Thank you @atheendar.bsky.social ! This is work led by @davidbann.bsky.social Very keen to receive feedback and for others to use the database/code that we have put together. They are all accessible on David’s GitHub: github.com/dbann/policy...

This made my day.

This is such a great point. One thing I've learned from Manski and reading about partial ID is that wide bounds are informative -- they tell us we need better data.

2/ The quest for #relevance and #impact meet Manski's Law of Decreasing Credibility.

Apparently current attacks against science are being used as an excuse to not reflect on our role in this mess.

I hope these findings can spark a discussion we sorely need to have about credibility, trust, etc.

In one case they did, but in the other two it was either unrelated to the actual design and finding or just ornery.

But it seemed odd to hear it. All three papers were ones I sat on for years before releasing. It makes me wonder if I am focused on the wrong stuff.

Some combo of the findings can't be right and the data don't lead to the conclusion I think it does and the research design is flawed.

Everything is "fascist" on this site.

Oh yeah!!

2/ The #daily #diet of #doom -- and the purveyors of such a diet -- introduce a real cost.

We can't even recognize and celebrate wins.