THE VIDEO SHELF · obesity and insulin
The Obesity Code Lecture (Why do we get Fat?) Part 1
Dr. Jason Fung lectures on why obesity became an epidemic since the 1970s, arguing insulin and hormones rather than calories drive weight gain. He explains why calorie counting fails and touches on low-carb eating and fasting.
Why HN readers recommended it
HN commenters recommend it as a compelling alternative explanation of obesity from a prominent proponent.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Jason Fung
- Topic
- obesity and insulin
- Format
- lecture
- Level
- general
- HN recommenders in dataset
- 3
- HN mentions in dataset
- 4
- Recommendation years in dataset
- 2014–2025
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.
Jason Fung is probably the world's leading research expert on obesity. If you want videos to watch on it, it starts and ends with this guy. He has done a ton of lectures and blogposts going back over a decade, and also has the stereotypical …
JasserInicide on Hacker News · 2025-04
In Adipose tissue retains an epigenetic memory of obesity after weight loss[VIDEO] i'm not sure if you're being serious but it'll take longer than 20 miutes, more like 6 hours. this isn't a simple topic but the new science on it is compelling.
beachstartup on Hacker News · 2014-02
In What will health nuts eat on Super Bowl Sunday? NutsMinor point, but Dr. Jason Fung has a very interesting and, in my opinion, compelling explanation of obesity and weight gain. He argues that the main driver of obesity in the long term is insulin rather than total calories, and because alcohol doesn't significanlty raise …
mikenew on Hacker News · 2018-04
In Mounting criticism of NIH's relationship with the alcohol industry
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.
