BC CATEGORY C19
Saved by @vliscony

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

 "Suppose that you are worried that you might have a rare disease. You decide to get tested, and suppose that the testing methods for this disease are correct 99 percent of the time"
"Suppose this disease is actually quite rare, occurring randomly in the general population in only one of every 10,000 people. If your test results come back POSITIVE, what are your chances that you actually have the disease? LESS THAN 1% chance that you have the disease!"
"The basic reason we get such a surprising result is because the disease is so rare that the number of false positives greatly outnumbers the people who truly have the disease"
Say mass testing of the contagious virus was done to 1 million people. In that million, 100 will really have the disease, 99 will be correctly diagnosed as having it. 999,900 of the million will not have the disease, but of those about 9,999 will be false positives! #BayesTheorem
1 in 2,000 INCLUDING FALSE POSITIVES classifies Covid19 as a rare disease in winter 20-21
https://t.co/29FNwq0Qw2
Stefano Scoglio, Nobel prize candidate 2018, has calculated a real false positive rate of 95% from official Italian Health Service numbers. This is in line with #BayersTheorem. Calculation in links in thread:
https://t.co/rthjPRJWeB
If we apply the 95% false positive (Scoglio) back to England positive test % incl. false positive: 0.05% (ONS), we get a real % of positives in England of 0.0025% of the population, or 1 in 40,000 people. This would confirm Covid19 as a rare disease as per #BayersTheorem.
Try this calculator for up to 100 tests. https://t.co/5TKEYpjd80
Severe Covid19 is a rare disease in England, if tests are 100% accurate, acc. to hospitalization numbers, it's 0.02% or 1 in 5,000 people.
https://t.co/kFnQVoCspb
#BayesTheorem applied to LF tests: https://t.co/3OrdS7ZFUJ
A simple example of #BayesTheorem with a prevalence of 0.1% (much higher than Covid19) an error range of 1% (RT-PCR Charité range est. 0.8-4%) and only 1,000 people tested: 91% false positives.
#BayesTheorem in simple terms: when medical mass testing includes asymptomatics & the disease affects a minority of the population, a very small margin of error in the testing process will mathematically result in the false positives being many times more than the real positives.
"Covid19"[😞] mass testing graph from The Economist. Y axis being % of test results either true or false. As share of population with active infection (X axis) is well under 1%, most positive tests are false, & most negative results are true. This is called #BAYESTHEOREM.
Latest England estimates:
https://t.co/8hsZ1hNjD7
How to increase the prevalence of a rare disease from 0.01% to 1%? Test the asymptomatics. What prevalence do we estimate Covid19 at including asymptomatic tested? Less than 1%. What could the true prevalence be if we exclude asymptomatic testing? 0.01%. It's called #BayesTheorem
Proof that Matt Hancock is aware of #BayesTheorem, he mentions Bayesian mathematics: https://t.co/hpZYDzD5Pe
As Matt Hancock is clearly aware of #BayesTheorem, if he wanted to avoid the false positives being many more than the true positives, he would not say ONS is applying rigorous Bayesian mathematics, he would instead not implement testing of any asymptomatics not linked to a case.
Matt Hancock is pre-empting the #BayesTheorem false positive trap by mentioning Bayesian mathematics himself in reply. A Freudian slip, a lapsus which reveals what he is really thinking: how do I increase false positives to make Covid19 prevalence appear worse than it really is?
So how does he do it? He implements mass testing of asymptomatics in Universities, then schools. He uses the hierarchical power structures in these institutions to convince healthy students they need to be tested. The schools get closed on false positives, false fear is created.
#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%.
#BAYESTHEOREM @ Cambridge University. 0.5% of 1,937 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 0.5% prevalence instead it's 0%.
Sorry this should say 0.4% of 263 students https://t.co/eSNnhyOI4n
See what happens in #BayesTheorem? Number of asymptomatic testing increases & the estimated prevalence of the disease increases!! This can be addressed by requiring confirmatory tests of those who test positive when numbers are small, otherwise DON'T test asymptomatics.
Cambridge Pooled Testing Report #BayesTheorem
https://t.co/BYIzoTl64c
To have the same number of false negatives as false positives you need a disease that is present in 30% of the population. Covid19 affects less than 1%. This means the false positives VASTLY outnumber both the real positives & the false negatives. It's called #BayesTheorem.
Matt Hancock claim: "the ONS report..address directly the question how the ONS adjusts for potential false positives, due to the high but not perfect specificity of the PCR test. I am very happy for one of my academics to take him through the rigorous Bayesian mathematics"
"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 @DesmondSwayne
https://t.co/pZcFlMBKEZ
I am waiting for one of @MattHancock's academics to take us through this as I have seen no evidence of @ONS adjusting for false positives according to #BayesTheorem https://t.co/ykB67TJORe
Professor Emeritus in Public Health, University of Arizona:
https://t.co/aidVGWOVqH
WHO wakes up to #BayesTheorem https://t.co/nDKklwMhQe

