Randomness Explained
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Randomness Explained
Randomness is a concept used (and less formally) in mathematics to imply that there is no way to accurately predict an event (to know what will happen before it takes place) or to sense a trend. Anything that is randomly selected for no conscious purpose can be assumed to be simply by chance factor. An illustration of an occurrence random event is a financial windfall, a lottery win. A computer can generate lists of seemingly random numbers. It is difficult for humans to do the same, since the brain functions in patterns. If someone is asked to keep repeating heads or tails at random, a considerate human observer or a reasonably programmed computer may eventually tell which one the person is likely to say next because the computer recognizes the patterns. The user can click on Random Page on a website such as English Wikipedia to get a random article. The odds of being on anyone's webpage are the same as on every other webpage.
Fooled by Randomness
'One of the smartest books of all time' Fortune Everyone wants to succeed in life. But what causes some of us to be more successful than others? Is it really down to skill and strategy - or something altogether more unpredictable? This book is the word-of-mouth sensation that will change the way you think about business and the world. It is all about luck- more precisely, how we perceive luck in our personal and professional experiences. Nowhere is this more obvious than in the markets - we hear an entrepreneur has 'vision' or a trader is 'talented', but all too often their performance is down to chance rather than skill. It is only because we fail to understand probability that we continue to believe events are non-random, finding reasons where none exist. This irreverent bestseller has shattered the illusions of people around the world by teaching them how to recognize randomness. Now it can do the same for you. Nassim Nicholas Taleb is a radical and paradoxical philosopher for our times. He has spent his life immersing himself in problems of luck, uncertainty, probability, and knowledge, and he has led three high-profile careers around his ideas, as a man of letters, as a businessman-trader, and as a university professor and researcher. He is currently Distinguished Professor of Risk Engineering at New York University's Polytechnic Institute. His books Fooled by Randomness and The Black Swan have been published in thirty-three languages. Taleb refuses all awards and honours as they debase knowledge by turning it into competitive sports.
The Great Mental Models: General Thinking Concepts
The old saying goes, ''To the man with a hammer, everything looks like a nail.'' But anyone who has done any kind of project knows a hammer often isn't enough. The more tools you have at your disposal, the more likely you'll use the right tool for the job - and get it done right. The same is true when it comes to your thinking. The quality of your outcomes depends on the mental models in your head. And most people are going through life with little more than a hammer. Until now. The Great Mental Models: General Thinking Concepts is the first book in The Great Mental Models series designed to upgrade your thinking with the best, most useful and powerful tools so you always have the right one on hand. This volume details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making, productivity, and how clearly you see the world. You will discover what forces govern the universe and how to focus your efforts so you can harness them to your advantage, rather than fight with them or worse yet- ignore them. Upgrade your mental toolbox and get the first volume today. AUTHOR BIOGRAPHY Farnam Street (FS) is one of the world's fastest growing websites, dedicated to helping our readers master the best of what other people have already figured out. We curate, examine and explore the timeless ideas and mental models that history's brightest minds have used to live lives of purpose. Our readers include students, teachers, CEOs, coaches, athletes, artists, leaders, followers, politicians and more. They're not defined by gender, age, income, or politics but rather by a shared passion for avoiding problems, making better decisions, and lifelong learning. AUTHOR HOME Ottawa, Ontario, Canada