Why would you be driven to make baseless claims about election fraud? it seems so norm-eroding, so dangerous a precedent to set - knocking out the epistemic ladder up which we climb to democracy, leaving a future in which legitimacy can't exist.
Presumably (1) you would only do so if you felt that the threat posed by losing the election was as large as the threat of the collapse of legitimate government anyway (i.e. if you were really desperate) but also ...
...(2)Do accusations of electoral fraud betray a lack of faith in the rationality of voters: "Reasonable people couldn't vote for the opposition, so those votes must be fraudulent"? In this way calls of electoral fraud are the right's Cambridge Analytica
Just as some couldn't believe 2016 results and so blamed digital advertising (rather than trying to understand the actual reasons people voted like they did), maybe blaming electoral fraud is another symptom of the same thing, a failure to engage with voters' choices
Both attitudes draw succour from a belief in human irrationality, both take legitimate concerns about democracy and use them as springboard to actually undermine it
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Part of their "night science" project ("exciting and significant parts of scientific research that occur behind the scenes") biomedcentral.com/collections/ni…
"a framework for segmenting a scholarly article’s audience on Twitter...into granular, informative categories inferred through probabilistic topic modeling of metadata collected from each user’s network of followers"
(could be useful @nikaletras ?)
During my PhD I nearly lost my mind thinking about why we build computational models in cognitive science. {thread}
Modelling defines what makes cognitive science different from psychology. All cognitive scientists know that formal, computable models are good, but we don't always say exactly *why*
And when we do say, we find we don't exactly agree
After my PhD (which I completed without completely losing my mind), the issue of articulating exactly why we put so much effort into modelling still bugged me. Eventually I wrote something up, organised around answering the charge that models are just tautological
Thread, top five drone takedowns.
#5 Shotgun - simple, effective. A classic
#4 Eagle - Dutch authorities *were* training eagles to take down drones, but have since given up on this idea (either due to risk of injury, or difficulty training the eagles, reports vary) theverge.com/2017/12/12/167…
#3 Spear - thrown by medieval warrior at reenactment in central Russia. Link for full video:
Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results journals.sagepub.com/doi/10.1177/25… our 65 author collaboration is finally published in Advances in Methods and Practices in Psychological Science