Markus Englund
Article
Markus Englund is a recurring person in the Astral Codex Ten archive, appearing 2 times across 2 issues between October 13, 2025 and March 09, 2026. The archive places it in contexts such as “Markus Englund, $50K , for software to detect data fabrication”; “ACX grantee Markus Englund announces a first set of results”. It most often appears alongside San Francisco, 2023, Aaron Silverbook.
Metadata
- Category: People
- Mention count: 2
- Issue count: 2
- First seen: October 13, 2025
- Last seen: March 09, 2026
Appears In
Related Pages
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- San Francisco (2 shared issues)
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- 2023 (1 shared issues)
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- Aaron Silverbook (1 shared issues)
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- ACX Grants (1 shared issues)
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- ACX Grants (1 shared issues)
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- ACXG (1 shared issues)
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- Adam Morris (1 shared issues)
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- Adam Winkel (1 shared issues)
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- Aerolamp (1 shared issues)
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- Africa (1 shared issues)
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- African School of Economics (1 shared issues)
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- African Urban Lab (1 shared issues)
External Links
Source Context
Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.
Markus Englund, $50K, for software to detect data fabrication. This kind of thing is a perennial ACX Grants favorite, and we don’t always expect it to go anywhere, but Markus got our attention by saying that he’s already built the tool, already scanned 92 published papers, and found “irregularities” in five of them, inspiring two corrigenda and one likely upcoming retraction. Five out of ninety-two is a crazy result, and we’re almost scared to see what happens when he applies his program to a further 20,000 papers, which is the amount that our grant will be paying for. If you’re interested in helping verify cases of suspected data fabrication and presenting the evidence in Pubpeer comments or emails to journal editors, please contact Markus at markus@englund.dev, especially if you have solid knowledge of statistics or biology.
Inline links: markus@englund.dev
3: ACX grantee Markus Englund announces a first set of results from his project to automate anomaly detection in scientific data, finding serious and reportable data issues in eighteen papers, including an influential study linking Parkinson’s to the gut. He plans to scale up his efforts by over an order of magnitude in the year ahead.
Inline links: announces a first set of results