“It is nowhere near as warm as it’s ‘supposed’ to be,” says climatologist Dr. Patrick Michaels. “The computer models are making systematic, dramatic errors.”
There are 32 different computer models used to predict the climate, all of them run by government entities. And all of those models, except for the Russian model, are predicting far, far too much warming. The Russian model pretty much matches reality.
Why do 31 of the 32 models not work?
Because they are “parameterized” (fudged), says Michaels. “We put in code steps that give us what we think it ‘should’ be.” The models were ‘tuned.’ “We forced the computer models to say, aha! human influence, CO2 and other stuff.”
The models “tell us what we wanted to see,” says Michaels. The models have been tuned “to give an anticipated, acceptable range of results.”
In order to clarify what he is hearing, interviewer Mark Levin paraphrases Michaels: “so you’re telling us that we have a massive bit of public policy that has an enormous effect on society that is built on phony models.”
Michaels nods his head ‘yes.” “It’s build on a house of cards,” says Michaels.
Patrick J. Michaels (born 1950), an American climatologist, was a senior fellow in environmental studies and director of the Center for Study of Science at the Cato Institute until Spring 2019. He holds A.B. and S.M. degrees in biology sciences and plant ecology from the University of Chicago, and holds a PhD in ecological climatology from the University of Wisconsin. He was research professor of environmental sciences at the University of Virginia for 30 years, and is a past president of the American Association of State Climatologists.
A self-described global warming skeptic, Michaels has written a number of books and papers on climate change, including Sound and Fury: The Science and Politics of Global Warming (1992), The Satanic Gases (2000), and Meltdown: The Predictable Distortion of Global Warming by Scientists, Politicians, and the Media (2004). He’s also the co-author of Climate of Extremes: Global Warming Science They Don’t Want You to Know (2009).
Thanks to Alane Powell for this video