This week, Ioannidis and his colleagues published a paper on COVID-19 advocacy bias in the BMJ, concluding that the ‘BMJ had a strong bias in favour of authors advocating an aggressive approach to COVID-19 mitigation.’
The authors don't hold back, saying the ‘BMJ had massive bias towards specific COVID-19-related advocacy favouring aggressive measures’. The BMJ became an outlet for indieSAGE/Vaccines-Plus advocates who outperformed SAGE members, (16-fold), Great Barrington Declaration (GBD) advocates (64-fold) and 16-fold compared with the most-cited group. Short opinion pieces and analyses drove the majority of these differences.
Advocates of restricted, focused measures were virtually extinct from the BMJ pages: ‘BMJ editors, staff and apparently advocate contributors developed a massive literature, comprised mostly of opinion pieces that in general (as acknowledged by the BMJ) underwent no external review in the BMJ.”
If the BMJ were a broadcaster, it would have been reported to OFCOM: the UK's communications regulator because the news should be reported with due impartiality.
The BMJ’s approach is the exact opposite to their response to the Swine Flu Pandemic. Back then, they joined our Tamiflu team to publish our reviews.
They also created the Tamiflu campaign: The BMJ’s first open data campaign aimed to pressure companies to release the underlying clinical trial data for two globally stockpiled anti-influenza drugs, Tamiflu and Relenza. With Deb Cohen as their investigation editor, they helped track down the data.
At the outset of the pandemic, the BMJ was on a similar track: On 2nd March 2020, Tom published Covid 19—many questions, no clear answers in the BMJ Opinion. ‘Jokers and spoofers are doing overtime on the web. The authorities cried wolf in 2005 and 2009 with influenza and see what you get now,” he wrote. On the 20th of March Tom published his last BMJ post on supermarket wisdom. In October 2020, Carl stood down as BMJ EBM editor in chief.
So, what changed?
In Spring Tom submitted the Cochrane review on Non-pharmaceutical interventions to the BMJ at the request of one of the editors. The two previous review updates were published in the BMJ (2008 and 2009) in response to the Swine Flu pandemic, and there was a need for an update. The review - last updated in 2011 - had grown in size and was submitted in two parts - the first part included the mask and distancing evidence, which was rejected after the committee on the 10th April and the second part was rejected without review.
Editors expressed “worries” because the confidence intervals did not exclude a huge protective effect for health care providers and a moderate (and potentially important) effect for the general public of face masks. They also wanted to lower the evidence bar: “Most editors felt that it was important to integrate RCT evidence with observational evidence.” Apparently, “case control studies, can be quite good for looking at the effects of preventive interventions.”
Ultimately, the review did not find convincing evidence from randomized trials for the effectiveness of face masks, eye protection, or person distancing. Because the results didn’t fit with the editor's preconceptions, it was rejected.
The final straw wasn’t when we submitted a paper on transmission that led to abusive anonymous review comments. It was the publication of a character assassination that opined ‘How best can scientists push back against science denialist campaigns?’
The authors Gavin Yamey and David Gorski didn't fact check their article, there was no right of reply or communication with Sunetra Gupta or Carl, the BMJ thought it was OK to slander those mentioned as “merchants of doubt.”
In the RealClearInvestigations, Paul Thacker reported, " While Gorski and Yamey provided no evidence that Koch money funded the GBD signatories, the BMJ still published their piece….The BMJ article is full of errors that ought to have never found their way into any publication,” wrote Martin Kulldorff in The Spectator”
The COVID-Era Smearing – and Resurrection – of Trump NIH Appointee Dr. Jay Bhattacharya
We have published many times in the BMJ since 1995, including several articles with the editor in chief (e.g., 2017, 2019), and we have worked together on the Tamiflu campaign and the ALLTrials effort. Yet, Ioannidis’s team has shown what everyone in academia could increasingly observe in the covid pandemic - the BMJ lacked impartiality, and chose to favour one side during the Covid pandemic.
Medical journals aim to share the latest medical knowledge, including research findings. However, with the rise of the internet, they have started to include more news, opinions, and articles that are better suited for a magazine format.
Journals that exhibit polarization and lack impartiality during pandemics fail to represent the available evidence accurately. Despite this, their established reputations grant them significant sway, allowing them to shape doctors' perspectives, influence academic discourse, and play a crucial role in public policy formulation. This can lead to widespread acceptance of biased viewpoints, ultimately impacting healthcare decisions and responses to health crises.
Open dialogue and exploring diverse perspectives are essential for making informed, impactful decisions. The review of COVID-19 advocacy bias in the BMJ concludes, ' The BMJ undermined the ability to navigate the complexities of the pandemic issues we faced and chose to champion opinion over evidence.’ By sidelining vital discussions,
Once a bastion of an evidence-based approach, the BMJ journal lost its way. History will judge that the lack of debate was a notable misjudgment.
