π·οΈ @aleximas.bsky.social
06.03.2026 03:23
π 3
π 1
π¬ 0
π 0
π·οΈ @aleximas.bsky.social
NY is proposing to "Impose liability for damages caused by a chatbot impersonating certain licensed professionals." nysenate.gov/legislation/... How does a chatbot trick you into thinking its a doctor? Senators: If you forgot you were conversing with AI, you need a doctor.
Ok I'm in a rabbit hole. If you search "how many decisions do we make in a day" the reported number is almost always 35,000, often reported that this is according to "multiple sources". Yet I can't actually find a single source that backs up that number. Anyone know where this number comes from?
Spicy take of the day: there are _always_ unmeasured confounders. We just make value judgements over how much they matter with respect to Y
#statsky #rstats
[ #GenAI-post warning] Almost every researcher I know is using Claude Code, and talking about the huge productivity gains. Are we actually producing more scientific papers yet? Since its release in May 2025, arXiv submissions are indeed *12%* above what we'd expect. Details in thread:
Looks very promising! Thanks for sharing it here
Our paper βInferring fine-grained migration patterns across the United Statesβ is now out in @natcomms.nature.com! We released a new, highly granular migration dataset. 1/9
Love the NLP: thoughtful application @economist.com
'Taxi' and 'cab' essentially mean the same thing, but 'cab' doesn't come from 'taxicab.'
It comes from βcabriolet,β which was a type of light carriage.
βTaxiβ comes from βtaximeter,β which is the device that calculates the amount of a fare based on the distance traveled.
I've released a new version of strgroup, a Stata command that does fuzzy string matching. No new functionality, but the underlying C code has been optimized: it now uses much less memory and runs about 5 times faster
github.com/reifjulian/s...
Here in Europe, I often hear British Englishβstyle pronunciations like DAH-ta, STAH-ta, and LAH-techβquite consistent?
Classic question! (LaTeX fans know the struggle.) According to this discussion jasonkerwin.com/nonparibus/2... Iβm guessing they leave it up in the air?
Open Studio with Pop-Up Store:
Friday December 12, 16-19h
Saturday December 13, 11-18h
Join us at:
Studio Christoph Niemann
SchrΓΆderstrasse 2
10115 Berlin
shop.christophniemann.com
"Captain Gains" on Capitol Hill Shang-Jin Wei & Yifan Zhou WORKING PAPER 34524 DOI 10.3386/w34524 ISSUE DATE November 2025 Using transaction-level data on US congressional stock trades, we find that lawmakers who later ascend to leadership positions perform similarly to matched peers beforehand but outperform them by 47 percentage points annually after ascension. Leaders' superior performance arises through two mechanisms. The political influence channel is reflected in higher returns when their party controls the chamber, sales of stocks preceding regulatory actions, and purchase of stocks whose firms receiving more government contracts and favorable party support on bills. The corporate access channel is reflected in stock trades that predict subsequent corporate news and greater returns on donor-owned or home-state firms.
什 1 1 -9 -8 -7 -6 -5 -4 -3 -2 -1 1 2 3 4 5 7 8 9 Year Figure 2: Estimated dynamic quasi-difference-in-differences coefficient, di, of equation(3), with vertical dashed lines representing 90 percent confidence intervals. The point estimate of the year in which the lawmaker became a congressional leader (Year 0) is normalized to zero. BHAR over the 250 days following each trade is the dependent variable and calculated using the Fama-French five-factor plus momentum as the benchmark model.
After becoming a congressional leader, a politicianβs stock portfolio beats out those of peers by 47 (!!!) percentage points a year through trades timed around bills and firms that later get government contracts
www.nber.org/papers/w34524
via @florianederer.bsky.social
Interesting paper highlight that binning can be misspecified in panel settings - this drives misinterpretation of extreme temperature shocks. #linkoftheday
www.dropbox.com/scl/fi/1ya6z...
In light of record submission rates and a large volume of AI-generated slop, SocArXiv recently implemented a policy requiring ORCIDs linked in the OSF profile of submitting authors, and narrowing our focus to social science subjects. Today we are taking two more steps:
/1
How to Reproduce this Book Exactly with LaTeX - great resource for writing Latex #linkoftheday
github.com/BenjaminGor/...
This is terrifying.
"[AI agents] can... infer a researcher's latent hypotheses and produce data that artificially confirms them."
...
"We can no longer trust that survey responses are coming from real people" -@seanjwestwood.bsky.social
NBER grants to fund research into economic measurement - I find this agenda very compelling and important #linkoftheday
www.nber.org/news/nber-la...
Oof, this is super slick! Go check it out ππ»
This paperβs been popping as βevidenceβ that you canβt do real #causalinference w/ obs data. To me it shows you need rigorous pre-specified design (in addition to the willingness to fold when your hypothesis is not possible to answer with the data at hand). #EpiSky, #CausalSky, #AcademicSky
π¨Next time you hire, donβt take it easy! In a new working paper, @elliottash.bsky.social, Jason Sockin, and I show the difficulty of the interview signals to workers whether the job is a good fit. π¨
Paper link: papers.ssrn.com/sol3/papers....
Do any other languages (Dutch, German, Spanish) share this quirk, or is English alone in having a verb whose past tense is an exact anagram of its base form?
Are there any other English verbs whose past tense is formed by simply rearranging the same letters (with no additions or deletions) as their present tense β like eat β ate? I canβt think of another example #NLP #linguistics
This study uses computational methods, including #AI, to analyze textbooks from public, religious private, & home schools, focusing on how they portray people, topics, & values over time.
Read: papers.ssrn.com/sol3/papers....
Subscribe: www.ssrn.com/index.cfm/en...
#AICommunity
FT graph showing massive UK public support for the opinion that it was wrong to vote to leave the EU.
Ah! Good morning, reality. And welcome. Weβve been expecting youβ¦
Added Finance job decomposition, and Federal Reserve Bank/Board jobs (zero so far this year...)
MIT-hoogleraar Pattie Maes: βNiemand snapt hoe taalmodellen werken, ook de bedrijven erachter nietβ
π·οΈ @barriosecon.bsky.social
Thanks for sharing @florianederer.bsky.social Now thatβs art β a true masterpiece!
