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Thread: Study reveals scale of ‘science scam’ in academic publishing

  1. #1

    Study reveals scale of ‘science scam’ in academic publishing

    Study reveals scale of ‘science scam’ in academic publishing
    One in 5 biomedical articles may contain faked data, with Chinese paper mills leading way
    https://www.ft.com/content/76abf920-...2-3ff842150297
    [archive link: https://archive.is/v0Vun]
    Clive Cookson (11 May 2023)

    One in five articles published in journals may contain faked data produced by unauthorised “paper mills” that are paid to fabricate scientific submissions, according to a study by German researchers who used new techniques to “red flag” problematic papers.

    The study adds to the growing evidence that academic publishing faces a damaging surge in fabricated research sold by paper mills to researchers desperate for published work to boost their careers. It also backs up recent evidence that the majority of fake research comes from China.

    The team, led by Professor Bernhard Sabel, who heads the Institute of Medical Psychology at Otto von Guericke University Magdeburg, found that the number of fake papers had risen substantially in recent years. Pressure to publish had been particularly intense in China, they said; for example, some Chinese hospitals and health authorities require physicians to be first author on a set number of papers.

    Reviews of clinical evidence lose credibility when fraudulent studies are included, undermining public trust in science and medicine. China’s science sector also suffers from the western perception that the country’s researchers have a cavalier attitude to the integrity of published work.

    “Fake science publishing is possibly the biggest science scam of all time, wasting financial resources, slowing down medical progress and possibly endangering lives,” said Sabel.

    Most of the growing band of independent investigators who track scientific fraud analyse the content of papers and look, for example, for manipulated images and implausible genetic sequences. Academic publishers are also beginning to adopt more sophisticated fraud detection tools.

    The German researchers took a different tack, identifying simple “red flag” indicators that do not require detailed examination of the paper itself, such as the use of private rather than institutional email addresses, affiliation with a hospital rather than university and lack of international co-authors. These were validated by comparing a sample of known fakes with papers regarded as genuine.

    The paper, which has been posted as a preprint on MedRxiv(opens a new window) but has not been peer reviewed, emphasises that the red flag is not a definitive indication of fraud, because it can falsely identify a substantial number of genuine papers.

    The number of red flag publications across biomedicine rose from 16 per cent in 2010 to 28 per cent in 2020, with a much sharper increase in neuroscience than in clinical medicine. Taking account of papers flagged as fake that are actually genuine, Sabel estimated that the actual proportion now was about 20 per cent, equivalent to around 300,000 papers a year.

    Citing the “mass production” of faked research by paper mills, the researchers also investigated the techniques used by a sector whose annual revenues were estimated at $3bn-$4bn. “They typically appear to use sophisticated AI-supported text generation, data and statistical manipulation and fabrication technologies, image and text pirating,” they said.

    Professor Gerd Gigerenzer of the University of Potsdam, a psychologist and co-author of the paper, said: “It will be a race between the paper mills and those of us who try to detect them, with both sides using AI.”

    But the ultimate solution, Gigerenzer added, was to reduce the pressure to publish, particularly in China. Others, he suggested, could follow the example of the German Research Foundation, which tells applicants for funding that they should limit the number of their own papers cited(opens a new window) to five.

    Jennifer Byrne, an oncology professor at the University of New South Wales and leading sleuth, who was not involved in the project, said: “It’s an important study because very few studies have been published on this large scale. It is pointing to a massive problem.”
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      -- Government (p. 99)
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      -- Harmonies of Political Economy - Book One (p. 447)

    · tu ne cede malis sed contra audentior ito ·



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  3. #2
    Quote Originally Posted by Occam's Banana View Post
    If you torture your data enough, it will confess to anything.

    Is Most Published Research Wrong?
    Mounting evidence suggests a lot of published research is false
    https://odysee.com/@veritasium:f/is-...search-wrong:1
    //

  4. #3
    Peer review = straight garbage
    "An idea whose time has come cannot be stopped by any army or any government" - Ron Paul.