This post was written by two old geezers who have no problem finding somewhere to publish.
Hi John, please take a screenshot of the merchants of doubt with a date stamp. You never know, the odd word might change or be dropped.
Best, Tom
One of the more influential BMJ Covid analysis pieces was this paper, published in August 2020:
https://www.bmj.com/content/370/bmj.m3223
Figure 3 purports to represent the 'risk of SARS-CoV-2 transmission from ASYMPTOMATIC people in different settings and for different occupation times, venting, and crowding levels (ignoring variation in susceptibility and viral shedding rates).
The following day, Trisha Greenhalgh's twitter feed exploded as she shared the news that the table was all her own work. The traffic light schematic appeared to be the holy grail of pandemic planning for many infection control bureaucrats. People asked permission to use the table as a primer to develop institutional protocols. I saved a few screenshots: 'Do what you want!' replied TG, 'BMJ is credited on the drawing. I drew it, and I say it's ok.' I remember the buzz of excitement on social media, the table being rapidly translated into dozens of languages and even adapted for colour blind followers.
But when some people asked more probing questions about definitions and the evidence behind the table, the answers were somewhat evasive:
A - Thanks for this. What was the aprox definition of 'low' V 'high' occupancy?
TG - we explain it in the paper - sorry hundreds of inquiries so can't respond in detail
A - No worries will read :)
E - Can you find it in the paper. This chart seems a bit dodgy to be honest. Glad they are focusing on poorly ventilated indoor spaces tho.
A - Hey, I don't have any issues with the chart - but I can't really find the answer in the paper, having read it - that isn't a criticism of the work mind, just a question
A - Let me know if you find it, I might have overlooked
B - I had the same question, did you get any clarity?
A - No not really
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In another exchange, we learned that the table was an 'indicative table not intended to be *quantitative* or predictive':
N - Hi Professor T. The qualitative relative risk estimates in the table-- were they created solely using the authors expert judgement of the evidence?
TG - It's based on quant data too (explained in paper) but with so many variables it's basically an indicative table not intended to be *quantitative* or predictive
E - The idea that being for a long time in an outdoor, speaking, is as dangerous as speaking in a crowded poorly ventilated room but with a "face covering" is totally without evidence I'm afraid. However I appreciate that the advice is slowly pivoting towards airborne trans.
This post was deleted by post author
E - The risk is people thinking they're safe when indorrs because they're wearing a "face covering". Either masks need worn better through education and using better masks, or other measures need to be focussed on. Or both.
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The science was apparently 'really complicated':
Teacher - Thank you. This really helps me to create risk assessments for going back into teaching. Is there any where I can find contact transmission data? I'm a science teacher and I still want to be able to complete practical work.
TG - It's really complicated! Follow ***
Teacher - Thank you!
B - As a choir member I am interested in the potential of outdoor singing- in a park if well spaced...looks like might have to be masks as well. Have there been clear reports of transmission in that sort of setting?
TG - choirs outdoors, I don't think so
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One was left with the impression that just before publication the table was in fact 'created solely using the authors judgement' (and a box of coloured crayons), but inevitably, with its appealing simplicity, it would indeed go on to play a crucial role in public policy formulation. Very quickly on social media one could see how this might pan out:
Dr S - Thank you for sharing much needed conformation of the role of masks in the prevention of COVID-19 transmission, doesn't this along with all the other accumulated evidence now requires us to mandate masks in public here in the U.S. and around the world? What are we waiting for?
R - This supports asking parents to wear face masks when they pick up from school - with staggered drop off/pick ups there is more waiting around for adults, talking is inevitable so even though they are outside there is a medium risk of transmission. Let's keepkidsatschool
J - Emotional politicised pseudo-science.
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With great science comes great responsibility. Over the next couple of years one would stumble across Covid infection control guidelines, wherin the influence of that table was unmistakeable. For example:
The school that, even in in October 2023, prohibited children from speaking during lunch and required them to cover their faces indoors and outdoors: https://www.thefp.com/p/the-school-that-couldnt-quit-covid
NHS Scotland COVID-19 Social Distancing guidance diagrams, where one could also find the secret formula of TRANSMISSION RISK (Placement x Physical distancing (Proximity x Direction) x Ventilation dilution x Contact time x Function or Interaction x Vocal projection x Hand hygiene x Surface cleaning x Face covering):
https://www.nss.nhs.scot/media/2074/safety-information-message-sim2109.pdf
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The epilogue to this story came 2 years later with the publication of quantified versions of the traffic light table: https://pubs.acs.org/doi/10.1021/acs.est.1c06531
Serendipitously, the quantified modelled versions appear to almost perfectly match the original 'indicative' table. Genius stuff.