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I may have discussed my Singapore related investigations here before so if you've read something similar, apologies in advance.

After discovering an article on The Federalist that later became tricky to share on social media, I found that Singapore was registering covid deaths ONLY if they came with an attendant diagnosis of pneumonia, unlike in the UK where at that time, ANY death for ANY reason within 28 days of a positive test was registered as a covid death. Singapore's approach makes sense because the R in SARS stands for Respiratory & not for Run-Over-By-Bus.

https://thefederalist.com/2020/11/04/cdc-data-suggest-lockdowns-could-kill-as-many-people-as-covid/

"Singapore, for example, only counts deaths as COVID deaths if they are accompanied by pneumonia."

At this time, prior to it's vaccine rollout mid-2021, Singapore was reporting just over 60 000 covid cases but only 30 dead, producing a CFR (Case Fatality Rate) or as I called it at the time, Deaths-to-Cases rate, of 0.05%. The UK however was reporting 3.8 million cases+ & almost 127 000 deaths, which produces a CFR or Deaths-to-Cases rate of 2.9%. All stats came from Worldometer.

2.9% is almost SIXTY times higher than 0.05%. So I'd wager that the UK's deliberately flawed methodology was raising the initial pandemic fatality figures to around sixty times higher than they should have been. I'd also wager that Midazolam Matts "pandemic measures" were further driving excess deaths that were to be pinned on covid rather than the accelerated end-of-life pathways that were truly to blame.

What is especially interesting is how quickly Singapore's CFR or Deaths-to-Cases rate changed once their rollout picked up around May/June of 2021. Using Worldometer, I checked regularly, & posted & kept many screenshots. I was able to watch, almost live & in real time, as the data & statistics from Singapore changed. Referring to one of these screenshots that I made in Nov 2021, I can see that within about six months of Singapore's rollout, they were now reporting almost 249 000 cases (up from 60 000 in March 2021) & 641 deaths, raising their initial, pre-rollout CFR or Deaths-to-Cases rate from 0.05% in March 2021 to 0.257% in November 2021, an almost six-fold increase. In the six months following their rollout, Singapore's deaths from covid has risen almost six-fold compared to before any vaccines appeared there.

I had already been concerned at the speed of the rollout & the rush to get completely novel vaccines made using completely novel techniques into the arms of almost every single person on earth despite a complete lack of safety & efficacy data that was not being presented by those pushing the hard sell. In other words, only those who had made these vaccines & only those who were pushing the vaccines were in a position to present data as to their efficacy & safety & I prefer to get a slightly more independent analysis before rolling up my sleeves to be experimented upon. Tiffany Pontes Dover had already dropped on live TV in late 2020, & once I realised she was never going to be seen again, my concerns that the vaccines were dangerously unsafe put me off them, permanently. The data out of Singapore simply confirmed my suspicions. 1) They don't work & 2) they ARE dangerous.

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Have you written this up on your Substack? Please provide link!

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No, I don't think I have but I could add some of those screenshots to these words, so let me go do that shortly.

Sorry by the way, I have edited Joe to Joel.

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very good of you to crosspost, thanks tons :)

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Excellent. Thank you!

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Pneumonia? Were bronchial spasms neglected?

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Fair question, I don't know.

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Anyone who hasn't, please subscribe to me Substack. Not you Joel ;) Hope you're well!

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Even though they aren't vaccines, the one reason I like everyone still calling them vaccines is that it taints all other vaccines with the stain of the mRNA vaccines. Other "real" vaccines aren't "safe and effective" either.

Plus, it's the reverse of what these criminals tried to do. They tried to legitimize these mRNA injections by calling them vaccines. It's one part of the reason so many were seduced into taking them. Now let the mRNA injections delegitimize all other vaccines.

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They really "got us" when they passed off the flu vaccines as "vaccines." Everyone accepted these were, in fact, vaccines. But they were "vaccines" that neither prevented infection or spread. People still line up to get them every year. Doesn't matter that the "vaccine" doesn't prevent you from getting a disease, which, once upon a time, was the layman's definition of what a "vaccine" does.

