We’re probably getting tired of this topic (I am), but many people requested that we look at the same data but take into account the influence of Congress. This is the same […]
The “Statisticians: ‘Global Cooling’ a Myth” story
“J’accuse! A statistician may prove anything with his nefarious methods. He may even say a negative number is positive! You cannot trust anything he says.” Sigh. Unfortunately, this oft-hurled charge is all […]
Homogenization of temperature series: Part III
Be sure to see: Part I, Part II, Part III, Part IV, Part V We still have work to do. This is not simple stuff, and if we try and opt for […]
Hurricanes have not increased: misuse of running means
Most statistics purporting to show that there has been an increase in hurricanes do not use the best statistical methods. I want to highlight one particular method that is often misused, and […]
How to look at the RSS satellite-derived temperature data
It’s already well known that the Remote Sensing Systems satellite-derived temperature data has released the January figures: the finding is that it’s colder this January than it has been for some time. […]
Do not calculate correlations after smoothing data
This subject comes up so often and in so many places, and so many people ask me about it, that I thought a short explanation would be appropriate. You may also search […]
You cannot measure a mean
I often say—it is even the main theme of this blog—that people are too certain. This is especially true when people report results from classical statistics, or use classical methods when implementing […]
CO2 and Temperature: which predicts which?
Parts of this analysis were suggested by Allan MacRae, who kindly offered comments on the exposition of this article which greatly improved its readability. The article is incomplete, but I wanted to […]
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