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explainer · HACKER NEWS RECOMMENDATION

The Bayesian Trap

Veritasium · 2 HN recommenders · 2 recommendation months

YouTube

Recommended by 2 Hacker News commenters across 2 months (2017–2024).

SignalTube analysis

Among 33 other explainer videos tagged Probability & game theory, the mean is 2.9 distinct HN recommenders. This video has 2 distinct HN recommenders, below that mean. Recommendations span 2 distinct months; the peer average is 2.9 months. This is a data-derived comparison, not a human review or quality rating.

50% of its 4 labeled comments are marked as recommendations or strong recommendations. HN mention years are 2017–2024; those years describe discussion history, not upload date. Its verified runtime is 10 minutes 37 seconds. YouTube lists its publication date as 2017-04-05.

Channel / speaker
Veritasium
Verified runtime
10m 37s
YouTube upload date
2017-04-05
Hacker News mention years
2017–2024

SAME TOPIC AND FORMAT

Compare with related videos

33 peers

The comparison cohort uses other explainer videos in Probability & game theory. “Shared recommenders” counts HN users who recommended both videos in the source graph.

VideoHN recommendersRecommendation monthsPositive label shareShared recommendersRuntimeUpload date
The Bayesian TrapCurrent video2250%—10m 37s2017-04-05
Why Your Vote Doesn't Countexplainer · CGP Grey101050%No recorded overlap6m 31s2011-03-09
Once you understand game theory, you understand the world.explainer · Veritasium10859%No recorded overlap27m 19s2023-12-23
Why Being Delusional is a Superpowerexplainer · Veritasium9945%No recorded overlap12m 4s2020-08-28

THREE SOURCE-BASED CONTEXT POINTS

Why Hacker News recommends it

4 mentions

Each note combines the dataset’s stance label and short rationale; comment bodies are not reproduced. Open the HN source for the original discussion.

reference2024-08Original HN comment ↗

The archive classifies this as a contextual reference in “Ask HN: What Are You Working On? (August 2024)”. Its short rationale: Inspired a Bayesian life-journal project.

reference2020-09Original HN comment ↗

The archive classifies this as a contextual reference in “Ask HN: How to choose which dentist or doctor to believe?”. Its short rationale: Cited for statistics of multiple agreeing doctors.

The archive classifies this as a recommendation in “Think Bayes: Bayesian Statistics Made Simple (2012)”. Its short rationale: Explains the Bayesian trap for those unfamiliar with Bayes theorem.