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Republican vs Democrat handling of the virus

 
 
 
Couldn’t this just be a movement of the virus from the dense urban environments where it entered the country, which vote typically democratic, to the more sparsely populated rural areas, which vote typically republican?

Correlation is not causation.
 
I saw that on the NYT today. The guy who commented it can't be correct hasn't noticed it's a percent of total. Since the chart has to total 100%, of course the lines mirror image each other.
 
Multiple causes...

But also, it's not a terrible thing. We need people to get sick but not too many.
 
crazyfingers said:
I saw that on the NYT today. The guy who commented it can't be correct hasn't noticed it's a percent of total. Since the chart has to total 100%, of course the lines mirror image each other.
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Yup. It's showing the virus moving from blue to red as blue locations are better at stomping it out than red ones are.
 
Politesse said:
bigfield said:
Politesse said:
What was their source?
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Johns Hopkins publishes COVID-19 data by country.

https://coronavirus.jhu.edu/us-map

Combine that with election results and voila.
Click to expand...

So that's how they created that graph? Who compiled the data and made the graph?
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I don't understand what you are looking for. Some person's name? The charts are sourced to the NYT and the WaPo left and right respectively. You may be able to access the WaPo story that I linked to previously if they are providing free access to Covid-19 news as are many news organizations.

It's not that hard, just time consuming, to superimpose Johns Hopkins state and country data on C19 with any number of sources for who won which county in the 2016 election.

Is there something about the charts that you find unusual? To me the charts tell a story that anyone watching the news should already know.
 
crazyfingers said:
Politesse said:
So that's how they created that graph? Who compiled the data and made the graph?
Click to expand...

I don't understand what you are looking for. Some person's name? The charts are sourced to the NYT and the WaPo left and right respectively. You may be able to access the WaPo story that I linked to previously if they are providing free access to Covid-19 news as are many news organizations.

It's not that hard, just time consuming, to superimpose Johns Hopkins state and country data on C19 with any number of sources for who won which county in the 2016 election.

Is there something about the charts that you find unusual? To me the charts tell a story that anyone watching the news should already know.
Click to expand...

Newspapers don't actually do a lot of time-consuming original research these days.

And the chart doesn't really look like a natural set to me, but I'm not saying that my intuition means its a fake. I'm just curious how it was derived.

If a social scientist had produced it, they would explain how and it wouldn't be an issue, but news agencies and the like are harder to confirm.
 
Politesse said:
crazyfingers said:
Politesse said:
So that's how they created that graph? Who compiled the data and made the graph?
Click to expand...

I don't understand what you are looking for. Some person's name? The charts are sourced to the NYT and the WaPo left and right respectively. You may be able to access the WaPo story that I linked to previously if they are providing free access to Covid-19 news as are many news organizations.

It's not that hard, just time consuming, to superimpose Johns Hopkins state and country data on C19 with any number of sources for who won which county in the 2016 election.

Is there something about the charts that you find unusual? To me the charts tell a story that anyone watching the news should already know.
Click to expand...

Newspapers don't actually do a lot of time-consuming original research these days.

And the chart doesn't really look like a natural set to me, but I'm not saying that my intuition means its a fake. I'm just curious how it was derived.

If a social scientist had produced it, they would explain how and it wouldn't be an issue, but news agencies and the like are harder to confirm.
Click to expand...

I do market research for a living and I don't see the process needed to make those charts as anything that much different than I might do on a different topic. One of the data analysts in my company could probably whip that up in an hour after having the data. It's just data.
 
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Politesse said:
crazyfingers said:
Politesse said:
So that's how they created that graph? Who compiled the data and made the graph?
Click to expand...

I don't understand what you are looking for. Some person's name? The charts are sourced to the NYT and the WaPo left and right respectively. You may be able to access the WaPo story that I linked to previously if they are providing free access to Covid-19 news as are many news organizations.

It's not that hard, just time consuming, to superimpose Johns Hopkins state and country data on C19 with any number of sources for who won which county in the 2016 election.

Is there something about the charts that you find unusual? To me the charts tell a story that anyone watching the news should already know.
Click to expand...

Newspapers don't actually do a lot of time-consuming original research these days.

And the chart doesn't really look like a natural set to me, but I'm not saying that my intuition means its a fake. I'm just curious how it was derived.

If a social scientist had produced it, they would explain how and it wouldn't be an issue, but news agencies and the like are harder to confirm.
Click to expand...

What's so hard?

You have state and county data for who won the elections widely available.
You have state and county data for COVID-19 infections also available.

Combine those two and you get the graph.

The only thing that might make it look unusual is that it is in percentages, so the the two lines will naturally be each other's mirror images.
 
Jokodo said:
Politesse said:
Newspapers don't actually do a lot of time-consuming original research these days.

And the chart doesn't really look like a natural set to me, but I'm not saying that my intuition means its a fake. I'm just curious how it was derived.

If a social scientist had produced it, they would explain how and it wouldn't be an issue, but news agencies and the like are harder to confirm.
Click to expand...

What's so hard?

You have state and county data for who won the elections widely available.
You have state and county data for COVID-19 infections also available.

Combine those two and you get the graph.

The only thing that might make it look unusual is that it is in percentages, so the the two lines will naturally be each other's mirror images.
Click to expand...

Yup. Dump the data into Excel in a format to make a pivot table and then make the chart. It doesn't require any special social science knowledge. Just access to the data and some modest Excel skills.
 
Politesse said:
Okay. So is that what they did?
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Most likely. You could also do it in an Access database but it's not that large a data set so Excel would probably be quicker and easier so long as the two data sets arrived in a reasonably logical format. If I were to make that chart I'd expect that the biggest time consumer would be if the State>County names in the two data sets used different naming conventions. You'd need to match the names.
 
Jokodo said:
Politesse said:
Newspapers don't actually do a lot of time-consuming original research these days.

And the chart doesn't really look like a natural set to me, but I'm not saying that my intuition means its a fake. I'm just curious how it was derived.

If a social scientist had produced it, they would explain how and it wouldn't be an issue, but news agencies and the like are harder to confirm.
Click to expand...

What's so hard?

You have state and county data for who won the elections widely available.
You have state and county data for COVID-19 infections also available.

Combine those two and you get the graph.

The only thing that might make it look unusual is that it is in percentages, so the the two lines will naturally be each other's mirror images.
Click to expand...

Exactly. There's nothing complex about this, the relevant thing is the visualization that makes it so dramatic.
 
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