ABOUT THE SPEAKER
Sebastian Wernicke - Data scientist
After making a splash in the field of bioinformatics, Sebastian Wernicke moved on to the corporate sphere, where he motivates and manages multidimensional projects.

Why you should listen

Dr. Sebastian Wernicke is the Chief Data Scientist of ONE LOGIC, a data science boutique that supports organizations across industries to make sense of their vast data collections to improve operations and gain strategic advantages. Wernicke originally studied bioinformatics and previously led the strategy and growth of Seven Bridges Genomics, a Cambridge-based startup that builds platforms for genetic analysis.

Before his career in statistics began, Wernicke worked stints as both a paramedic and successful short animated filmmaker. He's also the author of the TEDPad app, an irreverent tool for creating an infinite number of "amazing and really bad" and mostly completely meaningless talks. He's the author of the statistically authoritative and yet completely ridiculous "How to Give the Perfect TEDTalk."

More profile about the speaker
Sebastian Wernicke | Speaker | TED.com
TED2010

Sebastian Wernicke: Lies, damned lies and statistics (about TEDTalks)

Laži, preklete laži in statistika (o TED Talks)

Filmed:
2,510,120 views

V tej sijajni šaljivi analizi Sebastian Wernicke s pomočjo orodij za statistično analizo ustvari sistem merjenja, s katerim se na podlagi ocen gledalcev da narediti najboljši TED Talk vseh časov. Kako naj ga ocenimo? Neverjeten? Neprepričljiv? Ali preprosto smešen?
- Data scientist
After making a splash in the field of bioinformatics, Sebastian Wernicke moved on to the corporate sphere, where he motivates and manages multidimensional projects. Full bio

