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)

關於 TEDTalks 的謊言與統計數據

Filmed:
2,510,120 views

在這份絕妙且充滿幽默的分析裡,Sebastian Wernicke 將統計分析應用在 TEDTalk 裡,根據聽眾所做的評比,發展出一套可製作出最好的 TEDTalk 的工具。你會怎麼評價這個演說呢?「驚訝得合不攏嘴?」「毫無根據?」還是只是純粹「有趣」而已?
- 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 website網站,
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若你上 TED 的網站,
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you can currently目前 find there
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你會看到
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over a full充分 week of TEDTalkTED演講 videos視頻,
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超過一整星期的 TEDTalk 影片,
00:24
over 1.3 million百萬
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超過13億字
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words of transcripts成績單
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的字幕。
00:28
and millions百萬 of user用戶 ratings評級.
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還有百萬以上的使用者評比,
00:30
And that's a huge巨大 amount of data數據.
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資料量很龐大。
00:33
And it got me wondering想知道:
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所以我在想,
00:35
If you took all this data數據
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如果你把這些資料
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and put it through通過 statistical統計 analysis分析,
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進行統計分析,
00:39
could you reverse相反 engineer工程師 a TEDTalkTED演講?
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你可不可能反向製作出一個 TEDTalk?
00:41
Could you create創建
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還是你可以創造出
00:43
the ultimate最終 TEDTalkTED演講?
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一個「最棒的」TEDTalk?
00:45
(Laughter笑聲) (Applause掌聲)
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(掌聲)
00:47
And also, could you create創建
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還是說,你可以製作出
00:49
the worst最差 possible可能 TEDTalkTED演講
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一個最爛的 TEDTalk,
00:51
that they would still let you get away with?
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而且還可以全身而退?
00:53
To find this out, I looked看著 at three things:
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為了找到解答,我選擇三個層面來分析。
00:55
I looked看著 at the topic話題 that you should choose選擇,
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我先看該選什麼當做演說的標題,
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I looked看著 at how you should deliver交付 it
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再來看看在台上該怎麼表達,
01:00
and the visuals視覺效果 onstage在舞台上.
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以及該使用什麼視覺輔助。
01:02
Now, with the topic話題: There's a whole整個 range範圍 of topics主題 you can choose選擇,
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先來說標題,你可以選的標題範圍很廣,
01:05
but you should choose選擇 wisely明智,
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但你應該謹慎地選擇,
01:07
because your topic話題 strongly非常 correlates相關因素
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因為你所選定的標題,
01:09
with how users用戶 will react應對 to your talk.
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將會嚴重影響聽眾對你演說的反應。
01:12
Now, to make this more concrete具體,
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為了讓你更明白一點,
01:14
let's look at the list名單 of top最佳 10 words
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讓我們先來看看篩選出來的前十名最佳字句,
01:17
that statistically統計學 stick out
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這是統計分析的結果,
01:19
in the most favorite喜愛 TEDTalksTED演講
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是分別從聽眾最喜愛的 TEDTalk,
01:21
and in the least最小 favorite喜愛 TEDTalksTED演講.
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和聽眾最不喜愛的 TEDTalk 中所篩選出來的。
01:24
So if you came來了 here
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所以,如果你到這兒來,
01:26
to talk about how French法國 coffee咖啡
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發表一個主題是「法國咖啡如何
01:28
will spread傳播 happiness幸福 in our brains大腦,
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在我們的大腦裡傳播快樂」的演說,
01:31
that's a go.
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那就對了!
01:33
(Laughter笑聲) (Applause掌聲)
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(掌聲)
01:35
Whereas, if you wanted to talk about
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但是,如果你的主題
01:37
your project項目 involving涉及
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是敘述你所從事的專案計畫,
01:39
oxygen, girls女孩, aircraft飛機 --
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內容與氧氣、女孩、飛機等字眼有關,
01:41
actually其實, I would like to hear that talk, (Laughter笑聲)
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我個人其實還滿想聽這種演說的,
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but statistics統計 say it's not so good.
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但統計數據卻告訴我們這不夠吸引人。
01:45
Oh, well.
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嗯, 好。
01:47
If you generalize概括 this,
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如果我們廣泛地推論,
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the most favorite喜愛 TEDTalksTED演講 are those
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最受歡迎的 TEDTalk 所談論的主題,
01:51
that feature特徵 topics主題 we can connect with,
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是聽眾容易與之產生共鳴的,
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both easily容易 and deeply,
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既簡單而又深入,
