Hugely Influential COVID Vaccine Study Claiming the Jabs Saved Millions of Lives Torn to Shreds in Medical Journal/By Dr. Raphael Lataster

Original Link Here: Hugely Influential COVID Vaccine Study Claiming the Jabs Saved Millions of Lives Torn to Shreds in Medical Journal – Global ResearchGlobal Research – Centre for Research on Globalization

Global Research, June 03, 2025
The Daily Sceptic 10 May 2025

The hugely influential study on COVID-19 vaccines, Watson et al., which was used by experts throughout the pandemic to show that the jabs saved tens of millions of lives in one year, has been thoroughly debunked, by yours truly (a misinformation researcher now primarily focused on COVID-19, not least because of being fired for refusing the jab and winning subsequent legal cases), with the critique finally published in a peer-reviewed medical journal. This is the first of a three-part metacritique of six influential studies on the COVID-19 vaccines, with similar problems identified throughout. The same criticisms would apply to many more studies.

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Screenshot from PubMed

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  • I start by noting that this study (and these studies in general) have received very little scrutiny. One wonders why the Universe left this vitally important task to me, a sole former pharmacist and misinformation researcher/philosopher who was more interested in issues like the meaning of existence, with no funding, and struggling at life since being (and continuing to be) persecuted for refusing the jab. Perhaps understandable if you consider who is paying most of the medical researchers out there (and we will get to that), but still baffling when considering the amount of talent on ‘our contrarian side’, the side filled with experts who bucked the trend on the pandemic and pretty much got everything right. A little serendipity involved, too, as I partly did this because US Senator Ron Johnson pretty much asked me to.
  • On to the study. Firstly, Watson et al. “revolves around a model which, by definition, is not truly representative of reality”. Remember, people, the map is not the territory. And models are beholden to the GIGO principle: garbage in, garbage out. And when it comes to these studies like Watson et al., there’s a lot of garbage to sift through.
  • Then I note that their vaccine efficacy/effectiveness estimates are dodgy, bringing in ‘JECP4’, the published research I did alongside BMJ senior editor (and one of my intellectual heroes) Peter Doshi. They have been exaggerating efficacy/effectiveness (and safety) in a really big way by doing things like ignoring incidents in the ‘partially vaccinated’, or even counting them as happening in the ‘unvaccinated’. Collectively, Doshi’s team and I mathematically demonstrated: “Such methodology can make a completely ineffective vaccine appear 48% effective, or even around 65% effective, if cases in the ‘partially vaccinated’ are ascribed to the ‘unvaccinated’. In fact, even a negatively effective vaccine can, in this way, be made to appear moderately effective.”
  • It is unclear how the authors “determined the effectiveness of the vaccines in preventing death”. If they “utilised the original clinical trials of the mRNA COVID-19 vaccines, along with recently published reanalyses, they would have noted no statistically significant decrease in COVID-19 deaths among the vaccinated groups, a statistically significant increase in serious adverse events of special interest, and a non-statistically significant increase in total deaths”.
  • Another big problem is static vaccine effectiveness estimates, with the researchers assuming that the vaccine happily continues being as effective as ever, for ‘simplicity’, which we now know is complete nonsense. They’re literally spruiking boosters every few months! Remember the GIGO principle. Opt for nice things like ‘simplicity’ in your models, and this is the trash you will get in return.
  • I note that not only do the jabs become ineffective really quickly they even seem to become negatively effective – yeah you heard me, apparently increasing your chance of COVID-19 infection, and even death.
  • They also made big assumptions on infection fatality rates (IFRs). They didn’t even bother to justify (or even perhaps disclose) their preferred figures. If you’re exaggerating COVID-19 deaths, and they do, as they all do, you’re eventually going to be exaggerating the benefits of the jabs. A super important study came out just as this critique was in publishing. Looks like they’ve been (at least) doubling Covid-deaths since Omicron, the old with/from Covid debate.
