How Wikipedia defames and delegitimizes anybody raising concerns against the WHO narrative on Covid

Meet Alex Brown ("Alexbrn" on Wikipedia - this is his own profile picture on twitter). 

 

He is a retired Computer programmer who has a PhD in English. But apparently that is sufficient to make him the ultimate arbiter of the ‘truth’ on Covid-19. He is the key member of a very small clique of Wikipedia ‘editors’ responsible for ensuring that any member of the public looking to Wikipedia for information on the many legitimate concerns about the ‘official’ covid narrative will find nothing other than smears against those raising such concerns. This clique act as ‘gatekeepers’ of the covid narrative, and have free reign to edit these personal pages. Not only do they insert complete lies, but they then delete any attempts to correct the lies and are able to block all attempts by others to provide corrections.

The full story and how Alexbrn hacked Norman Fenton's Wikipedia entry is here.

 

A critique of the BBC2 documentary “Unvaccinated”

Before this programme was screened on 20 July 2022 promotional material from the BBC and in newspaper articles such as this suggested it was going to be extremely biased and inaccurate.

 

Based on this publicity material we already wrote articles first criticizing the claim that only 8% of the UK adult population was unvaccinated and then highlighting the fact that the publicity material failed to reveal the blatant conflicts of interest of the key ‘experts’ used in the programme to convince the seven unvaccinated participants to get vaccinated.

Our pre-screening articles and tweets about the forthcoming programme were very widely read and one of the participants Nazarin contacted us to express her serious concerns about the way the programme was made – and how it might be edited – and to confirm that the participants were indeed not informed of the experts’ conflicts of interest (this is covered well in this article by threadsirish).  (Note: see update below on the thoughts of another participant who contacted us).  Her subsequent tweets, such as the following, made clear her extreme concerns about the programme even before it was screened:

 

The programme turned out to be every bit as bad and biased as feared.

Many of the problems have been highlighted by the especially vocal participants Nazarin and Vicky (see their interviews with Dan Wooton and Sonia Poulton). Below we summarise our key concerns and what was missing.

• Claim of 4 million UK adults unvaccinated: Despite us alerting the BBC to this error (which led them to change their website description) this claim (i.e. that only 8% of adults were unvaccinated) was right up front. It set the context suggesting that this was only a tiny crazed minority.  But what was really interesting is that the presenter Hannah Fry stated that, as part of the programme research, they did a survey of 2,500 people about their views on vaccination and she was surprised to discover that 600 were unvaccinated. If the sample was representative of UK adults (and there was no suggestion it was not) then that means 24% of UK adults are unvaccinated, which is even higher than the figure we estimate, and blows apart the BBC’s ludicrous 8% claim. (UPDATE @NakedEmperorUK points out that the survey was indeed representative of the population and that the actual number never vaccinated was 664 out of 2570 - i.e. 26%. This provides further evidence of what we have claimed for a long time: The ONS is massively underestimating the proportion of unvaccinated.)
• Failure to disclose the Pfizer links of the two key experts (Finn and Khalil) on the programme: As feared the programme did not inform either the participants or the viewers of the major conflicts of interest of the key experts. Prof Adam Finn (Bristol University) was the expert chosen to explained what the vaccines were and why they were safe; but he is the leader of the Pfizer Centre of Excellence for Epidemiology of Vaccine-preventable Diseases - set up with an initial £4.6 million investment in May 2021. He even implied he was independent when he said (about the US pharma companies Pfizer and Moderna) that he ‘acted as a buffer between them and the public’.  Asma Khalil was the expert chosen to explain why it was important for pregnant women to get the vaccination. But Asma Khalil is the PI of the Pfizer covid vaccination in pregnancy trial. Another expert, psychologist
  Clarissa Simas has had many Bill and Malinda Gates Foundation (BMGF) grants.
•  Failure to disclose background to FullFact.org: The CEO Will Moy was brought in to claim that vaccine hesitancy was all due to online ‘misinformation’. But fullfact have received massive funding by organisations like Google and Facebook to present precisely the biased narrative that all the covid ‘misinformation’ is coming from ‘antivaxxers and conspiracy theorists’ and they have shown no interest in pointing out the far greater volume of misinformation put out by governments, the pharma companies and their supporters. They only ‘fact check’ information that counters the ‘standard narrative’ and avoid checking obvious misinformation claims of vaccine efficacy and safety. For some background on how bad fullfact are see this article.
  
