Announcing the 2021 Summer Institutes in Computational Social Science. #SICSS is for grad students, post-docs & beginning faculty. Free for participants. @chris_bail and I are happy to tell you about all 20 locations. https://t.co/wolhtZIMc5 [thread]
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💥💥 Situation Update, Dec. 7th – DNI John Ratcliffe, the bogus science of PCR testing and China’s GMO super soldiers
✅ I cover the bogus science behind PCR testing, explaining from a lab science point of view why no PCR instrument can “quantify” anything,
[M. Adams]
1. whether it’s a coronavirus viral load or the percentage of a food that’s GMO. In fact, literally all the tests currently conducted with PCR equipment are scientifically invalid when it comes to diagnosing illness or determining infectiousness. The sample acquisition used for
2. PCR tests — nasal swabs — aren’t even standardized! (100% bogus junk science).
After covering PCR tests, today’s update then goes into detail about Director of National Intelligence (DNI) John Ratcliffe, pointing out that he will be issuing a report on foreign interference
3. in U.S. elections on or before Dec. 18th. If this report confirms the existence of foreign interference that was capable of altering the outcome of the election, it gives President Trump full justification to declare the election null and void and dispatch military troops
4. to seize all ballots and hold a new count under military authority.
👉 Podcast notes and sources:
The office of military commissions has cleared its calendar for December:
https://t.co/u4nFRiUj8m
US military STOCKPILED Pfizer’s mRNA vaccineBEFORE it was approved by theFDA
✅ I cover the bogus science behind PCR testing, explaining from a lab science point of view why no PCR instrument can “quantify” anything,
[M. Adams]
1. whether it’s a coronavirus viral load or the percentage of a food that’s GMO. In fact, literally all the tests currently conducted with PCR equipment are scientifically invalid when it comes to diagnosing illness or determining infectiousness. The sample acquisition used for
2. PCR tests — nasal swabs — aren’t even standardized! (100% bogus junk science).
After covering PCR tests, today’s update then goes into detail about Director of National Intelligence (DNI) John Ratcliffe, pointing out that he will be issuing a report on foreign interference
3. in U.S. elections on or before Dec. 18th. If this report confirms the existence of foreign interference that was capable of altering the outcome of the election, it gives President Trump full justification to declare the election null and void and dispatch military troops
4. to seize all ballots and hold a new count under military authority.
👉 Podcast notes and sources:
The office of military commissions has cleared its calendar for December:
https://t.co/u4nFRiUj8m
US military STOCKPILED Pfizer’s mRNA vaccineBEFORE it was approved by theFDA
Hard agree. And if this is useful, let me share something that often gets omitted (not by @kakape).
Variants always emerge, & are not good or bad, but expected. The challenge is figuring out which variants are bad, and that can't be done with sequence alone.
You can't just look at a sequence and say, "Aha! A mutation in spike. This must be more transmissible or can evade antibody neutralization." Sure, we can use computational models to try and predict the functional consequence of a given mutation, but models are often wrong.
The virus acquires mutations randomly every time it replicates. Many mutations don't change the virus at all. Others may change it in a way that have no consequences for human transmission or disease. But you can't tell just looking at sequence alone.
In order to determine the functional impact of a mutation, you need to actually do experiments. You can look at some effects in cell culture, but to address questions relating to transmission or disease, you have to use animal models.
The reason people were concerned initially about B.1.1.7 is because of epidemiological evidence showing that it rapidly became dominant in one area. More rapidly that could be explained unless it had some kind of advantage that allowed it to outcompete other circulating variants.
Variants always emerge, & are not good or bad, but expected. The challenge is figuring out which variants are bad, and that can't be done with sequence alone.
Feels like the next thing we're going to need is a ranking system for how concerning "variants of concern\u201d actually are.
— Kai Kupferschmidt (@kakape) January 15, 2021
A lot of constellations of mutations are concerning, but people are lumping together variants with vastly different levels of evidence that we need to worry.
