Inevitably in climate science, when data conflicts with models, a small coterie of scientists can be counted upon to modify the data. Thus, Santer, et al (2008), argue that stretching uncertainties in observations and models might marginally eliminate the inconsistency. That the data should always need correcting to agree with models is totally implausible and indicative of a certain corruption within the climate science community.
and he doesn’t pussyfoot around about motivation, either, whacking one of my favorite villians:
The sale of indulgences is already in full swing with organizations selling offsets to one’s carbon footprint while sometimes acknowledging that the offsets are irrelevant. The possibilities for corruption are immense. Archer Daniels Midland (America’s largest agribusiness) has successfully lobbied for ethanol requirements for gasoline, and the resulting demand for ethanol may already be contributing to large increases in corn prices and associated hardship in the developing world (not to mention poorer car performance).