Posted inPhilosophy
Quantum Mechanics & Free Will: Guest Post by Bob Kurland
This post originally appeared in longer form at Bob's place. There's a lot of meat here; I recommend biting it off in small chunks. "Of course I believe in free…
Posted inStatistics
Twenty Tips For Interpreting Scientific Claims
Title of today's post is taken from article of the same name in Nature by William Sutherland, David Spiegelhalter, Mark Burgman. Several readers asked me to comment. I'll assume you've…
Posted inStatistics
Scientists Claim Homosexual Men Have Different Faces
In the journal that brought you "Is a Woman's Preference for Chest Hair in Men Influenced by Parasite Threat?"1, "Accurate Identification of a Preference for Insertive Versus Receptive Intercourse from…
Posted inPhilosophy Statistics
Everything Wrong With P-Values Under One Roof
Update 8 January 2019. This post has been superseded! There is an official paper of this material, greatly expanded and vetted. SEE THIS NEW POST. THE NEW PAPER: Here is…
Posted inCulture Statistics
Abortion Safety: Doctors V. Nurses & Physician Assistants & Midwives—Part II
Update 4 Too late. 10 October 2013. Update 4 Moved this to top because the bill allowing non-doctors to perform abortions is on Gov. Brown's desk. He'll likely sign, but…
Posted inStatistics
Was The UEFA Champions League Draw Rigged?—Bayesian Analysis by Henk Tijms
Henk Tijms, emeritus professor at the Vrije University in Amsterdam, is author of Understanding Probability (excerpt; Amazon at this writing has it for only $31.29, a steal for textbooks). Football…
Posted inPhilosophy Statistics
Bayes Always Works: An Answer To Senn; Part V
Read Part IV. We're almost done. Only one more after this. There are examples without number of the proper use of Bayes's Theorem: the probability you have cancer given a…
Posted inPhilosophy Statistics
Subjective Versus Objective Bayes (Versus Frequentism): Part III
Following Part II, here are some examples to show the differences between objectivist, subjectivist, and frequentist probabilities derived from fixed premises and set conclusions. Example 1 Not all probability is…