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Posted inPhilosophy Statistics

Space’s 10 Mistakes People Make When Arguing Science

Reader Ken pointed us to Space.com's click-me-click-me! article "The 10 Mistakes People Make When Arguing Science". Since everybody loves numbered lists, I'll duplicate their efforts here, using their mistakes. Isn't…
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Posted inStatistics

P-Value Hacking Is Finally Being Noticed

Since I'm on the road, all typos today are free of charge. Some reasonably good news to report. A peer-reviewed paper: "The fickle P value generates irreproducible results" by Lewis…
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Posted inPhilosophy Statistics

Sampling Variability Is A Screwy, Misleading Concept

https://twitter.com/Bigdatanalysis/status/573739862924353536 Because of travel and jet lag, exacerbated by "springing forward", we continue our tour of Summa Contra Gentiles next week. If you can't read the tweet above, it says…
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Posted inStatistics

Response To Trenberth Over “Why Models Run Hot”

Update Be sure to come back on Sunday and see my wrap-up column. A reporter from Nature who could not be brought to understand science was more important than fallacy…
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Posted inStatistics

Temperature Grids, Interpolation, And Over-Certainty

A reader writes: I am a fairly new reader of your blog, coming from WattsUpWithThat and reading with delight and frustration your thoughts on statistics and climate. I have a…
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NEW PAPER: Why Models Run Hot: Results From An Irreducibly Simple Climate Model
Posted inStatistics

NEW PAPER: Why Models Run Hot: Results From An Irreducibly Simple Climate Model

This post is one that has been restored after the hacking. All original comments were lost. Here's our press release. See also the Daily Mail. WHAT WENT WRONG? A major…
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Posted inStatistics

Real Climate Temperature “Trend” Article Gets It Wrong (Like So Many Do)

This post is one that has been restored after the hacking. All original comments were lost. Everything that can go wrong with a time series analysis has gone wrong with…
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Posted inPhilosophy Statistics

Improper Language About Priors

Suppose you decided (almost surely by some ad hoc rule) that the uncertainty in some thing (call it y) is best quantified by a normal distribution with central parameter θ…
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