More from Robin Monotti FRSA MA BSc

Robin Monotti FRSA \u2b50
Robin Monotti FRSA ⭐...
@robinmonotti
PROBIOTICS & VIT D: "The vitamin D receptor is highly expressed in the gastrointestinal tract where it transacts gene expression..These results support the underlying hypothesis that the human gut microbiome and vitamin D metabolism are integrally related"
https://t.co/15rVFa1fkk


"Men with higher levels of 1,25(OH)2D and higher activation ratios, but not 25(OH)D itself, are more likely to possess butyrate producing bacteria that are associated with better gut microbial health."

"Several studies suggest that gut microbiota alter intestinal vitamin D metabolism (VDM), and probiotic supplements can affect circulating vitamin D levels."

"Because the serum 25(OH)D correlates with overall vitamin D storage, it is the preferred clinical measure to assess vitamin D sufficiency."

"Clinically, serum 25(OH)D levels ≥20 ng/ml are considered adequate while 25(OH)D levels <20 ng/ml are defined as vitamin D deficiency."
CATEGORY C19
Robin Monotti FRSA
Robin Monotti FRSA
@robinmonotti
I have studied the pandemic response of many countries. One of them got a key element right, which resulted in very few deaths: Japan. Their response was to keep people OUT of hospitals. A policy of early home treatment works best, hospitals only for severe cases & NO INTUBATIONS

JAPAN: "No restrictions were placed on residents’ movements, and businesses from restaurants to hairdressers stayed open. No high-tech apps that tracked people’s movements were deployed." RESULT: Among the lowest deaths in the

Saving the NHS simply means providing early treatment kits in pharmacies & avoiding hospitals for Covid19 patients. For Covid19 infections during a pandemic, hospitals are the problem, not the solution.

I have read accounts of people with high fever literally turned away from hospitals, yet being told by phone what treatment protocol to follow. That was the best pandemic response by far, NOT lockdowns.

JAPAN had some of the lowest Covid19 mortality in the world:
-NO LOCKDOWN
-NO TEST AND TRACE
-NO BUSINESS CLOSURES
-NO HOSPITAL FOR NON CRITICAL CASES
-HOME TREATMENT
-HEALTHY DIET
-LOW OBESITY
CATEGORY C19
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Robin Monotti
Robin Monotti
@robinmonotti
Twitter removed 800 followers from my account today. People have been writing saying twitter automatically unfollowed me for them. Follow me on Parler @robinmonotti & Telegram https://t.co/o5rFaSrCpa to bypass this.

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
TWITTER
Robin Monotti MA FRSA\u2b50
Robin Monotti MA FRSA⭐...
@robinmonotti
"COVID-19 vaccines designed to elicit neutralising antibodies may sensitise vaccine recipients to more severe disease than if they were not vaccinated. Vaccines for SARS, MERS and RSV have never been

"data generated in the development & testing of these vaccines suggest a serious mechanistic concern: that vaccines designed empirically using the traditional approach (consisting of the unmodified or minimally modified coronavirus viral spike to elicit neutralising antibodies)"

"be they composed of protein, viral vector, DNA or RNA and irrespective of delivery method, may worsen COVID-19 disease via antibody-dependent enhancement (ADE)."

"This risk is sufficiently obscured in clinical trial protocols and consent forms for ongoing COVID-19 vaccine trials that adequate patient comprehension of this risk is unlikely to occur, obviating truly informed consent by subjects in these trials."

"Covid-19: vaccination roll-out correlates with worse mortality trends"
CATEGORY C19
Robin Monotti
Robin Monotti
@robinmonotti
I have now re-examined this document:


It clearly does indicate both the risks of bacterial infection & to prescribe broad spectrum antibiotics as part of treatment:
"Collect blood cultures for bacteria that cause pneumonia and sepsis, ideally before antimicrobial therapy. DO NOT
delay antimicrobial therapy"

"6. Management of severe COVID-19: treatment of co-infections
Give empiric antimicrobials [broad spectrum antibiotics] to treat all likely pathogens causing SARI and sepsis as soon as possible, within 1 hour
of initial assessment for patients with sepsis."

