Insightful human portraits made from data | R. Luke DuBois

116,204 views ・ 2016-05-19

TED


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翻译人员: Jinyu Wang 校对人员: Lydia Yu
00:12
So I'm an artist,
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我是一个艺术家
00:14
but a little bit of a peculiar one.
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但有点不同
00:16
I don't paint.
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我不会油画
00:18
I can't draw.
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我也不会速写
00:20
My shop teacher in high school wrote that I was a menace
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我的高中劳技老师曾在我的评语里写
00:24
on my report card.
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我是一个捣蛋鬼
00:25
You probably don't really want to see my photographs.
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你可能不会想看我的摄影
00:29
But there is one thing I know how to do:
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但有一件事 我知道怎么做好
00:31
I know how to program a computer.
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我会给计算机设计程序
00:33
I can code.
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我会编码
00:34
And people will tell me that 100 years ago,
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人们会告诉我 在一百年前
00:38
folks like me didn't exist,
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不存在像我这样的人
00:39
that it was impossible,
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我做的事情是不可能实现的
00:41
that art made with data is a new thing,
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这种用字符创作的艺术是全新的
00:44
it's a product of our age,
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是我们新时代的产物
00:46
it's something that's really important
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作为一种最新的产物的代表
00:48
to think of as something that's very "now."
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它也格外重要
00:50
And that's true.
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这都没错
00:52
But there is an art form that's been around for a very long time
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但有一种存在了很久的艺术形式
00:56
that's really about using information,
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也是利用信息
00:58
abstract information,
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利用抽象的信息
01:00
to make emotionally resonant pieces.
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产生情感上的共鸣
01:03
And it's called music.
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它就是音乐
01:05
We've been making music for tens of thousands of years, right?
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我们创作音乐已有上千年了 对吧
01:09
And if you think about what music is --
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如果要说音乐是什么
01:11
notes and chords and keys and harmonies and melodies --
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音乐就是音符 和弦 音调 和声和旋律
01:14
these things are algorithms.
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这些东西就是算法
01:15
These things are systems
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它们是设计好的系统
01:17
that are designed to unfold over time,
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会随着时间的推移打开
01:20
to make us feel.
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让我们能去感受
01:22
I came to the arts through music.
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我是通过音乐接触艺术的
01:23
I was trained as a composer,
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我曾被训练为作曲家
01:25
and about 15 years ago, I started making pieces
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十五年前 我开始创作一些片段
01:28
that were designed to look at the intersection
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希望能达到
01:31
between sound and image,
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声音与图像的完美融合
01:33
to use an image to unveil a musical structure
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用一幅画面去揭示一个音乐结构
01:35
or to use a sound to show you something interesting
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或者用一个声音去展示有趣的事情
01:38
about something that's usually pictorial.
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那些一般比较形象化的东西
01:40
So what you're seeing on the screen is literally being drawn
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所以你在屏幕上看到的实际上都是
01:44
by the musical structure of the musicians onstage,
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由舞台上的音乐家的乐曲结构构成的
01:47
and there's no accident that it looks like a plant,
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它们不出意外的看起来像是植物
01:49
because the underlying algorithmic biology of the plant
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因为它最初的乐曲结构本质上就是
01:53
is what informed the musical structure in the first place.
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植物最基本的生物算法
01:56
So once you know how to do this, once you know how to code with media,
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所以当你知道如何去编程时
01:59
you can do some pretty cool stuff.
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你就可以做出很多有意思的东西
02:02
This is a project I did for the Sundance Film Festival.
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这是我曾为圣丹斯电影节做过的一个项目
02:05
Really simple idea: you take every Academy Award Best Picture,
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很简单的想法就是 收集所有奥斯卡得奖摄影
02:11
you speed it up to one minute each
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然后把每一部加速播放到一分钟
02:13
and string them all together.
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再把他们都串在一起
02:15
And so in 75 minutes, I can show you the history of Hollywood cinema.
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所以我可以只用75分钟 来向你展示好莱坞电影史
02:19
And what it really shows you is the history of editing
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而真正展示的是
02:22
in Hollywood cinema.
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好莱坞电影的编辑史
02:23
So on the left, we've got Casablanca; on the right, we've got Chicago.
