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THE VIDEO SHELF · history of debt

Debt: The First 5,000 Years | David Graeber | Talks at Google

David Graeber's Talks at Google presentation on his book Debt: The First 5,000 Years, covering the history of debt, the myth of barter and the Jubilee tradition.

Why HN readers recommended it

HN recommends it as an 80-minute way to get the gist of the book and a different view of what money is.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Talks at Google
Topic
history of debt
Format
talk
Level
general
HN recommenders in dataset
8
HN mentions in dataset
13
Recommendation years in dataset
2013–2024

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.

  • The theory of a barter economy as the origin of money has been debunked by David Graeber: [VIDEO] (I find his talk fascinating). He gets into what money is around minute 19. Whether you buy his arguments or not, modern money works like this: The …

    seoguru on Hacker News · 2014-03
    In Ask HN: What is money?
  • Late to the party but wanted to make sure to contribute this excellent talk by the late David Graeber about the history of debt. It includes the concept of Jubilee. [VIDEO]

    apsurd on Hacker News · 2020-12
    In Slack wanted to stay independent, but was unable to compete with tech giants
  • I find the "8000 years" claim in the parent comment to be interesting. My understanding is that it is false, and that metallic money is a way, in which armies impose themselves over populations. This talk by anthropologist David Graeber illustrates my point [VIDEO]

    primroot on Hacker News · 2013-11
    In You can't beat politics with new technology all the time

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.