I heard this guy interviewed on John Batchelor's program. The essential thesis is that most science is just wrong or faked. Peer review doesn't pick up fraud and isn't designed to do so. Most articles in major journals are just wrong. He even says that 90% of medicine is wrong. Not sure how one would make that calculation. But, it sure is fun watching convention get slapped around.
I guess I need to say something theological or evolutionary so to make the delight taken in petty thread-moving criticism a bit more challenging.
Evolutionary science is a cabal of experts who are mostly wrong and retreat before their betters, yet always declaring victory and complete faithfulness to the failed Darwinian model. Medical science is a bit different in that it can be tested and refuted. Evolutionary theories really can't be tested the same way at all.
Let's see if a critic can manage something better than, "Freedman is also an expert."
Author & Journalist David Freedman (David H. Freedman)
The measurement problems that undermine many, if not most, scientific findings
Newsweek: The Case Against Experts
Time: Experts and Studies: Not Always Trustworthy
The New York Post: Why Experts Are Usually Wrong
Fast Company: The Gene Bubble
Why genetic research isn't producing nearly the payoff that scientists told us to expect
Babble.com: 6 Types of Parenting Advice You Shouldn’t Trust
From the NYPOst article:
I guess I need to say something theological or evolutionary so to make the delight taken in petty thread-moving criticism a bit more challenging.
Evolutionary science is a cabal of experts who are mostly wrong and retreat before their betters, yet always declaring victory and complete faithfulness to the failed Darwinian model. Medical science is a bit different in that it can be tested and refuted. Evolutionary theories really can't be tested the same way at all.
Let's see if a critic can manage something better than, "Freedman is also an expert."
Author & Journalist David Freedman (David H. Freedman)
[FONT=Helvetica,Arial,sans-serif]WRONG In the News[/FONT]
Discover Magazine: The Streetlight Effect
The measurement problems that undermine many, if not most, scientific findings
Newsweek: The Case Against Experts
Time: Experts and Studies: Not Always Trustworthy
The New York Post: Why Experts Are Usually Wrong
Fast Company: The Gene Bubble
Why genetic research isn't producing nearly the payoff that scientists told us to expect
Babble.com: 6 Types of Parenting Advice You Shouldn’t Trust
From the NYPOst article:
Every day, expert advice assaults us from newspapers, websites and televisions. But judging by the state of the world and our lives, it doesn’t seem to be doing us much good.
Blame the media (of course), but know that’s only a small part of the problem. Experts — that is, actual scientists, not just Dr. Phil — are often wrong, more often than we might think.
Scientists themselves have examined the reliability of their own findings, and have come to some sobering conclusions. Take medical research, which has been especially well-scrutinized. About two-thirds of the findings published in top medical journals end up being refuted within a few years.
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As much as 90% of medical knowledge has been gauged to be substantially or completely wrong. We spend about $95 billion annually on medical research in the US, but average life span here has barely increased since 1978 — and most of the improvement was due to the drop in smoking rates. The picture of expert trustworthiness is no better or even worse in most other fields. One examination of published economics findings concluded that the wrongness rate is essentially 100%. In that light, is it surprising that we weren’t as well-protected as we thought from investment and banking system disasters?
Why all the wrong? Usually because of a hunger for easy answers that you can’t get from chaotic, complicated systems. But that doesn’t stop Oprah — who must feed a daily show — or even scientists, whose careers are tied to making a splash in prestigious research journals.
These journals want the same sorts of exciting, useful findings that we all appreciate. And what do you know? Scientists manage to get these exciting findings, even when they’re wrong or exaggerated. It’s not as hard as you might think to get a desired but wrong result in a scientific study, thanks to how tricky it is to gather good data and properly analyze it, leaving plenty of room for ambiguity and error, honest or otherwise. If you badly want to prove an experimental drug works, you can choose your patients very carefully, and find excuses for tossing out the data that looks bad. If you want to prove that dietary fat is good for you, or that fat is bad for you, you can just keep poring over different patient data until you find a connection that by luck seems to support your theory — which is why studies constantly seem to come to different findings on the same questions.
Read more: http://www.nypost.com/p/news/opinio...ly_wrong_LsjnnoKdgoOoH5QJHmT5QO#ixzz0yJu2YxIp
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