Editor's note: This piece was co-authored by Lawrence Kogan.
Can you imagine telling the IRS you don’t need to complete all their forms or provide records to back up your claim for a tax refund? Or saying your company’s assurances that its medical products are safe and effective should satisfy the FDA? Especially if some of your data don’t actually support your claims – or you “can’t find” key data, research and other records, because your hard drive conveniently crashed? But, you tell them, people you paid to review your information said it’s accurate, so there’s no problem.
Do you suppose the government would accept your assurance that there’s “not a smidgen” of corruption, error or doubt – perhaps because 97 percent of your close colleagues agree with you? Or that your actions affect only a small amount of tax money, or a small number of customers – so the agencies shouldn’t worry?
If you were the Environmental Protection Agency, White House-operated US Global Change Research Program and their participating agencies (NOAA, NASA, NSF, etc.), you’d get away with all of that.
Using billions of our tax dollars, these government entities fund the research they use, select research that supports their regulatory agenda (while ignoring studies that do not), and handpick the “independent” experts who peer-review the research. As a recent analysis reveals, the agencies also give “significant financial support” to United Nations and other organizations that prepare computer models and other assessments. They then use the results to justify regulations that will cost countless billions of dollars and affect the lives, livelihoods, liberties, living standards, health, welfare and life spans of every American.
EPA utilized this clever maneuver to determine that carbon dioxide and other greenhouse gases “endanger” public health and welfare. It then devised expensive, punitive regulations to control emissions of those gases from vehicles, electrical generating plants and countless other sources.
At the very least, you would expect that this supposedly “scientific” review process – and the data and studies involved in it – should be subject to rigorous, least-discretionary standards designed to ensure their quality, integrity, credibility and reliability, as well as truly independent expert review. Indeed they are.
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