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Translator: Joseph Geni
Reviewer: Morton Bast
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譯者: Yen Hung 洪晨晏
審譯者: Olivia Lo
00:12
Once upon a time
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曾幾何時,
00:14
we lived in an economy of financial growth and prosperity.
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我們生活在經濟與金融
的增長和繁榮中。
00:20
This was called the Great Moderation,
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這就是人們所說的“大穩健”時期,
00:24
the misguided belief by most economists,
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這種誤導性的看法被大多數經濟學家,
00:28
policymakers and central banks
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政策制定者以及中央銀行所相信著。
00:31
that we have transformed into a new world
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他們深信我們已經演進到一個新時代,
00:34
of never-ending growth and prosperity.
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一個永不停止增長和永葆繁榮的世界,
00:38
This was seen by robust and steady GDP growth,
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這個結論是由強健和穩定的GDP增長、
00:43
by low and controlled inflation,
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受到良好控制的低通貨膨脹率、
00:46
by low unemployment,
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低失業率,
00:48
and controlled and low financial volatility.
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和受控制的低金融波動率而得出的。
00:52
But the Great Recession in 2007 and 2008,
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但是2007年和2008年的大衰退,
00:59
the great crash, broke this illusion.
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和大崩盤,打破了這個繁榮假象。
01:02
A few hundred billion dollars of losses in the financial sector
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金融行業損失了數千億美元,
01:07
cascaded into five trillion dollars
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整個世界的GDP
01:11
of losses in world GDP
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流失了五兆美元,
01:13
and almost $30 trillion losses
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還有全球股市大概虧損了
01:17
in the global stock market.
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30兆美元。
01:21
So the understanding of this Great Recession
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因此,人們對大衰退的理解
01:26
was that this was completely surprising,
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是一場完全出乎常理的意外、
01:31
this came out of the blue,
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是突然湧現的危機,
01:33
this was like the wrath of the gods.
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就像是眾神的憤怒一般。
01:36
There was no responsibility.
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沒有人有辦法為此負責。
01:37
So, as a reflection of this,
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作為對這場危機的反饋,
01:39
we started the Financial Crisis Observatory.
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我們成立了金融危機觀測局。
01:43
We had the goal to diagnose in real time
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我們當時要達到的目標
01:47
financial bubbles
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是能實時判斷出金融泡沫,
01:49
and identify in advance their critical time.
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和預先判斷出它們的臨界點。
01:55
What is the underpinning, scientifically, of this financial observatory?
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具體來說,是什麼架構了
金融觀測台的地基與科學方法呢?
01:58
We developed a theory called "dragon-kings."
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是我們開發的一個叫“龍王”的理論。
02:03
Dragon-kings represent extreme events
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"龍王理論"代表著各個種類中的
02:06
which are of a class of their own.
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極端事件。
02:10
They are special. They are outliers.
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他們是特殊的,也是異常值,
02:12
They are generated by specific mechanisms
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他們衍生於某些特殊機制,
02:16
that may make them predictable,
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因此是可以預測的
02:19
perhaps controllable.
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還可能是可控制的。
02:22
Consider the financial price time series,
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“龍王理論"考慮到了
金融價格的時間序列,
02:25
a given stock, your perfect stock,
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和一支給定的股票,你的最佳股票
02:28
or a global index.
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或者一個全球指數
02:30
You have these up-and-downs.
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你能看到這些上下起伏的狀況。
02:32
A very good measure of the risk of this financial market
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峰谷法則是一個金融市場
非常好的測量風險工具,
02:36
is the peaks-to-valleys that represent
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從高峰至低谷呈現著
02:38
a worst case scenario
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一個最糟糕的劇情,
02:40
when you bought at the top and sold at the bottom.
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你在最高點買入,又在最低價賣出。
02:44
You can look at the statistics, the frequency of the occurrence
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你可以看到統計資料--不同規模的峰谷法則
02:48
of peak-to-valleys of different sizes,
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的出現頻率,
02:50
which is represented in this graph.
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這些都會在表格裡呈現。
02:53
Now, interestingly, 99 percent
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現在有趣的是,99%的
02:56
of the peak-to-valleys of different amplitudes
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不同振幅的峰谷法則
02:59
can be represented by a universal power law
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都可以由普通的冪次定律反映出來
03:03
represented by this red line here.
