The movie of the same name, though unrelated, is vastly better.

Steve, already ahead of you! Thanks for the rec!

Everyone is a fan of upside volatility. Not so much the symmetric part. I tell my students to hit the giant corporate treasury jobs. If you are good there, you’ll be set for life.

Ummm. I can’t find the fact-checked expert-driven media, can you point me there? Is it just Pew, ProPublica, and Stat? (I did write a paper using news deserts…)

It’s in Section 2, Parts e and f of Article XIIIA, part f, purchase of comparable property vs reconstruction is particularly interesting! Thanks all for pointing me to it!

leginfo.legislature.ca.gov/faces/codes_...

Thanks a lot!

Thanks, I hadn’t heard that! That’s super helpful, do you have a link?

I think one of the most under-appreciated parts of this carnage is its relation to Prop 13. My reading (?) is that the rebuilding of homes would reset to market value, making property taxes exponentially higher than before. Will there be loopholes? Something I’m pondering…

“If you ain’t first, you’re last” the words of the immortal Ricky Bobby (father)

No reshape!

regressit.com/Stata_then_a...

As an occasional drunk and student of history, this is a microcosm of why Democrats lose elections.

People who didnt live in 170 Rome need to stop acting like they broed down with Marcus Arelius. In fact, if you don’t speak old Latin, shut the fuck up about Arete.

I’m also considering area as a weight in county-level regressions because of the serious cross state differences in county assignment, but then again, I’m likely crazy

So population as a weight is super weird to me, because it essentially only selects urban areas. Ln(pop) is interesting, but I feel more strongly that estimators should match on density because city and country ain’t the same.

1 bitcoin = 1 seat. See crypto IS useful!

I had exactly this for UGA vs Texas.

Skeet skeet!!