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TED演讲:城市与企业中的奇妙数学(4)

时间:2018-10-26 07:36来源:互联网 提供网友:mapleleaf   字体: [ ]
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    (单词翻译:双击或拖选)

   It goes up by 15 percent,  对于所有事物都是如此

  and you have a 15 percent savings  你还能节省
  on the infrastructure1. 15%的基础设施经费
  This, no doubt, is the reason  这无疑就是
  why a million people a week are gathering2 in cities.  城市每周新增一百万人口的原因
  Because they think that all those wonderful things --  他们觉得那些美好的事物
  like creative people, wealth, income --  包括创新人才,财富,收入
  is what attracts them,  对他们有吸引力
  forgetting about the ugly and the bad.  而忘记了城市丑恶的一面
  What is the reason for this?  原因何在
  Well I don't have time to tell you about all the mathematics,  我没有时间跟大家解释其中的数学
  but underlying3 this is the social networks,  社会网络是其基础
  because this is a universal phenomenon.  因为这是个普遍现象
  This 15 percent rule  这个15%的规律
  is true  是真的
  no matter where you are on the planet --  无论你在地球上哪个角落
  Japan, Chile,  日本,智利
  Portugal, Scotland, doesn't matter.  葡萄牙,苏格兰,都一样
  Always, all the data shows it's the same,  尽管城市的发展是各自独立的
  despite the fact that these cities have evolved independently.  然而所有数据显示的结果都是一样的
  Something universal is going on.  这里蕴藏着一个普遍的规律
  The universality, to repeat, is us --  普遍性在于我们
  that we are the city.  我们就是城市
  And it is our interactions and the clustering of those interactions.  城市是我们相互活动以及这些活动的汇集
  So there it is, I've said it again.  我刚才说过了
  So if it is those networks and their mathematical structure,  那些网络和它们的数学结构
  unlike biology, which had sublinear scaling,  与呈次线性的生物界不同
  economies of scale,  生物是规模经济
  you had the slowing of the pace of life  会随着规模的增大
  as you get bigger.  而减缓生长的速度
  If it's social networks with super-linear scaling --  如果城市的社会网络呈现超线性
  more per capita --  人均数值越高
  then the theory says  那么依照原理
  that you increase the pace of life.  生长速度便会增加
  The bigger you are, life gets faster.  你长得越大,生长速度就越快
  On the left is the heart rate showing biology.  左边是心率
  On the right is the speed of walking  右边是行走的速度
  in a bunch of European cities,  在许多欧洲城市
  showing that increase.  显示这样的增长情况
  Lastly, I want to talk about growth.  最后,我想谈谈增长
  This is what we had in biology, just to repeat.  在重复一下,这是生物学的情况
  Economies of scale  规模经济
  gave rise to this sigmoidal behavior.  使之呈现反曲现象
  You grow fast and then stop --  你快速生长接着停止生长
  part of our resilience.  这是我们回复力的表现
  That would be bad for economies and cities.  这对经济和城市都不利
  And indeed, one of the wonderful things about the theory  说实在的,这个原理奇妙之处之一在于
  is that if you have super-linear scaling  如果财富创造和创新的
  from wealth creation and innovation,  规模增长呈超线性
  then indeed you get, from the same theory,  那么根据同一理论,你必定会得到
  a beautiful rising exponential curve -- lovely.  一条美妙的正态曲线,漂亮极了
  And in fact, if you compare it to data,  实际上,如果你把它与数据进行对比
  it fits very well  它非常符合
  with the development of cities and economies.  城市与经济的发展情况
  But it has a terrible catch,  然而,它存在着一个致命局限
  and the catch  这个局限就是
  is that this system is destined4 to collapse5.  这个系统注定会崩溃
  And it's destined to collapse for many reasons --  它之所以注定会崩溃,原因有很多
  kind of Malthusian reasons -- that you run out of resources.  多少出于此消彼长的原因,资源枯竭了
  And how do you avoid that? Well we've done it before.  如何避免这种情况呢,我们曾尝试过
  What we do is,  我们所做的是
  as we grow and we approach the collapse,  当我们发展到接近崩溃的阶段
  a major innovation takes place  一项重大的创新出现了
  and we start over again,  我们又从新开始
  and we start over again as we approach the next one, and so on.  向下一个目标靠近,以此类推
  So there's this continuous cycle of innovation  所以这个周而复始的创新周期
  that is necessary  对于维系发展
  in order to sustain growth and avoid collapse.  避免崩溃,是十分必要的
  The catch, however, to this  然而,这一局限
  is that you have to innovate  要求你必须
  faster and faster and faster.  不断加速创新
  So the image  所以,情况就是
  is that we're not only on a treadmill6 that's going faster,  我们不仅坐在一架高速运转的机器上
  but we have to change the treadmill faster and faster.  我们还必须加速对机器的更新
  We have to accelerate on a continuous basis.  我们必须不停地加速
  And the question is: Can we, as socio-economic beings,  问题是,作为社会经济的存在
  avoid a heart attack?  我们能够避免心脏病发作吗
  So lastly, I'm going to finish up in this last minute or two  最后,我会花一两分钟
  asking about companies.  看看公司的情况
  See companies, they scale.  公司的规模不断增大
  The top one, in fact, is Walmart on the right.  上面右边的是沃尔玛
  It's the same plot.  同样的图表
  This happens to be income and assets  这张图显示的是收入和资产
  versus7 the size of the company as denoted by its number of employees.  比上公司规模,即员工人数
  We could use sales, anything you like.  我们还可以用销售量,什么都行
  There it is: after some little fluctuations8 at the beginning,  看,当公司进行革新
  when companies are innovating,  一开始出现轻微浮动
  they scale beautifully.  它们长势良好
  And we've looked at 23,000 companies  我们观察了23000家
  in the United States, may I say.  美国境内的企业
  And I'm only showing you a little bit of this.  我今天展示给大家的只是冰山一角
  What is astonishing about companies  企业令人意想不到的地方是
  is that they scale sublinearly  是它们的规模增长呈次线性
  like biology,  就像生物学的情况一样
  indicating that they're dominated,  这表明主导它们的
  not by super-linear  并不是超线性的
  innovation and ideas;  创新活动和思想
  they become dominated  主导它们的
  by economies of scale.  是规模经济
  In that interpretation,  具体说来
  by bureaucracy and administration,  就是官僚主义和行政部门
  and they do it beautifully, may I say.  可以说,它们干得很棒
  So if you tell me the size of some company, some small company,  所以,如果你告诉我某个小企业的规模
  I could have predicted the size of Walmart.  我就可以估摸出沃尔玛的规模
  If it has this sublinear scaling,  如果其规模的增长呈次线性
  the theory says  依照原理
  we should have sigmoidal growth.  我们应该会得到一个S型的增长
  There's Walmart. Doesn't look very sigmoidal.  这是沃尔玛,看起来并不十分像个S
  That's what we like, hockey sticks.  我们喜欢这个形状,冰球棍
  But you notice, I've cheated,  但如果你仔细看,我其实做了手脚
  because I've only gone up to '94.  因为我展示的部分只到94年
  Let's go up to 2008.  我们看看到了2008年情况如何
  That red line is from the theory.  红线表示的是理论上的预测
  So if I'd have done this in 1994,  如果我1994年开始制表
  I could have predicted what Walmart would be now.  我就能够预测到沃尔玛现在的情况
  And then this is repeated  这个情况
  across the entire spectrum9 of companies.  在所有公司的生命周期中不断重复
  There they are. That's 23,000 companies.  这些就是所有23000家公司
  They all start looking like hockey sticks,  它们一开始都呈现冰球棍的形状
  they all bend over,  接着都弯下来了
  and they all die like you and me.  最后它们就像你我一样难逃一死
  Thank you.  谢谢大家

