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作者:美-纳西姆·尼古拉斯·塔勒布/译者:万丹 当前章节:15419 字 更新时间:2026-6-15 20:55

that the sterilized randomness of games does not resemble randomness in

real life. Look again at Figure 7 in Chapter 15. The dice average out so

quickly that I can say with certainty that the casino will beat me in the

very near long run at, say, roulette, as the noise will cancel out, though not

the skills (here, the casino's advantage). The more you extend the period

(or reduce the size of the bets) the more randomness, by virtue of averaging,

drops out of these gambling constructs.

The ludic fallacy is present in the following chance setups: random

walk, dice throwing, coin flipping, the infamous digital "heads or tails"

expressed as 0 or 1, Brownian motion (which corresponds to the movement

of pollen particles in water), and similar examples. These setups genTHE

UNCERTAINTY OF T H E PHONY 2 8 7

erate a quality of randomness that does not even qualify as randomness—

protorandomness would be a more appropriate designation. At their core,

all theories built around the ludic fallacy ignore a layer of uncertainty.

Worse, their proponents do not know it!

One severe application of such focus on small, as opposed to large, uncertainty

concerns the hackneyed greater uncertainty principle.

Find the Phony

The greater uncertainty principle states that in quantum physics, one cannot

measure certain pairs of values (with arbitrary precision), such as the

position and momentum of particles. You will hit a lower bound of measurement:

what you gain in the precision of one, you lose in the other. So

there is an incompressible uncertainty that, in theory, will defy science and

forever remain an uncertainty. This minimum uncertainty was discovered

by Werner Heisenberg in 1927. I find it ludicrous to present the uncertainty

principle as having anything to do with uncertainty. Why? First, this

uncertainty is Gaussian. On average, it will disappear—recall that no one

person's weight will significantly change the total weight of a thousand

people. We may always remain uncertain about the future positions of

small particles, but these uncertainties are very small and very numerous,

and they average out—for Pluto's sake, they average out! They obey the

law of large numbers we discussed in Chapter 15. Most other types of randomness

do not average out! If there is one thing on this planet that is not

so uncertain, it is the behavior of a collection of subatomic particles!

Why? Because, as I have said earlier, when you look at an object, composed

of a collection of particles, the fluctuations of the particles tend to

balance out.

But political, social, and weather events do not have this handy property,

and we patently cannot predict them, so when you hear "experts"

presenting the problems of uncertainty in terms of subatomic particles,

odds are that the expert is a phony. As a matter of fact, this may be the

best way to spot a phony.

I often hear people say, "Of course there are limits to our knowledge,"

then invoke the greater uncertainty principle as they try to explain that

"we cannot model everything"—I have heard such types as the economist

Myron Scholes say this at conferences. But I am sitting here in New York,

in August 2006, trying to go to my ancestral village of Amioun, Lebanon.

Beirut's airport is closed owing to the conflict between Israel and the Shi2

8 8 THOSE GRAY SWANS OF EXTREMISTAN

ite militia Hezbollah. There is no published airline schedule that will inform

me when the war will end, if it ends. I can't figure out if my house

will be standing, if Amioun will still be on the map—recall that the family

house was destroyed once before. I can't figure out whether the war is

going to degenerate into something even more severe. Looking into the

outcome of the war, with all my relatives, friends, and property exposed to

it, I face true limits of knowledge. Can someone explain to me why I

should care about subatomic particles that, anyway, converge to a Gaussian?

People can't predict how long they will be happy with recently acquired

objects, how long their marriages will last, how their new jobs will

turn out, yet it's subatomic particles that they cite as "limits of prediction."

They're ignoring a mammoth standing in front of them in favor of

matter even a microscope would not allow them to see.

Can Philosophers Be Dangerous to Society?

I will go further: people who worry about pennies instead of dollars can

be dangerous to society. They mean well, but, invoking my Bastiat argument

of Chapter 8, they are a threat to us. They are wasting our studies of

uncertainty by focusing on the insignificant. Our resources (both cognitive

and scientific) are limited, perhaps too limited. Those who distract us increase

the risk of Black Swans.

