Scores by kind of claim
Each kind of claim is scored on its own, out of 100: the share that held up, with the range it likely falls in. Fewer resolved claims give a wider range.
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Factual claims
Statements about the present or the past, checked against the record: did they hold up?
80 72 88 -
Predictions
Statements about events outside the person's control, checked once they fell due: did they come true?
70 62 78 -
Promises
Commitments to the person's or organisation's own future action, with something to deliver: was it delivered?
Insufficient record: 2 promises resolved, 5 needed for a score.
All types combined: 75 (likely 69 to 80, high confidence), from 79 claims: 35 factual claims, 44 predictions. It mixes kinds of claim in different proportions for different people, so compare people kind by kind.
Scott Alexander's claims
234 claims · page 3 of 3
“Conditional on Trump winning the Republican nomination, he’ll lose the general election: 80%”
Scott Alexander, blogger 25 January 2016 Predictions For 2016 (Slate Star Codex)
Scott Alexander gave an 80% probability that, if Trump won the Republican nomination, he would lose the 2016 general election.
Resolved false The record shows it did not happen or was not so.
What would count as true or false
This is a conditional prediction, judged on the 2016 general election. If Trump did not win the Republican nomination, the condition fails and the claim is unresolvable. If he was nominated: TRUE if Trump failed to win a majority of the Electoral College in November 2016; FALSE if he won the Electoral College and the presidency, regardless of the popular vote. Losing the popular vote while winning the Electoral College is not 'losing the general election', so it counts as FALSE.
Evidence
- 2016 Electoral College Results National Archives (archives.gov) · 5 November 2019
“Electoral Vote* | Winner: 304 | Main Opponent: 227 | Total/Majority: 538/270”
- 2016 Electoral College Results National Archives (archives.gov) · 5 November 2019
“President | Donald J. Trump [R]”
- US 2016 election final results: how Trump won The Conversation · 17 December 2016
“At the US election held on 8 November 2016, Donald Trump won the Electoral College by 306 Electoral Votes (EVs), to 232 EVs for Hillary Clinton.”
Reasoning
The condition holds: E2 lists Donald J. Trump as the Republican [R] candidate for President, and E3 shows he ran in the 8 November 2016 general election. The National Archives (E1) records the winner with 304 electoral votes, above the 270 needed for a majority. E3 reports that Trump won the Electoral College 306 to 232, which differs from the 304 to 227 recorded by the National Archives [E1]; both figures are above the 270 majority. Under the criteria, winning the Electoral College means the prediction that he would lose resolved false.
Cite this claim
Scott Alexander, “Scott Alexander gave an 80% probability that, if Trump won the Republican nomination, he would lose the 2016 general election.” (said 25 January 2016). Verdict: resolved false. Reliability API, claim c_642e519031d6, method 0.1.0+8bea457b. https://epistacklabs.com/claims/c_642e519031d6
Claims without a verdict
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