How False Information Becomes "Fact"
The gist of the problem is a basic application of Bayes’ rule: If true positives are rare and false positives are not uncommon, most published positives will be false positives. If in addition most published studies are positive, a high fraction of the published literature will be false.
http://retractionwatch.com/2016/10/05...
http://retractionwatch.com/2016/10/05...