This commoditization of the notion of uncertainty as symptomatic of

Black Swan blindness is worth discussing further here.

Given that people in finance and economics are seeped in the Gaussian

to the point of choking on it, I looked for financial economists with philosophical

bents to see how their critical thinking allows them to handle this

problem. I found a few. One such person got a PhD in philosophy, then,

four years later, another in finance; he published papers in both fields, as

well as numerous textbooks in finance. But I was disheartened by him: he

seemed to have compartmentalized his ideas on uncertainty so that he had

two distinct professions: philosophy and quantitative finance. The problem

of induction, Mediocristan, epistemic opacity, or the offensive assumption

of the Gaussian—these did not hit him as true problems. His

numerous textbooks drilled Gaussian methods into students' heads, as

though their author had forgotten that he was a philosopher. Then he

promptly remembered that he was when writing philosophy texts on

seemingly scholarly matters.

T H E U N C E R T A I N T Y O F T H E P H O N Y 2 89

The same context specificity leads people to take the escalator to the

StairMasters, but the philosopher's case is far, far more dangerous since he

uses up our storage for critical thinking in a sterile occupation. Philosophers

like to practice philosophical thinking on me-too subjects that other

philosophers call philosophy, and they leave their minds at the door when

they are outside of these subjects.

The Problem of Practice

As much as I rail against the bell curve, Platonicity, and the ludic fallacy,

my principal problem is not so much with statisticians—after all, these are

computing people, not thinkers. We should be far less tolerant of philosophers,

with their bureaucratic apparatchiks closing our minds. Philosophers,

the watchdogs of critical thinking, have duties beyond those of

other professions.

HOW MANY WITTGENSTEINS CAN DANCE ON THE HEAD OF A PIN?

A number of semishabbily dressed (but thoughtful-looking) people gather

in a room, silently looking at a guest speaker. They are all professional

philosophers attending the prestigious weekly colloquium at a New Yorkarea

university. The speaker sits with his nose drowned in a set of typewritten

pages, from which he reads in a monotone voice. He is hard to

follow, so I daydream a bit and lose his thread. I can vaguely tell that the

discussion revolves around some "philosophical" debate about Martians

invading your head and controlling your will, all the while preventing you

from knowing it. There seem to be several theories concerning this idea,

but the speaker's opinion differs from those of other writers on the subject.

He spends some time showing where his research on these headhijacking

Martians is unique. After his monologue (fifty-five minutes of

relentless reading of the typewritten material) there is a short break, then

another fifty-five minutes of discussion about Martians planting chips and

other outlandish conjectures. Wittgenstein is occasionally mentioned (you

can always mention Wittgenstein since he is vague enough to always seem

relevant).

Every Friday, at four P . M . , the paychecks of these philosophers will hit

their respective bank accounts. A fixed proportion of their earnings, about

16 percent on average, will go into the stock market in the form of an au2

9 0 THOSE GRAY SWANS OF EXTREMISTAN

tomatic investment into the university's pension plan. These people are

professionally employed in the business of questioning what we take for

granted; they are trained to argue about the existence of god(s), the definition

of truth, the redness of red, the meaning of meaning, the difference

between the semantic theories of truth, conceptual and nonconceptual

representations . . . Yet they believe blindly in the stock market, and in the

abilities of their pension plan manager. Why do they do so? Because they

accept that this is what people should do with their savings, because "experts"

tell them so. They doubt their own senses, but not for a second do

they doubt their automatic purchases in the stock market. This domain

dependence of skepticism is no different from that of medical doctors (as

we saw in Chapter 8).

