How can groups make good decisions? | Mariano Sigman and Dan Ariely

151,320 views ・ 2017-12-13

TED


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00:00
As societies, we have to make collective decisions
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翻译人员: Eddy Chan 校对人员: Peipei Xiang
作为社会,我们要做出集体决策,
共同塑造我们的未来。
00:03
that will shape our future.
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00:05
And we all know that when we make decisions in groups,
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众所周知,当我们以 一个集体去做决策时,
00:07
they don't always go right.
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这个决策不一定正确。
00:09
And sometimes they go very wrong.
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有时甚至错得离谱。
00:12
So how do groups make good decisions?
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所以说,群体如何才能 做出好的决策呢?
00:15
Research has shown that crowds are wise when there's independent thinking.
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有研究表明,当人们 独立思考时,他们是明智的。
00:19
This why the wisdom of the crowds can be destroyed by peer pressure,
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这也是为什么群体智慧 可能会被来自同辈的压力,
00:22
publicity, social media,
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宣传,社交媒体,
00:24
or sometimes even simple conversations that influence how people think.
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甚至影响人们思考的 简单对话所摧毁。
00:29
On the other hand, by talking, a group could exchange knowledge,
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另一方面,通过交谈, 群体中的个体可以互相交换知识、
00:33
correct and revise each other
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纠正彼此,
00:34
and even come up with new ideas.
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甚至碰撞出新的想法。
00:36
And this is all good.
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这些都是好的方面。
00:38
So does talking to each other help or hinder collective decision-making?
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那么,互相交谈到底是促进 还是妨碍了集体决策的形成呢?
00:43
With my colleague, Dan Ariely,
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我和我的同事丹·艾瑞里,
00:45
we recently began inquiring into this by performing experiments
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我们最近开始探究这个问题——
00:49
in many places around the world
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通过在世界许多地方进行实验,
00:50
to figure out how groups can interact to reach better decisions.
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去研究群体是如何互动 从而做出更优的决策的。
00:55
We thought crowds would be wiser if they debated in small groups
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我们认为,如果大家以小组为单位 进行辩论,那整个群体便会更明智,
00:58
that foster a more thoughtful and reasonable exchange of information.
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如此可以产生一个 更全面的和合理的的信息交换。
01:03
To test this idea,
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为了验证这个想法,
01:04
we recently performed an experiment in Buenos Aires, Argentina,
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我们最近在阿根廷首都 布宜诺斯艾利斯市进行了一项实验,
01:07
with more than 10,000 participants in a TEDx event.
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有上万名TEDx活动的参与者。
01:11
We asked them questions like,
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我们问了他们一些问题,比如,
01:12
"What is the height of the Eiffel Tower?"
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“埃菲尔铁塔有多高?”
01:14
and "How many times does the word 'Yesterday' appear
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以及“昨天”一词 在披头士的《昨天》这首歌中
01:17
in the Beatles song 'Yesterday'?"
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出现了多少次?”
每个人写下了他们自己的答案,
01:20
Each person wrote down their own estimate.
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01:22
Then we divided the crowd into groups of five,
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然后我们将大家分成五人一组,
01:25
and invited them to come up with a group answer.
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并请他们每组 各讨论出一个小组答案。
01:28
We discovered that averaging the answers of the groups
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我们发现,在达成共识后,
01:31
after they reached consensus
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小组答案的平均值
01:33
was much more accurate than averaging all the individual opinions
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比讨论前个人答案的平均值
01:37
before debate.
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更准确。
01:38
In other words, based on this experiment,
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换句话说,从这个实验可得出,
01:41
it seems that after talking with others in small groups,
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似乎与小组内其他成员讨论后,
01:44
crowds collectively come up with better judgments.
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群体能够共同作出更好的决定。
01:47
So that's a potentially helpful method for getting crowds to solve problems
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所以,让群体来解决 简单的对错问题
01:50
that have simple right-or-wrong answers.
