BAYES' THEOREM: The basic reason we get so many false positives to COVID19. The disease is so rare that the number of false positives greatly outnumbers the people who truly have the disease: THE MATHS:
https://t.co/oLHyxYJW9H




https://t.co/29FNwq0Qw2
"The national statistician has downgraded its estimate of coronavirus in England on October 17 to just 4.89 people per 10,000." or ~ 0.05%. That means that only 1 in 2000 people may be carrying SARS related viral RNA fragments which could be 2 months old. https://t.co/XqpNaY6BzQ
— Robin Monotti FRSA MA BSc (@robinmonotti) December 8, 2020
https://t.co/rthjPRJWeB
ITALY: CONFIRMED BY ITALIAN HEALTH SERVICE: False positives to Covid19 test as diagnosis are 95%. Legal cases started against testing under charges of fraud to procure public funding, false alarm, ideological false, and manslaughter. pic.twitter.com/C9b7BbzdKa
— Robin Monotti FRSA MA BSc (@robinmonotti) November 25, 2020

#BAYESTHEOREM MEDICAL MASS TESTING CALCULATOR:
— Robin Monotti FRSA MA BSc (@robinmonotti) December 9, 2020
Try it yourself to understand how many false positives you get by changing minor variables: \U0001f447https://t.co/7wVMvrpgAW pic.twitter.com/PHbweWK1TK
https://t.co/kFnQVoCspb

LATERAL FLOW: False positive rate of "0.4% with a sensitivity of 58% and specificity of 99.6%, would mean that 100\u2009000 people being tested would find 630 positives\u2014of which only 230 would actually have covid-19, while 400 would be false positives.
— Robin Monotti FRSA MA BSc (@robinmonotti) November 17, 2020



https://t.co/8hsZ1hNjD7
Official estimates from mass testing in England (including asymptomatic) puts Covid19 "infections" at 0.9% https://t.co/2ljzi9YfKN
— Robin Monotti FRSA MA BSc (@robinmonotti) December 11, 2020
@lucyfrazermp 20/11:
— Edmund Fordham (@EdmundFordham) November 28, 2020
2. Apparently @MattHancock tells HoC 17/09 how ONS \u201cadjusts for False Positives\u201d. Looked it up.@DesmondSwayne asks;@MattHancock doesn\u2019t answer.
Obfuscates with \u201crigorous Bayesian mathematics\u201d
\u201cOne of his academics" will \u201ctake him through it\u201d
(thread) pic.twitter.com/42YO9vaioy



#BAYESTHEOREM @ Cambridge University. 0.4% of 262 students came back as positive after the first "test". All came back as negative after the second. Government only tests once. ONS would say there is 0.4% prevalence instead it's 0%. pic.twitter.com/zeAQAAOeRN
— Robin Monotti FRSA MA BSc (@robinmonotti) December 13, 2020

https://t.co/pZcFlMBKEZ
"I am very happy for one of my academics to take him through the rigorous Bayesian mathematics, which I am sure will help to elucidate the debate on this matter still further." @MattHancock to @DesmondSwaynehttps://t.co/pZcFlMBKEZ
— Robin Monotti FRSA MA BSc (@robinmonotti) December 15, 2020
https://t.co/aidVGWOVqH
Numerical details aside, the use of Bayes's theorem and the principle described are valid. Taught in epidemiology courses.
— \u05e4\u05e8\u05d5\u05e4' \u05d0\u05d9\u05d9\u05dc \u05e9\u05d7\u05e8 (@prof_shahar) December 16, 2020
Extreme example. If disease prevalence is zero, predictive value of positive test is zero. Every positive is false positive.
A similar graph in the thread pic.twitter.com/ddvBe36OmU
\u26a0\ufe0fWHO WARNING ON BAYES THEOREM & TESTING \u26a0\ufe0f
— Robin Monotti FRSA MA BSc (@robinmonotti) December 16, 2020
"Healthcare providers are encouraged to take into consideration testing results along with clinical signs and symptoms, confirmed status of any contacts"https://t.co/GkRJzdn70b pic.twitter.com/jXPQDqqnVE
More from Robin Monotti FRSA MA BSc
Lockdowns increase infections because they lower immunity & therefore increase the disease. After hospitals & care homes households account for the largest number of transmissions. Schools/universities act as a break in transmission of the disease. All evidence based.
Transmission does not mean infection. I can transmit SARSCoV2 but I can't transmit Covid19. Whether SARSCoV2 develops at all into mild or severe Covid19 depends entirely on the immune system of the recipient. Early treatment prevents severe Covid19, the right treatment cures it.
"Children act more as a brake on infection," said Prof. Reinhard Berner, the head of pediatric medicine at Dresden University Hospital and leader of the study. "Not every infection that reaches them is passed
Closing schools increases transmission of respiratory viral infection because children act as a break on the community transmission of the virus. We have known this since 1918:
https://t.co/TPRYQ1LAAJ