Beyond this, they may believe without question that we can predict societal

events, that the Gulag will toughen you a bit, that politicians know

more about what is going on than their drivers, that the chairman of the

Federal Reserve saved the economy, and so many such things. They may

also believe that nationality matters (they always stick "French," "German,"

or "American" in front of a philosopher's name, as if this has something

to do with anything he has to say). Spending time with these people,

whose curiosity is focused on regimented on-the-shelf topics, feels stifling.

Where Is Popper When You Need Him?

I hope I've sufficiently drilled home the notion that, as a practitioner, my

thinking is rooted in the belief that you cannot go from books to problems,

but the reverse, from problems to books. This approach incapacitates

much of that career-building verbiage. A scholar should not be a

library's tool for making another library, as in the joke by Daniel Dennett.

Of course, what I am saying here has been said by philosophers before,

at least by the real ones. The following remark is one reason I have inordinate

respect for Karl Popper; it is one of the few quotations in this book

that I am not attacking.

The degeneration of philosophical schools in its turn is the consequence

of the mistaken belief that one can philosophize without having

been compelled to philosophize by problems outside philosophy. . . .

Genuine philosophical problems are always rooted outside philosophy

and they die if these roots decay. . . . [emphasis mine] These roots are

THE UNCERTAINTY OF T H E PHONY 2 9 1

easily forgotten by philosophers who "study" philosophy instead of

being forced into philosophy by the pressure of nonphilosophical

problems.

Such thinking may explain Popper's success outside philosophy, particularly

with scientists, traders, and decision makers, as well as his relative

failure inside of it. (He is rarely studied by his fellow philosophers;

they prefer to write essays on Wittgenstein.)

Also note that I do not want to be drawn into philosophical debates

with my Black Swan idea. What I mean by Platonicity is not so metaphysical.

Plenty of people have argued with me about whether I am against "essentialism"

(i.e., things that I hold don't have a Platonic essence), if I

believe that mathematics would work in an alternative universe, or some

such thing. Let me set the record straight. I am a no-nonsense practitioner;

I am not saying that mathematics does not correspond to an objective

structure of reality; my entire point is that we are, epistemologically

speaking, putting the cart before the horse and, of the space of possible

mathematics, risk using the wrong one and being blinded by it. I truly believe

that there are some mathematics that work, but that these are not as

easily within our reach as it seems to the "confirmators."

The Bishop and the Analyst

I am most often irritated by those who attack the bishop but somehow fall

for the securities analyst—those who exercise their skepticism against religion

but not against economists, social scientists, and phony statisticians.

Using the confirmation bias, these people will tell you that religion was

horrible for mankind by counting deaths from the Inquisition and various

religious wars. But they will not show you how many people were killed

by nationalism, social science, and political theory under Stalinism or during

the Vietnam War. Even priests don't go to bishops when they feel ill:

their first stop is the doctor's. But we stop by the offices of many pseudoscientists

and "experts" without alternative. We no longer believe in papal

infallibility; we seem to believe in the infallibility of the Nobel, though, as

we saw in Chapter 17.

2 9 2 THOSE GRAY SWANS OF EXTREMISTAN

Easier Than You Think: The Problem of Decision Under Skepticism

I have said all along that there is a problem with induction and the Black

Swan. In fact, matters are far worse: we may have no less of a problem

with phony skepticism.

a. I can't do anything to stop the sun from nonrising tomorrow (no

matter how hard I try),

b. I can't do anything about whether or not there is an afterlife,

c. I can't do anything about Martians or demons taking hold of my

brain.

But I have plenty of ways to avoid being a sucker. It is not much more

difficult than that.

I conclude Part Three by reiterating that my antidote to Black Swans is

precisely to be noncommoditized in my thinking. But beyond avoiding

being a sucker, this attitude lends itself to a protocol of how to act—not

how to think, but how to convert knowledge into action and figure out

what knowledge is worth. Let us examine what to do or not do with this

in the concluding section of this book.

part à

THE EN"

Chapter Nineteen

HALF AND HALF, OR HOW TO GET EVEN

WITH THE BLACK SWAN

The other half—Remember Apelles—When missing a train can be painful

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