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William M. Briggs

Statistician to the Stars!

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About Briggs
Briggs is an internationally reviled thoughtcriminal, listed as One Of The Top 7 Dangerous Minds by the Hague.
Posted inStatistics

Question About Non-Normal Distributions

Thanks to everybody who sent in links, story tips, and suggestions. Because of my recent travel and pressures of work, I'm (again) way behind in answering these. I do appreciate…
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Posted inCulture Statistics

More Proof Music Is Growing Worse

New proof (which wasn't really need) that popular music is, as has long been claimed, been growing worse has arrived thanks to the diligent work of Joan Serrà and his…
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Posted inStatistics

Müller lite: Why Every Scientist Needs a Classical Training—Christopher Monckton of Brenchley

His Lordship sent this around to all the usual suspects asking that it be given a wide audience. I'm traveling today. About 18 months ago, as soon as I heard…
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Posted inStatistics

Richard Muller’s Political Move—BEST is Best? Sophisticated Statistics!

Our Berkeley Earth approach used sophisticated statistical methods developed largely by our lead scientist, Robert Rohde, which allowed us to determine earth land temperature much further back in time. Ah,…
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Posted inStatistics

Doctors For Disaster Preparedness Talk

Here's the PDF of my talk DDP 30th Annual Meeting. "Statistical Follies and Epidemiology." They picked the title. Have fun!
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Posted inFun

Google’s Eric Schmidt & Chicago’s Rahm Emanuel Blaze Path Of Ugliness

This is a picture of Google's Eric Schmidt & Chicago's Rahm "Crisis" Emanuel from today's Wall Street Journal story Google Move Buoys Chicago Tech Hub. Chicago! The city of the…
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Posted inCulture

The Chicago Way With Chik-Fil-A

There is a sense in which we all argue that is statistical. For instance, if we say of a group that it sports an "arrogant attitude" we do not mean…
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Posted inPhilosophy Statistics

True Value Of A Parameter

Jelle de Jong writes in to ask: Working as a quant analyst in finance I recently got interested in the Briggsian/Jaynesian/Bayesian interpretation of probability but am still struggling a bit…
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