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  • Who Said this was a Pandemic of the Unvaccinated? Fully Vaxxed Cass Skyrocket Past Unvaxxed in Scotland


    Who Said this was a Pandemic of the Unvaccinated? Fully Vaxxed Cass Skyrocket Past Unvaxxed in Scotland
    Fully vaccinated persons in Scotland are now hospitalized at greater levels than the fully unvaccinated, with an ever-growing number of the elderly
    trialsitenews.com


    Fully vaccinated persons in Scotland are now hospitalized at greater levels than the fully unvaccinated, with an ever-growing number of the elderly becoming seriously ill because of vaccine durability issues. Due to the waning immunity of the COVID-19 vaccines, the elderly and other at-risk cohorts raise the fully vaccinated COVID-19 hospitalization levels higher than the unvaccinated. Of course, the vaccinated make up a much larger percentage of the total population. Hence, with breakthrough infections and leaky vaccines, the fully vaccinated represent a greater number of total people hospitalized. Nevertheless, this data counters the narrative that it’s primarily the unvaccinated that populate the great majority of hospital acute care and ICU beds.


    The mainstream press in Scotland, such as The Herald, now report on the growing breakthrough infections and associated hospitalizations. The unvaccinated now are hospitalized at lower rates than the fully vaccinated!


    Regardless, back in America, the POTUS went on the record again in his most recent speech that this remains “a pandemic of the unvaccinated.” Biden elaborated that the unvaccinated end up in the hospital much more, while the vaccinated overwhelmingly experience mild to no symptoms when they experience breakthrough infections.


    Yet, from Canada to England to Scotland, TrialSite reports that ever accumulating numbers of hospitalized patients are fully vaccinated.


    As reported recently by the Scottish government, that is why public health authorities seek to better understand the breakdown of hospitalized patients due to COVID-19 versus those hospitalized with other conditions. In the Scottish government’s latest report, 68% of COVID-19 related acute hospital admissions involve a primary COVID-1 diagnosis. This figure equaled 75% in March of 2021. Deaths are down markedly from previous surges.


    New Cases

    Despite some of the highest vaccination rates in the world, cases have absolutely skyrocketed due to Delta and now the even more infectious Omicron variant of SARS-CoV-2. This latest surge started in early December and new daily infections appear to be on a downward trend. However, by January 3rd all previous records of daily new cases were shattered with over 51,000 cases in one day.


    Deaths related to COVID-19 are on an upward trajectory based on the sheer number of infections; however, overall, the death rate is far lower than during the first couple of COVID-19 surges in 2020. This can possibly be explained by several variables, including vaccination.


    What about Vaccinations?

    Scotland’s population is heavily vaccinated. By January 6, 2022, about 91.5% of the population aged 12 and up were at least partially vaccinated while 84.3% of the population aged 12 and up was classified as fully vaccinated. Public Health Scotland reports low levels of deaths among the vaccinated, indicating the benefit of vaccination in mitigating the risk of death.


    By the first week in January 2022, 63.6% of the population aged 12 and up had received a third booster dose. TrialSite shares a bar graph depicting the high vaccination rates in Scotland:


    Figure 11: Estimated percentage of people vaccinated with booster/dose 3 by age and sex by 6 January 2022

    This bar chart shows the estimated percentage of males and females vaccinated with either booster or dose 3 of the Covid-19 vaccine for twelve age groups.

    The third dose or booster vaccine is showing at least 91% for those aged over 60 for both males and females, with 85% of males and 86% of females for those aged 55-59, 78% of males and 79% of females for those aged 50-54, 62% of males and 68% of females for those aged 40-49, 42% of males and 50% of females for those aged 30-39, 29% of males and 38% of females for those aged 18-29, 7% of males and females for those aged 16-17 and 1% for both males and females for those aged 12 to 15.


