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...
Time to make this video of Dr. Fauci testifying before Congress Not Awful and Boring Cannon. Because it is beautiful to behold.
Here, Dr. Fauci drops truth bombs at a congressional hearing about COVID-19 research. In it, he critiques a hydroxychloroquine research study for not having a control group, having confounds, no randomization, and he talks smack about peer review.
And the most important thing? He states that he would change his mind about hydroxychloroquine if compelling data from a well-designed study indicated that he should do so. Because science changes when the evidence changes.