Pipirr
yes I know the address: For now is
http://rankexploits.com/musings/200...-tests-very-low-confidence-2ccentury-correct/
I have some problems with his metodology, specifically that she should not deal with the average of the models and that she has to use a higher CO2 rising estimate in her runs, but I think she will correct those flaws later this year.
Here we have the preliminar results
Results based AR(1)+White
The results for this analysis are summarized in the table below.
Hypothesis Test Results Based on AR(1)+White Noise Model.
Jan 2001-Aug. 2008 Observations.
p (m < m observed) Observed Trend (m) “Is the 2C/century consistent with data?”
HadCrut3 2.49% -1.03 C/Century Inconsistent: 2 C/century Falsified
GISS 4.18% -0.24 C/Century Very Low Confidence.
NOAA 3.45% -0.12 C/Century Very Low Confidence Average of 3 2.55% -0.59 C/Century Very Low Confidence Terms: I have translated ‘p’ values for the hypothesis test into one of five standard terms. Four are taken from the IPCC usages.

I add the term “falsify” if the result of a particular analysis indicates we should reject it at p=95%, which corresponds to a diagnosis that a hypothesis has a 1 in 20 chance of being true. As you can see, if we use IPCC language, based on this statistical model we would conclude that we have “very low confidence” that the current trends are consistent with 2C/century + “weather noise”. However, we would not reject 2C/century at the 95% confidence intervals based on GISS, NOAA or the average of the three data sets. HadCrut3 is rejected at a 95% confidence level, i.e. this test says 2C/century is to be treated as false– or falsified.