From our February Issue: Plutopopulism: Wealth and Trump’s Financial Base by @SKates5350, ERIC MANNING, @TMendelberg and @owasow. https://t.co/ITjT4VgoVk
1. Frontier large language models are *fantastic* at checking preregistration fidelity. This is a perfect use case.
2. I recognize prereg norms differ. Editors can still use their judgment about what issues are severe enough to desk reject. IMO many of these cases are quite clear
This whole movie is filled with beautiful sweaters and jackets. Thinking about the jacket the forensic psychologist wears in that early scene in the precinct. Great stuff
I love how stupid this is. The book in 2nd place did this less than a month ago and it centers a specific issue, provides historical context, discusses the modern problem, and even offers some solutions. The third place book has done it multiple times over the past year(!)
Were wealthy donors key to Trump’s campaigns in 2016 and 2020?
I'm thrilled to announce a new paper in which @ SKates5350, Eric Manning, @TMendelberg and I analyzed data on 108 million (!) homeowner-voters.
See https://t.co/aFY31KxrDQ 🧵 1/
With correct link: Just published on APSR First View: "Plutopopulism: Wealth and Trump’s Financial Base" by Sean Kates, Eric Manning, Tali Mendelberg, and Omar Wasow. https://t.co/RlPTlCtzo6
Randomly finding new music from Gabrielle Marlena on Spotify almost makes up for the horrible UI that stops me from easily finding new music on Spotify
Weighting on recalled vote share is a form of herding! It's a way to ensure your polls never get too far out of line with the consensus, or the previous election. But it'll make you miss actual movement in the electorate.
At one point, I actually thought he was just cynically taking advantage of the set-up of his field, but now I am more horrified to find out he doesn’t understand it at all.
Arthur you claim to be an expert in Bayesian statistics. Actually quite a lot of information is revealed by n=1 in this case, e.g. the Princeton model that gave Trump <1% chance is much much wronger than one that said p(Trump)=29%. Literally just plug it into Bayes' Theorem.
Annoying that we’ll never get to observe the results of a Biden v Trump 2024, in which some pollsters had Biden and Trump tied with 18-30 yr olds. Those polls were almost certainly measuring something other than pure vote intention but now history has rendered them unfalsifiable
Put more succinctly, the larger the house effect, the less faith you should have that the underlying signal you are attempting to back out was ever there/collected. There is probably a threshold where you are injecting more noise by including polls from that house.
Interesting trade-off rarely discussed, but if a house is SUPPOSED to be measuring same thing as everyone else, and they have a large and consistent enough craziness that you think it makes your house effect estimate easy, it's probably fraud and you should exclude entirely
@lxeagle17 One good thing about this is the more observations you have of a pollster getting weird data in one direction the easier it is to fit a house effect, and you can do it earlier in the campaign
To celebrate the DVD and Blu-Ray release of the year's most talked about film - we're giving away this Past Lives inspired bundle which includes:
Blu-Ray / DVD
A Celine Song Girls On Tops tee
In-Yun Zine
To enter - follow + retweet and 3 winners will be picked at random.
Fun fact: I am a philosopher married to a philosopher. Our oldest child has his first girlfriend. He now loves to tell us that he, too, is a philosopher.
Anyone care to guess her name? 😂