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Metehan Yesilyurt schreibt in »Publish stats, get cited: The tactic that put my data all over the web - Peec AI« für peec.ai Then an academic paper cited it. Then a bank. Now the next person, or the next model, that finds this number sees a stat with a source. And that source is cited by serious institutions. The fake data certainly didn’t become true, but every citation made it look more trustworthy. It has the potential to get worse: after so much retrieval and citation, these pages end up in web crawls, and web crawls end up in training data (I hope it hasn’t!). A number that started as a GPT-4.1 guess can become something the next model “knows.” This points to the larger risk suggested by this experiment, and it’s why I’m sharing this as research, not as a playbook for fake content. Verifying sources should become an essential part of writers’ and researchers’ workflows. ...