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Aella
@Aella_Girl
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:
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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: insidehighered.com/news/2020/11/0
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Aella
@Aella_Girl
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
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Aella
@Aella_Girl
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@Aella_Girl
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.
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Aella
@Aella_Girl
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?
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