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所以我们可以得到 左边的是卡萨布兰卡市 右边的是芝加哥
02:27
And you can see that Casablanca is a little easier to read.
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你也可以发现卡萨布兰卡市看起来更容易
02:30
That's because the average length of a cinematic shot in the 1940s
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那是因为在20世纪40年代
02:34
was 26 seconds,
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电影镜头的平均长度为26秒
02:35
and now it's around six seconds.
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而如今约为6秒
02:38
This is a project that was inspired
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这个项目是受启发于
02:40
by some work that was funded by the US Federal Government
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美国联邦政府在21世纪初
02:43
in the early 2000s,
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赞助的一些工作
02:44
to look at video footage and find a specific actor in any video.
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就是从任何片段录像镜头中 找出一个具体的人物
02:51
And so I repurposed this code to train a system on one person
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我改写了程序来 训练这个系统
02:56
in our culture who would never need to be surveilled in that manner,
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去识别一个在我们的文化中 永远不需要被这样监视的人物
03:00
which is Britney Spears.
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她就是布兰妮·斯皮尔斯(Britney Spears)
03:01
I downloaded 2,000 paparazzi photos of Britney Spears
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我下载了2000张狗仔队偷拍的布兰妮的照片
03:05
and trained my computer to find her face
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训练我的电脑去识别她
03:07
and her face alone.
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而且仅仅是她
03:09
I can run any footage of her through it and will center her eyes in the frame,
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我可以播放任意她的片段 电脑会在相框内聚焦她的眼睛
03:13
and this sort of is a little double commentary
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这个事情反映了
03:15
about surveillance in our society.
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我们社会对于监控的一种矛盾心理
03:17
We are very fraught with anxiety about being watched,
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我们因为被监视着而充满了焦虑
03:20
but then we obsess over celebrity.
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却时刻对公众人物做着这样的事情
03:24
What you're seeing on the screen here is a collaboration I did
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你现在在屏幕上看到的
03:27
with an artist named Lián Amaris.
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是我和一名叫Lián Amaris的艺术家共同完成的
03:30
What she did is very simple to explain and describe,
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她的任务说起来容易
03:34
but very hard to do.
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做起来难
03:35
She took 72 minutes of activity,
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她需要呈现的在是72分钟里
03:39
getting ready for a night out on the town,
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为一次城里的狂欢夜梳妆打扮
03:41
and stretched it over three days
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但要拉长到整整三天
03:43
and performed it on a traffic island in slow motion in New York City.
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她需要在纽约街头的一个交通岛 用慢动作来展现这一切
03:47
I was there, too, with a film crew.
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我也在那里 带着一个摄影团队
03:50
We filmed the whole thing,
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我们录下了整个过程
03:51
and then we reversed the process, speeding it up to 72 minutes again,
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然后把它倒放 再加速到72分钟
03:54
so it looks like she's moving normally
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使她看起来是以正常速度移动
03:56
and the whole world is flying by.
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整个世界却是在飞速的运转着
03:59
At a certain point, I figured out
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有一次 我突然发觉
04:01
that what I was doing was making portraits.
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我正在做的正是塑造画像
04:05
When you think about portraiture, you tend to think about stuff like this.
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当提到肖像画时 你可能会想到这样的东西
04:09
The guy on the left is named Gilbert Stuart.
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左边的这个人叫吉伯特·斯图尔特
04:11
He's sort of the first real portraitist of the United States.
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他可能是美国第一位肖像画家
04:14
And on the right is his portrait of George Washington from 1796.
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右边的就是他在1796年为乔治·华盛顿做的肖像
04:17
This is the so-called Lansdowne portrait.
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这就是所谓的“兰丝唐呢绒”肖像
04:19
And if you look at this painting, there's a lot of symbolism, right?
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如果你仔细看这幅画 会发现很多象征符号 对吗
04:22
We've got a rainbow out the window. We've got a sword.
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这里有窗外的彩虹 这里有剑
04:25
We've got a quill on the desk.
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这里有桌上的羽毛笔
04:27
All of these things are meant to evoke
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所有这些事物都在暗示我们
04:29
George Washington as the father of the nation.
