ABOUT THE SPEAKER
Eric Berlow - Ecologist
TED Senior Fellow Eric Berlow studies ecology and networks, exposing the interconnectedness of our ecosystems with climate change, government, corporations and more.

Why you should listen

Eric Berlow is an ecologist and network scientist who specializes in not specializing. A TED Senior Fellow, Berlow is recognized for his research on food webs and ecological networks and for creative approaches to complex problems. He was the founding director of the University of California's first environmental science center inside Yosemite National Park, where he continues to develop data-driven approaches to managing natural ecosystems. 

In 2012 Berlow founded Vibrant Data Labs, which builds tools to use data for social good. Berlow's current projects range from helping spark an egalitarian personal data economy to protecting endangered amphibians in Yosemite to crowd-sourcing novel insights about human creativity. Berlow holds a Ph.D. from Oregon State University in marine ecology.

 

 

More profile about the speaker
Eric Berlow | Speaker | TED.com
TEDGlobal 2010

Eric Berlow: Simplifying complexity

埃里克·贝娄Eric Berlow: 怎样化杂为简

Filmed:
1,361,116 views

生态学家埃里克·贝娄Eric Berlow面临复杂系统时,一向都从容以对。他知道如何运用更多讯息,找出更好更简单的解答,并以图解说明解决难题的技巧。 他化杂为简,将美国对抗阿富汗的策略的复杂资料图表浓缩成几个要点。
- Ecologist
TED Senior Fellow Eric Berlow studies ecology and networks, exposing the interconnectedness of our ecosystems with climate change, government, corporations and more. Full bio

