lecture · HACKER NEWS RECOMMENDATION
Lecture 1: Probability and Counting | Statistics 110
Harvard University · 3 HN recommenders · 3 recommendation months
Recommended by 3 Hacker News commenters across 3 months (2017–2018).
SignalTube analysis
Among 4 other lecture videos tagged Probability & game theory, the mean is 2.5 distinct HN recommenders. This video has 3 distinct HN recommenders, about 1.2× that mean. Recommendations span 3 distinct months; the peer average is 2.5 months. This is a data-derived comparison, not a human review or quality rating.
100% of its 3 labeled comments are marked as recommendations or strong recommendations. HN mention years are 2017–2018; those years describe discussion history, not upload date. Its verified runtime is 46 minutes 29 seconds. YouTube lists its publication date as 2013-04-29.
- Channel / speaker
- Harvard University
- Verified runtime
- 46m 29s
- YouTube upload date
- 2013-04-29
- Hacker News mention years
- 2017–2018
SAME TOPIC AND FORMAT
Compare with related videos
The comparison cohort uses other lecture videos in Probability & game theory. “Shared recommenders” counts HN users who recommended both videos in the source graph.
| Video | HN recommenders | Recommendation months | Positive label share | Shared recommenders | Runtime | Upload date |
|---|---|---|---|---|---|---|
| Lecture 1: Probability and Counting | Statistics 110Current video | 3 | 3 | 100% | — | 46m 29s | 2013-04-29 |
| 2. Behavioral Evolutionlecture · Stanford | 3 | 3 | 75% | No recorded overlap | 96m 57s | 2011-02-02 |
| Math Encounters -- Five Balls, Two Hands: The Patterns of Juggling -- Colin Wright (Presentation)lecture · National Museum of Mathematics | 3 | 3 | 75% | No recorded overlap | 71m 48s | 2012-01-25 |
| Jordan Peterson - Pareto Distributionslecture · Bite-sized Philosophy | 2 | 2 | 67% | No recorded overlap | 5m 15s | 2017-03-12 |
THREE SOURCE-BASED CONTEXT POINTS
Why Hacker News recommends it
Each note combines the dataset’s stance label and short rationale; comment bodies are not reproduced. Open the HN source for the original discussion.
The archive classifies this as a recommendation in “Ask HN: Book which comprehensively covers probability theory?”. Its short rationale: Full free Harvard probability lecture series accompanying the Blitzstein and Hwang book.
The archive classifies this as a recommendation in “Ask HN: How to Seriously Start with Machine Learning and AI”. Its short rationale: Harvard probability course as part of a math foundation for machine learning.
The archive classifies this as a strong recommendation in “Ask HN: What's the best way to relearn math?”. Its short rationale: Harvard probability course lectures, vouched for as high quality, with a companion problem book.