The "corporate media" missed this one, too

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Posted by Ed Gooding (VA) on September 10, 2023 at 05:11:44 [URL] [DELETE] :

In Reply to: Re: Real Scientists are Waking Up posted by Dean on September 09, 2023 at 22:03:25:

Princeton, MIT Scientists Say EPA Climate Regulations Based on a ‘Hoax’

Physicist, meteorologist testify that the climate agenda is ‘disastrous’ for U.S.

Two prominent climate scientists have taken on new rules from the Environmental Protection Agency (EPA) on cutting carbon dioxide (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 (pdf) 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 aren’t 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 wrote. “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. The scientific method proves there is no risk that fossil fuels and carbon dioxide will cause catastrophic warming and extreme weather.”

Climate models such as the ones that the EPA is using have been consistently wrong for decades in predicting actual outcomes, Mr. Happer told The Epoch Times. To illustrate his point, he presented the EPA with a table showing the difference between those models’ predictions and the observed data.


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