this post was submitted on 29 Aug 2024
1210 points (98.1% liked)
Technology
59398 readers
4685 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
That is incredibly naive of you and truly points to your lack of credibility.
Bye.
Tell me more about how antivax scientists didn't successfully publish a paper with tons of biases and nonsensical findings.
You'll have to actually reference a published paper for that claim.
lmao
https://en.m.wikipedia.org/wiki/Lancet_MMR_autism_fraud
"[The paper] admitted that the research did not "prove" an association between the MMR vaccine and autism."
"He was reportedly asked to leave the Royal Free Hospital [around 2001] after refusing a request [presumably around 1999] to validate his 1998 Lancet paper with a controlled study."
You could say it took to long to retract the paper, which was essentially full of data-fudged "maybes". But it supposedly was "science" until it was uncovered as just fraud.
Apart from the data fudging, and intense bullshit and hype-train pushing by the now deregistered "professional" [fraudster].
Sorry, this just shows the resillience of publishing, and the scientific community to fraud and [alleged] corruption.
No lmao.
The paper wasn't retracted until 2010 lol. The point is that fraudulent papers can be published.
Still lmao.
Uh... sure it does, buddy.
In just the same way you can get away from taxes by lying vehemently... he lost his job and reputation in less than three years.
Since the paper itself was okay, but the data was falsified, obviously it was hard to prove the data was false until other studies not only showed it, but also his reputation was discredited and (presumably) investigations finished.
Incorrect data can happen even to a good paper in good faith due to instrument error.
The paper in question, again, was lots of "maybes" and no direct conclusions. The earth shattering conclusions were reached in press conferences where the guy lied vehemently, and the journalists ate it up like coke.