Difference between revisions of "John Ioannidis"
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| − | |description={{job | + | |description=Greek-American physician-scientist who showed why "Most Published Research Findings Are False". Prominent opponent of [[lockdowns]] during [[Covid]], but supported the jab. |
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| − | '''John P. A. Ioannidis''' is a Greek-American physician-scientist, writer and Stanford University professor. <ref>https://med.stanford.edu/profiles/john-ioannidis</ref> | + | '''John P. A. Ioannidis''' is a Greek-American physician-scientist, writer and Stanford University professor. <ref>https://med.stanford.edu/profiles/john-ioannidis</ref> Ioannidis's 2005 essay "Why Most Published Research Findings Are False" was the most-accessed article in the history of [[Public Library of Science]] (PLOS) as of 2020, with more than three million views.<ref>https://web.archive.org/web/20201022204440/http://almreports.plos.org/search?sort=counter_total_all%20desc</ref><ref name=":4">https://doi.org/10.1371%2Fjournal.pmed.0020124</ref> He was a prominent opponent of [[lockdowns]] during [[Covid]]. |
| − | Ioannidis | + | ==Covid== |
| + | Ioannidis was a prominent opponent of [[lockdowns]] during [[Covid]]<ref>https://nationalpost.com/opinion/john-ioannidis-another-shutdown-would-do-more-harm-than-good</ref>, describing them as "mistakes"<ref>https://fee.org/articles/modelers-were-astronomically-wrong-in-covid-19-predictions-says-leading-epidemiologist-and-the-world-is-paying-the-price/</ref>, and pointing out the lack of evidence for the existence of a dramatic "Covid pandemic", comparing it to a "severe flu".<ref>https://www.who.int/bulletin/online_first/BLT.20.265892.pdf</ref><ref>https://www.statnews.com/2020/03/17/a-fiasco-in-the-making-as-the-coronavirus-pandemic-takes-hold-we-are-making-decisions-without-reliable-data/</ref><ref>https://pubmed.ncbi.nlm.nih.gov/32846654/</ref> | ||
| − | + | {{QB|Shutdowns are an extreme measure. We know very well that they cause tremendous harm — for people’s lives, for their health, for their mental health, on their ability to get the best care for major problems like heart attacks, like cancer care. Shutdowns can take a major toll on employment, they can take a major toll on people who are disadvantaged, leaving them even more disadvantaged.<ref>https://nationalpost.com/opinion/john-ioannidis-another-shutdown-would-do-more-harm-than-good</ref>}} | |
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| + | For this he was headily smeared in corporate media, where he became the "fringe [[scientist]] who pumped up a bad study that supported a crazy [[right-wing]] [[conspiracy theory]] in the middle of a massive health crisis,<ref>https://www.wired.com/story/prophet-of-scientific-rigor-and-a-covid-contrarian/</ref>" and [[censored]] from [[social media]].<ref>https://judithcurry.com/2023/04/23/how-the-disinformation-industrial-complex-is-destroying-trust-in-science/</ref> | ||
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| + | However, Ioannidis supported the [[Covid jabs]].<ref>https://greekreporter.com/2022/01/17/ioannidis-transition-pandemic-endemic/</ref> | ||
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| + | ==Why Most Published Research Findings Are False== | ||
| + | "'''Why Most Published Research Findings Are False'''" is a 2005 essay by Ioannidis, published in ''[[PLOS Medicine]]''.<ref>https://doi.org/10.1371%2Fjournal.pmed.0020124</ref> It is considered foundational to the field of [[metascience]], the use of [[scientific methodology]] to study science itself. | ||
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| + | In the paper, Ioannidis argued that a large number, if not the majority, of published [[medical research]] papers contain results that cannot be [[Reproducibility|replicated]]. In simple terms, the essay states that scientists use [[Statistical hypothesis testing|hypothesis testing]] to determine whether scientific discoveries are significant. [[Statistical significance]] is formalized in terms of probability, with its [[P-value|''p-''value]] measure being reported in the scientific literature as a screening mechanism. Ioannidis posited assumptions about the way people perform and report these tests; then he constructed a statistical model which indicates that most published findings are likely [[False_positives_and_false_negatives|false positive results]]. | ||
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| + | ===The greater the financial and other interests, the less likely the research findings are to be true=== | ||
| + | {{QB|The greater the financial and other interests and [[prejudices]] in a scientific field, the less likely the research findings are to be true. [[Conflicts of interest]] and prejudice may increase [[bias]]. Conflicts of interest are very common in [[biomedical research]], and typically they are inadequately and sparsely reported. Prejudice may not necessarily have financial roots. Scientists in a given field may be prejudiced purely because of their belief in a [[scientific theory]] or commitment to their own findings. Many otherwise seemingly [[independent]], [[university]]-based studies may be conducted for no other reason than to give [[physicians]] and [[researchers]] qualifications for promotion or [[tenure]]. Such nonfinancial conflicts may also lead to distorted reported results and interpretations. Prestigious investigators may suppress via the [[peer review process]] the appearance and dissemination of findings that refute their findings, thus condemning their field to perpetuate false [[dogma]]. [[Empirical evidence]] on [[expert]] opinion shows that it is extremely unreliable.<ref>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1182327/</ref>}} | ||
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==References== | ==References== | ||
{{reflist}} | {{reflist}} | ||
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Latest revision as of 06:19, 12 November 2023
 John Ioannidis    (academic, doctor) | |
|---|---|
 | |
| Born | August 21, 1965 Athens, Greece |
| Nationality | US, Greek |
| Alma mater | University of Athens Medical School, Athens College |
John P. A. Ioannidis is a Greek-American physician-scientist, writer and Stanford University professor. [1] Ioannidis's 2005 essay "Why Most Published Research Findings Are False" was the most-accessed article in the history of Public Library of Science (PLOS) as of 2020, with more than three million views.[2][3] He was a prominent opponent of lockdowns during Covid.