"Empiric antibiotic treatment should be based on the clinical diagnosis (community-acquired
pneumonia, health care-associated pneumonia [if infection was acquired in health care setting] or sepsis), local epidemiology &
susceptibility data, and national treatment guidelines"

"When there is ongoing local circulation of seasonal influenza, empiric therapy with a neuraminidase inhibitor [anti-viral influenza drugs] should
be considered for the treatment for patients with influenza or at risk for severe disease."
HEALTH

More from Category c19

Abir Ballan \U0001f60a
Abir Ballan 😊
@abirballan
A brief tutorial in health education to show you how sound health education models have been used for manipulation instead of creating health awareness during the COVID 19 pandemic. We'll uses masks as an example of a health behavior.
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
CATEGORY C19 , CETEVORY C19
Robin Monotti MA FRSA\u2b50
Robin Monotti MA FRSA⭐...
@robinmonotti
"COVID-19 vaccines designed to elicit neutralising antibodies may sensitise vaccine recipients to more severe disease than if they were not vaccinated. Vaccines for SARS, MERS and RSV have never been

"data generated in the development & testing of these vaccines suggest a serious mechanistic concern: that vaccines designed empirically using the traditional approach (consisting of the unmodified or minimally modified coronavirus viral spike to elicit neutralising antibodies)"

"be they composed of protein, viral vector, DNA or RNA and irrespective of delivery method, may worsen COVID-19 disease via antibody-dependent enhancement (ADE)."

"This risk is sufficiently obscured in clinical trial protocols and consent forms for ongoing COVID-19 vaccine trials that adequate patient comprehension of this risk is unlikely to occur, obviating truly informed consent by subjects in these trials."

"Covid-19: vaccination roll-out correlates with worse mortality trends"
CATEGORY C19
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Howard Steen
Howard Steen
@HowardSteen4
1/n Presenting Part One of my second trilogy (following the 2020 Lockdown Trilogy) in my Cartoon series:

“The War of the Worlds & Age of Extinction Cometh – The Transformers of MolBiol”

A comprehensive guide of the imagery found in this canvas is contained in this thread:


2/n Starting at the upper RH part of the image and moving from right to left, one first sees the “Three Witches of Molbiol” riding on a Trojan Horse. The three witches (ref: Macbeth) are depicted as enablers of the crisis via their mischief = misuse of molecular biology.


3/n Let us start with the arguably fake Prof. Drosten who heads the Charité Institute in Berlin. Drosten led work to develop a first PCR test protocol for SARS-CoV-2 published by @Eurosurveillanc in record time and promoted by WHO as a ‘gold standard’.


4/n Had Drosten done his work honestly and produced a test capable of detecting the SARS-CoV-2 entity, all might be well today, but he did not. His manifest scientific failings and problems with conflicts of interest are fully documented in here:

5/n Of course Drosten could not have carried off this piece of MolBiol sleight of hand all on his own. He needed accomplices & global support. A key European ‘witch’ was Dutch based @MarionKoopmans , a co-author of the Corman-Drosten scientific paper.
CATEGORY C19
Dr. Simon \u30c4
Dr. Simon ツ
@goddeketal
1/: Scientific integrity is a valuable commodity. What happens when external funders take influence on both scientific™ findings and media coverage can be seen in the current global crisis. It is time to return to the fundamental principles of science: ⬇️A thread⬇️


2/: In this thread, I will roughly explain why #empiricism and #repeatability are important factors for science and why model approaches should be interpreted with caution (and that is what I am saying as a modeller).

3/: I am aware that the principle of science is far more profound than explained in this thread, but this thread is written for laymen on @twitter and not for the lecture room. Also, within the scientific community, there is no clear consensus about this topic either.

4/: In recent years, I have been working on complex food production systems that increase food production and show high nutrient and water use efficiencies. I have thus been involved in plant growth experiments and holistic system modelling activities (@MATLAB, @AnyLogicCo).


5/: The plant growth experiments included environmental factors, #metagenomics (i.e. microbial genome sequencing), flow regulations etc. and the modelling covered the prediction on non-existing systems based on experimental and literature data.
CATEGORY C19
Alex Berenson
Alex Berenson
@AlexBerenson
1/ An excellent new paper from Denmark that tracks every vaccination given to nursing home residents there shows an 40% RISE in infections immediately after the first @pfizer dose and no efficacy at any point. Protection in this population after “full” vaccination is 64%...


2/ The researchers also tracked health-care workers, the other group in Denmark to receive the vaccine first. They actually had an even LARGER rise in infections immediately following dose 1, but overall higher protection at “full” vaccination (a week after dose 2) - 90%...

3/ This paper is the best yet (because it’s the least political). It is also in line with the Israeli and English data show once you wade through their spin. The takeaways are: The vaccine is much less effective in the people who need it most and DON’T DELAY THE SECOND SHOT...

4/ By the way, i#depending on how long the vaccine provides protection, its OVERALL effectiveness will be below whatever the peak figure is, maybe well below - you need a lot of good weeks to make up for that bolus at the beginning - but I don’t even want to go there.

