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Posted inStatistics

Epidemiology, Causality, And P-Values: Part I

A standard epidemiological study goes like this: people who have been "exposed" to some thing, say, cell phone radiation, are examined to discover whether or not they have some malady.…
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Posted inStatistics

Epidemiology, Causality, And P-Values: Part II

Be sure to read yesterday's post first. One of the screwy consequences of classical statistics is that my odd sample (mixing babies and the patients from the brain cancer ward)…
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Posted inStatistics

Newcomb’s Paradox And Probability

This article was suggested by reader JH who saw it discussed at Massimo Pigliucci's site. When he was at the Lawrence Livermore Laboratory, William Newcomb devised the following puzzle, which…
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Posted inBook review Statistics

The Great Global Warming Blunder by Roy W. Spencer

The Great Global Warming Blunder: How Mother Nature Fooled the World's Top Climate Scientists by Roy W. Spencer This book was given to me for review by the publisher. Clouds…
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Posted inPhilosophy Statistics

Lesson Five or Six: Abnormality

Say! What happened to lessons three through four or five? Who knows. This morning, I'm dreadfully rushed, so just a sketch. I do not expect anybody to be convinced this…
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Posted inStatistics

Lesson Zero: Lecturing, Churchill, and End of the World

Teaching as Performance The class is two weeks of solid statistics. Eight hours a day weeks; save the weekends. I don't know about other instructors, but my technique is to…
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Posted inPhilosophy Statistics

Lesson Somethingorother: Against the P-value

I've lost count of the lesson numbers. The definition of a p-value, here phrased in the incorrectly named "test of difference in means", is: Given the truth of a probability…
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Posted inStatistics

What Do You Really Want? Modern Statistics. Lesson n+2

Only a couple of days left, everybody. Then back to more interesting subjects. Incidentally: when is the best time to contact a statistician? Before you begin to collect data. You…
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