Steve Kirsch: Gunfight at the OK Corral

Sheriff Steve Kirsch organized [1] a showdown at the OK Corral to kill detractors who were shooting down his analysis of the NZ “whistleblower” dataset (NZWD). I was not invited.

Like those who had examined the data weeks ago, because I only got the dataset much later.

Anyway, I would have shot the sheriff, because the fastest gun in the west can misfire.

Most detractors also have dud weapons targeting mostly data errors.

All real-world raw data have errors. The question is: whether the data errors are significant. My assessment is that the NZWD is of good quality, because the data errors are small in number or insignificant in magnitude.

The NZWD sample has between 33 to 43 percent of the NZ whole population data depending on whether dose or person measure is used. The age distribution of the NZWD sample is sufficiently representative of the population, with the same median age of 37.

However, from one-third of all New Zealand doses, 37,315 total deaths in NZWD are all-cause deaths from the start of mass vaccination. If the deaths were only excess deaths, then it may be reasonable to assume that the deaths are all causally associated with COVID vaccination, but they are not.

To give a simple example, suppose a Kiwi had terminal cancer and had one month to live and was given a dose x. Why? It doesn’t matter whether it makes sense, because it is a pay-for-dose system. That Kiwi’s death after one-month would have been entered into the NZWD.

It probably would have frightened the whistleblower to act, but it would be a stretch to interpret that death as due to vaccination. It would require baselines to estimate the part of all NZWD deaths which can be attributed to vaccination. Where do the baselines come from?

Therefore, the NZWD sample by itself cannot be used to prove causality of vaccination deaths, but it is useful for other purposes. For example, the NZWD sample shows the following time-to-death distribution after the last dose.

Each point (random colour) represents total all-cause deaths after the last dose (whatever dose number) within a particular week. The last dose is not necessarily the cause of death.

Even though the distribution includes all deaths, whether they are caused by vaccination or not, it shows temporal information. Regardless of potential death under-estimates in the first two weeks of the NZWD sample, the data show that it takes time to die after vaccination (whether caused by it or not).

Causality necessarily requires that cause must temporally precede effect. Many epidemiological studies, including one frequently cited, have falsely claimed to have proved cause by finding synchronous correlations between vaccination and deaths, in the data for many countries including New Zealand.

The NZWD has clearly falsified the notion of synchronous correlation. The fallacy can also be seen easily with the naked eye in the following chart, which shows random association.

A simple calculation of the correlation coefficient shows anti-correlation, but it is not highly statistically significant.

There is a total absence of synchronicity in the observed data, unless excess deaths are lagged substantially in time after vaccination as suggested by the time-to-death distribution of NZWD – it takes time generally for medication to work.

Causality (“vaccination kills”) has been proven for Australian data [2] by finding significant and predictive positive correlation between vaccination and excess deaths followed 21 weeks later. On average, 0.8 Australians are killed per 1,000 doses.

The NZWD sample cannot be used to prove causation without establishing consistent temporal separation between doses and deaths. Therefore, I shot the sheriff because his NZWD gun is not what it cracks up to be.

References

[1] Kirsch S. “Shootout at the OK Corral” this Sat, 9am PST on X Spaces. Steve Kirsch’s newsletter 8 December 2023, https://kirschsubstack.com/p/shootout-at-the-ok-corral-this-sat?utm_source=profile&utm_medium=reader2

[2] Sy W. Early Indication of Long-Term Impact of COVID Injections. Medical & Clinical Research 2023; 8(10), 01-06. https://www.medclinrese.org/open-access/early-indication-of-longterm-impact-of-covid-injections.pdf

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Comments (2)

  • Avatar

    Barry

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    Looks like about a one year delay in all cause death. But very definetly can see a pattern.

    Reply

  • Avatar

    VOWG

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    The shots are killing people. Wake up people, we don’t need to talk this to death, no [pun intended, but we have to stop the covid lie and stop shooting poison into human beings pretending we are curing something, which we are not.

    Reply

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