In my opinion, the three research frauds of the past 30 years that have had the biggest impact outside of academia are:
1. Andrew Wakefield's autism paper
2. Elgazzar's paper on ivermectin as a treatment for COVID
3. Marc Tessier-Lavigne's Alzheimer's papers
The interesting thing about 1 and 2 is that yes, they reduced public confidence in science, but only because there are large blocks of people who remain convinced that the research wasn't actually fraudulent.
But there are many scientists that love hearing themselves on TV etc. that pull out a paper to shove whatever agenda they have.
First problem: the sort of people who popularized Follow The Science™ actually meant "follow the people who run public sector institutions". Not "follow single studies" or anything that deep. The catchphrase was deployed many times during COVID to browbeat people into obeying people like Anthony Fauci, a man notorious for claiming he literally was science. "Attacks on me are attacks on science", he said. It was pure authoritarianism dressed up as intellectualism, as was so often the case throughout history (see: Lysenko).
Second problem: the heuristic that you should only trust a claim if it appears in several papers will also lead to you trusting many bogus claims. Academics regularly cite work they haven't even read, let alone replicated. It's easy to find invalid citations in the literature. Most of them just take claims on trust or even cite claims clearly advertised as made up fiction (sorry, "modeling assumptions").
Third problem: many results that replicate shouldn't:
https://blog.plan99.net/replication-studies-cant-fix-science...
Not really, but it does mean you shouldn’t trust individual papers blindly.
Anyone who follows research already knows this. Individual papers appear all the time with remarkable findings which seem revolutionary, but then nobody can replicate or commercialize it.
Some communities eat these isolated results up, like supplement and health podcasters (Rhonda Patrick, Huberman). They should know better than to take some random mouse study at face value, but it’s too good of a story to pass up.
In medicine and the industry, anyone experienced knows not to get excited about singular results unless it’s from a trusted source or until it’s replicated.