1/ As all things data science, stats, machine learning, and programming explode, we're going to face numerous problems at advanced levels that are deeply rooted in middle & high school math curriculum. Some stray observations from the last 12+ years (via CS, math ed, and data) https://twitter.com/bradleyvoytek/status/1326226856480182272

2/ It isn't obvious that variables can vary more than their first assignment

"=" has multiple meanings, especially when embedded in text, and then gets even more meanings/uses in programming languages

3/ Inequalities are *very poorly taught*. Inequalities in science are in effect rituals at a near religious level. In courses, I'd see people select p < .05 as "better than" p = .01. Rationale was (almost always) b/c of the symbol (< is better than =), not the *value*

4/ Some languages are in a better spot to help with these difficulties, and that's where I eventually came around to "<-" over "=" in #rstats: https://twitter.com/derek__beaton/status/1162131286720491520

end/ We need better curriculum at all levels, but there's hope in the data science/programming world with the renewed interested in visual/graphical programming, e.g., tidyblocks: https://twitter.com/gvwilson/status/1290234854555049984