

Mostly it’s just cheaper due to lower staff and rent costs, and maybe more efficient logistics, and less travel time / search cost for customer.
I still like in person shopping though, when i can, just pay the premium to be able to see what I’m buying and poke it a few times to check the quality.
Agree about large car park based shopping centres though, they’re shite.
It’d be nice to have town centre back and real markets. Drive out the infestation of fucking hipster food stalls charging over a tenner for lunch. But there just isn’t the trade to support more than a few real market stalls in my town.







I don’t get how this is any sort of "constant’ - surely it’s multi-modal with loads of variance. I don’t like averaging over such distributions. I’d think a distributional analysis or cluster analysis would be more interesting than averages. And I just don’t think “constant” is anywhere near the right word for whatever phenomenon this is describing.
The wiki doesn’t give much detail on their sampling frame for proving this “constant”. I suspect it might be a weak and biassed dataset.
I WFH 4 days a week normally, so i have quite a variance over the week [<00:05, <00:05, <00:05, 01:30, <00:05].
People like farmers typically/traditionally have quite short ‘commutes’ - but then they move around a lot from task to task. But office/factory workers will probably have longer commutes. Lots of other peripatetic or locum workers, taxis and deliveroos will inherently vary depending on the first customer/job of the day.