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Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets (Incerto) Paperback – August 23, 2005
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Fooled by Randomness is the word-of-mouth sensation that will change the way you think about business and the world. Nassim Nicholas Taleb–veteran trader, renowned risk expert, polymathic scholar, erudite raconteur, and New York Times bestselling author of The Black Swan–has written a modern classic that turns on its head what we believe about luck and skill.
This book is about luck–or more precisely, about how we perceive and deal with luck in life and business. Set against the backdrop of the most conspicuous forum in which luck is mistaken for skill–the world of trading–Fooled by Randomness provides captivating insight into one of the least understood factors in all our lives. Writing in an entertaining narrative style, the author tackles major intellectual issues related to the underestimation of the influence of happenstance on our lives.
The book is populated with an array of characters, some of whom have grasped, in their own way, the significance of chance: the baseball legend Yogi Berra; the philosopher of knowledge Karl Popper; the ancient world’s wisest man, Solon; the modern financier George Soros; and the Greek voyager Odysseus. We also meet the fictional Nero, who seems to understand the role of randomness in his professional life but falls victim to his own superstitious foolishness.
However, the most recognizable character of all remains unnamed–the lucky fool who happens to be in the right place at the right time–he embodies the “survival of the least fit.” Such individuals attract devoted followers who believe in their guru’s insights and methods. But no one can replicate what is obtained by chance.
Are we capable of distinguishing the fortunate charlatan from the genuine visionary? Must we always try to uncover nonexistent messages in random events? It may be impossible to guard ourselves against the vagaries of the goddess Fortuna, but after reading Fooled by Randomness we can be a little better prepared.
Named by Fortune One of the Smartest Books of All Time
A Financial Times Best Business Book of the Year
- Print length368 pages
- LanguageEnglish
- PublisherRandom House Trade Paperbacks
- Publication dateAugust 23, 2005
- Dimensions5.14 x 0.75 x 7.97 inches
- ISBN-10158799190X
- ISBN-13978-0812975215
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Editorial Reviews
Review
–Malcolm Gladwell, The New Yorker
“Fascinating . . . Taleb will grab you.”
–Peter L. Bernstein, author of Against the Gods: The Remarkable Story of Risk
“Recalls the best of scientist/essayists like Richard Dawkins . . . and Stephen Jay Gould.”
–Michael Schrage, author of Serious Play
“We need a book like this . . . fun to read, refreshingly independent-minded.”
–Robert J. Shiller, author of Irrational Exuberance
About the Author
Taleb’s books have been published in forty-one languages.
Excerpt. © Reprinted by permission. All rights reserved.
Croesus, King of Lydia, was considered the richest man of his time. To this day Romance languages use the expression “rich as Croesus” to describe a person of excessive wealth. He was said to be visited by Solon, the Greek legislator known for his dignity, reserve, upright morals, humility, frugality, wisdom, intelligence, and courage. Solon did not display the smallest surprise at the wealth and splendor surrounding his host, nor the tiniest admiration for their owner. Croesus was so irked by the manifest lack of impression on the part of this illustrious visitor that he attempted to extract from him some acknowledgment. He asked him if he had known a happier man than him. Solon cited the life of a man who led a noble existence and died while in battle. Prodded for more, he gave similar examples of heroic but terminated lives, until Croesus, irate, asked him point-blank if he was not to be considered the happiest man of all. Solon answered: “The observation of the numerous misfortunes that attend all conditions forbids us to grow insolent upon our present enjoyments, or to admire a man’s happiness that may yet, in course of time, suffer change. For the uncertain future has yet to come, with all variety of future; and him only to whom the divinity has [guaranteed] continued happiness until the end we may call happy.”
The modern equivalent has been no less eloquently voiced by the baseball coach Yogi Berra, who seems to have translated Solon’s outburst from the pure Attic Greek into no less pure Brooklyn English with “it ain’t over until it’s over,” or, in a less dignified manner, with “it ain’t over until the fat lady sings.” In addition, aside from his use of the vernacular, the Yogi Berra quote presents an advantage of being true, while the meeting between Croesus and Solon was one of those historical facts that benefited from the imagination of the chroniclers, as it was chronologically impossible for the two men to have been in the same location.