    Coronavirus (COVID-19): state of the epidemic - 7 January 2022
    This report brings together the different sources of evidence and data about the Covid epidemic to summarise the current situation, why we are at that place,…
    www.gov.scot

  • Naïve T cells may be key to the low mortality of children with COVID-19


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    During the ongoing pandemic of coronavirus disease 2019 (COVID-19), a unique phenomenon has been observed: fewer cases and lower mortality rate were observed in younger patients under the infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).1-3 It is generally believed that the human immune system is in a process of continuous development from birth to adolescence and that immunity against pathogens becomes strongest in early to middle adulthood but begins to weaken in late adulthood. Indeed, as expected, old COVID-19 patients, particularly over 70 years old, appeared higher mortality rate than the others.4-6 However, the severity of and mortality due to COVID-19 is also higher among young and middle-aged adults than among children, which does not fit the typical expectations.7, 8 The concept that the immune system in early life (infancy and early childhood) is not yet mature suggests that the severity of and mortality due to COVID-19 should be higher among infants and children than among adults. However, according to the current data, adults, who are supposed to have stronger immunity, have a higher mortality rate than young children, as shown in the following Table 1.1-3


    TABLE 1. Mortality of diagnosed COVID-19 patients in two locations

    Location Date (Age) 0∼ (Age) 10∼ (Age) 20∼ (Age) 30∼ (Age) 40∼ (Age) 50∼ (Age) 60∼ (Age) 70∼ (Age) 80∼ Summary

    China1, 2 ∼2020.11 Number of diagnoses 731 975 6580 13,810 15,597 18,197 15,597 7149 2600 81,236

    Diagnosis ratio 0.90% 1.20% 8.10% 17.00% 19.20% 22.40% 19.20% 8.80% 3.20% 100.00%

    Number of deaths 1 4 25 59 123 415 994 1002 671 3294

    Mortality 0.14% 0.41% 0.38% 0.43% 0.79% 2.28% 6.37% 14.02% 25.81% 4.05%

    Location Date (Age) 0∼ (Age) 5∼ (Age) 18∼ (Age) 30∼ (Age) 40∼ (Age) 50∼ (Age) 65∼ (Age) 75∼ (Age) 85∼ Summary

    USA3 ∼2021.4 Number of diagnoses 510,527 2,496,438 5,606,979 4,093,067 3,716,114 5,105,497 1,893,720 984,562 573,463 24,980,367

    Diagnosis ratio 2.04% 9.99% 22.45% 16.39% 14.88% 20.44% 7.58% 3.94% 2.30% 100.00%

    Number of deaths 127 319 2260 5193 12,715 65,660 95,022 122,347 140,129 443,772

    Mortality 0.02% 0.01% 0.04% 0.13% 0.34% 1.29% 5.02% 12.43% 24.44% 1.78%

    The mortality rates vary from region to region and among time points, but the trends are similar. Why do infants and young children have much lower mortality rates than adults? We reviewed the development of the immune system and noticed that the greatest change in the immune system with age may be in the number of naïve T cells. As shown in Figure 1A, at the time of birth, naïve T cells account for the vast majority of all peripheral T cells.9, 10 The number of naïve T cells decreases rapidly during childhood and then declines slowly after entering adulthood. This curve is similar to the mortality curve, although the trend is just the opposite (Figure 1B).1, 3 Indeed, recent COVID-19 studies have shown that the scarcity of naïve T cells in the peripheral blood is associated with poor outcomes.11, 12 Hence, we hypothesized that the change in the number of naïve T cells might contribute to the age-related trend in mortality due to COVID-19.



    The naïve T-cell trend with increasing age is opposite to that of age-related mortality

    Naïve T cells retain their specificity by expressing unique T-cell receptors (TCRs) but remain uncommitted to their helper fate until they encounter antigens presented by antigen-presenting cells (APCs). Each naïve T cell moves through the blood to the lymph nodes every 12–24 h, but only 1 in 105 naïve T cells may respond to any given antigen. If naïve T cells do not bind to any APC-presented MHC/antigen complexes, they exit through the thoracic duct and travel back into the blood. Once a naïve T cell encounters the corresponding MHC/antigen complex, it stops circulating, becomes activated, and proliferates and differentiates into effector and memory T cells with identical antigen specificity.


