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Early Voting Tracker- Elections Lab


StassneyHorn

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4 hours ago, bolverk said:

 

Mid-sized cities away from the border that rate poorly:

  • Corpus Christi
  • Amarillo proper (not the suburbs to its south)
  • Temple/Killeen/Copperas Cove
  • Wichita Falls
  • Abilene
  • Odessa (Midland's doing okay)
  • Victoria

 

 

are you still talking about voting or is it general commentary about those cities?

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6 minutes ago, Huckleberry said:

I was actually going to look into doing something like this so I appreciate what you're doing. What did you use as a factor for the trend continuation? For example, if a county went 40% Clinton then 42% Biden are you saying 44% this year or are you continuing but dampening the trend? I would want to look at historical info but without enough time to devote to it, my first instinct would be to cut the last 4 year difference in half so call the estimate for the above hypothetical county 45% Harris this year instead of 46%.

I'm not a stats wizard like yourself, so I just cheated and used the FORECAST formula option in Excel (using 2012, 2016, and 2020) to guestimate what 2024 should look like. I honestly have no idea if that was a defensible option, but that's what I went with. 

Most of the rural red counties showed a huge drop in support for the Dem candidate from 2012 to 2016. Some continued that decline in 2020, and so the trend continued to show them getting redder in 2024. Some dropped in 2016, but support inched up in 2020 toward Biden and the 2024 output kind of split the difference between 2016 and 2020. The ones that were steadily getting bluer continued to do so.

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21 minutes ago, Huckleberry said:

I was actually going to look into doing something like this so I appreciate what you're doing. What did you use as a factor for the trend continuation? For example, if a county went 40% Clinton then 42% Biden are you saying 44% this year or are you continuing but dampening the trend? I would want to look at historical info but without enough time to devote to it, my first instinct would be to cut the last 4 year difference in half so call the estimate for the above hypothetical county 45% Harris this year instead of 46%.

 

6 minutes ago, bolverk said:

I'm not a stats wizard like yourself, so I just cheated and used the FORECAST formula option in Excel (using 2012, 2016, and 2020) to guestimate what 2024 should look like. I honestly have no idea if that was a defensible option, but that's what I went with. 

Most of the rural red counties showed a huge drop in support for the Dem candidate from 2012 to 2016. Some continued that decline in 2020, and so the trend continued to show them getting redder in 2024. Some dropped in 2016, but support inched up in 2020 toward Biden and the 2024 output kind of split the difference between 2016 and 2020. The ones that were steadily getting bluer continued to do so.

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Okay, that's a linear trend then. I think it will overstate the vote trends for this election but it's not a bad calculation to look at. With another step it might be better. If you used FORECAST on the difference in vote shares instead of on the vote shares themselves and then added that estimated 2020-2024 difference to the 2020 vote share it would be a better reflection, I would think off the top of my head.

As an example, if a county went 40% Obama, 42% Clinton, 43.5% Biden then FORECAST on the vote shares themselves will give you 45.3% Harris. But if you run FORECAST on the deltas (2%, 1.5%) then it will of course estimate a 1% delta this election, and you will have a prediction of 44.5% Harris in this election.

Of course this also has risks for counties that reversed trends. So probably not worth the effort for message board posting.

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16 minutes ago, Huckleberry said:

Okay, that's a linear trend then. I think it will overstate the vote trends for this election but it's not a bad calculation to look at. With another step it might be better. If you used FORECAST on the difference in vote shares instead of on the vote shares themselves and then added that estimated 2020-2024 difference to the 2020 vote share it would be a better reflection, I would think off the top of my head.

Just shared a link to a copy of my spreadsheet in your DMs if you want to play with the numbers.

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Sort of. I sent him back a more conservative version that dampens the trends. It has Harris at 46.3% of the vote.

Of course his county percentages are based on early voting turnout but using full election vote shares from 2020. I don't think there's a better way to do it, though, considering that reasonable people expect the early versus election day voting split to be 2022ish, not 2020ish. Just saw that poll that said 50% plan to vote on Election Day versus 37% in 2020.

