ClaimsScott Alexander

“I get at least one article published on a major site like Huffington Post or Vox or New Statesman or something: 50%”

Scott Alexander, blogger 6 January 2017 Predictions For 2017 (Slate Star Codex)

Prediction Their own work or organisation

Scott Alexander gave a 50% probability that he would get at least one article published on a major site such as Huffington Post, Vox or New Statesman in 2017.

Unresolvable The public record could not settle it.

Prediction: Statements about events outside the person's control, checked once they fell due: did they come true?

What would count as true or false

Judge whether the event happened; the 50% probability is not part of the test. True: at least one article written by Scott Alexander (under that name or byline, or credited to him as author) was published in calendar 2017 on a major general-audience outlet comparable to Huffington Post, Vox or New Statesman (for example a national newspaper or magazine website with a large readership). A guest post, op-ed or adapted essay counts if it appears on the outlet's own site under his authorship. Mostly true: the only such piece is on a site of somewhat smaller but still widely recognised national standing. Mostly false: his work was only republished without his authorship credit, quoted, or written about by others on such sites, or the piece appeared only in early 2018. False: his 2017 annual prediction review, or a bibliography of his 2017 writing, shows no such article, and no such article dated 2017 can be found on those outlets.

Set before the research began.

Evidence (2)

  1. E1 2017 Predictions: Calibration Results Slate Star Codex (Scott Alexander's blog) · 2 January 2018 Own record

    “Strikethrough’d are false. Intact are true. Italicized are getting thrown out because I can’t decide if they’re true or not.”
  2. E2 Scott Alexander New Statesman

    “PETA, Ferguson, jihad, Doctor Who, rape, and kitten pics: the toxoplasma of online rage”

Reasoning

E2 is Scott Alexander's own 2017 calibration review. The copy we have explains the strikethrough key for marking predictions false, but the markings themselves are missing, so it doesn't show how he scored the major-site prediction. E3 is a New Statesman author page that lists a piece under his name, but the quote gives no publication date, so it doesn't show that the article came out in 2017. Neither item shows whether he had an article on a major outlet in calendar 2017.

Cite this claim

Scott Alexander, “Scott Alexander gave a 50% probability that he would get at least one article published on a major site such as Huffington Post, Vox or New Statesman in 2017.” (said 6 January 2017). Verdict: unresolvable. Reliability API, claim c_969ddad4a70a, method 0.1.0+8bea457b, dataset release v1.1.2. https://epistacklabs.com/claims/c_969ddad4a70a

This claim is in dataset release v1.1.2, with the same verdict.

Reply to this claim

For Scott Alexander, or someone speaking for them: a correction or counter-evidence. Replies are read before anything is shown; an approved reply shows your name, role, date, statement and link. Your email address is never shown and is deleted 30 days after the decision (privacy).

More prediction claims by Scott Alexander

  1. Resolved true Prediction 15 February 2018
    “I actually remember and grade these predictions publicly sometime in the year 2023: 90%”

    Scott Alexander gave a 90% probability that he would remember and publicly grade these predictions sometime in 2023.

  2. Mostly true Prediction 3 April 2025
    “Our scenario focuses on coding in particular because we think coding is what starts the intelligence explosion.”

    The authors of the scenario think coding is what will start the intelligence explosion.

  3. Mostly true Prediction 3 April 2025
    “We expect that as the AI labs become more capable, they tell the government about this because they want government contracts, they want government support.”

    In the AI 2027 scenario, as AI labs become more capable they tell the government, seeking government contracts and support.

  4. Mostly true Prediction 3 April 2025
    “In our scenario, that starts with cyber warfare, the government sees that these AIs are now as capable as the best human hackers, but can be deployed at humongous scale.”

    In the AI 2027 scenario, the government sees via cyber warfare that AIs are as capable as the best human hackers but deployable at huge scale.

  5. Resolved true Prediction 3 April 2025
    “So they become extremely interested and they discuss nationalizing the AI companies.”

    In the AI 2027 scenario, the government becomes extremely interested in AI and discusses nationalizing the AI companies.

All of them

Verdicts are made automatically; how verdicts are made.