Washington Post on the Mann FOIA Case « Climate Audit

Mann called ATI’s argument “disingenous”. Mann contradicted the FOIA experts interviewed by the Washington Post

P.Wm. climate change case takes center stage - The State of NoVa - The Washington Post

By giving the emails to Mann, the university has waived any exemptions they’re claiming to the state Freedom of Information Act, ATI says.

You gave ‘em to him, you gotta give ‘em to us, basically. And a number of well-informed FOIA experts in Virginia say that ATI is right.

“I would agree with that,” said Megan Rhyne, executive director of the Virginia Coalition for Open Government. “Once you turn it over in one venue, you’re deciding to give it out.”

Kevin Goldberg, a First Amendment and FOIA lawyer in Arlington, said, “I can see that the balance is now tipped in [ATI’s] favor. Now it’s up to the University to prove they can still withhold the material.”

Carl Pope: "We Grow Fastest When We Grow Greenest" ~ LA Mayor Antonio Villaraigosa

Sensationalist And Distorted Climate Stories Increase As Climate Science Failures Exposed

It appears there’s a media blitz to recover lost momentum as the public reject claims of global warming. The structure of the Intergovernmental Panel on Climate Change (IPCC) is one of alarmism. Their Science Report claims to prove humans cause climate change and is the basis for The Impacts, Adaption, and Vulnerability Report that lists a multitude of potential disasters. These are a source for supporters and media as they try to scare public reaction. It suits the sensationalism of journalism and especially the bias of the mainstream media. So they publish articles of pure speculation and impending doom as if they are fact. A March 12 Vancouver Sun article titled Greenland ice sheet melting would be irreversible: study is a classic alarmist report ideal to illustrate how the media exploit sensationalism.

If the newspaper understood the science, they would know the article is scientifically selective and inaccurate. As with any deception, omissions are as important as inclusions. We’re not told the research is based on computer models built on completely inadequate data whose predictions are consistently incorrect.