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由這條紅線反映。
03:06
More interestingly, there are outliers, there are exceptions
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更有趣的是,這還是離群值,這些屬於特例。
03:11
which are above this red line,
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在這條紅線之上
03:12
occur 100 times more frequently, at least,
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和那些基於其他99%峰谷法則校準的
03:16
than the extrapolation would predict them to occur
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所預測會發生的推論相比
03:20
based on the calibration of the 99 percent remaining
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發生的頻率
03:24
peak-to-valleys.
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至少超過100倍以上。
03:27
They are due to trenchant dependancies
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這可是個依聯性極強的準則,
03:31
such that a loss is followed by a loss
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損失的後頭跟著一個損失,
03:35
which is followed by a loss which is followed by a loss.
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又接續著另一個損失。
03:38
These kinds of dependencies
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大多標準風險管理工具都遺漏了
03:41
are largely missed by standard risk management tools,
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如此露骨的關聯性,
03:46
which ignore them and see lizards
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當他們應該留意"龍王"的時候
03:49
when they should see dragon-kings.
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常常是忽略它而只看到一些蜥蜴。
03:53
The root mechanism of a dragon-king
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"龍王理論"的根本機制
03:57
is a slow maturation towards instability,
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是一項緩慢而走向不穩定的成熟過程
04:00
which is the bubble,
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它就是泡沫,
04:02
and the climax of the bubble is often the crash.
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而泡沫的頂點往往被隨破滅的開始。
04:04
This is similar to the slow heating of water
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這跟用文火燒開水很相似
04:08
in this test tube reaching the boiling point,
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在實驗中當試管中的水達到沸點時,
04:11
where the instability of the water occurs
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裡頭的水將產生不穩定的狀態,
04:13
and you have the phase transition to vapor.
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轉變型態為蒸氣相。
04:17
And this process, which is absolutely non-linear --
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而這個過程絕非是線性演變,
04:20
cannot be predicted by standard techniques --
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故無法透過標準化技術去預測,
04:23
is the reflection of a collective emergent behavior
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這是集體緊急行為的反射,
04:27
which is fundamentally endogenous.
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是根深蒂固的內在根性。
04:29
So the cause of the crash, the cause of the crisis
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所以,泡沫破滅的根源,危機的根源
04:32
has to be found in an inner instability of the system,
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須從系統內在的不穩定中發覺,
04:36
and any tiny perturbation will make this instability occur.
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且任何細微的擾動
都會讓這個不穩定現形。
04:42
Now, some of you may have come to the mind
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現在你們當中某些人可能已經察覺,
04:45
that is this not related to the black swan concept
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這和黑天鵝效應並不相關,
04:48
you have heard about frequently?
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你經常聽到這個名詞嗎?
04:51
Remember, black swan is this rare bird
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要記得,黑天鵝是稀有的鳥類,
04:53
that you see once and suddenly shattered your belief
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那種你才看過一次,便會讓人突然粉碎
04:57
that all swans should be white,
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過往"天鵝都該是白色的"那種信念
04:59
so it has captured the idea of unpredictability,
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所以它也囊括著不可預測性、不可獲知性,
05:03
unknowability, that the extreme events
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表示那些極端的事件
05:04
are fundamentally unknowable.
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根本就無法得知。
05:07
Nothing can be further
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幾乎沒有什麼能脫離
05:09
from the dragon-king concept I propose,
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我提出的"龍王理論"範疇,
05:11
which is exactly the opposite, that most extreme events
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它恰好完全相異於大多數的極端事件,
05:15
are actually knowable and predictable.
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是可獲知且可預測的。
05:18
So we can be empowered and take responsibility
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因此我們可以擁有權力並擔起責任
05:22
and make predictions about them.
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去對這些事件進行預測。
05:24
So let's have my dragon-king burn this black swan concept.
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現在就讓我的龍王來燒掉黑天鵝吧!
05:27
(Laughter)
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(笑聲)
05:29
There are many early warning signals
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有很多先期的警報訊號
05:32
that are predicted by this theory.
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可以透過這個理論預測。
05:34
Let me just focus on one of them:
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讓我為您舉例說明,
05:36
the super-exponential growth with positive feedback.
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這個超級指數成長伴隨著正向的反饋,
05:39
What does it mean?
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這是什麼意思呢?
05:40
Imagine you have an investment
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假想你現在進行一項投資,
05:43
that returns the first year five percent,
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第一年你獲得了百分之五的報酬,
05:46
the second year 10 percent, the third year 20 percent,
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第二年百分之十、第三年百分之二十,
05:49
the next year 40 percent. Is that not marvelous?
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再下一年有百分之四十,
這不是很令人驚奇嗎?
