Just a flu bro...literally

Because of the question you asked!

"All I care about is what happens if you get re-infected or if our immune system really kills the virus or does it stay latent in the nervous system - herpes style."

Herpes Siplex is something you can never shake. It is in your body forever. Just like the fucking Chicken Pox virus. If you test someone for the Varicella antibodies, will they test positive? Of COURSE! Because if they have ever had it, they have the antibodies! That is why they never get it again!

Herpes I, you have the thing in your body all the damned time. Your body is constantly fighting it. You can spread it.

If you have not had a cold sore on your mouth in years, it means your body has been fighting it well. But that does not mean you cannot spread it, because you still have the thing in your system.
Holy shit. Again.

One is RNA, the other DNA.

One is a novel virus, the other has been around for decades.

Why do you keep conflating them?
 
This is interesting.

https://www.boston25news.com/news/c...-homeless-shelter/Z253TFBO6RG4HCUAARBO4YWO64/

CDC reviewing ‘stunning’ universal testing results from Boston homeless shelter

BOSTON — The Centers for Disease Control and Prevention is now “actively looking into” results from universal COVID-19 testing at Pine Street Inn homeless shelter.

The broad-scale testing took place at the shelter in Boston’s South End a week and a half ago because of a small cluster of cases there.

Of the 397 people tested, 146 people tested positive. Not a single one had any symptoms.

“It was like a double knockout punch. The number of positives was shocking, but the fact that 100 percent of the positives had no symptoms was equally shocking,” said Dr. Jim O’Connell, president of Boston Health Care for the Homeless Program, which provides medical care at the city’s shelters.
 
Holy shit. Again.

One is RNA, the other DNA.

One is a novel virus, the other has been around for decades.

Why do you keep conflating them?

Must be the new math on immunology. Here you go, Doc, have some butterflies!

 
Wait for the peer review of Santa Clara results.

Its amazing how we are going from must be 0.06! to 0.33 to 0.75, (Germany has about 0.8 to 1.4 estimate right now) in a blink, by guys who are just, oh I got this, I got this ting and dis ting, bargaining like kids for a result they want.
I get your point. However, you may be blissfully unaware but this is a trading forum. Until Prado is proven wrong, I am going with the guy who is considered the smartest, best quantitative algorithmic trader on the face of the planet.
 
I get your point. However, you may be blissfully unaware but this is a trading forum. Until Prado is proven wrong, I am going with the guy who is considered the smartest, best quantitative algorithmic trader on the face of the planet.

You know what the average IQ of a billionare is? About 130, something I learned from one of them when I worked for him. He was in the tens of billions.

My IQ is also about 130, so say 1 in 50 brain in a developed nation, that makes me smart enough for one thing, I'm just bright enough to know what I don't know and a glimmer of what others far smarter may or may not know. Its a sweet spot.

Without data that is true and all I see so far is potentially poor quality tests and not yet peer reviewed results, I'll stick with the Germans who have a huge pharmaceutical industry and did massive testing early. Also they are less political.

I would like all this to end but while Trump and many of you seem to think a lie becomes real and therefore not a lie when most believe it, virus don't care bout dat as they say.
 
Hmmm...that is odd. That is exactly what Prado said. Nah...there is no way that the best quant on the face of the planet is correct.

https://www.foxnews.com/science/third-blood-samples-massachusetts-study-coronavirus

One third of participants in Massachusetts study tested positive for antibodies linked to coronavirus

We've long thought that the reported numbers are vastly under-counting what the actual infection is," Ambrosino told the Boston Globe. “Those reported numbers are based on positive COVID-19 tests, and we're all aware that a very, very small percentage of people in Chelsea and everywhere are getting COVID-19 tests."

He added: “Still, it's kind of sobering that 30 percent of a random group of 200 people that are showing no symptoms are, in fact, infected. It's all the more reason for everyone to be practicing physical distancing."
 
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With respect to H1N1, the estimates for fatality rates 10 week into the pandemic were any where from 0.1% to 5.1%. Years later, the health authorities have concluded that the fatality rate is only 0.02%.

The above info is from a paper that Marcos Lopez de Prado just published. He is a professor not, but, he was previously considered the best quant trader in the world.

From the paper:

diamond-Copy.jpg

First let me state that you provided no link or source for your information above; I do not find it in Marcos Lopez de Prado's publications, his twitter feed, on his website or anywhere else. I question the source and expect you to back it up with a url proving that the above is from Marcos Lopez de Prado.

Marcos Lopez de Prado's publications has been focused on lessons the market can learn from the COVID-19 crisis - for example his "Three Quant Lessons from COVID-19" from March 31. There is no study or slides on the Diamond Princess to be found.

Three Quant Lessons from COVID-19
https://poseidon01.ssrn.com/deliver...0121108117084065031082108029017115068&EXT=pdf

Second - the study of one closed environment is meaningless unless you study all closed environments. There are plenty of closed environments to select for study - multiple nursing homes, aircraft carriers and cruise ships where everyone has been tested.

The nursing homes which do not allow anyone in or out, and the staff must stay on site are a good study. Most of nursing homes demonstrate a death rate of over 70%. The residents being frail and elderly tend to skew the results.