    "To learn who rules over you simply find out who you arent allowed to criticize."

  5. #4
    Academia is BROKEN! - Harvard Fake Data Scandal Explained
    [29 June 2023] This week a top Professor at Harvard University was exposed for data FRAUD. The evidence is damning, and it is hard to see how Francesca Gino can argue her way out of it. This looks bad for Gino, but also it looks bad for behavioural science in general. She isn't the only example of data fraud in the industry either, so if you want me to cover more of this type of content, let me know in the comments below!

    The Articles/Blog Posts:

    https://www.youtube.com/watch?v=d2Tm3Yx4HWI

  6. #5
    Academia is BROKEN! - Stanford President Scandal Explained
    Last week The PRESIDENT of Stanford University was exposed for data FRAUD. The evidence is shocking, and it is depressing to see how Marc Tessier-Lavigne is not being appropriately reprimanded for his malpractice.

    This looks really bad for Stanford, but also it looks terrible for academia in general. He isn't the only example of data fraud in the industry either, the Francesca Gino case proved that. So, if you want me to cover more of this type of content, let me know in the comments below!

    Theo Baker's Stanford Daily article 1: https://shorturl.at/EPR89
    Theo Baker's Stanford Daily article 2: https://shorturl.at/vyK48
    Emma Sandy's video on Western Blot: https://www.youtube.com/watch?v=tL22O5yV9rA

    https://www.youtube.com/watch?v=OHfVZ5rvxqA

  7. #6
    Quote Originally Posted by Occam's Banana View Post
    Academia is BROKEN! - Stanford President Scandal Explained
    Last week The PRESIDENT of Stanford University was exposed for data FRAUD. The evidence is shocking, and it is depressing to see how Marc Tessier-Lavigne is not being appropriately reprimanded for his malpractice.

    This looks really bad for Stanford, but also it looks terrible for academia in general. He isn't the only example of data fraud in the industry either, the Francesca Gino case proved that. So, if you want me to cover more of this type of content, let me know in the comments below!

    Theo Baker's Stanford Daily article 1: https://shorturl.at/EPR89
    Theo Baker's Stanford Daily article 2: https://shorturl.at/vyK48
    Emma Sandy's video on Western Blot: https://www.youtube.com/watch?v=tL22O5yV9rA

    https://www.youtube.com/watch?v=OHfVZ5rvxqA
    Also related to fraudulent research involving Alzheimer's:

  8. #7
    Even some of the denizens of "Trust the ScienceTM"-land are perturbed:

    https://twitter.com/BobMurphyEcon/st...88631247142912
    [article: https://www.theatlantic.com/science/...ations/674891/ (archive link: https://archive.li/InKrk)]
    Last edited by Occam's Banana; 08-03-2023 at 03:33 PM.

  9. #8
    Why Science Fraud Goes Deeper Than the Stanford Scandal...
    Learn about high-profile cases of scientific fraud, its prevalence, and its impact on academia. Discover situational pressures and solutions while exploring the quest for research integrity. It includes coverage of Diederik Stapel in the Netherlands, Woo Suk Hwang in Korea, and Marc Tessier-Lavigne, the president of Stanford University who stepped down in 2023. A must-watch for scientists and curious minds! Here's a link to Stuart Ritchie's book on Scientific Fraud: https://amzn.to/3OJB0wz (an affiliate link).

    00:00 Case 1: Diederik Stapel
    01:48 Case 2: Woo Suk Hwang
    04:05 Case 3: Marc Tessier-Lavigne
    06:07 An Old Problem
    07:44 Prevalence of Science Fraud
    12:10 What to do About it

    https://www.youtube.com/watch?v=2mWwXO_guHk
    Last edited by Occam's Banana; 08-10-2023 at 03:33 AM.



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  11. #9
    Trust the science?

    Even when “the science” tells you that “the science” is fraudulent?

