If The Data Doesn’t Match The Theory – Change The Data

It doesn’t matter how beautiful your theory is, it doesn’t matter how smart you are. If it doesn’t agree with experiment, it’s wrong.

– Richard P. Feynman

The most complete and accurate temperature data set in the world – by far – is the NOAA United States Historical Climatology Network (USHCN.) It consists of ~1,218 stations spread relatively evenly across the US. NOAA releases graphs like this to the public, which show about 1.5F warming over the past century.

Climate at a Glance | National Centers for Environmental Information (NCEI)

Unfortunately, the graph is fake. The USHCN station data shows that the US has cooled over the past century, and NOAA massively tampers with the data before they create their graphs. The blue line below shows the actual measured (Raw) data.

USHCN Measured USHCN Reported

NOAA alters the temperatures in a spectacular hockey stick of data tampering – and turns cooling into warming.

In order to keep the data tampering philosophically pure, NOAA tampers with the USHCN data precisely in line with their CO2 warming theory.

Most of the recent data tampering is due to simply making up data. If station data is missing in a particular month, NOAA fabricates data for that month. In 1960, about 10% of the data was fabricated, but now about 42% of the data is fabricated.

When people make up 42% of the data, they can get any shaped curve they want. This sort of fraud appears shocking, but is standard operating procedure for government climate scientists.