How to beat data into a hockey-stick…

When science leads to activism great things can be accomplished but when activism leads to “biased science” to justify the activism, we plumb the depths.

The Gergis affaire has some way to run as her activism-led science is revealed. ACM has preserved some of her activist writings on her now-disappeared blog :

I like to think that ACM played a small part in this story, as commentators are beginning to look closely at Joelle Gergis’ climate activism and how it invariably taints her research.

Commenter Baldrick first located Gergis’ blog here, which revealed her past climate activism, and we preserved it here and here on Webcitation so that if it ever got posted down the memory hole, it would still be available.

Guess what? That’s exactly what happened, and Gergis’ blog wasdisappeared“…

Over at Climate Audit, Steve McIntyre has more on “Screening Fallacies” and the Gergis affaire. But whenever “scientists” engage in screening fallacies (the use of the same data-set for screening out data and then using the remaining data to prove that the assumed criteria for selection are true) it is  nearly always a case of confirmation bias.

If the “true” signal is a Stick, then it should emerge without resorting to flawed methodology. In practical situations with inconsistent proxies, biased methods will typically place heavy weights on a few series (bristlecones in a notorious example) and the validity of the reconstruction then depends on whether these few individual proxies have a unique and even magical ability to measure worldwide temperature – a debate that obviously continues.

Social psychology “science” is notorious for such circular argumentation where the guise of the scientific method is used to promote social theories. But clearly it also applies to “climate science” where the scientific method is misused to promote a social agenda – but perhaps this is because “climate science” with its activism is no more a science – yet – than social psychology is.

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