You can't just look at a sequence and say, "Aha! A mutation in spike. This must be more transmissible or can evade antibody neutralization." Sure, we can use computational models to try and predict the functional consequence of a given mutation, but models are often wrong.
The virus acquires mutations randomly every time it replicates. Many mutations don't change the virus at all. Others may change it in a way that have no consequences for human transmission or disease. But you can't tell just looking at sequence alone.
In order to determine the functional impact of a mutation, you need to actually do experiments. You can look at some effects in cell culture, but to address questions relating to transmission or disease, you have to use animal models.
The reason people were concerned initially about B.1.1.7 is because of epidemiological evidence showing that it rapidly became dominant in one area. More rapidly that could be explained unless it had some kind of advantage that allowed it to outcompete other circulating variants.
JUST ONE PERSON—UK 🇬🇧 scientists think one immunocompromised person who cleared virus slowly & only partially wiped out an infection, leaving behind genetically-hardier viruses that rebound & learn how to survive better. That’s likely how #B117 started. 🧵 https://t.co/bMMjM8Hiuz
2) The leading hypothesis is that the new variant evolved within just one person, chronically infected with the virus for so long it was able to evolve into a new, more infectious form.
same thing happened in Boston in another immunocompromised person that was sick for 155 days.
3) What happened in Boston with one 45 year old man who was highly infectious for 155 days straight before he died... is exactly what scientists think happened in Kent, England that gave rise to #B117.
4) Doctors were shocked to find virus has evolved many different forms inside of this one immunocompromised man. 20 new mutations in one virus, akin to the #B117. This is possibly how #B1351 in South Africa 🇿🇦 and #P1 in Brazil 🇧🇷 also evolved.
5) “On its own, the appearance of a new variant in genomic databases doesn’t tell us much. “That’s just one genome amongst thousands every week. It wouldn’t necessarily stick out,” says Oliver Pybus, a professor of evolution and infectious disease at Oxford.
2) The leading hypothesis is that the new variant evolved within just one person, chronically infected with the virus for so long it was able to evolve into a new, more infectious form.
same thing happened in Boston in another immunocompromised person that was sick for 155 days.
3) What happened in Boston with one 45 year old man who was highly infectious for 155 days straight before he died... is exactly what scientists think happened in Kent, England that gave rise to #B117.
Immunocompromised 45 year old suffered from #COVID19 for 155 days before he died. The virus was changing very quickly inside the man's body\u2014it acquired a big cluster of >20 mutations\u2014resembled the same ones seen in #B117 & #B1351. (NPR audio Part 1 of 2)\U0001f9f5https://t.co/7kWiBZ1xGk pic.twitter.com/ZJ7AExB78Y
— Eric Feigl-Ding (@DrEricDing) February 8, 2021
4) Doctors were shocked to find virus has evolved many different forms inside of this one immunocompromised man. 20 new mutations in one virus, akin to the #B117. This is possibly how #B1351 in South Africa 🇿🇦 and #P1 in Brazil 🇧🇷 also evolved.
2) NPR report audio part 2 of 2:
— Eric Feigl-Ding (@DrEricDing) February 8, 2021
Dr. Li couldn't believe what they found. "I was shocked," he says. "When I saw the virus sequences, I knew that we were dealing with something completely different and potentially very important." pic.twitter.com/HT3Yt6djFd
5) “On its own, the appearance of a new variant in genomic databases doesn’t tell us much. “That’s just one genome amongst thousands every week. It wouldn’t necessarily stick out,” says Oliver Pybus, a professor of evolution and infectious disease at Oxford.
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Master Thread of all my threads!
Hello!! 👋
• I have curated some of the best tweets from the best traders we know of.
• Making one master thread and will keep posting all my threads under this.
• Go through this for super learning/value totally free of cost! 😃
1. 7 FREE OPTION TRADING COURSES FOR
2. THE ABSOLUTE BEST 15 SCANNERS EXPERTS ARE USING
Got these scanners from the following accounts:
1. @Pathik_Trader
2. @sanjufunda
3. @sanstocktrader
4. @SouravSenguptaI
5. @Rishikesh_ADX
3. 12 TRADING SETUPS which experts are using.
