This article from The Economist, " Data from wearable devices are changing disease surveillance and medical research ," has a home in your stats or RM class. It describes how FitBits and Apple Watches can be used to collect baseline medical data for health research. I like it because it is very accessible but still goes into detail about specific research issues related to this kind of data: -How does one operationalize their outcome variable? Pulse, temperature, etc., as proxies for underlying problems. Changes in heart rates have predicted the onset of COVID and the flu.  -Big samples be good! One of the reasons this data works like it does is because it is harvested from a massive number of people using these devices.  -The article gives examples of well-designed experiments that use wearable technology. However, often with massive data collection via tech, the data drives the hypothesis, not the other way around. In our psychology classes, we discuss NHST and the proper w...

 I already knew that Morton Ann Gernsbacher was a genius ( see her excellent, open stats classes that use spreadsheets ). So you can imagine how pleased I was to meet her at APS2022. While her talk and message were great, I am here to share one of her presentation resources: Photofunia. This website creates images that contain your text and words, and I'm pretty amused. I think this could be a low-key way to draw attention to commonly made mistakes and big take-home messages. They work in a Powerpoint but are more attention-grabbing than just using a larger font size or bolding your text.