Paperback: 144 pages
Publisher: Oxford University Press; 1st edition (July 1, 2011)
Language: English
ISBN-10: 0199576203
ISBN-13: 978-0199576203
Product Dimensions: 6.8 x 0.6 x 4.4 inches
Shipping Weight: 6.4 ounces (View shipping rates and policies)
Average Customer Review: 4.2 out of 5 stars See all reviews (6 customer reviews)
Best Sellers Rank: #74,108 in Books (See Top 100 in Books) #4 in Books > Textbooks > Medicine & Health Sciences > Administration & Policy > Health Risk Assessment #5 in Books > Politics & Social Sciences > Social Sciences > Library & Information Science > Library Management #6 in Books > Medical Books > Administration & Medicine Economics > Health Risk Assessment
This is not about data and specific advice regarding the risks that you as an individual face in everyday life (for which see How Risky Is It, Really?: Why Our Fears Don't Always Match the Facts or The Norm Chronicles: Stories and Numbers About Danger). Instead it is a masterful overview of how many disciplines inside academia, and professions outside academia, think about Risk nowadays. Of books I have read (on any subject), it is one of the most successful at combining abstract high-level concepts with a set of substantial real-world examples. In style it is somewhat like a well-written concise textbook rather than a "popular science" book, so it requires some concentration rather than being easy bedtime reading. In the examples it presents data but does not seek to engage any details of statistical analysis.Regarding content, I cannot do better than compress the author's own summary: thinking about risk in the context of decisions where risk matters; creating measures of risk; understanding probabilities of risks by combining historical records, science and expert judgement; how individuals move from understanding risks to making choices; risk perception and judgmental biases; risk communication; cultural aspects of risk.Rather than plugging one author's view, the book emphasizes the many different aspects of risk and the complexity of real-world decision making.
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