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Cake day: June 14th, 2023

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  • That is kind of the point or the parable, right? But the parable wasn’t ‘othering’ them, it was showing how their background/race/religion/heritage isn’t what made them ‘good’ or ‘bad,’ it’s their actions that matter.

    Society at the time already encouraged people to think of Samaritans as the other and to look down on them. The parable tells of an injured, vulnerable traveler in a time of need. Many Jews, members of high society, etc. (people normally thought of as 'good) walk by and ignore the man. A Samaritan passes by and offers aid. Of all the people who walked by, only the Samaritan is worthy of heaven. The moral is that anyone can be a good person by helping others…the kingdom of heaven is open to all, not just the Jews, and that your actions/the way you live your life is more important than what you call yourself, what tribe you belong to, who your parents are.

    It’s one of the most basic messages in the Bible. It is clearly anti-racist. It promotes helping others above all else. And somehow modern Christians seem to miss the point completely.







  • frosty99ctoLemmy Shitpost@lemmy.worldFeelin free
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    28 days ago

    It’s insane. And any attempt to argue against it is shut down immediately. This post (https://mkorostoff.github.io/1-pixel-wealth/?v=3) is one of the most digestible things I’ve seen for the scale at which those people hoard wealth. It’s so easy to follow and understand how the world could be better if those people didn’t exist. But anyone I try talking to says “oh I’m not going to read all that” or “scrolling through that will take too long” …which is exactly the fucking point. And this is from 4 years ago! Their wealth has only increased while our buying power has gone down.




  • frosty99ctoScience Memes@mander.xyzBack to the grind.
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    2 months ago

    You’re talking about data that doesn’t back the initial hypothesis. That isn’t bad data in this context, and you’re correct that it is still valuable for reforming hypotheses and re-running the experiment.

    Bad data in this context is referring to data quality - things like inconsistent collection, inadequate/missing data, free text vs controlled input, etc. In those cases the data can become almost useless (and this is usually known by the people working on a project but not necessarily by their management). This causes pressure to turn shit into gold when that just isn’t possible.

    Imagine that your boss wanted you to predict what the temperature will be next Tuesday. In order to do this, your company has provided you the temperature from every Tuesday for the past 12 years. If that wasn’t bad enough, at first they recorded the date in DDMMYY format but 10 years ago they switched to MMDDYY. However, some records were still collected in the legacy DDMMYY format due to lack of training in the temperature collection department, and there is no way to distinguish the correct date. Also, one employee who was close to retirement only collected the temperature as “Hot” or “Cold” because that is how he was trained to do it when he was first hired 50 years ago and he never bothered to learn the new system. Now, you can probably build a model that tracks weekly temperature over time and approximates the next Tuesday’s temperature based on something like seasonality, the historical average, and the most recent Tuesday. But you’ll know that it’s not the best estimate, you’ll know there is way better data out there, and you’ll probably be able to make a simpler, more accurate estimate just by averaging the temperature from Saturday/Sunday/Monday.

    That’s bad data.