Such a metric of success may introduce a conservative incentive, no? E.g. where are you more likely to deviate all else equal: Doing a field experiment in a war torn country, or with grad student at Yale? Which would you choose if you wanted to minimize deviations?

Here is one example onlinelibrary.wiley.com/doi/abs/10.1...

My motivation comes for something I wrote a while back. See the section entitled "Move fast, break (little) things" in this blog post www.fernandomartel.com/post/politic...

Value of Information for deciding what initiatives to experiment on, and inform experiment design?

TIL the auto save feature only works if you have a OneDrive account and the file is in a OneDrive folder.

"Growth teams" need to drive M365 subscriptions!

Even If you have a subscription, if you are working on an Excel file shared by a client in a Dropbox folder, Auto save won't work. 🤦‍♂️

A big confounder here is age. E.g. the population of Barcelona is much older than that of LA. Would be good to plot death rates by age cohort across cities .

For the sake of argument:

If the test is a good predictor of job performance, and they can ace the test with AI, should they also not be able to ace the job with AI?

Maybe the problem here is that using AI is consider cheating?

No doubt things have improved, and continue to get better.

But ten years ago I doubt you would have gotten those responses....

*AJPS

10 years ago or so AJOS had an official editorial policy of not accepting unsolicited rejoinders or replications.

Of course, many replications of positive findings are likely to be null.

Not sure if that policy has changed but to me it was a major red flag for political science, as a science.

Many follow scientists for their science, not politics. I wish there was a community norm to label political posts #political. That way users can filter out politics, and scientists can freely express views without fear of losing followers. It's a win win.

Many follow scientists for their science, not politics. I wish there was a community norm to label political posts #political. That way users can filter out politics, and scientists can freely express views without fear of losing followers. It's a win win.

Adding a Public Choice perspective....

The question is a little unclear: What if you compare the means of rank transformed data?

Wasn't there a time when IV was all the rage?

Reminds me of Tim Berners-Lee vision of the Semantic Web (plus a sprinkling of Robotic Process Automation).
en.m.wikipedia.org/wiki/Semanti...