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Global warming consensus claim doesn’t stand up
RICHARD TOL THE AUSTRALIAN MARCH 25, 2015 12:00AM
Now almost two years old, John Cook’s 97 per cent consensus paper on anthropogenic global warming has been a runaway success. Downloaded more than 300,000 times, voted the best 2013 paper in Environmental Research Letters, frequently cited by peers and politicians from around the world, the paper seems to be the definitive proof that the science of climate change is settled. It isn’t.
Consensus has no place in science. Academics agree on lots of things, but that does not make them true. Even so, agreement climate change is real and human-caused does not tell us anything about how the risks of climate change weigh against the risks of climate policy. But in our age of pseudo-Enlightenment, having 97 per cent of researchers on your side is powerful rhetoric for marginalising political opponents. All politics ends in failure, however. Chances are the opposition will gain power well before the climate problem is solved. Polarisation works in the short run, but is counterproductive in the long run.
Cook and colleagues argue 97 per cent of the relevant academic literature endorses that humans have contributed to observed climate change. This is unremarkable. It follows immediately from the 19th century research by Fourier, Tyndall and Arrhenius. In popular discourse, however, Cook’s finding is often misrepresented. The 97 per cent refers to the number of papers, rather than the number of scientists. The alleged consensus is about any human role in climate change, rather than a dominant role, and it is about climate change rather than the dangers it might pose.
Although there are large areas of substantive agreement, climate science is far from settled. Witness the dozens of alternative explanations of the 18-year pause in warming of the surface atmosphere. The debate on the seriousness of climate change or what to do about it ranges even more widely.
The Cook paper is remarkable for its quality, though. Cook and colleagues studied 12,000 papers, but did not check whether their sample is representative for the scientific literature. It isn’t. Their conclusions are about the papers they happened to look at, rather than about the literature. Attempts to replicate their sample failed: a number of papers that should have been analysed were not, for no apparent reason.
The sample was padded with irrelevant papers. An article about TV coverage on global warming was taken as evidence for global warming. In fact, about three-quarters of the papers counted as endorsements had nothing to say about the subject matter.
Cook enlisted a small group of environmental activists to rate the claims made by the selected papers. Cook claims the ratings were done independently, but the raters freely discussed their work. There are systematic differences between the raters. Reading the same abstracts, the raters reached remarkably different conclusions — and some raters all too often erred in the same direction.
Cook’s hand-picked raters disagreed on what a paper was about 33 per cent of the time. In 63 per cent of cases, they disagreed about the message of a paper with the authors of that paper. The paper’s reviewers did not pick up on these things. The editor even praised the authors for the “excellent data quality” even though neither he nor the referees had had the opportunity to check the data. Then again, that same editor thinks climate change is like the rise of Nazi Germany. Two years after publication, Cook admitted that data quality is indeed low.
Requests for the data were met with evasion and foot-dragging, a clear breach of the publisher’s policy on validation and reproduction, yet defended by an editorial board member of the journal as “exemplary scientific conduct”. Cook hoped to hold back some data, but his internet security is on par with his statistical skills, and an alleged hacker was not intimidated by the University of Queensland’s legal threats. Cook’s employer argued that releasing rater identities would violate a confidentiality agreement. That agreement does not exist.
Cook first argued that releasing time stamps would serve no scientific purpose. This is odd. Cook’s raters essentially filled out a giant questionnaire. Survey researchers routinely collect time stamps, and so did Cook. Interviewees sometimes tire and rush through the last questions. Time stamps reveal that. Cook argued time stamps were never collected. They were. They show one of Cook’s raters inspected 675 abstracts within 72 hours, a superhuman effort.
The time stamps also reveal something far more serious. After collecting data for eight weeks, there were four weeks of data analysis, followed by three more weeks of data collection. The same people collected and analysed the data. After more analysis, the paper classification scheme was changed and yet more data collected.
Cook thus broke a key rule of scientific data collection: observations should never follow from the conclusions. Medical tests are double-blind for good reason.
You cannot change how to collect data, and how much, after having seen the results.
Cook’s team may, perhaps unwittingly, have worked towards a given conclusion. And indeed, the observations are different, significantly and materially, between the three phases of data collection. The entire study should therefore be dismissed.
This would have been an amusing how-not-
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