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

00:16
If you go on the TEDTED websitespletno stran,
0
1000
3000
Če obiščete stran TED.com,
00:19
you can currentlytrenutno find there
1
4000
2000
lahko tam trenutno najdete
00:21
over a fullpolno weekteden of TEDTalkTEDTalk videosvideo posnetke,
2
6000
3000
za več kot en teden videoposnetkov TEDTalks,
00:24
over 1.3 millionmilijonov
3
9000
2000
več kot 1,3 milijona
00:26
wordsbesede of transcriptsprepisi
4
11000
2000
transkribiranih besed
00:28
and millionsmilijoni of useruporabnik ratingsocene.
5
13000
2000
in na milijone ocen gledalcev.
00:30
And that's a hugeogromno amountznesek of datapodatkov.
6
15000
3000
Ogromne količine podatkov.
00:33
And it got me wonderingsprašujem se:
7
18000
2000
Zato sem se začel spraševati,
00:35
If you tookvzel all this datapodatkov
8
20000
2000
kaj se zgodi, če se te
00:37
and put it throughskozi statisticalstatistično analysisanaliza,
9
22000
2000
podatke statistično analizira.
00:39
could you reverseobratno engineerinženir a TEDTalkTEDTalk?
10
24000
2000
Je na podlagi tega mogoče vzvratno sestaviti TED Talk?
00:41
Could you createustvarite
11
26000
2000
Se da na ta način ustvariti najboljši
00:43
the ultimatekončni TEDTalkTEDTalk?
12
28000
2000
TED Talk vseh časov?
00:45
(LaughterSmeh) (ApplauseAplavz)
13
30000
2000
(Aplavz)
00:47
And alsotudi, could you createustvarite
14
32000
2000
In ali se na drugi strani
00:49
the worstnajhujše possiblemogoče TEDTalkTEDTalk
15
34000
2000
da ustvariti najslabši TED Talk,
00:51
that they would still let you get away with?
16
36000
2000
ki bo še vedno gledljiv?
00:53
To find this out, I lookedpogledal at threetri things:
17
38000
2000
Da bi temu prišel do dna, sem preverjal tri stvari.
00:55
I lookedpogledal at the topictemo that you should chooseizberite,
18
40000
2000
Pogledal sem izbrane teme,
00:57
I lookedpogledal at how you should deliverdostavi it
19
42000
3000
način podajanja teh vsebin
01:00
and the visualsOptika onstagena odru.
20
45000
2000
in vizualne pripomočke na odru.
01:02
Now, with the topictemo: There's a wholeceloto rangerazpon of topicsteme you can chooseizberite,
21
47000
3000
Glede tematike - obstaja cela vrsta vsebin, med katerimi
01:05
but you should chooseizberite wiselypametno,
22
50000
2000
toda pri tem morate biti previdni,
01:07
because your topictemo stronglymočno correlateskorelacije
23
52000
2000
kajti vaš izbor je močno povezan
01:09
with how usersuporabniki will reactreagirati to your talk.
24
54000
3000
z reakcijo gledalcev na vaš govor.
01:12
Now, to make this more concretebeton,
25
57000
2000
Da si boste to lažje predstavljali,
01:14
let's look at the listseznam of topna vrh 10 wordsbesede
26
59000
3000
si poglejmo seznam 10 besed,
01:17
that statisticallystatistično stickpalico out
27
62000
2000
ki se statistično največkrat pojavljajo
01:19
in the mostnajbolj favoritenajljubši TEDTalksTEDTalks
28
64000
2000
v najbolj priljubljenih
01:21
and in the leastvsaj favoritenajljubši TEDTalksTEDTalks.
29
66000
3000
in v najmanj priljubljenih govorih.
01:24
So if you cameprišel here
30
69000
2000
Torej, če boste govorili o tem,
01:26
to talk about how Frenchfrancoščina coffeekava
31
71000
2000
kako francoska kava širi
01:28
will spreadširjenje happinesssreča in our brainsmožgani,
32
73000
3000
srečo v vaših možganih,
01:31
that's a go.
33
76000
2000
je to zadetek v polno.
01:33
(LaughterSmeh) (ApplauseAplavz)
34
78000
2000
(Aplavz)
01:35
WhereasKer, if you wanted to talk about
35
80000
2000
Če pa bi radi govorili o
01:37
your projectprojekt involvingvključujejo
36
82000
2000
vašem projektu, ki vključuje
01:39
oxygenkisik, girlsdekleta, aircraftletala --
37
84000
2000
kisik, dekleta, letala --
01:41
actuallydejansko, I would like to hearslišite that talk, (LaughterSmeh)
38
86000
2000
čeprav bi jaz pravzaprav z veseljem poslušal ta govor --
01:43
but statisticsstatistiko say it's not so good.
39
88000
2000
statistika pravi,
01:45
Oh, well.
40
90000
2000
da ni dober. Bo že.
01:47
If you generalizegeneralizirati this,
41
92000
2000
Če to posplošimo,
01:49
the mostnajbolj favoritenajljubši TEDTalksTEDTalks are those
42
94000
2000
so najbolj priljubljeni govori tisti,
01:51
that featurefunkcija topicsteme we can connectpovezati with,
43
96000
3000
ki vključujejo teme, s katerimi se lahko povežemo
01:54
bothoboje easilyenostavno and deeplygloboko,
44
99000
2000
hitro in močno,
01:56
suchtako as happinesssreča, our ownlastno bodytelo,
45
101000
2000
kot so sreča, naše telo,
01:58
foodhrano, emotionsčustev.
46
103000
2000
hrana, čustva.
02:00
And the more technicaltehnično topicsteme,
47
105000
2000
Na drugi strani pa teme bolj tehnične narave
02:02
suchtako as architecturearhitektura, materialsmaterialov and, strangelyčudno enoughdovolj, menmoški,
48
107000
3000
kot so arhitektura, materiali in začuda, moški,
02:05
those are not good topicsteme to talk about.
49
110000
3000
niso preveč dobra izbira.
02:08
