Lies, Damned Lies, and Global Warming Statistics

This isn't a secret.  Every climate study program will tell you they do this:

The National Oceanic and Atmospheric Administration may have a boring name, but it has a very important job: It measures U.S. temperatures. Unfortunately, it seems to be a captive of the global warming religion. Its data are fraudulent.
 
What do we mean by fraudulent? How about this: NOAA has made repeated "adjustments" to its data, for the presumed scientific reason of making the data sets more accurate.

Nothing wrong with that. Except, all their changes point to one thing — lowering previously measured temperatures to show cooler weather in the past, and raising more recent temperatures to show warming in the recent present.

This creates a data illusion of ever-rising temperatures to match the increase in CO2 in the Earth's atmosphere since the mid-1800s, which global warming advocates say is a cause-and-effect relationship. The more CO2, the more warming.

But the actual measured temperature record shows something different: There have been hot years and hot decades since the turn of the last century, and colder years and colder decades. But the overall measured temperature shows no clear trend over the last century, at least not one that suggests runaway warming.

That is, until the NOAA's statisticians "adjust" the data. Using complex statistical models, they change the data to reflect not reality, but their underlying theories of global warming. That's clear from a simple fact of statistics: Data generate random errors, which cancel out over time. So by averaging data, the errors mostly disappear.

That's not what NOAA does.

According to the NOAA, the errors aren't random. They're systematic. As we noted, all of their temperature adjustments lean cooler in the distant past, and warmer in the more recent past. But they're very fuzzy about why this should be.