For 2012, Ohio's 13th District was drawn to include every Democratic-leaning area from Youngstown to Akron. It was 63% Obama that year, but its lean has eroded. Biden still carried #OH13, but with 51% to Trump's 47.6% -- putting it slightly *right* of the national popular vote.
There were few differences between the presidential and congressional map in 2020. Basically Ryan made the Trump towns less red.
@kilometerbryman and I had a pretty substantive discussion about this map earlier.
• • •
Missing some Tweet in this thread? You can try to
force a refresh
Had some other stuff planned but guess I’m gonna have to do a precinct map of this, to show some of you guys what I mean. Given what we’ve seen in other northern states, this was a reasonable inference to make.
And no, I’m not “blaming” any group or another for the result.
With its votes certified, Biden won Minnesota by just over 7%; the same overall result that Mike Dukakis got in 1988. The farm crisis helped Dukakis in Greater MN, which was lighter red. MN-8 is now an R-leaning district. But MN-4 (St. Paul) & MN-5 (Minneapolis) are darker blue.
One of those times where I wish we could edit tweets, but MN-8 should have been a shade *darker* blue in 1988. It was Dukakis +19%.
Was debating putting the CD breakdowns on the graphic, and I should have -- I would have caught this.
I seriously beat myself up about these small errors, but I think it's best to be transparent!
Around Philadelphia, Biden carried the four suburban collar counties by a combined 59%-40%. This was an improvement from Clinton's 55%-41% margin in 2016. A mild blue shift was broad, though some bleeding in Lower Bucks stands out. Chester County, at Biden +17, was a bellwether.
I double-checked Lower Oxford, the dark red in southwest Chester. It was Clinton +22 to Biden +2. There's a HBCU there -- Lincoln University -- so I wonder if schools being online impacted that.
Lower Oxford also cast *fewer* votes than 2016 (rare for the area) so that sort of suggests my guess.
As Orange County, CA finished counting its primary ballots last week, we're going to be looking the House race in #CA45. This Congressional District is entirely in Orange County; it starts north in Anaheim, takes Irvine in the middle, and ends near Mission Viejo.
In 2016, Rep. Mimi Walters (R) won her second term by 17%. The district, which went to Romney in 2012, flipped to Clinton by almost 6%. Walters actually won more Clinton precincts than her Dem opponent, Ron Varasteh, did. #ca45
#CA45, like Orange County in general, has traditionally voted Republican. In fact, Clinton was the only recent statewide Democrat to carry it; even Obama and Feinstein lost it by double-digits. Still, the trend meant that Dems consider this seat a good pickup opportunity.
Ok guys, tonight we'll be doing a thread on last week's Wisconsin Supreme Court race. Democratic-aligned Rebecca Dallet beat GOP-supported Michael Screnock by almost 12%. #SCOWIS#wopolitics#ElectionTwitter
Compared to Clinton, who narrowly lost, Dallet had a lot of upside. She performed better in 69 of 72 counties. Further, looking at partisan loyalty, nearly 2/3 of her municipalities (496 of 757) voted for Trump. She flipped 24 counties. Only 2 HRC towns went to Screnock.
In the 2016 #WISen race, Sen. Ron Johnson (R) won a rematch w/ex-Sen. Russ Feingold (D). Feingold ran under HRC overall, but better in rural areas. As a result, there were fewer Johnson municipalities for Dallet to flip. She still flipped 432, as well as 18 counties.
Tonight on #ElectionTwitter, since NC may re-re-redistrict it's Cong. districts, we're gonna be looking back at the Congressional map that was in place from 2002 to 2010. #ncpol#ncga
Why this map? 1) It was drawn by Dems, and represents something of a best-case for them and 2) I've always liked this map, and usually end up breaking statewide races down under its lines, anyway. #ncpol#ncga
The 2001 Congressional map held up pretty well for Democrats. For example, they went into the red wave of 2010 holding 8 of 13 seats. They lost the House popular vote by 9% in NC, but of their seats, only #NC02 flipped R, and only barely. #ncpol