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这是乔治·华盛顿——美国之父
04:31
This is my portrait of George Washington.
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这个是我对乔治·华盛顿的肖像画
04:35
And this is an eye chart,
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它像是一个视力测试表
04:38
only instead of letters, they're words.
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只是它不是由字母组成 而是单词
04:41
And what the words are is the 66 words
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这66个单词是
04:44
in George Washington's State of the Union addresses
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乔治·华盛顿在国情咨文演说中
04:46
that he uses more than any other president.
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比其他总统用的都要多的单词
04:50
So "gentlemen" has its own symbolism and its own rhetoric.
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所以“先生们”这个词 有其独特的象征和修辞意义
04:54
And it's really kind of significant that that's the word he used the most.
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作为他用得最频繁的词 这个词是有着某种重要意义的
04:58
This is the eye chart for George W. Bush,
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这是乔治·布什的“视力表”
05:01
who was president when I made this piece.
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当我做这张表的时候 他还不是总统
05:04
And how you get there,
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从“先生们”到“恐怖行动”
05:05
from "gentlemen" to "terror" in 43 easy steps,
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经历了43个简单的步骤 (43届总统)
05:08
tells us a lot about American history,
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蕴藏着很多关于美国的历史
05:10
and gives you a different insight
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相比于看一系列的画作
05:12
than you would have looking at a series of paintings.
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可以使你获得别样的体验
05:15
These pieces provide a history lesson of the United States
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这些作品通过领导人的政治辞令
05:19
through the political rhetoric of its leaders.
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为我们展现了一节生动的美国历史课
05:21
Ronald Reagan spent a lot of time talking about deficits.
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罗纳德·里根花了很多时间谈论财政赤字
05:25
Bill Clinton spent a lot of time
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比尔·克林顿花了很多时间谈论
05:26
talking about the century in which he would no longer be president,
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他不再是总统的21世纪
05:30
but maybe his wife would be.
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她的夫人有可能成为总统的21世纪
05:33
Lyndon Johnson was the first President
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林登·约翰逊是第一任
05:35
to give his State of the Union addresses on prime-time television;
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在电视黄金时间发表国情咨文演说的总统
05:39
he began every paragraph with the word "tonight."
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他每段都以“今晚”开头
05:41
And Richard Nixon, or more accurately, his speechwriter,
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理查德·尼克松 更准确的说 他的撰稿人
05:44
a guy named William Safire,
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一个叫威廉·萨菲尔的人
05:45
spent a lot of time thinking about language
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花了很多时间斟酌他的言辞
05:47
and making sure that his boss portrayed a rhetoric of honesty.
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以确保他的老板正在演说着“诚实”的辞令
05:51
This project is shown as a series of monolithic sculptures.
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这个项目以一系列统一的雕塑来展现
05:54
It's an outdoor series of light boxes.
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是一系列的户外灯箱
05:56
And it's important to note that they're to scale,
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值得注意的是 它们和视力表一样是成比例的
05:59
so if you stand 20 feet back and you can read between those two black lines,
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也就是说 如果你站在20尺外 能领会到这两行黑字的言外之意
06:02
you have 20/20 vision.
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说明你视力正常
06:04
(Laughter)
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(笑声)
06:05
This is a portrait. And there's a lot of these.
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这是一种肖像画 类似的还有很多
06:07
There's a lot of ways to do this with data.
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有很多种方法来利用这些数据
06:10
I started looking for a way
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我开始寻找一种方法
06:12
to think about how I can do a more democratic form of portraiture,
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用一种更大众的形式来表现
06:17
something that's more about my country and how it works.
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更多的关于我的国家和它的运转方式
06:21
Every 10 years, we make a census in the United States.
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美国每十年人口普查一次
06:25
We literally count people,
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我们做的就是清点人数
06:27
find out who lives where, what kind of jobs we've got,
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查清谁住在哪 我们都有什么工作
06:30
the language we speak at home.
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我们在家都说什么语言
06:31
And this is important stuff -- really important stuff.
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的确 这些都是非常重要的事
06:34
But it doesn't really tell us who we are.
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但并不能描述出我们的真实身份
06:36
It doesn't tell us about our dreams and our aspirations.
