We also found that people often endorse general rationing policies that contradict the specific choices they would make when presented with hypothetical patients. They also prefer not to incorporate factors like patient race, sex, education, and income when creating a policy.

We found that people's choices of which patient should get a treatment can be influenced by the presence of irrelevant extra patients (an example of the attraction effect). This occurred for both laypeople and clinicians when considering ventilator assignment.

Please have a look at our Geisinger Program Evaluation (GPE) job advertisements, and consider applying yourself—or distributing our ads to anyone you think might be interested. (2/2)
GPE Associate Director:
michellenmeyer.com/uploads/2/2/...
GPE Staff Scientist:
michellenmeyer.com/uploads/2/2/...

Can is a great guy with infectious enthusiasm and I highly recommend his Youtube videos, as well as his unique series of Chessable courses, for anyone interested in getting better at chess.

I guess the title of Chiraag's report gives away the result! But it's a good read anyhow: chiraaggohel.com/posts/llms-e...
Original Yanai & Lercher 2020 paper: genomebiology.biomedcentral.com/articles/10....

Now that LLM-based AI tools can analyze data on their own, @chiraag.bsky.social decided to test whether they notice the gorilla, or whether they also seem to experience inattentional blindness—like humans who fail to notice the "invisible gorilla" that @profsimons.bsky.social and I wrote about ...