Part I is concerned with the degree to which a situation may yet, in the course of time, suffer change. For we can be tricked by situations involving mostly the activities of the goddess Fortuna—Jupiter’s firstborn daughter. Solon was wise enough to get the following point; that which came with the help of luck could be taken away by luck (and often rapidly and unexpectedly at that). The flipside, which deserves to be considered as well (in fact it is even more of our concern), is that things that come with little help from luck are more resistant to randomness. Solon also had the intuition of a problem that has obsessed science for the past three centuries. It is called the problem of induction. I call it in this book the black swan or the rare event. Solon even understood another linked problem, which I call the skewness issue; it does not matter how frequently something succeeds if failure is too costly to bear.
Yet the story of Croesus has another twist. Having lost a battle to the redoubtable Persian king Cyrus, he was about to be burned alive when he called Solon’s name and shouted (something like) “Solon, you were right” (again this is legend). Cyrus asked about the nature of such unusual invocations, and he told him about Solon’s warning. This impressed Cyrus so much that he decided to spare Croesus’ life, as he reflected on the possibilities as far as his own fate was concerned. People were thoughtful at that time.
If You’re So Rich, Why Aren’t You So Smart?
An illustration of the effect of randomness on social pecking order and jealousy, through two characters of opposite attitudes. On the concealed rare event. How things in modern life may change rather rapidly, except, perhaps, in dentistry.
Nero Tulip
Hit by Lightning
Nero Tulip became obsessed with trading after witnessing a strange scene one spring day as he was visiting the Chicago Mercantile Exchange. A red convertible Porsche, driven at several times the city speed limit, abruptly stopped in front of the entrance, its tires emitting the sound of pigs being slaughtered. A visibly demented athletic man in his thirties, his face flushed red, emerged and ran up the steps as if he were chased by a tiger. He left the car double-parked, its engine running, provoking an angry fanfare of horns. After a long minute, a bored young man clad in a yellow jacket (yellow was the color reserved for clerks) came down the steps, visibly untroubled by the traffic commotion. He drove the car into the underground parking garage—perfunctorily, as if it were his daily chore.
That day Nero Tulip was hit with what the French call a coup de foudre, a sudden intense (and obsessive) infatuation that strikes like lightning. “This is for me!” he screamed enthusiastically—he could not help comparing the life of a trader to the alternative lives that could present themselves to him. Academia conjured up the image of a silent university office with rude secretaries; business, the image of a quiet office staffed with slow thinkers and semislow thinkers who express themselves in full sentences.
Temporary Sanity
Unlike a coup de foudre, the infatuation triggered by the Chicago scene has not left him more than a decade and a half after the incident. For Nero swears that no other lawful profession in our times could be as devoid of boredom as that of the trader. Furthermore, although he has not yet practiced the profession of high-sea piracy, he is now convinced that even that occupation would present more dull moments than that of the trader.
Nero could best be described as someone who randomly (and abruptly) swings between the deportment and speech manners of a church historian and the verbally abusive intensity of a Chicago pit trader. He can commit hundreds of millions of dollars in a transaction without a blink or a shadow of a second thought, yet agonize between two appetizers on the menu, changing his mind back and forth and wearing out the most patient of waiters.
Nero holds an undergraduate degree in ancient literature and mathematics from Cambridge University. He enrolled in a Ph.D. program in statistics at the University of Chicago but, after completing the prerequisite coursework, as well as the bulk of his doctoral research, he switched to the philosophy department. He called the switch “a moment of temporary sanity,” adding to the consternation of his thesis director, who warned him against philosophers and predicted his return back to the fold. He finished writing his thesis in philosophy. But not the Derrida continental style of incomprehensible philosophy (that is, incomprehensible to anyone outside of their ranks, like myself). It was quite the opposite; his thesis was on the methodology of statistical inference in its application to the social sciences. In fact, his thesis was indistinguishable from a thesis in mathematical statistics—it was just a bit more thoughtful (and twice as long).
