US Energy Department Misrepresents Climate Science in New Report
UNITED STATES, JUL 30 – The report challenges mainstream climate science, arguing economic harm from climate change is overstated and mitigation efforts may cause greater harm, according to the U.S. Department of Energy.
- On July 29, a 150-page climate report was published by the U.S. Department of Energy, presenting the Trump administration's justification for overturning a key scientific determination.
- The report, produced by a Climate Working Group of five contrarians, was criticized for misrepresenting science and cherry-picking data to downplay human-caused climate change.
- Scientists including Benjamin Santer and James Rae said the report misused their research, containing flawed analysis, inaccurate citations, and ignoring key climate impacts.
- Department officials opened a 30-day public comment period and stated they look forward to substantive engagement after its conclusion, while critics called the report deceptive and antiscientific.
- The report's release signifies ongoing efforts by the administration to undermine climate science and regulation, likely fueling legal disputes and complicating policy debates.
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Judith Curry’s Take: New Climate Assessment Report from US DOE
he Michael Mann wing of the climate debate will hate this Report because: the CWG authors are reputable scientists outside of their “tribe,” the Report demonstrates that Mann et al. are losing control of the climate narrative in the U.S., and because Trump Derangement Syndrome. There is a preview from a July 8 NYT article that caught a hint of the DOE activity
Climate Scientists Look to Fight Back Against DOE’s ‘Antiscientific,’ ‘Deceptive’ Climate Report - Inside Climate News
Climate scientist Michael Mann called the report “a deeply misleading antiscientific narrative, built on deceptive arguments, misrepresented datasets, and distortion of actual scientific understanding.”
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Total News Sources11
Leaning Left3Leaning Right1Center2Last UpdatedBias Distribution50% Left
Bias Distribution
- 50% of the sources lean Left
50% Left
L 50%
C 33%
R 17%
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