Pretty important asterisk concerning the privatization of the Japanese rail network: this privatization led to the closure of a lot of rural, unprofitable lines. IMO this would play out similarly for the USPS; it's not hard to remain profitable when you can just cleave off the parts of your public service that are in the red.
I've been on my soapbox for a while that introductory machine learning courses should cover the basics of optimization. Even just basic KKT conditions could add a lot.
I'm a huge fan of Paul's, and his book Measurement is easily the most beautiful introduction to geometry out there.
I appreciate his focus on how to maintain engagement with students who are predisposed to math, but I think it's equally important to consider how to teach students who are deeply uninterested in math but still need a working knowledge to live life. Granted, the current system seems to be failing both kinds of students.
Which is understandable.