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

00:15
Do you ever feel completely全然 overwhelmed不堪重负
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当你面对着一个复杂的问题时
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when you're faced面对 with a complex复杂 problem问题?
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你是否曾经觉得很不知所措?
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Well, I hope希望 to change更改 that in less than three minutes分钟.
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我希望能在三分钟内为此做些改变。
00:23
So, I hope希望 to convince说服 you that complex复杂
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因此,我希望说服你其实复杂
00:25
doesn't always equal等于 complicated复杂.
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并不总是繁杂。
00:27
So for me, a well-crafted精心设计的 baguette法国面包, fresh新鲜 out of the oven烤箱,
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对我来说,一个刚出炉的精心烘培法国面包
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is complex复杂,
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是复杂的,
00:32
but a curry咖喱 onion洋葱 green绿色 olive橄榄 poppy罂粟 cheese起司 bread面包
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但是咖喱绿橄榄罂粟洋葱奶酪面包
00:34
is complicated复杂.
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是繁杂的。
00:37
I'm an ecologist生态学家, and I study研究 complexity复杂. I love complexity复杂.
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我是一个生态学家,我研究复杂性,我爱复杂性。
00:40
And I study研究 that in the natural自然 world世界, the interconnectedness互联 of species种类.
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我研究自然界中,物种彼此之间的关系。
00:43
So here's这里的 a food餐饮 web卷筒纸,
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这是一个食物网
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or a map地图 of feeding馈送 links链接 between之间 species种类
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或者是一张食物链关联图
00:47
that live生活 in Alpine高山 Lakes in the mountains of California加州.
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描述了加州高山湖的物种关系。
00:50
And this is what happens发生 to that food餐饮 web卷筒纸
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而这是食物网现在的样子
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when it's stocked库存 with non-native非本地 fish that never lived生活 there before.
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非原生的鱼类大量涌入后
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All the grayed-out变灰 species种类 disappear消失.
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所有灰色的物种消失了。
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Some are actually其实 on the brink边缘 of extinction灭绝.
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有些濒临绝种。
00:58
And lakes湖泊 with fish have more mosquitos蚊子, even though虽然 they eat them.
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有鱼的湖会有更多蚊子,虽然鱼会吃蚊子。
01:01
These effects效果 were all unanticipated意外,
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这些影响都是预想不到的,
01:03
and yet然而 we're discovering发现 they're predictable可预测.
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但我们发现他们是可被预测的。
01:05
So I want to share分享 with you a couple一对 key insights见解
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所以我想要分享几个想法
01:07
about complexity复杂 we're learning学习 from studying研究 nature性质
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关于在自然界学到的复杂性
01:09
that maybe are applicable适用 to other problems问题.
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或许可以沿用到其他问题。
01:13
First is the simple简单 power功率 of good visualization可视化 tools工具
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首先,视觉化工具所带来的简单力量
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to help untangle排解 complexity复杂
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可以帮助我们理清复杂的关系
01:17
and just encourage鼓励 you to ask questions问题 you didn't think of before.
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并且引导你思考你从未想过的问题。
01:20
For example, you could plot情节 the flow of carbon
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例如,你可以在图中找出相似处
01:23
through通过 corporate企业 supply供应 chains in a corporate企业 ecosystem生态系统,
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在生态系统中的一堆链接中
01:26
or the interconnections互连 of habitat栖息地 patches补丁
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或在优胜美地国家公园
01:28
for endangered濒危 species种类 in Yosemite优胜美地 National国民 Park公园.
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标出濒绝物种栖息地的关系。
01:31
The next下一个 thing is that if you want to predict预测
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其次,如果你想要预测
01:33
the effect影响 of one species种类 on another另一个,
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物种间彼此的影响,
01:35
if you focus焦点 only on that link链接,
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如果你只专注那个链接,
01:37
and then you black黑色 box the rest休息,
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你就会忽略掉其它的信息,
01:39
it's actually其实 less predictable可预测
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但是你会更难做出推测
01:41
than if you step back, consider考虑 the entire整个 system系统 -- all the species种类, all the links链接 --
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如果你退回上一步,纳入整个系统,包括所有物种、关联
01:44
and from that place地点,
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从这里着手
01:46
hone磨练 in on the sphere领域 of influence影响 that matters事项 most.
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把焦点集中在相关的影响范围效果会更好。
01:48
And we're discovering发现, with our research研究,
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而我们在研究中发现
01:50
that's often经常 very local本地 to the node节点 you care关心 about
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人们通常只关注非常靠近目标附近的一些内容
01:52
within one or two degrees.
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一到两层左右。
01:54
So the more you step back, embrace拥抱 complexity复杂,
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所以你退的越多,并广纳复杂,
01:56
the better chance机会 you have of finding发现 simple简单 answers答案,
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你就越有机会找到简单的答案,
01:58
and it's often经常 different不同 than the simple简单 answer回答 that you started开始 with.
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而且是和你起先着手的简单答案不同。
02:02
So let's switch开关 gears齿轮 and look at a really complex复杂 problem问题
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现在换个角度,用美国政府来看
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courtesy礼貌 of the U.S. government政府.
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真正复杂的问题。