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I believe that although the UK was hit by Long Covid, Singapore is suffering mainly from Climate Change, being so much further south. And, as we all know, Climate Change has reached critical levels since 2020.

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Ha ha ha ha! Very funny!

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Some of us still haven't lost the ability to detect sarcasm. I expected a hailstorm of indignation...

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Compounded by the humidity.

We used to have an office in that city and I always hated traveling there.... there were two seasons - hot and humid... hot humid and raining...

It felt like pulling back the folds of fat on the arse crack of a morbidly obese street hooker replete with sweat pimples and stench... small animals set up shop in there...

Add climate change and covid and masks and that's a recipe for Frankendisease

Singapore is basically ... the actual arsehole of the world.

The women tend to be fit and hot ... but they a bit 'Hello Kitty-ish' and they say la all the time...and they do what they are told (cuz otherwise they get lashed)

Weird place.

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If the ISD-10/11 codes for not fully vaccinated and not vaccinated become popular then it will become easy for the data set to leak and the full extent of the incorrect binning to become clear.

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I have made this point a couple of times. I don't believe all the negative implications of this code change. I think this cloud has a silver lining!

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To put a finer but essential point on it, the stats that tower way above all are the health outcomes for those did or did not get the COVID jabs who were free of significant pre-exiting health issues. How about filtering it down to those who were on no medications prior to being jabbed, which should be a matter of record?

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Unfortunately, since I imagine pretty much everyone was subjected to childhood vaccinations, that isn't a very meaningful control group?!

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My new and improved view on all vaccines is that they probably are useless...

But maybe some of them are not.

I am not 100% sure.

But if I had the choice to do it all over again I'd take none of them ... because there is always the potential for side effects...

But I would encourage everyone else to take all of them ... because if any of them are useful then the herd immunity thing is awesome and I get protection without taking any risk.

In the words of Charlie Sheen -- that is 'winning' all upside zero downside. I like it

Plus they are all MORE-ONS and they would consider me an imbecile for not taking the jabs (hey man you could get polio don't be such a dumb ass!!) --- they are too stupid to be offended by my policy.

Please don't try to convince anyone to adopt this strategy... for obvious reasons

I believe this what Spock would refer to as... logical

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Excess vaccination may create a more lethal bug (like the one in chicken) so perhaps better not to promote them amongst others either.

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Such logic, lol!

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For the COVID jabs it is, for that very reason. Just about every age group got just about the same childhood vaccinations.

But that said, there are indeed wide variances of flu and shingles shots among middle aged and especially the elderly; so that might amplify the differences of outcomes between those who have or have not got the COVID pokes, those who have shunned the flu and shingles jabs most likely being predominately among the COVID unjabbed.

Even a small percentage of such a large population as the US would be a meaningful control group. I would not expect many who got not other vaxxes to have gotten COVID jabs, but that would still leave fairly large numbers of the totally unvaxxed, vaxxed but not for COVID, and total pin-cushion cohorts.

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True vaccinations and tons of other questionable “medications” have virtually wiped out control groups. Maybe we can start with the non-Covid Jabbed and start over free of the health burden of corporate medical care. Grassroots community peer to peer advisors only. Free of snake oil salesmen. Health is wealth.

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Thanks good link.

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My impression is that the UK wasn't and isn't as zealous as the USA where the medical-industrial complex began. It seems worth investigating in the UK if more older people (now aged 65-70 or more) than 0.26% have had none, or not a full course.

www.vaxcontrolgroup.com may have some members like this.

I think I had four or five in the 1950s and early 60s. So I'm no use ...

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I think you're right to simplify - there's always some risk to a patient as soon as a needle enters their arm for any reason. Some of this damage may turn out to be due to incorrect procedure so I don't think you want to rule that out.