  • Did the benefits outweigh the risks? Surprisingly, from this hugely influential study, you’d never know. They don’t seem to care about “the deaths and injuries caused by the vaccines”. What’s the point of saving 14 million lives if you’ve killed, say, 28 million? Bit of a missed opportunity, don’t you think? It does appear the jabs do injure and kill people, which was obvious even from the beginning, from their own clinical trials. Perhaps there were more in the Pfizer trial, with (published) questions over potentially fraudulent activity. Later studies show way more side effects, and I’ve argued in a BMJ journal that the myocarditis risk alone outweighs the ‘benefits’ of the jab in young healthy people.
  • They also did things like using ‘estimates’ of all-cause excess mortality because they didn’t actually have the data. And note the assumption that excess mortality is all due to COVID-19, rather than, oh I don’t know… the jabs. They don’t even acknowledge the possibility, even though we know for a fact that the vaccines have killed people – what we can dispute is the number.
  • With unjustified figures, made-up data, omitted data (e.g. China, which has a huge chunk of the world’s population), and even data collected from non-academic sources (like an economics magazine!), the authors actually admit to “wide uncertainty”. Somehow that wasn’t expressed when all the experts, politicians and newsreaders were proclaiming the study’s earth-shattering conclusions.
  • Funnily enough, their own charts “reveal that deaths were already declining before widespread vaccination (January–February 2021), only to rise again after significant vaccine uptake (August 2021)”. While we’re on excess mortality, a few researchers have noted that this is occurring even though the pandemic is over, and some (hi there) have even noted a correlation with the COVID-19 vaccines. (I have another excess deaths article coming out later that definitively shows it isn’t COVID-19, it isn’t the lockdowns, it’s the jab. Just waiting on publishing.)
  • Finally, we move on to financial and political conflicts of interest. Read every word of this bit. The study’s authors have financial links to vaccine manufacturers, the WHO, the Wellcome Trust, and our old friend, the one expert we all had to see as an expert despite him not having a single earned academic degree, Bill Gates. Politically, the boss of the research team is none other than Neil Ferguson, ‘Professor Lockdown’, also known as the moron that was wrong about everything, and who “was caught violating the very lockdown measures he had advocated by having an affair with a married woman during the restrictions”. Not a righteous dude. This is going to be a theme in this three-part series. The people behind the research on the jabs tend to be funded by the manufacturers and governments that approved, encouraged and even mandated the vaccines. I even go a little further, explaining that Big Pharma, the mainstream media and just about everything else is effectively owned or controlled by a handful of very rich people.
  • I also summarise some of the research demonstrating that “the pharmaceutical industry funds and arguably influences major medical journals that publish favourable studies by these same scientists, as well as the peer reviewers for these journals — just as it sponsors clinical trials of its own products, which predictably yield results more favourable to its interests compared with independent studies”. Oh, and don’t forget that it funds its own regulators. What fun!
  • I end with the customary recommendations: “To accurately assess the number of lives truly saved by these vaccines, Watson et al. and others should repeat their analysis using more rigorous and transparent methods: incorporating conservative estimates of vaccine effectiveness, given recent concerns about counting-window methodologies; accounting for rapidly waning and potentially negative effectiveness; using accurate, clearly disclosed IFRs and CFRs; giving preference to available evidence over speculative estimates; and ideally, conducting the research independently, without financial ties to vaccine manufacturers, their shareholders, or organisations that promote and mandate these vaccines.”

Well, there you have it. Maker sure you, um, Trust the Science, and all that. Especially when that dodgy science spreads everywhere in a heartbeat and takes a good three years to be debunked. Somehow I don’t think this takedown will be featuring in the big journals and the nightly news – they’ve already said ‘no’.

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Thanks to Dr. William Makis for bringing this article to our attention.

Dr Raphael Lataster is an Associate Lecturer at the University of Sydney, specialised in misinformation, and a former pharmacist. This article was first published in his Substack newsletter, Okay Then NewsRead more on his research and legal actions, including his recent win against the healthcare vaccine mandate in New South Wales.

Featured image is from Children’s Health Defense


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