It is often said that philosophy cannot feed its man—but that was not the reason Nero left. He left because philosophy cannot entertain its man. At first, it started looking futile; he recalled his statistics thesis director’s warnings. Then, suddenly, it started to look like work. As he became tired of writing papers on some arcane details of his earlier papers, he gave up the academy. The academic debates bored him to tears, particularly when minute points (invisible to the noninitiated) were at stake. Action was what Nero required. The problem, however, was that he selected the academy in the first place in order to kill what he detected was the flatness and tempered submission of employment life.
After witnessing the scene of the trader chased by a tiger, Nero found a trainee spot on the Chicago Mercantile Exchange, the large exchange where traders transact by shouting and gesticulating frenetically. There he worked for a prestigious (but eccentric) local, who trained him in the Chicago style, in return for Nero solving his mathematical equations. The energy in the air proved motivating to Nero. He rapidly graduated to the rank of self-employed trader. Then, when he got tired of standing on his feet in the crowd, and straining his vocal cords, he decided to seek employment “upstairs,” that is, trading from a desk. He moved to the New York area and took a position with an investment house.
Nero specialized in quantitative financial products, in which he had an early moment of glory, became famous and in demand. Many investment houses in New York and London flashed huge guaranteed bonuses at him. Nero spent a couple of years shuttling between the two cities, attending important “meetings” and wearing expensive suits. But soon Nero went into hiding; he rapidly pulled back to anonymity—the Wall Street stardom track did not quite fit his temperament. To stay a “hot trader” requires some organizational ambitions and a power hunger that he feels lucky not to possess. He was only in it for the fun—and his idea of fun does not include administrative and managerial work. He is susceptible to conference room boredom and is incapable of talking to businessmen, particularly the run-of-the-mill variety. Nero is allergic to the vocabulary of business talk, not just on plain aesthetic grounds. Phrases like “game plan,” “bottom line,” “how to get there from here,” “we provide our clients with solutions,” “our mission,” and other hackneyed expressions that dominate meetings lack both the precision and the coloration that he prefers to hear. Whether people populate silence with hollow sentences, or if such meetings present any true merit, he does not know; at any rate he did not want to be part of it. Indeed Nero’s extensive social life includes almost no businesspeople. But unlike me (I can be extremely humiliating when someone rubs me the wrong way with inelegant pompousness), Nero handles himself with gentle aloofness in these circumstances.
So, Nero switched careers to what is called proprietary trading. Traders are set up as independent entities, internal funds with their own allocation of capital. They are left alone to do as they please, provided of course that their results satisfy the executives. The name proprietary comes from the fact that they trade the company’s own capital. At the end of the year they receive between 7% and 12% of the profits generated. The proprietary trader has all the benefits of self-employment, and none of the burdens of running the mundane details of his own business. He can work any hours he likes, travel at a whim, and engage in all manner of personal pursuits. It is paradise for an intellectual like Nero who dislikes manual work and values unscheduled meditation. He has been doing that for the past ten years, in the employment of two different trading firms.
Modus Operandi
A word on Nero’s methods. He is as conservative a trader as one can be in such a business. In the past he has had good years and less than good years—but virtually no truly “bad” years. Over these years he has slowly built for himself a stable nest egg, thanks to an income ranging between $300,000 and (at the peak) $2.5 million. On average, he manages to accumulate $500,000 a year in after-tax money (from an average income of about $1 million); this goes straight into his savings account. In 1993, he had a bad year and was made to feel uncomfortable in his company. Other traders made out much better, so the capital at his disposal was severely reduced, and he was made to feel undesirable at the institution. He then went to get an identical job, down to an identically designed workspace, but in a different firm that was friendlier. In the fall of 1994 the traders who had been competing for the great performance award blew up in unison during the worldwide bond market crash that resulted from the random tightening by the Federal Reserve Bank of the United States. They are all currently out of the market, performing a variety of tasks. This business has a high mortality rate.
