Earlier quoted context omitted.
Your analysis seems to portray all scientists as pure hearted. May I remind you of the latest Stanford scandal where the president of Stanford was found to have manipulated data? Today, publications do not serve the same purpose as they did before the internet. It is trivial today to write a convincing paper without research and getting that published(www.theatlantic.com/ideas/archive/2018/10/new-sokal-hoax/572212/&s…
No subset of humanity is “pure hearted.” Fraud and malice will exist in everything people do. Fortunately these fraudulent incidents seem relatively rare, when one compares the number of reported incidents to the number of publications and scientists. But this doesn’t change anything. The benefit of scientific publication is to make it easier to detect and verify incorrect results , which is exactly what happened in…
Fraud is so frequent and easy to find that there are volunteers who in their spare time manage to routinely uncover not just individual instances of fraud but entire companies whose sole purpose is to generate and sell fake papers on an industrial scale.
https://www.nature.com/articles/d41586-023-01780-w
Fraud is so easy and common that there are a steady stream of journals which publish entire editions consisting of nothing but AI generated articles!
https://www.nature.com/articles/d41586-021-03035-y
Despite being written as a joke over a decade ago, you can page through an endless stream of papers that were generated by SciGen - a Perl script - and yet they are getting published:
https://pubpeer.com/search?q=scigen
The problem is so prevalent that some people created the Problematic Paper Screener, a tool that automatically locates articles that contain text indicative of auto-generation.
https://dbrech.irit.fr/pls/apex/f?p=9999:1::::::
This is all pre-ChatGPT, and is just the researchers who can't be bothered writing a paper at all. The more serious problem is all the human written fraudulent papers with bad data and bad methodologies that are never detected, or only detected by randos with blogs or Twitter accounts that you never hear around.