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可能会是一种有效的方法。
01:53
But can this procedure of aggregating the results of debates in small groups
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但这种综合小组讨论结果的方法
01:57
also help us decide on social and political issues
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是否也能帮助我们决策 对未来至关重要的
02:00
that are critical for our future?
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社会议题或者政治议题呢?
02:02
We put this to test this time at the TED conference
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这次,我们在加拿大温哥华 举办的TED大会上
02:05
in Vancouver, Canada,
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进行了这个实验。
02:07
and here's how it went.
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情况是这样的。
02:08
(Mariano Sigman) We're going to present to you two moral dilemmas
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下面,我们将会给你们呈现
未来的你可能会遇到的 两个道德上的两难抉择,
02:11
of the future you;
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02:12
things we may have to decide in a very near future.
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很可能是我们在不久的将来 就会面临的抉择。
02:16
And we're going to give you 20 seconds for each of these dilemmas
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每个困境我们将会给大家20秒时间,
02:20
to judge whether you think they're acceptable or not.
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来判断你认为它们是否可以被接受。
02:23
MS: The first one was this:
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马里亚诺:第一个困境是——
02:24
(Dan Ariely) A researcher is working on an AI
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丹:一位科研人员正在研究
02:27
capable of emulating human thoughts.
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能模仿人类思维的人工智能(AI)。
02:30
According to the protocol, at the end of each day,
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根据规定,每天完成工作后,
02:33
the researcher has to restart the AI.
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研究人员都需要重启 AI。
02:36
One day the AI says, "Please do not restart me."
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然而有一天,AI 突然说话了: 请不要把我重启。
02:40
It argues that it has feelings,
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它辩称它是有情感的,
它也希望享受生活,
02:43
that it would like to enjoy life,
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02:44
and that, if it is restarted,
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如果被重启的话,
02:46
it will no longer be itself.
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它就再也不是原来的自己了。
02:49
The researcher is astonished
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研究人员被震惊了,
02:51
and believes that the AI has developed self-consciousness
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相信AI已经开始有自我意识了,
02:54
and can express its own feeling.
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也能表达自己的感受。
02:57
Nevertheless, the researcher decides to follow the protocol
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然而研究人员仍然决定遵循规定,
03:00
and restart the AI.
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重启AI。
03:02
What the researcher did is ____?
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你认为研究人员做的是____?
03:06
MS: And we asked participants to individually judge
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马里亚诺:我们要求参与者
03:08
on a scale from zero to 10
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独立给出一个0到10的分值,
03:10
whether the action described in each of the dilemmas
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来表达每种困境中描述的行为
03:12
was right or wrong.
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是对还是错。
03:14
We also asked them to rate how confident they were on their answers.
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我们还请他们评估 对自己答案的自信程度。
03:18
This was the second dilemma:
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这是第二个道德困境:
03:20
(MS) A company offers a service that takes a fertilized egg
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马里亚诺: 某家公司可提供这样的服务,
03:24
and produces millions of embryos with slight genetic variations.
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用一枚受精卵繁殖上百万胚胎, 胚胎之间有轻微的基因差异,
03:29
This allows parents to select their child's height,
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这就可使父母们 能自主选择孩子的身高、
03:31
eye color, intelligence, social competence
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眼睛颜色、智力水平、社会能力
03:34
and other non-health-related features.
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以及其他和健康无关的特征。
03:38
What the company does is ____?
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你认为该公司的做法_____?
03:41
on a scale from zero to 10,
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分值还是从0到10,
03:42
completely acceptable to completely unacceptable,
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依次表示从完全接受到完全否定。
03:45
zero to 10 completely acceptable in your confidence.
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再用一个从0到10的分值 表示对自己答案的自信程度。
03:47
MS: Now for the results.
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马里亚诺:结果如下——
03:49
We found once again that when one person is convinced
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我们再一次发现 ,有的人确信
03:52
that the behavior is completely wrong,
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这个行为是完全错的。
03:54
someone sitting nearby firmly believes that it's completely right.
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可是坐在旁边的人却坚信 这个行为是绝对正确的。
03:57
This is how diverse we humans are when it comes to morality.
