Data Colada
Article
Data Colada is a recurring organization in the Astral Codex Ten archive, appearing 3 times across 3 issues between September 28, 2023 and April 04, 2024. The archive places it in contexts such as “the Data Colada team of statistics bloggers discovered convincing evidence”; “Francesca Gino presents her case for why Data Colada are wrong”; ""data detectives” against litigious authors (eg the Data Colada vs. Francesca Gino case)“. It most often appears alongside Francesca Gino, Anthropic, Europe.
Metadata
- Category: Organizations
- Mention count: 3
- Issue count: 3
- First seen: September 28, 2023
- Last seen: April 04, 2024
Appears In
Related Pages
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- Francesca Gino (3 shared issues)
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- Anthropic (2 shared issues)
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- Europe (2 shared issues)
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- GiveWell (2 shared issues)
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- Less Wrong (2 shared issues)
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- North Atlantic (2 shared issues)
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- Twitter (2 shared issues)
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- US (2 shared issues)
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- YouGov (2 shared issues)
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- 2020 election (1 shared issues)
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- @eigenrobot (1 shared issues)
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- @jeremychrysler (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.
12: You’ve probably heard this already, but: the Data Colada team of statistics bloggers discovered convincing evidence that Harvard professor Francesca Gino fabricated data for some of her studies, ironically on honesty; Harvard agreed and placed her on leave. Now she is suing Harvard and the bloggers for $25 million for libel and “Title IX gender discrimination”. Harvard can take care of itself but the bloggers are normal people without the hundreds of thousands of dollars it takes to defend a case of this magnitude. They have a GoFundMe which is already well-funded but every little bit helps.
9: More on the Francesca Gino data fraud allegations: Gino presents her case for why Data Colada are wrong and she’s innocent; Fashional Expectation and John Billings present rebuttals. Reading the back-and-forth arguments was a good way for me to re-calibrate my sense of how to evaluate statistical evidence.
25: Tech millionaire Yun-Fang Juan has pledged $1 million to a "Scientific Integrity Fund" to defend science whistleblowers / "data detectives" against litigious authors (eg the Data Colada vs. Francesca Gino case).
Inline links: pledged $1 million to a "Scientific Integrity Fund"