A new peer-reviewed climate change study found that “nearly all” temperature data scientists use to support the theory of global warming have been manipulated.
The study titled “On the Validity of NOAA, NASA and Hadley CRU Global Average Surface Temperature Data and the Validity of EPA’s CO2 Endangerment Finding” looked at how the average surface temperature used in studies was gathered.
These datasets were adjusted by scientists to account for “contamination” that presumably showed data they didn’t like.
The new study compared the adjusted temperatures to historical data and patterns and found that “GAST data sets are not a valid representation of reality.”
The study found that these measurements “nearly always exhibited a steeper warming linear trend over its entire history,” by “systematically removing the previously existing cyclical temperature pattern.”
More via Daily Caller:
In fact, almost all the surface temperature warming adjustments cool past temperatures and warm more current records, increasing the warming trend, according to the study’s authors.
“Nearly all of the warming they are now showing are in the adjustments,” Meteorologist Joe D’Aleo, a study co-author, told The Daily Caller News Foundation in an interview. “Each dataset pushed down the 1940s warming and pushed up the current warming.”
“You would think that when you make adjustments you’d sometimes get warming and sometimes get cooling. That’s almost never happened,” said D’Aleo, who co-authored the study with statistician James Wallace and Cato Institute climate scientist Craig Idso.
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