So now we have a certified Serologic testing of Red Cross US blood donations to identify SARS-CoV-2-reactive antibodies, and that battery of testing shows widespread presence of SARS-CoV-2-reactive antibodies in donations made between December 2019-January 2020
More from Roscoe B Davis🎖⭐️⭐️⭐️
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You gotta think about this one carefully!
Imagine you go to the doctor and get tested for a rare disease (only 1 in 10,000 people get it.)
The test is 99% effective in detecting both sick and healthy people.
Your test comes back positive.
Are you really sick? Explain below 👇
The most complete answer from every reply so far is from Dr. Lena. Thanks for taking the time and going through
You can get the answer using Bayes' theorem, but let's try to come up with it in a different —maybe more intuitive— way.
👇
Here is what we know:
- Out of 10,000 people, 1 is sick
- Out of 100 sick people, 99 test positive
- Out of 100 healthy people, 99 test negative
Assuming 1 million people take the test (including you):
- 100 of them are sick
- 999,900 of them are healthy
👇
Let's now test both groups, starting with the 100 people sick:
▫️ 99 of them will be diagnosed (correctly) as sick (99%)
▫️ 1 of them is going to be diagnosed (incorrectly) as healthy (1%)
👇
Imagine you go to the doctor and get tested for a rare disease (only 1 in 10,000 people get it.)
The test is 99% effective in detecting both sick and healthy people.
Your test comes back positive.
Are you really sick? Explain below 👇
The most complete answer from every reply so far is from Dr. Lena. Thanks for taking the time and going through
Really doesn\u2019t fit well in a tweet. pic.twitter.com/xN0pAyniFS
— Dr. Lena Sugar \U0001f3f3\ufe0f\u200d\U0001f308\U0001f1ea\U0001f1fa\U0001f1ef\U0001f1f5 (@_jvs) February 18, 2021
You can get the answer using Bayes' theorem, but let's try to come up with it in a different —maybe more intuitive— way.
👇
Here is what we know:
- Out of 10,000 people, 1 is sick
- Out of 100 sick people, 99 test positive
- Out of 100 healthy people, 99 test negative
Assuming 1 million people take the test (including you):
- 100 of them are sick
- 999,900 of them are healthy
👇
Let's now test both groups, starting with the 100 people sick:
▫️ 99 of them will be diagnosed (correctly) as sick (99%)
▫️ 1 of them is going to be diagnosed (incorrectly) as healthy (1%)
👇
This is a limited point about availability of efficacy data for vaccines under development in the context of the approval for CovidShield and Covaxin in India.
There have been many so-called experts on the idiotbox opining about apparent availability of P III data which 1/n
2/n apparently the SEC had access to based on which it "supposedly" approved Covaxin. Another argument that is prevalent is other regulators (US FDA and MHRA) also approved vaccines based on P II data alone. Let me give you a few facts so that you can make your own decision.
3/n The protocols for both mRNA vaccines are publicly available. You can check. Both protocols *define* when the interim analysis will be done. This is not subjective. They clearly define how many infections need to be documented before the Data Safety Monitoring Board meets.
4/n Find the protocols for the bridging study for CovidShield and Covaxin and look for a similar milestone.
Here is one set of efficacy data post the interim analysis of a mRNA vaccine.
Source: https://t.co/BAPnP3PxEb
5/n This data was analyzed post the interim analysis where the blind was broken by the DSMB. Now ask yourself this question:
How does the SEC, or the sponsor of these studies, or the experts who are offering their opinion liberally on the idiotbox know what the efficacy is
There have been many so-called experts on the idiotbox opining about apparent availability of P III data which 1/n
2/n apparently the SEC had access to based on which it "supposedly" approved Covaxin. Another argument that is prevalent is other regulators (US FDA and MHRA) also approved vaccines based on P II data alone. Let me give you a few facts so that you can make your own decision.
3/n The protocols for both mRNA vaccines are publicly available. You can check. Both protocols *define* when the interim analysis will be done. This is not subjective. They clearly define how many infections need to be documented before the Data Safety Monitoring Board meets.
4/n Find the protocols for the bridging study for CovidShield and Covaxin and look for a similar milestone.
Here is one set of efficacy data post the interim analysis of a mRNA vaccine.
Source: https://t.co/BAPnP3PxEb
5/n This data was analyzed post the interim analysis where the blind was broken by the DSMB. Now ask yourself this question:
How does the SEC, or the sponsor of these studies, or the experts who are offering their opinion liberally on the idiotbox know what the efficacy is
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MDZS is laden with buddhist references. As a South Asian person, and history buff, it is so interesting to see how Buddhism, which originated from India, migrated, flourished & changed in the context of China. Here's some research (🙏🏼 @starkjeon for CN insight + citations)
1. LWJ’s sword Bichen ‘is likely an abbreviation for the term 躲避红尘 (duǒ bì hóng chén), which can be translated as such: 躲避: shunning or hiding away from 红尘 (worldly affairs; which is a buddhist teaching.) (https://t.co/zF65W3roJe) (abbrev. TWX)
2. Sandu (三 毒), Jiang Cheng’s sword, refers to the three poisons (triviṣa) in Buddhism; desire (kāma-taṇhā), delusion (bhava-taṇhā) and hatred (vibhava-taṇhā).
These 3 poisons represent the roots of craving (tanha) and are the cause of Dukkha (suffering, pain) and thus result in rebirth.
Interesting that MXTX used this name for one of the characters who suffers, arguably, the worst of these three emotions.
3. The Qian kun purse “乾坤袋 (qián kūn dài) – can be called “Heaven and Earth” Pouch. In Buddhism, Maitreya (मैत्रेय) owns this to store items. It was believed that there was a mythical space inside the bag that could absorb the world.” (TWX)
1. LWJ’s sword Bichen ‘is likely an abbreviation for the term 躲避红尘 (duǒ bì hóng chén), which can be translated as such: 躲避: shunning or hiding away from 红尘 (worldly affairs; which is a buddhist teaching.) (https://t.co/zF65W3roJe) (abbrev. TWX)
2. Sandu (三 毒), Jiang Cheng’s sword, refers to the three poisons (triviṣa) in Buddhism; desire (kāma-taṇhā), delusion (bhava-taṇhā) and hatred (vibhava-taṇhā).
These 3 poisons represent the roots of craving (tanha) and are the cause of Dukkha (suffering, pain) and thus result in rebirth.
Interesting that MXTX used this name for one of the characters who suffers, arguably, the worst of these three emotions.
3. The Qian kun purse “乾坤袋 (qián kūn dài) – can be called “Heaven and Earth” Pouch. In Buddhism, Maitreya (मैत्रेय) owns this to store items. It was believed that there was a mythical space inside the bag that could absorb the world.” (TWX)
Joe Rogan's podcast is now is listened to 1.5+ billion times per year at around $50-100M/year revenue.
Independent and 100% owned by Joe, no networks, no middle men and a 100M+ people audience.
👏
https://t.co/RywAiBxA3s
Joe is the #1 / #2 podcast (depends per week) of all podcasts
120 million plays per month source https://t.co/k7L1LfDdcM
https://t.co/aGcYnVDpMu
Independent and 100% owned by Joe, no networks, no middle men and a 100M+ people audience.
👏
https://t.co/RywAiBxA3s
Joe is the #1 / #2 podcast (depends per week) of all podcasts
120 million plays per month source https://t.co/k7L1LfDdcM
https://t.co/aGcYnVDpMu