Kaiser Fung announces a new educational venture he’s created, a bootcamp (12-week full-time in-person program with a curriculum) of short courses with a goal of getting people their first job in an analytics role for a business unit (not engineering or software development, so he is not competing directly with MS Data Science or data […]

**Teaching**category.

## Hey—here are some tips on communicating data and statistics!

This fall I’ll be again teaching the course, Communicating Data and Statistics. Here’s the rough course plan. I’ll tinker with it between now and September but this is the basic idea. (The course listing is here, but that online description is out of date; the course plan linked above is more accurate.) Here are the […]

## Taking Data Journalism Seriously

This is a bit of a followup to our recent review of “Everybody Lies.” While writing the review I searched the blog for mentions of Seth Stephens-Davidowitz, and I came across this post from last year, concerning a claim made by author J. D. Vance that “the middle part of America is more religious than […]

## Should computer programming be a prerequisite for learning statistics?

[cat picture] This came up in a recent discussion thread, I can’t remember exactly where. A commenter pointed out, correctly, that you shouldn’t require computer programming as a prerequisite for a statistics course: there’s lots in statistics that can be learned without knowing how to program. Sure, if you can program you can do a […]

## Stan without frontiers, Bayes without tears

[cat picture] This recent comment thread reminds me of a question that comes up from time to time, which is how to teach Bayesian statistics to students who aren’t comfortable with calculus. For continuous models, probabilities are integrals. And in just about every example except the one at 47:16 of this video, there are multiple […]

## Teaching Statistics: A Bag of Tricks (second edition)

Hey! Deb Nolan and I finished the second edition of our book, Teaching Statistics: A Bag of Tricks. You can pre-order it here. I love love love this book. As William Goldman would say, it’s the “good parts version”: all the fun stuff without the standard boring examples (counting colors of M&M’s, etc.). Great stuff […]

## Mmore from Ppnas

Kevin Lewis asks for my take on two new papers: Study 1: Honesty plays a key role in social and economic interactions and is crucial for societal functioning. However, breaches of honesty are pervasive and cause significant societal and economic problems that can affect entire nations. Despite its importance, remarkably little is known about the […]

## My interview on EconTalk, and some other podcasts and videos

[cat picture] Russ Roberts recently interviewed me for his EconTalk podcast. We talked about social science and the garden of forking paths. Roberts was also going to talk with me about Case and Deaton, but we ran out of time. Whenever I announce a talk, people ask in comments if it will be streamed or […]

## Some natural solutions to the p-value communication problem—and why they won’t work

Blake McShane and David Gal recently wrote two articles (“Blinding us to the obvious? The effect of statistical training on the evaluation of evidence” and “Statistical significance and the dichotomization of evidence”) on the misunderstandings of p-values that are common even among supposed experts in statistics and applied social research. The key misconception has nothing […]

## Ensemble Methods are Doomed to Fail in High Dimensions

Ensemble methods [cat picture] By ensemble methods, I (Bob, not Andrew) mean approaches that scatter points in parameter space and then make moves by inteprolating or extrapolating among subsets of them. Two prominent examples are: Ter Braak’s differential evolution Goodman and Weare’s walkers There are extensions and computer implementations of these algorithms. For example, […]

## How to interpret confidence intervals?

Jason Yamada-Hanff writes: I’m a Neuroscience PhD reforming my statistics education. I am a little confused about how you treat confidence intervals in the book and was hoping you could clear things up for me. Through your blog, I found Richard Morey’s paper (and further readings) about confidence interval interpretations. If I understand correctly, the […]

## Improv

I like this new thing of lecturing improv. I feel that it helps the audience stay focused, as they have to keep the structure of the talk in their heads while it’s happening. Also it enforces more logic in my own presentation, as I’m continually looping back to remind myself and the audience how each […]

## He wants to know what book to read to learn statistics

Tim Gilmour writes: I’m an early 40s guy in Los Angeles, and I’m sort of sending myself back to school, specifically in statistics — not taking classes, just working through things on my own. Though I haven’t really used math much since undergrad, a number of my personal interests (primarily epistemology) would be much better […]

## Long Shot

Frank Harrell doesn’t like p-values: In my [Frank’s] opinion, null hypothesis testing and p-values have done significant harm to science. The purpose of this note is to catalog the many problems caused by p-values. As readers post new problems in their comments, more will be incorporated into the list, so this is a work in […]

## We fiddle while Rome burns: p-value edition

Raghu Parthasarathy presents a wonderfully clear example of disastrous p-value-based reasoning that he saw in a conference presentation. Here’s Raghu: Consider, for example, some tumorous cells that we can treat with drugs 1 and 2, either alone or in combination. We can make measurements of growth under our various drug treatment conditions. Suppose our measurements […]

## Two unrelated topics in one post: (1) Teaching useful algebra classes, and (2) doing more careful psychological measurements

Kevin Lewis and Paul Alper send me so much material, I think they need their own blogs. In the meantime, I keep posting the stuff they send me, as part of my desperate effort to empty my inbox. 1. From Lewis: “Should Students Assessed as Needing Remedial Mathematics Take College-Level Quantitative Courses Instead? A Randomized […]