•  No challenge to the many explicit false claims made: Among the most outrageous and demonstrably false claims that went unchallenged were: 1) Adam Finn claimed that people had stronger immunity from the vaccination than from having been infected; 2) Asma Khalil claimed the vaccination was not only completely safe for pregnant women but actually reduced the risk of miscarriage by 15% (but look at what was in the Pfizer trial with more here).
• The jellybeans game: Hannah Fry tried to create the impression that only 1 in 33,000 had a serious adverse reaction by mischievously picking that number as the incidence of myocarditis, which she claims was by the most common serious adverse reaction.  Showing what 33,000 jellybeans looked like – only one of which was ‘bad’ – was supposed to show how ‘rare’ adverse reactions to the vaccines were.  But the most recent relevant data (from the German government) actually suggest as many as 1 in 300 serious adverse reactions per dose after the vaccine. Assuming independence between doses this means that a triple vaccinated person has an approximate probability of 1 in a 100 of getting a serious adverse reaction and for a person doubled  boosted this rises to 1 in 75. And, as somebody on twitter said “what if all the bad jelly beans were in one big batch and all the others weren’t ‘good jelly beans’ – we just didn’t know yet”.
  
• No mention of the failure of the vaccination to stop infection or transmission of covid
• Failure to humanize any actual vaccination victims. The programme spoke about actual unvaccinated people dying from covid, but used the bad jelly beans to represent vaccination victims. Why didn’t they mention actual victims like the BBC’s own Lisa Shaw? or Vicky Spit's husband Zion?
  
• The ludicrous and misleading MMR vaccination anecdote: In response to the 9-page Pfizer report of adverse reactions, Hannah Fry used a bizarre anecdote to downplay its impact. This imagined a Doctor about to give the MMR jab to a child when the phone rings; there is a 50:50 chance he picks up the phone before giving the jab. He picks up the phone and during the call the child has a fit. Saying there was a 50:50 chance the doctor picks up the phone or gives the jab deliberately creates the false impression that there is also a 50:50 chance any adverse reaction after a vaccination is purely coincidental.
• No challenge to the powerful claim that 20 out of 21 ICU patients at St Georges’s hospital in Dec 2021 were unvaccinated: all evidence of national ICU data suggests vaccinated are now disproportionally hospitalized with covid, so this claim was either false/exaggerated or an unbelievable outlier. Much more likely, the ‘unvaccinated’ were defined as ‘not fully boosted’ rather than ‘never vaccinated as was implied.
• Failure to mention reported data on adverse reactions: Systems like VAERS in the US and YellowCard in the UK make it difficult to report adverse reactions and so are widely believed to massively underestimate true numbers. Yet, in VAERS alone (mainly US) as of 8/7/22 there were 1,341,605 covid vaccine adverse reactionsof which 29,460 were deaths. In all 32 years of VAERS reporting a total of only 9,754 deaths (and 878,053 adverse events) were recorded for ALL OTHER vaccines combined. So, in just 18 months, 3 times as many deaths for covid vaccines have been recorded than in 32 years combined for all other vaccines.
• No mention of the true risk of covid based on world wide data: Except for those with multiple comorbidities (who are not given appropriate early treatments) Covid poses very little risk of hospitalization and death. Young people are at essentially zero risk of dying due to Covid.
• No mention of the way covid data are by definition fixed to exaggerate cases numbers, hospitalizations,  deaths as well as vaccine efficacy and safety. Specifically: any person admitted to hospital who had a PCR positive within 14 days prior  – or who tests PCR positive after hospitalization’ – is classified as a covid hospitalization even if the reason for hospitalization was unrelated to covid; any person who dies within 28 days of PCR positive test  is classified as a covid death irrespective of the true cause of death; any person who contracts covid or who suffers adverse reaction inside 14 days of vaccinaion is classified as ‘unvaccinated’.
• No mention of lack of long-term safety data:  In particular, the failure of the Pfizer trial to provide this was glossed over suggesting that their people were so dedicated that the worked much faster than for any previous vaccine to ensure a high quality and safe product.
• No mention of all the protocol violations now known in the main Pfizer trial. Even with the violations, Pfizer’s their own data showed more deaths in vaccine arm than placebo arm and  the risk of serious adverse event in the vaccinated was greater than risk of covid hospitalization in the unvaccinated.
• No mention of international data showing strong evidence the vaccine is neither effective nor safe: Countries with lowest vaccination rates have lowest covid death rates; spikes in all-cause deaths happen after vaccination dose rollouts; countrieswith highest vaccination rates have highest covid rates and are experiencing non-covid excess death increases; and falling birth rates.  There is no reliable evidence anywhere in world that vaccinated people have lower all-cause mortality than unvaccinated.
• What was Hannah Fry’s involvement in the stat/maths modelling: Near the start of the programme Hannah stated that she had been involved in the stats/math modelling that ‘helped get us out of lockdown’. This was a surprising claim. It’s the first we had heard that such modelling was formally used to get us out of lockdown. If she was involved in such modelling, she was presumably also involved in the modelling that took us INTO lockdown (curiously nobody wants to be associated with that any more given we know it was so wrong with disastrous consequences). What exactly was her involvement in this modelling – are there papers describing it other than this one?

