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?"
Right? isn't that what American schools and TV have been teaching for the last 30 years? Nerds aren't cool - facts are open to interpretation - everyone is special - you can eat more than you grow... When you have a society rewarding irrationality, what do you expect? Rigorous science?
I want to delete my account but Slashdot doesn't allow it.
Nuff' said
'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.
No, the corrosion of public trust is the incessant idiocy coming from Fox and other Murdoch properties exclaiming "oh those silly scientists got it wrong again!" when the story is about a refinement of a model or something.
Scientists are losing the credibility war because scientists are not PR flacks and are unable to counteract the "we don't have to report actual news, we got a court order saying we don't" assholes at Fox.
There is a concerted effort to discredit scientific research no matter what it is.
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BMO
I received my PhD in physics, and the thesis was measuring a number, in which I measured zero within the error bar. Not particularly interesting, but valid science. My wife was in a PhD program in Biology, she also did valid science, novel measurement technique, came up with an uninteresting result, therefore was not able to publish, therefore was unable to graduate. It would have been extremely simple to fudge the result to a 2-3 sigma result 'hinting' at an interesting answer, which would have gotten published. I think certain sciences have gotten to a point where they have forgotten that if you do valid work in a novel way, then that is science and you should not be punished for the conclusion of the measurement. Most measurements you do of the natural world should probably end up being unsurprising, and thus uninteresting, but you don't graduate or get tenure with those kinds of results. I think this is the mechanism for the positive bias. That is why I do not take results from certain branches of science at face value.
The solution lies in a reformation of research finance that is not focussed on how many papers X published compared to Y, but also takes into account whether they are consequential or not and if they actually comply with at least basic scientific attributes such as repeatibility, verifiablity, falsifiability, accessibility of all data and all conducted research, as well as actually conducted verification of research by independent third parties.
There should also be an outright condemnation of data mining, where data bases are checked only for the existence of attributes and correlations that happen to affirm the researchers opinion and leave all others untouched.
Fields like economics, medicine and climate have long since deteriorated to mere cargo cults due to those failings.
There are "studies", and then there is observation, modelling, prediction, model testing which is this thing called science. "Studies" are bullshit. Scientific research functions as it should. I believe the OP's article is just a chunck of sensationalist BS, or utterly ignorant of what science is (and is not).
You forgot to mention that it is yet another piece of published work that suffers from positive bias...
When you have a hammer, everything looks like a nail.
Anything can become a religion, as a result. We're less critical of our data when that happens, and we "nudge" it into place.
The problem is not "science" per se but our social approach to it.
Academia is a Ponzi scheme built on fudged statistics, unreported failures and outright forged results.
Unfortunately, Publish or Perish and the overadmission of PhD candidates has resulted in a system where getting a paper out is more important than what goes into the paper.
In engineering research, there is definitely a positive bias; in fact, negative results are rarely published at all. This is both because negative results have less sex appeal than positive results and because peer reviewers are trained to outright reject publications without positive results. Although there is huge pressure to publish positive results, I'm not aware of systemic fraud in the literature. What does happen, however, is roughly this: 1) researcher gets great idea. 2) researcher tries idea. 3) idea fails to produce state-of-the-art results. 4) researcher adds hacks and kludges to marginally improve performance. 5) repeat steps 2-5. So, what you get in the end are journals filled with "positive results" that mean nothing and a bunch of "scientists" who make a living doing things that do not really resemble science at all.
Actually, science is stll working; the real trouble comes with the publicity of the science.
You should never believe the results of any single study. Every scientist knows this; or should know this. Science comes when results are confirmed, not when somebody publishes the first paper. The real work of science just starts when somebody publishes a study saying "we show that x has the effect y." That initial paper really is no more than "here's a place to start looking." However, newspapers want to publish news, and they need to publish whatever's hot and interesting and being done today, not "well, scientist z had his team take a look at the xy phenomenon to see if there was anything interesting there, and they couldn't really find anything there, although maybe some other research lab might have different results."
And, I suppose that somebody should post a link to the obligatory xkcd: http://xkcd.com/882/
http://www.geoffreylandis.com
Sorry, but you are asking for something that can be called the "everyone should be at the top" problem. Yes, it would be nice if everyone could understand science, scientific methods and what constitutes the difference between one result and a confirmed, peer-reviewed body of research.
It isn't going to happen that way.
What we need is to stop publishing unconfirmed, preliminary results in popular media. That by itself solves 90% of the problem. So who gets to decide when something is ready for 60 Minutes, Fox and Friends in the Morning or the Today Show? I don't know, but I know it isn't the news media and it should not be the original team reporting some unconfirmed results. Just a rule that says nothing gets copied out of scientific journals until it is marked as having been confirmed by at least one independent team would go a long, long way.