One thing missing but important to understand is the energy embodied in buying 'stuff'. At a very rough approximation, the cost of stuff, especially consumer goods manufactured cheaply, is quite a high percentage energy.

When you look at people's energy usage, quite a lot of it ends up being the embodied energy in the stuff they buy. For quite a lot of people, it's probably the largest category of energy consumption. I once had a very rough go at calculating this here: https://www.robinlinacre.com/energy_usage/

Certainly the initial versions were post processing rather than native. I'd be interested to know if that has changed on subsequent releases.

Or possibly 'men find the algorithmic/consumption based platforms relatively more appealing' and so were quicker to leave

Love this! Would be super interested in any details the author could share on the data engineering needed to make this work. The vis is super impressive but I suspect the data is the harder thing to get working.