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5 minutes ago, Huckleberry said:

Of course his county percentages are based on early voting turnout but using full election vote shares from 2020. I don't think there's a better way to do it, though, considering that reasonable people expect the early versus election day voting split to be 2022ish, not 2020ish. Just saw that poll that said 50% plan to vote on Election Day versus 37% in 2020.

Yep.  We are moving to a totally different model than 2020, so really hard to just compare things to 2020. 

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5 minutes ago, Huckleberry said:

Sort of. I sent him back a more conservative version that dampens the trends. It has Harris at 46.3% of the vote.

Of course his county percentages are based on early voting turnout but using full election vote shares from 2020. I don't think there's a better way to do it, though, considering that reasonable people expect the early versus election day voting split to be 2022ish, not 2020ish. Just saw that poll that said 50% plan to vote on Election Day versus 37% in 2020.

Yeah, it doesn't consider at all which way the Early Voters might swing, but like you said, I don't know how you'd calculate that in Texas. That said, 36% of registered Texas voters were already in the bad as of yesterday, but I haven't looked at EV turnouts at the local level in past elections.

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4 hours ago, Aqua Buddha said:

Georgia's early vote and mail in total is already at 75% of the 2020 total.  Granted, the state has grown more so there's that.  Both parties are definitely cannibalizing election day vote.

Georgia almost 57% women, BTW.  Harris ain't losing GA.

GA was 56% women in 2020. Depending on how Election Day shakes out it would be a stretch for that to slip back low enough to flip the state back to red. 

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3 hours ago, heso said:

GA was 56% women in 2020. Depending on how Election Day shakes out it would be a stretch for that to slip back low enough to flip the state back to red. 

With EV being so huge, the ballots cast so far should look a lot like the final electorate. That’s bad news for Harris. Young adults are 10.5% of the 2024 EV vs 16.2% of the 2020 total vote. Black vote share is down a point (28.9 v 29.9). Urban share is 16.7% v 19.0% 4 years ago and rural is taking share from the suburbs as well as the cities.

https://targetearly.targetsmart.com/g2024?count_prefix=final_eday_voted_count_&demo_filters=[{"key"%3A"age"%2C"value"%3A"All"}]&state=GA&view_type=state

You can’t replicate the 2020 electorate, much less the Obama Coalition when young voters and urban voters stay home. How do you move the numbers when 70-75% of the votes are already cast? The shortfall of black support is smaller a can be made up by the 25-30% yet to vote but that is not enough by itself. Like NV, the remaining votes have to look radically different for Kamala to win. 

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4 minutes ago, sushihorn said:

With EV being so huge, the ballots cast so far should look a lot like the final electorate. That’s bad news for Harris. Young adults are 10.5% of the 2024 EV vs 16.2% of the 2020 total vote. Black vote share is down a point (28.9 v 29.9). Urban share is 16.7% v 19.0% 4 years ago and rural is taking share from the suburbs as well as the cities.

https://targetearly.targetsmart.com/g2024?count_prefix=final_eday_voted_count_&demo_filters=[{"key"%3A"age"%2C"value"%3A"All"}]&state=GA&view_type=state

You can’t replicate the 2020 electorate, much less the Obama Coalition when young voters and urban voters stay home. How do you move the numbers when 70-75% of the votes are already cast? The shortfall of black support is smaller a can be made up by the 25-30% yet to vote but that is not enough by itself. Like NV, the remaining votes have to look radically different for Kamala to win. 

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3 hours ago, heso said:

GA was 56% women in 2020. Depending on how Election Day shakes out it would be a stretch for that to slip back low enough to flip the state back to red. 

I meant to say that it *wouldnt* be a stretch for that gender split for fall back a couple of points and flip the state red. 

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13 minutes ago, sushihorn said:

Early voting was generally a small part of total turnout in 2016. FL was a major exception: half the vote was early. Notice that the error there was 2.6% which is better than most traditional polls did that year. If 50% is reasonably predictive, I’m going to say 70-75% should be also. 