    Thus, the number of naïve T cells may be key to assisting the body in identifying and coping with SARS-CoV-2 infections. For everyone, both young and old, this virus is a new pathogen that has never been encountered by their immune system. Therefore, in children's immune systems, there is essentially no difference between SARS-CoV-2 and common pediatric pathogens such as respiratory viruses, enteroviruses, and conditioned pathogenic bacteria. The immune system needs only to recognize it, activate the adaptive immunity, and store the memory T cells, which is not different from the way in which these cells cope with other pathogens. For example, when a child first enters kindergarten, close contact with other children exposes the child to a large number of new pathogens in a short period of time, which may cause the child to be continuously infected by various bacteria or viruses. This process usually lasts for several months, and in some cases, it even lasts for one or two years. Thus, in children, SARS-CoV-2 may not be substantially different from other newly encountered pathogens.


    However, after childhood, the number of naïve T cells is significantly reduced, and memory T cells become the predominant subset throughout the body. Thus, in adults, especially the elderly population, the TCR diversity of naïve T cells that have the potential to recognize new antigens has been significantly reduced (compared with in childhood). It may happen that during many rounds of naïve T-cell patrol and circulation, a T-cell clone expressing a particular TCR that can recognize SARS-CoV-2 cannot be selected. If the immune system is unable to correctly identify a new antigen and activate the adaptive immune response, only innate immunity is activated to clear the pathogens, and the balance between viral reproduction and the innate immune response may be disrupted. If the immune system continues to fail to produce a specific adaptive immune response that can recognize SARS-CoV-2 over a long period, it is inevitable that the virus will attack all susceptible tissues and organs.


    It has been reported that the proportion of naïve T cells is significantly reduced in COVID-19 patients, whereas the effector and memory subsets are proportionally increased.13 In the above description, we focused on the general number of naïve T cells before the host encounters a new pathogen. However, when the host is invaded by a pathogen that has never been encountered before, naïve T cells are converted to effector/memory T cells. Once a T-cell clone expressing a particular TCR that can recognize SARS-CoV-2 is identified from the naïve T-cell pool, that particular clone will differentiate into effector/memory T cells, resulting in a decrease in the number of naïve T cells and an increase in the number of effector/memory T cells. Reassuringly, SARS-CoV-2-specific T cells were found in people who had recovered from asymptomatic cases of COVID-19.14 In addition, in patients with mild cases, higher proportions of SARS-CoV-2-specific CD8+ T cells were observed,15 and patients with severe cases experienced the loss of SARS-CoV-2-specific T cells.13 Overall, SARS-CoV-2-specific T cells appear to retain a more activated and less exhausted profile.13, 16 These observations indicate that in severe cases, it is likely that the host fails to identify a SARS-CoV-2-specific clone from the naïve T-cell pool. However, if SARS-CoV-2-specific T cells are successfully identified and proliferate in the periphery, even when severe lymphopenia develops, the patients may still recover.


    Generally, children seem to be more susceptible to infectious diseases than adults. However, this is most likely because adults have been exposed to various antigens and established immune memory of these repeatedly and chronically encountered antigens at an early age rather than the adult immune system has a better ability to recognize new antigens. Additionally, it is unlikely that the low mortality rate in children is due to a weaker inflammatory response in children than in adults. For example, it was reported that some children develop COVID-19-related Kawasaki-like syndrome,17, 18 which is characterized by a severe inflammatory response and long-lasting fever. It is less likely that SARS-CoV-2 induces more drastic inflammation than other pathogens but may be because in the area affected by the pandemic, the number of children potentially infected by SARS-CoV-2 is very large, increasing the likelihood of observing relatively rare cases of Kawasaki-like syndrome.


