The Improbability Principle

The Improbability Principle PDF Author: David J. Hand
Publisher: Macmillan
ISBN: 0374175349
Category : Business & Economics
Languages : en
Pages : 289

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Book Description
A well-known statistician presents his theory that extraordinary and rare events are actually commonplace and cites stories of two-time lottery winners and other bizarre coincidences to support his theory that unlikely events statistically must happen. 50,000 first printing.

The Improbability Principle

The Improbability Principle PDF Author: David J. Hand
Publisher: Scientific American / Farrar, Straus and Giroux
ISBN: 0374711399
Category : Mathematics
Languages : en
Pages : 288

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Book Description
In The Improbability Principle, the renowned statistician David J. Hand argues that extraordinarily rare events are anything but. In fact, they're commonplace. Not only that, we should all expect to experience a miracle roughly once every month. But Hand is no believer in superstitions, prophecies, or the paranormal. His definition of "miracle" is thoroughly rational. No mystical or supernatural explanation is necessary to understand why someone is lucky enough to win the lottery twice, or is destined to be hit by lightning three times and still survive. All we need, Hand argues, is a firm grounding in a powerful set of laws: the laws of inevitability, of truly large numbers, of selection, of the probability lever, and of near enough. Together, these constitute Hand's groundbreaking Improbability Principle. And together, they explain why we should not be so surprised to bump into a friend in a foreign country, or to come across the same unfamiliar word four times in one day. Hand wrestles with seemingly less explicable questions as well: what the Bible and Shakespeare have in common, why financial crashes are par for the course, and why lightning does strike the same place (and the same person) twice. Along the way, he teaches us how to use the Improbability Principle in our own lives—including how to cash in at a casino and how to recognize when a medicine is truly effective. An irresistible adventure into the laws behind "chance" moments and a trusty guide for understanding the world and universe we live in, The Improbability Principle will transform how you think about serendipity and luck, whether it's in the world of business and finance or you're merely sitting in your backyard, tossing a ball into the air and wondering where it will land.

Dark Data

Dark Data PDF Author: David J. Hand
Publisher: Princeton University Press
ISBN: 0691234469
Category : Computers
Languages : en
Pages : 344

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Book Description
"Data describe and represent the world. However, no matter how big they may be, data sets don't - indeed cannot - capture everything. Data are measurements - and, as such, they represent only what has been measured. They don't necessarily capture all the information that is relevant to the questions we may want to ask. If we do not take into account what may be missing/unknown in the data we have, we may find ourselves unwittingly asking questions that our data cannot actually address, come to mistaken conclusions, and make disastrous decisions. In this book, David Hand looks at the ubiquitous phenomenon of "missing data." He calls this "dark data" (making a comparison to "dark matter" - i.e., matter in the universe that we know is there, but which is invisible to direct measurement). He reveals how we can detect when data is missing, the types of settings in which missing data are likely to be found, and what to do about it. It can arise for many reasons, which themselves may not be obvious - for example, asymmetric information in wars; time delays in financial trading; dropouts in clinical trials; deliberate selection to enhance apparent performance in hospitals, policing, and schools; etc. What becomes clear is that measuring and collecting more and more data (big data) will not necessarily lead us to better understanding or to better decisions. We need to be vigilant to what is missing or unknown in our data, so that we can try to control for it. How do we do that? We can be alert to the causes of dark data, design better data-collection strategies that sidestep some of these causes - and, we can ask better questions of our data, which will lead us to deeper insights and better decisions"--

The Improbability of God

The Improbability of God PDF Author: Michael Martin
Publisher:
ISBN: 9781591023814
Category : Philosophy
Languages : en
Pages : 0

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Book Description
In this book, the authors bring together for the first time an extensive collection of papers by many distinguished scholars who present a variety of arguments that the existence of God is improbable.

Statistics: A Very Short Introduction

Statistics: A Very Short Introduction PDF Author: David J. Hand
Publisher: OUP Oxford
ISBN: 0191578924
Category : Mathematics
Languages : en
Pages : 138

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Book Description
Modern statistics is very different from the dry and dusty discipline of the popular imagination. In its place is an exciting subject which uses deep theory and powerful software tools to shed light and enable understanding. And it sheds this light on all aspects of our lives, enabling astronomers to explore the origins of the universe, archaeologists to investigate ancient civilisations, governments to understand how to benefit and improve society, and businesses to learn how best to provide goods and services. Aimed at readers with no prior mathematical knowledge, this Very Short Introduction explores and explains how statistics work, and how we can decipher them. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

The 9 Pitfalls of Data Science

The 9 Pitfalls of Data Science PDF Author: Jay Cordes
Publisher: Oxford University Press, USA
ISBN: 0198844395
Category :
Languages : en
Pages : 263

