Thread by @rant_rn

The case for #fraud charges in #Ontario

The following 🧵will attempt to establish that @fordnation & members of his cabinet including, but not limited to, @celliottability WILLFULLY & KNOWINGLY "by deceit, falsehood or other fraudulent means" defrauded the public AND...

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...significantly "affecting public markets" via those INTENTIONAL fraudulent actions.

Further, as #Canada 's most populous province by a significant margin - #Ontario 's COVID-19 data also makes up a significant portion of the national data on cases, hospitalizations, etc.

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#Ontario 's COVID-19 data therefore not only has a significant impact on the markets within the province, but nationally AND internationally to the degree of Canada's impact on trade & international markets.

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This raises the question of the extent of @JustinTrudeau 's knowledge of the fraudulent data from #Ontario that HE then uses to "demonstrably justify" the limits that HE places on the freedoms of #Canadians

He is either:
1) Complicit
2) Ignorant, negligent & incompetent.

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Consider the following section of #Canada 's Criminal Code:

"380 (1) Every one who, by deceit, falsehood or other fraudulent means, whether or not it is a false pretence within the meaning of this Act, defrauds the public or any person, whether ascertained or not, of...

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any property, money or valuable security or any service,

(a) is guilty of an indictable offence...

(2) Every one who, by deceit, falsehood or other fraudulent means, whether or not it is a false pretence within the meaning of this Act, with intent to defraud,...

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...affects the public market price of stocks, shares, merchandise or anything that is offered for sale to the public is guilty of an indictable offence and liable to imprisonment for a term not exceeding fourteen years."

laws-lois.justice.gc.ca/eng/acts/c-46/

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#Ontario 's Fraud:

1) Prior to COVID-19, a "case" of an infectious respiratory disease (i.e. Influenza, RSV, etc.) - was someone who was ill enough to seek out the medical attention that resulted in testing.

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With COVID-19 they create a unique, faulty & EXTREMELY over-inclusive "case definition" (aka inclusion criteria) that require NO symptoms!

They report "cases", hospitalized "cases", "cases" in ICU, "cases" who died WITHOUT ANY indication to the public, businesses,...

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...educators, banks, policy makers, economists, investors, media, parents, etc. - that those numbers are GROSSLY over-inflated due to their faulty "case definition".

#GIGO

There is NO way that ANY "reasonable" person could "reasonably" be expected to know otherwise!

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2) Beyond proper inclusion criteria, for data to be accurate (whether research, science, medicine or business) - you must record the findings, results, outcomes, sales, revenue, etc. - in a manner that properly attributes the data to date to which it applies.

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Whether reviewing research findings, clinical findings or financial data - when one finds or corrects data from past months, quarters, etc. - it would be both #fraudulent & deceitful to just add that data to today's numbers, findings, etc.

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It would NOT be a #truthful or ACCURATE reflection of the ACTUAL situation.

Doing so however, has cost many people their reputations, tenure, funding, careers,...and often results in heavy fines and jail time!

Unfortunately, #Ontario is doing just that!

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EVERY DAY, historical data (i.e. cases, deaths) is dumped into the current daily numbers.

They will announce it ONLY when it is significant enough to be noticed - and justify it as "data cleanup" (aka data dump).

However, this has been happening EVERY DAY since 2020!

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Today for example, 33% (2,122) of the cases began over a week ago, with some dating back as far as January 2021.
(H/T @Golden_Pup )

There is NO way that ANY "reasonable" person could "reasonably" be expected to be aware of this - even IF they could find/interpret that data.

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3) Moving forward, only now that the FULLY-vaccinated make up the majority of cases, and are increasingly taking up more of our precious hospital beds & ICU beds - are they finally SORT OF admitting that they have a faulty "case definition".

However,...

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a) They have FAILED to admit that our hospital & ICU data (AND cases AND deaths) have ALL been GROSSLY over-inflated due to THEIR faulty "case definition" SINCE DAY ONE!

They KNOWINGLY based ALL of their restrictions, lockdowns, school closures, shutdowns,...

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...cancellation of surgeries & tests, #MaskMandates, #VaccineMandates, #VaccinePassports, BILLIONS of $$$ in spending, etc. - on their public FRAUDULENT MISREPRESENTATION of data - and in a manner that NO "reasonable" person could be "reasonably" expected to know otherwise.

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b) Their smoke-and-mirrors supposed #transparency in providing pie graphs showing the % of patients admitted "for Covid" vs "for something else" - FAILS to provide what we really need to know - given their continued aggressive push for UNSCIENTIFIC #VaccineMandates .

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Given that they continue to justify their #VaccineMandates & #VaccinePassports using fraudulently PRESENTED data - it is vital that they breakdown the % and numbers of pts. admitted "for something else" by vaccination status - INCLUDING the number of shots.

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There have been credible reports of #testingbias at time of admission when some hospitals and/or specific clinicians will test ALL UNvaccinated pts. who are admitted - but ONLY test vaccinated pts. IF they are symptomatic.

This could have a significant impact.

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c) Supposed data issues where health cards are not with the pt., not scanning properly, not manually entered correctly, expired, etc. - are blamed for the avg. of 25% DAILY of cases in hospital & ICU - that are classified as "Unknown vaccination status".

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Local Health Units scramble the next day to find this information - and then submit it separately to the Ministry of Health ASAP.

@fordnation & @celliottability conveniently leave this data out of the daily pie graphs - which the media, decision makers, & the public then...

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...INCORRECTLY use to calculate hospitalization rates by vaccination status.

That Ford & Elliot REFUSE to correct this months-long #datasnafu - AND refuse to update the public on the previous day's/week's corrected data - is again, the WILLFUL, deceptive, and...

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... #fraudulent PRESENTATION of data.

Mental health crises, decimation of small businesses, destruction of our economy, prices gouging, record unemployment, damage to trade & markets, supply chain crises - are ALL a result of decisions justified by FRAUDULENTLY PRESENTED data!

Also on FB: facebook.com/TheRNRant/

And, "well....other people are doing it!" - is NOT a defense.

Would be interested to hear thoughts on this 🧵from: @JCCFCanada @CDNConstFound @LDBildy @rpoconnor @ryan_p_alford @cvangeyn @jobearon @LitigationGuy @JamesManson6263 @derekjamesfrom @Lawsome_ @DavidAnber @PardyBruce @Roman_Baber @thevivafrei @VPrasadMDMPH @OnCall4ON @erdocAA