Kevin M. King
@kevinmking.bsky.social
6.1K followers 800 following 1.5K posts
He/him. Something something Self control and quant methods. Professor of Psychology at University of Washington. All opinions are my own and correct. Co-host of https://thatimplementationsciencepodcast.podbean.com/ https://faculty.washington.edu/kingkm
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Reposted by Kevin M. King
edzitron.com
Premium: The AI Bubble's promises are impossible. NVIDIA's customers are running out of money, GPUs die in 3-5 years, most 1GW data centers will never get built, and OpenAI's Abilene data center doesn't won't have the power it needs before 2028 - if it ever does.
www.wheresyoured.at/the-ai-bubbl...
The AI Bubble's Impossible Promises
Readers: I’ve done a very generous “free” portion of this newsletter, but I do recommend paying for premium to get the in-depth analysis underpinning the intro. That being said, I want as many people ...
www.wheresyoured.at
kevinmking.bsky.social
Give America Ebola again.
joshuasweitz.bsky.social
"Roughly 70 Epidemic Intelligence Service officers — the so-called “disease detectives” who respond to outbreaks around the globe — received layoff notices"

There is no 'make healthy' objective here, but there will be costs and consequences, to readiness, safety, and lives.
sherylnyt.bsky.social
FULL STORY HERE: Emails began flooding CDC inboxes late Friday night announcing dozens of layoffs. HR people brought back from furlough to oversee the RIFs. Disease detectives, entire Washington office, global health, injury prevention, MMWR staff among those hit.
www.nytimes.com/2025/10/11/u...
Reposted by Kevin M. King
crampell.bsky.social
Per CDC source: At internal leadership meeting this afternoon, it was shared that 1,257 people were RIF'd at CDC. Number may not be final. Apparently, chief of staff was unaware that RIFs were going to occur so not clear who is making decisions. (Short 🧵)
Reposted by Kevin M. King
jedbrown.org
Needless to say, an LLM cannot reliably determine whether a source supports a given claim, just as it cannot determine whether a claim is true. This will automate generation of documents that make false claims, with citations that exist and may, on superficial reading, support those false claims.
Reposted by Kevin M. King
virginiagewin.bsky.social
Journalist here

I’m interested in talking to a federal agency scientist who was fired, then rehired. I can keep you anonymous. I’m on Signal ginnyg.04

Reposts are appreciated!
Reposted by Kevin M. King
cdelawalla.bsky.social
RIF UPDATE:

We @standupforscience.bsky.social are in communication with our network. So far, we have not heard of any actual RIFs, only Russ’ tweet.

To press—we will send a release and facilitate interviews if we do hear abt them taking place.
kevinmking.bsky.social
Those fuckers.
sherylnyt.bsky.social
BREAKING: Friday night massacre underway at CDC. Doznes of "disease detectives," high-level scientists, entire Washington staff and editors of the MMWR (Morbidity and Mortality Weekly Report) have all been RIFed and received the following notice:
kevinmking.bsky.social
Totally. Seattle is spoiled by the constant winning ways of the Sounders. They're just not used to losing.
kevinmking.bsky.social
Your hands probably died waiting for the Bayesian model to converge.
kevinmking.bsky.social
It turns out the imputation does matter, BUT the method (Bayesian versus frequentist) doesn't. Unfortunately for me and the months I spent running the brms code!
kevinmking.bsky.social
@charlymarie.bsky.social , you were right. I'd messed up the plot code.
kevinmking.bsky.social
Reposting to show how I'm a moron, but differently than I thought.

Imputation does change things (estimates, but interestingly not really CIs). And the choice of glmm versus Bayesian doesn't matter tremendously (except that the latter takes orders of magnitude longer to run).
kevinmking.bsky.social
But currently triple checking this because maybe something is wrong.
kevinmking.bsky.social
Yeah I noticed that and checked.

It's a big GLMM with something like 9K observations from ~430 people when not accounting for missing, and 15K observations from ~500 in the imputed data. So it's possible the differences in CIs are just quite small.
kevinmking.bsky.social
Especially when the effort does not produce a noticeable improvement.

It would be like if someone showed that MLR handled zero-inflated count data as well as a proper model. I'd just quit and go farm sheep.
kevinmking.bsky.social
I think this all just shows us that quant psych folks lie.
kevinmking.bsky.social
Months, Andrea. I mean, much of that and as avoidance but still
kevinmking.bsky.social
(but thank you for the ggtip() )
kevinmking.bsky.social
SOLOMON YOU ARE MISSING THE POINT HERE
kevinmking.bsky.social
That feeling when you spend six months struggling to implement Bayesian GLMMs with imputed data only to find that the observed vs. imputed data analysis results are identical.

Yes, I am a moron.
Reposted by Kevin M. King
kevinmkruse.bsky.social
The same people who insisted devout Catholic Joe Biden was leading a “war on Christianity” are now cheering Trump on as his armed goons assault clergymen.
thetnholler.bsky.social
WATCH: Trump’s lawless Ice goons shoot an unarmed priest in the head with a pepper ball. Completely out of control.
Reposted by Kevin M. King
irahyman.bsky.social
A Just Asking Questions Effect for spreading false information.
This thread is an overview of my lab’s research that I presented at Psychonomics this morning. #psynow24

TLDR: Getting people to generate their own false answers leads them to believe that info. 1/
Just Asking Questions: Can an Implication Generate an Illusory Truth Effect?
Ira E. Hyman, Jr., Jasmine Balmelli-Morales, Macallan Enns-Ford, Annika Fiala, Zoe Gadbow, Macy Kneipp, Isabel Nguyen, Gwen Pane
Western Washington University

Madeline Jalbert
University of Washington
kevinmking.bsky.social
It's so funny what kids develop as their likes/dislikes. My daughter loves garbanzo beans and avocado, but my son hates beans in all forms. They both love ramen and pho (because duh), and hate potatoes unless they're deep fried.