02:08
This is a diagram of the U.S. counterinsurgency平叛 strategy战略 in Afghanistan阿富汗.
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这是美国对阿富汗镇暴策略的示意图。
02:11
It was front面前 page of the New York纽约 Times a couple一对 months个月 ago.
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几个月前出现在纽约时报头版
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Instantly即刻 ridiculed by the media媒体
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马上被媒体嘲笑着
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for being存在 so crazy complicated复杂.
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因为这张图表实在是太过复杂。
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And the stated声明 goal目标 was to increase增加 popular流行 support支持
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而他们的目标是为了要得到声援
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for the Afghan阿富汗 government政府.
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对阿富汗政权的声援。
02:22
Clearly明确地 a complex复杂 problem问题,
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这很明显的是个复杂的问题,
02:24
but is it complicated复杂?
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但它繁杂吗?
02:26
Well, when I saw this in the front面前 page of the Times,
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我看到报纸的这篇头版时,
02:28
I thought, "Great. Finally最后 something I can relate涉及 to.
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我心里想着,“太好了,总算有类似的东西了。
02:30
I can sink水槽 my teeth into this."
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我可以拿出来大讲特讲。”
02:32
So let's do it. So here we go for the first time ever,
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来吧,全世界有史以来第一次
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a world世界 premiere首映 view视图 of this spaghetti意大利面 diagram as an ordered有序 network网络.
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要把错综复杂的图表变成有条理的关系图。
02:38
The circled盘旋 node节点 is the one we're trying to influence影响 --
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圈起来的症结点是我们试图想要去影响
02:40
popular流行 support支持 for the government政府.
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对政府的支持声浪。
02:42
And so now we can look one degrees, two degrees,
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因此,我们可以看,第一层,第二层
02:44
three degrees away from that node节点
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第三层与结点间的关系
02:46
and eliminate消除 three-quarters四分之三 of the diagram outside that sphere领域 of influence影响.
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然后去除图表中的四分之三没有在范围里的影响。
02:49
Within that sphere领域,
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在这个范围中
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most of those nodes节点 are not actionable, like the harshness苛刻 of the terrain地形,
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大部分的结点是不可动的,如险峻的地势
02:54
and a very small minority少数民族 are actual实际 military军事 actions行动.
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少数是军事行动。
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Most are non-violent非暴力 and they fall秋季 into two broad广阔 categories类别:
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大部分是非暴力的,并且可分为两大类别:
03:01
active活性 engagement订婚 with ethnic民族 rivalries竞争 and religious宗教 beliefs信仰
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道德抗争与宗教信条的激烈交战
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and fair公平, transparent透明 economic经济 development发展
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与公平、透明的经济发展
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and provisioning配置 of services服务.
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和供应服务。
03:08
I don't know about this, but this is what I can decipher解码 from this diagram
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我不知道这些是什么,可是我能在24秒内通过图表
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in 24 seconds.
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分析出这些东西。
03:13
When you see a diagram like this, I don't want you to be afraid害怕.
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当你看到一个像这样的图表,你不需要感到害怕。
03:15
I want you to be excited兴奋. I want you to be relieved安心.
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我要你觉得开心,感到松了一口气。
03:18
Because simple简单 answers答案 may可能 emerge出现.
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因为简单的答案会浮现。
03:20
We're discovering发现 in nature性质 that simplicity简单 often经常 lies
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我们发现在自然界里,复杂的反面
03:22
on the other side of complexity复杂.
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其实就是简单
03:24
So for any problem问题, the more you can zoom放大 out and embrace拥抱 complexity复杂,
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所以对任何问题,你越是往后退,涵盖复杂,
03:27
the better chance机会 you have of zooming缩放 in
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你越是有机会聚焦
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on the simple简单 details细节 that matter most.
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在重要的简单的细节上。
03:31
Thank you.
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感谢各位。
03:33
(Applause掌声)
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(鼓掌)
Translated by Jenny Yang
Reviewed by Angelia King

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ABOUT THE SPEAKER
Eric Berlow - Ecologist
TED Senior Fellow Eric Berlow studies ecology and networks, exposing the interconnectedness of our ecosystems with climate change, government, corporations and more.

Why you should listen

Eric Berlow is an ecologist and network scientist who specializes in not specializing. A TED Senior Fellow, Berlow is recognized for his research on food webs and ecological networks and for creative approaches to complex problems. He was the founding director of the University of California's first environmental science center inside Yosemite National Park, where he continues to develop data-driven approaches to managing natural ecosystems. 

In 2012 Berlow founded Vibrant Data Labs, which builds tools to use data for social good. Berlow's current projects range from helping spark an egalitarian personal data economy to protecting endangered amphibians in Yosemite to crowd-sourcing novel insights about human creativity. Berlow holds a Ph.D. from Oregon State University in marine ecology.

 

 

More profile about the speaker
Eric Berlow | Speaker | TED.com

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