Ask me about:

  • Science (biology, computation, statistics)
  • Gaming (rhythm, rogue-like/lite, other generic 1-player games)
  • Autism & related (I have diagnosis)
  • Bad takes on philosophy
  • Bad takes on US political systems & more US stuff

I’m not knowledgeable about most other things

  • 37 Posts
  • 31 Comments
Joined 1 year ago
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Cake day: September 15th, 2024

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  • This is an excellent question… they mentioned it in the intro section that “… previous studies have shown that individual clinical and sociodemographic factors explain only a small proportion (typically less than 15%) of the variance in age at autism diagnosis”. They also addressed it a bit deep in the supplementary materials. Copied below:

    1. Demographic factors: Parental characteristics

    We ran a few analyses to understand if parental characteristics can impact age at autism diagnosis, primarily through gene-environment correlations.

    • Longitudinal analyses: In the longitudinal analyses of birth cohorts, accounting for ethnic minority status, parental socio-economic status, material deprivation, and maternal age at birth does not impact the variance explained by the GMM latent trajectories on age at autism diagnosis.
    • Genetic analyses: In SPARK, controlling for parental socio-economic status and neighbourhood deprivation does not significantly attenuate the SNP heritability for age at autism diagnosis.

    So I think the answer is yes, they did control for economic factors, and the effect is minimal


  • I’m almost certainly convinced that good early childhood intervention helps a lot. The paper also pointed out that the late-diagnosed geoup scored significantly worse on depression, self-harm, and other metrics… Even though the late diagnosed ones probably tend to have less severe symptoms (like how my diagnosis is supposedly “low support needs”). Not sure if early intervention was the sole cause of the massive discrepancy in mental health status here but it very much could be

    I think the paper is more focused on genetics simply because of the field though. It is well known that ASD has a strong genetic component so there’s no denying that. But ASD is currently linked to like 300+ genes… I would presume that genetic discrepancy is what made some researchers interested in that. There was an accepted paper earlier this year by Olga Troyanskaya’s group that was also trying to see if there are different " subtypes" of Autism so to speak (https://doi.org/10.1038/s41588-025-02224-z)

    Also I’m hoping that works like this can lead to better early detection and intervention (and hopefully not the other way)

















  • So the funny thing is… the lead researcher added “finding diamonds” since it’s a niche and highly difficult task that involves multi-step processing (have to cut wood, make pickaxe, mine iron, …) that the AI was not trained on. DeepMind has a good track record with real life usage of their AI… so I think their ultimate goal is to make the AI go from “Minecraft kiddies” to something that can think on the spot to help with treating rare disease or something like that

    Y’know they could have used something like Slay the Spire or Balatro… but I digress