Here's why, and what it says about debates about Quillette, IDW, science, academia.
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quillette.com/2019/02/12/it-…
But @RichardHanania says he's doing something different: offering empirical, rather than anecdotal, support for the claim of anti-conservative bias.
2/x
He finds 22 cases, 21 of which supported Trump, and concludes that science shows Twitter is biased against the right.
3/x
To test if pro-/anti-Trump significantly explains Twitter suspensions, you can't just look at Twitter suspensions.
To explain the cause, you need cases where users didn't get suspended too.
4/x
I previously wrote about one that made claims about immigration, PC, and race based on a study with fundamental errors (different ones, not selecting on dependent variable).
6/x
arcdigital.media/a-quillette-ar…
I'm not. I'm holding them to a scientific standard. As many academics could tell you, my criticisms are straightforward methodological points, and offered more politely than they sometimes are in academic settings.
7/x
8/x
Peer review isn't just journal refereeing. It's workshops and conferences, where an error like selecting on the dependent variable would get caught early.
9/x
10/x
But one reason for the heightened scrutiny is the decision to present as scientific, rather than as opinion, and to critique others on scientific grounds, inviting the same
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