    Overall, the severity of and mortality due to COVID-19 are much lower in children than in adults. The number of age-related naïve T cells was not linearly related to the mortality of COVID-19 patients, which may be due to the changes in the diversity of TCR and the viability of naïve T cells. These changes may not be directly reflected in the number of naïve T cells, but they will significantly affect the ability to recognize newly emerging antigens. Thus, the immune system in patients with severe cases may have a “pathogen identification problem” rather than an “immune overreaction problem.” This may be a concise explanation for the observation that children with COVID-19 have mild symptoms and a low mortality rate. From this new perspective, increasing the number of naïve T cells or the diversity of TCRs may be a potential strategy to enhance the ability of the host to “search for and destroy” emerging deadly pathogens that have never been encountered by the immune system

  • Who Said this was a Pandemic of the Unvaccinated?

    Our stubborn politicians!!!

    Currently we (in Austria) have a majority of cases (75%)related to sparetime activities as a result of Apres ski (events)


    Après-Ski für drei Viertel der geklärten Corona-Fälle im Freizeitbereich verantwortlich
    Laut dem Protokoll der Corona-Kommission von dieser Woche fallen auch viele positive Corona-Fälle im Setting Hotel und Gastronomie unter den Bereich Après-Ski
    www.derstandard.at


    There is no reason for the unvaxx. to not enjoy a sunny winter day!!

  • Omicron less severe even for unvaccinated, South African study shows

    By Emily Crane

    Omicron less severe even for unvaccinated, South African study shows
    The study, led by the National Institute of Communicable Diseases, compared 11,609 patients from the first three COVID-19 waves with 5,144 patients from the…
    nypost.com



    Outcomes of laboratory-confirmed SARS-CoV-2 infection in the Omicron-driven fourth wave compared with previous waves in the Western Cape Province, South Africa


    Outcomes of laboratory-confirmed SARS-CoV-2 infection in the Omicron-driven fourth wave compared with previous waves in the Western Cape Province, South Africa
    Objectives We aimed to compare COVID-19 outcomes in the Omicron-driven fourth wave with prior waves in the Western Cape, the contribution of undiagnosed prior…
    www.medrxiv.org


    Abstract

    Objectives We aimed to compare COVID-19 outcomes in the Omicron-driven fourth wave with prior waves in the Western Cape, the contribution of undiagnosed prior infection to differences in outcomes in a context of high seroprevalence due to prior infection, and whether protection against severe disease conferred by prior infection and/or vaccination was maintained.


    Methods In this cohort study, we included public sector patients aged ≥20 years with a laboratory confirmed COVID-19 diagnosis between 14 November-11 December 2021 (wave four) and equivalent prior wave periods. We compared the risk between waves of the following outcomes using Cox regression: death, severe hospitalization or death and any hospitalization or death (all ≤14 days after diagnosis) adjusted for age, sex, comorbidities, geography, vaccination and prior infection.


    Results We included 5,144 patients from wave four and 11,609 from prior waves. Risk of all outcomes was lower in wave four compared to the Delta-driven wave three (adjusted Hazard Ratio (aHR) [95% confidence interval (CI)] for death 0.27 [0.19; 0.38]. Risk reduction was lower when adjusting for vaccination and prior diagnosed infection (aHR:0.41, 95% CI: 0.29; 0.59) and reduced further when accounting for unascertained prior infections (aHR: 0.72). Vaccine protection was maintained in wave four (aHR for outcome of death: 0.24; 95% CI: 0.10; 0.58).


    Conclusions In the Omicron-driven wave, severe COVID-19 outcomes were reduced mostly due to protection conferred by prior infection and/or vaccination, but intrinsically reduced virulence may account for an approximately 25% reduced risk of severe hospitalization or death compared to Delta.

  • Outcomes of laboratory-confirmed SARS-CoV-2 infection in the Omicron-driven fourth wave compared with previous waves in the Western Cape Province, South Africa

    This is a provaxx hit piece and totally un-serious.