The fact that it randomly correlated doesn't mean it should be thought of us predictive. We know that there are often differences in early voting and election day voting. This is true across states and across elections. You're assumption is simply not warranted. 

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The advantage didn't get us much.
The Republicans have mostly controlled the State House, the Senate, and won many statewide elections in that time. Not to mention the 2016 Presidential election in Pennsylvania. 2022 was the first time that Senate seat was won by a Democrat since...1962. 
The PA D registration advantage didn't seem to actually mean advantages in votes. If it has been eroding away for 20 years than why were results in 2020 and 2022 better than the results in 2014 and 2016? That doesn't seem like something eroding away.
But I don't know all the dynamics of Pennsylvania politics or what it really means to be registered D.
 

That advantage did show up in election results. At its peak it gave Obama the largest MOV in an election in PA since Nixon-McGovern.

Before hypothesizing about why the change happened, some numbers:

Since 2008, 2,127,861 Pennsylvanians changed their party affiliation thusly:

D to R: 633,000
I to D : 372,000
R to D : 366,000
I to R: 289,000
D to I: 272,000
R to I: 196,000

Giving Republicans a gain of 360,000.

Unsurprisingly these changes have peaks in election years, the biggest being 2016.

Both on a total and percentage basis this has happened in southwestern PA more than any other part of the state. A Democratic stronghold for a century, it’s now a super trumpy area. It was the land of steel mills and coal mines and unions. I wouldn’t be surprised if southwestern PA had the biggest electoral shift in the country over the last 30 years. Politically, PA used to be referred to as a T because southeast and southwest were solid blue. Now Allegheny County is an island in the west.

I think this is the single biggest factor in that change:

3a1f45601619082d75d9623d280d5222.jpg

You have a bunch of rural communities that never recovered. Plus a lot of latent racism, and FOX news constantly telling them that big city coastal elites are working against them. Add in that anyone smart enough to go to college gets the fuck out.

Then here comes Trump promising to put everything back to the way it used to be. When you have dozens of communities that peaked in the 1930s-60s and Trump is telling them in simple words that he can fix it.

Which is borne out in the annual data. 2016 was the largest shift of voter registration. 113k D to R in 2016. The rise of MAGA. It’s been declining since then: 81k in 2020, 71k in 2024. As have shifts in other directions as well.

Rural PA, lead by SW PA is making the same shift that SE Ohio and West Virginia are/have made. Dying small towns that are looking for someone to blame. Trump gives them someone to blame.
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I’ve been looking for this data and finally found it. Women are not a monolithic group and they are a large group so it makes sense to drill down. Pew Research looked at political preferences among women by relationship status and there are huge group differences. 

image.thumb.png.480196b059825479ff87c3dba45a2fed.png
 

Married, widowed and divorced women are narrowly divided by party preference: married R+5, widowed D+1, divorced D+7. Cohabitators are D+31 and never married are D+48. Lesbian and Bi are D+71.

It’s pretty clear where the gender gap comes from and why it looks like the Grand Canyon in socially liberal cities. I think cultural attitudes towards marriage are a major reason for the rural-urban contrast. 

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17 minutes ago, sushihorn said:

I’ve been looking for this data and finally found it. Women are not a monolithic group and they are a large group so it makes sense to drill down. Pew Research looked at political preferences among women by relationship status and there are huge group differences. 

image.thumb.png.480196b059825479ff87c3dba45a2fed.png
 

Married, widowed and divorced women are narrowly divided by party preference: married R+5, widowed D+1, divorced D+7. Cohabitators are D+31 and never married are D+48. Lesbian and Bi are D+71.

It’s pretty clear where the gender gap comes from and why it looks like the Grand Canyon in socially liberal cities. I think cultural attitudes towards marriage are a major reason for the rural-urban contrast. 

You're conflating cause and effect here. 

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42 minutes ago, sushihorn said:

I’ve been looking for this data and finally found it. Women are not a monolithic group and they are a large group so it makes sense to drill down. Pew Research looked at political preferences among women by relationship status and there are huge group differences. 

image.thumb.png.480196b059825479ff87c3dba45a2fed.png
 

Married, widowed and divorced women are narrowly divided by party preference: married R+5, widowed D+1, divorced D+7. Cohabitators are D+31 and never married are D+48. Lesbian and Bi are D+71.

