How science goes wrong
Scientific research has changed the world. Now it needs to change itself
Oct 19th 2013 |From the print edition

A SIMPLE idea underpins science: “trust, but verify”. Results should always
be subject to challenge from experiment. That simple but powerful idea has
generated a vast body of knowledge. Since its birth in the 17th century,
modern science has changed the world beyond recognition, and overwhelmingly
for the better.
But success can breed complacency. Modern scientists are doing too much
trusting and not enough verifying—to the detriment of the whole of science,
and of humanity.
Too many of the findings that fill the academic ether are the result of
shoddy experiments or poor analysis (see article). A rule of thumb among
biotechnology venture-capitalists is that half of published research cannot
be replicated. Even that may be optimistic. Last year researchers at one
biotech firm, Amgen, found they could reproduce just six of 53 “landmark”
studies in cancer research. Earlier, a group at Bayer, a drug company,
managed to repeat just a quarter of 67 similarly important papers. A
leading computer scientist frets that three-quarters of papers in his
subfield are bunk. In 2000-10 roughly 80,000 patients took part in clinical
trials based on research that was later retracted because of mistakes or
improprieties.
What a load of rubbish
Even when flawed research does not put people’s lives at risk—and much of
it is too far from the market to do so—it squanders money and the efforts
of some of the world’s best minds. The opportunity costs of stymied
progress are hard to quantify, but they are likely to be vast. And they
could be rising.
One reason is the competitiveness of science. In the 1950s, when modern
academic research took shape after its successes in the second world war,
it was still a rarefied pastime. The entire club of scientists numbered a
few hundred thousand. As their ranks have swelled, to 6m-7m active
researchers on the latest reckoning, scientists have lost their taste for
self-policing and quality control. The obligation to “publish or perish”
has come to rule over academic life. Competition for jobs is cut-throat.
Full professors in America earned on average $135,000 in 2012—more than
judges did. Every year six freshly minted PhDs vie for every academic post.
Nowadays verification (the replication of other people’s results) does
little to advance a researcher’s career. And without verification, dubious
findings live on to mislead.
Careerism also encourages exaggeration and the cherry-picking of results.
In order to safeguard their exclusivity, the leading journals impose high
rejection rates: in excess of 90% of submitted manuscripts. The most
striking findings have the greatest chance of making it onto the page.
Little wonder that one in three researchers knows of a colleague who has
pepped up a paper by, say, excluding inconvenient data from results “based
on a gut feeling”. And as more research teams around the world work on a
problem, the odds shorten that at least one will fall prey to an honest
confusion between the sweet signal of a genuine discovery and a freak of
the statistical noise. Such spurious correlations are often recorded in
journals eager for startling papers. If they touch on drinking wine, going
senile or letting children play video games, they may well command the
front pages of newspapers, too.
Conversely, failures to prove a hypothesis are rarely even offered for
publication, let alone accepted. “Negative results” now account for only
14% of published papers, down from 30% in 1990. Yet knowing what is false
is as important to science as knowing what is true. The failure to report
failures means that researchers waste money and effort exploring blind
alleys already investigated by other scientists.
The hallowed process of peer review is not all it is cracked up to be,
either. When a prominent medical journal ran research past other experts in
the field, it found that most of the reviewers failed to spot mistakes it
had deliberately inserted into papers, even after being told they were
being tested.
If it’s broke, fix it

All this makes a shaky foundation for an enterprise dedicated to
discovering the truth about the world. What might be done to shore it up?
One priority should be for all disciplines to follow the example of those
that have done most to tighten standards. A start would be getting to grips
with statistics, especially in the growing number of fields that sift
through untold oodles of data looking for patterns. Geneticists have done
this, and turned an early torrent of specious results from genome
sequencing into a trickle of truly significant ones.
Ideally, research protocols should be registered in advance and monitored
in virtual notebooks. This would curb the temptation to fiddle with the
experiment’s design midstream so as to make the results look more
substantial than they are. (It is already meant to happen in clinical
trials of drugs, but compliance is patchy.) Where possible, trial data also
should be open for other researchers to inspect and test.
The most enlightened journals are already becoming less averse to humdrum
papers. Some government funding agencies, including America’s National
Institutes of Health, which dish out $30 billion on research each year, are
working out how best to encourage replication. And growing numbers of
scientists, especially young ones, understand statistics. But these trends
need to go much
further. Journals should allocate space for “uninteresting” work, and
grant-givers should set aside money to pay for it. Peer review should be
tightened—or perhaps dispensed with altogether, in favour of
post-publication evaluation in the form of appended comments. That system
has worked well in recent years in physics and mathematics. Lastly,
policymakers should ensure that institutions using public money also
respect the rules.
Science still commands enormous—if sometimes bemused—respect. But its
privileged status is founded on the capacity to be right most of the time
and to correct its mistakes when it gets things wrong. And it is not as if
the universe is short of genuine mysteries to keep generations of
scientists hard at work. The false trails laid down by shoddy research are
an unforgivable barrier to understanding.



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AGI
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