点击收听单词发音收听单词发音  

1 infrastructure UbBz5     
n.下部构造,下部组织,基础结构,基础设施
参考例句:
  • We should step up the development of infrastructure for research.加强科学基础设施建设。
  • We should strengthen cultural infrastructure and boost various types of popular culture.加强文化基础设施建设,发展各类群众文化。
2 gathering ChmxZ     
n.集会,聚会,聚集
参考例句:
  • He called on Mr. White to speak at the gathering.他请怀特先生在集会上讲话。
  • He is on the wing gathering material for his novels.他正忙于为他的小说收集资料。
3 underlying 5fyz8c     
adj.在下面的,含蓄的,潜在的
参考例句:
  • The underlying theme of the novel is very serious.小说隐含的主题是十分严肃的。
  • This word has its underlying meaning.这个单词有它潜在的含义。
4 destined Dunznz     
adj.命中注定的;(for)以…为目的地的
参考例句:
  • It was destined that they would marry.他们结婚是缘分。
  • The shipment is destined for America.这批货物将运往美国。
5 collapse aWvyE     
vi.累倒;昏倒;倒塌;塌陷
参考例句:
  • The country's economy is on the verge of collapse.国家的经济已到了崩溃的边缘。
  • The engineer made a complete diagnosis of the bridge's collapse.工程师对桥的倒塌做了一次彻底的调查分析。
6 treadmill 1pOyz     
n.踏车;单调的工作
参考例句:
  • The treadmill has a heart rate monitor.跑步机上有个脉搏监视器。
  • Drugs remove man from the treadmill of routine.药物可以使人摆脱日常单调的工作带来的疲劳。
7 versus wi7wU     
prep.以…为对手,对;与…相比之下
参考例句:
  • The big match tonight is England versus Spain.今晚的大赛是英格兰对西班牙。
  • The most exciting game was Harvard versus Yale.最富紧张刺激的球赛是哈佛队对耶鲁队。
8 fluctuations 5ffd9bfff797526ec241b97cfb872d61     
波动,涨落,起伏( fluctuation的名词复数 )
参考例句:
  • He showed the price fluctuations in a statistical table. 他用统计表显示价格的波动。
  • There were so many unpredictable fluctuations on the Stock Exchange. 股票市场瞬息万变。
9 spectrum Trhy6     
n.谱,光谱,频谱;范围,幅度,系列
参考例句:
  • This is a kind of atomic spectrum.这是一种原子光谱。
  • We have known much of the constitution of the solar spectrum.关于太阳光谱的构成,我们已了解不少。
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TAG标签:   TED演讲
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