    I’m so confused. Hopefully Bill Gates will do an episode of his new podcast on this to straighten me out.
    Chris

    "Government ... does not exist of necessity, but rather by virtue of a tragic, almost comical combination of klutzy, opportunistic terrorism against sitting ducks whom it pretends to shelter, plus our childish phobia of responsibility, praying to be exempted from the hard reality of life on life's terms." Wolf DeVoon

    "...Make America Great Again. I'm interested in making American FREE again. Then the greatness will come automatically."Ron Paul

  12. #10
    Quote Originally Posted by CCTelander View Post
    Trust the science?

    Even when “the science” tells you that “the science” is fraudulent?

    I’m so confused. Hopefully Bill Gates will do an episode of his new podcast on this to straighten me out.
    No need to wait for Bill Gates, comrade - Sam Harris is on the job:

    Quote Originally Posted by Occam's Banana View Post
    https://twitter.com/ComicDaveSmith/s...15395751378944

  13. #11
    Quote Originally Posted by Occam's Banana View Post
    From the Department of the Quiet Part Out Loud:

    https://twitter.com/PatrickTBrown31/...16559853748351
    to: https://twitter.com/PatrickTBrown31/...16563938955298
    [thread archive: see hidden matter below]


    [additional matter hidden to save space]
     
    https://twitter.com/PatrickTBrown31/...16555844035045
    to: https://twitter.com/PatrickTBrown31/...18089281573092
    [thread archive: https://threadreaderapp.com/thread/1...844035045.html
    {@PatrickTBrown31 | 05 September 2023}

    Last week, I described our paper on climate change and wildfires:
    I am very proud of this research overall. But I want to talk about how molding research presentations for high-profile journals can reduce its usefulness & actually mislead the public.

    For climate research, I think the crux of the issue is highlighted here in my thread:
    I mentioned that this research looked at the effect of warming in isolation but that warming is just one of many important influences on wildfires with others being changes in human ignition patterns and changes in vegetation/fuels.

    So why didn’t I include these obviously relevant factors in my research from the outset? Why did I focus exclusively on the impact of climate change?

    Well, I wanted the researche to get as widely disseminated as possible, and thus I wanted it to be published in a high-impact journal.

    Put simply, I've found that there is a formula for success for publishing climate change research in the most prestigious and widely-read scientific journals and unfortunately this formula also makes the research less useful.

    1) The first thing to know is that simply *showing* that climate change impacts something of value is usually sufficient, and it is not typically necessary to show that the impact is large compared to other relevant influences.

    In the paper, I focused on the influence of climate change on extreme wildfire behavior but did not quantify (i.e., I “held constant”) the influence of other obviously relevant factors like changes in human ignitions or the effect of poor forest management.

    I knew that considering these factors would make for a more realistic (and thus useful) analysis, but I also knew that it would muddy the waters of an otherwise clean story and thus make the research more difficult to publish.

    This type of framing, where the influence of climate change is unrealistically considered in isolation, is the norm for high-profile research papers.

    For example, in another recent influential Nature paper, they calculated that the two largest climate change impacts on society are deaths related to extreme heat and damage to agriculture.
    However, that paper does not mention that climate change is not the dominant driver for either one of these impacts: temperature-related deaths have been declining, and agricultural yields have been increasing for decades despite climate change.
    2) This brings me to the second component of the formula, which is to ignore or at least downplay near-term practical actions that can negate the impact of climate change.

    If deaths related to outdoor temperatures are decreasing and agricultural yields are increasing, then it stands to reason that we can overcome some major negative effects of climate change. It is then valuable to study this success so that we can facilitate more of it.

    However, there is a taboo against studying or even mentioning successes since they are thought to undermine the motivation for greenhouse gas emissions reductions.

    Identifying and focusing on problems rather than studying the effectiveness of solutions makes for more compelling abstracts that can be turned into headlines, but it is a major reason why high-profile research is not as useful to society as it could be.

    3) A third element of a high-profile climate change research paper is to focus on metrics that are not necessarily the most illuminating or relevant but serve more to generate impressive numbers.