How should you deliverdostavi your talk?
50
113000
2000
In kakšen mora biti vaš nastop?
02:10
TEDTED is famousslavni for keepingvzdrževanje
51
115000
2000
TED je znan po tem, da se zelo
02:12
a very sharpostro eyeoči on the clockura,
52
117000
2000
drži časovne omejitve,
02:14
so they're going to hatesovraštvo me
53
119000
2000
zato jim ne bo všeč,
02:16
for revealingrazkrivajo this, because, actuallydejansko,
54
121000
2000
ko bom to razkril, kajti
02:18
you should talk as long as they will let you. (LaughterSmeh)
55
123000
2000
govoriti morate, dokler vam bodo pustili,
02:20
Because the mostnajbolj favoritenajljubši TEDTalksTEDTalks
56
125000
3000
saj so najbolj priljubljeni TED Talks
02:23
are, on averagepovprečje, over 50 percentodstotkov longerdlje
57
128000
2000
v povprečju za 50 % daljši
02:25
than the leastvsaj favoritenajljubši onestiste.
58
130000
2000
od najmanj priljubljenih.
02:28
And this holdsdrži trueresnično for all rankingrazvrstitev listsseznami on TEDTED.comcom
59
133000
2000
In to velja za vse lestvice priljubljenosti na TED.com,
02:30
exceptrazen if you want to have a talk
60
135000
2000
razen, če želite, da je vaš posnetek ocenjen kot
02:32
that's beautifullepo, inspiringnavdihujoče or funnysmešno.
61
137000
2000
čudovit, navdihujoč ali smešen.
02:34
Then, you should be briefkratko. (LaughterSmeh) But other than that,
62
139000
2000
Potem morate biti kratki. Drugače pa
02:36
talk untildo they dragpovlecite you off the stagestopnja.
63
141000
3000
morate govoriti, dokler vas ne zvlečejo z odra.
02:39
(LaughterSmeh)
64
144000
2000
(Smeh)
02:41
Now, while ...
65
146000
2000
No, medtem ko --
02:43
(ApplauseAplavz)
66
148000
6000
(Aplavz)
02:49
While you're pushingpotiskanje the clockura, there's a fewmalo rulespravila to obeyubogati.
67
154000
3000
Medtem ko zavlačujete, pa morate upoštevati določena pravila,
02:52
I foundnajdemo these rulespravila out by comparingprimerjava the statisticsstatistiko
68
157000
2000
ki sem jih odkril s statistično primerjavo
02:54
of four-wordštiri-beseda phrasesbesedne zveze
69
159000
2000
štiribesednih fraz,
02:56
that appearPojavi se more oftenpogosto in the mostnajbolj favoritenajljubši TEDTalksTEDTalks
70
161000
3000
ki se pogosteje pojavljajo v najbolj priljubljenih TED Talks
02:59
as opposednasprotuje to the leastvsaj favoritenajljubši TEDTalksTEDTalks.
71
164000
2000
v nasprotju z najmanj priljubljenimi.
03:01
I'll give you threetri examplesprimeri.
72
166000
2000
Naj predstavim tri primere:
03:03
First of all, I mustmoraš, as a speakergovornik,
73
168000
2000
Prvič, kot govornik morate
03:05
providezagotoviti a servicestoritev to the audienceobčinstvo and talk about what I will give you,
74
170000
3000
občinstvu nekaj ponuditi, govoriti o tem, kaj mu lahko daste,
03:08
insteadnamesto tega of sayinggovoriti what I can't have.
75
173000
2000
namesto o tem, česar ne morete imeti.
03:10
SecondlyDrugič, it's imperativenujno
76
175000
2000
Drugič, niti pod razno
03:12
that you do not citecitirati The NewNove YorkYork TimesKrat.
77
177000
2000
ne smete citirati New York Timesa.
03:14
(LaughterSmeh)
78
179000
2000
(Smeh)
03:16
And finallykončno, it's okay for the speakergovornik -- that's the good newsnovice --
79
181000
3000
In nazadnje še dobra novica za govorce,
03:19
to fakeponaredek intellectualintelektualca capacityzmogljivost.
80
184000
2000
nič ni narobe, če simulirate intelektualne sposobnosti.
03:21
If I don't understandrazumeti something, I can just say, "etcitd., etcitd."
81
186000
3000
Če česa ne razumete, lahko vedno rečete "in tako dalje in tako naprej".
03:24
You'llBoste all stayostani with me.
82
189000
2000
Vsi vas bodo še naprej pozorno poslušali.
03:26
It's perfectlypopolnoma fine.
83
191000
2000
Je popolnoma v redu.
03:28
(ApplauseAplavz)
84
193000
4000
(Aplavz)
03:32
Now, let's go to the visualsOptika.
85
197000
2000
Tako, sedaj pa še nekaj o vizualnih pripomočkih.
03:34
The mostnajbolj obviousočitno visualvizualno thing on stagestopnja is the speakergovornik.
86
199000
3000
Najočitnejša stvar na odru je govornik.
03:37
And analysisanaliza showskaže if you want to be
87
202000
2000
Analize so pokazale, da morate,
03:39
amongmed the mostnajbolj favoritenajljubši TEDTED speakerszvočniki,
88
204000
2000
če želite biti med najbolj priljubljenimi TED predavatelji,
03:41
you should let your hairlasje growrastejo a little bitbit longerdlje than averagepovprečje,
89
206000
3000
imeti lase za malenkost daljše od povprečja,
03:44
make sure you wearobrabo your glassesočala and be slightlymalce more dressed-upoblečene vplačani
90
209000
3000
nositi očala in biti za spoznanje bolj elegantno oblečeni kot
03:47
than the averagepovprečje TEDTED speakergovornik.
91
212000
2000
povprečni govornik.
03:49
SlidesDiapozitivi are okay, thoughčeprav you mightmorda considerrazmislite going for propsrekviziti.
92
214000
3000
Prezentacija je v redu, vendar je dobro vključiti tudi kakšne pripomočke.
03:52
