Buckle up, huge thread!
In 1988, voters in Arizona narrowly passed Prop. 106, which aimed to make English the official language of the state. The AZ Supreme Court struck it down in '98, but Prop 103. made English the official language again in '06.
#Electiontwitter
And on the issues, voter anger at Republicans was (obviously) incredibly deep. But the Voter Poll showed that voters aren't necessarily in love with Democrats, either. They're on the clock now. https://t.co/bdOxbRRUYn
Were these elections a vote for Dems or against Trump?
Largely driven by US House races, these midterms had the largest % of D vs. R races with the winner receiving less than 50% of the vote.
Voters aren't in love with either party.
Data from @DecisionDeskHQ
There's no doubt this was a D tsunami, but the data shows that voters aren't particularly enamored with Democrats. As @lxeagle17 work shows, Dems still have work to do. With this historic majority, they have the chance to do just that.
https://t.co/ZbyHsMDMj4
Here's how our poll lines up. Voters...
- haven't forgotten the Democratic weaknesses on crime (R+7).
- remain distrustful of Democrats on immigration (R+1).
- don't align heavily with Dems (see chart)
- *Still* vote blue (D+11) because the median voter now hates Trump/the GOP.
I redid the NYT blue wave map they put out, and extended it to previous years as well. You can really understand how big this wave was compared to everything else in recent history. 3.1 GB of data in 23 seconds.
This means most of Kalshi’s “superior” performance can be reproduced with one naive directional bet: take the forecaster model average and nudge every race toward the Democrat. No special insight required. Even better if you start with the best forecasting model. 6/9
Happy to answer questions about the analysis. The specific races I chose only had a D and R in the top two (no third place D) and were single member districts (NH I'm looking at you). Statewide races included gov, LG, AG, and secretary of state.
Voters didn’t choose Democrats because they like them. Being the lesser of two evils makes you still evil, in voters’ minds. Favorability for both parties is still underwater, and gains in deep red places probably won’t hold.
@benwfreeman1@NateSilver538 Corrected graph, the previous one had the dates wrong. FLIPR definitely moved the markets when it launched, an average of about 20% of the gap
In WI David Crowley beat Tom Tiffany by 8.5 points, a 9.4-point swing from 2024, continuing Dem control of the office
Down ballot, Democrats flipped both chambers, taking the Assembly 53-46 and the Senate 18-15 for their first trifecta since 2010, per @DecisionDeskHQ
@lxeagle17@gelliottmorris What about forecast tails? Where did the outcome (say Dems wins all outstanding races) fall in the percentile of your joint simulations?
There are a lot of races on the ballot this cycle, and many only became competitive late in the season, as seen on @DecisionDeskHQ.
To get a feel for how the night is going, watch these Senate races! FL and SC are quick counters and will likely be called early.
Of all of @uscdfelab CA polling there are only 2 of 7 districts to vote for Newsom over Harris in a head to head match up
In 2028 CA will be one of the most important states to win in the Dem Primary. Harris has lost in every Bay Area district polled, despite being her home turf
Imagine if some high school bros drew some buildings on CAD software then got all excited and declared software programmers have solved the most pressing problem of humanity: How to build more bulldings cheaply.
Actually, no need to imagine. Just read below.