Nothing in random in any mystical causative sense. Many things are unpredictable. And, indeed, unpredictable is what people mean when they say random. That, or unknown cause. I was reminded of this […]
Somebody Might Get Hurt!
For the closing days of summer, I am posting every chapter of the first edition of Everything You Believe Is Wrong. My enemies ravaged the first edition, inserting typos galore while I […]
How Naughty Researchers Learn To Imply Cause, Though Unproved, Has Been Discovered
Reading daily doses of WMBriggs.com linked to increases in manliness. Forwarding posts from WMBriggs.com associated with general all-around magnificence. Supporting or donating to WMBriggs.com increases world benevolence levels. Now these are all […]
The Difference In Means & Why P-Values Should Not Be Used — Excerpt From The Lake Michigan Dialogues
“Say, Briggs. Since you’re Statistician to the Stars!, explain to me how I can tell if two means are different in a simple way that even I can understand.” You got two […]
More Proof Hypothesis Testing Is Wrong & Why The Predictive Method Is The Only Sane Way To Do Statistics
Here it is, friends, the one complete universal simple function, the only function you will ever need to fit any—I said any—dataset x. And all it takes is one—I said one—parameter! . […]
What’s The Difference Between Explanation & Prediction?
Our main goal is to learn if or how a theory can be falsified. Sound easy? It isn’t. In order to get there, we first need to grasp what is meant by […]
Quick Post Today: New Zealand Vax Data Analysis In Progress: Your Ideas?
I’ve finished an analysis of the New Zealand vax data. But since tempers are hot on this, and the subject is important, I want to be sure I haven’t missed something glaringly […]
On Cause In Probability Models
Note This post originally ran 11 June 2019 under the title “When Cause Is Not A Cause — Another Anti-P-Value Argument”. The post itself is extracted and modified from this set of […]
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