Widening the search for suspect data - is the flood of retractions about to become a tsunami?

The article discusses different methods adopted by journal's editors for recognizing and detecting fraudulent data submitted by researchers. Topics include statistical methods suggested by J. B. S. Haldane for detecting fraud data; raising awareness among author's and journal's editors about the problem of plagiarism; and use of statistical method by researcher John Carlisle using data from the randomized controlled trials.