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    From the post, this does not sound like an "errors do happen" type of error. It seems that there is a rather large number of mistakes, not just one or two small errors, and it feels that this is since the OP has been lacking due diligence. I would probably not work again with the OP after such an incident, unless they would provide a clear explanation of why this happened, which would convince me that this would not happen again. Commented 16 hours ago
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    Note that this is not about a conceptual mistake, but - apparently - about numerous mistakes in copying data from a source to the paper. I disagree that it is the supervisor's job to check each and every singe number in a paper against the data source. If this were necessary, the supervisor could do the work on their own. This is a level at which a PhD student or postdoc is expected to do reliable work. Commented 16 hours ago
  • If the reported numbers are inaccurate but the analysis is based on the correct values, then the OP’s question is not clear enough. I also think it is the supervisor’s responsibility if those numbers could significantly change the results and call into question the validity of the paper. Commented 16 hours ago
  • Also, an editor would not retract a paper if the analysis were conducted using the correct calibration or values and the only issue were the reporting of values in a table. In that case, there would simply be a corrigendum, and that would be all. If this is the case, I think it is way too much pressure to put on an early-career scholar. Commented 16 hours ago
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    @optimalcontrol "I ended up committing many mistakes while copying the results of the analyses into the manuscript tables ... Although the main conclusion of the paper remains the same" Uh this seems pretty clear to me? OP says they made many errors copying numbers to tables in the manuscript. Errors like this in a manuscript in the health sciences are unfortunately common, but the extent here sounds unusual. Remember that health studies are often used in meta analyses, so numbers in a table become data for someone else, and wrong numbers can then lead to wrong standards of care. Commented 11 hours ago