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[Torillian]

o_O.Q said:

Torillian said:

Here's where I'm at dude. You are quoting at me the guy who talks about science for Nerdist.com (a nice guy but someone with a bachelor's in civil and environmental engineering and a masters in science communication) to disprove the conclusions made by a professor of psychology at University of Washington who's published 50 publications within the last ten years, been cited more than 4000 times, and has a plethora of awards including a genius grant. Take this from a scientist, this lady is a rising star in her field and I would need quite a bit of evidence before I believe she's just a dipshit who doesn't know how to analyze her own data.
I mean just look at this shit: https://scholar.google.com/citations?hl=en&user=4hwc6fwAAAAJ
This is a person that lives and breathes this kind of analysis every second of every day. To think you or I can come into her field and assume we know better than her and the peers in her field that reviewed her manuscript and approved it for a reputable journal is just nuts.

I think he has a valid reason to be skeptical

the social sciences have recently been shown to be overrun with leftist ideology to the point where nonsense like this is seen as valid

https://www.barstoolsports.com/chicago/fake-study-saying-dog-parks-are-cesspool-for-rape-culture-earns-real-award-and-now-author-is-in-real-trouble

the tilt further and further left has been documented by even left leaning sources

https://www.insidehighered.com/news/2017/02/27/research-confirms-professors-lean-left-questions-assumptions-about-what-means

and I suppose for people who lean left to begin with this may not be seen as an issue but it obviously is because what is researched and how much certain conclusions are challenged is obviously going to be adversely impacted

Political leanings have nothing to do with this. He is wrong about how P-values are used. Doesn't matter if this lady is the sjw queen of the blue haired screechers or a pundent for Fox News, she is not wrong because her P-values are too high. If there are other concerns I'm happy to hear them but "P-values are too high" is just crap.