Couple of days ago we get a Ct table from Madrid Region thru @DaFeid
Once we checked source we used it to analyse data, and the result is clear:
OUR GOV'Ts ARE INTENTIONALLY LYING US
They're telling an epidemic which THEY KNOW is 40% FAKE
Let's see how
The method.
Original table offers % of PCR+ for Ct <20, >30, and weekly Ct average.
First we deduce % of Ct 21-29. It's easy, the 3 series must add 100%.
We draw a graph with the 3 series, being 21-29 black.
Then we use week average to calculate average values for each frame.
We settle all <20 frame to a 20 value. It's the MOST CONSERVATIVE, with bias AGAINST manipulation. It minimises Ct for other 2 frames.
Then we settle average values for >30 and, using global average, find the resulting average Cts for 21-29 frame
With values under 36 we reach aberrant results, in which 21-29 frame would need to have values over 30 Thus, we settle >30 average value in 36, and graph 21-29 results
And now, the lie begins to uncover.
The original graph was given to German @welt journalist @Tim_Roehn as part as an official document
In it, Madrid region explains 100% PCR with Ct<25 are active, 95% with Ct 25-30, and only 21% in CT>35
THE REST ARE OLD INACTIVE INFECTIONS
We use this fake percentages with all Ct frames, considering their number and estimated Ct, and we find that ~40% Notified cases were FALSE
And they KNOW IT
At epidemic peaks, only 20% is false, but lie grows to 50% when fear pump is needed¬ enough real Epidemic is going on
The graph at thread 1st tweet shows true epidemic Vs official.
If we compare true active cases with old fake detection, we notice that around Xmas, CONCERNING Irresponsibles Guilt official Epidemic was 50% FAKE.
USING THEIR OFFICIAL CRITERIA
The number of old non infective cases, that were noted as Covid sick and dangerous Case, was as high as 10K a week!
We repeatedly have spoken about this Fear Machine of PCR inflating thru old infections. Everytime we get access to better series, we find it over and over again.
Finally, as we know weekly TRUE ACTIVE cases, we can calculate Accumulated Incidence at 14 days.
It NEVER went over 700.
The official AI, whose rise is enough to hardly restrict freedoms, went up to 1.000
They KNOW, the document tells!, lots of PCR+ aren't true cases.
They lie
We've reached same result with other methods
We had to develope tools to reach interesting data, cos among the THOUSAND series we're bombed with, there's NEVER good quality test info
It's hidden
Bad luck for'em maths STILL work, even amidst Covid madness
The Madrid Region dossier we've been commenting lately is full of proofs of appalling intentions from our gov'ts.
The sheet on universal screenings shows the LACK of test confirmation after a positive.
The protocol includes not this step, and ONE positive is noted as 'Case'
There IS redundant check for NEGATIVES, as we see in the Close Contact protocol sheet.
Antigen negative is double checked thru PCR.
It also shows that EVEN negative test have quarantine consequences.
If every PCR+ mean case, without check, it means accepting ALL FALSE POSITIVES
But the worst antiscientifical manipulation, for me, hides in the footnote
PCR is specially recommended in LOW PREVALENCE SCREENINGS
There's a purely MATHEMATICAL rational for low prevalence suffering high proportion of False Positives, plain, non "covid is new" debatable truth
La Comunidad de Madrid ha publicado un documento con información sobre los Ct de los PCR positivos, que incluye un criterio para su interpretación.
Según ese documento LA PANDEMIA QUE NOS CUENTAN ES FALSA, en, al menos, un 40%
Y lo saben.
La oficial, en azul
La REAL, en rojo
El documento presenta una tabla de valores de CT semanales para las PCR positivas.
Incluye el % de positivos con Ct <20, >30 y el promedio de los positivos.
Es fácil calcular el % de piernas con CT 21-29.
Representamos las 3 franjas, 21-29 en negro.
Con estos 3 datos planteamos valores promedio para cada tramo
Consideramos la media del grupo <20 =20, probamos valores para >30 que produzcan Ct compatibles en la franja 21-29
El grupo >30 debe tener un promedio de 36, o la franja 21-29 arrojaría incompatibles Ct promedio >30