When I& #39;m doing talks about data, particularly averages, I like to use some extreme examples - like taking the average height of Muggsy Bogues and Manute Bol (6& #39;5", google it), the average height of an NBA player (6& #39;7") or wild density metrics (everyone in US moving to Texas) 1/4

the Texas example is a useful reference point (not a policy of mine!) when I& #39;m talking about & #39;lived density& #39;, and the NBA height data serves multiple purposes - including discussions of veracity and & #39;dodgy data& #39; (it& #39;s often inflated) 2/4

then you can get into extreme small area extrapolations - the famous case being Kowloon Walled City of course (this is a very useful & #39;lived density& #39; metric in many ways 3/4

but the real moral of this story is that the NBA now requires player heights to be listed & #39;without shoes& #39; (since 2019) and lots of players have & #39;shrunk& #39; (and some have & #39;grown& #39; - e.g. Kevin Durant), so my NBA height is no longer 6& #39;7.5" 4/4 https://www.nytimes.com/2019/09/26/sports/basketball/nba-height-age.html">https://www.nytimes.com/2019/09/2...

actually, the Kowloon example really needs a visual reference to highlight the amazing density in such a small space, so I added a couple of scale lines in metres and feet