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18-Year-Old's Science Reporting Leads Stanford President to Quit

www.sciencealert.com 18-Year-Old's Science Reporting Leads Stanford President to Quit

Within months of starting his undergraduate at Stanford University, 18-year-old Theo Baker was already on the trail of a story that would lead him to become the youngest George Polk award winner in American journalism history.

18-Year-Old's Science Reporting Leads Stanford President to Quit
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12 comments
  • This is a major problem in probably all high profile labs. The PI is super busy because he is such a top dog in his field, he has dozens of postdocs and phd students who are all lucky if they get to see him 10 minutes every few weeks. No supervision or control but all the academic pressure to produce something. And not just anything, but something great and interesting. Of course this can result in people doctoring (heh) results.

    • I think what's surprising about it, is that this isn't a laundry list of shitty journals. High quality journals have a fairly rigorous review process meant to surface and deal with exactly this kind of thing. The bigger journals are quite good at spotting simple techniques like omitting data or p-hacking, but it appears that at least historically they were less resistant to image manipulation. Although I've never been a prolific researcher going through the submitter process with a place with the amount of prestige that Science and Nature brings and it's very possible that they lax the process for high profile people or those who submit regularly. Either way, I'm sure many journals are watching this unfold quite closely as there will be much to learn to make processes more resilient to issues like this.

      • quite good at spotting simple techniques like omitting data or p-hacking

        I don't know about that. Spotting omitted data would only work if a key experiment is missing or if a reviewer suggests a control experiment that was actually done but not shown, or what do you mean?

        And how to spot p-hacking? That would only work if you'd be able to see all underlying raw data. Otherwise especially in high impact journals the p-values are always excellent when they need to be.

  • In light of Baker's reporting, Stanford University opened its own internal inquiry into the matter. A panel of scientists concluded that Tessier-Lavigne's work contained image manipulations in 2001, the early 2010s, 2015-2016, and 2021.

    But the panel dismissed any allegations of fraud or misconduct on the part of Tessier-Lavigne himself. Instead, they conclude that the "unusual frequency of manipulation of research data" in the neuroscientist's lab "suggests that there may have been opportunities to improve laboratory oversight and management".

    lol

  • Well that escalated quickly.

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