I have already left both Facebook & Instagram. We need to keep agile.
They will try to ban Parler, blaming it for Capitol theatre. I think Telegram may survive as it's not based in the
Yes Telegram owner @durov received & accepted what effectively is an award, not a partnership: the Young Global Leaders membership of the World Economic Forum in 2017. Does this mean he passes users info on? I don't think so.
This is what @Snowden had to say about @durov. Since then Telegram introduced the option of end to end encrypted chats not saved in Telegram servers. These private chats cannot be forwarded, and none of the participants can capture screenshots of
Trust us not to turn over data. Trust us not to read your messages. Trust us not to close your channel. Maybe @Durov is an angel. I hope so! But angels have fallen before. Telegram should have been working to make channels decentralized\u2014meaning outside their control\u2014for years.
— Edward Snowden (@Snowden) December 30, 2017
Here is the Italian-EU scientific study indicating SARSCoV2 replicates in bacteria, not only human cells, and that is why antibiotics work and these vaccines will not:
"The preliminary results suggest that SARS-CoV-2 replicates in bacterial
2 of the 4 authors of the study work at the European Commission. Another works at an Italian medical research facility called Craniomed: https://t.co/EETSM3nb3T

You can find all of CRANIOMED's Carlo Brogna's published scientific research articles here, take a look:
More from Category c19
FACTS NOT FEAR
Covid 19 is a disease caused by the SARS-CoV-2 virus. SARS-CoV-2 is one of 7 coronaviruses known to man. 1/n
The pandemic is real. Excess deaths were observed in many countries. Not all countries were affected in the same way due to pre-existing immunity, the health status of the population and demographics (the proportion of elderly in the population) 2/n
https://t.co/65elPq3gp5

COVID 19 presents a high risk for the very few and negligible risk for the many.
The infection fatality rate in different age groups:
<19 y, IFR= 0.003%
20-49 y: IFR= 0.02%
50-69 y: 0.5%
>70y, IFR=
Not everybody is susceptible to the virus. If reinfected, pre-existing immunity from related viruses gives protection from developing the disease or from developing serious symptoms.
4/n
“The evidence that a subset of people has a cross-reactive T cell repertoire through exposure to related coronaviruses is
Are you ready to explore? 1/n
The Health Belief Model (HBM) consists of 5 components: perceived threat (lethality + Susceptibility),
perceived benefits,
perceived barriers and
cues to action.
Familiarise yourself with the definition of each concept in this table. 2/n
https://t.co/1tOz1cJFvc

Study this diagram to understand how the components are interrelated. 3/n
https://t.co/iUoaqNkgyP

Now let’s apply this to the COVID 19 pandemic.
Review this diagram to see how the HBM applies to the behaviour of mask-wearing.
“perceived susceptibility appeared to be the most significant factor determining compliance” 4/n
https://t.co/xF6uwUx12N

Part I: The HBM
Increase the perceived threat of a disease
1) increase perceived severity: Confusing the general public with CFR & IFR- 2 indicators that are an order of magnitude apart.
People understood wrongly that the fatality rate of C19 is
"Globally, about 3.4% of reported #COVID19 cases have died. By comparison, seasonal flu generally kills far fewer than 1% of those infected"-@DrTedros #coronavirus
— World Health Organization (WHO) (@WHO) March 3, 2020
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