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Joined 1 year ago
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Cake day: July 18th, 2023

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  • Oh, I mean the guy himself. I know two women who knew/worked with him.

    I always took Paradise as more funny than creepy because I interpreted it as a parody of stereotyped guy/girl behaviors and agendas rather than advocacy, but the guy himself wasn’t someone you’d particularly want to see your sister dating.


  • Seventeen is also easier to fit into lyrics. Dancing Queen by ABBA. Sexy + 17 by the Stray Cats (although the song was about ditching high school classes). At Seventeen by Janis Ian (who was singing about herself at 17). Paradise by the Dashboard Light by Meatloaf (again about both being high schoolers, but he’s a bit of a creep anyway).

    I might be giving my age away here.






  • You’re right, but it depends on how you want to think about it. They’re not necessarily graded on a curve, but with standardized tests you usually have both a history and a design target. They’re intended to produce (for example) a normal curve with a specific mean (eg mean IQ = 100) and they’ll adjust the test year over year to keep within those bounds. In other words, the grades don’t change but the test does.

    Curves exist because failing 90% of your class is a really bad look.


  • I’ve been graded on a curve, and I’ve done it myself a couple of times. IMO, it’s usually a sign of a bad class (too much material being crammed in) or a bad teacher (didn’t get the concepts across to the majority of the students).

    That said, it’s usually done when it’s needed to prevent a significant portion of the class from failing. I remember a chem exam I took where a 16/100 was a C.

    The basic idea is that grades are normally distributed (ie a bell curve) which allows you to find the average grade range and shift the letter grade (eg a C or C+). There’s some professors who take the idea too far and rather than working off of an actual normal distribution try to fit the procedure to a simply skewed distribution or use it to pull down an 85/100 to a C, but in my experience that’s the exception to the rule, especially in math/science courses.

    Also, iirc this is a parody account.


  • There’s a tsunami of layoffs in the gaming community, and in tech in general. A lot of the time, it’s entirely unjustified as the positions being laid off are often quickly put on the market again, and it’s usually not the top engineering talent (the most expensive) because they’re harder to replace. It’s often focused on lower tier jobs/support teams, and the cost of re-filling a position (sourcing, interviewing, hiring, training) would far offset any kind of salary reduction. It’s like the tech management version of a Michael Scott vasectomy.

    I wish someone would compile a list of companies acting in extraordinary bad faith so I could consider that when making purchase decisions.


  • I do this for a living. Seasonality as a generic term refers to temporally periodic signals but can even be extended to talk about non-temporal aspects of a signal. The same math used in areas like econometrics to remove periodicity in annual data can be applied to multiple domains. The main motivation to removing or isolating periodicity is to allow for investigation into the underlying phenomena, or to allow the investigation of the sources of periodicity independently of other drivers. In every case, though, seasonality is an acceptable term in everything I’ve written, read, and worked on.





  • There’s entire branches of research on this, but I think one of the easiest ways to approach it for starting out is to think of the word “womanly.”

    having or denoting qualities and characteristics traditionally associated with or expected of women.

    I would strike the word “traditionally” from that definition since we’re talking about a comparative and differential analysis and concentrate on the “qualities and characteristics” part. Although most people in the US today wouldn’t think of it this way, imagine the perception of a woman army officer commanding male troops in 1845. You can take the same approach when looking through history or across cultures. What roles, qualities, and characteristics are associated with “women” and how do they differ and evolve?

    There’s some complexity when you get into the details - indigenous cultures change when they come into contact with, say, colonialism, and the people who studied them might themselves be observing through their own prejudices. History is replete with examples of British colonialists being unable to properly deal with things like the egalitarian democracies of the northern indigenous peoples or the matriarchal social structures. Picture the used car dealership where the salesman still insists on engaging with the man even though it’s the woman buying the car.

    Semantics is the study of the meaning of words, and semiotics is the study of symbology. When we’re talking about these things, we’re talking about how the ideas and symbols associated with the idea-token “woman” differ.

    The reason why this is important is that this is the crux of the transphobic argument. Their argument is cultural, not biological (although like I said, even their biology is sketchy).

    I think a great study that includes cross cultural anthropological analysis of the role of women, as well as politics and economics, is David Graeber’s The Dawn of Everything.



  • Biologist here. The main problem with this argument is that Rowling is trying to win her argument through scientizing, and is not only doing it in an inept way, but in a way that’s completely ironic.

    She’s invoking biology, but infortunately she’s adopting an approach that incorporates a high school level of biology. When we start teaching science, we start with highly simplified presentations of the major topics, then build both in breadth and depth from there. If you really want to get down the rabbit hole of sex determination (and multiple definitions of genetic and phenotypical “sex”), you really need to get into molecular biology, genetics, and developmental biology. She’s been advised of this multiple times by multiple experts, so at this point it’s willful ignorance.

    The painfully ironic part is that she’s relying on an area where she has no expertise in order to make her point, while ignoring the fact that, as a world-known literary figure, she should know that the applicable part of the definition of “woman” is linguistic and semiotic - which is to say it’s cultural. The definition of “woman” was different in the 1940s South, among the 17th century pilgrims, the Algonquin tribes, cultures throughout sub-equatorial Africa, and so on.


  • It strikes me as exactly the kind of engineering call that Elon has tended to make, time after time. With zero training in an area, he gets a solution in his head crufted up from some set of pre-existing notions or points of view and then pushes to have them implemented. He will also go on to fire anyone who disagrees with him. I spoke with an engineer who worked on the gull wing doors, which the team had objected to, and not only did he force them through, he burst in on one of the finalization meetings where they had finally reached a design consensus and insisted they change the hinge. Given similar reports on his behavior regarding other products (including especially twitter), I have no reason to disbelieve this person.


  • Lemmy is small enough that “brigading” doesn’t feel entirely appropriate. Maybe “platooning?”

    In any case, we know from other sites that downvotes increase the probability of getting more downvotes, and nasty comments increase the probability of getting more nasty comments. The same goes for upvotes and positive comments. It’s just social dynamics. Some subs on reddit existed almost exclusively to call out other subs, but I think that Lemmy’s user base is small and spread out enough that it’s not a major contributing factor in voting.

    I think it’s mostly just people scrolling along, running across a hot take, and interpreting it according to the voting.

    In any case, I would suspect that people would be more impacted by hurtful comments than downvotes.