Two prominent climate scientists have taken on the Environmental Protection Agency’s (EPA) new rules to cut CO2 emissions in electricity generation, arguing in testimony that the regulations “will be disastrous for the country, for no scientifically justifiable reason.”

Citing extensive data to support their case, William Happer, professor emeritus in physics at Princeton University, and Richard Lindzen, professor emeritus of atmospheric science at Massachusetts Institute of Technology (MIT), argued that the claims used by the EPA to justify the new regulations are not based on scientific facts but rather political opinions and speculative models that have consistently proven to be wrong. 

“The unscientific method of analysis, relying on consensus, peer review, government opinion, models that do not work, cherry-picking data and omitting voluminous contradictory data, is commonly employed in these studies and by the EPA in the Proposed Rule,” Mr. Happer and Mr. Lindzen stated. “None of the studies provides scientific knowledge, and thus none provides any scientific support for the Proposed Rule.”

“All of the models that predict catastrophic global warming fail the key test of the scientific method: they grossly overpredict the warming versus actual data,” they stated. “The scientific method proves there is no risk that fossil fuels and carbon dioxide will cause catastrophic warming and extreme weather.”

Climate models like the ones that the EPA is using have been consistently wrong for decades in predicting actual outcomes, Mr. Happer told The Epoch Times. He presented the table below to the EPA to illustrate his point.

Modeled climate predictions (average shown by red line) versus actual observations (source: J.R. Christy, Univ. of Alabama; KNMI Climate Explorer)

“That was already an embarrassment in the ‘90s, when I was director of energy research in the U.S. Department of Energy,” he said. “I was funding a lot of this work, and I knew very well then that the models were overpredicting the warming by a huge amount.”

PLEASE CLICK ON THE ABOVE LINK TO READ THE ENTIRE ARTICLE AS IT HAS NUMEROUS CHARTS AND GRAPHS TO BACK UP THEIR DATA