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16
3006Springfield 16 points ago +16 / -0

Well there goes my free time this week

8
roytheboy 8 points ago +8 / -0

I'd love it if someone could take a look and give me a second opinion, but I think this whole thing is flawed. I tried to plot the data myself, but the problem is - he's getting his numbers for each batch of votes based on the percentage of the overall vote. Which is fine at first, but once the overall vote gets larger, the percentage barely changes, since it's rounded to only 1 decimal place.

So all the mail-in ballot batches that he assumed were the same because they were "mixed together like cards" is really just because of the way the data is formatted.

But like I've said elsewhere in this thread I'm running on empty so I could be off the mark on my analysis too.

4
CosmoDiGirolamo 4 points ago +9 / -5

This guy did a thread on why the NYT "Edison" scraped dataset is no good. If you are interested, please read it. We may be barking up the wrong tree here.

https://twitter.com/hyonschu/status/1325627295181103104

If you are interested in checking out what is a bigger / better scraped dataset, check this one out from Decision Desk HQ.

https://gofile.io/d/eUNz6r

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roytheboy 8 points ago +8 / -0

Yes! Glad I'm not going crazy. The tl;dr from his tweets:

This dataset doesn't even have the number of votes actually cast. It's

  • total votes cast
  • percentage dem
  • percentage rep

lots of room for error here. Once we get into the millions, we are going to miss >thousands of votes and attribute them incorrectly due to rounding. So we have >to be super careful about what conclusions we can reach using this data.

-2
CosmoDiGirolamo -2 points ago +4 / -6

If you are interested in checking out what is a bigger / better scraped dataset, check this one out from Decision Desk HQ.

https://gofile.io/d/eUNz6r

4
Magafactured 4 points ago +4 / -0

β€œHello, fellow millipedes! Trust my true and honest advising!”

5
Thinkgod 5 points ago +5 / -0

Why are u spamming this bot

0
CosmoDiGirolamo 0 points ago +1 / -1

You can find my twitter if you want, @CosmoDiGirolamo. I helped share this original time series analysis. If it's incorrect, I want to help share the correction. I don't want pedes wasting time in a flawed dataset.