Is the media version of “climate science” rabidly false?
THE TRUTH REVEALED BY SOMEONE WHO KNOWS WHAT HE IS TALKING ABOUT
We highly recommend this interview if you are looking for a hysteria-free, rational examination of climate science and a level-headed explanation of our actual situation (as opposed to the one foisted on you by a rabid media and dim politicians) by someone who knows what he is talking about.
Hot or Not: Steven Koonin Questions Conventional Climate Science and Methodology| Uncommon Knowledge
Steven Koonin is one of America’s most distinguished scientists, with decades of experience, including a stint as undersecretary of science at the Department of Energy in the Obama administration.
In this wide-ranging discussion, based in part on his 2021 book, Unsettled: What Climate Science Tells Us, What It Doesn’t, and Why It Matters, Koonin gives a more refined look at the science behind the climate issue than the media typically offers, guiding us through the evidence and its implications.
As Koonin explains in this interview, he was “shaken by the realization that climate science was far less mature than I had supposed” and that the “overwhelming evidence” of catastrophic implications of anthropogenic global warming wasn’t so overwhelming after all. For further information: https://www.hoover.org/publications/u…
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Unsettled: Climate and Science | Dr. Steven Koonin | EP 323
Dr Jordan B Peterson and Dr. Steven Koonin discuss the IPCC reports – the globally sourced research on climate change – and how policymakers take summaries of summaries from these to justify their green agenda, despite what the reports actually suggest. They also discuss starvation, obesity, green economics, and nuclear futures
The Challenges and Realities of Climate Modeling with Steven Koonin | Policy Stories
Computer models of climate change are complicated and struggle to show real-world processes correctly, making their future predictions uncertain. Looking at past data, climate models often don’t accurately simulate temperature changes, making their future predictions less trustworthy. Because of these problems, the models should be viewed skeptically to project climate change risks and impacts.