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这些不能描述我们的梦想 我们的和抱负
06:39
And so in 2010, I decided to make my own census.
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因此 在2010年 我决定做我自己的人口普查
06:42
And I started looking for a corpus of data
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我开始寻找那些
06:46
that had a lot of descriptions written by ordinary Americans.
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由普通美国群众写的有大量描述性内容的数据库
06:49
And it turns out
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结果我发现
06:50
that there is such a corpus of data
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就有着这样的数据库
06:52
that's just sitting there for the taking.
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等着我去利用起来
06:54
It's called online dating.
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就是在线约会网站
06:56
So in 2010, I joined 21 different online dating services,
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所以 2010年我注册了21个不同的在线约会网站
07:01
as a gay man, a straight man, a gay woman and a straight woman,
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以各种不同的身份 包括同性恋男 直男 同性恋女 直女
07:04
in every zip code in America
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还用美国各地的邮编
07:06
and downloaded about 19 million people's dating profiles --
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下载了一千九百万人的档案
07:09
about 20 percent of the adult population of the United States.
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也就是大约20%美国成人人口
07:13
I have obsessive-compulsive disorder.
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我有强迫症
07:15
This is going to become really freaking obvious. Just go with me.
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会越来越明显的 稍微忍忍吧
07:18
(Laughter)
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(笑声)
07:19
So what I did was I sorted all this stuff by zip code.
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所以我把所有资料按邮编分类
07:23
And I looked at word analysis.
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用词汇分析法来分析
07:25
These are some dating profiles from 2010
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这是一些2010年的档案中
07:28
with the word "lonely" highlighted.
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包含“孤独”这个词的被我高亮的出来
07:30
If you look at these things topographically,
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如果从地理的角度来看
07:33
if you imagine dark colors to light colors are more use of the word,
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颜色越亮代表词语使用量越高
07:36
you can see that Appalachia is a pretty lonely place.
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你可以发现阿巴拉契亚是一个十分孤独的地方
07:41
You can also see that Nebraska ain't that funny.
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还可以看出内布拉斯加州也不是那么的有趣
07:48
This is the kinky map, so what this is showing you
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这是一幅有些扭曲的地图
07:54
is that the women in Alaska need to get together
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它告诉我们的是 阿拉斯加的女人需要和
07:57
with the men in southern New Mexico,
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南方新墨西哥州的男人在一起
07:58
and have a good time.
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过上幸福生活
08:00
And I have this at a pretty granular level,
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我还可以告诉你一些更细微的发现
08:03
so I can tell you that the men in the eastern half of Long Island
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从长岛东半边来的男人
08:06
are way more interested in being spanked
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比西半边的
08:08
than men in the western half of Long Island.
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更乐于被挨巴掌
08:11
This will be your one takeaway from this whole conference.
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这可以作为你在这次活动的收获之一
08:14
You're going to remember that fact for, like, 30 years.
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这个结论你应该可以记大概 30年吧
08:17
(Laughter)
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(笑声)
08:20
When you bring this down to a cartographic level,
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把这个想法应用到地图上
08:23
you can make maps and do the same trick I was doing with the eye charts.
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同样可以实现 就像我做的“视力表”一样
08:26
You can replace the name of every city in the United States
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你可以把美国每个城市的名字
08:29
with the word people use more in that city than anywhere else.
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替换成每个地方的人们使用频率高的词语
08:32
If you've ever dated anyone from Seattle, this makes perfect sense.
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如果你曾和来自西雅图的人约过会 你就会明白
08:35
You've got "pretty." You've got "heartbreak."
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你会听到“好漂亮” 你会听到“心碎了”
08:38
You've got "gig." You've got "cigarette."
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你会听到“现场演出“ 你会听到“香烟”
08:40
They play in a band and they smoke.
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他们会有乐队的演出 他们也抽烟
08:43
And right above that you can see "email."
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右上方你可以看到“电子邮件”
08:45
That's Redmond, Washington,
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那是华盛顿州的雷蒙德市
08:46
which is the headquarters of the Microsoft Corporation.