    In the case of my paper, I followed the common convention of focusing on changes in the risk of extreme events rather than simpler and more intuitive metrics like changes in intensity.
    The sacrifice of clarity for the sake of more impressive numbers was probably necessary for it to get into Nature.

    Another related convention, which I also followed in my paper, is to report results corresponding to time periods that are not necessarily relevant to society but, again, get you the large numbers that justify the importance of your research.

    For example, it is standard practice to report climate change related societal impacts associated with how much warming has occurred since the industrial revolution but to ignore or “hold constant” societal changes over that time.

    This makes little sense from a practical standpoint since the influence of societal changes have been much larger than the influence of climate changes on people since the 1800s.

    Similarly, it is conventional to report projections associated with distant future warming scenarios now (or always) thought to be implausible (RCP8.5) while ignoring potential changes in technology and resilience.

    A much more useful analysis for informing actual decisions we face would focus on changes in climate from the recent past that living people have experienced to the foreseeable future - the next several decades - while accounting for changes in technology and resilience.

    In the case of our research, this would mean considering the impact of climate change in conjunction with proposed reforms to forest management practices over the next several decades. This is what we are doing in the current phase of the research.
    This more practical kind of analysis is discouraged because looking at changes in impacts over shorter time periods and in the context of other relevant factors reduces the calculated magnitude of the impact of climate change, and thus it appears to weaken the case for greenhouse gas emissions reductions.

    So why did I follow this formula for producing a high-profile scientific research paper if I don’t believe it creates the most useful knowledge for society? I did it because I began this research as a new assistant professor facing pressure to establish myself in a new field and to maximize my prospects of securing respect from my peers, future funding, tenure, and ultimately a successful career.

    When I had previously attempted to deviate from the formula I outlined here…
    …my papers were promptly rejected out of hand by the editors of high-profile journals without even going to peer review.

    To put it bluntly, I sacrificed value added for society in order to mold the presentation of the research to be compatible with the preferred narratives of the editors and reviewers of high-profile journals.

    I am bringing these issue to light because I hope that highlighting them will push for reforms that will better align the incentives of researchers with the production of the most useful knowledge for society.

    I write more about this today in a piece in The Free Press:
    I also have more thoughts on my personal blog:
    //

  14. #12
    Quote Originally Posted by Occam's Banana View Post
    Criminologist who Cried Racism - The Eric Stewart Story
    https://www.youtube.com/watch?v=3U1PLIWQgyw
    {Aydin Paladin | 25 September 2023}

    And he would have gotten away with it too if it weren't for those meddling data thugs!

    0:00:00 - Intro
    0:02:45 - A Criminology Investigation
    0:41:14 - The Gang Covers Up A Crime Scene
    0:59:41 - The Meaning of Means
    1:10:46 - The Beginning of the End
    1:35:47 - Implications and the Future
    1:46:58 - Conclusions

    //

  15. #13
    Quote Originally Posted by Occam's Banana View Post
    //
    Video unavailable??
    "And now that the legislators and do-gooders have so futilely inflicted so many systems upon society, may they finally end where they should have begun: May they reject all systems, and try liberty; for liberty is an acknowledgment of faith in God and His works." - Bastiat

    "It is difficult to free fools from the chains they revere." - Voltaire

  16. #14
    Quote Originally Posted by CaptUSA View Post
    Video unavailable??
    It's working for me (logged in & logged out).

  17. #15
    https://twitter.com/PerBylund/status...56476301922789




    https://twitter.com/PerBylund/status...00999822999912


    https://twitter.com/PerBylund/status...00999822999912
    to: https://twitter.com/PerBylund/status...01019402027286
    [thread archive: https://threadreaderapp.com/thread/1...822999912.html]
    {Per Bylund | 22 September 2023}

    People's belief in data as a source of knowledge needs to be addressed. It is rarely more than faith backed up by scientism and fundamental misunderstandings of science/the scientific process. There are no data that can "speak" for themselves and data are rarely "objective."

