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)

谎言,(关于TEDTalks的)超级谎言和统计数据

Filmed:
2,510,120 views

通过这个精彩而颇为搞怪的分析,Sebatian Wernicke把统计分析工具应用到了历来TED的讲座,提出了其余用户评分的一种创造”最优的TED讲座“的体系。你会如何给他评分呢?会觉得无比惊奇?或是缺乏说服力?还是玩的就是搞笑呢?
- 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网站,
0
1000
3000
如果你去TED的网站
00:19
you can currently目前 find there
1
4000
2000
你会发现
00:21
over a full充分 week of TEDTalkTED演讲 videos视频,
2
6000
3000
整整一周TED讲座的视频
00:24
over 1.3 million百万
3
9000
2000
超过一百三十万字
00:26
words of transcripts成绩单
4
11000
2000
的讲稿
00:28
and millions百万 of user用户 ratings评级.
5
13000
2000
以及数以百万计的用户评分
00:30
And that's a huge巨大 amount of data数据.
6
15000
3000
那么,这可以说是海量的数据
00:33
And it got me wondering想知道:
7
18000
2000
于是我就开始思考
00:35
If you took all this data数据
8
20000
2000
如果我们对这些数据
00:37
and put it through通过 statistical统计 analysis分析,
9
22000
2000
进行统计分析
00:39
could you reverse相反 engineer工程师 a TEDTalkTED演讲?
10
24000
2000
有没有可能通过逆向工程制作出一个TED演讲?
00:41
Could you create创建
11
26000
2000
我们能不能创造出
00:43
the ultimate最终 TEDTalkTED演讲?
12
28000
2000
所谓的终极TED演讲?
00:45
(Laughter笑声) (Applause掌声)
13
30000
2000
(掌声)
00:47
And also, could you create创建
14
32000
2000
此外,我们能不能创造出
00:49
the worst最差 possible可能 TEDTalkTED演讲
15
34000
2000
最烂的TED演讲
00:51
that they would still let you get away with?
16
36000
2000
并能侥幸逃脱?
00:53
To find this out, I looked看着 at three things:
17
38000
2000
为了得到答案,我关注了三个方面
00:55
I looked看着 at the topic话题 that you should choose选择,
18
40000
2000
我看了看应该选择什么样的命题
00:57
I looked看着 at how you should deliver交付 it
19
42000
3000
还看了要用怎样的方式将这个演讲传达给观众
01:00
and the visuals视觉效果 onstage在舞台上.
20
45000
2000
以及你的视觉辅助工具
01:02
Now, with the topic话题: There's a whole整个 range范围 of topics主题 you can choose选择,
21
47000
3000
你可以选择的命题范围很广,
01:05
but you should choose选择 wisely明智,
22
50000
2000
但是你要很明智的去选
01:07
because your topic话题 strongly非常 correlates相关因素
23
52000
2000
因为你选择的题目
01:09
with how users用户 will react应对 to your talk.
24
54000
3000
将紧密关系到观众很如何看待你的演讲
01:12
Now, to make this more concrete具体,
25
57000
2000
更具体一点的说
01:14
let's look at the list名单 of top最佳 10 words
26
59000
3000
让我们一起来关注
01:17
that statistically统计学 stick out
27
62000
2000
在最热门以及最冷门的TED讲座中
01:19
in the most favorite喜爱 TEDTalksTED演讲
28
64000
2000
有突出统计数据的——
01:21
and in the least最小 favorite喜爱 TEDTalksTED演讲.
29
66000
3000
十大经典词汇
01:24
So if you came来了 here
30
69000
2000
所以说如果
01:26
to talk about how French法国 coffee咖啡
31
71000
2000
你想谈论法式咖啡
01:28
will spread传播 happiness幸福 in our brains大脑,
32
73000
3000
能如何在我们头脑中散播快乐的话
01:31
that's a go.