    Funding Statement

    We acknowledge funding for the Western Cape Provincial Health Data Centre from the Western Cape Department of Health, the US National Institutes for Health (R01 HD080465, U01 AI069924), the Bill and Melinda Gates Foundation (1164272, 119327), the United States Agency for International Development (72067418CA00023), the European Union (101045989), the Wellcome Trust (203135/Z/16/Z, 222574) and the Medical Research Council of South Africa. RJW receives support from the Francis Crick Institute which is funded by Wellcome (FC0010218), MRC (UK) (FC0010218) and Cancer Research UK (FC0010218). He also receives support from Wellcome (203135, 222574) and the Medical Research Council of South Africa.


    Just using hand selected data from a database with no direct relation to Omicron cases.


    This is the ugly side of big pharma! just thrash the paper....

  • The AstraZeneca vaccine has side effects. :

    Europe

    Coronavirus: Rare spinal condition is side effect of AstraZeneca’s Covid-19 vaccine

    Transverse myelitis can cause weakness in the arms or legs, sensory symptoms or problems with bladder or bowel function

    European drug regulator said the condition has been added as an ‘adverse reaction of unknown frequency’ to the vaccines’ product information


    Rare spinal condition is side effect of AstraZeneca’s Covid-19 shot
    Transverse myelitis can cause weakness in the arms or legs, sensory symptoms or problems with bladder or bowel function.
    www.scmp.com



    A safety panel of the European drug regulator on Friday recommended adding a rare spinal inflammation called transverse myelitis as a side effect of AstraZeneca’s Covid-19 vaccine.

    The vaccine has faced several setbacks, including production delays and probes by regulators following rare cases of severe side effects such as blood clots with low platelets, which led to several countries restricting or stopping its use.

    The European Medicines Agency’s safety committee also reiterated its recommendation of a similar warning to be included for Johnson & Johnson’s one-shot vaccine.

    Transverse myelitis is characterised by an inflammation of one or both sides of the spinal cord and can cause weakness in the arms or legs, sensory symptoms or problems with bladder or bowel function.

  • waves seems to be on the list

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    interesting to study

  • About Alphonso Davies' vaccination, I'm not sure when his latest inoculation occurred.

    Just read an article in the Toronto Star newspaper this morning. Alphonso (the footballer) had his booster in December and tested positive for Covid earlier this month. No mention if he had any symptoms.

    This is consistent with a German pathologist's findings - that over 10 people who dropped dead had an autopsy revealing no problem with the heart, but when their cases were handed over to him, the heart tissue under the microscope revealed an entirely different picture. )

    Found the study and video of the pathologist sharing his findings. Most of the 15 patients died unexpectedly at home, or at work, etc. That is, most were not at hospital at the time of their death. Most were hypothesized to have died of arrhythmogenic heart failure, but no cause of death was determined. Later histogram examination of heart and other organ tissue revealed autoimmune attack by killer T lympocytes on the blood vessels and organs, especially the heart.


    Study:

    On COVID vaccines: why they cannot work, and irrefutable evidence of their causative role in deaths after vaccination
    In this document, Dr. Bhakdi points out that the organization of the immune system itself will prevent any and all intramuscularly injected vaccines from…
    doctors4covidethics.org


    Video:

    Prof. Arne Burkhardt MD: "COVID-19 "vaccines" can induce self-destruction "
    On December 10, 2021, Doctors for Covid Ethics and UK Column held a symposium where the highly claimed international speakers and experts brought the essential…
    www.bitchute.com


    Back in the summer another german scientist (pathologist) Dr. Peter Schirmacher of Heidelberg University made some headlines. From

    Undeclared vaccinated deaths? More autopsy needs to be done, says Dr Peter Schirmacher - Archyde
    According to the head of the department of pathology at the University of Heidelberg, many deaths caused by the vaccination campaign are probably never…
    www.archyde.com


    Dr Schirmacher works in the state of Baden-Wuertemberg alongside local prosecutors, police and doctors. He has already performed autopsies on more than 40 people who died within 15 days of vaccination. In his opinion, it is the vaccine that caused the death of between 30% and 40% of these people and he concludes that the fatal consequences of the vaccination are underestimated.



