Survey of 1800 scientists: The ‘97% consensus’ is now 43% – ‘Less than half of climate scientists agree with UN IPCC ‘95%’ certainty’

Via: http://joannenova.com.au/2015/07/less-than-half-of-climate-scientists-agree-with-the-ipcc-95-certainty/

I used to think there was a consensus among government-funded certified climate scientists, but a better study by Verheggen et al shows even that is not true.[1] The “97% consensus” is now 43%.

Finally there is a decent survey on the topic, and it shows that less than half of what we would call “climate scientists” who research the topic and for the most part, publish in the peer reviewed literature, would agree with the IPCC’s main conclusions. Only 43% of climate scientists agree with the IPCC “95%” certainty

More than 1800 international scientists studying various aspects of climate change (including climate physics, climate impacts, and mitigation) responded to the questionnaire. Some 6550 people were invited to participate in this survey, which took place in March and April 2012. Respondents were picked because they had authored articles with the key words ‘global warming’ and/or ‘global climate change’, covering the 1991–2011 period, via the Web of Science, or were included the climate scientist database assembled by Jim Prall, or just by a survey of peer reviewed climate science articles. Prall’s database includes some 200 names that have criticized mainstream science and about half had only published in “gray literature”. (But hey, the IPCC quotes a lot of gray literature itself, as Donna LaFramboise found.)

Fabius Maximus suggests we exclude the “I don’t knows” which brings up the number to 47%. Since these are “climate scientists” I don’t see why those responses should be excluded. An expert saying “I don’t know” on the certainty question is an emphatic disagreement with the IPCC 95% certainty.

The IPCC AR5 Statement:

“It is extremely likely {95%+ certainty} that more than half of the observed increase in global average surface temperature from 1951 to 2010 was caused by the anthropogenic increase in greenhouse gas concentrations and other anthropogenic forcings together. ”

— Summary for Policymakers of the IPCC’s AR5 Working Group I.

Climate scientists, survey, consensus, 97%, certainty,

Climate Scientists, consensus, survey, 97%, 43%, certainty

The researchers acknowledge that skeptics may be slightly over-represented, “it is likely that viewpoints that run counter to the prevailing consensus are somewhat (i.e. by a few percentage points) magnified in our results.” I say, given that skeptics get sacked, rarely get grants to research, and find it harder to get published, they are underrepresented in every way in the “certified” pool of publishing climate scientists. Skeptical scientists, I daresay, would be much less likely to use the …

‘Claim that 97% of scientists support climate alarm cannot be supported’

http://business.financialpost.com/fp-comment/claim-that-97-of-scientists-support-climate-alarm-cannot-be-supported
Cook, being a PhD student in psychology with a background in communication studies, is hardly in a position to dismiss the membership of the American Meteorological Society as “fake experts.” As to fakery, I would refer readers to the analysis of Cook’s work by social psychologist Jose Duarte, noting that the word “fraud” appears 21 times in that essay alone, and it is not even the harshest of Duarte’s essays on Cook’s discredited methods. Economist Richard Tol has also published detailed excoriations of Cook’s work at as well as in the peer-reviewed literature, as have others.…

The 97 Percent Climate Change Consensus That Wasn’t

http://news.heartland.org/newspaper-article/2015/04/06/97-percent-climate-change-consensus-wasnt

Cook’s paper, because of its poor research methods, doesn’t even prove the limited claim 97 percent of the academic literature supports a human role in climate change.

Cook and his colleagues, including a small group of environmental activists, claimed to examine abstracts of more than 12,000 papers. Tol writes:

They 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 analyzed 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.

The environmental activists Cook enlisted to determine what the papers under consideration claimed about climate change did not work independently. Rather, they freely compared notes, discussing their work. They disagreed among themselves concerning what the papers were about 33 percent of the time. Sixty-three percent of the time, they disagreed with the authors of the papers concerning their messages and findings. This is post-modern science at its worst. Critics and outside ‘experts’ rather than the authors themselves have the final say over what an author or team of researchers are truly saying in their own paper. The original authors are simply offering one opinion, not necessarily the definitive one, concerning what their research shows.

In addition, writes Tol, “Cook 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.” Yet this is precisely what Cook did. Computer time stamps from the research reveal Cook’s team collected data for eight weeks, analyzed it for four weeks, and then collected three more weeks of data. The same people who collected the data analyzed it. After the initial analysis, they changed their classification scheme in the middle of the study and collected more data.

The paper’s reviewers did not question this gross misconduct. Instead, the editor praised the authors for “excellent data quality.”

These methodological errors should lead to the paper being withdrawn with an apology from the authors and the journal.

Going back …