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The man who faked human cloning

BobbyBroccoli · 4.5M views · 2023-04-21 · 1:04:45

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Overview

BobbyBroccoli's first of two long documentaries about Hwang Woo-suk, the South Korean scientist who faked human cloning results. It tells the story of the scandal that shook a country.

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Recommended as a gripping account of scientific fraud and the history of cloning research.

Recommended by 2 HN people across 2 months · HN mentions 2023–2023

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What people said

mbaye · 2023-12 · Recommendation

Bobby Broccoli: [LINK] Documentaries about daring scientific fraud such as "The man who tried to fake an element" [LINK] or "The man who faked human cloning" [VIDEO] Or the epic tale of political intrigue in "The $21,000,000,000 hole in Texas" [LINK] about the The Superconducting Super Collider that never was.

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xmprt · 2023-10 · Recommendation

Wars don't just appear out of thin air. There were a lot of incentives for countries to engage in war. Cloning doesn't really benefit anyone and doing cloning requires a ton of funding and grants and ethics boards reviews. If you're interested in the history of human cloning (and where that field of research is trending towards), I'd recommend watching this video [1]. Full human cloning is somewhat pointless however the research has lead to innovations in stem cell research which does have real benefits for things like organ transplants. [1] [VIDEO]

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ouraf · 2023-07 · Reference

It is as bad in medicine, if not worse. Recently a very influential paper about alzheimer was pulled[1] because of almost everything you said, but for biology instead: data fabrication, overestimating numbers, etc. There's also a case related with cloning (which includes stem cell research) and massive fraud in South Korea 20 or so years ago.[2] It's a complicated matter: research is a beacon of light on top of a mountain of failed experiments. And not even the government will fund a mountain of failures if your shining discovery at the end can't bring returns to society (or shareholders) in greater value than what you took. And the pharmaceutical industry never settled for small results. And, unlike ML, it's much harder to test things as an outsider (you can hate the hype, but openAI, hugging face and all these "open" language models makes it much easier to learn, test, tweak and improve things without a master's degree in data engineering.). It's a grimy area to research even as a pastime. There's a lot of recorded practices both in research and production that makes you question how low can a person go for money 1: [LINK] 2: [VIDEO]

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Video by BobbyBroccoli, played through YouTube.

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