THE VIDEO SHELF · technology and society history
James Burke Connections, Ep. 1 "The Trigger Effect"
The first episode of James Burke's 1978 BBC series Connections traces modern dependence on complex technological networks, starting with the 1965 New York blackout, and moves through ancient agriculture to Kuwait's oil-driven leap.
Why HN readers recommended it
Heavily recommended as a masterpiece of popular science and the classic illustration of how fragile interdependent systems are, trotted out in every blackout or supply chain thread.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- DRS_Education
- Topic
- technology and society history
- Format
- documentary
- Level
- general
- HN recommenders in dataset
- 12
- HN mentions in dataset
- 18
- Recommendation years in dataset
- 2019–2026
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.
Years back I was introduced to a terrific BBC show called Connections with James Burke (1978). The first episode, available on YouTube [0], is all about the world's reliance on power and that within a short period of time we'd be catapulted back to the …
jihadjihad on Hacker News · 2019-08
In A World Without Power (2013)I highly recommend James Burke's Connections (the original series if this kind of thing interests you) [VIDEO]
Angostura on Hacker News · 2019-10
In New Studies Warn of Cataclysmic Solar SuperstormsFor the uninitiated, Connections is a documentary series from the seventies exploring the interconnectedness of technology. In the first episode, titled "The Trigger Effect" [0], Burke shows that if electricity were taken away from us, we'd be sent back to the plow. It's a little …
jihadjihad on Hacker News · 2020-11
In James Burke Interview [video]
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.