PS there’s a (mildly) updated version available now: osf.io/g4s2a_v2

We can innovate with new setups though instead of having it be academic / rigorous (with heavy caveats for that adjective) vs data bloggers. Having a reproducibility norm would be critical to such a new setup.

I will insist on maximizing interaction terms on both platforms

Hey I'm no consultant

St Louis and Baltimore show up as the same point because they both went exactly from 74 to 56 in raw counts, which yields the same raw % decline and model predicted underlying % decline.

7/ A series of errors create an illusion of statistically significant treatment effects of similar size in the five strategies. Examples include changing/adding/removing variables in regressions, using incorrect bandwidths, and changing clustering methods.

1/ The paper claimed that the reform caused a jump in rape by 50–60 percent. This seemed hard to reconcile with the flat time trend in reported rapes around the time of the reform.

Jeet is wrong about fighting inflation hurting growth tho

You still only have N=1 per unit of the running variable when its cohort, once you consider the hierarchy. Again refer to the survey example: even if you have a measure with 10,000 respondents per unit time, that doesn't negate the issue that you only have one unit of time per unit time.

It's similar to using really large surveys for a pre-post comparison. Yes you're increasing the N literally in a tabular sense, but you still effectively have a few data points across time that you're measuring with more and more precision as you jack up N.