5/ This paper also shows why the raw Israeli numbers are trash - if infections are declining overall (as they were in Israel and Denmark in February) looking at infections in the vaccinated population without adjusting for that trend markedly overestimates the vaccine effect.
CATEGORY C19

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MEENAKSHI AMMAN, MADURAI (TN)
#bharatmandir #navratri2021

A paadal Petra sthalam where Shiva took the form of Sundareswarar (the handsome one) and married Devi Parvati (Meenakshi).
Devi is also known by the name Angayarkanni (mother with the beautiful fish eyes).
@GunduHuDuGa


Devi Meenakshi emerged from yagna fire as a 3 year old girl when Pandyan King Malayadwaja and Kanchanamalai were praying for a child.
It is said that Devi was born with three breasts and there was a prophesy that her superfluous breast would melt away when she met her husband.


Devi ruled over Madurai and captured Indralok. She went on to capture Kailasha. When she saw Shiva, her 3rd breast disappeared and she realised that Shiva would be her consort.
The divine marriage was attended by all Devas and Sri Vishnu (as her brother) gave her hand to Shiva.


It is said that Indra found a swayambhu lingam at Kadamba Vanam. He placed it in Madurai where the kshetram stands. Here, Shiva is seen on the vehicle of Indra.
The Golden Lotus Tank is said to be the place where a golden lotus blossomed for the puja performed by Indra.


The Meenakshi Thirukalyanam festival is celebrated in the Chithirai month to mark the divine marriage of Meenakshi Amman. The festival includes a procession where Meenakshi and Sundareshwara travel in a chariot and Sri Vishnu gives away his sister in marriage to Shiva.
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Patrick McKenzie
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Most software founders, particularly in B2B, need to get radically better at sales. @Steli , who is the best person for explaining the scrappy stages in the beginning and then building out a team with scripts and processes, wrote a guide to:

For technical founders it is irrationally, obscenely hard to reverse years of programming (ba dum bum) that sales is a value-destroying activity. Sales is CLEARLY a value-creating activity, contingent on you have a value-creating product.

The world will not drop what they are doing to adopt your work. This is particularly true in B2B, where simply building a better mousetrap won't overcome the activation energy required to get people with additional non-mice problems to prioritize changing mousetraps today.

This is very non-obvious for founders because founders are not often people who *want* to be sold to. We often come from a background where trying out tools is a bit of a fun hobby. We like looking at all the options, making charts, and ripping out partially complete tests.

"This week I unsuccessfully trialed four software options for automating that thing that has been killing us. Our actual production process remains the same as last week. Don't worry; this was a great use of time." is not a thing you want to write in a progress report to manager.
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Anshul Pandey
Anshul Pandey
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IMPORTANCE, ADVANTAGES AND CHARACTERISTICS OF BHAGWAT PURAN

It was Ved Vyas who edited the eighteen thousand shlokas of Bhagwat. This book destroys all your sins. It has twelve parts which are like kalpvraksh.

In the first skandh, the importance of Vedvyas


and characters of Pandavas are described by the dialogues between Suutji and Shaunakji. Then there is the story of Parikshit.
Next there is a Brahm Narad dialogue describing the avtaar of Bhagwan. Then the characteristics of Puraan are mentioned.

It also discusses the evolution of universe.( https://t.co/2aK1AZSC79 )

Next is the portrayal of Vidur and his dialogue with Maitreyji. Then there is a mention of Creation of universe by Brahma and the preachings of Sankhya by Kapil Muni.


In the next section we find the portrayal of Sati, Dhruv, Pruthu, and the story of ancient King, Bahirshi.
In the next section we find the character of King Priyavrat and his sons, different types of loks in this universe, and description of Narak. ( https://t.co/gmDTkLktKS )


In the sixth part we find the portrayal of Ajaamil ( https://t.co/LdVSSNspa2 ), Daksh and the birth of Marudgans( https://t.co/tecNidVckj )

In the seventh section we find the story of Prahlad and the description of Varnashram dharma. This section is based on karma vaasna.
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Andrey \uf8ff Azimov
Andrey  Azimov
@AndreyAzimov
The best way to know if people like your product is NOT:

- Have a lot of emails in the waiting list
- Become #1 on PH
- Become #1 of HN or Reddit
- Have people that saing "I'll pay"
- Have a lot of free users

The best way to know if they're actually pay for it.

The only thing that matters is your product providing a value, and you can't know this until people will pay money for it.

We can have a first signal of a product/market fit after the launch by check how many sales we've got in the first 24h. Some scale:

200+ This has a high potential.
100+: This has a potential.
50+: Some people need it.
10+: People almost don't need it.
0+: People don't need it.

This is for a single time payment product. For a subscription probably it should be less because people hate subscription.

And obviously, you should have a lot of traffic like 3-5k+.

Here is a stat for my products (macOS apps) for the first 24h after the launch:
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