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The series of heads and tails obtained when tossing a fair coin exemplifies a random sequence. Randomness defies a strict definition, yet it is widely used in daily and scientific discourse. When perceiving or producing randomness, people err by exaggeratedly expecting a change after a few identical symbols. This is the gambler's fallacy (GF). Diverse real manifestations of GF, in casino or lottery decisions, expressions in fiction and art, and uses in deciphering codes, are all described, interwoven with stories and anecdotes. The roots of GF are presumably ascribed to one's inability to forget or ignore previous stimuli in a sequence. Students, not only of psychology, and other inquisitive readers may find the GF issue challenging.
The breadth of topics reflects Dawes's wide-ranging impact on psychological theory and empirical practice. The two themes of rationality and social responsibility feature heavily. The book serves as an overview of psychological science development in its struggle to reconcile what is true with what is good.
The hazards of feeling lucky in gambling Why do so many gamblers risk it all when they know the odds of winning are against them? Why do they believe dice are "hot" in a winning streak? Why do we expect heads on a coin toss after several flips have turned up tails? What's Luck Got to Do with It? takes a lively and eye-opening look at the mathematics, history, and psychology of gambling to reveal the most widely held misconceptions about luck. It exposes the hazards of feeling lucky, and uses the mathematics of predictable outcomes to show when our chances of winning are actually good. Mathematician Joseph Mazur traces the history of gambling from the earliest known archaeological evidence of dice playing among Neolithic peoples to the first systematic mathematical studies of games of chance during the Renaissance, from government-administered lotteries to the glittering seductions of grand casinos, and on to the global economic crisis brought on by financiers' trillion-dollar bets. Using plenty of engaging anecdotes, Mazur explains the mathematics behind gambling—including the laws of probability, statistics, betting against expectations, and the law of large numbers—and describes the psychological and emotional factors that entice people to put their faith in winning that ever-elusive jackpot despite its mathematical improbability. As entertaining as it is informative, What's Luck Got to Do with It? demonstrates the pervasive nature of our belief in luck and the deceptive psychology of winning and losing. Some images inside the book are unavailable due to digital copyright restrictions.
'The conundrum at the core of Gambler's Fallacy, author and translator Judith Cowan's seven-story follow-up to her distinguished 1997 debut, More Than Life Itself, involves an impressively erratic cast of fearful and fragile Québécois characters, capriciously transformed into victims of the strange vagaries of chance and serendipitous circumstance. Not unlike Raymond Carver or Alice Munro, Cowan creates heartbreakingly felicitous portraits of Chekhovian elegance, featuring the ordinarily forgotten little folks who, for no apparent reason or logical explanation, have fallen through the cracks. ... Suffused with a largeness of spirit everywhere animated by moments of aching clarity and lyrical grace, Cowan's gritty minimalist vignettes will, if truth be told, simply break the most hardened of readers' hearts. You can bet the farm on it.'
With its huge jackpots and heartwarming rags-to-riches stories, the lottery has become the hope and dream of millions of Americans--and the fastest-growing source of state revenue. Despite its popularity, however, there remains much controversy over whether this is an appropriate business for state government and, if so, how this business should be conducted.
The good news: For the average player, baccarat offers the best odds in the house, giving the house barely a 1 per cent edge without using any winning strategies.
Want to calculate the probability that an event will happen? Be able to spot fake data? Prove beyond doubt whether one thing causes another? Or learn to be a better gambler? You can do that and much more with 75 practical and fun hacks packed into Statistics Hacks. These cool tips, tricks, and mind-boggling solutions from the world of statistics, measurement, and research methods will not only amaze and entertain you, but will give you an advantage in several real-world situations-including business. This book is ideal for anyone who likes puzzles, brainteasers, games, gambling, magic tricks, and those who want to apply math and science to everyday circumstances. Several hacks in the first chapter alone-such as the "central limit theorem,", which allows you to know everything by knowing just a little-serve as sound approaches for marketing and other business objectives. Using the tools of inferential statistics, you can understand the way probability works, discover relationships, predict events with uncanny accuracy, and even make a little money with a well-placed wager here and there. Statistics Hacks presents useful techniques from statistics, educational and psychological measurement, and experimental research to help you solve a variety of problems in business, games, and life. You'll learn how to: Play smart when you play Texas Hold 'Em, blackjack, roulette, dice games, or even the lottery Design your own winnable bar bets to make money and amaze your friends Predict the outcomes of baseball games, know when to "go for two" in football, and anticipate the winners of other sporting events with surprising accuracy Demystify amazing coincidences and distinguish the truly random from the only seemingly random--even keep your iPod's "random" shuffle honest Spot fraudulent data, detect plagiarism, and break codes How to isolate the effects of observation on the thing observed Whether you're a statistics enthusiast who does calculations in your sleep or a civilian who is entertained by clever solutions to interesting problems, Statistics Hacks has tools to give you an edge over the world's slim odds.
Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage.
Why does a large proportion of the population engage in some form of gambling, although they know they are most likely to lose, and that the gambling industry makes huge profits? Do gamblers simply accept their losses as fate, or do they believe that they will be able to overcome the negative odds in some miraculous way? The paradox is complicated by the fact that those habitual gamblers who are most aware that systematic losses cannot be avoided, are the least likely to stop gambling. Detailed analyses of actual gambling behaviour have shown gamblers to be victims of a variety of cognitive illusions, which lead them to believe that the general statistical rules of determining the probability of loss do not apply to them as individuals. The designers of gambling games cleverly exploit these illusions in order to promote a false perception of the situation. Much of the earlier interest in gambling behaviour has been centred on the traditional theories of human decision-making, where decisions are portrayed as choices among bets. This led to a tradition of studying decision-making in experiments on betting. In this title, originally published in 1988, the author argues that betting behaviour should not be used as a typical example of human decision-making upon which a general psychological theory could be founded, and that these traditional views can in no way account for the gambling behaviour reported in this book.