Why isn’t Nero more affluent? Because of his trading style—or perhaps his personality. His risk aversion is extreme. Nero’s objective is not to maximize his profits, so much as it is to avoid having this entertaining machine called trading taken away from him. Blowing up would mean returning to the tedium of the university or the nontrading life. Every time his risks increase, he conjures up the image of the quiet hallway at the university, the long mornings at his desk spent in revising a paper, kept awake by bad coffee. No, he does not want to have to face the solemn university library where he was bored to tears. “I am shooting for longevity,” he is wont to say.
Nero has seen many traders blow up, and does not want to get into that situation. Blow up in the lingo has a precise meaning; it does not just mean to lose money; it means to lose more money than one ever expected, to the point of being thrown out of the business (the equivalent of a doctor losing his license to practice or a lawyer being disbarred). Nero rapidly exits trades after a predetermined loss. He never sells “naked options” (a strategy that would leave him exposed to large possible losses). He never puts himself in a situation where he can lose more than, say, $1 million—regardless of the probability of such an event. That amount has always been variable; it depends on his accumulated profits for the year. This risk aversion prevented him from making as much money as the other traders on Wall Street who are often called “Masters of the Universe.” The firms he has worked for generally allocate more money to traders with a different style from Nero, like John, whom we will encounter soon.
Nero’s temperament is such that he does not mind losing small change. “I love taking small losses,” he says. “I just need my winners to be large.” In no circumstances does he want to be exposed to those rare events, like panics and sudden crashes, that wipe a trader out in a flash. To the contrary, he wants to benefit from them. When people ask him why he does not hold on to losers, he invariably answers that he was trained by “the most chicken of them all,” the Chicago trader Stevo who taught him the business. This is not true; the real reason is his training in probability and his innate skepticism.
Product details
- ASIN : 0812975219
- Publisher : Random House Trade Paperbacks; 2nd ed. edition (August 23, 2005)
- Language : English
- Paperback : 368 pages
- ISBN-10 : 158799190X
- ISBN-13 : 978-0812975215
- Item Weight : 8.8 ounces
- Dimensions : 5.14 x 0.75 x 7.97 inches
- Best Sellers Rank: #12,757 in Books (See Top 100 in Books)
- #5 in Free Will & Determinism Philosophy
- #12 in Statistics (Books)
- #411 in Success Self-Help
- Customer Reviews:
About the author

Nassim Nicholas Taleb spent more than two decades as a risk taker before becoming a full-time essayist and scholar focusing on practical, philosophical, and mathematical problems with chance, luck, and probability. His focus in on how different systems handle disorder.
He now spends most of his time in the intense seclusion of his study, or as a flâneur meditating in cafés. In addition to his life as a trader he spent several years as an academic researcher (12 years as Distinguished Professor at New York University's School of Engineering, Dean's Professor at U. Mass Amherst).
He is the author of the Incerto (latin for uncertainty), accessible in any order (Skin in the Game, Antifragile, The Black Swan, The Bed of Procrustes, and Fooled by Randomness) plus a technical version, The Technical Incerto (Statistical Consequences of Fat Tails). Taleb has also published close to 55 academic and scholarly papers as a backup, technical footnotes to the Incerto in topics ranging from Statistical Physics and Quantitative Finance to Genetics and International affairs. The Incerto has more than 200 translations in 41 languages.
Taleb believes that prizes, honorary degrees, awards, and ceremonialism debase knowledge by turning it into a spectator sport.
""Imagine someone with the erudition of Pico de la Mirandola, the skepticism of Montaigne, solid mathematical training, a restless globetrotter, polyglot, enjoyer of fine wines, specialist of financial derivatives, irrepressible reader, and irascible to the point of readily slapping a disciple." La Tribune (Paris)
A giant of Mediterranean thought ... Now the hottest thinker in the world", London Times
"The most prophetic voice of all" GQ
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I think I first read "Fooled By Randomness" circa 2006. Recently, I felt a longing to reread Taleb's first non-technical book again. Wow, what a wise decision that was! I actually digested more from the rereading than I did from the initial reading (and I digested quite a bit from the first reading). Both times, I focused on reading the book very, very slowly. Obviously, the fact that I spent the time to reread this book is indicative of how valuable I think it is.
