Slashdot Mirror
Positive Bias Could Erode Public Trust In Science
ananyo writes "Evidence is mounting that research is riddled with positive bias. Left unchecked, the problem could erode public trust, argues Dan Sarewitz, a science policy expert, in a comment piece in Nature. The piece cites a number of findings, including a 2005 paper by John Ioannidis that was one of the first to bring the problem to light ('Why Most Published Research Findings Are False'). More recently, researchers at Amgen were able to confirm the results of only six of 53 'landmark studies' in preclinical cancer research (interesting comments on publishing methodology). While the problem has been most evident in biomedical research, Sarewitz argues that systematic error is now prevalent in 'any field that seeks to predict the behavior of complex systems — economics, ecology, environmental science, epidemiology and so on.' 'Nothing will corrode public trust more than a creeping awareness that scientists are unable to live up to the standards that they have set for themselves,' he adds. Do Slashdot readers perceive positive bias to be a problem? And if so, what practical steps can be taken to put things right?"
Positive Bias is another word for Group Think. I guess it could also mean deception
There's a brilliant line on this in "The science of discworld" - I won't pretend I can quote it 100% accurately off the top of my head but it goes something like this:
"In the media you will often read that a certain scientist is trying to prove a theory. Maybe it's because journalists are trained in journalism and don't know how science works or maybe it's because journalists are trained in journalism and don't care how science works - but a good scientist never tries to prove her theory, a good scientist tries her best to disprove her theory before somebody else does it for her, failing to disprove it is what makes a theory trustworthy."
Unicode killed the ASCII-art *
During most of my career in pure physics I got negative results, which were always hell to publish. One of the things you'd hear a lot was, "Don't worry, a negative result is just as good as a positive result!"
At some point I started telling friends and colleagues who got positive results, "Don't worry, a positive result is just as good as a negative result!" Which is false, as proven by the fact that no one but me ever said it.
Negative results are hard to get published, but far more common than positive results. Furthermore, on the road to any positive result there are going to be lots of negatives: even today, working in an area where true positives are much more common, I try to put a section in every paper entitled something like "Things That Did Not Work So Well", because any experiment or computation or theory is likely to involve some dead ends that seemed like a good idea at the time, and if scientists don't report on them they will continue to seem like good ideas to people who haven't tried them, who will then waste effort on trying them, and fail to publish them when they don't work...
Blasphemy is a human right. Blasphemophobia kills.
Yup, that's the crux of the problem. While it may be true, as others say below, that publication bias against negative results occurs in all fields (such as physics) regardless of study funding, what we are seeing now is the influence of pharmaceutical industry funding in the clinical trials used for FDA approval of drugs (that is, a company funding the trial of its own drug).
Specifically, drug studies funded by pharmaceutical companies are four times more likely to show a positive benefit than ones funded by neutral sources. This is a problem because nearly two-thirds of clinical trials used for FDA approval are now industry-funded.