33
76000
2000
这绝对是个好题目
01:33
(Laughter笑声) (Applause掌声)
34
78000
2000
(掌声)
01:35
Whereas, if you wanted to talk about
35
80000
2000
但是,如果你想谈论
01:37
your project项目 involving涉及
36
82000
2000
一个有关
01:39
oxygen, girls女孩, aircraft飞机 --
37
84000
2000
氧气、女生、飞行器之类的项目
01:41
actually其实, I would like to hear that talk, (Laughter笑声)
38
86000
2000
其实我还挺想听这个演讲的
01:43
but statistics统计 say it's not so good.
39
88000
2000
但从统计数据上来看,它就很一般般
01:45
Oh, well.
40
90000
2000
所以呢
01:47
If you generalize概括 this,
41
92000
2000
如果你延伸这一想法
01:49
the most favorite喜爱 TEDTalksTED演讲 are those
42
94000
2000
最热门的TED演讲是
01:51
that feature特征 topics主题 we can connect with,
43
96000
3000
那些能令观众产生共鸣的,
01:54
both easily容易 and deeply,
44
99000
2000
既简单易懂,而又意味深远的话题
01:56
such这样 as happiness幸福, our own拥有 body身体,
45
101000
2000
譬如:幸福,我们自己的肢体
01:58
food餐饮, emotions情绪.
46
103000
2000
食物,情感
02:00
And the more technical技术 topics主题,
47
105000
2000
然而,相对技术性的题目
02:02
such这样 as architecture建筑, materials物料 and, strangely奇怪 enough足够, men男人,
48
107000
3000
比如说,建筑,材料,和令人奇怪的关于男人的讨论。
02:05
those are not good topics主题 to talk about.
49
110000
3000
这些并不是很受欢迎的主题
02:08
How should you deliver交付 your talk?
50
113000
2000
那我们应该如何去做演讲呢?
02:10
TEDTED is famous著名 for keeping保持
51
115000
2000
TED有一点很擅长
02:12
a very sharp尖锐 eye on the clock时钟,
52
117000
2000
那就是卡时间
02:14
so they're going to hate讨厌 me
53
119000
2000
我的以下言论
02:16
for revealing揭示 this, because, actually其实,
54
121000
2000
可能会让他们对我很不爽
02:18
you should talk as long as they will let you. (Laughter笑声)
55
123000
2000
因为其实呢,你应该在允许范围内尽可能的多讲
02:20
Because the most favorite喜爱 TEDTalksTED演讲
56
125000
3000
原因是:最受欢迎的那些TED演讲
02:23
are, on average平均, over 50 percent百分 longer
57
128000
2000
长度平均比最不受欢迎的演讲
02:25
than the least最小 favorite喜爱 ones那些.
58
130000
2000
要长百分之五十
02:28
And this holds持有 true真正 for all ranking排行 lists名单 on TEDTED.comCOM
59
133000
2000
这适用于大多TED.com的榜上的讲座
02:30
except if you want to have a talk
60
135000
2000
除非你的讲座被列为
02:32
that's beautiful美丽, inspiring鼓舞人心 or funny滑稽.
61
137000
2000
唯美,励志或是风趣
02:34
Then, you should be brief简要. (Laughter笑声) But other than that,
62
139000
2000
这样的话你应该比较简短。但除此之外,
02:36
talk until直到 they drag拖动 you off the stage阶段.
63
141000
3000
一直讲到他们把你拖下讲台为止
02:39
(Laughter笑声)
64
144000
2000
(笑声)
02:41
Now, while ...
65
146000
2000
现在呢
02:43
(Applause掌声)
66
148000
6000
(掌声)
02:49
While you're pushing推动 the clock时钟, there's a few少数 rules规则 to obey遵守.
67
154000
3000
当你卡着表漫谈的时候,你要遵守几条规矩
02:52
I found发现 these rules规则 out by comparing比较 the statistics统计
68
157000
2000
我是通过
02:54
of four-word四字 phrases短语
69
159000
2000
对最受欢迎和最不受欢迎的TED演讲中经常出现的“四字短语”
02:56
that appear出现 more often经常 in the most favorite喜爱 TEDTalksTED演讲
70
161000
3000
的数据进行比较
02:59
as opposed反对 to the least最小 favorite喜爱 TEDTalksTED演讲.
