
Doing research is hard. Getting statistically significant results is hard. Making sure the results you obtain reflect reality is even harder. In this week’s Science, Eric Loken at the University of Connecticut and Andrew Gelman at Columbia University debunk some common myths about the use of statistics in research — and argue that, in many cases, the use of traditional statistics does more harm than good in human sciences research.
Retraction Watch: Your article focuses on the “noise” that’s present in research studies. What is “noise” and how is it created during an experiment?
Yesterday we reported that 
A computer scientist in Malaysia has lost two papers for faked peer reviews, and another for duplication. A fourth paper on which he is a co-author appears to have simply disappeared.
A study 
It’s been a long and winding road for a whistleblower at Indiana University, South Bend.
After a research group submitted two similar papers only days apart to different journals, one journal has retracted the paper — and told the other it should do the same.