Fair! I've actually heard lots of mixed feels. To me its pros and cons, but I tend to tune in.

Interesting, will check out! IIRC the main thread of the podcast critique is not that the results are wrong, but more a criticism of the lack of impactful translation to policy. Episode 2 talks a lot of government "nudge units". Been a while since I listened tho.

If you enjoy salty podcasts, If Books Could Kill has a two-parter on Thaler & Sunstein's Nudge. The first episode covers organ donation (and IIRC a bit on retirement) and other early work. Recommend both episodes (and the rest of the podcast too). Available wherever you get your podcasts.

Less glib: my ability to do research-by-graduate-student leverages skills i've built up over a decade, e.g., knowing how to "unit test" student output, considering edge cases, etc. Things like: why doesn't the plot start at y=0? Etc. Processing the output of vibe-code feels very similar. 2/2

Here are the stats for my own account. (Separately: used this script rewrite to test drive claude code for the first time, amazing.)

This is a cool/simple/elegant glimpse. And thanks for sharing the script! I think the lurker percentage is pretty comparable, but I don't have hard numbers to point to for (any vintage of) any other network.

(Ignore the spurious "Original" string at the bottom; that's just a bad crop by me, I was comparing the modified and original tex tables in the same tex file)

With a disclaimer that this was just 30 minutes of hacking, generously aided by AI coding, so I might have messed up the code tweaks. But I wanted to report back and also give huge kudos for the clean replication code. 3/3

Your code repo is amazingly clean, so I was able to do straightforward code modifications and replicate your Table 6 and 7 with added mayoral cohort controls. Happy to report the law enforcement effect finding in Table 6 is largely robust to this change in model spec, 3.6% instead of 3.9%. 2/

Interesting! Reading the paper, I quickly wondered about the linear control for "year became judge", worried it would be more appropriate to have non-linear/cohort controls for the mayoral administration at appointment. NYC mayors have pendulum'ed a lot on crime over the last 30 years. 1/

I'm embarrassed to say I saw this story because it was hyped up in Yale's "Yale Today" daily campus-wide email. Linking to Dale and Kreuger (2002) as a palate cleanser:
www.jstor.org/stable/4132484