this post was submitted on 29 Aug 2024
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That is complete unfounded fluff words. No paper would be published if it was biased and as selective as you say. Look at the paper at least briefly and we can discuss.
I think you can download it here: https://www.researchgate.net/publication/240678278_Why_Civil_Resistance_Works_The_Strategic_Logic_of_Nonviolent_Conflict
Of interest maybe would be the indicators of a campaigns success:
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.