Calling Bullshit
The Art of Skepticism in a Data-Driven World
Échec de l'ajout au panier.
Échec de l'ajout à la liste d'envies.
Échec de la suppression de la liste d’envies.
Échec du suivi du balado
Ne plus suivre le balado a échoué
Acheter pour 23,31 $
Aucun mode de paiement valide enregistré.
Nous sommes désolés. Nous ne pouvons vendre ce titre avec ce mode de paiement
-
Narrateur(s):
-
Patrick Zeller
-
Auteur(s):
-
Carl T. Bergstrom
-
Jevin D. West
À propos de cet audio
Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.
Misinformation, disinformation, and fake news abound, and it’s increasingly difficult to know what’s true. Our media environment has become hyperpartisan. Science is conducted by press release. Start-up culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don’t feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data.
You don’t need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.
We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2020 Carl T. Bergstrom and Jevin D. West (P)2020 Random House AudioCe que les critiques en disent
“A passionate exposition of how the language of science can be weaponized to mislead both researchers and the public . . . landing just when it has never been more important to know how to navigate data.” (Nature)
“The information landscape is strewn with quantitative cowflop; read this book if you want to know where not to step.” (Jordan Ellenberg, author of How Not to be Wrong)
“Part playful polemic and part serious scientific treatise on a plague that ‘pollutes our world by misleading people about specific issues and ... undermines our ability to trust information in general’ ... a statistically challenging master class in the art of bullshit detection.” (Kirkus Reviews)
Ce que les auditeurs disent de Calling Bullshit
Moyenne des évaluations de clientsÉvaluations – Cliquez sur les onglets pour changer la source des évaluations.
-
Au global
-
Performance
-
Histoire
- rebecca schalkowski
- 2020-08-19
Super informative and interesting!
As a PhD student in STEM with a non-zero understanding of data, I still found this book most interesting and entertaining. The examples are excellent and were largely ones I hadn't come across much or at all previously. The dead salmon study in the last chapter alone is worth listening to the whole book.
The only drawback to this as an audio book is the frequent referencing of plots and figures in the accompanying pdf that make the audio book less suited to listen to away from your phone/computer and you may be better of with a print/e-book version. Overall, highly recommend!!
Un problème est survenu. Veuillez réessayer dans quelques minutes.
Vous avez donné votre avis sur cette évaluation.
Vous avez donné votre avis sur cette évaluation.
-
Au global
-
Performance
-
Histoire
- Jon Cleveland
- 2020-08-24
Straightforward and Engaging guide
A great guide to dealing with bullshit in all its forms. A great toolbox in the digital age of information.
Un problème est survenu. Veuillez réessayer dans quelques minutes.
Vous avez donné votre avis sur cette évaluation.
Vous avez donné votre avis sur cette évaluation.