These setups I found from the following 4 accounts:
1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4.
4. Curated tweets on HOW TO SELL STRADDLES.
Everything covered in this thread.
1. Management
2. How to initiate
3. When to exit straddles
4. Examples
5. Videos on
Hello!! 👋
• I have curated some of the best tweets from the best traders we know of.
• Making one master thread and will keep posting all my threads under this.
• Go through this for super learning/value totally free of cost! 😃
1. 7 FREE OPTION TRADING COURSES FOR
A THREAD:
— Aditya Todmal (@AdityaTodmal) November 28, 2020
7 FREE OPTION TRADING COURSES FOR BEGINNERS.
Been getting lot of dm's from people telling me they want to learn option trading and need some recommendations.
Here I'm listing the resources every beginner should go through to shorten their learning curve.
(1/10)
2. THE ABSOLUTE BEST 15 SCANNERS EXPERTS ARE USING
Got these scanners from the following accounts:
1. @Pathik_Trader
2. @sanjufunda
3. @sanstocktrader
4. @SouravSenguptaI
5. @Rishikesh_ADX
The absolute best 15 scanners which experts are using.
— Aditya Todmal (@AdityaTodmal) January 29, 2021
Got these scanners from the following accounts:
1. @Pathik_Trader
2. @sanjufunda
3. @sanstocktrader
4. @SouravSenguptaI
5. @Rishikesh_ADX
Share for the benefit of everyone.
3. 12 TRADING SETUPS which experts are using.
These setups I found from the following 4 accounts:
1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4.
12 TRADING SETUPS which experts are using.
— Aditya Todmal (@AdityaTodmal) February 7, 2021
These setups I found from the following 4 accounts:
1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4. @DillikiBiili
Share for the benefit of everyone.
4. Curated tweets on HOW TO SELL STRADDLES.
Everything covered in this thread.
1. Management
2. How to initiate
3. When to exit straddles
4. Examples
5. Videos on
Curated tweets on How to Sell Straddles
— Aditya Todmal (@AdityaTodmal) February 21, 2021
Everything covered in this thread.
1. Management
2. How to initiate
3. When to exit straddles
4. Examples
5. Videos on Straddles
Share if you find this knowledgeable for the benefit of others.
I’m torn on how to approach the idea of luck. I’m the first to admit that I am one of the luckiest people on the planet. To be born into a prosperous American family in 1960 with smart parents is to start life on third base. The odds against my very existence are astronomical.
I’ve always felt that the luckiest people I know had a talent for recognizing circumstances, not of their own making, that were conducive to a favorable outcome and their ability to quickly take advantage of them.
In other words, dumb luck was just that, it required no awareness on the person’s part, whereas “smart” luck involved awareness followed by action before the circumstances changed.
So, was I “lucky” to be born when I was—nothing I had any control over—and that I came of age just as huge databases and computers were advancing to the point where I could use those tools to write “What Works on Wall Street?” Absolutely.
Was I lucky to start my stock market investments near the peak of interest rates which allowed me to spend the majority of my adult life in a falling rate environment? Yup.
Ironies of Luck https://t.co/5BPWGbAxFi
— Morgan Housel (@morganhousel) March 14, 2018
"Luck is the flip side of risk. They are mirrored cousins, driven by the same thing: You are one person in a 7 billion player game, and the accidental impact of other people\u2019s actions can be more consequential than your own."
I’ve always felt that the luckiest people I know had a talent for recognizing circumstances, not of their own making, that were conducive to a favorable outcome and their ability to quickly take advantage of them.
In other words, dumb luck was just that, it required no awareness on the person’s part, whereas “smart” luck involved awareness followed by action before the circumstances changed.
So, was I “lucky” to be born when I was—nothing I had any control over—and that I came of age just as huge databases and computers were advancing to the point where I could use those tools to write “What Works on Wall Street?” Absolutely.
Was I lucky to start my stock market investments near the peak of interest rates which allowed me to spend the majority of my adult life in a falling rate environment? Yup.
