Thursday, February 23, 2012

Breaking: EPA scrubs web site of Gleick grants? | JunkScience.com

Gleick’s grants from EPA seem to have been Stalinized.

Here’s the timeline:

Fortunately, we saved a PDF file of one of the EPA grants to Gleick. So unless JunkScience.com gets Stalinized…

Heartland’s Invitation to Gleick – Details « Climate Audit

Jim Lakely of Heartland had said on twitter that Heartland had invited Gleick to speak and that Gleick had refused. I asked Lakely if they would provide me with copies of this correspondence (both to confirm their story and to pin down details of the chronology). Lakely has just provided me with this correspondence together with permission to publish.

An example of a different ethos when you have access to private documents | Watts Up With That?

So clearly, CRU and others in the emails didn’t think twice about sending around open access live links. As David M. Hoffer points out in his article, the researchers don’t seem to have a clue about security. They also leave “sensitive” files they don’t want to share under FOIA requests lying about on open FTP servers. Based on what I’ve seen so far, I don’t think any of the research staff at CRU had either broad access nor the specific tech knowledge to pull this “hack” off.

Somebody who had the ability to peek at these emails as part of their job might just as easily have had access to the RealClimate Server too. Remember there’s almost a quarter million emails we haven’t seen. Chances are, one of those contained the key to the RC server, which allowed them to become an RC administrator and post the original FOIA story which Gavin Schmidt caught and squelched.

I and others I correspond with have our theories about who the leaker might be. From my perspective now, someone with broad system access looks to be a more likely candidate than a malicious outsider.

The Reference Frame: RSS: temperature trend in the last 15 years is negative

We've been emphasizing for a few years that in the last decade, the global warming trend wasn't statistically significant and according to most datasets, it was actually negative: linear regression produces a cooling result.

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