  • Just read an article in the Toronto Star newspaper this morning. Alphonso (the footballer) had his booster in December and tested positive for Covid earlier this month. No mention if he had any symptoms.

    There was one kicker in Germany that didn't take a vaccine and contracted CoV-19 with just minor complications. This caused a major storm in the vaccine terror FM/R/J/B state journals....


    Damaged people on the other side do not exist. These state fascist folks are far worse than Taliban's that at least know the risk...


    People today can see that all states with a high vaccination rate have far more Omicron cases and a higher raise above earlier peak than more free states like Sweden: https://www.worldometers.info/coronavirus/country/sweden/


    or UK,CH,Slovakia... These states also have far more deaths from Omicron. Worst is Jed' favorite South Korea....

  • Ivermectin Prophylaxis Used for COVID-19: A Citywide, Prospective, Observational Study of 223,128 Subjects Using Propensity Score Matching


    Ivermectin Prophylaxis Used for COVID-19: A Citywide, Prospective, Observational Study of 223,128 Subjects Using Propensity Score Matching
    Background: Ivermectin has demonstrated different mechanisms of action that potentially protect from both coronavirus disease 2019 (COVID-19) infection and…
    www.cureus.com


    Abstract

    Background: Ivermectin has demonstrated different mechanisms of action that potentially protect from both coronavirus disease 2019 (COVID-19) infection and COVID-19-related comorbidities. Based on the studies suggesting efficacy in prophylaxis combined with the known safety profile of ivermectin, a citywide prevention program using ivermectin for COVID-19 was implemented in Itajaí, a southern city in Brazil in the state of Santa Catarina. The objective of this study was to evaluate the impact of regular ivermectin use on subsequent COVID-19 infection and mortality rates.


    Materials and methods: We analyzed data from a prospective, observational study of the citywide COVID-19 prevention with ivermectin program, which was conducted between July 2020 and December 2020 in Itajaí, Brazil. Study design, institutional review board approval, and analysis of registry data occurred after completion of the program. The program consisted of inviting the entire population of Itajaí to a medical visit to enroll in the program and to compile baseline, personal, demographic, and medical information. In the absence of contraindications, ivermectin was offered as an optional treatment to be taken for two consecutive days every 15 days at a dose of 0.2 mg/kg/day. In cases where a participating citizen of Itajaí became ill with COVID-19, they were recommended not to use ivermectin or any other medication in early outpatient treatment. Clinical outcomes of infection, hospitalization, and death were automatically reported and entered into the registry in real time. Study analysis consisted of comparing ivermectin users with non-users using cohorts of infected patients propensity score-matched by age, sex, and comorbidities. COVID-19 infection and mortality rates were analyzed with and without the use of propensity score matching (PSM).


    Results: Of the 223,128 citizens of Itajaí considered for the study, a total of 159,561 subjects were included in the analysis: 113,845 (71.3%) regular ivermectin users and 45,716 (23.3%) non-users. Of these, 4,311 ivermectin users were infected, among which 4,197 were from the city of Itajaí (3.7% infection rate), and 3,034 non-users (from Itajaí) were infected (6.6% infection rate), with a 44% reduction in COVID-19 infection rate (risk ratio [RR], 0.56; 95% confidence interval (95% CI), 0.53-0.58; p < 0.0001). Using PSM, two cohorts of 3,034 subjects suffering from COVID-19 infection were compared. The regular use of ivermectin led to a 68% reduction in COVID-19 mortality (25 [0.8%] versus 79 [2.6%] among ivermectin non-users; RR, 0.32; 95% CI, 0.20-0.49; p < 0.0001). When adjusted for residual variables, reduction in mortality rate was 70% (RR, 0.30; 95% CI, 0.19-0.46; p < 0.0001). There was a 56% reduction in hospitalization rate (44 versus 99 hospitalizations among ivermectin users and non-users, respectively; RR, 0.44; 95% CI, 0.31-0.63; p < 0.0001). After adjustment for residual variables, reduction in hospitalization rate was 67% (RR, 0.33; 95% CI, 023-0.66; p < 0.0001).