 

Update 25 July 2022: One of the other participants of the documentary, Mark Dabbs, has contacted us wishing to make his views about the experience public. Mark is the person whose allegations he was inappropriately touched by former deputy chief whip Chris Pincher contributed to Boris Johnson's resignation. He told us the following:

"I saw the reviews on the show we did and you know the crux of it was correct. Being one of the seven I agree somewhat with some of the people who said the show was hi-jacked by two of the more outspoken participants – I know because I was there doing it and with them for five days. 

The whole time we were there it was like being taken over by a couple of people who seemed to take things so personally. 

It was me who participated in eating the dog food from the dog food tin – omitted, ate from the dirty nappy – omitted, when we were asked to take a flo test six of them baulked and I volunteered to do it straight away, as in the hospital I have encountered this sort of lethargy before and that was what we got. None of that was used, so why get us to do it? 

I got to thinking why did some of them come if they were not going to participate.

The whole fact checker furore ended up in a big fight and we all stormed off – I went for a run to clear my head and headed to the church across the way when I had finished. Two others had sought sanctuary there too!

After the big fight we were all interviewed separately and after that I swore a lot – they cut that bit too!!

I felt terrible for Hannah and when I saw her cancer journey a month later I was even more sad for what she had to put up with."

 

 

Why did Frontiers publish a flawed study massively exaggerating Covid risk to children?

<Note: Before publishing this article we sent it to the Editors of Frontiers in Pediatrics asking if they wished to correct any inaccuracies or provide any updates, giving them several days to respond. They did not acknowledge or respond.>

In September 2021 Frontiers in Pediatrics published this article by members of the Indonesian Pediatrician Association (IDAI) claiming that the case fatality rate (CFR) for children with ‘suspected’ Covid in Indonesia was 1.4% (i.e. 1 in 71) with a CFR of 0.46% (1 in 217) for those with ‘confirmed’ Covid. No such high Covid fatality rates for children have been observed elsewhere in the world. In fact, worldwide the infection fatality rate was estimated (at the time the IDAI paper was published) to be 1 in 37,000  for those aged under 20.

The IDAI authors also made the startingly claim that, of the 175 ‘confirmed Covid deaths’ of children in their study, 62 had no existing comorbidities.  But again,  elsewhere in the world cases of covid death in children without serious comorbidities are almost unheard of. For example, in the UK in the whole of 2020,  a deep analysis of ALL child deaths with Covid (there were 28 in total) revealed only 8 were confirmed as likely caused by Covid and that all 8 had a comorbidity recorded, seven of whom had a life-limiting condition.  

An article by Ted Hilbert written shortly after the IDAI article was published highlighted the major problems with the study.  While the claims in the paper were startling, in June 2021 the IDAI (through its chairman) exaggerated the paper’s findings even further, claiming to the media that Indonesia has the highest child mortality rate (CFR) in the world, 3% to 5%. This article  provides the full details of the obviously fraudulent claim and includes the police report that was filed in response.

However, the massively exaggerated claim was used by IDAI to justify vaccinating children in Indonesia, and indeed a recommendation letter from IDAI to the government, based on the flawed study and claims about it, has been used as the main justification by the Indonesian government to issue the EUA and related policies for vaccinating children.

In the paper, the IDAI authors did not provide the raw data from which their conclusions were drawn, so Hilbert wrote to them requesting it. He received no reply (despite a statement by the authors that “The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation”) and so wrote to the Editors of Frontiers on 23 Oct 2021 to request the data. The Editors finally replied on 11 Nov 2021 stating that they would contact the authors requesting the data and finally on 30 Nov 2021 the “Research Integrity Specialist” at Frontiers sent this link to the data.

After analysing the data with other experts including pathologists, a group of authors wrote an 8-page detailed response to Frontiers on 15 Dec 2021 pointing out multiple flaws in the study and inaccuracies in the data.

Hilbert has been promised several times that a review by the editors will take place but (as of today 14 July 2022) this has never happened despite several follow up requests by Hilbert.  The paper, with its flawed conclusions that have led to Indonesia’s child vaccine policy, remains published and unchanged.

