I think this is a news item that should circulate, I don't know if there are any principles to discuss. A doctor who has published a lot of papers on the topic of pain management has committed massive fraud, and 21 of his articles (to date) have been withdrawn. At least two of the studies he reported never took place (were lies)!
http://www.theness.com/neurologicablog/?p=495
http://scienceblogs.com/insolence/2009/03/the_most_massive_scientific_fraud_ever.php
http://www.sciencebasedmedicine.org/?p=406
If there is anything non-scientists may not realize, it is that we are heavily reliant on the honesty of researchers when they present data. When we review articles, we look to see if the data support the conclusions; it is nearly impossible to locate fraud (or, even, simple mistakes) in the data reported in a paper. There is a saying "Never attribute to malice that which can be explained by incompetence." I have seen bad data; but I have never suspected fraud.
That written, I bet there are a lot of people, today, wondering how they missed the fraud in so many papers. There are probably a lot of doctors who suspected something was wrong; but lacked the resources to do the proper experiments. Clinical research is terribly expensive and slow.
http://www.theness.com/neurologicablog/?p=495
http://scienceblogs.com/insolence/2009/03/the_most_massive_scientific_fraud_ever.php
http://www.sciencebasedmedicine.org/?p=406
If there is anything non-scientists may not realize, it is that we are heavily reliant on the honesty of researchers when they present data. When we review articles, we look to see if the data support the conclusions; it is nearly impossible to locate fraud (or, even, simple mistakes) in the data reported in a paper. There is a saying "Never attribute to malice that which can be explained by incompetence." I have seen bad data; but I have never suspected fraud.
That written, I bet there are a lot of people, today, wondering how they missed the fraud in so many papers. There are probably a lot of doctors who suspected something was wrong; but lacked the resources to do the proper experiments. Clinical research is terribly expensive and slow.
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