'Inoculate' is another word that I've seen used recently in this context. If it was spelled 'innoculate' instead then we could say it came from the Latin 'in' and 'nocere' - to harm (as in 'primum non nocere'). So innoculate would be to insert harm or damage.

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TY. I'll make a point of spelling it with 2 letters 'n', perhaps add a note - spelling intentional. No needles!

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I'm in the never again injected category.

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The Room might contain an Indian elephant. An African elephant's a bit more sizeable to ignore - but the unmentionable MRna Mastodon is soon going to squeeze so hard there will be no manoeuverability to avoid staring into the beast.

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We should only concern ourselves with “never injected” and “ever injected”. - it's amazing how they can count someone as unvaccinated who has taken a vaccine! 😵‍💫

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Since governments lie as main operation I am sure Unvaccinated includes many who were in fact vaccinated. All those with morals quit medicine. What remains are followers who only care about pay.

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I am not teasing out the data in the same manner, merely showing excess weekly mortality, aiming to publish this substack soon. 2020 is a notional year of non-jab 'control'.

My understanding re. oecd.stat is that excess deaths are taken above the 2015 mean. (need to check this)

Yr. 20/21/22 and temporal relationship to the introduction of imposed jabs 1, 2, boosters,in NZ already demonstrated and published on substack. A crystal clear relationship exists.

Follows, a short commentary on the cumulative annual deaths across Australia, Canada, NZ, UK & US.

For 2022, Australia ceased reporting beyond week 38, while Canada ceased beyond week 34. NZ reported 52 weeks. (oecd.stat)

A blunt pro rata ratio calc. shows deaths continue to escalate in both Australia and Canada. Australia trends with NZ in perfect concordance since 2020 through to end 2022.

UK shows a negative gradient trend over same time period, bizarrely at complete odds with US, Canada and DownUnder, raising a range of possible (awful - denial of standard treatments and administration of DNR/Midazolam etc) interpretations.

Cumulative excess deaths ABOVE THE MEAN in NZ, Australia, UK, Canada & US >2M.

70% excess deaths above the mean (Australia and NZ) occurred in 2022 (est. 53,000).

Inflection point of 2021 is common to all the listed countries here.

+/- trend concordance from 2020 to 2021 is shared by Canada, US, NZ, Australia, together with a 2021 inflection point.

UK trend is odd, trending negatively from 2020. Thereafter inflection in 2021, both UK and US trend negatively, while Canada continues est. upward, along with Australia and NZ, though the latter two, at a considerably higher rate.

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yes the unvaccinated might reasonably include anyone presenting to the hospital who the hospital has no records of vaccination. or whom the hospital can not "verify" the records" etc etc etc/ A huge game

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And then there is this

Lies, Outrageous Lies, and CDC Weekly Reports?

https://live2fightanotherday.substack.com/p/lies-outrageous-lies-and-cdc-weekly

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There are almost too many scandals and intentional frauds to keep up with. But "manipulating the data" and/or "changing the definitions" should be much higher on the list of scandals that maybe one day will be investigated by some kind of truth-seeking tribunal or Commission.

Below, I outline how officials wrote definitions that preclude the possibility of an "early case" being "confirmed" as a real case of Covid. They have mastered data manipulation. Orwell was right - control the language and definitions and you can control the world.

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This sentence caught my attention and applies to my research on "early spread" - "....to create the illusion of “vaccine” efficacy simply through misrepresentation of definitions."

"Misrepresentation of definitions." Remember that phrase. It's important.

This is the modus operandi of officials to sneakily change definitions to suit the result officials want.

I'm seeking evidence that would "prove" that early infections happened. Officials rule out the possibility of "early spread" by writing definitions that "confirm" (or don't confirm) a "case."

