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Cake day: July 4th, 2023

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  • If I was guessing, in general, I think people who advocate for a pure meritocracy in the USA feel the world should be evaluated in more black and white, objective terms. The financial impact and analytic nature of STEM and finance make it much easier to stratify practitioners “objectively” in comparison to finding, for instance, the “best” photographer. I think there is also a subset of US culture that thinks that STEM is the only “real” academic group of fields worth pursuing, and knowledge in liberal arts is pointless -> not contributing to society -> not a meaningful part of the meritocracy. But I’m no expert.


  • As a general rule, yes. People who are able to better perform a task should be preferentially allocated towards those tasks. That being said, I think this should be a guiding rule, not a law upon which a society is built.

    For one, there should be some accounting for personal preference. No one should be forced to do something by society just because they’re adept at something. I think there is also space within the acceptable performance level of a society for initiatives to relax a meritocracy to some degree to help account for/make up for socioeconomic influences and historical/ongoing systemic discrimination. Meritocracy’s also have to make sure they avoid the application of standardized evaluations at a young age completely determining an individual’s future career prospects. Lastly, and I think this is one of common meritocracy retorhic’s biggest flaws, a person’s intrinsic value and overall value to society is not determined by their contributions to STEM fields and finance, which is where I think a lot of people who advocate for a more meritocracy-based society stand.






  • 4th year medical student. AI is not ready to be making any diagnostic or therapeutic decisions. What I do think we’re just about ready for is simply making notes faster to write. Discharge summaries especially, could be the first real step AI takes into healthcare. For those unaware, a discharge summary is a chronological description of all the major events in a patient’s hospitalization that explain why they presented, how they were diagnosed, any complications that arose, and how they were treated. They are just summaries of all of the previous daily notes that were written by the patient’s doctors. An AI could feasibly only pull data from these notes, rephrasing for clarity and succinctness, and save doctors 10-20 minutes of writing on every discharge they do.