SOURCE: Wikipedia
TOOLS USED: Flourish Studio
Colour meaning:
Pink – Female
Blue – Male
Red – Living
Gold – In the top 10
Interactive Version:
https://public.flourish.studio/visualisation/24991848/
Posted by JakeIsAwesome12345
SOURCE: Wikipedia
TOOLS USED: Flourish Studio
Colour meaning:
Pink – Female
Blue – Male
Red – Living
Gold – In the top 10
Interactive Version:
https://public.flourish.studio/visualisation/24991848/
Posted by JakeIsAwesome12345
10 comments
What’s a Marplatense doing there?
Does anyone know it?
How come there are so many spots in the United States, given how bad life is there? And so few in Europe in comparison?
Extreme longevity is almost always error or fraud, and it’s usually fraud.
Many cases are from places that had a history of poor record-keeping, self-attestation of age, or loss of records due to war and displacement. If you’re a displaced person receiving refuge in a welfare state, and you realise that overstating your age by 15 years gets you those sweet benefits, well off to the record books we go.
Otherwise it’s either concealing the death of a parent to continue receiving welfare payments, or assuming the identity of a dead parent to leapfrog into welfare payments. There is a very strong correlation between extreme longevity and poor management of welfare systems.
It is profoundly unlikely anyone has lived to 110. Yes, even your grandma.
[Source.](https://theconversation.com/the-data-on-extreme-human-ageing-is-rotten-from-the-inside-out-ig-nobel-winner-saul-justin-newman-239023)
If fan of unique post. Thanks.
That pic of a plane with red dots
Pro tip: if you want to live long in South America, live by the ocean!
Interesting, I always thought the Caucuses had a lot of the oldest people.
Bit meaningless by itself tbh
Does the organization that tracks this sort of thing acknowledge reports of similar claims made in the developing world?
Coastal proximity is a massively influential factor. (Primary protein source comes from a seafood diet…)
I tend to ignore maps that are too closely related to the basic “where people live” population maps. it tells me that location matters less overall compared to the random chance of being in a population center.
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