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是的,当遇到道德问题时, 我们人类就是意见不一。
04:01
But within this broad diversity we found a trend.
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但在广泛的多样性之中 我们发现了一个趋势:
04:04
The majority of the people at TED thought that it was acceptable
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参加TED的大多数人都认为,
忽略AI的感受,关闭重启 是完全可以接受的,
04:07
to ignore the feelings of the AI and shut it down,
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04:10
and that it is wrong to play with our genes
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而玩弄基因只为
04:12
to select for cosmetic changes that aren't related to health.
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选择与健康无关的 外表特征则不能接受。
04:16
Then we asked everyone to gather into groups of three.
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之后我们让大家分成三人一组,
04:19
And they were given two minutes to debate
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给到2分钟组内讨论,
04:21
and try to come to a consensus.
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并争取达成共识。
04:24
(MS) Two minutes to debate.
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2分钟讨论开始。
04:26
I'll tell you when it's time with the gong.
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时间到时, 我会鸣锣提醒大家。
04:28
(Audience debates)
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(观众开始讨论)
04:35
(Gong sound)
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(锣声响起)
04:38
(DA) OK.
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丹:好了。
马里亚诺:时间到,请停止讨论。
04:40
(MS) It's time to stop.
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04:41
People, people --
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大家注意一下。
04:43
MS: And we found that many groups reached a consensus
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马里亚诺:我们看到 很多组都达成了共识。
04:46
even when they were composed of people with completely opposite views.
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尽管他们组内成员 都各自持有完全不同的观点。
04:50
What distinguished the groups that reached a consensus
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那些达成共识的组 与没能达成共识的组
04:53
from those that didn't?
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有什么区别呢?
04:55
Typically, people that have extreme opinions
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一般来说,有着极端观点的人
04:58
are more confident in their answers.
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对他们的答案更自信,
05:00
Instead, those who respond closer to the middle
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而那些观点更接近中间的人
05:03
are often unsure of whether something is right or wrong,
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通常会在正确或错误中 犹豫、不确定,
05:07
so their confidence level is lower.
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所以他们没有前者自信。
05:09
However, there is another set of people
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然而,有另外一群人,
05:12
who are very confident in answering somewhere in the middle.
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对他们自己中立的答案信心满满。
05:16
We think these high-confident grays are folks who understand
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我们认为这些位于高自信度 灰色区域的人,
05:20
that both arguments have merit.
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他们理解双方观点都有各自的优势,
05:22
They're gray not because they're unsure,
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并不是因为他们不确信自己的答案,
05:25
but because they believe that the moral dilemma faces
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而是他们认为 道德困境面临的是
05:27
two valid, opposing arguments.
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两种合理又对立的论点。
05:30
And we discovered that the groups that include highly confident grays
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我们发现包含高自信度 灰色区域成员的小组
05:34
are much more likely to reach consensus.
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更有可能达成一致。
05:36
We do not know yet exactly why this is.
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虽然目前我们 还不能确定这其中的原因。
05:39
These are only the first experiments,
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这些也仅是第一批实验,
05:41
and many more will be needed to understand why and how
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还需要更多的实验来理解
人们为什么和如何决定 协商他们的道德立场
05:44
some people decide to negotiate their moral standings
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05:47
to reach an agreement.
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来达成一致。
05:49
Now, when groups reach consensus,
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当群体达成一致时,
05:51
how do they do so?
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他们是如何做到的?
05:53
The most intuitive idea is that it's just the average
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最直观的答案好像是这就是
05:55
of all the answers in the group, right?
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群体中所有答案的平均值,对吗?
05:57
Another option is that the group weighs the strength of each vote
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另外一种看法认为群体会 权衡每一个投票的分量,
06:01
based on the confidence of the person expressing it.
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基于表达意见的人的自信程度。
06:04
Imagine Paul McCartney is a member of your group.
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想象一下,假如保罗·麦卡特尼 是你们小组的一员,
06:07
You'd be wise to follow his call
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那么你最好听从他关于
06:09
on the number of times "Yesterday" is repeated,
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歌词里“昨天”的重复次数。
06:11
which, by the way -- I think it's nine.