05:52
This is a super-exponential growth.
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這就是超級指數成長。
05:55
A standard exponential growth corresponds
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一種標準指數成長,相對於其他增長
05:57
to a constant growth rate, let's say, of 10 percent
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比如說線性增長只維持在百分之十。
06:01
The point is that, many times during bubbles,
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重點在於,在泡沫化期間重複演變了很多次
06:04
there are positive feedbacks which can be of many times,
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諸多正回饋在多次演變中產生,
06:08
such that previous growths enhance,
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過程中到達先前的成長增強幅度
06:11
push forward, increase the next growth
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再更往前推進,增長到下一個成長級距,
06:15
through this kind of super-exponential growth,
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直至超級指數成長的程度
06:17
which is very trenchant, not sustainable.
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它是非常強而銳利的,並不是維持穩定發展的,
06:20
And the key idea is that the mathematical solution
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主要概念是來自於
06:24
of this class of models exhibit finite-time singularities,
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表現在這類有限時間奇異點模型的數學解法。
06:27
which means that there is a critical time
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意思是在某個臨界時間上,
06:31
where the system will break, will change regime.
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它的系統將崩解,改變其體系,
06:34
It may be a crash. It may be just a plateau, something else.
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這可能是崩盤,也可能是平穩的,或其他可能
06:37
And the key idea is that the critical time,
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關鍵放在臨界時間上。
06:39
the information about the critical time is contained
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在早期發展超級指數成長時,
06:42
in the early development of this super-exponential growth.
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有關臨界時間的資訊是包含在內的。
06:47
We have applied this theory early on, that was our first success,
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我們前期將這個理論應用在實驗中,
06:52
to the diagnostic of the rupture of key elements
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也是我們第一次成功地
06:55
on the iron rocket.
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診斷出鐵火箭破裂的關鍵要素。
06:58
Using acoustic emission, you know, this little noise
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我們採用聲發射器這種你可以聽見
07:01
that you hear a structure emit, sing to you
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它發出小小噪音在對著你唱歌的東西。
07:03
when they are stressed, and reveal the damage going on,
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當它承受壓力,開始顯現損壞時
07:07
there's a collective phenomenon of positive feedback,
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便產生集體的正回饋現象,
07:09
the more damage gives the more damage,
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也就是越來越多的損壞會伴隨著更多損壞。
07:11
so you can actually predict,
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因此你可以在可能的範圍間
07:13
within, of course, a probability band,
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去確切的預測
07:15
when the rupture will occur.
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它的破裂何時會產生。
07:17
So this is now so successful that it is used
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所以現在可以成功地用在
07:20
in the initial phase of [unclear] the flight.
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確認飛機[能否]飛行的初期階段。
07:24
Perhaps more surprisingly, the same type of theory
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也許更加出奇的是,相同的理論形式
07:27
applies to biology and medicine,
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也能運用在生物學或是醫療上,
07:30
parturition, the act of giving birth, epileptic seizures.
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像是在分娩、生產、癲癬發作時。
07:33
From seven months of pregnancy, a mother
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從懷孕七個月,母體開始感到
07:37
starts to feel episodic precursory contractions of the uterus
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陣陣的子宮收縮前兆,
07:43
that are the sign of these maturations
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這類顯著朝向不穩定的、
07:47
toward the instability, giving birth to the baby,
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將要生下寶寶的成熟過程,
07:50
the dragon-king.
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龍王理論的徵兆。
07:52
So if you measure the precursor signal,
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所以假如去測量這些前兆
07:55
you can actually identify pre- and post-maturity problems
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就可以預先判斷
08:01
in advance.
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事件發生前後的問題。
08:03
Epileptic seizures also come in a large variety of size,
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癲癬發作也是有各種不同的形式,
08:06
and when the brain goes to a super-critical state,
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當大腦進入了超臨界狀態時,
08:10
you have dragon-kings which have a degree of predictability
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採用龍王理論能有一定程度的預見,
08:13
and this can help the patient to deal with this illness.
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進而協助病患去處理自身症狀。
08:19
We have applied this theory to many systems,
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我們已經在許多系統中應用這個理論,
08:21
landslides, glacier collapse,
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走山、冰川崩塌,
08:24
even to the dynamics of prediction of success:
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甚至是成功地預測熱門動態,
08:27
blockbusters, YouTube videos, movies, and so on.
