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Joined
2 yr. ago

  • Keep learning, and it'll stay easier than if you didn't. See if you can find changes for the structure of what you're learning so you don't get too ossified about that, either. Like, have a decade where you focus more on sciences, one more for arts, one more for languages, one more for understanding people who are very different from you.. Maybe a decade is too big a chunk, but you get the idea.

  • Maybe, yeah, but I kinda get annoyed at this kinda dismissiveness - it's a type of vague anti-science or something like that. Like.. Sure, overfitting is a potential issue, but the answer to that isn't to never fit any curve when data is noisy, it is (among other things) to build solid theories and good tests thereof. A lot of interesting stuff, especially behavioral things, is noisy and you can't expect to always have relationships that are simple enough to see.

    You're probably right. But also, I was annoyed, not trying to convince. Maybe not the best place to post from. :)

  • I dunno, the point cloud looks to me like some kinda symmetric upward curve. I'd've guessed maybe more like R^2=.2 or something in that range, though.

    But also: This is noisy, it's cool to see anything.

  • That's stupid, though. If you can explain 11% of the variance of some noisy phenomenon like cognitive and behavioral flexibility, that's noteworthy. They tested both linear and quadratic terms, and the quadratic one worked better in terms of prediction, and is also an expression of a meaningful theoretical model, rather than just throwing higher polynomials at it for the fun of it. Quadratic here also would coincide with some homogenizing mechanism at the two ends of the age distribution.

  • Also, the R^2 is even in the picture: .11

  • How do you think a case of "this explains some of the differences in the population, but not a lot" should look?

    And that looks potentially fine for an error bar. For a mean estimate, SE=SD/√N , so depending on what error band they used this looks quite plausible.

  • I come bearing bad news from the Ruhr valley..

  • Die Idee eigentlich aller kontemporaeren oekonomischen Systeme ist, dass wirtschaftliche Taetigkeit insgesamt kein Nullsummenspiel ist. Du faengst mit Zustand A an, wendest Transformation X an, und endest mit Zustand B, wobei Zustand B Mehrwert hat und Transformation X ueblicherweise Arbeit involviert.

    Mehr Arbeit erlaubt mehr Transformation.

    Probleme sind eher:

    -wie wird der Mehrwert verteilt? (Profit fuer wen?) -welche Eigenschaften von A haben Grenzen? (Wie viel CO2 gehr klar?) -wie wird ausgewaehlt welche Transformationen gemacht werden? (Baut die Stadt Strassen oder macht das Elon Musks Firma?)

    I.A. sinds in Deutschland nicht finite Rohmaterialien die gesamtgesellschaftlich das Limit stellen. Es fehlen z.B. eher Leute die Pflege durchfuehren, als es das Verbrauchsmaterial an der Quelle tut.

    Malthus lag schon immer falsch.

  • Gibt wohl auch skandinavische Varianten von der Geschichte, spannend :D

  • It's also not really designed to make combat particularly interesting, other games manage that much better. Either shorter or narratively interesting.

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  • Falscher Person geantwortet, sollte ne Ebene hoeher

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  • Naja, wenn mans hierarchisch denkt kann mans noch als relative Privilegreduktion konstruieren.

    Vorher: 1, -1, -1 Gesamtmittelwert: -1/3, mit 1 ist man also 4/3 ueberm Mittel

    Nachher: 1, 1, -1 Gesamtmittelwert: 1/3, mit 1 ist man nur noch 2/3 ueberm Mittel

    Ist natuerlich ne abgefuckte Perspektive, aber ich glaub diese Ideen von relativem Vorteil sind nicht unverbreitet.

  • Good for them.

    Sure, I'd call it probably zoology, but whatever, "animals" counts.

  • Psychology is a fun science, but we get a lot of students who don't get that they signed up to study a science rather than for getting a degree in holding hands and going "there, there".

  • LLMs are a type of AI. Without a middle letter, it's just regular machine learning. Statistics. Not the same category as stuff that implies personhood at all, and muddying the waters there is not desirable.

  • Or play a different game altogether if you're feeling even more lazy