糖心Vlog

Forget Trump, the threat to science comes from within

Experts are out of fashion with today鈥檚 political vanguard, but fraudulent research risks further undermining science, says 罢贬贰鈥s Asia-Pacific editor John Ross

Published on
August 7, 2018
Last updated
August 7, 2018
Faking it

Academia is a sector under siege as its expertise is called into doubt regularly by Donald Trump and political leaders around the world. While it鈥檚 true that alternative facts may be cooked up on social media, in the tabloid press, in mercenary contracts to manipulate elections, they鈥檙e also brewed in the lab, where a publish or perish dictum drives careers. Fraudulent research does nothing to help academia鈥檚 standing with the public, but more critically, it threatens science.聽

Speak to academic researchers聽and they鈥檙e disinclined to over-egg their findings. But they operate in a world where they鈥檇 be crazy not to. Negative results, for example, don鈥檛 interest journal editors. But, at the whiff of a chance that some novel idea could聽actually be true, suddenly they鈥檙e all ears.

Science would actually be served if null results were published. Scores of fellow researchers could avoid dead ends and invest their time and resources more profitably. But that鈥檚 not how it works in academic publishing, where sensation rules. The language might be different to the tabloids, but the sensibility is the same.

The system encourages tweaking of research results to get them over the line, to nudge them into the realm of statistical significance. And it arms researchers with a perfectly tailored weapon: the p-value, that century-old test of statistical significance聽that 鈥 to a journalist鈥檚 eyes 鈥 looks anything but. Whoever coined the phrase 鈥渓ies, damned lies and statistics鈥 could have had p-values in mind.

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What does this mean in practice? It means that academics routinely publish findings that cannot be replicated. The so-called replication crisis has plagued psychology and biomedicine. It is partly responsible for the billions of dollars squandered on fruitless drug trials 鈥 a cost that we all end up wearing every time we visit the chemist.

Now an Australian-led study has that this statistical gamesmanship is not limited to psychology and biomed. It鈥檚 alive and well in evolution and ecology.

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That鈥檚 no surprise, really. Pressure to publish聽is not discipline-specific. It permeates research.

Does it matter if researchers falsify some theory about how the newt evolved, or whether prairie voles mate for life? If they get it wrong, it鈥檚 not going to ramp up the price of antibiotics, after all.

The University of Melbourne ecologist Hannah Fraser, who led the Australian study looking at fraud in evolution and ecology research, says that it matters because it gives policymakers a 鈥渘eat scientific excuse鈥 not to do anything about, say, excessive land clearing. Or climate change.

While some researchers build careers on debased science, others build careers combating it, drifting away from the disciplines that they鈥檝e devoted years to because they figure that they can make a bigger contribution by putting derailed science back on the right track.

One of them is , a Harvard-trained medical doctor who sidelined into statistics and is now a professor of both disciplines at Stanford University. He once demonstrated empirically that research findings .

Research integrity campaigners say that the statistical tweaking of research results is widespread, and a much bigger problem than the brazen scientific fraud that captures the headlines, such as Andrew Wakefield鈥檚 discredited linking vaccination with autism.

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Or thalidomide whistleblower William McBride鈥檚 false that the morning sickness drug Debendox caused birth deformities. Or Japanese biologist Haruko Obokata鈥檚 discovery of a way of manufacturing stem cells. Or Swedish marine biologist Oona L枚nnstedt鈥檚 claims that microplastics were driving European perch towards extinction.

But the reality is, we don鈥檛 know how many researchers graduate from statistical fine-tuning to full-blown fabrication. 鈥淚t鈥檚 really hard to get data on fraud,鈥 Fraser acknowledges. 鈥淧eople aren鈥檛 going to answer honestly, even in an anonymous survey.

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鈥淎nd there鈥檚 institutional pressure not to report people who are behaving fraudulently. I know a couple of places where people are aware of fraud and don鈥檛 report it 鈥 or have reported it, and nothing鈥檚 happened.鈥

As a journalist, I鈥檓 pursuing a couple of instances of alleged research fraud where investigations are proceeding at glacial pace. Universities and journals seize any opportunity to sweep it under the carpet.

Fraser says that it鈥檚 hard to believe that research fraud would be as prevalent as the 鈥渜uestionable鈥 research practices that she investigated, with more than 50 per cent of researchers confessing to a bit of judicious tweaking. 鈥淭he point of science is to understand truth,鈥 she points out.

Admittedly, shysters could probably find richer pickings elsewhere. Banking comes to mind.

But if the best defence that it can manage is that it鈥檚 better than banking, science probably deserves its sceptics.

聽John Ross is 糖心Vlog鈥s Asia-Pacific editor. He is based in Melbourne.聽

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Reader's comments (2)

You have a good point about p values. There is a solution, though it's hard to get journals to adopt it, because they are scared that it might reduce their wretched impact factor. http://www.onemol.org.uk/?page_id=456
You have a good point about p values. There is a solution, though it's hard to get journals to adopt it, because they are scared that it might reduce their wretched impact factor. http://www.onemol.org.uk/?page_id=456

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