The thing about my way of teaching stats is that my cool, novel examples get old really fast. Like, pop culture is on a thirty-day cycle. Anyway, YEARS ago, 2014 to be exact, I blogged about illustrating bimodal data distributions using baby name data from the Social Security Administration. Specifically, when an older name comes back into vogue, it has a bimodal distribution when you plot time on the X axis. I stand by this example. However, all of the data illustrations come from 2014. When our traditionally aged college students were 6 or 7. Which makes this example feel a little stale. However, here is some data, courtesy of Redditor fevaah , showing old names that are back in vogue through 2025 ! And Eleanor, Violet, Nora, and Hazel are here, illustrating bimodal distributions for a new generation. If you used my old baby-name data, this is a quick, easy refresh for your lectures (or a fun new addition if you didn't). If this idea was help...
You know what, I've been doing this blog for YEARS and I don't have a single example of moderation. Until now. This CNN story summarizes brand new research findings that indicate that alcohol and/or tobacco use mediate the relationship between drinking really hot tea and developing esophageal cancer. So, the really hot tea-cancer relationship does not exist in the absence of smoking and/or alcohol consumption, but it is there if you do indulge in either smoking or alcohol consumption. And writing this post reminded me of this Arrested Development moment: Aside: -This article could also be a good example of the need for cross cultural research: Americans don't love tea as much as other parts of the world do. And, super hot tea (145 degrees +) is very popular outside of the US and Europe. The present research was conducted in China.