Again, it is funded by a corporation. Not just any corporation, either. If you want to take issue with it, be my guest, but I didnt write it and as I alluded to, I think it is already suspect because of UnitedHealth’s involvement.
My point was that discriminations (example, if a state was governed by the KKK) are not measured as part of being a good place to live in, which I find ridiculous.
Also if you ask me, all the states qualify considering the political state of the USA.
If all the states qualify by your metric then there is no reason using it as a metric. They all tick the box.
I think you might be able to look at the map and find how their metrics seem to correlate with what you might expect for the places that have a higher rate of discrimination, however
I find it a bit weird to have a criteria of “quality of the internet” but not a single point related to discriminations.
So you can be state controlled by the KKK, as long as you have good internet it’s a good place to be in?
It is a health ranking sponsored by a megacorp. Take it fwiw, but I personally wouldnt put too much stock in it. https://en.wikipedia.org/wiki/America's_Health_Rankings
I mean, it has quality of schools, renewable energy use, those are not more health-related than discrimination.
Again, it is funded by a corporation. Not just any corporation, either. If you want to take issue with it, be my guest, but I didnt write it and as I alluded to, I think it is already suspect because of UnitedHealth’s involvement.
Which state on the map qualifies as good Internet and controlled by the KKK from your perspective?
My point was that discriminations (example, if a state was governed by the KKK) are not measured as part of being a good place to live in, which I find ridiculous.
Also if you ask me, all the states qualify considering the political state of the USA.
Ok so you can’t have it both ways.
If all the states qualify by your metric then there is no reason using it as a metric. They all tick the box.
I think you might be able to look at the map and find how their metrics seem to correlate with what you might expect for the places that have a higher rate of discrimination, however