Known for his great wit, the baseball pitcher Vernon Louis "Lefty" Gomez was fond of saying that, "I'd rather be lucky than good." This phrase, in essence, is one of the central themes of the book. Although it sounds like a hackneyed platitude, Gomez, understood the role of randomness in our lives. However, due to myriad biases, we humans often tend to attribute our successes to our skill and blame bad luck for our failures. Is your rich neighbor or your boss really as skilled as she thinks she is?
Parts of the book are also about the hindsight bias and the narrative fallacy. We humans are great at fabricating post hoc narratives about our world. It's how we understand (and misunderstand) the world, but we must remember not to take our stories too seriously. "A mistake is not something to be determined after the fact," writes Taleb, "but in the light of the information until that point."
One of Taleb's favorite philosophers is Karl Popper. However, Taleb wasn't always enthralled with the man who espoused the beauty of empirical falsification. Prior to rediscovering the great philosopher, Taleb went through a self identified anti-intellectual phase early in his career as a trader. He feared becoming a corporate slave with "work ethics" (a term which he interprets to mean inefficient mediocrity). "Philosophy, to me," Taleb writes, "became something rhetorical people did when they had plenty of time on their hands; it was an activity reserved for those who were not well versed in quantitative methods and other productive things. It was a pastime that should be limited to late hours, in bars around the campuses, when one had a few drinks and a light schedule -- provided one forgot the garrulous episode as early as the next day. Too much of it can get a man in trouble, perhaps turn one into a Marxist ideologue." As they say, the dose determines the poison.
Speaking of poison, another interesting idea that Taleb espouses is that being too attached your beliefs is poisonous. As he puts it: "Loyality to ideas is not a good thing for traders, scientists, -- or anyone". I like to think about it this way, there are times we shouldn't trust experts precisely because they are experts. This is because they are no incentives to be brutally critical of your own ideas. A scientist or a preacher who has built their career on a certain idea obviously has a lot invested in that idea. How likely are they to be critical of their own position when their livelihood depends on it being accepted? What if they are putting out pseudo-scientific nutritional guidelines that cause harm, but help them keep their job?
According to Popper there are only two types of theories:
1) Theories that are known to be wrong, as they were tested and adequately rejected (he calls them falsified).
2) Theories that have not yet been known to be wrong, not falsified yet, but are exposed to be proved wrong.
If you accept Popper's epistemology, like I also do, you can never claim that you know a theory to be true. In other words, we can only gain knowledge through proving that things are false. For instance, when I accidentally find myself in a theistic debate, people often challenge me to tell them how the universe came into existence. When I say `I don't know', they become infuriated. How dare I have the gall to dismiss some of their religion's claims as not true without projecting my own claim to reality? Yet, that's exactly the point. I gain knowledge through knowing what's wrong, not through making claims about what I think is right.
So what should we make of Taleb's extreme and obsessive Popperism in a more practical sense? How does he recommend we apply to it our lives? I think it can be summarized in the following passage:
I speculate in all of my activities on theories that represent some vision of the world, but with the following stipulation: No rare event should harm me. In fact, I would like all conceivable rare events to help me. My idea of science diverges with that of the people around me walking around calling themselves scientists. Science is mere speculation, mere formulation of conjecture.
The following thought experiment really helped me internalize this message. Assume you participate in a gambling game that has 999/1000 chance of winning $1 [Event A] and a 1/1000 chance of winning $10,000 [Event B]. Using some straightforward calculations the expectation of a loss is roughly $9 (multiply the probabilities by the outcome for each event and then sum them) Which event would you bet on? I suspect that most people consider the frequency or probability in their decision, but this is totally irrelevant. According to Taleb, even people like MBAs and economists with some statistical training fail to understand this point. The magnitude of the outcome should be the only relevant factor in the decision. Think of a trader who focuses on event B, sure, he is likely to bleed slowly for long periods of time, but when the rare event happens the payoff is astronomical compared to the losses. Most of us, however, are schooled in environments that focus on games with symmetrical outcomes (e.g., a coin toss). The great psychologist and father of behavioral economics, Daniel Kahneman, also reminds us that we are loss averse and psychologically struggle with idea of bleeding out small losses for extended periods of time, even if there is eventually the opportunity for a huge payday.