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像是賣座鉅片、YouTube短片、電影等等。
08:32
But perhaps the most important application
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但或許最重要的應用
08:35
is for finance, and this theory
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是應用在金融面。
08:37
illuminates, I believe, the deep reason
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我相信這個理論闡明了
我們曾經歷過的金融危機,
08:41
for the financial crisis that we have gone through.
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其深層的原因
08:43
This is rooted in 30 years of history of bubbles,
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根自於三十年的泡沫歷史。
08:48
starting in 1980, with the global bubble
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自1980年起
08:51
crashing in 1987,
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全世界的泡沫在1987年破裂,
08:53
followed by many other bubbles.
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接連在後的有其他諸多泡沫,
08:56
The biggest one was the "new economy" Internet bubble
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當中最大的叫做2000年的"新經濟"網路泡沫
08:58
in 2000, crashing in 2000,
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在2000年破裂。
09:00
the real estate bubbles in many countries,
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之後許多國家的房地產泡沫,
09:02
financial derivative bubbles everywhere,
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各處充斥著金融衍生產品泡沫,
09:05
stock market bubbles also everywhere,
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股市泡沫也是無所不在,
09:07
commodity and all bubbles, debt and credit bubbles --
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商品與各種泡沫,債務與信貸泡沫---
09:11
bubbles, bubbles, bubbles.
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泡沫,泡沫,泡沫
09:14
We had a global bubble.
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我們共有這全球性泡沫,
09:17
This is a measure of global overvaluation
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這是全球市場被高估的程度,
09:21
of all markets, expressing what I call
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顯露出我所指的,
09:25
an illusion of a perpetual money machine
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一台永久印鈔機的幻覺
09:28
that suddenly broke in 2007.
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突然在2007年崩盤了。
09:32
The problem is that we see the same process,
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問題在於我們總看到相同的策略,
09:36
in particular through quantitative easing,
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特別是透過量化寬鬆,
09:39
of a thinking of a perpetual money machine nowadays
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各國政府老想著要永遠打開印鈔機
去解決金融危機
09:42
to tackle the crisis since 2008 in the U.S., in Europe,
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打從2008年起,
09:47
in Japan.
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在美國、歐洲、日本都是。
09:49
This has very important implications
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這有著非常重要的意義
09:51
to understand the failure of quantitative easing
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來幫助我們理解量化寬鬆
09:55
as well as austerity measures
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以及緊縮政策為何會失敗。
09:57
as long as we don't attack the core,
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除非我們直擊核心,
10:00
the structural cause of this perpetual money machine thinking.
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解決這種永久印刷機的結構性原因。
10:05
Now, these are big claims.
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這些都是龐大的主張,
10:08
Why would you believe me?
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為何你需要相信我呢?
10:11
Well, perhaps because, in the last 15 years
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嗯,也許是因為在過去的15年裡
10:14
we have come out of our ivory tower,
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我們從象牙塔裡走了出來
10:17
and started to publish ex ante --
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並開始發表了"事前"
10:20
and I stress the term ex ante, it means "in advance" —
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我強調這個詞"事前",意思指的是"預先"
10:23
before the crash confirmed
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在確認泡沫存在以及金融過剩,
10:25
the existence of the bubble or the financial excesses.
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在崩盤以前。
10:28
These are a few of the major bubbles
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這些是近期歷史中,
10:31
that we have lived through in recent history.
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我們已經歷的一些大型泡沫。
10:36
Again, many interesting stories for each of them.
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這些泡沫都有其有趣故事。
10:39
Let me tell you just one or two stories
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再一次地,讓我告訴各位其中一兩件
10:42
that deal with massive bubbles.
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怎麼處理大規模泡沫的故事。
10:44
We all know the Chinese miracle.
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我們都知道中國奇蹟。
10:46
This is the expression of the stock market
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這是股市的大規模泡沫展示,
10:49
of a massive bubble, a factor of three,
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僅在短短數年間,指數跳漲了三倍,
10:52
300 percent in just a few years.
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300%
10:54
In September 2007,
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在2007年的九月,
10:57
I was invited as a keynote speaker of a macro hedge fund
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我受邀到一個總體對沖基金管理人會議
11:01
management conference,
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去做專題演講。
11:03
and I showed to the conference a prediction
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我在會議上做了預測,
11:07
that by the end of 2007, this bubble
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在2007年底前
11:12
would change regime.
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這顆泡沫就會發生質變。
11:14
There might be a crash. Certainly not sustainable.
