Fake Science
Exposing the Left's Skewed Statistics, Fuzzy Facts, and Dodgy Data
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Narrated by:
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Mike Chamberlain
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By:
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Austin Ruse
About this listen
If you listen to any political argument, you're eventually bound to hear something like: "The science is settled on this." Or: "Just look at the statistics!" Or: "There have been studies that say..."
You'd think we were living in the golden age of science and reason. But the truth is far more sinister, says Austin Ruse. We're actually living in the age of the low information voter, easily misled by all-too-convincing false statistics and studies. In Fake Science, Ruse debunks so-called "facts" used to advance political causes one after the other, revealing how poorly they stand up to actual science.
©2017 Mission Audio (P)2017 Mission AudioWhat listeners say about Fake Science
Average customer ratingsReviews - Please select the tabs below to change the source of reviews.
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- Dan Lewis
- 07-04-23
The looney left
Great book highlighting the looney lefts junk science better known as science to fit their false narrative. It’s merely activism dressed up as science. God help us.
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1 person found this helpful
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- "unknown"
- 29-04-24
Fake Science Indeed
If you're expecting a balanced critique of genuinely controversial scientific findings or the politicization of science, reading Austin Ruse's Fake Science: Exposing the Left's Skewed Statistics, Fuzzy Facts, and Dodgy Data is akin to waiting for Godot. This book misses the mark of objective critique, instead offering a series of pointed attacks masked as scientific analysis. Ruse cherry-picks data and misrepresents studies to bolster his argument, which detracts from the valid discussion about biases in scientific research.
The work is less an exploration of science and more a polemic against perceived left-wing conspiracies. Those looking for insightful or nuanced discussion on the actual challenges facing scientific integrity today will find this book disappointingly one-sided. It serves as a reminder of how critical thinking is essential, not just in interpreting scientific data, but also in discerning the quality of its critique.
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