Once you realize that life is full of scenarios with asymmetrical payoffs, you're thinking (if you're anything like me anyway) will be permanently altered. In fields like, say, writing, the outcomes are asymmetrical. In other words, there is not a linear relationship with the number of hours spent writing and the amount of income one makes. One may spend a long time writing for free and then finally catch a huge book deal. For me, this is somewhat of a moot point because I'd write for free without any other justification other than the fact that it's fun and makes me happy. However, if all other things were equal, and I could also make money doing something I love, I would be very happy.
Here's another piece of practical wisdom that I really enjoyed: "stay away from people of a competitive nature, as they have a tendency to commoditize and reduce the world to categories, like how many papers they publish in a given year, or how they rank in the league tables." These are the same kinds of people who think that their GPA reflects their intelligence. Or that the number of hours they spend running on a treadmill reflects their fitness. Or that their inherited wealth says something about their genetic fitness. Or that their expensive clothes make them beautiful. I could continue on and on, but I think you get the point.
I often hear those around me complaining about how life will be better when they achieve "X". Alas, I'm human and guilty of making claims like this on occasion too. The trouble is that, for most of us anyway, we won't really experience long-term improvements in our happiness when we achieve "X". Throughout the book, Taleb devotes a fair amount of time alerting readers of what the literature in behavioral economics tells us about our irrational tendencies and biases.
For example, there's the social treadmill effect: you get rich, move to rich neighborhoods, then become poor again once you compare yourself to your new peers. Then, you may work your ass off and get rich again, only to repeat the cycle. If you want to feel worse about yourself, then the best piece of positive advice I know of is to hang around people who are wealthier than you. I often try to remind myself that I'm living a life that is materially better than 99.9% of all humans that have ever existed and yet I still have the audacity to claim that I don't have enough sometimes. Pathetic.
At one point in the book, Taleb writes: "I see no special heroism in accumulating money, particularly if, in addition, the person is foolish enough to not even try to derive any tangible benefit from wealth (aside from the pleasure of regularly counting the beans)". In other words, money is only valuable if you use it as a tool to extract enjoyment from life.
If it isn't clear, I think he is making reference to the likes of Warren Buffett, whom people tend to see as being virtuous simply for the fact that he has been able to accumulate hordes of money. What I think many people fail to understand is that there is nothing virtuous about having money just for the sake of having it. How someone earned what they have tells you a lot more about them than how much they have. We generally tend to think that having money signals other traits about a person, but I'll remind you that there is a lot of noise in those signals (think inheritance). Having money doesn't necessarily signal any superior traits.
Those who want to make a lot of money are greedy and shouldn't try to deny that motivation. Greed, however, is not necessarily a bad thing. As Adam Smith taught us, another mans' greed can create more wealth for society as a whole (provided the individual's wealth is ethically obtained).
Do cigarette smokers understand probabilities? If so, how can they rationally understand the ills of cigarettes and yet be foolish enough to smoke them anyway? When I go for walks near hospitals I'm always surprised by the number of people in scrubs (perhaps some of whom are doctors and nurses) who I assume are well aware of how harmful cigarettes are, but smoke them anyway. Apparently, intellectually understanding something and being able to put it into practice are two different things.
One thing Taleb also writes about is the selection bias in blogging and book reviewing. The cover of my edition of Fooled By Randomness has an excerpt praising Taleb as one of the "hottest thinkers" in the world. While I certainly agree, I couldn't help but smirk after reading that line -- can you say selection bias?
Any book that is worth reading twice is worth reading more than twice. When you love a writer, you want to hear his opinion on just about everything.
- See more at: [...]
