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ALERT! In country after country after country, “COVID deaths” and “cases” started spiking only AFTER the rollout of those “vaccines”

Beware of Greeks Bearing Gifts
The proof “vaccinations” are causing Covid-19-classified “deaths” and “cases”

If you have not read my previous post on this subject, “Farr’s Law vs Modern Vaccinology”, I highly recommend to start there as I don’t want to repeat exactly same arguments here.

Just briefly, many countries that did not have any Covid-19 cases for quite a while, if at all, suddenly find themselves in an epidemic wave as soon as they commence with Covid-19 “vaccinations”. On or two of these could be discounted as a coincidence, but many more make it a pattern. I posit that the “vaccinations” themselves are these “Covid-19” waves, doing all the harm for no good at all. The adverse reactions and deaths are blamed on “Covid-19” and misclassified, plus the lowering of one’s immune responses, definitely for a 2-4week period post-jab (more on this in my first post in this series, “Hiding in Plain Sight“), may actually provoke the Covid-19 spikes from that point onward, if there is any virus in circulation. Let’s examine the evidence.

The caveats are in order. The statistical data available on per country basis varies considerably in quality, reporting delays, “bunching up” of multiple days-worth of data at a time. Also, the cumulative data sometimes does not agree too well with 7-day averages or daily statistics. So, we are looking at newly established bureaucratic data collection systems as they learn and evolve. So we should, on one hand, give them some slack and, on the other hand, try our best to see the forest for the trees. Another quirkiness to be aware of is that not all batches of “vaccines” are created equal, on purpose or otherwise. I can provide so far two solid pieces of evidence in this regard. One is the already mentioned by me article in THE EXPOSE from Nov.1, 2021 “EXCLUSIVE – 100% of Covid-19 Vaccine Deaths were caused by just 5% of the batches produced according to official Government data”, and a follow-up to it by Karl Denninger (thanks, MikeJ!). Another one is the leak of the EMA correspondence in regard to the manufacturing and control processes of Pfizer’s “vaccine”, and then the flurry of cover-the-damage communiques and announcements that followed, as described in “Data Leak Exposes Early COVID-19 Vaccine Manufacturing Hiccups”. Please let me know if you have other corroborating evidence.

Our North Star in this endeavour will be the brilliant observation by William Farr from c.a. 1840 that “The death rate is a fact; anything beyond this is an inference”. Therefore, we always identify when the Covid-19-reported deaths start picking up in any given country, and then snoop around for other concomitant clues. Except to stress that we are not talking the old run-of-the-mill epidemic deaths here. As has been brilliantly described by Scott McLachlan and re-posted by Mathew Crawford in “Estimating Vaccine-Induced Mortality, Part I” back in Jul. 2021: “When you bring the three components (spreadsheets) of the VAERS data together you will note the first recorded symptom that is reported for every person who died in the column called Symptom 1, by the VAERS people rather than the reporter, is COVID-19. When by email to the CDC VAERS email account I requested why COVID-19 was recorded against every person we were told that: this is so we can be certain they are recorded in the national COVID-19 case and death statistics. The people running VAERS consider the deaths to be COVID-19 related, not COVID-19 vaccine related.” It seems from the data below that this practice has been institutionalized worldwide. So, when we see Covid-19 attributed deaths occurring concomitantly with the “vaccination” drives, we will know that we are dealing here, in reality, with “vaccine” produced deaths, ditto for cases.

I am trying to use daily data charts, whenever available, otherwise weekly of cumulative graphs whichever has more data points. On the left there are vaccination doses given and, below, the cumulative graph of people vaccinated. In the right column, the deaths chart is on the top (as the most reliable, according to William Farr, indicator) and the cases chart is below. With all these beautiful charts at our disposal (courtecy of ourworldindata.org), let’s get down to business, starting with the most notorious examples.

1. Cambodia
Population: 16.7 million. Having no more than 478 cases all the way till Feb. 10, 2021 and 0 (zero) deaths, Cambodian authorities thought it imperative to vaccinate its people to protect them from the looming threat. First noticeable jabs started flowing into people’s arms around Feb. 19, 2021. We can see immediate response in cases. It seems like the first batches used were non-lethal as the Covid-19″ deaths started picking up only after Mar. 10, 2021, by which time they managed to vaccinate the whopping 1.26% of its people. It has not been as good for Cambodians never since Mar. 10, and the deaths are now popping together and in tandem with the “vaccination” drives. Oct. 31, 2021: 2,788 cumulative deaths and 118,427 cases.

2. Mongolia
Population: 3.3 million. Being as lucky as Cambodia, if not more, Mongolia had just a 2 registered Covid-19 deaths and 3,372 cases all the way to Mar. 8, 2021! No matter, have to vaccinate, we are all in it together. So they did, also somewhere around Mar. 10, 2021. They were not so lucky as Cambodia, as the deaths have ensued immediately, and now stay with them for the foreseeable future. The cases so some initial timid awakening starting Mar. 6, when the actual first jabs started occurring, it seems. The rest is history. By Oct.31, 2021: 1, 745 deaths and 360.317 cases.