    Conclusion: In this large PSM study, regular use of ivermectin as a prophylactic agent was associated with significantly reduced COVID-19 infection, hospitalization, and mortality rates.

  • UK vaccine report Week 2: https://assets.publishing.serv…ce-report-week-2-2022.pdf


    98.7% have S anti bodies. This means if 20% did not take the vaccine 18.7% (absolute figure) of them had an infection so the UK infection rate would be 18.7/20 or about 93%....

    This means you can simply forget all statistics about vaccine protection if you have > 90% recovered...


    This is also obvious from the actual rate data that now claims younger are now less protected from vaccines than older...


    So we are now in the crappy data phase where it makes 0 = zero sense to look at rates etc.

  • RossiSpeak ?

    On the other hand, two days ago Rossi was very blunt when asked if he had the funds to start manufacturing one million units : "No".

    One would think that answer should be generating a tidal wave of concern, but I haven't seen it.



    2022-01-13 11:18 Frank Acland

    Dear Andrea,

    Let’s assume hit the 1 million orders needed to start production. Obviously you will need funds to start production.

    Since you are not taking up-front payments from customers, do you have the necessary funds to mass produce Ecats, before customer payments start coming in?

    Thank you and best wishes,

    Frank Acland


    2022-01-13 12:00 Andrea Rossi

    Frank Acland:

    No.

    Warm Regards,

    A.R.

  • On the other hand, two days ago Rossi was very blunt when asked if he had the funds to start manufacturing one million units : "No".

    One would think that answer should be generating a tidal wave of concern, but I haven't seen it.

    I noticed that also. The minions are too blind in their anticipation of the revolution. I think, Rossi just misunderstood the question, like whether he needs payments for funding production. Anyway, production certainly will never start because you need a product for that.

    I repeat what I wrote before, we are now in the phase of regained enthusiasm and shortly before a new development which will make the SKLep obsolete. My guess is, that the process of slowly winding back could take 6 to 12 months.

    Quote

    The old Rossi game. Announcements, growing expectations, wacky presentation, frustration and disappointment, discussions if it really was that bad, enthusiasm of followers slowly growing again, presentation was great after all, however still no product, announcement of new, even better iteration of the E-Cat, repeat.

  • r/conspiracy lies that German doctors have found incontrovertible proof of contaminants in the vaccines.
    https://archive.is/Ju1z7 Before we talk about the abysmal standards of evidence, let's start with the obvious facts about the linked...
    www.reddit.com

  • This is a wonderful Wyttenfactual argument, made here many times. I think perhaps W gets emboldened when I don't bother to reply, goes on repeating obvious errors. I thought everyone would appreciate understanding here why I reply so little to this stuff. In this case I have no idea whether the figures here is arithmetic mistake, or "extra magic information not mentioned" mistake. In addition to the oft-present logical errors.


    Here goes.


    S antibodies come from either the vaccine or the infection. (N would be infection only).


    In order reach any conclusions about infection rate from this we have not only to know the vaccination rate, but also to assume that infection has no correlation with vaccination.


    W's 93% figure is totally uncorrectable because he has plucked it from nowhere. It is not 0.987 * 20% - which is what you might expect his (still erroneous) argument to be.


    For example, he might have taken some figure from the same data for vaccination rate, and used that (again erroneously, because assuming lack of correlation) to deduce thr 93%. To which my reply would be - yes, but that is only true if vaccination is not correlated (over the epidemic) with infection. Obviously it is.


    Where I agree with W is that these arguments, and the similar ones he unceasingly posts, are rubbish.


    I'd appreciate though if he spelled out with precision the details so that the rubbishness of them could be more clearly explained?


    THH

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