THE VIDEO SHELF · behavioral biology
1. Introduction to Human Behavioral Biology
The opening lecture of Robert Sapolsky's Stanford course on Human Behavioral Biology, explaining the course premise and how to avoid categorical thinking. It starts a roughly 25-lecture series on how biology, genes, hormones and environment shape behavior.
Why HN readers recommended it
One of the most consistently recommended lecture series on HN, praised as fascinating, funny and eye-opening about human behavior across many scales.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Stanford
- Topic
- behavioral biology
- Format
- lecture
- Level
- general
- HN recommenders in dataset
- 15
- HN mentions in dataset
- 20
- Recommendation years in dataset
- 2012–2026
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
That's well known if you ever took evolutionary biology course, or game theory course. Even popular books like Richard Dawkins' "The Selfish Gene" talk in some detail about it, and this 25 hour video course is also a must see for pretty much everyone: [VIDEO]
super_mario on Hacker News · 2012-05
In Iterated prisoner's dilemma contains evolutionary opponent dominating strategiesBTW, you should watch his lecture series on the biology of behaviour: [VIDEO] For me one of the best teachers you will find online
ploomans on Hacker News · 2015-06
In Robert Sapolsky talks turbulence – teens, stress, and the information ageRobert Sapolsky`s lectures on human behavioral biology. Fascinating, funny and gives insights into many different topics like cultural differences and nationalism. [VIDEO]
guzmanovich on Hacker News · 2016-03
In Ask HN: What's the most useful online course you have watched?
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.