3. Laos
Up till Apr. 20, 2021, Laos counted whopping 60 Covid-19 cases and 1 (one) fatality throughout the whole course of the pandemic for the population of about 6.5 million. The conclusion: gotta get vaccinated! And so they did, starting at around or few days before Apr. 22. They started registering their first Covid-19 “deaths” after May 9 (as lucky as Cambodia with the milder trial jabs?), the cases picked up right away though. And after Sep. 28, about close to 5 months later, the deaths are picking up faster than ever, even a “vaccinations’ are winding down. As of Oct. 31, the total Covid-19 attributed deaths stood at 65, and total cases at 40,271. On the plus side, about 40% of the population is at least partially protected from the ravages of Covid-19.

4. Vietnam
Staying in the same geographic region, and probably the with the same brands and even batches of vaccines as Cambodia and Laos, Vietnam counted 2,824 Covid-19 attributed cases and 35 deaths for the population of over 97 million up until its vaccination launch around Apr. 22, 2021. Gotta vaccinate! Again, first month went unremarkably, but after May 26 the vaccination drive got new, more potent supplies that are staying robust till the present day. “Covid-19” deaths followed after Jun. 2, 2021, in parallel with a pick-up in cases. By Oct.31, they accumulated the grand total of 921,122 cases and 22,083 deaths, for the 58% “1 dose plus” vaccination rate. Some would say, the benefits still outweigh the risk.

5. Thailand
Population: 70 million. One of the lucky countries all the way until “vaccination”, when their luck suddenly ran out: 95 Covid-19 attributed deaths and 29,031 cases until Apr. 4, 2021. The “vaccination” drive commenced around Apr. 5, with immediate pick-up in cases and deaths following 10 days later. As the vaccination drive is still going strong, so do Covid-19 attributed deaths and cases. As of Oct. 31 they have counted 19,205 Covid-19 attributed deaths and 1.91 million (!) cases. The current “vaccination” rate stands around 59%, with more ways to go, yikes!

6. Seychelles
By Dec. 28, 2020, Seychelles counted 221 cases and 1 (one) Covid-19 attributed death. Vaccination started, judging by the graphs, around Dec. 29, 2020. Deaths commenced after Jan. 4, cases picked up on Dec. 29. No grace period, unlike in Laos, Cambodia or Vietnam. Probably because of independent and different “vaccine” batches. Look at the graphs – they speak for themselves. By Oct. 31.2021, Seychelles counted 119 deaths and 22,243 cases for the population of 98,462. I.e., 22.6% of the population was tested with Covid-19 in 10 months, all for the “vaccination” rate of 82%.

7. Bahrain
Population: 1.7 million. It had a fair share of Covid-19 disease in the course of 202, but the situation had greatly improved by Dec. 1, 2020, and the lull lasted until about Jan. 5, 2021, when the “vaccination” campaign kicked in high gear. The deaths and cases accompanied this drive until it wound down by the beginning of Aug., 2021. The consolation prize: 67% “vaccination” rate.

8. Uruguay
Population: 3.5 million. It had a peak in Covid-19 disease on Jan. 14, but it subsided considerably by Fab. 15, 2021, as per Farr’s Law. The vaccination data are murky around this point, but by the looks of it, the “vaccination” campaign commenced around Feb. 20, 2021 and went full steam ahead until the middle of September 2021. For a massive “vaccination” drive, they received a massive reversal of fortunes in the form of Covid-19 attributed deaths and cases. On Feb,.20, 2021, there were 69 registered Covid-19 deaths and 52,163 cases. On Oct. 31, 2021, there are now 6,077 Covid-19 attributed deaths and 393,718 cases, and counting; the “vaccination” rate at just over 79%.

9. Trinidad and Tobago
Population: 1.4 million. They had their Covid-19 spike in Aug.-Oct 202, and then from Nov. 2021 a lull. As of Apr. 10, 2021: 145 cumulative Covid-19 deaths and 8,382 cases. Gotta jab! As Einstein said: “Insanity is doing the same thing over and over and expecting different results.” The result has been predictable by now: an immediate pick-up in Covid-19 attributed deaths and cases after Apr. 10, 2021. As of Oct. 31, 2021: 1,696 Covid-19 attributed deaths and 57,329 cases.

10. Oceania
A world region comprised of Australia, New Zealand, and Papua New Guinea. Population: 43.4 million. They had a spike of Covid-19 disease in Jul.-Oct. 2020, but then a lull until about Feb.15, 2021, when the inevitable happened and they started jabbing like rabbits to never look back. Here’s what they gained from that (words are superfluous):

By Feb.15, 2021: cumulative 946 deaths and 32,239 cases. Eight and a half months later, by Oct. 30, 2021: cumulative 2,805 deaths and 258,287 cases.

Are conclusions really necessary at this point?
If you think so, please contribute them in the comments below.

Just one last remark. The epidemic waves ought to follow a bell curve, as has been first astutely observed by W. Farr in 1840. The laws of nature are immutable. Do the death charts above look anything like bell curves to you? Neither to me. For the classical examples of the latter in the context of Covid-19, please behold the Covid-19 waves in Portugal around Jan. 29 and India around May 6 of this year (even though India distorts the down-slope with its commenced, around May 20, “vaccination” drive, so it can’t fall symmetrically to India’s pre-spike level):

So, we are dealing here with a different animal completely, beyond a reasonable doubt. 

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