---
id:
aliases: []
title: _Fooled by Randomness_
tags:
  - authorship/original
  - destiny/permanent
  - status/complete
  - topic/risk
  - type/media-commentary
---
# _Fooled by Randomness_

This is the commentary companion to [[taleb_2001_fooled-by-randomness]].

## Critiques

### Intellectual Insecurity

So far I've gotten the distinct impression
that statistics hurt Taleb's head,
and he is intimidated by academics.

#### "Logic Without Statistics"

FbR uses few citations,
relying on the strength of Taleb's logic alone, by his own stating.

Taleb argues this strategy is perfectly legitimate, which is _true_,
but it does not follow that it makes for the most robust argument.
In recent editions of the text, Taleb claims that his editors have implored him
to provide figures, graphs, studies, etc. as---_he agrees_---would be expected
for any similar book on statistical phenomena, but he refuses.

I don't find this approach charming at all,
especially considering how critical Taleb is of demagogues.

Juxtaposing FbR with [[hubbard_2020_failure]],
which is a more traditional work of statistical thought,
well researched, and with a thorough bibliography,
Taleb's arguments are considerably less satisfying.
When Hubbard is wrong, it's clear his interpretation is flawed in that instance,
when _Taleb_ is wrong, I question the foundation of all his arguments.
Less politely, I wonder why I'm listening to him just make up justifications
for what he already believed.

So far I'm lead to believe what Taleb means by "logic"
is only anecdotes and aphorisms.
He wants to be Plato, but he comes off as "this came to me in a dream".

> [!quote] Chapter 2? (pp.)
> Scientists can not meaningfully describe the probability of black swans
> because it would require observing the future.

> [!quote] Chapter 2? (pp.)
> Accountants don't care about probability,
> if they did they wouldn't be accountants,
> and if they were they would make an error on your tax returns.

#### Qualitative Probability

Taleb loses me in the introduction
when he states that he defines _probability_ qualitatively.

[[hubbard_2020_failure]] gives a comprehensive history
of the terms **uncertainty**, **probability**, and **risk**,

Later it's clear he what he means by probability is **uncertainty**.

> [!quote] Chapter 2? (pp.)
> Certainty is something likely to occur in the largest number of possible worlds,
> uncertainty concerns what is unlikely to occur in many possible worlds.

#### The Black Swan

**The black swan**, or the unforeseen event,
is the idea that no quantitative risk management is possible
because of the possibility of a single loss
that would negate all previous gains.

Hubbard points out that Taleb's position is paradoxical.

> [!quote] [[hubbard_2020_failure#A Note About Black Swans]]
> ...he is assessing the validity of using historical examples
> by using _historical examples_.

Besides its credibility, the suggestion reeks of intellectual insecurity.
It is very convenient to dismiss the whole of statistics based on logic alone,
much more so to dismiss the tests used to prove the validity of statistical methods.

### False Lucky Fools

Taleb repeatedly conflates legitimate lucky fools
with people with ideas he doesn't like.

> [[hubbard_2020_failure]]
> does a much better job of explaining "lucky fools"
> (see [[the-failure-of-risk-management#Red Baron Effect]]).

#### Nero Tulip vs. John

Taleb uses the story of Nero Tulip,
an incredibly cautious investor,
and his success over his risk-loving rival John
to promote the idea that modern quantitative methods
(as John is presumed to represent)
are inherently flawed.

One of many problems with this presentation
is that John is described as young, inexperienced,
and of low intelligence.
John is a typical lucky fool:
there is no indication that he has any strategy,
much less that he is practicing modern portfolio theory.

If I mistake Taleb's intent,
and the story was only meant to convey
that experienced, conscientious, and cautious decision-making
can lead a person to success,
then I'm not sure who he's arguing against.