It is worth pointing out that Frontiers can hardly be accused of not responding to complaints about papers on Covid treatments. But it seems only complaints against papers showing benefits of alternative treatments are taken seriously. In May 2021 Frontiers in Pharmacology published an abstract of a study by Pierre Kory on ivermectin for COVID-19 that had passed peer review with an expert panel of reviewers including senior reviewers from the FDA; but shortly before the full paper was due to be published in a special issue edited by Robert Malone - it was pulled due to a third-party complaint,with no chance for resubmission.

 

All you need to know to understand why the ONS data on mortality by vaccine status is systemically flawed

You don’t need to look very hard into the latest ONS data on all-cause mortality by vaccination status to confirm what we have been saying for a long time (see for example here and here): the ONS data is so obviously flawed (due to miscategorisation, missing vaccine deaths, and underestimates of the proportion of unvaccinated) to be worthless. 

This simple extract from Table 3 on the age standardized mortality rate (ASMR) *** for non-covid deaths over the full period (Jan 2021 – May 2022) is all you need to know to realise everything else in the report is problematic.

 

	age standardized mortality rate for non-covid deaths (per 100K people)
Unvaccinated	1474.3
Ever vaccinated	892.9

(note that the ONS have, curiously, not provided the combined population ASMR for either non-covid deaths or all deaths for this latest period - we have written to the authors of the report requesting these numbers since they cannot be computed from the data provided).

Since this is the rate for non-covid deaths it should - in both categories - be similar to the historical age standardized mortality rate in pre-Covid times. Well, it just so happens the ONS has produced exactly those figures:

Year	age standardized mortality rate
2019	925.0
2018	965.4
2017	965.3
2016	966.9
2015	993.2
2014	953.0
2013	985.9
2012	987.4
2011	978.6

Notice how stable those figures are year on year (even in the main 'covid' year 2020 the ASM only went up to 1043). So what could possibly explain a 60% increase in non-covid deaths in 2022 among the unvaccinated and a 5% drop in non-covid deaths among the vaccinated?

Even the most fervent vaccine supporters know that it is not a miracle cure for non-covid disease. Yet, if you believe the above ONS data, it must be - since the unvaccinated are dying at a much higher rate of non-covid illnesses.  We stopped doing detailed analyses of the ONS updates on this data in January when, having exposed the blatant flaws, we called on a) the ONS to publicly withdraw their dataset and b) the retraction of any claims made by others that are based upon it.  

In case there has been an error either in our understanding of Table 3 or in the ONS presentation of the data we will be happy to set the record straight and update this article. But the bizarre data in the above table is consistent with the bias we found in the previous ONS reports. This bias (whereby mortality rates for the unvaccinated are overestimated and mortality rates for the vaccinated are underestimated) will inevitably occur when people dying (of any cause) shortly after vaccination are classified as unvaccinated and where the proportion of unvaccinated is underestimated.

The above table exposes that, far from fixing the many problems (that we discussed in detail with the authors of the ONS reports) these systemic flaws may have got even worse. 

There was previously a laughable 'explanation' provided for the increase in non-covid mortality in the unvaccinated  - namely the 'healthy vaccinee effect'. We already debunked that both theoretically and empirically. In any case, even if such a ludicrous hypothesis was correct, it would still mean that all the data - and conclusions from it - would have to be adjusted to take acount of the bias (which they certainly have not done).

Anybody attempting to draw any conclusions from the ONS data, let alone do any intensive data analysis, are now wasting their time. While it is possible there may be some interesting trends to discover from the data (such as possibly noticed here), these are more likely to simply reveal the extent to which the misclassification problems and other flaws have changed over time.

One of the most depressing things about the last two years has been how silent almost the entire academic community of statisticians and mathematicians has been in the face of so many obviously flawed statistics/studies that promote the ‘official narrative’ on Covid and the vaccine. A small number have contacted us privately to say they see through the nonsense but cannot speak out because they know how damaging it will be to their careers. In contrast, some prominent statisticians and mathematicians, who have refused to call out obviously flawed data supporting the ‘Covid narrative’, have been vocal in trying to downplay/ridicule more reliable data that supports an alternative narrative. Perhaps some of the prominent statisticians might at least finally publicly acknowledge a problem with the ONS data since it is so obvious?

*** we have also complained about the fact that the ONS started to use the age standardized mortality rate (unnecessary when you have the detailed breakdown by age) since it is essentially just a model that may not be suitable in this context.