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Tuesday, February 27, 2024
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HomeCOVID-19The missing data that could prove whether the covid 'vaccines' are safe

The missing data that could prove whether the covid ‘vaccines’ are safe

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On December 4 2023 Professor Norman Fenton, a world-leading expert on risk assessment and statistics, attended the Parliament meeting arranged by Andrew Bridgen MP at which a number of short, powerful presentations challenged the ‘official’ covid narrative and especially the safety of the ‘vaccines’. After the presentations the MPs who were there were invited to ask questions. David Davis MP asked Steve Kirsch (who had spoken about the importance of the leaked New Zealand data) what hypotheses he should present to the Office for National Statistics (ONS) to obtain the kind of ‘record-level’ data that would finally end all debate about whether or not the vaccines were safe and effective. Robert Malone suggested Professor Fenton should answer the question and he agreed to provide the necessary breakdown and details in an email, which he subsequently sent to Mr Davis. The statement of the data and analysis required from the ONS to elucidate causes of excess deaths that he sent follows. No reply has been yet received from Mr Davis as to whether he proposes to request this from the ONS or not.

HERE is the statement about this that we have sent to Mr Davis:

Questions and Hypotheses for David Davis MP in seeking relevant data from the ONS

In what follows all data we seek and all hypotheses are specific to each different age group, where the age groups should (except for <15 years and >90 years) be at level of granularity of five years, ie age groups:

0-14, 15-19, 20-24, . . . 80-84, 85-89, 90+

To properly test the hypotheses below we require the following (suitably anonymised) data for each UK resident for whom there is any medical record (GP registration, NHS number, vaccination record etc) in the UK between December 2020 and December 2023:

  • Age;
  • List of serious comorbidities recorded prior to December 2020;
  • Number of hospital visits recorded in the year prior to December 2020
  • Date of any new recorded serious illness;
  • Date of each covid vaccination if any;
  • Date of each covid case if any;
  • Dates of each hospitalisation if any and whether or not covid was the primary cause;
  • Date of death (if died) and whether or not covid was the primary cause.

We recognise that this data will likely not be held in a single database, but it is surely in the national interest and the capability of the ONS (and only the ONS) to collate this information. This will enable us to accurately determine the following figures in each one-week period between December 2020 and December 2023:

  1. The number of covid classified <deaths> <hospitalisations> <cases> per 100K <ever vaccinated>  <1 dose>  <2 dose>  <3 dose> <4 dose> <more than 4 dose>;
  2. The number of covid classified <deaths> <hospitalisations> <cases> per 100K never vaccinated;
  3. The number of non-covid classified <deaths> <hospitalisations> <new serious illnesses> per 100K <ever vaccinated>  <1 dose>  <2 dose>  <3 dose> <4 dose> <more than 4 dose>;
  4. The number of non-covid classified <deaths> <hospitalisations> <new serious illnesses> per 100K never vaccinated;
  5. The proportion of covid classified cases which led to subsequent hospitalisation for covid;
  6. The proportion of covid classified deaths in which no other cause of death was recorded;
  7. Whether all the above are affected by comorbidities that may influence the mortality outcomes as either the healthy (or unhealthy) vaccinee effects as confounders.

These figures will enable us to test the following hypotheses for each specific age group:

  • Hypothesis 1 (vaccine saves more people than it kills): ‘In this age group, with this health profile, the all-cause mortality rate between December 2020 and December 2023 is lower in the ever vaccinated than the never vaccinated.’
  • Hypothesis 2 (vaccine reduces covid):  ‘In this age group, with this health profile, the covid infection rate between December 2020 and December 2023 is lower in the ever vaccinated than the never vaccinated.’
  • Hypothesis 3 (vaccinated suffer less severe covid): ‘In this age group, with this health profile, the hospitalisation rate for those classified as covid cases between December 2020 and December 2023 is lower in the ever vaccinated than the never vaccinated.’
  • Hypothesis 4 (vaccine efficacy and safety increases with more doses): ‘In this age group, with this health profile,  the all-cause mortality rate between December 2020 and December 2023 decreases with each additional dose.’
  • Hypothesis 5 (vaccine adverse reactions): ‘In this age group, with this health profile,  between December 2020 and December 2023 there is no significant difference in rate of new serious illnesses between the never vaccinated and the ever vaccinated (similarly no significant differences depending on number of vaccine doses).’

The figures in item 5 address all hypotheses relating to the accuracy of covid testing and its severity, while the figures in item 6 address all hypotheses relating to the accuracy of the covid death classification.

The original article was co-authored by Martin Neil. It appeared on Where are the numbers? on December 14, 2023, and is republished by kind permission. 

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Norman Fenton
Norman Fenton
Norman Fenton is a British mathematician and computer scientist. He is Professor of Risk Information Management in the School of Electronic Engineering and Computer Science at Queen Mary University of London.

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