New Zealand MOH Data

Hospitalisation / ICU / Death / Injection Status

The NZ MOH data requested under an Official Information Act 1982 (OIA H202204606/OMB 579799) in December 2021 is most ably ventilated and discussed (09:32 mark) by Grant Dixon.

The Ombudsman finally expedited the release of this data, which took place in August 2022, more than six months after the initial request. The data sought to properly reveal the injection status of the hospitalised, ICU and the dead in New Zealand.

This data is extracted and presented graphically below.

The temporal association seems clear, and shows repeatability with injection/booster re-challenge. As others have pointed out, the absence of a contrasting annual mortality rate for comparable periods and uncertainty around the real cause of death in addition to the nebulousness surrounding case number determining methodology, makes interpretation tricky. Some also argue that this is intentional.

Case numbers represent a highly debatable data set (high false positive rate with no pathognomic clinical indicator, as the WHO non-specific diagnostic criteria for COVID illustrate). Therefore, we should also treat with suspicion COVID attributed hospitalisations / ICU / death for much the same reason, together with the absence of data, re. cause(s) of death, serious co-morbidities and age).

The only reliable data would seem to be the values for hospitalisation number, injection data, ICU number and death number.

The missing data is the usual seasonal affliction rate that wold lend significant perspective, as hospitalisation for Nil Shots could be framed against usual seasonal affliction to show excess deaths (if they exist).

For the first graph, I have combined all injection numbers (Any number of Shots), only separating out booster death, which appears as a leading reason for Shot associated death.

Overview Of Those Currently Injected

See here (08:48 mark)

Total population injected in NZ is 16% (did not receive first shot) rising to 19% (did not receive second shot) and currently, 47% (did not receive booster).

Of the ‘eligible’ (aka ‘coerced’) population, 8% wisely declined the first shot, 9% ditto, second shot and finally with escalating awareness, 31% ditto, booster.

It seems reasonable to conclude that there are a fair number of unhappy, well informed, critical thinkers in New Zealand.

Key Observations

The temporal association with Pfizer injections and hospitalisations / ICU / deaths (notably “boosters”) is well demonstrated above in the above graph, far eclipsing the Nil Shots. However, being hospitalised and in receipt of Any Number of Shots (Any/All Shots) at the end of July (n= 1494) with the number of deaths (n=270), suggests nearly 1:6 entering hospital perished. I’ll examine this ratio more closely next.

Given the clarity and repeatability of this association it seems abundantly clear that the Pfizer shots were/are neither effective nor safe, an observation already highlighted in the literature and reported and ethically commented upon in other jurisdictions in addition to the very recent CATASTROPHIC Israeli cover-up of COVID vaccine harms: Yaffa Shir-Raz, health researcher in Israel, blows the whistle and releases twitter (10 posts) of what she uncovered & what Israel is hiding.

Further analysis of the data shows for the more recent 5 months (March 2022 - July 2022), the mean proportion of hospitalised recipients of Any/All Shots compared with Nil Shots was 86.33% (range: 75.85% - 91.77%). The trend in proportion was linear, increasing month on month. By a country mile, the hospitals were filled with the injected, begging the question over vaccine associated enhanced disease, already discussed elsewhere.

Interestingly, the ratio between hospitalisation and death over the a similar time span (February 2022 - July 2022) comparing Any/All Shots against Nil Shots is revealed in the graph below. Astonishingly, the ratio is almost exactly the same, tracking identically month on month with the same inflection points between those in receipt of Any/All Shots and those with Nil Shots.

Ratio derived from the NZ MOH data and positive confounding of death exposed in the Hospitalised Any/All Shots

Example for Hospitalised in April 2022

NZ MOH data

Any/all shots ~ Partially vaccinated: 21 + Fully vaccinated: 372 + Booster: 705

= 1098

Death: Partially vaccinated: 0 + Fully vaccinated: 54 + Booster: 171

= 225

Ratio: 1098/225 = 4.88

Nil shots ~ 168 hospitalisd; 48 death

Ratio: 168/48 = 3.5

Near perfect concordance between Hospitalised/Death Ratio for Any/All Shots and Nil Shots; Pearson correlation: R = 0.9791; p < .01

The red line shows the multiples of Death Any/All Shot against Nil Shot in the Hospitalised. This is a function of the fact that while the ratio between Death and Any/All Shot or Nil Shot is concordant, because Any/All Shot are hospitalised at an order of magnitude greater than Nil Shot, the positive confounding is horrific.

It is fascinating that the once the confounding is removed from the recipients of any/all injections the ratio between hospitalisation and death in either group (injected/uninjected) track with the same inflections, almost identically, month on month. The six month span would reasonably exclude coincidence. Those not eligible for ‘vaccination’ <12yrs were excluded from this hospitalisation / death analysis. As a group they experienced no deaths in the 6 mo period.

Post-Script

After considering the potential reasons why it appears to make no difference if one is hospitalised (whether injected or not) regarding the outcome, death, a number of potential conclusions appear:

1. The data is nonsense. This appears less likely because the examined variables ~ hospitalisation and death are definitive rather than open to interpretation.

2. Dare I suggest, the obvious?

   Assuming the two hospitalised groups Any/All Shots v Nil Shots are reasonably matched (and it seems fair to assume they are; they are both defined as hospitalised ‘cases’), it appears that being a recipient of Any/All Shots confers NO PROTECTION against death in the hospitalised setting as compared with Nil Shots.

   The ratios between the two hospitalised groups (Any/All Shots v Nil Shots) has a r value of 0.97 (Pearson co-efficient) with a p value of <0.01, ie. the concordance between the two sets of ratios is nigh on perfect, and for the sake of the approved narrative, a most unexpected finding.

3. If Any/All Shots demonstrated effectiveness, one would not expect to see a greater number of Any/All Shots in the hospitalised compared with the Nil Shot. Further, for a given numerator (hospitalisations) one would expect a reduced denominator (death) (and increasing ratio value) in the Any/All Shots when compared against the corresponding monthly values and derived ratio for Nil Shot. The reality is that there appears to be no difference (see, 2)

4. The data shows that being in receipt of Any/All Shots results in hospitalisation (ie. severe symptoms ~ positive confounding associated with Any/All Shots) and death at an order of magnitude greater than the hospitalised Nil Shot.

5. In the hospitalised, Any/All Shots do not appear to alter the probability of death when compared with Nil Shot.

6. These ratios remain consistent across a six month period of NZ MOH (Feb 2022 - JUL 2022) hospitalisation data. Prior, there were insufficient data to highlight the observations.

7. These data appear to suggest an absence of evident safety and effectiveness for the Any/All Shot hospitalised.