71
164000
2000
而得出的结论
03:01
I'll give you three examples例子.
72
166000
2000
我在这里讲三个例子
03:03
First of all, I must必须, as a speaker扬声器,
73
168000
2000
首先,作为一个讲演者,我必须
03:05
provide提供 a service服务 to the audience听众 and talk about what I will give you,
74
170000
3000
为观众提供一种服务,介绍我所能提供的信息
03:08
instead代替 of saying what I can't have.
75
173000
2000
而不是一味提我不能提供的
03:10
Secondly其次, it's imperative势在必行
76
175000
2000
此外
03:12
that you do not cite引用 The New York纽约 Times.
77
177000
2000
避免引用纽约时报是很有必要的
03:14
(Laughter笑声)
78
179000
2000
(笑声)
03:16
And finally最后, it's okay for the speaker扬声器 -- that's the good news新闻 --
79
181000
3000
最后呢,这是好消息:
03:19
to fake intellectual知识分子 capacity容量.
80
184000
2000
演讲人是可以适度伪装博学的
03:21
If I don't understand理解 something, I can just say, "etc等等., etc等等."
81
186000
3000
如果我有不明白的东西,我大抵可以说“等等,等等”
03:24
You'll你会 all stay with me.
82
189000
2000
观众们就还都比较信服
03:26
It's perfectly完美 fine.
83
191000
2000
这都是可以的
03:28
(Applause掌声)
84
193000
4000
(掌声)
03:32
Now, let's go to the visuals视觉效果.
85
197000
2000
现在,我们来看视觉辅助工具
03:34
The most obvious明显 visual视觉 thing on stage阶段 is the speaker扬声器.
86
199000
3000
演讲人本身是最明显的视觉工具
03:37
And analysis分析 shows节目 if you want to be
87
202000
2000
分析结果表明,如果你想
03:39
among其中 the most favorite喜爱 TEDTED speakers音箱,
88
204000
2000
步入最受欢迎的演讲者之列的话
03:41
you should let your hair头发 grow增长 a little bit longer than average平均,
89
206000
3000
你该把头发留得比一般人略长一些
03:44
make sure you wear穿 your glasses眼镜 and be slightly more dressed-up打扮
90
209000
3000
记得戴上眼镜,并且比其他演讲者
03:47
than the average平均 TEDTED speaker扬声器.
91
212000
2000
穿得更正式一点
03:49
Slides幻灯片 are okay, though虽然 you might威力 consider考虑 going for props道具.
92
214000
3000
可以有幻灯,但道具效果往往更好
03:52
And now the most important重要 thing,
93
217000
2000
那么现在,最重要的一点
03:54
that is the mood心情 onstage在舞台上.
94
219000
2000
就是你在台上创造的氛围
03:56
Color颜色 plays播放 a very important重要 role角色.
95
221000
2000
颜色常常扮演很重要的角色
03:58
Color颜色 closely密切 correlates相关因素
96
223000
2000
颜色是与TED网站上的评分
04:00
with the ratings评级 that talks会谈 get on the website网站.
97
225000
3000
密切相关的
04:03
(Applause掌声)
98
228000
2000
(掌声)
04:05
For example, fascinating迷人 talks会谈
99
230000
2000
例如:据统计,
04:07
contain包含 a statistically统计学 high amount
100
232000
2000
相对普通讲座而言
04:09
of exactly究竟 this blue蓝色 color颜色, (Laughter笑声)
101
234000
2000
震撼人心的讲座
04:11
much more than the average平均 TEDTalkTED演讲.
102
236000
2000
会包含大量的蓝色基调
04:13
Ingenious巧妙 TEDTalksTED演讲, much more this green绿色 color颜色,
103
238000
2000
创意新颖的TED讲座,则会有更多的绿色
04:15
etc等等., et.
