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Joined 7 months ago
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Cake day: July 13th, 2025

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  • I really like this analogy, but the biggest one to me is the intentionally addictive nature of the media and information it provides. Like the specifically targeted nicotine hits smoking provides designed to be addictive, phones sooth, stimulate, and distract in new and yet similar ways leveraging cognitive biases and physiology. They also fuck up your mind and body in screwing sleep cycles, changing your attention threshold, and probably more. Might not be as bad as cancer, but they still have an impact.


  • Obnoxiously written article. The answer:

    Why have deaths from falls, on an age-adjusted basis, risen? There are at least five possible reasons.

    First, some of the increased deaths from falls may be due to prescription medications. Numerous prescription drugs, such as many antidepressants and psychotherapeutic agents, are labeled as fall risk-increasing drugs.

    Second, some of the increased deaths may be due to rising alcohol consumption.

    Third, it may be due to increased rates of obesity.

    Fourth, some of the increase may be due to changes in reporting. As people have become more aware of the danger of falls, falls that used to not be recorded as a cause of death may increasingly be reported as a cause.

    Fifth, some of the increase may be due to fewer deaths from other causes.

    Fifth being a similar number of a small amount increases percentage.


  • Beyond my frustration at this being buried in a video podcast, I also would rather promote why people should be worried about privacy in a concrete and direct way.

    The Cascading Impact of Privacy Loss

    Concrete Example: A 10-Year Timeline

    Year 0: You’re a healthy middle-class person who “has nothing to hide”

    Year 3: Your insurance premiums inexplicably rise. You don’t know your fitness tracker data was sold and correlated with your grocery purchases.

    Year 5: Passed over for promotion. Algorithm flagged social media posts about work stress as “low resilience indicator.”

    Year 7: Attend peaceful protest. Face-recognition adds you to databases. Now randomly selected for “additional screening” at airports.

    Year 9: Can’t get affordable loan. Your zip code + purchase history + social network = high risk score. The specific formula is proprietary.

    Year 10: Chronic condition develops. Can’t get treatment covered - insurer says it’s “pre-existing” based on data you didn’t know they had from a DNA test you took for fun in Year 2.

    Your lifespan: Statistically reduced by 5-10 years compared to privacy-protected cohort.


    Privacy isn’t about “having something to hide.” It’s the immune system of human dignity, economic fairness, political freedom, and literally - survival.

    Without it, you become a data object to be optimized for others’ profit and control, not a human with agency over your own life.