GISS publishes a temperature dataset and calls it good. Then the next year, they publish the same dataset with alterations and call it good. They repeat these alterations with progressively warmer temperatures.
Why should we believe anything they publish when they just change it the next year?
GISS has lost all credibility.
By Paul Homewood
The chart below eloquently illustrates the effect that GISS tampering has had on temperatures in the last five years.
It starts by showing the annual temperature anomalies for 1998 and 2010, as they were reported at the end of 2010, i.e. 0.56C and 0.63C respectively. Progressively as each year has gone by since then, the anomalies for 1998 and 2010 have been subtly increased, until currently they are shown as 0.63C and 0.71C.
Anomalies as published by GISS at the end of 2010 through 2014, and at June 2015
The anomalies are set against a baseline of 1951-80, which means that the increases either mean that the historical temperatures for 1951-80 have been reduced or recent ones increased.
Remember this when people deny that the net effect of adjustments always seems to go in the same direction.
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