And now the mostnajbolj importantpomembno thing,
93
217000
2000
In najbolj pomembna stvar
03:54
that is the moodrazpoloženje onstagena odru.
94
219000
2000
je atmosfera na odru.
03:56
ColorBarva playsigra a very importantpomembno rolevloga.
95
221000
2000
Barve igrajo zelo pomembno vlogo.
03:58
ColorBarva closelytesno correlateskorelacije
96
223000
2000
Barva je v neposredni povezavi z
04:00
with the ratingsocene that talkspogovori get on the websitespletno stran.
97
225000
3000
ocenami, ki jih posnetki prejmejo na strani TED.com.
04:03
(ApplauseAplavz)
98
228000
2000
(Aplavz)
04:05
For exampleprimer, fascinatingfascinantno talkspogovori
99
230000
2000
Na primer: očarljivi govori
04:07
containvsebujejo a statisticallystatistično highvisoko amountznesek
100
232000
2000
statistično vsebujejo visok delež
04:09
of exactlytočno this bluemodra colorbarva, (LaughterSmeh)
101
234000
2000
natanko te modre barve,
04:11
much more than the averagepovprečje TEDTalkTEDTalk.
102
236000
2000
veliko več kot povprečno ocenjen TED Talk.
04:13
IngeniousIznajdljiv TEDTalksTEDTalks, much more this greenzelena colorbarva,
103
238000
2000
Domiselni so obarvani s to zeleno barvo
04:15
etcitd., etet.
104
240000
2000
in tako dalje in tako naprej.
04:17
(LaughterSmeh) (ApplauseAplavz)
105
242000
7000
(Aplavz)
04:24
Now, personallyosebno, I think
106
249000
2000
Torej, osebno mislim, da
04:26
I'm not the first one who has doneKončano this analysisanaliza,
107
251000
2000
nisem prvi, ki je naredil takšno analizo,
04:28
but I'll leavedopust this
108
253000
2000
ampak to bom prepustil
04:30
to your good judgmentobsodba.
109
255000
3000
vaši dobri presojji.
04:33
So, now it's time to put it all togetherskupaj
110
258000
2000
Sedaj je prišel čas, da vse podatke združimo in
04:35
and designoblikovanje the ultimatekončni TEDTalkTEDTalk.
111
260000
2000
ustvarimo najboljši TED Talk vseh časov.
04:37
Now, sinceod this is TEDActiveTEDActive,
112
262000
2000
Ker smo danes na TED Active,
04:39
and I learnednaučili from my analysisanaliza
113
264000
2000
in ker sem se iz lastnih analiz naučil,
04:41
that I should actuallydejansko give you something,
114
266000
2000
da vam moram dejansko nekaj ponuditi --
04:43
I will not imposenaloži the ultimatekončni
115
268000
2000
ne bom vam vsiljeval najboljšega
04:45
or worstnajhujše TEDTalkTEDTalk on you,
116
270000
2000
ali najslabšega posnetka --
04:47
but ratherprecej give you a toolorodje to createustvarite your ownlastno.
117
272000
2000
ampak vam bom raje dal orodje, s katerim si ga lahko naredite sami.
04:49
And I call this toolorodje the TEDPadTEDPad.
118
274000
3000
In to orodje bom poimenoval TED Pad.
04:52
(LaughterSmeh)
119
277000
3000
(Smeh)
04:55
And the TEDPadTEDPad is a matrixmatrika
120
280000
2000
TED Pad je matrika,
04:57
of 100 specificallyposebej selectedizbran,
121
282000
2000
100 posebej izbranih,
04:59
highlyvisoko curatedkustosinja sentenceskazni
122
284000
3000
podrobno obdelanih stavkov,
05:02
that you can easilyenostavno piecekos togetherskupaj to get your ownlastno TEDTalkTEDTalk.
123
287000
3000
ki jih lahko na enostaven način sestavite skupaj in ustvarite svoj TED Talk.
05:07
You only have to make one decisionodločitev,
124
292000
2000
Odločiti se morate samo,
05:09
and that is: Are you going to use the whitebela versionrazličico
125
294000
2000
ali boste uporabili belo verzijo
05:11
for very good TEDTalksTEDTalks,
126
296000
2000
za zelo dober TED Talk
05:13
about creativityustvarjalnost, humančlovek geniusgenij?
127
298000
2000
o ustvarjalnosti, človeški inteligenci?
05:15
Or are you going to go with a blackčrna versionrazličico,
128
300000
2000
Ali boste raje vzeli črno različico,
05:17
whichki will allowdovolite you to createustvarite really badslab TEDTalksTEDTalks,
129
302000
2000
s pomočjo katere boste ustvarili resnično slab TED Talk,
05:19
mostlyvečinoma about blogsblogi,
130
304000
2000
večinoma o blogih,
05:21
politicspolitiko and stuffstvari?
131
306000
2000
politiki in podobnih stvareh?
05:23
So, downloadprenesi it and have funzabavno with it.
132
308000
2000
Naložite si ga na svoj računalnik in se zabavajte.
05:25
Now I hopeupanje you enjoyuživajte the sessionseja.
133
310000
3000
Upam, da ste v predavanju uživali.
05:28
I hopeupanje you enjoyuživajte designingoblikovanje your ownlastno
134
313000
2000
In da boste uživali tudi pri ustvarjanju svojih
05:30
ultimatekončni and worstnajhujše possiblemogoče TEDTalksTEDTalks.
135
315000
2000
najboljših in najslabših govorov.
05:32
And I hopeupanje some of you will be inspirednavdihnjen for nextNaslednji yearleto
136
317000
3000
In upam, da bo kdo izmed vas dobil navdih in naslednje leto
05:35
to createustvarite this, whichki I really want to see.
137
320000
3000
ustvaril to, kar si zares želim videti.
05:38
Thank you very much.
138
323000
2000
Najlepša hvala.
05:40
(ApplauseAplavz) Thankshvala.
139
325000
10000
(Aplavz)
Translated by Evridika Cuder
Reviewed by Matej Divjak

