David Rubenstein's Reviews > Rigor Mortis: How Sloppy Science Creates Worthless Cures, Crushes Hope, and Wastes Billions
Rigor Mortis: How Sloppy Science Creates Worthless Cures, Crushes Hope, and Wastes Billions
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The title of this book Rigor Mortis is not about the death of humans, but is about the death of rigor in science, specifically, medical science and biochemistry. This book goes into considerable detail, about why so many research studies are not reproducible.
According to the book, the wasteful use of money to generate useless, incorrect, unreproducible research is a major contributor to the problem. The reasons are varied. One is that academia encourages publication of incremental, insignificant advances rather than significant increases in understanding. Quantity is encouraged, not quality.
Also, even after a publication has been retracted, it can be cited in the literature hundreds of times, and even assumed to be correct. Researchers are sometimes intellectually lazy, unwilling to accept that a hypothesis is wrong, even after it has been proven to be incorrect.
Then, there are the great technical difficulties in doing some of this research. Sometimes, the results of an experiment can depend on how a test tube is cleaned, how briskly a chemical is stirred, or how similar or different the genetics are of a set of mice.
Sometimes, the lack of money can be an issue, for example, not being able to afford a verification of the type of cell that has been purchased from a biochemical company, or using a sample of animals that is too small to have any statistical significance.
And, sometimes, experiments are simply designed poorly. The use of the "p-value" of statistical significance is often misused, and intellectually lazy researchers sometimes formulate their hypotheses after performing an experiment. This problem is reminiscent of a famous quote by Richard Feynman:
According to the book, the wasteful use of money to generate useless, incorrect, unreproducible research is a major contributor to the problem. The reasons are varied. One is that academia encourages publication of incremental, insignificant advances rather than significant increases in understanding. Quantity is encouraged, not quality.
Also, even after a publication has been retracted, it can be cited in the literature hundreds of times, and even assumed to be correct. Researchers are sometimes intellectually lazy, unwilling to accept that a hypothesis is wrong, even after it has been proven to be incorrect.
Then, there are the great technical difficulties in doing some of this research. Sometimes, the results of an experiment can depend on how a test tube is cleaned, how briskly a chemical is stirred, or how similar or different the genetics are of a set of mice.
Sometimes, the lack of money can be an issue, for example, not being able to afford a verification of the type of cell that has been purchased from a biochemical company, or using a sample of animals that is too small to have any statistical significance.
And, sometimes, experiments are simply designed poorly. The use of the "p-value" of statistical significance is often misused, and intellectually lazy researchers sometimes formulate their hypotheses after performing an experiment. This problem is reminiscent of a famous quote by Richard Feynman:
“You know, the most amazing thing happened to me tonight... I saw a car with the license plate ARW 357. Can you imagine? Of all the millions of license plates in the state, what was the chance that I would see that particular one tonight? Amazing!�
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Started Reading
January 13, 2019
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Finished Reading
January 25, 2019
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Jose
(last edited Jan 26, 2019 03:43PM)
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Jan 26, 2019 03:40PM

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