If you weren’t worried before, then take a look at this shocking new climate forecast! No, only kidding. This is the real forecast: Sorry. Can’t help myself. Here are four more “forecasts”. […]
The only two reasons for statistics
This short post is for reference. I will point back to it from time to time. Reason 1: to say something about the past Examples: counting seasonal numbers of wins by the […]
The strange insignificance of statistical significance
Who is more likely to support the death penalty: college undergraduates from a “nationally-ranked Midwestern university with an enrollment of slightly more than 20,000” majoring in social work, or those majoring in […]
The CRU “climategate” proxy code: a primer
I’m just getting into the CRU code: it’s a lot of material and everything I say here about it is preliminary. Some of you will know what I’m going to say about […]
Homogenization of temperature series: Part II
Be sure to see: Part I, Part II, Part III, Part IV, Part V Aside: counterfactuals A counterfactual is statement saying what would be the case if its conditional were true. Like, […]
Homogenization of temperature series: Part V, The real Grand Finale
Be sure to see: Part I, Part II, Part III, Part IV, Part V Much of what we discussed—but not all—is in this picture. Right click and open it in a new […]
Predictive Statistics: GPA Case Study, Part I
Read Part II : Download the Quirk’s article. Predictive statistics differs from classical (frequentist and Bayesian) practices because it focuses on observables and not metaphysical entities. Observables are the data we can […]
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