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The Great Global Warming Swindle Full Movie

A 2007 Channel 4 documentary by Martin Durkin arguing that human-caused global warming is overstated or a scam. It features contrarian scientists such as Richard Lindzen and promotes sunspot and cosmic-ray explanations for temperature change. Its claims are rejected by mainstream climate science.

Why HN readers recommended it

Climate-skeptic commenters link it as evidence against the CO2 consensus, while others cite it as an example of climate-change denial.

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

Video & recommendation details

Creator / channel
Kazza0423
Topic
climate change skepticism
Format
documentary
Level
general
HN recommenders in dataset
2
HN mentions in dataset
18
Recommendation years in dataset
2015–2020

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.

  • Bill, thanks to you for Microsoft and to you and Melinda on health. For Climate Change, your position is wildly destructive and based on just sewage instead of science. Net, CO2 has essentially nothing to do with the climate. The main driver of climate change …

    graycat on Hacker News · 2019-02
    In AMA: Bill Gates
  • If his concern is CO2, then he might want to watch a good movie, the BBC The Great Global Warming Swindle [VIDEO]

    graycat on Hacker News · 2016-01
    In Bill Gates Expected to Create Billion-Dollar Fund for Clean Energy (2015)
  • >c: burning a ton ton ton of fossil fuels. Then, fine, that's the solution that should please you. Go ahead. No worries. E.g., you and Bill Gates might be very happy to watch the BBC The Great Global Warming Swindle [VIDEO] Thumbnail version: Human sources …

    graycat on Hacker News · 2016-01
    In Bill Gates Expected to Create Billion-Dollar Fund for Clean Energy (2015)

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