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A Field Guide to Lies: Critical Thinking in the Information Age (2016)

af Daniel J. Levitin

MedlemmerAnmeldelserPopularitetGennemsnitlig vurderingOmtaler
4531542,634 (3.72)2
We are bombarded with more information each day than our brains can process, especially in election season. It's raining bad data, half-truths, and even outright lies. Daniel J. Levitin shows how to recognize misleading announcements, statistics, graphs, and written reports revealing the ways lying weasels can use them.… (mere)
  1. 00
    Virtual Unreality: Just Because the Internet Told You, How Do You Know It’s True? af Charles Seife (themulhern)
    themulhern: Better book, similar subject.
  2. 00
    Probability and Statistics for Everyman af Irving Alder (themulhern)
    themulhern: If you are actually interested in understanding probability, try this instead.
  3. 00
    Proofiness: The Dark Arts of Mathematical Deception af Charles Seife (themulhern)
    themulhern: If you like the subject, but would like to read a better, clearer, more insightful, and funnier book.
  4. 00
    Bad Pharma: How Drug Companies Mislead Doctors and Harm Patients af Ben Goldacre (themulhern)
    themulhern: For a counter-argument about the reliability of peer-reviewed journals, at least medical ones.
  5. 00
    Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists af Joel Best (PuddinTame)
    PuddinTame: Daniel J. Levitan particularly recommended this book in his own.
  6. 00
    Naked Statistics: Stripping the Dread from the Data af Charles Wheelan (PuddinTame)
    PuddinTame: Daniel J. Levitan particularly recommended this book in his own.
  7. 00
    How to lie with statistics af Darrell Huff (PuddinTame)
    PuddinTame: Daniel J. Levitin said that his book was inspired by Huff's, a book he had read several times and appreciated more with each reading.
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Good tips, and valuable recommendations for thinking critically about information we receive, especially from ideologically based websites and blogs. It's sad to see the studies which show how poor many students are at being able to question and recognize illogical and unsubstantiated data.
( )
  rsutto22 | Jul 15, 2021 |
Very basic but useful. ( )
  Paul_S | Dec 23, 2020 |
Definitely learned stuff from this book but its not an entertaining tome and is drier than Levitin's other works. ( )
  fionaanne | Aug 12, 2020 |
I expected this to be a modern (and thicker) version of [b:How to Lie with Statistics|51291|How to Lie with Statistics|Darrell Huff|https://images.gr-assets.com/books/1427665814s/51291.jpg|415346]. That 1954 book is so good that I don’t see a need to replace it, but I'll give this one a read. Now that I’ve read it - Yes, I do like [b:How to Lie with Statistics|51291|How to Lie with Statistics|Darrell Huff|https://images.gr-assets.com/books/1427665814s/51291.jpg|415346] better. It is more concise, and surprisingly, some of the examples in this modern book are taken from [b:How to Lie with Statistics|51291|How to Lie with Statistics|Darrell Huff|https://images.gr-assets.com/books/1427665814s/51291.jpg|415346]. Get the older book. It’s easier to read, easier to understand, more fun, and doesn’t take as long to read.

Here are some interesting statements from this book.

"Mark Zuckerberg, Matt Damon and Bill Gates are financially successful people who dropped out of Harvard.” (Page 87)

“We also have a tendency to apply critical thinking only to things we disagree with.” (Page 119)

“Have you come across HathiTrust? It’s the corpus of books from research libraries that is behind google Books, and it’s a gold mine, especially for pre-1928 printed material.” (Page 126)

“… often the punishment is meager and doesn’t serve as much of a deterrent. Energy-drink company Red Bull paid more than $13 million in 2014 to settle a class-action lawsuit… Target agreed to pay $3.9 million… Whole Foods .. Kellog’s… While these amounts might sound like a lot … these fines are little more than a rounding error in their accounting.” (Page 145-146)

ssrn.com to help you vet research papers, (Page 144)
Fact checking sites:
politifact.com by Tampa Bay Times
Washington Post (Page 147)

"Real science is replete with controversy, doubts, and debates about what we really know. Real scientific knowledge is gradually established through many replications and converging findings.” (Page 182)

Bottom line: I prefer [b:How to Lie with Statistics|51291|How to Lie with Statistics|Darrell Huff|https://images.gr-assets.com/books/1427665814s/51291.jpg|415346]. ( )
  bread2u | Jul 1, 2020 |
Puro buonsenso. Se dovessi descrivere in due parole questo libro, il mio lapidario giudizio sarebbe questo. Levitin, forse perché non è un matematico o uno statistico di professione, riesce a mostrare in modo semplice come sia facilissimo dare al lettore frettoloso un'idea completamente sbagliata di cosa sta davvero succedendo... il tutto senza nemmeno darsi la pena di falsare i dati. Tutto quello che serve è presentarli in maniera opportuna. L'autore non si fa problemi a riconoscere, soprattutto nella prima parte "Evaluating numbers", il proprio debito verso il libro di Darrell Huff Mentire con le statistiche, meritoria opera ancora valida nonostante i suoi decenni e anche disponibile in italiano: di nuovo, non è un caso che nemmeno Huff fosse matematico. Qui naturalmente gli esempi sono più moderni, e per esempio quello del discorso di Rumsfeld (con le "unknown unknows") è davvero da manuale; ma soprattutto le sezioni "Evaluating the words" e "Evaluating the world" vi aiuteranno a guardare alle notizie con occhi nuovi. ( )
  .mau. | May 16, 2020 |
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This is a book about how to spot problems with the facts you encounter, problems that may lead you to draw the wrong conclusions.  (Introduction)
Statistics, because they are numbers, appear to us to be cold, hard facts.
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We're far better off knowing a moderate number of things with certainty than a large number of things that might not be so.  (Conclusion: Discovering Your Own, p. 254 {Dutton, 2016})
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We are bombarded with more information each day than our brains can process, especially in election season. It's raining bad data, half-truths, and even outright lies. Daniel J. Levitin shows how to recognize misleading announcements, statistics, graphs, and written reports revealing the ways lying weasels can use them.

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