Zach Bush Profile picture
13 Sep, 13 tweets, 5 min read
Knowing the Ct (Cycle Threshold) value for every PCR test is creating a massive gap in our knowledge of SARS-CoV-2.

This should be a priority for every investigative reporter.

@jackwindsor any support you can provide would be appreciated.
Each lab should be asked:
1) Can you provide the Ct value for each test
2) can you you let us know the % of tests that fall under the following:
Ct < 24
24 < Ct < 35
35 < Ct
This is important because it has been shown that:
Ct < 24 = live virus
24 < Ct < 35 = inconclusive, should be confirmed by culture
35 > dead virus

However, Labs are directed, by FDA, to report this way:
Ct > 40 = no infection
Ct < 40 = infection
Currently, if someone tests PCR+, they are considered infected AND infectious.

This is not necessarily the case. If their Ct value was >35, then they're no longer infected with LIVE virus.

In other words, they were PREVIOUSLY infected and NO LONGER INFECTIOUS.
This creates several problems:
1) the person is quarantined, despite not being infectious or sick
2) recent contacts are quarantined
3) the person is reported as NEW
case, when in fact they're an old case*

*It has been shown that Ct > 35 can detect up to 12 wk old virus
This can lead to a vicious circle as:
1) recent contacts can be falsely labeled as infected and infectious
2) their contacts undergo tracing protocols
3) it gives the appearance of an active outbreak when the reality is that these are cases that were UNDETECTED IN THE PAST.
The FDA and CDC should update their PCR Ct guidelines and create new case definitions to reflect reality, otherwise we will be forever stuck in, what @EthicalSkeptic has termed, "The Lemming Cycle of Continuous Impairment".
Ongoing study by Heneghan et al:…

Another excellent thread that covers some items I didn't address in my OT

Article from Rational Ground doing an excellent job explaining the PCR process and what Ct means.


Another thread that explains the PCR process thoroughly and in pretty easy to understand terms

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More from @dkwillabus

20 Jul
BS FILTER: Facts vs Information

To filter out misinformation, one must be able to differentiate between the following:
A) on 6/1 there were 51 new deaths in OH
B) 2 people died on 6/1
C) 33 people died on 6/1

All of the above are true, but which are informative?
Here is the daily new deaths chart for Ohio per The Covid Tracking Project. If you search daily deaths in Ohio on Google, this is the chart you will see:

It indicates that on 6/1, 51 new deaths were reported.
The Ohio Dept of Health (ODH) provides an excel file that lists dates by date of death. If you download the file from 6/1, you will get a chart that looks like this:

It indicates that 2 people died on 6/1.
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