Sve su izgledale zaista odlično,
14:28
whichkoji turnedokrenut out to be in sharpoštar contrastkontrast
363
856446
2778
što je bila velika razlika
14:31
to what I had uploadedupload.
364
859224
3293
od moje fotografije.
14:34
OnceJednom I had all of this informationinformacija,
365
862517
1640
Sad kad sam imala sve te informacije,
14:36
I was ableu stanju to createstvoriti a supersuper profileProfil,
366
864157
2344
mogla sam napraviti super profil,
14:38
so it was still me,
367
866501
1874
tako da sam to i dalje bila ja,
14:40
but it was me optimizedoptimizirano now for this ecosystemekosustav.
368
868375
3909
no, sada optimizirana za taj ekosustav.
14:44
And as it turnsokreti out, I did a really good jobposao.
369
872284
4850
I ispostavilo se da sam napravila zaista dobar posao.
14:49
I was the mostnajviše popularpopularan personosoba onlinena liniji.
370
877134
3056
Bila sam najpopularija osoba na Internetu.
14:52
(LaughterSmijeh)
371
880190
2519
(Smijeh)
14:54
(ApplausePljesak)
372
882709
4214
(Pljesak)
14:58
And as it turnsokreti out, lots and lots of menmuškarci wanted to datedatum me.
373
886923
3487
I mnogo je muškaraca htjelo na spoj sa mnom.
15:02
So I call my mommama, I call my sistersestra, I call my grandmotherbaka.
374
890410
2406
I tako nazovem svoju majku, sestru i baku.
15:04
I'm tellingreći them about this fabulousnevjerojatan newsvijesti,
375
892816
1831
Govorim im o tim sjajnim vijestima,
15:06
and they say, "This is wonderfulpredivan!
376
894647
1869
a one kažu: "To je prekrasno!
15:08
How soonuskoro are you going out?"
377
896516
2117
Kada ćeš na spoj?"
15:10
And I said, "Well, actuallyzapravo, I'm not going to go out with anybodyiko."
378
898633
2439
A ja im odgovaram: "Pa, zapravo, neću ni sa kim na spoj."
15:13
Because rememberzapamtiti, in my scoringbodovanje systemsistem,
379
901072
1937
Jer, sjetite se, po mojem sustavu ocjenjivanja
15:15
they have to reachdohvatiti a minimumminimum thresholdprag of 700 pointsbodova,
380
903009
2334
moraju prijeći prag od minimalno 700 bodova,
15:17
and nonenijedan of them have doneučinio that.
381
905343
2310
a nijednome to nije uspjelo.
15:19
They said, "What? You're still beingbiće too damnproklet pickyizbirljiva."
382
907653
2778
One odgovaraju: "Što? Još uvijek si previše izbirljiva."
15:22
Well, not too long after that,
383
910431
1657
Nedugo nakon toga,
15:24
I foundpronađeno this guy, TheveninTHEVENIN,
384
912088
2202
upoznala sam jednog čovjeka, Thevenina,
15:26
and he said that he was culturallykulturno JewishŽidovski,
385
914290
2470
koji je rekao da je kulturološki Židov,
15:28
he said that his jobposao was an arcticArktik babydijete sealpečat hunterlovac,
386
916760
3020
da je po profesiji lovac na bebe arktičkih tuljana,
15:31
whichkoji I thought was very cleverpametan.
387
919780
2564
što sam smatrala domišljatim.
15:34
He talkedRazgovarao in detaildetalj about travelputovati.
388
922344
2877
Detaljno je govorio o putovanjima.
15:37
He madenapravljen a lot of really interestingzanimljiv culturalkulturni referencesreference.
389
925221
2313
Imao je dosta zanimljivih kulturnih referenci.
15:39
He lookedgledao and talkedRazgovarao exactlytočno like what I wanted,
390
927534
3018
Izgledao je i govorio upravo kako sam htjela,
15:42
and immediatelyodmah, he scoredpostigao 850 pointsbodova.
391
930552
3211
i odmah je dobio 850 bodova.
15:45
It was enoughdovoljno for a datedatum.
392
933763
1761
To je bilo dovoljno za spoj.
15:47
ThreeTri weeksTjedni laterkasnije, we metsastali up in personosoba
393
935524
2116
Tri tjedna kasnije našli smo se uživo
15:49
for what turnedokrenut out to be a 14-hour-long-sat vremena conversationrazgovor
394
937640
3358
na razgovoru koji je trajao 14 sati,
15:52
that wentotišao from coffeekava shopdućan to restaurantrestoran
395
940998
2065
i koji je vodio od kafića do restorana
15:55
to anotherjoš coffeekava shopdućan to anotherjoš restaurantrestoran,
396
943063
2333
do drugog kafića do drugog restorana
15:57
and when he droppedpao me back off at my housekuća that night
397
945396
1913
i kada me je te večeri odbacio do moje kuće
15:59
I re-scoredponovno je postigao him --
398
947309
1539
ponovo sam ga ocijenila --
16:00
[1,050 pointsbodova!] --
399
948848
1253
1.050 bodova! --
16:02
thought, you know what,
400
950101
1386
iako, znate što?
16:03
this entirečitav time I haven'tnisu been pickyizbirljiva enoughdovoljno.
401
951487
3085
Cijelo to vrijeme nisam bila dovoljno izbirljiva.
16:06
Well, a yeargodina and a halfpola after that,
402
954572
1632
