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EPA Returns To "Secret Science" That Can't Be Questioned To Push Phony Green Fraud Scams

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EPA’s totalitarian assault on America – Watts Up With That?

Biden-Harris Environmental Protection Agency Administrator Michael Regan is clearly on a mission. He has "bold aspirations, and a long to-do list," says The Washington Post. But to succeed, the Postacknowledges, he must "help the EPA get its groove back." As Reagan put it, "We've got a lot of work to do, starting with rebuilding staff morale and getting all our staff back to feeling as if they matter, theirvoices matter."

Regan says his job is "to restore the scientific integrity and the utilization of data, of facts, as we move forward, and make some very important decisions." His second goal is to increase "cooperation" between the EPA and its "subordinate" state environmental agencies. EPA will dictate; states will fall in line.

 An Obama-appointed federal judge just restored the EPA's use of "secret science" in formulating regulations that businesses and industries must follow just because the EPA says so – with "scientific evidence" that cannot be cross-examined. U.S. District Judge Brian Morris (in Great Falls, Montana) took just hours before vacating the Trump EPA rule that would have ended this Star Chamber style rule.

For decades, the EPA relied on unreviewable studies to impose draconian restrictions on businesses and industries, and thus on the U.S. economy. Trump wanted to bring true transparency to the process. Opponents claimed the Trump secret science" rule would block the use of critical public health studies kept secret supposedly to protect the identities of trial participants – which of course was not the case.

As Trump EPA Administrator Andrew Wheeler explained, the "secret science" rule in no way blocked previous "secret" studies; rather, it created tiers in which preference is given to studies with public data. Peer reviewers looking at a study's raw data did not need to know any of the subject's names, so no patient confidentiality was at risk. Moreover, in most cases, a review of basic methods, statistics and results is sufficient to determine if they actually support the study's conclusion.

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