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THE VIDEO SHELF · steam heating

GSMT - Dan Holohan, Author: "The Lost Art of Steam Heating"

Dan Holohan, author of The Lost Art of Steam Heating, talks about the old steam heating systems he learned about from veteran tradesmen. He shares stories and practical lessons on how these systems work, including running steam at low temperatures.

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Why HN readers recommended it

HN recommends it as an informative talk on steam heating whose advice to respect old working systems carries over to software.

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

Video & recommendation details

Creator / channel
The General Society of Mechanics and Tradesmen
Topic
steam heating
Format
talk
Level
general
HN recommenders in dataset
3
HN mentions in dataset
4
Recommendation years in dataset
2018–2021

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.

  • "When you see something that's old and it's been there for a long time and it's working, don't laugh at it." (From a not-really-related yet quite interesting talk I watched a while back: [VIDEO] --- also featured on HN at [LINK] )

    userbinator on Hacker News · 2019-02
    In Ask HN: How to be productive with big existing code base

  • As I suspected before clicking, that article cites that explanation as being given by steam heating system expert Dan Holohan. He has a talk up on YouTube that I came across a few years ago. It is interesting on a number of levels, and I …

    oftenwrong on Hacker News · 2020-12
    In Insulation: First the body, then the home (2011)

  • Tangential topic : There was a post on HN a while back about steam heating. This talk on YouTube was linked. It was really informative: [VIDEO]

    anonu on Hacker News · 2021-04
    In Heating Water with Fire (2019)

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