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such這樣 as happiness幸福, our own擁有 body身體,
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像是快樂、我們的身體、
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food餐飲, emotions情緒.
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食物和情緒等。
02:00
And the more technical技術 topics主題,
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而比較技術性的主題,
02:02
such這樣 as architecture建築, materials物料 and, strangely奇怪 enough足夠, men男人,
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像是建築、材料、還有 – 這非常的奇怪 – 男人,
02:05
those are not good topics主題 to talk about.
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這些就不是那麼受歡迎的主題。
02:08
How should you deliver交付 your talk?
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該怎麼進行演說呢?
02:10
TEDTED is famous著名 for keeping保持
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TED 最負盛名的是
02:12
a very sharp尖銳 eye on the clock時鐘,
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對演說者時間的嚴格掌控,
02:14
so they're going to hate討厭 me
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所以他們會很討厭我告訴你們這一點,
02:16
for revealing揭示 this, because, actually其實,
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因為根據統計,
02:18
you should talk as long as they will let you. (Laughter笑聲)
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你應該在他們允取你的時間範圍內,說得愈長愈好,
02:20
Because the most favorite喜愛 TEDTalksTED演講
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因為最受歡迎的 TEDTalk,
02:23
are, on average平均, over 50 percent百分 longer
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平均比最不受歡迎的演說,
02:25
than the least最小 favorite喜愛 ones那些.
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時間長上一半。
02:28
And this holds持有 true真正 for all ranking排行 lists名單 on TEDTED.comCOM
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這是 TED.com 的排行榜告訴我們的事實,
02:30
except if you want to have a talk
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除非你的演說是
02:32
that's beautiful美麗, inspiring鼓舞人心 or funny滑稽.
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優美的、具啟發性的或是有趣的,
02:34
Then, you should be brief簡要. (Laughter笑聲) But other than that,
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那麼,你應該簡潔些。不然的話,
02:36
talk until直到 they drag拖動 you off the stage階段.
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你應該一直說到他們要把你拖下台為止。
02:39
(Laughter笑聲)
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(笑聲)
02:41
Now, while ...
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嗯,好..
02:43
(Applause掌聲)
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(掌聲)
02:49
While you're pushing推動 the clock時鐘, there's a few少數 rules規則 to obey遵守.
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在你爭取更多演說時間的同時,還有幾項規則要遵守。
02:52
I found發現 these rules規則 out by comparing比較 the statistics統計
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我會發現這些規則,
02:54
of four-word四字 phrases短語
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是因為我統計了演說中所出現的辭句,
02:56
that appear出現 more often經常 in the most favorite喜愛 TEDTalksTED演講
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看看哪些在最受歡迎的 TEDTalk 中較常出現,
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as opposed反對 to the least最小 favorite喜愛 TEDTalksTED演講.
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哪些又在最不受歡迎的 TEDTalk 中出現。
03:01
I'll give you three examples例子.
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我會舉三個例子說明。
03:03
First of all, I must必須, as a speaker揚聲器,
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首先,身為一個演說者,
03:05
provide提供 a service服務 to the audience聽眾 and talk about what I will give you,
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我必須提供我所知道的資訊給聽眾,
03:08
instead代替 of saying what I can't have.
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而不是告訴聽眾我不知道什麼。
03:10
Secondly其次, it's imperative勢在必行
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第二,要記住
03:12
that you do not cite引用 The New York紐約 Times.
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不要引用紐約時報的報導。
03:14
(Laughter笑聲)
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(笑聲)
03:16
And finally最後, it's okay for the speaker揚聲器 -- that's the good news新聞 --
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最後,我要告訴你們一個好消息,
03:19
to fake intellectual知識分子 capacity容量.
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要學會不懂裝懂。
03:21
If I don't understand理解 something, I can just say, "etc等等., etc等等."
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如果不瞭解某件事,就用「諸如此類...」來矇混過去。
03:24
You'll你會 all stay with me.
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你們都知道我在說什麼吧!
03:26
It's perfectly完美 fine.
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這樣很好啊!
03:28
(Applause掌聲)
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(掌聲)
03:32
Now, let's go to the visuals視覺效果.
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現在我們來談談視覺輔助。
03:34
The most obvious明顯 visual視覺 thing on stage階段 is the speaker揚聲器.
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在講台上最醒目的視覺標的應該就是演說者了。
03:37
And analysis分析 shows節目 if you want to be
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統計分析顯示,若你想成為
03:39
among其中 the most favorite喜愛 TEDTED speakers音箱,
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最受歡迎的 TED 演說者,
03:41
you should let your hair頭髮 grow增長 a little bit longer than average平均,
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你應該把頭髮留得比一般人長一點,
03:44
make sure you wear穿 your glasses眼鏡 and be slightly more dressed-up打扮
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記得戴上眼鏡,然後穿得比一般 TED 演說者
03:47
than the average平均 TEDTED speaker揚聲器.
