Share.

    27 Kommentare

    1. SomeSchmidt on

      I bet it’s even more distinct if visualized per-capita

      Edit: quick search and it looks like the opposite is true. 30 states went for Trump and 20 went for Clinton. Or 182 million vs 140 million

    2. Why not use the 2020 election?

      This karma farming is reposted from before the 2020 election happened. Vastly more COVID cases happened after this (6-30-20).

    3. This is likely more of a reflection of infectious disease spreading from urban, dense areas to rural areas given the timescale that is shown and not necessarily politicization of lockdown.

    4. I think some of this is driven by location. Republican voters are clustered in the South. Texas, Florida, the deep South. People who live in that area are indoors in the summer and that’s when covid really spread.

      Democratic voters are a little more spread out but they have strongholds in the Northeast and the Northwest, in Chicago and some of the upper Midwest. People who live in those areas are indoors in the winter, and that’s when covid really spread.

      I’ll bet you if you extend these lines for another calendar year, you’d see the red line dip in the winter and the blue line rise again. That’s not to say that the demonization of the vaccine and the advocacy for quack remedies doesn’t have a differential impact here, but I’ll bet it isn’t the primary driver.

    5. Dentonthomas on

      Early in the pandemic less populated places did less testing. Those places are much more likely to have voted for Trump.

      For the first person in WV to be officially diagnosed with COVID, his wife had to force the doctors to test him. For some reason they did not want to.

      ETA: I think this points to urban/rural biases. The media focused on large metro-areas, which may have lead to them getting more testing supplies. It may also have created a false perception in rural areas that they were unlikely to get COVID, and that there was no need to test people for it.

    6. Longlivethefarm on

      Estimate of blue line volume: 1.60M
      Estimate of red line volume: 1.33M

    7. Imagine putting your own health at risk and ignoring medical professionals – all to make a political statement.

      Oh – if you are maga – no imagination needed.

    8. ExtendedWallaby on

      Vaccine-preventable COVID deaths likely decided the 2022 Arizona Attorney General race. The Democrat won by 280 votes, which is quite a bit smaller than the number of Republican voters who died of COVID who would not have if they had been vaccinated.

    9. IIITommylomIII on

      Why use the 2016 election instead of the 2020 election? Thats what makes me think this data is inaccurately represented. A lot of the hardest hit states like Georgia and the Midwest flipped from Trump to Biden because of Trumps shitty Covid response. The election results in 2016 simply don’t matter in connection to a pandemic that happened four years later. Also some states that Trump won could have also had democratic governors who had stricter covid responses, so not every red or blue state is controlled by the party that won them.

      If you used the 2020 election results then there would be a more equal representation of this data. However, using voting statistics from a presidential election does not have effect on Covid cases, that is stupid. It has much more to do with geography and population density. If anything, the Covid response from local governments had more effect limiting or increasing COVID cases than the federal government. Correlation does not equal causation.

      Also why do people even bother to make these graphs. This is why I despise both political parties, some of y’all just can’t see the bigger picture. Blindly following whatever is seen on your little reddit bubble. Also, I am not an enlightened centrist saying this bullshit either.

    10. SouthImpression3577 on

      I remember very early on that the Democrats were calling covid a hoax and that Nancy pelosi said to come on down to China town. For a good week or two leftists refused to acknowledge covid, then it all flipped for some reason – maybe people got their scripts swapped.

    11. COVID-19 ***Diagnoses*** by 2016 election results.
      Most cases went undiagnosed and therefore unrecorded.

    12. PleaseEvolve on

      Waiting for the same graph on rabies cases in a few years. Some indications people are extending anti-vax to their pets.

    13. AVeryFineUsername on

      Seeing as Trump basically won all the states except California, Illinois, and New York you’re basically just plotting those 3 wealthy populated states which are hubs for international travel against the rest of the country.  It would make sense they get hit first and then improve as they receive more support

    14. yyrkoon1776 on

      This is not the own everyone clearly thinks it is.

      1: Interpreted another way, this shows that blue states were hardest hit when the virus was most deadly. Red states were getting more cases when there were less deadly strains in the majority of cases. This is, I’m sorry to say, rational

      2: This is influenced more by demography than policy. Blue states tend to be more densely populated. So it makes sense that the virus would hit them sooner, spreading immunity (and the occasional death) and then level out.

    15. chipmunkofdoom2 on

      Yeah per capita or bust. Red states are smaller and have fewer people in them. My bet is the series are mostly identical in the early days, and sharply diverge as better guidance, and eventually vaccines, become available.

    Leave A Reply