How We Are All Fools of Randomness
This book was not the simplest book I have ever read, but very insightful for the market trader/investor. I will provide a little insight of my own into the realm of Nassim Taleb. I enjoyed the fact that the author explained concepts of the financial nature in the most basic manner. For a person not to savvy in financial terminology the book was readable, it was actually other topics that the author randomly introduced that was a little harder to read. The book is about how people, who invest in or trade in the market, fail or succeed due to factors outside of their control. The author brings to light many concepts that people more often than not overlook. The author provides countless examples to break his concepts down into a comprehensible level. One point that is emphasized throughout the book is that most people fall into a trap of luck.
Taleb started his book by introducing Solon, a Greek legislator. He began his book with Solon, because of Solon's wisdom, "...to admire a man's happiness that may yet, in course of time, suffer change. For the uncertain future has yet to come, with all variety of future; and him only to whom the divinity has[guaranteed] continued happiness until the end we may call happy."(Taleb 3). Then the author explained how people could do everything right, but still fail. This was due to a randomness factor. These factors can be a natural disaster, an election, a terrorist attack, etc. People can crunch every number in the world to until their fingers bleed, but still fail. People can have tips and inside knowledge, but still fail. The author stresses this idea of randomness and repetitively intertwines it into the different scenarios presented into this book. The beginning of the book, the concept of randomness was introduced via two characters Nero and John. Taleb shows how randomness affects both characters that are of opposite mindsets. He later tells of how people's decisions are affected by emotions. He demonstrates this by telling of an experiment done, where a person is alleviated from his emotions. The emotion stricken person was not even able to complete the simplest tasks. The author spoke of emotions, because without it people would get nothing accomplished, on the other hand, with emotions, people can act irrationally which leads to bad decisions. The author makes his position on journalist in his field quite clear. Without hesitation, his detestation for journalist simmered throughout the pages. The author does not agree with journalist, because they are people who are inexperienced in the financial field, yet write about it; they fail to understand randomness. Then their idiocracy(yes I know this is made up, but fits the situation so well) is then consumed by their readers, who take the written fallacies to heart, which can lead to inadequate decisions. Next, Taleb speaks of a Monte Carol engine, which I have gathered as something to produce data of scenarios ran a countless amount of times, with random situations passed into the scenarios every time. The author preferred Monte Carlo methods, because he could care less about the ideas behind mathematics, but only the application. I found this a little intriguing that a person that is so knowledgeable in the financial field, which deals mainly with numbers, does not care for the properties of mathematics. The next topic the author presents is the association of Darwinism and companies. Companies cannot be viewed in the survival of the fittest manner, because the Darwinian ideas cannot and do not accommodate for randomness, which we learn from this book is a big part of the business world. Randomness can be either good or bad, essentially it will all come down to luck. A person will be either lucky or unlucky, but the author explains that eventually it will reverse itself and the unlucky will become lucky and the lucky become unlucky. Taleb introduces many significant subject matter experts throughout the book to support his claim of people being fooled by randomness.
I feel as if the author was a bit random himself. The way the text was presented seemed a little unorthodox to me. The author would present a subject, talk about it, provide examples about it, but then the next topic would be totally off on some other tangent, while all in the same chapter. I'm not even sure if everything written in the book could be tied back to randomness in some manner, but that I will go ahead and assume is to be blamed on my inexperience on the subject matter. The structure of the book is one thing I did not agree with. Although, this is the style of writing the author may have intended. I believe the book was well conversed and definitely and eye opener. Taleb did well in explaining complex material in a simplified fashion. I enjoyed all of the examples presented in the book; I felt they gave the book some character. I understand I cannot be considered a person well versed in the financial world, so everything written here completely opinion based. The main piece of knowledge I can confidently say I have gained from this book is that there is nothing that can be done to tame this unforgiving beast that is randomness.
For a book whose topic is of a subject that, I believe, many would consider of a dull nature was quite interesting. The book kept my interest with its comprehensible examples and insightful views. I definitely would recommend this book to anyone that has dealings in the economic world. Actually, I honestly believe this book could just about relate to anyone and everyone, because randomness is part of everyone's lives. I did not ever consider randomness to ever be as big of a factor in life as, I know it is, now. I will take the knowledge gained from reading this book and hopefully put it to good use.