Contents
Covid
Ioannidis was a prominent opponent of lockdowns during Covid[4], describing them as "mistakes"[5], and pointing out the lack of evidence for the existence of a dramatic "Covid pandemic", comparing it to a "severe flu".[6][7][8]
Shutdowns are an extreme measure. We know very well that they cause tremendous harm — for people’s lives, for their health, for their mental health, on their ability to get the best care for major problems like heart attacks, like cancer care. Shutdowns can take a major toll on employment, they can take a major toll on people who are disadvantaged, leaving them even more disadvantaged.[9]
For this he was headily smeared in corporate media, where he became the "fringe scientist who pumped up a bad study that supported a crazy right-wing conspiracy theory in the middle of a massive health crisis,[10]" and censored from social media.[11]
However, Ioannidis supported the Covid jabs.[12]
Why Most Published Research Findings Are False
"Why Most Published Research Findings Are False" is a 2005 essay by Ioannidis, published in PLOS Medicine.[13] It is considered foundational to the field of metascience, the use of scientific methodology to study science itself.
In the paper, Ioannidis argued that a large number, if not the majority, of published medical research papers contain results that cannot be replicated. In simple terms, the essay states that scientists use hypothesis testing to determine whether scientific discoveries are significant. Statistical significance is formalized in terms of probability, with its p-value measure being reported in the scientific literature as a screening mechanism. Ioannidis posited assumptions about the way people perform and report these tests; then he constructed a statistical model which indicates that most published findings are likely false positive results.
The greater the financial and other interests, the less likely the research findings are to be true
The greater the financial and other interests and prejudices in a scientific field, the less likely the research findings are to be true. Conflicts of interest and prejudice may increase bias. Conflicts of interest are very common in biomedical research, and typically they are inadequately and sparsely reported. Prejudice may not necessarily have financial roots. Scientists in a given field may be prejudiced purely because of their belief in a scientific theory or commitment to their own findings. Many otherwise seemingly independent, university-based studies may be conducted for no other reason than to give physicians and researchers qualifications for promotion or tenure. Such nonfinancial conflicts may also lead to distorted reported results and interpretations. Prestigious investigators may suppress via the peer review process the appearance and dissemination of findings that refute their findings, thus condemning their field to perpetuate false dogma. Empirical evidence on expert opinion shows that it is extremely unreliable.[14]
References
- ↑ https://med.stanford.edu/profiles/john-ioannidis
- ↑ https://web.archive.org/web/20201022204440/http://almreports.plos.org/search?sort=counter_total_all%20desc
- ↑ https://doi.org/10.1371%2Fjournal.pmed.0020124
- ↑ https://nationalpost.com/opinion/john-ioannidis-another-shutdown-would-do-more-harm-than-good
- ↑ https://fee.org/articles/modelers-were-astronomically-wrong-in-covid-19-predictions-says-leading-epidemiologist-and-the-world-is-paying-the-price/
- ↑ https://www.who.int/bulletin/online_first/BLT.20.265892.pdf
- ↑ https://www.statnews.com/2020/03/17/a-fiasco-in-the-making-as-the-coronavirus-pandemic-takes-hold-we-are-making-decisions-without-reliable-data/
- ↑ https://pubmed.ncbi.nlm.nih.gov/32846654/
- ↑ https://nationalpost.com/opinion/john-ioannidis-another-shutdown-would-do-more-harm-than-good
- ↑ https://www.wired.com/story/prophet-of-scientific-rigor-and-a-covid-contrarian/
- ↑ https://judithcurry.com/2023/04/23/how-the-disinformation-industrial-complex-is-destroying-trust-in-science/
- ↑ https://greekreporter.com/2022/01/17/ioannidis-transition-pandemic-endemic/
- ↑ https://doi.org/10.1371%2Fjournal.pmed.0020124
- ↑ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1182327/