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再正式一點,
03:49
Slides幻燈片 are okay, though雖然 you might威力 consider考慮 going for props道具.
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投影片可以用,但如果能有道具輔助會更好。
03:52
And now the most important重要 thing,
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然而,最重要的事是
03:54
that is the mood心情 onstage在舞台上.
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講台上的氣氛。
03:56
Color顏色 plays播放 a very important重要 role角色.
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色彩佔有很重要的地位,
03:58
Color顏色 closely密切 correlates相關因素
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你選用的色彩會決定
04:00
with the ratings評級 that talks會談 get on the website網站.
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你在網路上的評價
04:03
(Applause掌聲)
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(掌聲)
04:05
For example, fascinating迷人 talks會談
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舉例來說,被評價為「引人入勝」的 TEDTalk
04:07
contain包含 a statistically統計學 high amount
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都大量使用
04:09
of exactly究竟 this blue藍色 color顏色, (Laughter笑聲)
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這種藍色,
04:11
much more than the average平均 TEDTalkTED演講.
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使用頻率比一般的 TEDTalk 高得多。
04:13
Ingenious巧妙 TEDTalksTED演講, much more this green綠色 color顏色,
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被評價為「機智」的演說多是這種綠色,
04:15
etc等等., et.
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諸如此類...
04:17
(Laughter笑聲) (Applause掌聲)
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(掌聲)
04:24
Now, personally親自, I think
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我個人覺得,
04:26
I'm not the first one who has doneDONE this analysis分析,
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我應該不是第一個做這種分析的人,
04:28
but I'll leave離開 this
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但這留給你們
04:30
to your good judgment判斷.
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自己判斷吧!
04:33
So, now it's time to put it all together一起
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現在該是我們把所有東西拼湊在一起
04:35
and design設計 the ultimate最終 TEDTalkTED演講.
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製作出最棒的 TEDTalk 的時候了。
04:37
Now, since以來 this is TEDActiveTEDActive,
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由於這是 TEDActive,
04:39
and I learned學到了 from my analysis分析
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從我研究的統計資料裡,
04:41
that I should actually其實 give you something,
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我知道我該給你們一些實際的東西,
04:43
I will not impose強加 the ultimate最終
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我不會強迫你們做出最棒的
04:45
or worst最差 TEDTalkTED演講 on you,
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或是最爛的 TEDTalk,
04:47
but rather give you a tool工具 to create創建 your own擁有.
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但我會給你們一套工具讓你們製作出自己的演說。
04:49
And I call this tool工具 the TEDPadTEDPad.
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我把這個工具命名為 TED Pad。
04:52
(Laughter笑聲)
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(笑聲)
04:55
And the TEDPadTEDPad is a matrix矩陣
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TED Pad 內含有
04:57
of 100 specifically特別 selected,
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100 組精選語句,
04:59
highly高度 curated策劃 sentences句子
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你可以善加組合,
05:02
that you can easily容易 piece together一起 to get your own擁有 TEDTalkTED演講.
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製作出你自己的 TEDTalk。
05:07
You only have to make one decision決定,
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你所要做的決定只有一個,
05:09
and that is: Are you going to use the white白色 version
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那就是:你是要使用白色的版本
05:11
for very good TEDTalksTED演講,
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來製作出優質的 TEDTalk,
05:13
about creativity創造力, human人的 genius天才?
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內容關於創造力、人類的才華?
05:15
Or are you going to go with a black黑色 version,
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還是你想要選用黑色的版本?
05:17
which哪一個 will allow允許 you to create創建 really bad TEDTalksTED演講,
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那讓你可以製作出超爛的 TEDTalk,
05:19
mostly大多 about blogs博客,
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內容大部分涵蓋部落格
05:21
politics政治 and stuff東東?
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還有政治這些玩意兒。
05:23
So, download下載 it and have fun開玩笑 with it.
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現在就下載,好好玩一玩吧!
05:25
Now I hope希望 you enjoy請享用 the session會議.
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希望你們喜歡我的演說。
05:28
I hope希望 you enjoy請享用 designing設計 your own擁有
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也希望你們喜歡自己製作出來的
05:30
ultimate最終 and worst最差 possible可能 TEDTalksTED演講.
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最棒及最爛的 TEDTalk。
05:32
And I hope希望 some of you will be inspired啟發 for next下一個 year
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也希望你們之中有人會受到啟發,
05:35
to create創建 this, which哪一個 I really want to see.
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明年可以站在台上,我真的很期待你們的演說。
05:38
Thank you very much.
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謝謝你們。
05:40
(Applause掌聲) Thanks謝謝.
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(掌聲)
Translated by Marie Wu
Reviewed by Bill Hsiung

▲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

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