Interesting there is a lot more blue in the states with lowest education, highest obesity rates, smoking alcoholism etc.

And poverty, whether rural or urban.

Both San Juan and hinsdale counties have under 800 people

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What’s a crust pie and why is it broken up into different clusters and colors?

And hush puppies aren’t even close to pie.

I’m sorry, what the hell does ze and xe mean?

This is even funny given Argentine's flag colours

Definitely a phenomenon in rural mountain west…it doesn’t seem to affect life expectancy though (according to data linked earlier in this thread)

: https://www.reddit.com/r/dataisbeautiful/comments/116itjy/percent_of_medicare_users_with_4_chronic_medical/j96zblo/?utm_source=share&utm_medium=ios_app&utm_name=iossmf&context=3

Duke Sucks.

...where my Fark bois at?

This is terribly misleading. The NCAA tournament was only 25 teams in 1964 when Wooden won his first. Win one game and you’re now in the Sweet 16. Hell, in 1965, it was even less at 23 teams. Also, only league champions were invited to the tournament.

I'm not sure it's a great illustration of that; I'm fairly certain that there are a higher percentage of major movie releases that have male leads (which is a problem in itself).

To make up some numbers as an example, since I haven't counted from the diagram, if 70% of major movies had male leads, and 70% of the movies in the he/him category were male leads, it would show no bias in that group for their preferred lead. In the same scenario, if 50% of movies in the she/her has female leads, it would actually show a bias, as it differs from the general ratio. And if he/him were 80 male and she/her were 40% female it'd show a somewhat similar bias on both sides.

Again, I'm not saying that any of those numbers are real, nor that your conclusion that he/him have more bias in preferred leads than she/her is false. I'm just saying that this graph and underlying "study" don't necessarily illustrate that.

Places like cancer alley aren’t doing people any favors.

How about chicken pot pie and..... pot chicken pie?

i mean most older people move south, so makes sense.

I can’t even see that black text on the blue blobs

No. The crescent of high black population does not show strongly and West Virginia is strongly represented here while also being mostly white.

I’m curious whether this map is pre or post COVID

I thought I’d seen this map somewhere:

https://www.cdc.gov/obesity/data/prevalence-maps.html

😮👉...dammit, you're right.

I disagree that's what the scale is for, to inform the audience on how the interpret the graph.

I think it creates an arbitrary line that intuitively feels like, "this is where there's problems, this is where things are good." At that point, whether intentionally or not, the color scale is editorializing the data presentation.

Poor and agriculture areas.. exposure to more artificial chemicals and immigrants that don’t trust the government/medical system.

And the most populated areas.

How come he and xe have so many in common but nobody else?

No, just that there may be more ways to read the map than the west needing their own system.

I would use the warm colors for higher risk areas vs cool colors. That seems a bit backwards but an interesting result