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可能是場崩盤,鐵定動盪。
11:17
Now, how do you believe the very smart,
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你們相信這群絕頂聰明、積極、
11:22
very motivated, very informed macro hedge fund managers
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又見廣多聞的總體對沖基金經理人們
11:27
reacted to this prediction?
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對這個預測有何反應嗎?
11:29
You know, they had made billions
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你們知道嗎,他們直到現在
11:31
just surfing this bubble until now.
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已經丟下數十億在這棵泡沫上衝浪。
11:34
They told me, "Didier,
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他們對我說: "Didier"
11:36
yeah, the market might be overvalued,
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"是啦,這個市場確實是可能被高估"
11:39
but you forget something.
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"但你可能忘了"
11:41
There is the Beijing Olympic Games coming
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"2008年八月的北京奧運就要來了"
11:43
in August 2008, and it's very clear that
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"顯然地"
11:45
the Chinese government is controlling the economy
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"中國政府正在控制經濟"
11:48
and doing what it takes
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"採取一切手段"
11:50
to also avoid any wave and control the stock market."
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"也避免任何波動並控制股票市場"
11:54
Three weeks after my presentation,
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在我發表完的三週之後
11:57
the markets lost 20 percent
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市值就蒸發了百分之二十,
11:59
and went through a phase of volatility,
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在經歷劇烈的波動後,
12:01
upheaval, and a total market loss of
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到了當年年底,
12:04
70 percent until the end of the year.
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總市值已經損失了百分之七十。
12:06
So how can we be so collectively wrong
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我們怎麼會犯下這種集體錯誤?
12:09
by misreading or ignoring the science
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怎麼會在發展成
即將轉變、系統已成熟的時候
12:13
of the fact that when an instability has developed,
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誤解或是忽略了這樣的科學證據。
12:16
and the system is ripe, any perturbation
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任何一丁點擾動
12:18
makes it essentially impossible to control?
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都會讓其無法控制
12:22
The Chinese market collapsed, but it rebounded.
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中國市場崩垮了,而後再次復甦
12:27
In 2009, we also identified that this new bubble,
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2009年的時候,我們也辨識出新泡沫。
12:31
a smaller one, was unsustainable,
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一顆規模略小、不穩定的泡沫。
12:34
so we published again a prediction, in advance,
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我們就再次"預先地"公開預測
12:38
stating that by August 2009, the market will correct,
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到2009年八月前,市場會開始修正
12:42
will not continue on this track.
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不會繼續維持現在的軌跡。
12:45
Our critics, reading the prediction,
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批評家讀到這篇預測說
12:48
said, "No, it's not possible.
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"不,絕不可能"
12:52
The Chinese government is there.
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"中國政府還在這兒呢!"
12:53
They have learned their lesson. They will control.
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"他們已經學過教訓、中央會控制一切"
12:56
They want to benefit from the growth."
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"他們想從這波成長裡撈些好處"
12:58
Perhaps these critics have not learned their lesson previously.
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也許這群批評家
根本沒從之前事件得到教訓。
13:01
So the crisis did occur. The market corrected.
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危機確實發生,市場轉向了
13:05
The same critics then said, "Ah, yes,
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這群批評家又改口說
13:08
but you published your prediction.
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"喔,對啦! 但你先公佈這項預測"
13:09
You influenced the market.
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"害得市場受干擾了"
13:11
It was not a prediction."
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"所以這不算真正的預測"
13:14
Maybe I am very powerful then.
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我猜我大概有超凡的影響力吧!
13:18
Now, this is interesting.
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而有趣的是,
13:20
It shows that it's essentially impossible until now
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這顯示了到目前為止
13:23
to develop a science of economics
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要發展一門經濟的科學幾乎不大可能,
13:25
because we are sentient beings who anticipate
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因為我們都是有情感的物種,
13:28
and there is a problem of self-fulfilling prophesies.
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我們會做預測、
還對會自己實現的預知感到障礙。
13:32
So we invented a new way of doing science.
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所以我們發明了一個新科學方法。
13:36
We created the Financial Bubble Experiment.
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創造了金融泡沫實驗
13:38
The idea is the following. We monitor the markets.
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方法如下,我們監測市場
13:41
We identify excesses, bubbles.
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辨識出過剩、泡沫,
13:45
We do our work. We write a report
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盡己之責去寫下報告,
13:48
in which we put our prediction of the critical time.
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放入我們預估的發生危機時機。
13:53
We don't release the report. It's kept secret.
