Has anyone read "Willful Ignorance" by Herbert Weisberg?

Click For Summary
SUMMARY

The discussion centers around the book "Willful Ignorance: The Mismeasure of Uncertainty" by Herbert I. Weisberg, a notable statistician and founder of Causalytics, LLC. The book explores the historical evolution of probability and critiques the oversimplifications in statistical methods that hinder scientific progress. Positive reviews highlight its relevance for professionals in statistics, medicine, and social sciences, emphasizing its insights into Bayesian analysis and conditional probability. The author advocates for a re-engineering of data analysis to enhance scientific discovery.

PREREQUISITES
  • Basic understanding of conditional probability
  • Familiarity with Bayesian analysis
  • Knowledge of statistical methods and their applications
  • Interest in the intersection of statistics and scientific research
NEXT STEPS
  • Read "Introduction to Probability" by John E. Freund
  • Explore "Weaponized Lies" by Daniel J. Levitin for insights on probability in critical thinking
  • Investigate Bayesian inference techniques and their applications
  • Review additional literature on statistical methods and their impact on scientific findings
USEFUL FOR

Statisticians, researchers in biomedical and social sciences, business leaders, and policy-makers seeking to enhance their understanding of probability and its implications in scientific research.

UsableThought
Messages
381
Reaction score
249
(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.​
 
Mathematics news on Phys.org
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
 
  • Like
Likes   Reactions: UsableThought
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.
 

Similar threads

  • · Replies 16 ·
Replies
16
Views
3K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 10 ·
Replies
10
Views
6K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 115 ·
4
Replies
115
Views
15K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 45 ·
2
Replies
45
Views
4K
Replies
3
Views
2K
  • · Replies 62 ·
3
Replies
62
Views
55K