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We're all on the spectrum

⁨294⁩ ⁨likes⁩

Submitted ⁨⁨6⁩ ⁨months⁩ ago⁩ by ⁨fossilesque@mander.xyz⁩ to ⁨science_memes@mander.xyz⁩

https://mander.xyz/pictrs/image/79e3a196-fe93-4ea5-80fb-cba385c6ba82.jpeg

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Comments

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  • marcos@lemmy.world ⁨6⁩ ⁨months⁩ ago

    We don’t. We keep just doing things and good things keep happening afterwards.

    We don’t even know if those two facts are linked in any way.

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    • degen@midwest.social ⁨6⁩ ⁨months⁩ ago

      Nearly irrelevant xkcd

      Image

      At least in software we know where the linchpins are on some level.

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    • Azuth@lemmy.today ⁨6⁩ ⁨months⁩ ago

      Descartes said it best. The only thing I can know for sure is that I do, in fact, exist.

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  • taiyang@lemmy.world ⁨6⁩ ⁨months⁩ ago

    Frequentist statistics are really… silly in a way. And this coming from someone who has to teach it. Sure, p is less than 5%, but you sampled 100,000 people-- an effect size of 0.05 would be significant at this rate. “bUt ItS sIgNiFiCaNt”… Oy.

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    • Contramuffin@lemmy.world ⁨6⁩ ⁨months⁩ ago

      I get very suspicious if a paper samples multiple groups and still uses p. You would use q in that case, and the fact that they didn’t suggests that nothing came up positive.

      Still, in my opinion it’s generally OK if they only use the screen as a starting point and do follow-up experiments afterwards

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      • taiyang@lemmy.world ⁨6⁩ ⁨months⁩ ago

        Yeah, I used to work in a field with huge samples so significance wasn’t really all that useful. I usually just report significant coefficients and try to make clear what changes by model. For instance, if a type of curriculum showed improvements on test scores, you simply say how much and, possibly, illustrate it by saying if a person went from 50th percentile to 55th percentile.

        Every field varies, though. I find it crazy how much psychologists I’ve worked with cared about r-squared. To each their own, I guess.

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  • OrnateLuna@lemmy.blahaj.zone ⁨6⁩ ⁨months⁩ ago

    The fun part is that we don’t

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