With Covid, per the official CDC definitions, the only way to "confirm" a "case" of Covid is a positive PCR test. Alas, in America, the first PCR test wasn't even administered to anyone until January 17 2020. Hardly any American got a PCR test in January 2020. Furthermore, the CDC guidance was that the only people who should/could/did receive one of the very few early PCR tests was anyone who had recently been to Wuhan, China. The first six "confirmed" cases in America were all people who had just returned from China (one was a case of a person who lived with someone who had just come back from China). In other words, public health officials didn't test anyone who hadn't been to China. If you only test people who have recently been to China, the only "confirmed" cases you'll get will be .... people who were in China.

Furthermore, all the PCR testing was being done at a CDC lab in Atlanta. That is, no local pubic health agency or hospital could or was administering their own PCR tests.

The CDC "defined" what could be a "confirmed" case, who was tested (and not tested) and only this agency could do the testing.

Significantly, a positive antibody test (in combination with a recipient who had all the Covid symptoms months earlier) is not enough to "confirm" a case.

I've identified more than 300 people who had Covid symptoms in November or December 2019 (or earlier) who later got a positive antibody test - and none of these people are listed as "confirmed" cases. So in America the first "confirmed" case of Covid is still listed as January 19 (maybe 17th) 2020.

Note: The 300 likely cases doesn't count the UNKNOWN people who infected these people (see reply below for full tally).

Bottom-line: You literally cannot "confirm" an early case of Covid, per the CDC's definitions and testing protocols. This technique worked with the definitions of early cases (there are/were no early cases); this also worked with controlling the definitions on myriad other Covid subjects, as Joel points out.

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Here are articles that document 605 possible early cases. Significantly, not a single one of these likely early cases have been "confirmed" by officials. Most of these cases are from November and December 2019, but some are from even earlier.

In this tally, I count the people who tested positive and the unknown people who infected these people. Fox example, Michael Melham tested positive for antibodies two times, but we don’t know the person who infected him so I count this as two (2) cases.

Note: Many of these people are known by name and by town. All of these claims could have been investigated by public health officials, meaning if there was a good reason to debunk their claims, officials could have provided this reason. All could have been tested again if the first antibody results were considered suspect.

These antibody results were found in people in at least 16 U.S. states and at least four countries, not counting China.

These are just the possible “early cases” I have identified in my own research. I assume that many people were sick before 2020 with Covid symptoms and later received positive antibody results that are unknown to myself or the public. That is, the public has never learned how many people have antibody evidence of early infection.

LINKS:

At least two (2) cases in New Jersey before Nov. 20, 2019

https://www.foxnews.com/world/china-new-jersey-mayor-coronavirus-november

At least three (3) cases in rural Sylacauga, Alabama in December 2019:

https://www.uncoverdc.com/2020/06/25/an-alabama-man-nearly-died-from-covid-19-the-first-week-in-january/

Four (4) cases in Washington state in December 2019

https://www.seattletimes.com/seattle-news/antibody-test-results-of-2-snohomish-county-residents-throw-into-question-timeline-of-coronaviruss-u-s-arrival/

Approximately 18 cases in DelRay, Beach Florida in November and December 2019

https://www.palmbeachpost.com/news/20200516/coronavirus-florida-antibody-tests-bolster-suggestion-covid-spread-early-in-florida

At least 16 cases in several U.S. states in November and December 2019 (one possible case even dating to March 2019)

https://billricejr.substack.com/p/i-asked-for-early-spread-anecdotes

Two (2) cases in England in November 2019

https://billricejr.substack.com/p/well-i-just-found-the-first-covid

At least two (2) cases in California (or the Mid-East or Italy) - See Shane from Marin, County, California info

https://billricejr.substack.com/p/covid-was-spreading-across-us-in

212 cases in nine U.S. states November (or earlier) 2019 - January 2020 = 257

https://academic.oup.com/cid/article/72/12/e1004/6012472?login=false

124 cases in France in Nov-December 2019

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7864798/

At least 222 cases dating to September 2019 in Italy.

https://journals.sagepub.com/doi/full/10.1177/0300891620974755

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Partly agree with your definition. But we are also very much interested in 'dose-response' effects, in other words, the cumulative effect of multiple injections.

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