A good primer on the more entangled problems with this sort of trash science aka lacking epistemic soundness by Mel Andrews, @abeba.bsky.social, @andrewthesmart.bsky.social on www.cell.com/patterns/ful...

The Provost’s Office (who is basically the vice president of the university)

After 19 years in the #CSU system, this type of unilateral decision-making from the Chancellor's office is nothing new. Oh, and, there is no actual plan to teach/train faculty on how to implement or use it; it's a unilaterally imposed "choose your own adventure" with no one's consent. 🫠

So, more of an implicit vetting

Another thought occurs that it may be difficult to find a statistician vetting effect size only because, in my convos with math statisticians, many see effect size as a solely descriptive stat—which is why its discussion with power analysis (and the p-value logic) is more interesting to them.

I don’t have the first citation, but by 2001, effect size and power analysis was well accepted—and one use critiqued—by statisticians (esp. biostatistics). See Hoenig and Hessey in American Statistician community.jmp.com/kvoqx44227/a...

Inclusivity is the goal for all our work, so know that we are currently analyzing data from U.S. cis queers and trans folks (binary and nonbinary) on responses to this scale! Be prepared for an update to this work! And, please use it as a touchstone for work outside the U.S.!

The very same Charlotte Tate who now has a BlueSky account! :)

I don’t think it’s inevitable. Instead, so many accounts that left X/Twitter for this platform named this platform and even posted how-to directions for finding contacts on here from X. So, I think it was simply the bots, the anti-intellectuals, and conservative networks used that info to migrate