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Cake day: June 1st, 2023

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  • You do have to earn at least minimum wage as a waiter if your tips don’t add up with your wage to at least $7.25 hourly, though (higher if your state/locality has a better minimum wage). That said, $7.25 is a poverty wage and wage theft exists. Ideally this would be solved with an appropriate minimum wage and decent pay for waitstaff/kitchen staff.


  • Brazilian Jiu Jitsu has been very useful to me. My cardio has improved dramatically, I am much stronger than I used to be, and I’ve gotten a lot of enjoyment out of going from absolute trash to slightly less trash over 2 years.

    But I don’t expect it to really help me in a fight. If I did get into a fight, I certainly would do better than if I hadn’t trained; but one thing I’ve learned from fighting people for like 8hrs a week is that it is REALLY easy to fuck up and get hurt in ways you wouldn’t expect. The outcome of a fight is unpredictable - especially when the other person could have a weapon. The best martial art for self defense would be running.





  • If you’re actually serious, literally just google voter turnout numbers in texas. Also look at how close some races were and compare that to the nonvoting registered voter population. I’ve seen several analyses of that recently

    Here is the TX government record of voter turnout: https://www.sos.state.tx.us/elections/historical/70-92.shtml

    Here is the TX government reporting of election results: https://www.sos.state.tx.us/elections/historical/presidential.shtml

    2020 Presidential: 66% turnout, 52% of the VAP (voting age population) voted. Trump won by 600k votes, 4.5M of VAP was not registered.

    2018 Senatorial: 53% turnout, 42% of VAP turned out. Ted “I posted incest porn on twitter on 9/11” Cruz won by 215k, 4.1M of VAP was not registered.

    2018 Gubernatorial: 53% turnout, 42% of VAP turned out. Abbott won by 1.1M, 4.1M of VAP was not registered.

    2016 Presidential: 59% turnout, 46% of VAP turned out. Trump won by 800k votes, 4.2M of VAP was not registered.

    2012 Presidential: 59% turnout, 44% of VAP turned out. Romney won by 1.2M, 4.6M of VAP was not registered.

    2008 Presidential: 60% turnout, 46% of VAP turned out. McCain won by 900k, 4.2M of VAP was not registered.

    2004 Presidential: 56% turnout, 47% of VAP turned out. Bush won by 1.7M, 3M of VAP was not registered

    2000 Presidential: total blowout for Bush, no two ways about it. He might have plunged us in to a 20 year long war and completely ravished innocent civilians in the middle east, but dont you just want to have a beer with the guy?

    Why people aren'tregistered source 44% do not care, 27% intended to register but didn’t, 11% are paranoid about voter roles, 9% say it isn’t convenient (and Republicans sure have made it inconvenient), and 6% literally don’t know how to register. From that same article and polling data, 35% of unregistered voters do not believe their vote will affect the political process, and 30% don’t think it’ll change election results. AND 40% of these care who wins political races, but don’t vote.

    These races are not close compared to the number of non-registered VAP. Young people are more left-leaning and show up to the polls at shockingly low rates. Minorities are typically more likely to vote Dem, but turn out at lower rates (partially due to disenfranchisement). If the non-voters voted, many races of the past 30+ years would’ve been close or Dem.



  • ALoafOfBread@lemmy.mltoGreentext@sh.itjust.worksAnon doesn't like reddit
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    24 days ago

    4chan, in part, ruined real life. So much of the initial meme buzz around Trump came directly from 4chan - god emperor, etc. /b/ and /pol/ had large coordinated campaigns to boost Trump for lulz and to fuck with people. These made the news occasionally and were sometimes quite wide-reaching. Edit: not to forget Qanon, pizzagate, etc.

    Additionally, 4chan is responsible for a massive swathe of meme culture more broadly. Most people don’t dredge its depths or even know “the hacker named 4chan” exists, but it has been a massively influential force.





  • Guitar: as a kid I just thought it’d be awesome to shred. Now I mostly play acoustic fingerstyle, but shred some. Interest has ebbed and flowed over the years, but been playing forever.

    Brazilian Jiu-Jitsu: I wanted a challenge and to get good at something new. It’s hard, but I like it and just keep coming back. Been doing it for a couple years and am a blue belt.

    Hiking: did it as a kid, now I do it with my wife who pushes me to hike more than I would otherwise which is good

    Tech stuff: coding, piracy, stuff like that. Dad was in IT and taught me to look for solutions with tech. Never stopped. I’m not a fantastic coder, but use it for work and also to solve personal challenges, enter piracy.





  • ALoafOfBread@lemmy.mltoLemmy Shitpost@lemmy.worldNo thanks. I'm good.
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    1 month ago

    I’ve seen many more coffee folks who have opinions ranging from “it doesn’t taste different than the local coffee” to “it tastes downright bad”. James Hoffmann has a good video on it: https://yewtu.be/watch?v=pkbuFwHnJQY

    Primary thing seems to be the quality of the coffee cherries the civet eats. So if it’s just force-fed coffee cherries, it’ll be no better than normal coffee. If it gets to choose on it’s own, naturally, then it may pick better coffee cherries and the coffee may be better - but not because of the digestive process, most likely.



  • I mean… maybe in this case? I feel like profile/picture based matchmaking is something an ML model could be pretty good at in theory. Match people based on physical preferences and attractiveness (get head scans and frontal & profile full body shots), basic demographic/location/financial info, fill out a questionnaire with hobbies, political views, sexual preferences, etc.

    Do that for groups of satisfied pre-existing couples first to train the model on, then continue training the model on the successful matches from the app. Have it spit out X number of matches that have the highest ratings for all users, limit it to X matches per time period to limit “swiping” behaviors, then let users talk/date and provide feedback to the app about what they did/didn’t like.

    Obviously, it would need major privacy protections given how sensitive the info is, but that’d be a way better system than Tinder and the like. Like a super powered robo matchmaker serving up the highest probability matches.



  • It’d probably be the opposite. I bet they’d charge more to specific demographics - and common convenience store beverage brands would probably cost more for poorer people.

    Plus, without controls, they’d probably end up charging different ethnic groups more for specific goods - they’d probably obfuscate it somehow, like to charge white people more for something they’d probably say they were doing it because you’re a model train enthusiast or something. Or like “our consultants have told us that Tejano music fans are willing to pay a premium for coca cola” and so they jack up the price of coca cola for Mexicans without saying it’s because they’re mexican.

    But yeah, I bet poorer people who have less free time would be “willing” to pay more for essentials because they often have less choice in where they get groceries. In other words you could force poor people with fewer options to accept jacked up prices whereas non-poor people may have the luxury of shopping around or paying someone else to get their groceries.

    Also, if poor people were charged less there’d be a whole industry of personal grocery shoppers who’d get discounted prices for rich people and charge them a service fee in exchange.