What Elisabeth Bik thinks about metascience
Dutch-American microbiologist and science integrity consultant who finds image duplication and manipulation in published research. Worked at Stanford University from 2001 to 2016; working on research integrity full time since 2019. Won the John Maddox Prize in 2021. Writes Science Integrity Digest.
Elisabeth Bik did not write this page.
We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.
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5 dated positions, 2025 to 2026, in their own words. Our reading of what Elisabeth Bik has said — not written or endorsed by them.
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Their wordsUnfortunately, many of these problematic papers are still not addressed by the journals now, ten years later, even though the concerns in some of them are far beyond what could be blamed on an innocent error.
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Their wordsThese are what I call "5 second retractions" - no matter what the authors will tell you ("the original photos were lost in an airplane crash"; "our basement got flooded", or "the intern did it"), there is no conceivable way that these duplications could have happened by accident.
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Their wordsCytokine has been one of the journals that did very little with the 30 papers I reported to them in October 2015. Of those papers, only 2 have been retracted, and another 2 have been corrected. The remaining 26 (87%!) have not been touched.
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- 11 months earlier
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Their wordsPreprint claiming that COVID-19 mRNA vaccines cause transcriptomic dysregulation is deeply flawed
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Their wordsWith fewer than 10 individuals in the two 'sick' groups, it is difficult to draw any meaningful conclusions. In such small groups, a single patient with an unusual RNA expression pattern could significantly skew the results. In contrast, outliers in the much larger control group will have far less influence on the average. This kind of imbalance increases the risk of generating unreliable or non-reproducible findings.
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