This might be a weird framing but it's been bugging me for a few days. Many fields have a concept of classical training -- this is most common in music but applies in the humanities and many other areas. For example I do a lot of CAD work for my job, but I received what I would consider a "classical education" in design...I learned to draft by hand and physically model before I was ever allowed to work digitally. I got a lot of value out of this approach and it still informs the way I work today.

A lot of people view computers and technology as modern and almost anti-classical, but as the tech industry matures and the internet moves from something shiny and new to something foundational to our society, what will the new classicism look like?

Thanks for reading my question.

What was your experience like? What do you remember? Any favourite moments, least favourite, most memorable?

Note: School is different in every country! Please respect the international audience: if you talk about a type of school or year, include the age range. Eg “Sophomore (age 15-16)”.

I would like to find a good Statistics course to do for myself, and also to recommend to others, down the road ... one that specifically focuses on risk, and the discrepancy between actual statistical probability vs humans' intuitive sense of risk.

I recall a quote, which The Interwebs informs me right now, came from Albert A. Bartlett ... "The Greatest Shortcoming of the Human Race Is Man’s Inability To Understand the Exponential Function".

Alternately, Mark Twain popularized (but did not originate) the saying "There are lies, damned lies, and statistics".

That's the kind of course I'm looking for, that focuses on questions like how much should we actually worry about supervolcanoes, asteroid strikes, Covid 2.0, WWIII, Trump getting re-elected, etc.

There are two parts to this. One, people often (naturally, human nature, how our brains are wired to handle Risk) obsess about a short list of risks in life that are overblown, or appear to be more of a concern than they actually are.

The other part is, some things have a very small risk of actually happening, but when considered in conjunction with the potential consequences (asteroid strikes, WWIII, global pandemic), are still worthy of aggressive efforts to prevent ... and people often focus on the first element (statistically unlikely) and dismiss or overlook the second piece (devastating consequences).

Anyway, stuff like that ... ideally an actual, hands-on MOOC-type Statistics course, but even a good youtube video or blog article would suffice.

As usual, thanks in advance.