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正是微软总部的所在地
有些你都可以猜到 比如 洛杉矶是“表演”
08:49
Some of these you can guess -- so, Los Angeles is "acting"
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08:52
and San Francisco is "gay."
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旧金山是“同性恋”
08:54
Some are a little bit more heartbreaking.
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有些是有点令人悲伤的
08:56
In Baton Rouge, they talk about being curvy;
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在巴吞鲁日 人们谈论肥胖
08:58
downstream in New Orleans, they still talk about the flood.
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到下游的新奥尔良市 人们仍在谈论洪水
09:01
Folks in the American capital will say they're interesting.
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在美国首都的人们会说他们很有趣
09:03
People in Baltimore, Maryland, will say they're afraid.
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在马里兰州巴尔的摩的人们则会说他们很害怕
09:06
This is New Jersey.
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这是新泽西
09:08
I grew up somewhere between "annoying" and "cynical."
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我在“烦人“和”愤世嫉俗“之间长大
09:10
(Laughter) (Applause)
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(笑声)(掌声)
09:15
And New York City's number one word is "now,"
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纽约市排名第一的词是“现在”
09:17
as in, "Now I'm working as a waiter, but actually I'm an actor."
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比如 别看我现在是个服务生 实际上我是个演员
09:21
(Laughter)
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(笑声)
09:22
Or, "Now I'm a professor of engineering at NYU, but actually I'm an artist."
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或者 “我现在是个纽约大学的工程教授 但实际上我是个艺术家”
09:26
If you go upstate, you see "dinosaur."
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往北一些 你会看到“恐龙”
09:28
That's Syracuse.
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那是锡拉丘兹
09:29
The best place to eat in Syracuse, New York,
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纽约州的锡拉丘兹里最好的用餐地点
09:31
is a Hell's Angels barbecue joint called Dinosaur Barbecue.
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是一个叫恐龙烧烤的飞车党烧烤酒吧
09:34
That's where you would take somebody on a date.
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那是一个可以约会的好地方
09:36
I live somewhere between "unconditional" and "midsummer," in Midtown Manhattan.
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我住在一个在“无条件的”和“夏至“之间的地方 在曼哈顿中部
09:40
And this is gentrified North Brooklyn,
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这是修缮后的北布鲁克林
09:42
so you've got "DJ" and "glamorous" and "hipsters" and "urbane."
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所以你会看到“DJ” “迷人的” “嬉皮士”和“都市化的”
09:46
So that's maybe a more democratic portrait.
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所以这应该是个更大众的肖像
09:48
And the idea was, what if we made red-state and blue-state maps
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另一个想法就是 把这个应用到红蓝两党的地图上
09:51
based on what we want to do on a Friday night?
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基于周五晚上我们想做什么
09:53
This is a self-portrait.
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这将是一副自画像
09:55
This is based on my email,
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基于我的电子邮箱
09:57
about 500,000 emails sent over 20 years.
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有这20年里的大约五十万封邮件
10:00
You can think of this as a quantified selfie.
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你可以把这个想象成一个定量的自拍照
10:03
So what I'm doing is running a physics equation
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我做的就是在我的个人数据的基础上
10:06
based on my personal data.
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套用一个物理公式
10:07
You have to imagine everybody I've ever corresponded with.
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想象一下与我有过交集的每一个人
10:10
It started out in the middle and it exploded with a big bang.
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从中心开始 在一声巨响后向四面八方炸裂
10:13
And everybody has gravity to one another,
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而每个人之间互相都有引力
10:15
gravity based on how much they've been emailing,
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引力大小取决于他们之间发送电子邮件的频率
10:18
who they've been emailing with.
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以及他们给谁发过电子邮件
10:19
And it also does sentimental analysis,
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这之中也包含了感性分析
10:21
so if I say "I love you," you're heavier to me.
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例如我说“我爱你” 那么你对我的引力就越大
10:23
And you attract to my email addresses in the middle,
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你就会被我的电子邮件所吸引 也就是在画面中央的
10:26
which act like mainline stars.
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就像是一线明星一样
10:28
And all the names are handwritten.
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所有这些名字都是手写的
10:30
Sometimes you do this data and this work with real-time data
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有时候你可以这样来处理实时数据
10:34
to illuminate a specific problem in a specific city.