Godinu i pol dana poslije,
16:08
we were non-cruisekrstarenje shipbrod travelingputujući
403
956204
2922
putovali smo (ne kruzerom),
16:11
throughkroz PetraPetra, JordanJordan,
404
959126
2085
kroz Petru u Jordanu,
16:13
when he got down on his kneekoljeno and proposedzaprosio.
405
961211
3201
kada je kleknuo na koljeno i zaprosio me.
16:16
A yeargodina after that, we were marriedoženjen,
406
964412
2771
Godinu nakon toga, bili smo vjenčani,
16:19
and about a yeargodina and a halfpola after that, our daughterkći,
407
967183
2408
a godinu i pol nakon toga, rodila se
16:21
PetraPetra, was bornrođen.
408
969591
1800
naša kći Petra.
16:23
(ApplausePljesak)
409
971391
7380
(Pljesak)
16:30
ObviouslyOčito, I'm havingima a fabulousnevjerojatan life, so --
410
978771
2319
Očito je da imam fantastičan život, tako da --
16:33
(LaughterSmijeh) --
411
981090
1428
(Smijeh) --
16:34
the questionpitanje is, what does all of this mean for you?
412
982518
2628
pitanje je, što sve ovo znači vama?
16:37
Well, as it turnsokreti out, there is an algorithmalgoritam for love.
413
985146
3848
Izgleda da postoji algoritam za ljubav.
16:40
It's just not the onesone that we're beingbiće presentedpredstavili with onlinena liniji.
414
988994
3696
Jedino što to nisu oni koji su nam predstavljeni na Internetu.
16:44
In factčinjenica, it's something that you writepisati yourselfsami.
415
992690
2236
Zapravo, to je nešto što sami pišete.
16:46
So whetherda li you're looking for a husbandsuprug or a wifežena
416
994926
2251
Tako da, bilo da tražite supruga ili suprugu
16:49
or you're tryingtežak to find your passionstrast
417
997177
2062
ili pokušavate pronaći svoju strast
16:51
or you're tryingtežak to startpočetak a businessPoslovni,
418
999239
1474
ili pokušavate pokrenuti posao,
16:52
all you have to really do is figurelik out your ownvlastiti frameworkokvir
419
1000713
3057
sve što trebate napraviti je da osmislite svoj vlastiti okvir
16:55
and playigrati by your ownvlastiti rulespravila,
420
1003770
1917
i da igrate po vlastitim pravilima,
16:57
and feel freebesplatno to be as pickyizbirljiva as you want.
421
1005687
2640
i slobodno budite izbirljivi koliko želite.
17:00
Well, on my weddingvjenčanje day,
422
1008327
1460
Na dan mog vjenčanja,
17:01
I had a conversationrazgovor again with my grandmotherbaka,
423
1009787
1906
ponovo sam pričala sa svojom bakom,
17:03
and she said, "All right, maybe I was wrongpogrešno.
424
1011693
2797
i rekla mi je, "U redu. Možda sam bila u krivu.
17:06
It looksizgled like you did come up with
425
1014490
1283
Izgleda da si ipak osmislila
17:07
a really, really great systemsistem.
426
1015773
2016
jako, jako dobar sustav.
17:09
Now, your matzohmatzoh ballsjaja.
427
1017789
2935
No, što se tiče tvojih knedli,
17:12
They should be fluffymekani, not hardteško."
428
1020724
3131
trebale bi biti mekane, a ne tvrde."
17:15
And I'll take her advicesavjet on that.
429
1023855
1552
I poslušat ću taj njezin savjet.
17:17
(ApplausePljesak)
430
1025407
4602
(Pljesak)
Translated by Maja Covic
Reviewed by Mislav Ante Omazić - EFZG

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ABOUT THE SPEAKER
Amy Webb - Founder and CEO, Future Today Institute
Amy Webb is a futurist and founder of the Future Today Institute, and is the award-winning author of three books, including “Data: A Love Story” and “The Signals Are Talking: Why Today’s Fringe Is Tomorrow’s Mainstream.”

Why you should listen

Amy Webb uses data to understand the present and future of humanity, a practice she first developed as a journalist for the Wall Street Journal and Newsweek and has continued as a futurist. She is the head of the Future Today Institute, which researches collisions between technology, society and business — and maps scenarios that are on the horizon. She was named to the Thinkers50 Radar list of the 30 management thinkers most likely to shape the future of how organizations are managed and led.

Webb is on the adjunct faculty at the NYU Stern School of Business, where she teaches a popular MBA-level course on futures forecasting. She is the author of The Signals Are Talking, Why Today’s Fringe Is Tomorrow’s Mainstream, which has become the standard text on futures forecasting and explains how to predict and manage technological change. Her book Data: A Love Story tells the tale of how she gamed the online dating system to figure out how to find the love of her life.

More profile about the speaker
Amy Webb | Speaker | TED.com

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