So how did my simple projection work out?

Remember this? I divided the counties up by how much their voter rolls had grown or shrunk since 2012, then used the 2016 turnout levels and 2018 results to project final numbers for the Presidential election in 2020. Now that we have those numbers, how did my little toy do? Let’s take a look.

A couple of things to acknowledge first. The most up to date voter registration numbers show that the group of counties that looked to have lost voters since 2012 have actually gained them, at least in the aggregate. Second, the actual turnout we got so far exceeded past numbers that we literally couldn’t have nailed this, at least not at a quantitative level. So with that in mind, let’s move forward.

We start with the counties that had seen growth of at least 10K voters on their rolls since 2012. There were 33 of these. Here are the numbers I had in my initial review, updated to include what happened this year.


Romney  3,270,387   Obama    2,792,800
Romney      53.9%   Obama        46.1%
Romney +  477,587

Trump   3,288,107   Clinton  3,394,436
Trump       49.2%   Clinton      50.8%
Trump  -  106,329

Cruz    3,022,932   Beto     3,585,385
Cruz        45.7%   Beto         54.3%
Cruz   -  562,453

Trump   4,119,402   Biden    4,579,144
Trump       47.4%   Biden        52.6%
Trump  -  459,742

Year  Total voters   Total votes   Turnout
==========================================
2012    10,442,191     6,157,687     59.0%
2016    11,760,590     7,029,306     59.8%
2018    12,403,704     6,662,143     53.7%
2020    13,296,048     8,765,774     65.9%

When I did the original post, there were 12,930,451 registered voters in these 33 counties. As you can see, and will see for the other groups, that increased between August and November, by quite a bit. As you can see, Trump did considerably worse than he had in 2016 with these counties, but better than Ted Cruz did in 2018. That says it all about why this race wasn’t as close as the Beto-Cruz race in 2018. My projection had assumed 2016-level turnout, but we obviously got more than that. Here’s what I had projected originally, and what we would have gotten if the 2020 results had been like the 2018 results from a partisan perspective:


Trump   3,533,711   Biden    4,198,699
Trump  -  664,988

Trump   3,975,236   Biden    4,723,310
Trump  -  748,074

Fair to say we missed the mark. We’ll see how much of a difference that would have made later. Now let’s look at the biggest group of counties, the 148 counties that gained some number of voters, from one to 9,999. Again, here are my projections, with the updated voter registration number:


Romney  1,117,383   Obama      415,647
Romney      72.9%   Obama        27.1%
Romney +  701,736

Trump   1,209,121   Clinton    393,004
Trump       75.5%   Clinton      24.5%
Trump  +  816,117

Cruz    1,075,232   Beto       381,010
Cruz        73.8%                26.2%
Cruz   +  694,222

Trump   1,496,148   Biden      501,234
Trump       74.0%   Biden        26.0%
Trump  +  994,914

Year  Total voters   Total votes   Turnout
==========================================
2012     2,686,872     1,551,613     57.7%
2016     2,829,110     1,653,858     58.5%
2018     2,884,466     1,466,446     50.8%
2020     3,112,474     2,022,490     65.0%

As discussed, there’s a whole lot of strong red counties in here – of the 148 counties in this group, Beto carried ten of them. They had 2,929,965 voters as of August. What had been my projection, and how’d it go here?


Trump   1,264,954   Biden      449,076
Trump  +  815,878

Trump   1,496,148   Biden      501,234
Trump  +  994,914

The margin is wider due to the higher turnout, but Biden actually did a little better by percentage than Clinton did, and was right in line with Beto. This is obviously an area of great need for improvement going forward, but the projection was more or less right on target, at least from a partisan performance perspective. But as you can see, even with the more optimistic projection for Biden, he’s already in the hole. Like I said, this is an area of urgent need for improvement going forward.

Now on to the last group, the 73 counties that had lost voters from 2012, at least going by the August numbers. As you can see, that turned out not to be fully true:


Romney     182,073   Obama      99,677
Romney       64.6%   Obama       35.4%
Romney +    82,396

Trump      187,819   Clinton    90,428
Trump        67.5%   Clinton     32.5%
Trump  +    97,391

Cruz       162,389   Beto       79,237
Cruz         67.2%   Beto        32.8%
Cruz   +    83,152

Trump      226,104   Biden     105,490
Trump        68.2%   Biden       31.8%
Trump  +   120,514

Year  Total voters   Total votes   Turnout
==========================================
2012       517,163       284,551     55.0%
2016       511,387       286,062     55.9%
2018       505,087       243,066     48.1%
2020       546,997       335,110     61.2%

As you can see, that decline in registrations has reversed, quite dramatically. I didn’t check each individual county – it seems likely that some of them are still at a net negative – but overall they are no longer in decline. Good for them. As you can also see, Biden performed a little worse than Clinton and Beto, but close enough for these purposes. Let’s compare the projection to the reality:


Trump      187,587   Biden      91,561
Trump +     96,026

Trump      226,104   Biden     105,490
Trump  +   120,514

Put the best-case scenario from the first group with what we got in the last two, and we could have had this:


Trump    5,697,488   Biden   5,330,034
Trump       51.67%   Biden      48.33%

Which is pretty close to what I had projected originally, just with a lot more voters now. The actual final result is 52.18% to 46.39%, so I’d say my method came closer to the real result than most of the polls did. Clearly, I missed my calling.

All this was done as an exercise in frivolity – as I said at the time, I made all kinds of assumptions in making this projection, and the main one about turnout level was way wrong. The point of this, I think, is to show that while Dems have indeed improved greatly in performance in the biggest counties, they haven’t done as well everywhere else, and while the marginal difference from Obama 2012 to Clinton 2016 and Biden 2020 isn’t much, the overall direction is wrong (even as Biden improved somewhat on the middle group over Clinton), and we’re going to have a real problem making further progress if we can’t figure out a way to improve our performance in these smaller counties. There is room to grow in the big and growing counties – these include some fast-growing and very red places like Montgomery and Comal, for instance – but we’re going to reach diminishing marginal growth soon, if we’re not already there. We need to step it up everywhere else. I’ll be returning to this theme as we go forward. Let me know what you think.

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2 Responses to So how did my simple projection work out?

  1. David Fagan says:

    The Fagan report predicted:

    Trump 50%
    Biden 50%

    With a plus or minus 3.4% margin of error. Looks like the Fagan report was spot on correct!

  2. Gary D says:

    No straight ticket voting looks like it affected Democratic state races in a bad way but did cause Dems to pick off the GOP State Board of Education District 5 race. I don’t have time to really run the numbers now but this might be worth looking at when final numbers come in.

    https://www.houstonpublicmedia.org/articles/news/politics/election-2020/2020/11/13/386096/what-are-the-effects-of-abolishing-straight-ticket-voting-in-texas-a-pain-in-the-butt/

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