I write a blog that focuses on public information, public health, and policy: https://pimento-mori.ghost.io/

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Joined 1 year ago
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Cake day: June 24th, 2025

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  • Propaganda has done a really good job somehow convincing people that DEI was about exclusion at the expense of meritocracy rather than inclusion at that expense of nepotism.

    Then the people that fall for it are so quick to point out “well why does it seem like there’s way less resources to go around?” instead of asking why are so many resources being hoarded by a small group of individuals.

    And please don’t get me started on darwinism/survival of the fittest BS. As if we didn’t realize long ago the “superior bloodlines” of many inbred resource hoarders left them at risk of being taken out by papercuts.

    So how do the Monte Burnses of the world survive to such frail old age? RESOURCE HOARDING!!!





  • I mean, like everything, the ultimate goal is privatize, control/eliminate competition and profit via exploitation.

    Nobody chooses academia over industry for the money. They do it so they’re not forced to compromise their values under the thumb of some micromanaging nepo baby demanding results they want to believe no matter what the data actually says. Investors not inventors.

    If you get rid of publicly funded research, you leave a lot of talented scientists with no choice. It’s either industry, leave the country, or leave science entirely and start a new career.

    And keep in mind, this is in addition to what OMB already proposed to do to all federal funding. Maybe they plan to hand Republicans a get out of jail free card by actually stopping the Vought/OMB proposed changes to federal grants just before the deadline in October, then achieve the original goal anyway after the midterms.










  • He believes the new Digital Cancer alley he’s creating via a $50B Meta Data center means no longer having to rely on New Orleans. Not an unreasonable scheme.

    But the success vs becoming a $50B hole in the ground seems to depend in large part on the ability to provide better data for better AI training and then sell that data to other corporations who then sell those products to the public.

    Which depends on being able to continue to further exploit people and communities (such as New Orleans) in the form of harvesting data for the data center to sell.

    So if people in communities (such as New Orleans or anywhere in LA) were to say, idk “fuck you pay me” instead of allowing their data to be exploited, it could create quite a pickle in terms of the state no longer needing to depend on money generated by New Orleans for its own economic success…



  • Exactly, so why not demand ownership of our data?

    When you look at data sovereignty in indigenous communities people are already establishing ways to do this.

    What’s even more concerning than social networks, jobs, daily commutes, shopping habits, sexual preferences, political views etc. is health data. Not only is that extremely private, corporations recognize the monetary value is incredibly high.

    https://www.statnews.com/2025/01/16/health-ai-electronic-health-records-hipaa-deidentified-data-market/

    Artificial intelligence models are ever-hungry black boxes that need boatloads of bits and bytes from a wide stream of real-world data in order to produce insights about patients and their care. To satisfy this need, a trove of companies have popped up to buy patient data from hospitals and sell it to those wanting to train AI or do research.

    https://www.sciencedirect.com/science/article/pii/S2667321525001775

    In today’s digital era, data has evolved into an invaluable asset often described as the new oil making its governance especially consequential for Indigenous communities. Indigenous Data Sovereignty (IDSov) affirms the rights of Indigenous peoples to govern, control, access, and benefit from data that derive from their peoples, lands, and knowledge systems (Carroll et al., 2020). This principle has direct implications for population health because data governance influences how priorities are defined, how prevention and care strategies are implemented, and how health outcomes are assessed across communities (Rhodes et al., 2023). A long history of exclusion from decisions about data collection and use has produced exploitation, misrepresentation, and persistent mistrust in data-driven health initiatives (Fox, 2020; Mello and Wolf, 2010).

    There are some models of data sovereignty where people are being given direct control of their health data, and it cannot be legally used for anything without their permission. Even if it’s granted permission to be used once for a certain piece of research, it’s then locked away again afterwards.

    There’s also examples where people are paid directly/individually for allowing access to their data.

    Imagine the value to be leveraged by people if all data (civic, digital, health) was locked away from corporations. And not sold, temporarily leased to whoever individuals or communities choose to lease if to.