ClaimsScott Alexander

“UNSONG will get fewer hits than SSC in 2016: 90%”

Scott Alexander, blogger 25 January 2016 Predictions For 2016 (Slate Star Codex) archived copy

Prediction Their own work or organisation

Scott Alexander gave a 90% probability that UNSONG would get fewer hits than Slate Star Codex in 2016.

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

This is judged on the outcome. TRUE if the total 2016 page views (hits) of the UNSONG website were lower than those of Slate Star Codex for the calendar year 2016. FALSE if UNSONG's 2016 hits equalled or exceeded SSC's. With no direct traffic data, Scott Alexander's own scoring of this prediction in his end-of-2016 review, in which he reports the result from his site statistics, counts as the record. MOSTLY TRUE or MOSTLY FALSE apply only if the comparison is reported for a period that differs slightly from calendar 2016, and then follow the direction of the result.

Set before the research began.

Evidence (4)

  1. E1 2016 Predictions: Calibration Results Slate Star Codex (Scott Alexander) · 31 December 2016 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 2016 Predictions: Calibration Results Slate Star Codex (Scott Alexander) · 31 December 2016 Own record

    “Of 90% predictions, I got 16 right and 1 wrong, for a score of 94%”
  3. E3 Yearly Archives: 2016 - Slate Star Codex Slate Star Codex · 31 December 2016 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.”
  4. E4 Scott Alexander's Self-Evaluations - Econlib Econlib (Liberty Fund) · 6 April 2017

    “I just learned that blogger Scott Alexander starts ends the year by scoring the accuracy of his numerous annual predictions: here are the results for 2014, 2015, and 2016.”

Reasoning

The criteria name Scott Alexander's end-of-2016 scoring post as the record for this prediction. In the fetched text of that post (E2, E4), the strikethrough and italics that show which predictions were true or false were lost, so the result for the UNSONG item can't be read. E3 gives only the total for all 90% predictions (16 right, 1 wrong), which doesn't show whether this one was right. E6 confirms that he scored his 2016 predictions but says nothing about the UNSONG traffic item.

Cite this claim

Scott Alexander, “Scott Alexander gave a 90% probability that UNSONG would get fewer hits than Slate Star Codex in 2016.” (said 25 January 2016). Verdict: unresolvable. Reliability API, claim c_06a7450459c8, method 0.1.0+8bea457b, dataset release v1.1.2. https://epistacklabs.com/claims/c_06a7450459c8

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.