Data:
{
"text": "Today, the Supreme Court heard *Trump v. Anderson* (1), a.k.a. the Colorado case that decided that Donald Trump is ineligible to appear on the Colorado Republican primary ballot. In the past, pundits and legal analysts have used oral arguments to make predictions about how the court will rule. \n\nOften this takes the form of legal experts forming subjective opinions, and in this case, the broad consensus among such experts appears to be that the Court appeared much more receptive to the arguments presented by Trump’s legal team than the Colorado voters’ legal team (2, 3). However, some researchers have taken more objective approaches to tackle the same question, for example, by counting particular features of oral argument (such as number of questions, sentiment analysis, interruptions, etc.) and applying some kind of model (4, 5).\n\nMy questions are:\n\n* In the past, what methods have performed the best at predicting the outcome of SCOTUS cases based on oral arguments?\n* What do those methods say about *Trump v. Anderson*?\n\nSources:\n\n1.\thttps://www.nytimes.com/live/2024/02/08/us/trump-supreme-court-colorado-ballot\n2.\thttps://www.politico.com/live-updates/2024/02/08/trump-supreme-court\n3.\thttps://www.reuters.com/legal/trump-brings-fight-stay-ballot-us-supreme-court-2024-02-08/\n4. https://fivethirtyeight.com/features/how-to-read-the-mind-of-a-supreme-court-justice/\n5. https://academic.oup.com/book/27148/chapter-abstract/196549212?redirectedFrom=fulltext&login=false",
"label": "r/neutralpolitics",
"dataType": "post",
"communityName": "r/NeutralPolitics",
"datetime": "2024-02-09",
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}