Roughly knowing how many times each tag has been used would provide users actionable information if they would like to search or filter by tags.

It might improve UX when applying tags, but might have undesirable side effects in user behavior.

I can think of three places this might be implemented, and I don't know which, if any, we want:

When filtering topics by tags:

• informs users how large or small their scope is
• this view should probably be kept somewhat up to date

When looking at a topic's tags:

• informs users where to start searching/filtering
• passively builds a frame of reference for how tags are used?
• this view could be allowed to become outdated and stale without issue

When applying tags

• a more common tag might be less accurate, but it might be more helpful?
• in the auto fill issue weight by frequency was proposed, which is somewhat similar but more opaque
• this should probably use pretty recent counts as well

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.