wahoowa.
a thing you need to understand about rooting for Virginia basketball is that at some point in every game they will go an extended period of time without scoring and that is normal
we love that part of the game where the offense doesn’t really work but we maintain a 2-4pt lead on moxie and free throws don’t we folks
true uva basketball fandom is when you, like me, unironically love this part of the game

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More from @_Jon_Green

24 Nov
Extremely happy to share that our (covidstates.org) short paper on messages to reduce vaccine resistance is conditionally accepted at the British Journal of Political Science. osf.io/7tn4d/ Quick thread 1/n ImageImageImage
In science communication, there’s a heavy emphasis on targeted messaging: delivering specific messages to specific groups based on what they’re most receptive to 2/n
But practically speaking, targeted messaging isn’t always feasible. For public health officials, it can be really useful to identify *general* messages that still get their point across 3/n
Read 8 tweets
24 Nov
folks!
there was a point in this half where Franklin was 4-4 (3-3 3pt), Gardner was 4-4, the *rest of the team* was 0-8 and UVA was up 10
Read 4 tweets
18 May
I wrote a paper about The Discourse. osf.io/2cjse/
This started as a dissertation chapter, but basically every word and figure has changed since. It's about ideology, how we make it, and how we can get some empirical leverage on it at a system level by looking at how ideologues talk about politics.
The main point I build around is: we tend to go about measuring ideology by testing for the extent to which preferences, broadly construed, reflect common understandings of "what goes with what." But ~ideology~ also includes a bunch of other stuff, like "why this goes with that."
Read 10 tweets
27 Jan
the way this paper plays "haha just kidding...unless?" with causal inference when the very obvious issue with their causal story is a) explicitly raised, b) inadequately addressed, and c) re-raised in the limitations section is very! frustrating!
this is not doing the work you want us to think it is doing!
anyway, lots of people have already pointed out that this is a great case study in how not to present observational evidence. it's also a great case study in why you shouldn't call undirected associations picked up in linear models "predictors"
Read 5 tweets
5 Mar 20
I swear we didn't intend this as a pre-write but @b_schaffner and I dug into the @DataProgress primary panel and found that, among many other factors that contribute to success or failure in primary elections, Warren faced a sexism penalty. dataforprogress.org/blog/3/5/sexis…
descriptively, warren's support is v concentrated among people at the low end of the hostile sexism battery. the ~1/3 of the Dem electorate that's >= neutral in agreeing with sexist statements is basically off the table for her
purely as a feature selection exercise, sexism is the most important trait (only behind previous-wave candidate support in overall importance) for predicting warren support. it's less important for biden/sanders
Read 5 tweets

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