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Discussion (46 Comments)Read Original on HackerNews
0 metres. Just turn round.
To pass within say 5m of someone you just need to set up shop at a busy train platform and wait. With 1000 people passing every 2 minutes it won’t take long to pass 100k (well presumably about 3 hours)
Clarity needed on the title or description!
> From the pin, a filled 5° slice in every direction. Petal length = distance to 100k people.
If you set the petal population threshold to a low value, like 10k or 20k, and drag it to a densely populated area like Koreatown, you'll get a degenerate "circle" with 0 feet in every direction.
I've been building a UK-wide 24-hour population dataset lately, and it's really opened my eyes to how much population data is best-guess-estimate - including census figures - and quite how difficult it is to say with any certainly how many people "touched" a location on any given day.
This map pretty much proves it!
Vancouver is similarly interesting, a lot of great-circle 2000+ mile segments that reach over towards New England, but everything west or north is invalid.
Would be neat if instead of a single yellow petal to 100k, each petal was a color gradient to 1k, 2k, 10k, 20k, 100k, 200k, or 1M people!
I imagine theres probably only a few cities where you could pull this off.
Anyways I know the article isnt this literal, this was just my first thought from the title and I had a chuckle lol.
1,570 miles by pinning the lower Keweenaw Peninsula which null-counts a great circle route through Canada.
It's kinda funny to hear an LLM use such americentric language, I suppose it didn't "know" it was working on something that would be public.
I think this tool would be much more interesting in the western US if they had incorporated Canadian census data as well.
This is really neat. Could this data be linked to quality of life indexes and see if there’s any correlation?
Punched in my grandparents' town and a bunch of the slices stretched 1500km over three states away. A lot of the US is big and empty.
From Union Square, you'd need to scan the city plus the entire East Bay.
https://landscan.ornl.gov/about