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去阐释一个城市里发生的某个具体的问题
10:38
This is a Walther PPK 9mm semiautomatic handgun
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这是一把沃尔特-PPK式9毫米自动手枪
10:40
that was used in a shooting in the French Quarter of New Orleans
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它被用于2年前情人节在新奥尔良法国区
10:43
about two years ago on Valentine's Day in an argument over parking.
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一起因停车问题的争吵而引发的枪击事件中
10:47
Those are my cigarettes.
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这些是我的香烟
10:48
This is the house where the shooting took place.
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这是那幢发生枪击的房子
10:50
This project involved a little bit of engineering.
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这个项目包含一点工程学
10:53
I've got a bike chain rigged up as a cam shaft,
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我用自行车的链条组装成了一个凸轮轴
10:55
with a computer driving it.
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由计算机驱动
10:56
That computer and the mechanism are buried in a box.
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整个计算机和机械被放在一个盒子里
10:59
The gun's on top welded to a steel plate.
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这把手枪被焊在一个钢铁盘上面
11:01
There's a wire going through to the trigger,
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有一根电话线穿过扳机
11:04
and the computer in the box is online.
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盒子里的计算机是联网的
11:06
It's listening to the 911 feed of the New Orleans Police Department,
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它连接着911新奥尔良分局的输入口
11:09
so that anytime there's a shooting reported in New Orleans,
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因此在新奥尔良只要有枪击案上报
11:12
(Gunshot sound)
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(枪声)
11:13
the gun fires.
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这把手枪就会开火
11:15
Now, there's a blank, so there's no bullet.
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现在它是空的 里面没有子弹
11:18
There's big light, big noise
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会有明亮的灯光和嘈杂的声响
11:20
and most importantly, there's a casing.
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更重要的是 那里有个盒子
11:22
There's about five shootings a day in New Orleans,
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在新奥尔良 每天会有五个枪击案
11:24
so over the four months this piece was installed,
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所以在这个装置装好后的四个月
11:27
the case filled up with bullets.
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这个盒子就装满了子弹
11:29
You guys know what this is -- you call this "data visualization."
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大家都知道这是什么 你们把它叫做“数据可视化”
11:34
When you do it right, it's illuminating.
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你正确的利用它就会很有启发
11:36
When you do it wrong, it's anesthetizing.
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你若做错了就会让人麻痹大意
11:39
It reduces people to numbers.
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它会让生命变成数字
11:41
So watch out.
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所以务必要当心
11:44
One last piece for you.
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最后一件要跟你们分享的事
11:46
I spent the last summer as the artist in residence
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去年夏天 我以一名艺术家的身份
11:49
for Times Square.
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驻扎在时代广场
11:50
And Times Square in New York is literally the crossroads of the world.
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纽约的时代广场算得上是世界的交叉路口
11:54
One of the things people don't notice about it
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而人们没有注意到的是
11:56
is it's the most Instagrammed place on Earth.
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它也是全球发Instagram最多的地方
11:59
About every five seconds, someone commits a selfie
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在时代广场
12:02
in Times Square.
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约每五秒钟就有人在一张自拍照下面评论
12:04
That's 17,000 a day, and I have them all.
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也就是明天17000条 我全都收集了起来
12:07
(Laughter)
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(笑声)
12:08
These are some of them with their eyes centered.
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这些是人们目视正中心的照片
12:11
Every civilization,
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每一种文明
12:12
will use the maximum level of technology available to make art.
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都最大程度地利用科技去创造艺术
12:15
And it's the responsibility of the artist to ask questions
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这也是艺术家的责任去发出疑问
12:17
about what that technology means
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科技意味着什么
12:19
and how it reflects our culture.
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科技如何反映我们的文化
12:21
So I leave you with this: we're more than numbers.
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所以我想告诉你们的是 我们不仅仅是数字
12:24
We're people, and we have dreams and ideas.
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我们是人类 我们有梦想和创意
12:26
And reducing us to statistics is something that's done
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把人简化成数据
12:29
at our peril.
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是将我们自己至于险境
12:30
Thank you very much.
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谢谢
12:31
(Applause)
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(掌声)
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