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Aella_Girl's profile
Aella
Aella
Aella
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@Aella_Girl

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@Aella_Girl

whorelord http://aella.hns.to 

Austin
knowingless.com
Joined September 2012

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    Aella‏Verified account @Aella_Girl 3 Nov 2020

    Aella Retweeted Emily Khazan

    Women in science need to learn more about how statistics work. If I published results this low in significance as tho they were real I could have 'proved' eighty different insane things by now. To explain why this is bad:https://twitter.com/EmilyKhazan/status/1323292996062842883 …

    Aella added,

    Emily Khazan @EmilyKhazan
    It can be hard being a #womaninscience, and teaching evaluations often don't help. We show gender bias in teaching reviews of graduate students; another subtle force making the leaky pipeline leakier: https://www.insidehighered.com/news/2020/11/02/study-finds-gender-bias-ta-evals-too?utm_source=Inside+Higher+Ed&utm_campaign=50ab8ee656-DNU_2020_COPY_02&utm_medium=email&utm_term=0_1fcbc04421-50ab8ee656-236047609&mc_cid=50ab8ee656&mc_eid=bbbb9d8dad …
    Show this thread
    9:07 AM - 3 Nov 2020
    • 7 Retweets
    • 160 Likes
    • Iona Italia, PhD Aadam Jon Simon dinaline 🦕 Xotraz Loki Coyote ../* Donald Carr Still_Wally
    14 replies 7 retweets 160 likes
      1. New conversation
      2. Aella‏Verified account @Aella_Girl 3 Nov 2020

        Her sample size is low. There's calculations you can do to figure out exactly how meaningful a result (basically, what's the probability it was an "accidental" positive) is based on the sample size and the correlation strength. It's irresponsible to publish results as significant

        1 reply 1 retweet 62 likes
        Show this thread
      3. Aella‏Verified account @Aella_Girl 3 Nov 2020

        if there's too high a probability that your correlation was just random chance. If you test a lot of things for long enough, you're absolutely gonna find lots of correlations that are just random chance! This means you have to be extra careful if you're checking a ton of these.

        5 replies 2 retweets 75 likes
        Show this thread
      4. Aella‏Verified account @Aella_Girl 3 Nov 2020

        But also it's extra terrible that this author reported a meaningful result when she admits it's not statistically significant! I'm physically recoiling from this idea. How are they training people in school that this is something they think is ok?

        4 replies 2 retweets 112 likes
        Show this thread
      5. End of conversation
      1. ˚⁎☆〜˳✧༚‏ @chisaiusagichan 3 Nov 2020
        Replying to @Aella_Girl

        Science takes patience

        0 replies 0 retweets 0 likes
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      1. Paul Findley‏ @pauljfindley1 3 Nov 2020
        Replying to @Aella_Girl

        The best example of misunderstood statistics and how they need to be put in context is the fact that just about everyone has an above average number of arms.

        0 replies 0 retweets 5 likes
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      1. New conversation
      2. TK-421‏ @LirinNarcassan 3 Nov 2020
        Replying to @Aella_Girl

        I think it would have been much more helpful if you had posted the original article this is referring to, rather than a popular science one written about it. https://sci-hub.do/10.1080/02602938.2020.1724875 …

        2 replies 0 retweets 1 like
      3. TK-421‏ @LirinNarcassan 3 Nov 2020
        Replying to @LirinNarcassan @Aella_Girl

        And furthermore, a published paper with mistakes is not a "women in science issue" - it is a "why did this paper publish this with obvious errors?"

        0 replies 0 retweets 5 likes
      4. End of conversation
      1. TK-421‏ @LirinNarcassan 3 Nov 2020
        Replying to @Aella_Girl

        I am not sure what you are getting at at all - the paper addresses a weak correlation between SETs and true instructional quality and uses model simulations to demonstrate that SETs, even the best possible SETs are kind of useless because of systemic biases from students.

        0 replies 0 retweets 0 likes
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      1. New conversation
      2. Eade‏ @eade_bengard 3 Nov 2020
        Replying to @Aella_Girl

        Do you see the irony of how this ONE woman who uses a low sample size and flexible analysis somehow means that “women in science need to learn more about how statistics work”? There are plenty of extraordinary women in science, just look at this year’s Nobel winners.

        4 replies 0 retweets 26 likes
      3. TK-421‏ @LirinNarcassan 3 Nov 2020
        Replying to @eade_bengard @Aella_Girl

        Yeah, but beyond that - this is not an example of ONE woman using low sample sizes - I honestly think @Aella misunderstood this study.

        0 replies 0 retweets 0 likes
      4. End of conversation

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