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Book Description
Data science has never had more influence on the world. Large companies are now seeing the benefit of employing data scientists to interpret the vast amounts of data that now exists. However, the field is so new and is evolving so rapidly that the analysis produced can be haphazard at best. The 9 Pitfalls of Data Science shows us real-world examples of what can go wrong. Written to be an entertaining read, this invaluable guide investigates the all too common mistakes of data scientists - who can be plagued by lazy thinking, whims, hunches, and prejudices - and indicates how they have been at the root of many disasters, including the Great Recession. Gary Smith and Jay Cordes emphasise how scientific rigor and critical thinking skills are indispensable in this age of Big Data, as machines often find meaningless patterns that can lead to dangerous false conclusions. The 9 Pitfalls of Data Science is loaded with entertaining tales of both successful and misguided approaches to interpreting data, both grand successes and epic failures. These cautionary tales will not only help data scientists be more effective, but also help the public distinguish between good and bad data science.

Anthropic Bias

Anthropic Bias PDF Author: Nick Bostrom
Publisher: Routledge
ISBN: 113671099X
Category : Philosophy
Languages : en
Pages : 240

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Book Description
Anthropic Bias explores how to reason when you suspect that your evidence is biased by "observation selection effects"--that is, evidence that has been filtered by the precondition that there be some suitably positioned observer to "have" the evidence. This conundrum--sometimes alluded to as "the anthropic principle," "self-locating belief," or "indexical information"--turns out to be a surprisingly perplexing and intellectually stimulating challenge, one abounding with important implications for many areas in science and philosophy. There are the philosophical thought experiments and paradoxes: the Doomsday Argument; Sleeping Beauty; the Presumptuous Philosopher; Adam & Eve; the Absent-Minded Driver; the Shooting Room. And there are the applications in contemporary science: cosmology ("How many universes are there?", "Why does the universe appear fine-tuned for life?"); evolutionary theory ("How improbable was the evolution of intelligent life on our planet?"); the problem of time's arrow ("Can it be given a thermodynamic explanation?"); quantum physics ("How can the many-worlds theory be tested?"); game-theory problems with imperfect recall ("How to model them?"); even traffic analysis ("Why is the 'next lane' faster?"). Anthropic Bias argues that the same principles are at work across all these domains. And it offers a synthesis: a mathematically explicit theory of observation selection effects that attempts to meet scientific needs while steering clear of philosophical paradox.

Information Generation

Information Generation PDF Author: David Hand
Publisher: ONEWorld Publications
ISBN:
Category : Computers
Languages : en
Pages : 268

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Book Description
This exploration of the meaning and power of data traces the history of data collection and interpretation and examines our understanding of the world, covering mathematics, science, statistics and metaphysics. It looks at the systems of data collection and transfer that we rely on and explores the danger of false views of data.

What Darwin Got Wrong

What Darwin Got Wrong PDF Author: Jerry Fodor
Publisher: Profile Books
ISBN: 1847651909
Category : Science
Languages : en
Pages : 262

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Book Description
Jerry Fodor and Massimo Piatelli-Palmarini, a distinguished philosopher and scientist working in tandem, reveal major flaws at the heart of Darwinian evolutionary theory. They do not deny Darwin's status as an outstanding scientist but question the inferences he drew from his observations. Combining the results of cutting-edge work in experimental biology with crystal-clear philosophical argument they mount a devastating critique of the central tenets of Darwin's account of the origin of species. The logic underlying natural selection is the survival of the fittest under changing environmental pressure. This logic, they argue, is mistaken. They back up the claim with evidence of what actually happens in nature. This is a rare achievement - the short book that is likely to make a great deal of difference to a very large subject. What Darwin Got Wrong will be controversial. The authors' arguments will reverberate through the scientific world. At the very least they will transform the debate about evolution.

Atheism Is False Richard Dawkins and the Improbability of God Delusion

Atheism Is False Richard Dawkins and the Improbability of God Delusion PDF Author: David Reuben Stone
Publisher: Lulu.com
ISBN: 1430312300
Category : Religion
Languages : en
Pages : 270

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Book Description
David Reuben Stone presents a modern defense of the existence of God. Two new arguments are presented: The Argument From The Laws Of Physics, and the Fine-Tuning Argument. The atheism of Richard Dawkins is refuted in great detail, as well as writings of the following atheistic authors: Quentin Smith, Michael Martin, William Rowe, Victor Stenger, Theodore Drange, J.L. Schellenberg, Nicholas Everitt, Michael Ikeda, Bill Jefferys, Theodore Schick Jr., Wesley C. Salmon, Walter Sinnott-Armstrong, Victor Cosculluela, Thomas Metcalf, and Bruce and Frances Martin. The defenses of atheism by these leading thinkers now stand thoroughly critiqued and in need of substantial revision. A must read for anyone interested in the existence of God. The defense of Hugh Ross's fine-tuning arguments against objections raised by Ikeda and Jefferys is, alone, worth the price of this book! David Reuben Stone is president and founder of Atheism Is False Ministries: www.atheismisfalse.com