Its a sad that you got mod-points for your ad hominem drivel.
Christy and Spencer have stated repeatedly in the scientific literature that they their analysis of radiosonde data agrees CLOSELY WITH THOSE OF OTHER SCIENTISTS
This is a red herring. UAH and RSS agree very closely, so what? That is not the issue raised by any of the four comments I linked to. There is no reason to doubt the UAH/RSS temperature series.
Christy is one of the authors of NOAA's Climate Change Science Program report that clearly states that global warming is real and man-made. Yet, he is more than happy to take money from the ExxonMobil funded Heartland institute and say global warming doesn't exist
His comment submission to the EPA particularly discusses how the CCSP report was politicized--that its conclusions were not supported by the available science.
McIntyre cann't even use someone elses data and programs correctly. He tried to replicate Mann's hockey stick, but made so many mistakes that the National Research Council had to publish it's own analysis that demonstrated McIntyres errors and reaffirmed Mann's work. ten other independent groups have been able to duplicate Mann's work and show that Mann was too conservative in his findings.
Although the obscurity of the MBH methodology (as applied) lead to some inconsistencies, McIntyre did not fail to use "someone elses programs and data correctly." Rather Mann failed to document and describe his scientific procedure in a thorough and appropriate fashion.
The NRCs work was subsequently reviewed by congressional committee and an independent statistician which led to the 'Wegman report'. The latter analysis supersedes the NRC and validates McIntyre's work and discredits the line of MBH papers.
I've personally looked at Mann's method and McIntyre's criticisms. Coming from a machine-learning background, Mann's methodology is clearly prone to 'overfit' and data-mining. To wit, the simple explanation is that he used 100 years (points) of calibration against ~120 time-series. Now any arbitrary linear weighting of those time-series is likely to produce a flat, trendless signal. During the calibration period--which uses 20th century temperature data that is basically trendless until 1980 followed by an increase in temperature, he fitted the time-series in linear combination to reproduce this curve (minimize rms error). This is basically just a question of having adequate free-variables to adjust the data to fit, but outside of the calibration interval the weightings are essentially arbitrary.
Thus his result: several hundred years of trendless temperature followed a curve that looks like the 20th century. From this he concluded that the 20th century temperature change was unprecedented. This conclusion using this method is patently fatuous.