▲Back to top

ABOUT THE SPEAKER
Sebastian Wernicke - Data scientist
After making a splash in the field of bioinformatics, Sebastian Wernicke moved on to the corporate sphere, where he motivates and manages multidimensional projects.

Why you should listen

Dr. Sebastian Wernicke is the Chief Data Scientist of ONE LOGIC, a data science boutique that supports organizations across industries to make sense of their vast data collections to improve operations and gain strategic advantages. Wernicke originally studied bioinformatics and previously led the strategy and growth of Seven Bridges Genomics, a Cambridge-based startup that builds platforms for genetic analysis.

Before his career in statistics began, Wernicke worked stints as both a paramedic and successful short animated filmmaker. He's also the author of the TEDPad app, an irreverent tool for creating an infinite number of "amazing and really bad" and mostly completely meaningless talks. He's the author of the statistically authoritative and yet completely ridiculous "How to Give the Perfect TEDTalk."

More profile about the speaker
Sebastian Wernicke | Speaker | TED.com

Data provided by TED.

This site was created in May 2015 and the last update was on January 12, 2020. It will no longer be updated.

We are currently creating a new site called "eng.lish.video" and would be grateful if you could access it.

If you have any questions or suggestions, please feel free to write comments in your language on the contact form.

Privacy Policy

Developer's Blog

Buy Me A Coffee