Recent comments in /f/dataisbeautiful

RybosWorld t1_j5675u3 wrote

> why do you care what they other 49 do?

Well we don’t live in a vaccuum. What happens in one state affects the others.

Most obvious example is federal funding. Red states disproportionately take more than they contribute. Blue states are the reverse.

This is one of the reasons it feels particularly frustrating that the electoral college is a thing. I.e. minority opinions can dominate and take take take.

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JackdiQuadri97 t1_j5654tv wrote

I fail to grasp how countries with a single party can be not polarized, I suppose the poll was not done to people in jail. Also i guess Russia is so much in the bottom left they are outside the graph.

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PapaGans t1_j563gto wrote

Given all differences between the red and blue states, your assumption that all the trends in your chosen metrics are solely/mainly caused by rep vs dem governance is totally unfounded. Have you ruled out effects of agricultural vs trading oriented states? Or sparsely populated vs densely populated states? Demographics? I'm not saying it doesn't have any influence, but why would voting behaviour be the root cause instead of one or more of these other factors? In fact you didn't even look at the historical governance, but only at the 2020 elections... This has the same energy as using the notorious FBI crime statistics to prove a point about ethnicities.

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Libertas-Vel-Mors t1_j5609kj wrote

Definitely agree that is partly true.

But then it also begs the question...does every American have to believe generating wealth is the biggest priority for government? Meaning does everyone see drawing wealth to a state a meaningful measurement of success for a state government?

I would suggest the state governments generally reflect the desires of the people. In a largely rural state with mostly blue collar people and jobs...are the people going to place a high value on education beyond high school? Are people in urban areas that own little or no actual property going to care about high property taxes to the same degree someone who lives on 5 acres will?

Red voters judge blue states against their own priorities, and blue voters judge red states against their own values. And I guess my thought is who cares? If you state is doing okay, why do you care what they other 49 do? And if your state is not doing okay, fix it before worrying about the other 49.

With 330 million people in this country there's going to be a lot of variation in political beliefs and values and what people consider important. And the states should reflect that variation, and they do.

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terrykrohe OP t1_j55yef5 wrote

... "politics" I used to brush aside as "he said, she said" discussions; then I noticed in 2016 that in a table of "obesity" data that the most obese states were Rep. In 2020 the observation was repeated (14 of most obese states were Rep, posted 29Apr21).

... really?! it should be 'random' ... what about other metrics?

... other metrics: NOT random (summary post, 14Apr2022). suicide rate, incarceration, ed spending, life expectancy, infant mortality, accidental deaths, GDP state taxes, gun ownership, murder rate, violent crime, and others were NOT random.

I suspect that the reason for the Systemic Bias of the data is not a matter of "opinion".

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Max Boot has suggested, WaPost, 26Oct2022:
There are many reasons, from history to geography, why per capita GDP in the United Kingdom ($47,334) is so much higher than in Russia ($12,172) or China ($12,556), but I would argue it ultimately comes down to governance. Britain, as a liberal democracy, has long been run for the benefit of its people, while Russia and China have always been run primarily for the benefit of their rulers.

I think that he is correct: in this case, Rep governance ("rulers" = "of the few, by the few, for the few") is the reason for the data differentiation.

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Artistic-Breadfruit9 t1_j55xsy9 wrote

I'm not a fan of how these are plotted.

This could have three bar plots, with "Red States" and "Blue States" on the X-axis (y-axes the same). Error bars to indicate the variability across red or blue states. Actually, it would have been even better at the level of congressional districts, but I don't know if those data are readily available.

Also, Mann-Whitney U-Test instead of a t-test (unless you can demonstrate a normal distribution).

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