Over at Crooked Timber, John Quiggin lays into climate scientist Richard Lindzen. His post begins with reasons one might be inclined to take Lindzen’s views seriously:
Unlike nearly all “sceptics”, he’s a real climate scientist who has done significant research on climate change, and, also unlike most of them, there’s no evidence that he has a partisan or financial axe to grind.
But then, we find the 2001 Newsweek interview that gives Quiggin reason for pause:
Lindzen clearly relishes the role of naysayer. He’ll even expound on how weakly lung cancer is linked to cigarette smoking. He speaks in full, impeccably logical paragraphs, and he punctuates his measured cadences with thoughtful drags on a cigarette.
And Quiggin’s response:
Anyone who could draw this conclusion in the light of the evidence, and act on it as Lindzen has done, is clearly useless as a source of advice on any issue involving the analysis of statistical evidence.
I don’t want to get into a debate here about climate science (although the neighbors will likely oblige if you ask them nicely), nor even about the proper analysis of statistical evidence. Instead, I’d like to consider whether enjoying being a contrarian (or a consensus-supporter, for that matter) is a potential source of bias against which scientists should guard.