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In another instance, Nassim criticises an interviewer for pointing out to an expert that his ideas if followed would have caused a loss. Nassim doesn't explain why this objection is invalid.
On the plus side, there are some interesting ideas here:
- We're good at understanding even bets, where there's a 50% chance in your favor, not skewed bets, where the chance is more on one side.
- A 20% chance of making 1 crore is not the same as a 10% chance of making 2 crores, though both have the same expected value of 20 lac. Expected value is not the only factor in analysing bets.
- The human mind is poor at understanding probabilistic thinking, because it's counter-intuitive.
- When Nassim was asked on one instance whether he thinks the market will go up or down, he said that it's likely to go up but he bet that it went down. Why? Because if it goes up, it goes up only a little, but if it goes down, it's expected to go down a lot, so the expected value is negative.
- The more often you check your portfolio, the more likely you'll find dips, which will make you feel bad. A negative event isn't counter-balanced by a positive event — it requires roughly two positive events to counter-balance it. So Nassim, aware of his own irrational mind, checks his portfolio rarely. And so should we.
- Randomness plays a big part in outcomes, and most people take credit for good luck but blame bad luck on things beyond their control. Plus there's so much ego involved.
- A family earning half a million dollars a year and staying in fashionable Park Avenue in New York, where they're the poorest in their apartment building, will be happier if they move to a middle-class area, where people will look up to, not down at, them.
- A person who repeatedly takes bets and is proven right for a decade can still be wrong, and gives us the example of a trader who was right for two decades, and then went bankrupt. If you bet that rare things won't happen, it may take a decade or two for luck to catch up with you.
- Everyone assumes rare things won't happen, while Nassim bets that they will. Nassim loses money every day for years, and finally earns a lot to make up for all the losses, though it's emotionally draining to see money go out every day. Nassim knows his worst-case scenario, while others don't.
- Wall St banks have bad incentives and will never behave properly. Bad behavior is ignored as long as it produces a profit.
- "Stochastic" means a process consisting of a sequence of random events. Not one event.
- Monte Carlo techniques are computer programs that simulate thousands of scenarios, all random, and give you a conclusion like: 20% of the time, you go bankrupt. 30% of the time, you make a million dollars. The rest of the time, you earn a modest return of 10-20% on your investment. This is a much better way of analysing things than a single number, like: what is the probability that this investment technique produces a 15% profit?
- Monte Carlo techniques are the only option when the equations to model things are too complex. Monte Carlo is brute force, and works.
- Survivorship bias means that the average fund manager has a high return because the rest are out of business. If you count them, the average return is low.
- Nassim is an intellectual and prefers thinking to working.

Avoid this empty piece of fluff and go read "thinking fast and slow".

This was my first Nassim Taleb book I've read, so I can't compare to his two main books Anti-fragile & The Black Swan, although I will be reading those next.

"The Black Swan" taught me about something I sort of intuitively knew about, but couldn't quite articulate, and doubted myself when I tried: the importance of very unlikely, but very costly risks ("'black swan' events"). But this earlier work seems a better place to start. While Taleb writes well, it's not an easy read. He keeps saying that people misrepresent him for a reason: it's very easy to do. The digested NN Taleb is that success is *partly* down to luck (and the "*partly*" gets omitted by a lot of people). This isn't the place to summarise why he thinks that. Read the damn book.
Coda: this book covered a lot of material that was in my undergraduate degree and quite a lot that should have been. If you're an undergraduate in *any* of the sciences, this book will at the least, do you no harm, and may come in useful at some unexpected moment. If you've got a degree, you should have read this book, so if you haven't, make good that omission now. If you have the sense not to have a degree, well, this book is for you too.

Is it only for numberphiles? No, it probably is too basic for the ‘initiated’; even though they still might enjoy the examples and life stories.
Everything is well explained in a simple manner; probably also because Taleb is not as brilliant as he thinks.
The outcome is a practical theory, exciting, and filled with anecdotes of an unusual character.
Lets put it this way, this book makes a dry theory entertaining and accessible to everyone. That should be applauded.