    The social sciences study a complex process emergent from actions based on actors' interpretations, understandings, and valuations. Much of the social world consists of unobservables, but even "objective" data that actors take into account are interpreted and thus subjective.

    The natural sciences are generally much simpler than the social ditto because they study the world without human agency. This makes for a "cleaner" world that can (typically) be studied using experiments, tests of hypotheses, etc. and that produce largely reproducible results.

    The correlations (potential causations) observed in the natural sciences are comparatively simple, but "data" are always collected and never complete; no sample is truly random, measures are not exact or without bias, effects cannot be determined without risk of confounding, etc.

    Even if a sample is as random as can be, all known measures have been taken to avoid confounding, the instruments are as objective as can be, etc. they may still mislead us because, e.g., we collected the wrong data points the wrong way at the wrong time using the wrong means.

    Data are never ever a guarantee of objectivity. The high-school version of science teaches a simplification that is deceiving because it causes a faith in data that is unfounded. It is not the data themselves that provide knowledge but their repeated tests and interpretations.

    Science does not progress by collection of data that are then used to test a hypothesis. Even if the study is peer reviewed and the methods used vetted by others with deep statistical and field expertise. Empirical science progresses through repetitions with reproducible results.

    Data do not generate knowledge. Repeated (and independent) collections of data (that thereby vary) done at different times in different places, and perhaps with different assumptions, intended to test similar hypotheses are expected to home in on the true nature of reality.

    Such repeated experiments, perhaps done thousands of times with reproducible results, are still based on assumptions (such as the existence of constants and/or constant relationships), which are not themselves beyond reproach. They may seem obvious at present, but time will tell.

    It's unfortunate that people have a puerile view of data as objectively informing us about reality; it creates an overreliance (faith) in singular findings (that might be completely wrong) and an unfounded skepticism of findings generated using other methods than the scientific.

    I find much of the knee-jerk rejections of praxeology (but not, strangely, of its methodological siblings math, logic, geometry) based in this type of faith in objective data. These critics pretend to be skeptical, but really only voice a pseudo-religious belief--scientism.

    Whereas scientists specialized in their field of study can productively adopt and apply an already existing method of study, in reality no methodology is better than the philosophical argument for it--and philosophy ultimately hinges on what is reasonable, not proven truth.

    For most people, a productive first step toward developing a critical mindset is not to dismiss or reject any type of scholarship or even scientific results, but to realize that data are not the objective arbiters of truth that you learned in high school. They simply are not.

  18. #16
    Quote Originally Posted by Occam's Banana View Post
    ...
    People's belief in data as a source of knowledge needs to be addressed. It is rarely more than faith backed up by scientism and fundamental misunderstandings of science/the scientific process. There are no data that can "speak" for themselves and data are rarely "objective."
    ...
    Lies, damned lies, and peer reviewed data...
    "Foreign aid is taking money from the poor people of a rich country, and giving it to the rich people of a poor country." - Ron Paul
    "Beware the Military-Industrial-Financial-Pharma-Corporate-Internet-Media-Government Complex." - B4L update of General Dwight D. Eisenhower
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    Proponent of real science.
    The views and opinions expressed here are solely my own, and do not represent this forum or any other entities or persons.



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  20. #17
    Is Bogus Scholarship the Rule or the Exception? [The Tom Woods Show: Episode 2412]
    https://odysee.com/@TomWoodsTV:e/is-...-rule-or-the:2
    {Tom Woods TV | 02 November 2023}

    John Staddon, professor emeritus of psychology at Duke University, discusses the significance of the "replication crisis" (when it was learned that a vast number of research papers had generated results that nobody could replicate), the problem with "peer review," the role of state funding in deforming science, and much more.

    Last edited by Occam's Banana; 11-03-2023 at 05:34 AM.

  21. #18

  22. #19
    The Problem With Science Communication
    https://odysee.com/@veritasium:f/the...ommunication:4
    {Veritasium | 31 October 2023}




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