This critique of our inability to acknowledge randomness explores some of the less obvious ways in which uncertainty affects our situation. Taleb introduces the notion that an entire path of events in history is only one realization of the many trajectories that might have occurred. This takes the randomness away from single events and opens a view of a broader way in which contingency affects our lives and fortunes. [123.3]
This book presents a general caution for analysts: do not assume that the underlying models you construct are complete because one may see only one realization of an infinite set of paths of history. Therefore, it is problematic for a model drawn from historic experience to be generally applicable in describing likelihoods. Nor should past events be taken as a sufficient guide to your experience. It is an elaborate way of warning the reader to not assume that the state of the world (and his position in it) are the necessary outcomes and that there was no alternative. This rule applies in analysis of technical and financial issues as well as in one's own life.
Taleb is interested in the implications of the ways randomness appears in our lives without announcing itself. Here he discusses the psychological profile of successful traders compared with the unsuccessful ones. Too much may be attributed to skill or genius when luck alone might be a satisfactory explanation. This turns any compensation system that rewards, for example, successful trading as a simple lottery in life.
The author contrasts himself with his colleagues in the financial field because he prefers to use hedges so that his potential gains may be smaller, but he is protected from catastrophic loss. The idea is to aim for a smaller mean with a much smaller variance. One tool that he uses frequently in analyzing probabilistic situations is Monte Carlo simulation. (What he is less clear about is how he selects the probability model that he uses to drive his simulations.) The author then extends his look into probability by considering a variety of issues such as skewed distributions, such as a logarithmic distribution or survivorship bias and other biases that affect humans ability to accurately assess probabilities. These are topics that deserve a close look.
It is unfortunate when an author's ego gets in the way of an important message. (For example, see another particularly insightful book on mathematics of finance that suffered as the author repeatedly pointed out that his brilliance was overlooked by a tenure committee.) Sadly, this book fails on the same ground: the author injects too much of his personal life into the narrative. One might even suspect a bit of intellectual "showing off." There is a tendency to name-drop obscure or thorny philosophers or mathematicians or to offer a gratuitous criticism of their work with little justification.
This book cannot receive an unqualified recommendation. It may be an enjoyable read, but the author's need to convince the reader of his seriousness as a thinker can be tedious. It is an acceptable read in a noisy environment, but can disappoint
This book presents a general caution for analysts: do not assume that the underlying models you construct are complete because one may see only one realization of an infinite set of paths of history. Therefore, it is problematic for a model drawn from historic experience to be generally applicable in describing likelihoods. Nor should past events be taken as a sufficient guide to your experience. It is an elaborate way of warning the reader to not assume that the state of the world (and his position in it) are the necessary outcomes and that there was no alternative. This rule applies in analysis of technical and financial issues as well as in one's own life.
Taleb is interested in the implications of the ways randomness appears in our lives without announcing itself. Here he discusses the psychological profile of successful traders compared with the unsuccessful ones. Too much may be attributed to skill or genius when luck alone might be a satisfactory explanation. This turns any compensation system that rewards, for example, successful trading as a simple lottery in life.
The author contrasts himself with his colleagues in the financial field because he prefers to use hedges so that his potential gains may be smaller, but he is protected from catastrophic loss. The idea is to aim for a smaller mean with a much smaller variance. One tool that he uses frequently in analyzing probabilistic situations is Monte Carlo simulation. (What he is less clear about is how he selects the probability model that he uses to drive his simulations.) The author then extends his look into probability by considering a variety of issues such as skewed distributions, such as a logarithmic distribution or survivorship bias and other biases that affect humans ability to accurately assess probabilities. These are topics that deserve a close look.
It is unfortunate when an author's ego gets in the way of an important message. (For example, see another particularly insightful book on mathematics of finance that suffered as the author repeatedly pointed out that his brilliance was overlooked by a tenure committee.) Sadly, this book fails on the same ground: the author injects too much of his personal life into the narrative. One might even suspect a bit of intellectual "showing off." There is a tendency to name-drop obscure or thorny philosophers or mathematicians or to offer a gratuitous criticism of their work with little justification.
This book cannot receive an unqualified recommendation. It may be an enjoyable read, but the author's need to convince the reader of his seriousness as a thinker can be tedious. It is an acceptable read in a noisy environment, but can disappoint