Note that the BBC openly admits in an email to me that the removal of this claim about Trump's world-historical corruption was done "on legal advice."

Translation: Trump's threat of a lawsuit, no matter how bogus, has now been rewarded.

newrepublic.com/article/2036...

Congratulations!

So you're saying Gen AI isn't helping your productivity? :)

You've generated an example to haunt diff-in-diff believers

And it would be even more credible imo without the gap, even if it looks approximately additive

OK but maybe you find the point persuasive that past coverage of internal research has been actively misleading about what we can conclude from it, so we might want to cautiously interpret new claims about what such research shows

I'm a big fan of actually plotting unnormalized trends of the treated and control groups. So often diff-in-diff is leaning really heavily on parametric assumptions to extrapolate. cf statmodeling.stat.columbia.edu/2023/08/22/t...

The cited survey data had more teen girls saying
Instagram made them feel better than worse...

Would be interested to learn more... Like this prior headline was based on research that was quite ambivalent.

Maybe useful to compare with papers.ssrn.com/sol3/papers.... which does have some discussion of effects you might expect under different, changing economic conditions

Factor analysis and varimax have been widely misunderstood among statisticians. Two years ago, Muzhe Zeng and I had a discussion paper at JRSS-B that tried to clarify why factor analysis and varimax were actually decades ahead of their time

It’s free (with discussion) here:
doi.org/10.1093/jrss...