Has anyone read "Willful Ignorance" by Herbert Weisberg?

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Discussion Overview

The discussion revolves around the book "Willful Ignorance: The Mismeasure of Uncertainty" by Herbert I. Weisberg, focusing on its themes related to conditional probability and Bayesian analysis. Participants express interest in the book's premise and its implications for statistics and scientific research.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant shares their interest in learning about conditional probability and Bayesian analysis, mentioning their current reading list and the potential inclusion of Weisberg's book.
  • Another participant provides links to positive reviews of the book, suggesting it is well-regarded.
  • A third participant confirms the reviews mentioned and adds that they found them helpful.
  • A fourth participant cites an additional positive review by Stephen Few and references a mention of the book on Andrew Gelman's blog, indicating its relevance in discussions of Bayesian statistics.

Areas of Agreement / Disagreement

Participants generally agree that the book has received positive reviews, but there is no consensus on personal experiences with the book itself, as no one has explicitly stated they have read it.

Contextual Notes

Participants express varying levels of familiarity with the book's content and its implications for understanding uncertainty in statistics, but no detailed analysis of the book's arguments or methodologies is provided.

UsableThought
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(To any passing moderator: Feel free to move this to "statistics" forum if you feel that would be more appropriate.)

Although my "to read" list is already too long, I have lately been getting increasingly interested in learning the basics of conditional probability, including Bayesian analysis. My proposed introductory reading consists of a Dover re-issuing of an old but decent book, Introduction to Probability by John E. Freund, most of which I had previously studied many years ago when I was learning classic probability; the probability & statistics sections of a recent book on critical thinking, Weaponized Lies, by Daniel J. Levitin; and two "Very Short Introduction" books that touch on conditional probability, Philosophy of Science and Risk.

However in looking for additional beginner books on Bayes, I came across a 2014 book from Wiley called Willful Ignorance: The Mismeasure of Uncertainty, by Herbert I. Weisberg, who is identified as a statistician, author, and consultant; also as "Founder of Causalytics, LLC, which develops innovative technology for predictive analytics for both medical research and business applications." The book's premise looks fascinating. I searched for reviews online and only found two, both quite positive: http://citizen-statistician.org/2015/05/28/willful-ignorance-book-review/ from a blog on understanding statistics and this from Computing Reviews, an industry web site. I then searched PF for the title and author's last name; alas "no results found."

So if anyone has read it, I'd be interested in your take. I am probably going to order a trial copy & send it back if I find it's completely over my head, or possibly keep it if it's only partly over my head.. Here is from the blurb on Wiley's page for the book:

Through a series of colorful stories about great thinkers and the problems they chose to solve, the author traces the historical evolution of probability and explains how statistical methods have helped to propel scientific research. However, the past success of statistics has depended on vast, deliberate simplifications amounting to willful ignorance, and this very success now threatens future advances in medicine, the social sciences, and other fields. Limitations of existing methods result in frequent reversals of scientific findings and recommendations, to the consternation of both scientists and the lay public.

Willful Ignorance: The Mismeasure of Uncertainty exposes the fallacy of regarding probability as the full measure of our uncertainty . . . The author outlines a path toward the re-engineering of data analysis to help close these gaps and accelerate scientific discovery . . . especially pertinent for professionals in statistics and related fields, including practicing and research clinicians, biomedical and social science researchers, business leaders, and policy-makers.​
 
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jedishrfu said:
I found a couple of reviews online:

Yes, those were the reviews I mentioned.
 
Here is an additional positive review by Stephen Few, a statistician and consultant/entrepreneur specializing in data visualization and business intelligence.

http://www.perceptualedge.com/blog/?p=2295

A mention of this book can also be found among the comments section of Columbia University statistics professor Andrew Gelman's blog (who, as you can probably figure out, has been a long-time proponent of Bayesian inference and Bayesian statistics):

http://andrewgelman.com/2016/03/02/...pothesis-significance-testing/#comment-264832
 
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StatGuy2000 said:
Here is an additional positive review by Stephen Few, a statistician and consultant/entrepreneur specializing in data visualization and business intelligence.

Thanks for that review, I hadn't seen that.
 

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