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All of the hysteria over initial claims of improper conduct was based on that small a dataset. The official investigation looked at ALL emails to get the 0.01-0.3% in context. And found no wrongdoing.S&R surveyed its own members as well as Tom Wigley to estimate how many emails were sent per year by different occupations. We found that
approximately 1,500 emails per year sent by the electrical engineer
approximately 1,100 emails were sent by the home manager
between 2,500 and 3,500 emails sent by the marketing professional
about 1,500 emails were sent by the university English professor
and about 5,500 emails sent by climate scientist Wigley (with another 33,000 received emails).
If we estimate that the S&R writers surveyed each receive three emails for every email sent, then we get a yearly total of 6,000 emails, 4,400 emails, 10,000 emails, and 6,000 emails respectively for the S&R writers plu a total of about 39,000 emails per year for Wigley. Over the course of 13 years and for a 15-member workgroup (the period of the CRU emails and the size of the CRU), the total for both the electrical engineer and the English professor is 1.17 million emails, 858k emails for the home manager, a minimum of 1.95 million emails for the marketing professional, and 7.51 million emails for Wigley’s. This compares to about 1100 emails published from CRU’s servers. If we treated the emails as data, then we’d be drawing conclusions based on 0.01% (climatology) to 0.13% (home management) of the data that has also been selected using unclear criteria for unclear reasons.
McIntyre had attacked the Oxburgh panel because "Oxburgh ‘had not looked at the right papers’ and [McIntyre] came up with 5 papers they hadn’t looked at. But none of these papers were highlighted (or even mentioned) in McIntyre’s submission to Muir-Russell or the House of Commons, nor were they mentioned in Andrew Montford’s submissions.
S&R fact-checked this claim as well and compared the submissions McIntyre made to the Muir Russel review and the House of Commons inquiry to the list that McIntyre made at Climate Audit. So far as we could tell, Schmidt’s claim appears to be accurate. Schmidt guessed that the reason that these new papers were highlighted was “only because Oxburgh didn’t look at them” and called it a “clear example of moving goalposts".
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Science Chic wrote: The 3rd and final report has been released today. The scientists are mostly vindicated and cleared of all allegations.
http://www.msnbc.msn.com/id/38120589/ns ... vironment/
The website of the committee in charge of reviewing the evidence and publishing the report, with a link to the full report.
http://www.cce-review.org/
Pages 11-14 are the key findings and recommendations.
In relation to "hide the decline" we find that, given its subsequent iconic
significance (not least the use of a similar figure in the TAR), the figure supplied
for the WMO Report was misleading in not describing that one of the series was
truncated post 1960 for the figure, and in not being clear on the fact that proxy and
instrumental data were spliced together. We do not find that it is misleading to
curtail reconstructions at some point per se, or to splice data, but we believe that
both of these procedures should have been made plain – ideally in the figure but
certainly clearly described in either the caption or the text.
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SS109 wrote: I know I am cynical, but if you were a scientist would you tend to be a little more favorable to your fellows to protect your community reputation? Like how police will give their fellow officers a pass so as to not besmirch the uniform.
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Rockdoc Franz wrote:
SS109 wrote: I know I am cynical, but if you were a scientist would you tend to be a little more favorable to your fellows to protect your community reputation? Like how police will give their fellow officers a pass so as to not besmirch the uniform.
Not if you are an honest sceintist. There are principles to uphold, namely the integrity of science, not the protection of ones reputation. I admit such a view is not always shared among scientists. I've seen far too much data forced to fit a model to suit me for a lifetime.
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SS109 wrote: I know I am cynical, but if you were a scientist would you tend to be a little more favorable to your fellows to protect your community reputation? Like how police will give their fellow officers a pass so as to not besmirch the uniform.
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