David Evans has provided a succinct explanation of why climate scientists’ theories, ignore some fundamental data. The views that feedbacks amplify the effects of CO2 (see Evans’s diagram below) is due to a highly selective reading of the data in a number of different ways.
Now we need to pull the recent strands together.
On actual temperature history we are getting evermore examples of data manipulation, whether on US temperatures (A Watts), Australian Temperatures (See Jo Nova), or the GISSTEMP global surface temperatures (Steven Goddard).
On past temperature history, we have the famous hockey stick graphs, starting with Mann et al in 1998 and culminating in the recent Gergis et al Australasian temperature reconstruction. All need a combination of one, or a few, very poor data sets that are promoted to prominence by statistical techniques unique to climatologists, and ignoring better quality data sets.
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