What I’m Reading: May 2016

My brother sent me this article about a guy who is using data anomalies to track down Medicare fraud. Interesting use of patterns, data, and humans to go where the government can’t.

Things are getting meta: a new study looks at how much people trust scientists who do science blogging.

I’ve seen a few interesting comments recently on various metrics being influenced by shifting demographics. This one from the Economist covers household income stats, and how they may not always be as straightforward as they appear.

As a math person, I’m supposed to be outraged by this story about a flight that got delayed because a professor was scribbling equations and it freaked his seatmate out. I don’t know though….our TSA tagline is “if you see something, say something”. That’s just asking for false positives people, why are we surprised?

For those in the USA wondering what the heck happened with our primary system this year, I liked this explanation about how hard it is to get a system to reflect the will of the people.

My book of the month is What’s a p-value anyway? 34 Stories to Help You Actually Understand Statistics. This one is definitely going on my list of books to recommend for high school or college students trying to pass a Stats 101 class.