Twitter is build for noise.
Very often I need to Google my own old tweets, as TL is a dark, chaotic, bottomless pit.
I'm gathering here our team's
main original work, with their link and a little description, as an easy way to find them, both for me and anyone interested.
This is our statistically true daily infection reconstruction.
It uses the time from infection to death curve proportionally for each decease.
Deaths is the less manipulable series, and time curve is not disputed even among covidlievers.
April 2020
Variables affecting Rt in complex seasonality model.
It considers Climate, Previous/crossed Immunity, Biological Balance among respiratory viruses & Herd Immunity, showing seasonal HI threshold creation.
Valid for moderate climate (northern) hemisphere.
The Fear Machine.
Disaggregated True Epidemic trends from Official epidemic's.
It's made thru different positivity rates in Spain's serological national survey for PCR&antigens and, using positivity, discounting test pressure in cases creation.
The Guilt Machine.
Analysis of the test policy for age frames. It shows overpressure on Young, non related to Epidemic control or outcome risk.
It's made crossing age framed data for cases, positivity and true statistical spread.
True Epidemic isolated from Old non infective PCR+ using Ct results.
It's made thru Ct frames' average values mathematical assignment, and allows comparing narrated official Pandemic with real spread, implicitly showing test policy political intentions.
We have some sociological focus on issues we find interesting, even key, in understanding this crisis.
Moral Panic:
Doublethink
As I say, crappy Twitter buried our Groupthink thread. We strongly recommend further reading on topic
This is a better refinement for our estimates out of Ct data.
It includes False Positives, those inherent to the process, thru PCR&Antigen sensitivity and specificity, apart from the old infections catching thru high Ct PCR.
Lots of true/official series
Our model of old, non infective, cases due to high Ct PCR, made an estimation of PCR/Antigen cases found, thru expectable differential positivity
Here, real observed data confirms our model's predictions, & therefore existence and scale of fake old cases
Our research on PCR Fake (thru old non infective viral fragments detection) proportion shows that False PCR are a function of average Ct values needed to find those PCR+
Average Ct>27 is problematic.
Ct>31 is almost only finding fragments: OLD positives.
Using our method of lethal infections assignment and total number of infections thru serological national surveys, we graph the true Epidemic scale.
2020 original research linked in this June 2021 actualisation:
Using the new official data segregated by age groups, we developed a method to obtain the test performed in each age group, and their per capita share
That show Incidence is being willingly manipulated by our govt thru test policy, to support a narrative
With the data of per capita testing by age group, we can check the relationship with official epidemic
In this thread we prove the so called 5th wave, allegedly created by irresponsible youngsters, is a construct intentionally created by overtesting them
This thread exposes how positivity CAN and has been artificially inflated rising number of test performed.
It also explains how it's done: thru counting positive repeated test done to a single same case, only for positivity.
Spain's Official data.
A longer explanation in Spanish.
MALAS NOTICIAS
Si estás leyendo esto, probablemente seas un trøll ignorante, un lorito que repite los televisivos argumentos de:
'Se hacen más test porque encuentran más casos, y hay más sintomáticos y rastreo'
sin haber ni mirado esos datos.
Pues HAZLO
Covid Arbitrary limits for Incidence Rate have nothing to do with science
Just round numbers, ludicrously low, decided politically
True science of Epidemic limits was settled and working, it was complex & evolving, and sensitive to regional differences
Καὶ σὺ, Positivity?
Death notification delay is a sign of manipulation.
While 1st wave notified hundreds of deaths in the day they occur, corrected in next days only ~5%, those last summer waves happen with ~500% corrections taking WEEKS to notify.
Trazabilidad
Hospitalizaciones 5ª ola
La manipulación de los fallecidos Covid, mediante la inclusión de fallecidos por todas las causas con criterio exclusivo de tener una prueba positiva, visible desde los patrones de retraso en identificación de cada fallecido como Covid:
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