Looking back at his 2014, 2015 and 2016 predictions, Scott Alexander said he is probably generally a little underconfident in medium-probability predictions.
Unresolvable The public record could not settle it.
Factual: Statements about the present or the past, checked against the record: did they hold up?
What would count as true or false
This claim is about what Scott Alexander wrote. True: his 2016-12-31 calibration post, reviewing his predictions for 2014 to 2016, states that he is probably generally a little underconfident in medium-probability predictions. Mostly true: he says this but frames it as covering only some of those years, or with slightly different wording that keeps the meaning. Mostly false: he describes his calibration in a materially different way, for example overconfidence, or underconfidence at high rather than medium probabilities. False: the post contains no such statement.
Set before the research began.
Evidence (3)
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E1 Scott Alexander's Self-Evaluations - Econlib Econlib (Liberty Fund) · 6 April 2017
“Since he assigns probabilities to each prediction, Scott can graph his ex ante subjective probabilities against the ex post objective probabilities.”
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E2 Scott Alexander's Self-Evaluations - Econlib Econlib (Liberty Fund) · 6 April 2017
“Of 70% predictions, I got 13 right and 3 wrong, for a score of 81%”
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E3 Scott Alexander's Self-Evaluations - Econlib Econlib (Liberty Fund) · 6 April 2017
“It looks like he is underestimating the probabilities.”
Reasoning
The criteria turn on whether Scott Alexander's 2016-12-31 calibration post says he is probably a little underconfident in medium-probability predictions. None of the evidence quotes that sentence or the post itself. A later Econlib post describes Alexander's calibration graphs (E1), quotes one result, 81% correct on 70% predictions (E2), and says Alexander appears to be underestimating probabilities (E3). That fits underconfidence, but the quoted result is not tied to a stated year and does not show what the post said about medium probabilities across 2014–2016.
Cite this claim
Scott Alexander, “Looking back at his 2014, 2015 and 2016 predictions, Scott Alexander said he is probably generally a little underconfident in medium-probability predictions.” (said 31 December 2016). Verdict: unresolvable. Reliability API, claim c_61b245f61235, method 0.1.0+8bea457b, dataset release v1.1.2. https://epistacklabs.com/claims/c_61b245f61235
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
More factual claims by Scott Alexander
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Resolved true
“They won the CSET-Foretell forecasting competition by an absolutely obscene margin”
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Mostly true
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Estimates of the genetic contribution to political association range from 0.4 to 0.6.
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Mostly true
“Heritability of one’s attitudes toward gay rights range from 0.3 to 0.5, which hilariously is a little more heritable than homosexuality itself.”
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Resolved true
“they found that people’s unconscious partisan biases were half again as strong as their unconscious racial biases”
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Mostly true
“MNX is a real-money prediction market on AI.”
Verdicts are made automatically; how verdicts are made.