Read on Twitter
1) MIT
MIT confirms: its own COVID19™ tests are set to 40 amplification cycles.
https://medical.mit.edu/covid-19-updates/2020/11/pcr-test-result
MIT confirms: its own COVID19™ tests are set to 40 amplification cycles.
https://medical.mit.edu/covid-19-updates/2020/11/pcr-test-result
2) NYT
"Most tests set the limit at 40";
"Any test with a cycle threshold above 35 is too sensitive, agreed Juliet Morrison, a virologist at UC, Riverside. “I’m shocked that people would think that 40 could represent a positive,” https://www.nytimes.com/2020/08/29/health/coronavirus-testing.html
"Most tests set the limit at 40";
"Any test with a cycle threshold above 35 is too sensitive, agreed Juliet Morrison, a virologist at UC, Riverside. “I’m shocked that people would think that 40 could represent a positive,” https://www.nytimes.com/2020/08/29/health/coronavirus-testing.html
3) PORTUGUAL
Portuguese courts have recently cited:
"“if someone is testing by PCR ...when a threshold of 35 cycles or higher is used (as is the rule in most labs in EU and the US), ...the probability that said result is a false positive is 97%.”" https://www.collective-evolution.com/2020/11/23/portuguese-court-rules-that-the-pcr-test-is-unable-to-determine-a-covid-19-infection/
Portuguese courts have recently cited:
"“if someone is testing by PCR ...when a threshold of 35 cycles or higher is used (as is the rule in most labs in EU and the US), ...the probability that said result is a false positive is 97%.”" https://www.collective-evolution.com/2020/11/23/portuguese-court-rules-that-the-pcr-test-is-unable-to-determine-a-covid-19-infection/
4) CAMMBRIDGE
Makes sense: University of Cambridge recently found 100% false positives - during one full testing cycle - across ~4000 students:
https://twitter.com/pcrclaims/status/1336679025335545857
Makes sense: University of Cambridge recently found 100% false positives - during one full testing cycle - across ~4000 students:
https://twitter.com/pcrclaims/status/1336679025335545857
5) DR. KARY MULLI
None of this should come as a surprise to anyne had journalists been reporting actual news: here is Dr. Kary Mullis (the inventor of the PCR test) talking about Dr. Fauci and the accuracy of PCR testing when use to identify a virus:
https://twitter.com/KanekoaTheGreat/status/1338696497236332549.../status/1338696497236332549
None of this should come as a surprise to anyne had journalists been reporting actual news: here is Dr. Kary Mullis (the inventor of the PCR test) talking about Dr. Fauci and the accuracy of PCR testing when use to identify a virus:
https://twitter.com/KanekoaTheGreat/status/1338696497236332549.../status/1338696497236332549
NOTE: Dr. Kary Mullis died of pneumonia on AUG 7, 2019 - just ~3 months before the COVID19™ "outbreak".
BOTTOM LINE: At the current normal amplification, PCR tests are worse than flipping a coin. Not even 5% (15,000) of the recorded deaths should be associated with COVID19™
BOTTOM LINE: At the current normal amplification, PCR tests are worse than flipping a coin. Not even 5% (15,000) of the recorded deaths should be associated with COVID19™
PS. Here's the link to the CDC i promised:
https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm#Comorbidities
" For 6% of the deaths, COVID-19 was the only cause mentioned. For deaths with conditions or causes in addition to COVID-19, on average, there were 2.9 additional conditions or causes per death."
https://www.cdc.gov/nchs/nvss/vsrr/covid_weekly/index.htm#Comorbidities
" For 6% of the deaths, COVID-19 was the only cause mentioned. For deaths with conditions or causes in addition to COVID-19, on average, there were 2.9 additional conditions or causes per death."
Hence:
>310,000 have died of COVID-19
FIXED:
- 310,000 have died WITH COVID-19
6% * 310,000 have died OF COVID19™ -- according PCR tests, that are wrong 90% of the time (correct 10% of the time)...
6% * 310,000 * 10% = actual "death FROM covid" total
>310,000 have died of COVID-19
FIXED:
- 310,000 have died WITH COVID-19
6% * 310,000 have died OF COVID19™ -- according PCR tests, that are wrong 90% of the time (correct 10% of the time)...
6% * 310,000 * 10% = actual "death FROM covid" total
