It seems that the good local weather research supported by media helps themselves on egg dates – watts with it?
From the Daily Caller
Audrey Steb
DCNF Energy Reporter
A 2024 climate change study, which was reinforced by the corporate press, which forecast up to 38 trillion dollars of global climate damage by 2050, reported Washington Post on Wednesday.
The involvement of the incorrect GDP numbers of Uzbekistan by the study distorted its results and doubts about the conclusion that the global GDP could be lower after the post due to climate change around 2100 than otherwise. Numerous prominent media have advertised the study on its release as proof of the imminent economic threat to climate change, but a new analysis and experts who spoke with the position argue that Uzbekistan's “data anomalies” will undermine.
The original study was the second largest paper in the media in 2024, according to the Climate Outlet Carbon letter based in Great Britain.
“The only GDP that will arrive is the GDP of fraudulent, independent climate activists who finally and adequately want to receive their financing through the Trump administration,” the President of the Heartland Institute James Taylor told Daily Caller News Foundation. “The common sense and the actual studies examined by experts show that warmer weather saves life, with almost 20 times more people die from cold than warmth that warmer temperatures and more atmospheric CO2 stimulate a blossom of green throughout the planet, and the crop production rates are absorbed every year with longer growing seasons and more atmospheric CO2.” (Relatives: Trump Admin's new report blows a massive hole in the story of the climate catastrophe of the left climate)
The US government even cited the study with a report by the Congress Office (Congressional Budget Office) in December 2024 (CBO) reporting report in relation to the illustration of the risks of climate change for the American economy.
After Uzbekistan had been removed from the data record, the forecast GDP losses dropped significantly from 62% to 23% to 2100 and from 19% to 6% by 2050, HSIANG said. Hsiang and his two co-authors, doctoral students Tom Bearpark and Dylan Hogan, reported that after they triggered a nation from data acquisition, and observed that Uzbekistan's absence drastically changed according to the post. The authors found that the GDP records of Uzbekistan showed wild wild oscillations, which, with more reliable data from the World Bank, in non -intensive fluctuations, which according to Outlet reflected fewer intensive fluctuations.
“Anyone who works with data has a certain responsibility to check the data and ensure that they are expedient,” said the Global Policy Laboratory Director of Stanford University Solomon Hsiang, who pointed out the mistake. “If you have many data points, the idea that a small country could be so influential is not intuitive.”
The nature editor Karl Ziemelis wrote to the post that his publication checked the study and that “appropriate editorial measures would be taken as soon as the matter was solved”. The original authors of the report informed the outlet that the Uzbekistan data flow was a processing error that was corrected in an updated analysis, although they believe that the report is still high.
“We are grateful and I think it is a large part of the scientific process that you have pointed out to these problems,” Leonie Wenz, professor of environmental economics at the Technical University of Berlin and an author of the first study, told The Post. “But above all, keep the most important conclusions of the paper and there are only minor changes to the estimates.”
The massive GDP loss scala was marked during the Peer review process, in a review in which it was found that “I all explained and rather convincing, but it is only subjective to believe in the results that appear unintelligitiously when damage does not appear perfectly persistent.”
Nature, Wenz, his co -authors Maximilian Kotz and Anders Levermann, Hsiang, Bearpark and Hogan did not respond to the inquiries from the DCNF for a comment.
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