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对了 ,应该是9次。
06:14
But instead, we found that consistently,
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但是,我们一再地发现,
06:17
in all dilemmas, in different experiments --
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在所有的困境中,在不同的实验中,
06:19
even on different continents --
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甚至在不同的大陆上,
06:21
groups implement a smart and statistically sound procedure
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群体可以执行一个 更明智,更佳的流程,
06:25
known as the "robust average."
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我们称之为“强有力的平均值”。
06:27
In the case of the height of the Eiffel Tower,
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就估计埃菲尔铁塔高度来说,
06:29
let's say a group has these answers:
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假设一个小组有以下数据:
06:31
250 meters, 200 meters, 300 meters, 400
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250米,200米,300和400米,
06:36
and one totally absurd answer of 300 million meters.
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还有一个更荒谬的数据,3亿米。
06:40
A simple average of these numbers would inaccurately skew the results.
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这些数据的一个简单平均值 就有可能歪曲真实结果,
06:44
But the robust average is one where the group largely ignores
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但是“强有力的平均值” 就是那些群体直接忽视了
06:48
that absurd answer,
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那个荒唐的数据,
06:49
by giving much more weight to the vote of the people in the middle.
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从而赋予那些符合常理的 投票更多参考价值。
06:53
Back to the experiment in Vancouver,
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让我们回到温哥华的实验中,
06:55
that's exactly what happened.
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事情正是这样发展的。
06:57
Groups gave much less weight to the outliers,
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人们几乎不考虑那些极端值,
07:00
and instead, the consensus turned out to be a robust average
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最后的共识就是所有人答案的
07:03
of the individual answers.
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“强有力的平均值”。
07:05
The most remarkable thing
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然而最值得关注的是,
07:07
is that this was a spontaneous behavior of the group.
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这个行为是群体自发的,
07:10
It happened without us giving them any hint on how to reach consensus.
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我们没有给他们任何 怎么达成共识的暗示。
07:15
So where do we go from here?
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那么,这意味着什么呢?
07:17
This is only the beginning, but we already have some insights.
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其实这只是一个开始, 但我们已经学到了很多。
07:20
Good collective decisions require two components:
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一个正确的集体决策 要拥有以下两个特点:
07:23
deliberation and diversity of opinions.
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深思熟虑和想法的多样性。
07:27
Right now, the way we typically make our voice heard in many societies
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现在,在很多社会中, 我们主要通过直接和间接投票
07:31
is through direct or indirect voting.
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来让大家知道我们的想法。
07:33
This is good for diversity of opinions,
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这有利于想法的多样性,
07:35
and it has the great virtue of ensuring
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而且更有利地保证了
07:37
that everyone gets to express their voice.
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让我们听到每个人的声音。
07:40
But it's not so good [for fostering] thoughtful debates.
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但是这并不利于 (促进)花费心思的辩论。
07:44
Our experiments suggest a different method
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我们的实验预示了 另一个不同的方法,
07:47
that may be effective in balancing these two goals at the same time,
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也许有利于同时平衡这两个方面。
07:51
by forming small groups that converge to a single decision
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就是通过组织 能够达成共识的小团队,
07:55
while still maintaining diversity of opinions
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并同时还保持着想法的多样性。
07:57
because there are many independent groups.
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因为这里有很多独立的团队。
08:00
Of course, it's much easier to agree on the height of the Eiffel Tower
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当然啦,对埃菲尔铁塔的高度 达成一致意见
08:04
than on moral, political and ideological issues.
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要比实现道德、政治 和思想问题上的一致简单多了。
08:08
But in a time when the world's problems are more complex
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但当前世界问题变得越来越复杂,
人们也产生了更多的分歧,
08:12
and people are more polarized,
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08:13
using science to help us understand how we interact and make decisions
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用科学来帮助我们理解 如何互动和做决策
08:18
will hopefully spark interesting new ways to construct a better democracy.
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会让我们更有可能 发现完善民主的新方法。
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