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THE VIDEO SHELF · scientific fraud

The man who almost faked his way to a Nobel Prize

BobbyBroccoli's first of three parts on Jan Hendrik Schon, the Bell Labs postdoc whose fabricated organic semiconductor results nearly won a Nobel Prize. It covers his rise and the context around Bell Labs.

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Why HN readers recommended it

HN repeatedly recommends the series as a gripping account of scientific fraud, and cites it whenever research misconduct comes up.

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

Video & recommendation details

Creator / channel
BobbyBroccoli
Topic
scientific fraud
Format
documentary
Level
general
HN recommenders in dataset
6
HN mentions in dataset
9
Recommendation years in dataset
2022–2023

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.

  • Schön got away with it for years. One of my favorite video essays is a long exploration of that case: [VIDEO]

    asmor on Hacker News · 2023-07
    In ‘A very disturbing picture’: another retraction for controversial physicist

  • This reminds me an amazing piece of documentary[1] I've watched a couple months prior about a man who tried to "scam his way onto a Nobel prize". It really goes into showing how the majority of the system is based on trust and reputation and …

    treesciencebot on Hacker News · 2023-07
    In Room Temperature Superconductor Drama and Hope

  • For those unfamiliar with the story of Jan Hendrik Schön, I suggest watching this excellent series of videos by BobbyBroccoli on YouTube [1-3]. The series does a good job breaking down the context and the situation that Schön was in, along with the incentives that …

    atrettel on Hacker News · 2023-11
    In Stanford Data Science Handbook

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

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