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Joined 1 year ago
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Cake day: June 9th, 2023

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  • You can always use examine.com to start base level research on most substances. It tries to cover the most common questions and link the research papers most relevant to that question if available. Excerpt below, but I recommend scrolling through the whole page. It also discusses maximum safe daily levels, toxic levels, and symptoms when you exceed those levels.

    Fluoride (from drinking water, supplements, tea, or dental products) is absorbed by the small intestine, and about half is excreted via the kidneys. Absorbed fluoride in the blood can bind with apatite in bone and teeth, becoming fluorapatite. Blood and bone concentrations of fluoride are in equilibrium and are impacted by bone remodeling activity and age.



  • Option 3 is the only one that seems sustainable long term. Donations will NEVER keep up with user growth, thus storage costs will balloon out of control.

    Completely avoiding any chance of illegal content touching the servers should immediately have everyone agreeing on this option. I doubt anyone here is willing to foot legal bills and as such even minor legal actions would be the end of this instance.

    Privacy is nice but ip logging is the simplest form to “protect” against with even a free VPN. If those claiming privacy concerns here aren’t already using a VPN and are depending purely on lemme.ee’s proxy then their internet hygiene needs an update.

    As for usability, the image being deleted from external provider presents the same issue to the user between option 2 and 3. The cache from option 2 will inventually get cleared and it’ll fail to pull a fresh copy if deleted from the external hosts.



  • It was disappointing to go through the saga of thinking I found a semi reliable podcast regarding health and current research, to finding some weak episodes, and finally arriving at the conclusion that his methodology is sloppy at best. The Dr Lustig episode was especially egregious. He let that guy make some of the most outlandish claims that I’ve heard. He made up statements about how FDA nutrition labels are required which was easily dismissible by a quick look at the FDA website. That was more or less the final nail in the coffin for me.

    The biggest indicator to the scientific weakness of his podcast is the rate of release. It is not possible to do weekly releases on the complex topics he covers AND maintain the level of scientific scrutiny required to vet the referenced research or guest.





  • I’ll also add that spending habit data is very valuable in terms of advertisement. We are in the age of very targetted advertisement. Just a random example: *user14555* on our T-Mobile app eats at a restaurant for lunch every Thursday. Have the app pop-up with a coupon from one of our participating restaurants on Thursday morning.

    Restaurant will pay or give exclusive coupons to T-Mobile in exchange for these benefits. T-Mobile then hopes to entice more users by listing their app and “exclusive coupons” as unique benefit to using them as a cellphone provider. All the major providers have more or less settled at similar prices for cellphone plans so they lean on these extras as marketing tools.


  • I dig through the paper and the study literally looked at two sectors and job types. So let’s just extrapolate that too all workers right 🙄

    “Remote working appears to lower average productivity by around 10% to 20%. Emmanuel and Harrington (2023) use data from a Fortune 500 firm which had both in-person and remote call centers pre-pandemic. The firm shifted all workers to fully remote in April 2020 at the onset of the COVID-19 pandemic. Using the always remote call-centers as the control group they find an 8% reduction in call volumes among employees who shifted from fully in-person to fully remote work. Gibbs, Mengel and Siemroth (2022) examine IT professionals in a large Indian technology company who shifted to fully remote work at the onset of the pandemic. Measured performance among these workers remained constant while remote but they worked longer hours, implying a drop in employee productivity of 8% to 19%. Atkin, Schoar, and Shinde (2023) run a randomized control trial of data-entry workers in India, randomizing between working fully in the office and fully at home. They find home-workers are 18% less productive.”