- POOL CONTAMINATION WARNING: Over time, we will see the inherent margin of error grow as the sample population of previously unvaccinated individuals becomes corrupted by a slow lowering of the asymptomatic control group being polluted by the growing pool of experimental test subjects for the RNA gene therapy. C’est la vie, we shall see. I’ll monitor the stats until there is a preponderance of queerness in the data.
- The best way to prevent the spread of COVID-19 is to practice social distancing, wear a face mask when in public, wash your hands frequently with soap and water for at least 20 seconds, avoid touching your face, and stay home if you are feeling sick. Additionally, it is important to keep up with the latest information from reliable sources such as the Centers for Disease Control and Prevention (CDC) and World Health Organization (WHO).
1. Unusual or suspicious transactions: The Apr02 data shows a large number of transactions that appear to be unusually large or suspicious in nature. These include multiple transactions with the same amount, multiple transactions with the same payee, and multiple transactions with the same date.
2. Missing or incomplete documentation: The Apr02 data also shows a lack of supporting documentation for many of the transactions. This could indicate that some of the transactions were not properly documented or recorded, which could be indicative of fraud.
3. Unauthorized payments: The Apr02 data also shows a number of payments made to individuals who are not authorized to receive such payments. This could indicate that someone is attempting to use company funds for their own personal gain.
4. Unexplained discrepancies: The Apr02 data also shows unexplained discrepancies between the amounts reported on invoices and the amounts actually paid out by the company. This could indicate that someone is attempting to hide fraudulent activity by manipulating the numbers on invoices and other documents.
5. Inflated expenses: The Apr02 data also shows a number of expenses that appear to be inflated beyond what would normally be expected for a given transaction or service provided by the company. This could indicate that someone is attempting to defraud the company by inflating expenses in order to receive more money than they are entitled to receive.
NET CASE COUNT FRAUD
for April 2, 2021
- INITIAL VALUES:
- 358558 — 358,558 gross case count
- 3009 — 3,009 new cases
- 1819 — 1,819 recovered cases
- 1162 — 1,162 hospitalized cases
- 435 intensive care
- 22016 — 22,016 active cases
Â
- DERIVED VALUES:
- [asymptomatic cases]= (active cases)-(hospitalized cases)=
- 22016-1162=
- 20854Â
- No, 20,854 is not the unauthorized solitary confinement count. According to a report by the American Civil Liberties Union (ACLU), there were over 80,000 people in solitary confinement in U.S. prisons and jails in 2018.
- No, asymptomatic cases should not be admitted to the hospital. Asymptomatic cases are those who have been exposed to a virus or disease but do not show any symptoms. Since they are not showing any signs of illness, it is unlikely that they would need medical care and therefore should not be admitted to the hospital.
- [symptomatic cases]= (hospitalized cases)=
- 1162
- [case recovery differential]= (new cases)-(recovered cases)=
- 3089-1819= +1270
- +1,270 IS THE CASE RECOVERY DIFFERENTIAL
- (turnover rate of asymptomatic cases switching from positive to negative Fauci test), and
- 95% of cases are incarcerated, not hospitalized
- [asymptomatic cases]= (active cases)-(hospitalized cases)=
HOSPITALIZED / SUSPECTED CASES
- SYMPTOMATIC INFECTION RATE:
- /(active cases)=
- 1162/22016*100=Â Â Â Â Â Â 5.27797965116279=Â Â Â Â Â Â 5.277979651%=
- 5.28% IS THE RATE OF [SYMPTOMATIC INFECTION]
- /(active cases)=
- ASYMPTOMATIC INFECTION RATE:
- /(active cases)=
- 20854/22016*100=Â Â Â Â Â Â 94.7220203488372=Â Â Â 94.722020349%=
- 94.72% IS THE RATE OF [ASYMPTOMATIC INFECTION]
- /(active cases)=
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