devhbd, you set the parameters tightly within a space you knew there would be no papers found.
You are right, maybe it's
NOT a black or white choice. Yet, when someone addresses some investigator as a pseudoscientist, he is not casting much doubts about it, right?
Maybe we shouldn't say that a certain homeopath is 100% pseudoscientific but 80% pseudoscientific, or 30% or even 99.5% pseudoscientific, right?
Maybe that scientist investigating homeopathy is going through a proto-science phase, in the same way that
medicine fails:
"Out of 49 medica
l studies from 1990–2003 with more than 1000 citations, 45 claimed that the studied therapy was effective. Out of these studies, 16% were contradicted by subsequent studies, 16% had found stronger effects than did subsequent studies, 44% were replicated, and 24% remained largely unchallenged.[1] The US Food and Drug Administration in 1977–1990 found flaws in 10–20% of medical studies.[2] In a paper published in 2012, Glenn Begley, a biotech consultant working at Amgen, and Lee Ellis, at the University of Texas, argued that only 11% of the pre-clinical cancer studies could be replicated.[3][4]
A 2016 article by John Ioannidis, Professor of Medicine and of Health Research and Policy at Stanford University School of Medicine and a Professor of Statistics at Stanford University School of Humanities and Sciences, elaborated on
"Why Most Clinical Research Is Not Useful".[62] In the article Ioannidis laid out some of the problems and called for reform, characterizing certain points for medical research to be useful again; one example he made was the need for medicine to be "patient centered" (e.g. in the form of the Patient-Centered Outcomes Research Institute) instead of the current practice to mainly take care of "the needs of physicians, investigators, or sponsors". Ioannidis is known for his research focus on science itself since the 2005 paper "
Why Most Published Research Findings Are False"."
References:
1 - Ioannidis JA (13 July 2005). "Contradicted and initially stronger effects in highly cited clinical research". JAMA. 294 (2): 218–228. doi:10.1001/jama.294.2.218. PMID 16014596.
2 - Glick, J. Leslie (1992). "Scientific data audit—A key management tool". Accountability in Research. 2 (3): 153–168. doi:10.1080/08989629208573811.
3 - Begley, C. G.; Ellis, L. M. (2012). "Drug Development: Raise Standards for Preclinical Cancer Research". Nature. 483 (7391): 531–533. Bibcode:2012Natur.483..531B. doi:10.1038/483531a. PMID 22460880.
4 - Begley, C. G. (2013). "Reproducibility: Six red flags for suspect work". Nature. 497 (7450): 433–434. Bibcode:2013Natur.497..433B. doi:10.1038/497433a. PMID 23698428.
5 - Ioannidis, JPA (2016). "Why Most Clinical Research Is Not Useful". PLOS Med. 13 (6): e1002049. doi:10.1371/journal.pmed.1002049. PMC 4915619. PMID 27328301.
6 - Ioannidis, John P. A. (August 1, 2005). "Why Most Published Research Findings Are False". PLOS Medicine. 2 (8): e124. doi:10.1371/journal.pmed.0020124. ISSN 1549-1277. PMC 1182327. PMID 16060722.
Why Most Published Research Findings Are False
John P. A. Ioannidis
PLOS
Published: August 30, 2005
https://doi.org/10.1371/journal.pmed.0020124
https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.0020124
Now what? Ha.
When you call someone a pseudoscientific there's no middle way with words here: such investigator is either
a) a pseudoscientist
b) a scientist
It's either 0% or 100%, right? In the same way that you cannot be 30% pregnant: you either ARE or ARE NOT.
So he could sue you for slander unless you properly justify how is it possible that he is a 100% pseudoscientist.
Hence it is
ABSOLUTELY LEGITIMATE to ask for such "black or white" Criterion of Demarcation.
So, bring it on, after 8 pages, I'm still waiting.
Thanks!