104
240000
2000
等等,等等
04:17
(Laughter笑声) (Applause掌声)
105
242000
7000
(掌声)
04:24
Now, personally亲自, I think
106
249000
2000
我个人认为
04:26
I'm not the first one who has doneDONE this analysis分析,
107
251000
2000
我恐怕不是第一个做过这类分析的人
04:28
but I'll leave离开 this
108
253000
2000
但是我还要
04:30
to your good judgment判断.
109
255000
3000
让诸位自己去判断
04:33
So, now it's time to put it all together一起
110
258000
2000
那么现在,该是把这些综合到一起
04:35
and design设计 the ultimate最终 TEDTalkTED演讲.
111
260000
2000
来设计出终极的TED演讲的时候了
04:37
Now, since以来 this is TEDActiveTEDActive,
112
262000
2000
不过这里毕竟还是TED Active
04:39
and I learned学到了 from my analysis分析
113
264000
2000
我也从我的分析结果中认识到
04:41
that I should actually其实 give you something,
114
266000
2000
我到底还是要给大家一些什么
04:43
I will not impose强加 the ultimate最终
115
268000
2000
我就不一味对大家强调
04:45
or worst最差 TEDTalkTED演讲 on you,
116
270000
2000
所谓终极或是最烂的TED讲座
04:47
but rather give you a tool工具 to create创建 your own拥有.
117
272000
2000
而是提供给大家创造你自己版本所需的工具
04:49
And I call this tool工具 the TEDPadTEDPad.
118
274000
3000
我称之为TED Pad (影射iPad)
04:52
(Laughter笑声)
119
277000
3000
(笑声)
04:55
And the TEDPadTEDPad is a matrix矩阵
120
280000
2000
TED Pad其实就是一个
04:57
of 100 specifically特别 selected,
121
282000
2000
由100个精选句式
04:59
highly高度 curated策划 sentences句子
122
284000
3000
组成的矩阵
05:02
that you can easily容易 piece together一起 to get your own拥有 TEDTalkTED演讲.
123
287000
3000
你可以利用它在轻松拼凑出你想要的TED讲座
05:07
You only have to make one decision决定,
124
292000
2000
你只需要做一个决定
05:09
and that is: Are you going to use the white白色 version
125
294000
2000
那就是:你要用白色版本
05:11
for very good TEDTalksTED演讲,
126
296000
2000
来创造
05:13
about creativity创造力, human人的 genius天才?
127
298000
2000
关于创造力和人类才干的极好的TED演讲
05:15
Or are you going to go with a black黑色 version,
128
300000
2000
还是要用黑色版本
05:17
which哪一个 will allow允许 you to create创建 really bad TEDTalksTED演讲,
129
302000
2000
来创作
05:19
mostly大多 about blogs博客,
130
304000
2000
关于博客,政治那些玩意儿的
05:21
politics政治 and stuff东东?
131
306000
2000
极烂的TED演讲
05:23
So, download下载 it and have fun开玩笑 with it.
132
308000
2000
所以,各位可以去下载下来,并慢慢玩味
05:25
Now I hope希望 you enjoy请享用 the session会议.
133
310000
3000
希望你们喜欢我的演讲
05:28
I hope希望 you enjoy请享用 designing设计 your own拥有
134
313000
2000
也希望你们今后创作自己最好或最差演讲的过程中
05:30
ultimate最终 and worst最差 possible可能 TEDTalksTED演讲.
135
315000
2000
也充满着乐趣
05:32
And I hope希望 some of you will be inspired启发 for next下一个 year
136
317000
3000
我更希望你们中的一些人,能够受到鼓舞
05:35
to create创建 this, which哪一个 I really want to see.
137
320000
3000
并有所创作,我真的很期待听到你们的演讲。
05:38
Thank you very much.
138
323000
2000
非常感谢。
05:40
(Applause掌声) Thanks谢谢.
139
325000
10000
(掌声)
Translated by Ting Gao
Reviewed by Snow Lee

▲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