This book describes what Intelligence Community (IC) analysts do, how they do it, and how they are affected by the political context that shapes, uses, and sometimes abuses their output. It is written by a 25-year intelligence professional.

An look at what Intelligence Community analysts do and how, and how they are affected by the political context that shapes, uses and abuses their outputs. The US government spends billions of dollars every year to reduce uncertainty: to monitor and forecast everything from the weather to the spread of disease. In other words, we spend a lot of money to anticipate problems, identify opportunities, and avoid mistakes. A substantial portion of what we spend—over $50 billion a year—goes to the US Intelligence Community. Reducing Uncertainty describes what Intelligence Community analysts do, how they do it, and how they are affected by the political context that shapes, uses, and sometimes abuses their output. In particular, it looks at why IC analysts pay more attention to threats than to opportunities, and why they appear to focus more on warning about the possibility of “bad things” happening than on providing the input necessary for increasing the likelihood of positive outcomes. The book is intended to increase public understanding of what IC analysts do, to elicit more relevant and constructive suggestions for improvement from outside the Intelligence Community, to stimulate innovation and collaboration among analysts at all grade levels in all agencies, and to provide a core resource for students of intelligence. The most valuable aspect of this book is the in-depth discussion of National Intelligence Estimates (NIE)—what they are, what it means to say that they represent the “most authoritative judgments of the Intelligence Community,” why and how they are important, and why they have such high political salience and symbolic importance. The final chapter lays out, from an insider’s perspective, the story of the flawed Iraq Weapons of Mass Destruction (WMD) NIE and its impact on the subsequent Iran nuclear NIE—paying particular attention to the heightened political scrutiny the latter received in Congress following the Iraq NIE debacle. Praise for Reducing Uncertainty “This is a well-documented, well-written piece by a former high-ranking member of the intelligence community . . . . Recommended.” —CHOICE “Fingar provides a clear and useful tour of how intelligence analysis is produced.” —Political Science Quarterly “Tom Fingar provides a frank, detailed examination of the challenges to and successes of the U.S. Intelligence Community. In doing so, he reveals insights and strategies that directly address our national security needs. High-stakes examples described by Fingar provide an insider-account only he can provide. The result is riveting and informative.” —William J. Perry, Secretary of Defense for the United States, 1994 to 1997

This book covers the application of algebraic inequalities for reliability improvement and for uncertainty and risk reduction. It equips readers with powerful domain-independent methods for reducing risk based on algebraic inequalities and demonstrates the significant benefits derived from the application for risk and uncertainty reduction. Algebraic inequalities: • Provide a powerful reliability improvement, risk and uncertainty reduction method that transcends engineering and can be applied in various domains of human activity • Present an effective tool for dealing with deep uncertainty related to key reliability-critical parameters of systems and processes • Permit meaningful interpretations which link abstract inequalities with the real world • Offer a tool for determining tight bounds for the variation of risk-critical parameters and complying the design with these bounds to avoid failure • Allow optimising designs and processes by minimising the deviation of critical output parameters from their specified values and maximising their performance This book is primarily for engineering professionals and academic researchers in virtually all existing engineering disciplines.

A timeless classic of economic theory that remains fascinating and pertinent today, this is Frank Knight's famous explanation of why perfect competition cannot eliminate profits, the important differences between "risk" and "uncertainty," and the vital role of the entrepreneur in profitmaking. Based on Knight's PhD dissertation, this 1921 work, balancing theory with fact to come to stunning insights, is a distinct pleasure to read. FRANK H. KNIGHT (1885-1972) is considered by some the greatest American scholar of economics of the 20th century. An economics professor at the University of Chicago from 1927 until 1955, he was one of the founders of the Chicago school of economics, which influenced Milton Friedman and George Stigler.

Banking and financial services are some of the fastest-growing industries in the world's developed countries. As growth is spurred on by huge demand for new and improved services, bankers face the daunting and difficult challenges of reducing risks and uncertainty at a time of unprecedented innovation and prosperity. Managing Banking Risks fills a gap in banking literature by providing a professional and sophisticated risk planner--for bank directors, executives, and managers at every operational level. This important work covers the full range of banking risks that operation managers and executives need to understand--from liquidity risk to price risk to operating risk.

Now updated with new research and even more intuitive explanations, a demystifying explanation of how managers can inform themselves to make less risky, more profitable business decisions This insightful and eloquent book will show you how to measure those things in your own business that, until now, you may have considered "immeasurable," including customer satisfaction, organizational flexibility, technology risk, and technology ROI. Adds even more intuitive explanations of powerful measurement methods and shows how they can be applied to areas such as risk management and customer satisfaction Continues to boldly assert that any perception of "immeasurability" is based on certain popular misconceptions about measurement and measurement methods Shows the common reasoning for calling something immeasurable, and sets out to correct those ideas Offers practical methods for measuring a variety of "intangibles" Adds recent research, especially in regards to methods that seem like measurement, but are in fact a kind of "placebo effect" for management – and explains how to tell effective methods from management mythology Written by recognized expert Douglas Hubbard-creator of Applied Information Economics-How to Measure Anything, Second Edition illustrates how the author has used his approach across various industries and how any problem, no matter how difficult, ill defined, or uncertain can lend itself to measurement using proven methods.

An examination of the cognitive tools that the mind uses to grapple with uncertainty in the real world. How do humans navigate uncertainty, continuously making near-effortless decisions and predictions even under conditions of imperfect knowledge, high complexity, and extreme time pressure? Taming Uncertainty argues that the human mind has developed tools to grapple with uncertainty. Unlike much previous scholarship in psychology and economics, this approach is rooted in what is known about what real minds can do. Rather than reducing the human response to uncertainty to an act of juggling probabilities, the authors propose that the human cognitive system has specific tools for dealing with different forms of uncertainty. They identify three types of tools: simple heuristics, tools for information search, and tools for harnessing the wisdom of others. This set of strategies for making predictions, inferences, and decisions constitute the mind's adaptive toolbox. The authors show how these three dimensions of human decision making are integrated and they argue that the toolbox, its cognitive foundation, and the environment are in constant flux and subject to developmental change. They demonstrate that each cognitive tool can be analyzed through the concept of ecological rationality—that is, the fit between specific tools and specific environments. Chapters deal with such specific instances of decision making as food choice architecture, intertemporal choice, financial uncertainty, pedestrian navigation, and adolescent behavior.