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 […]
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 […]
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 […]
Statistics’ dirtiest secret
The old saying that “You can prove anything using statistics” isn’t true. It is a lie, and a damned lie, at that. It is an ugly, vicious, scurrilous distortion, undoubtedly promulgated by […]
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 […]
What can we learn about global warming from poor reporting?
From today’s Syndney Morning Herald comes the headline: “Global warming to impact health“. First, by impact the reporter almost certainly means influence, a more accurate, but far less energetic and “actionable”, word. […]
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