“In a world where the price of calculation continues to decrease rapidly, but the price of theorem proving continues to hold steady or increase, elementary economics indicates that we ought to spend a larger and larger fraction of our time on calculation.” John Tukey, as quoted in “Sunset Salvo”, The American Statistician 1986; 40(10): 72-76.
This is a nice checklist of things that you should do when you are creating a literature review. Continue reading
I got an inquiry by email asking if it was okay to cite one of my web pages. Here’s what I said, more or less. Continue reading
This short video clip is an excellent illustration of how the questions leading up to a particular question on a survey can bias the response to that survey. It comes from a British comedy, Yes Prime Minister, that ran in the 1980s. Continue reading
Building a great statistical model does no one any good if it doesn’t pay attention to non-statistical issues. This story talks about a machine learning model to identify which houses in Flint Michagan that were the best candidates for removal of lead pipes. The model worked fairly well, but came up against problems like individual city council members wanting to assure their constituents that enough was being done in their district. I’m not sure what the actual moral of this story is, but it does serve as a warning to be careful when you are modeling data in a contentous area. Continue reading
This video was recommended by my niece, and it caught my eye for a more subtle theme, perhaps. Rachel Ignotofsky is a great believer that illustration makes difficult material more accessible. This supports an idea I’ve had for a while to develop a book of case studies in research ethics using a graphic novel format. Anyway, the video also emphasizes the importance of recognizing barriers of sexism, racism, and classism that many great women scientists have faced and overcome. This video is a fairly easy 15 minutes to listen to. Continue reading