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Posted inPhilosophy Statistics

What That Spurious Correlation Website Tells Us About Statistics

Many (thanks!) readers sent links to Tyler Vigen's Spurious Correlations, whose motto is "Discover a new correlation - an interesting spurious correlation each day!" My favorite is tying the yearly…
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Posted inPhilosophy Statistics

Frequentists Are Closet Bayesians: Confidence Interval Edition

Actually, all frequentists and Bayesians are logical probabilists, but if I put that in the title, few would believe it. A man might call himself an Anti-Gravitational Theorist, a science…
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Posted inStatistics

Time Series And Causality: Global Warming Example

Temperature causes Here is an atmospheric monthly average temperature series: T = (61, 69, 69, 70, 72, 65, 63) (all F). What caused the temperature to take the value T1…
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Posted inPhilosophy Statistics

Preface: The Philosophy of Probability and Statistics, An Introduction

%This is the Preface of The Philosophy of Probability and Statistics, An Introduction coming before Preface and before the chapters on Truth and Logic. Note the New & Improved title!…
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Posted inStatistics

The Philosophy of Probability and Statistics (Book. Sort Of.)

I have decided to let you, dear reader, help me finish my book, which I have tentatively entitled The Philosophy of Probability and Statistics. This is about the seventeenth version…
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Posted inCulture Statistics

HANDY Not So Dandy: NASA-Funded Mathematical Model Of Doom

Mathematically minded Remember back in the 1990s when otherwise intelligent people would look to the scientific literature and say, "Those guys must be right. They used a computer model." A…
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Posted inStatistics

How The IPCC Buried Evidence Showing Good News About Global Warming

Here is the Executive Summary from our friends Marcel Crok and Nicholas Lewis in their report A Sensitive Matter which is available at the Global Warming Policy Foundation (preprinted by…
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Posted inPhilosophy Statistics

What Statistics Really Is: Part Last

Read Part I, Part Paradox, Part II Recapitulation: we have Pr(p|qm) where p is a proposition of interest, q the evidence we have compiled in the form of observations and…
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