It’s pretty clear where the gender gap comes from and why it looks like the Grand Canyon in socially liberal cities. I think cultural attitudes towards marriage are a major reason for the rural-urban contrast. 

This is why the libs are using the schools to make as many gays as possible!!

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8 minutes ago, StassneyHorn said:

I don’t know how you are going to find reliable relationship stats on registered women voters, so I give you race breakdowns.

Target Smart actually has marital status as a demographic slice. It’s binary though, married v non-married. It’s not very detailed but it provides another directional indicator. 

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1 hour ago, sushihorn said:

I’ve been looking for this data and finally found it. Women are not a monolithic group and they are a large group so it makes sense to drill down. Pew Research looked at political preferences among women by relationship status and there are huge group differences. 

image.thumb.png.480196b059825479ff87c3dba45a2fed.png
 

Married, widowed and divorced women are narrowly divided by party preference: married R+5, widowed D+1, divorced D+7. Cohabitators are D+31 and never married are D+48. Lesbian and Bi are D+71.

It’s pretty clear where the gender gap comes from and why it looks like the Grand Canyon in socially liberal cities. I think cultural attitudes towards marriage are a major reason for the rural-urban contrast. 

That doesn't make any sense. Why would it look like the Grand Canyon in Liberal cities? The trends seem pretty consistent for both genders.

 

 

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11 minutes ago, sushihorn said:

Target Smart actually has marital status as a demographic slice. It’s binary though, married v non-married. It’s not very detailed but it provides another directional indicator. 

What states ask for relationship status? What states update this? Are they cross referencing marriage and divorce records?

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20241030_112720.jpg

 

Top line for PA: Even

For reference, the actual VBM partisan split in PA as of this Monday is 58-31-10 D-R-I. Giving the GOP all the indies, and assuming no other partisan switching makes it 58-41. This poll clearly seems to have oversampled Republicans.

MOE of 9% though, so small sample size of like 100.

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29 minutes ago, berlinerbaer said:

20241030_112720.jpg

 

Top line for PA: Even

For reference, the actual VBM partisan split in PA as of this Monday is 58-31-10 D-R-I. Giving the GOP all the indies, and assuming no other partisan switching makes it 58-41. This poll clearly seems to have oversampled Republicans.

MOE of 9% though, so small sample size of like 100.

We talked to 10 people at Taco Bell....

MOE of 9%

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With EV being so huge, the ballots cast so far should look a lot like the final electorate. That’s bad news for Harris. Young adults are 10.5% of the 2024 EV vs 16.2% of the 2020 total vote. Black vote share is down a point (28.9 v 29.9). Urban share is 16.7% v 19.0% 4 years ago and rural is taking share from the suburbs as well as the cities.
https://targetearly.targetsmart.com/g2024?count_prefix=final_eday_voted_count_&demo_filters=[{"key"%3A"age"%2C"value"%3A"All"}]&state=GA&view_type=state
You can’t replicate the 2020 electorate, much less the Obama Coalition when young voters and urban voters stay home. How do you move the numbers when 70-75% of the votes are already cast? The shortfall of black support is smaller a can be made up by the 25-30% yet to vote but that is not enough by itself. Like NV, the remaining votes have to look radically different for Kamala to win. 

Has this been addressed yet by anyone on the “other side” of this analysis? I read it when I woke up to take a piss, and it’s making it difficult for me to go back to sleep now.
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7 hours ago, heso said:


That advantage did show up in election results. At its peak it gave Obama the largest MOV in an election in PA since Nixon-McGovern.

In one election Obama did well. Good for him.

But otherwise the Republicans have done well there. Especially in 2010. So if this advantage has been eroding away why would the results in 2022 be so much better for the Democrats than in 2010? Pretty worthless advantage...except for Obama in 2008.

Edited by Valmy77
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