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The Half-life of Facts: Why Everything We Know Has an Expiration Date 0th Edition

63 customer reviews
ISBN-13: 978-1591844723
ISBN-10: 159184472X
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Product Details

  • Hardcover: 256 pages
  • Publisher: Current Hardcover (September 27, 2012)
  • Language: English
  • ISBN-10: 159184472X
  • ISBN-13: 978-1591844723
  • Product Dimensions: 6.3 x 1 x 9.3 inches
  • Shipping Weight: 15.2 ounces
  • Average Customer Review: 3.8 out of 5 stars  See all reviews (63 customer reviews)
  • Amazon Best Sellers Rank: #190,748 in Books (See Top 100 in Books)
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14 of 19 people found the following review helpful By Dr Mike Sutton on October 13, 2012
Format: Hardcover Verified Purchase
I first learned of this book when Sam Arbesman sent me an email to let me know his book supported a myth that he had only learned about after going into print. The myth is the one that Steven Strogatz mentions as though it is veracious in the promotional blurbs on the dust jacket and you'll find it wrongly disseminated again at pages 83 and 84 of this excellent book. The myth is the widely believed spinach Popeye iron decimal error myth (SPIDES).

Sam blogged on his Wired blog to set the record straight and added the mythbusting he had missed in the Errata and updates web page for this book. His own immediate admission of his human error in fact proves the central thesis of this excellent book. To my mind anyone who responds that diligently to what must have been a cringe-worthy "Oh doh!" moment is a scientist whose work is worth following. I'd like to thank Sam for the virtual handshake - he's a much bigger man and better scholar than the little English professor of criminology who in trying to silence me went into ballistic bullying and threatening mode when I recently busted the myth he created in my own field of criminology.

The question that remains outside of the realms of how knowledge expands at exponential rates is why is the SPIDES myth so widely believed and spread by skeptical scholars? Perhaps we need to study the whole life of myths, particularly those believed by credulous skeptics who weirdly fail to check the underlying premises and facts for widely believed claims?

Sam Arbesman (pp. 67-68) tells us: `The creation of facts, as well as their decay, is governed by mathematical rules. But individually, we don't hear of new facts, or their debunking, instantly. Our own personal facts are subject to the information we receive.
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7 of 8 people found the following review helpful By J. Humphrey on January 16, 2013
Format: Hardcover Verified Purchase
A very interesting discussion with some details, but also limited in that the term "Fact" is not precisely defined.
Almost nothing in Science is "Fact"! 99.99999999% of Scientific data supports a theory or theories through the support of evidence produced in various studies that may or may not have been designed properly to support the theory being tested. For example lack of precision in the use of the term "Fact" has led to the statement paraphrased as 'Global Warming and Climate Change Due to Rising CO2 Levels is Settled Science'(blatantly false as to the "settled science" conclusion). The whole thing is a theory that has been modeled and tested to some degree but certainly not to the degree of predictive certainty.
The problem in that situation is that the ability to precisely measure temperature and the necessary complete record keeping from the past allowing one to compare current temperatures to those 100-200 years ago or longer is just not available. Therefore those who study this area use proxies such as tree rings, etc. There are many variables affecting what produces our weather and climate that we know about, and likely thousands if not millions of ones we know nothing about. That makes any realistic projections based on atmospheric CO2 content simple extrapolations and calling it settled science is ludicrous.
That area of study is not the primary subject of this book, but the author uses the word "fact" when the more appropriate word/words would be "consensus belief", "knowledge" or "current theories" in the title and discussion would be more appropriate. The problem with using the word "Fact" is that the general public and some scientists associate "Fact" with "Truth" which is a major mistake.
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Format: Paperback
We're always looking back at how people were blind earlier, only to forget that others would be thinking the same about us. In this sense, this should be a humbling book - except that its not exactly that humbling - its more optimistic, especially about the newfound power of Big Data. Captivating ideas from network science and statistics are presented with interesting anecdotes, but overall poorly executed - making for a short, yet somehow boring book.

From the first pages, where the author tells us about the MCQ exam his father took in medical school with two different answer choices in two successive years - we feel like we will be given a lesson on the fragility of classroom education. Of course, the author's methods are quantitative; he compares the idea of facts and how quickly they are overturned to the familiar concept of half-life of uranium. This would mean that its not possible to comment on any single fact, but a whole field will follow a set of standard mathematical functions in the way it grows, or in the way its facts are overturned.

What I liked about the author was that he didn't get mixed up in philosophical mumbo-jumbo about the meaning of `facts' and instead jumps into the action. The book doesn't only relate to the statistical properties of academic research but also the way humans deal with this information. For example, we often think in terms of linear growth, and find it harder to think in terms of exponential growth. Since I've gotten started on curves, the author suggests that indefinite exponential growth in the style of Moore's law is not expected, and we'll probably end up seeing more of a logistic curve where academic progress or "facts" will plateau as the limit approaches infinity.
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