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我們不主動釋出報告,維持機密。
13:55
But with modern encrypting techniques,
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但我們將報告以現代加密技術,
13:58
we have a hash, we publish a public key,
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用hash算法,公開一個公用鑰匙。
14:02
and six months later, we release the report,
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在六個月以後,我們會釋出報告
14:06
and there is authentication.
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並且留有證據。
14:09
And all this is done on an international archive
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這些一切都是在一個國際資料庫中進行,
14:13
so that we cannot be accused of just releasing the successes.
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這樣就沒有人會說
我們釋出的報告影響市場。
14:18
Let me tease you with a very recent analysis.
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讓我告訴各位一個最新的分析。
14:21
17th of May, 2013, just two weeks ago,
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在2013年的五月十七日,也就是兩週前
14:24
we identified that the U.S. stock market
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我們辨識出美國股市
14:26
was on an unsustainable path
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正在走向即將轉變的道路。
14:28
and we released this on our website on the 21st of May
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我們五月二十一日時
發布此訊息在我們的網站上
14:32
that there will be a change of regime.
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說股市將發生權力更迭。
14:34
The next day, the market started to change regime, course.
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隔天,市場就開始變化了。
14:39
This is not a crash.
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這並非崩盤。
14:40
This is just the third or fourth act
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只是大規模泡沫形成過程中的
14:43
of a massive bubble in the making.
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第三或是第四步。
14:46
Scaling up the discussion at the size of the planet,
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擴大討論到整個地球的規模,
14:49
we see the same thing.
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我們也看到了相同的現象,
14:50
Wherever we look, it's observable:
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無論我們在何處觀察都是可觀測的;
14:53
in the biosphere, in the atmosphere, in the ocean,
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在生物圈、在大氣、在海洋
14:56
showing these super-exponential trajectories
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都展現出這種超級指數變化軌跡,
15:00
characterizing an unsustainable path
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展現出即將變化的路徑,
15:03
and announcing a phase transition.
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預告了相同的變化。
15:05
This diagram on the right
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這張右方的圖片
15:07
shows a very beautiful compilation of studies
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顯示著非常精細美麗的研究,
15:10
suggesting indeed that there is a nonlinear -- possibility
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明確指示'著未來數十年間
15:14
for a nonlinear transition just in the next few decades.
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將有一個非線性的重大轉變發生,
15:18
So there are bubbles everywhere.
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所以現在到處都充斥著泡沫。
15:21
From one side, this is exciting
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一方面來說,對我而言實在很興奮,
15:23
for me, as a professor who chases bubbles
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對一個追隨泡沫的教授、
15:26
and slays dragons, as the media has sometimes called me.
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一個屠龍夫,有時候媒體這麼稱呼我。
15:31
But can we really slay the dragons?
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但我們真的能夠"屠龍"嗎?
15:34
Very recently, with collaborators,
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就在最近,和共同研究者
15:36
we studied a dynamical system
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我們一起研究了一個動態系統,
15:39
where you see the dragon-king as these big loops
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龍王在這裡是圈大循環,
15:42
and we were able to apply tiny perturbations at the right times
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我們可以在恰當的時機點施加細微的擾動
15:46
that removed, when control is on, these dragons.
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在控制手段運行下,拿下這些龍王
15:51
"Gouverner, c'est prévoir."
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"Gouverner, c'est prévoir." (法語:預見執政)
15:54
Governing is the art of planning and predicting.
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統治是計畫與預測的藝術
15:59
But is it not the case that this is probably
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但這不或許就是
16:02
one of the biggest gaps of mankind,
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人類至今最大的空缺之一,
16:06
which has the responsibility to steer
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這些不就是讓我們有責任
16:09
our societies and our planet toward sustainability
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使我們的社會與星球能夠
16:12
in the face of growing challenges and crises?
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航向穩定發展的路上嗎?
16:17
But the dragon-king theory gives hope.
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然而龍王理論帶來了希望。
16:21
We learn that most systems have pockets of predictability.
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我們學習到多數的系統具有可預測性,
16:25
It is possible to develop advance diagnostics of crises
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故有機會發展出危機預知診斷技術。
16:30
so that we can be prepared, we can take measures,
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如此我們可以預作準備、採取對策,
16:33
we can take responsibility,
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我們有辦法肩負起責任,
16:36
and so that never again will
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進而阻止如同大衰退時期
16:39
extremes and crises like the Great Recession
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或是歐債危機這樣的極端事件與危機
16:43
or the European crisis take us by surprise.
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來驚嚇我們。
16:47
Thank you.
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謝謝各位。
16:49
(Applause)
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6293
(掌聲)
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