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I wasn't worried about climate change. Now I am.

Sabine Hossenfelder · 2.5M views · 2024-01-27 · 21:37

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Overview

Sabine Hossenfelder explains climate sensitivity and why recent observations suggest climate models may have underestimated warming. She says this changed her view on how worried to be.

On Hacker News

HN commenters link it as the direct source on climate sensitivity and on the claim that past models ran too cold.

Recommended by 1 HN people across 1 months · HN mentions 2024–2024

Topics

Climate science & climate change
Search by tags
climate changeclimate modelsglobal warmingcloud feedbackscience commentary

What people said

awesomeMilou · 2024-05 · Strong recommendation

See this great video from Sabine Hossenfelder here: [VIDEO] We have surpassed the 1.5°C goal and are on track towards 3.5°C to 5°C. This accelerates the climate change timeline so that we'll see effects postulated for the end of the century in about ~20 years.

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csydas · 2024-07 · Reference

Maybe the link should be changed directly to the video it discusses? The article is purely a link to this YouTube video: [VIDEO] The article itself as I read it doesn't really contribute or expand the concepts in the video and instead is a call to action (not defined) as it assumes you've watched the video, basically I'm just not confident the article contributes anything to the subject its presenting.

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pillefitz · 2024-03 · Reference

We have good reasons to be concerned when looking at the sudden rise in ocean temperatures seen since early 2023 that closely track the worst-case scenarios. Given the stakes, I prefer to be overly cautious (aka. alarmist). On the topic of possible inaccurate climate models used in IPCC reports [VIDEO]

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Sources

Video by Sabine Hossenfelder, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

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