Trying to take the figures from one single "closed environment" and attempting to apply it to the entire population is absurd. Why not start with the local nursing home as an environment and then assume that 70% of mankind will be knocked-off.
 
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Hmmm...that is odd. That is exactly what Prado said. Nah...there is no way that the best quant on the face of the planet is correct.

https://www.foxnews.com/science/third-blood-samples-massachusetts-study-coronavirus

One third of participants in Massachusetts study tested positive for antibodies linked to coronavirus

We've long thought that the reported numbers are vastly under-counting what the actual infection is," Ambrosino told the Boston Globe. “Those reported numbers are based on positive COVID-19 tests, and we're all aware that a very, very small percentage of people in Chelsea and everywhere are getting COVID-19 tests."

He added: “Still, it's kind of sobering that 30 percent of a random group of 200 people that are showing no symptoms are, in fact, infected. It's all the more reason for everyone to be practicing physical distancing."

Let's once again address the flawed Massachusetts study - since it appears the problems in this study are not clear despite posting of earlier information outlining its faults. This study can hardly be considered to back what "Prado said" (ignoring the likely issue that Prado never published the chart you attributed to him).

So you go and test a mere 200 residents at the top hot spot in Massachusetts (Chelsea). 64 of the residents test positive for anti-bodies. On top of this - "While the participants appeared healthy, about half told the doctors that they experienced at least one symptom of COVID-19 in the past four weeks."

"Ambrosino called Chelsea the epicenter of the crisis in Massachusetts. Chelsea has the state’s highest rate of confirmed cases, with at least 712 confirmed cases and 39 deaths – an infection rate of around 2 percent."


So 100 of the 200 residents in a top hot spot exhibited symptoms of COVID-19 in the past four weeks, and people act surprised when 64 out of the 200 test positive for anti-bodies in a quick blood test of questionable accuracy.

Also you are testing people with an anti-body test while they are probably still actively positive with COVID-19 which will lead to inconsistent results.

On top of this the company providing the test, BioMedomics, has come under fire for inaccurate tests - including those distributed in North Carolina. BioMedtronics is small start-up located in our RTP area of North Carolina and has continually hyped itself for years -- claiming they have rapid tests for everything from sickle cell anemia to many other diseases. The FDA says that serological tests like those offered by BioMedomics are inaccurate and while the FDA would provide Emergency Use Authorization but would not likely ever approve the tests beyond the emergency use.

Founded in 2007, BioMedomics is a privately-held clinical diagnostics company located in Morrisville, North Carolina.
 
Sample too small with 200, any trader knows the issues with this. In the same way the cruise ship being a likely high virus load space could be a bad test. There are huge scale results going on in the world Ecuador for example, Germany, Sweden vs Finland, Norway. The original Santa Clara hypothesis was covid-19 (or a mutant) was that due the high Chinese American population back and forth was an early site. Problem is I have not seen evidence of covid-19 which in severe cases is hard to miss being found before it should have been found? Maybe there are two strains in parallel.

Off to fix something, not a day for thinking.

FB_IMG_1587270953092.jpg
 
First let me state that you provided no link or source for your information above; I do not find it in Marcos Lopez de Prado's publications, his twitter feed, on his website or anywhere else. I question the source and expect you to back it up with a url proving that the above is from Marcos Lopez de Prado.

Marcos Lopez de Prado's publications has been focused on lessons the market can learn from the COVID-19 crisis - for example his "Three Quant Lessons from COVID-19" from March 31. There is no study or slides on the Diamond Princess to be found.

Three Quant Lessons from COVID-19
https://poseidon01.ssrn.com/deliver...0121108117084065031082108029017115068&EXT=pdf

Second - the study of one closed environment is meaningless unless you study all closed environments. There are plenty of closed environments to select for study - multiple nursing homes, aircraft carriers and cruise ships where everyone has been tested.

The nursing homes which do not allow anyone in or out, and the staff must stay on site are a good study. Most of nursing homes demonstrate a death rate of over 70%. The residents being frail and elderly tend to skew the results.

Trying to take the figures from one single "closed environment" and attempting to apply it to the entire population is absurd. Why not start with the local nursing home as an environment and then assume that 70% of mankind will be knocked-off.
I posted the link in a subsequent post that is below.

De Prado is saying the the 3.11% and 2.18% that you mentioned above are grossly overestimated because the number of confirmed infections are only a fraction of the actual infections. This has been the case historically as well with other diseases. He provides H1N1 as an example. The initial fatality rate was 5.1%. The real number is 0.02%.

In case you are not familiar with de Prado, below is his bio:

Prof. Marcos López de Prado is the CIO of True Positive Technologies (TPT), and Professor of Practice at Cornell University’s School of Engineering. He has over 20 years of experience developing investment strategies with the help of machine learning algorithms and supercomputers. Marcos launched TPT after he sold some of his patents to AQR Capital Management, where he was a principal and AQR’s first head of machine learning. TPT is currently engaged by clients with a combined AUM in excess of $1 trillion. Marcos also founded and led Guggenheim Partners’ Quantitative Investment Strategies business, where he managed up to $13 billion in assets, and delivered an audited risk-adjusted return (information ratio) of 2.3.

Concurrently with the management of investments, since 2011 Marcos has been a research fellow at Lawrence Berkeley National Laboratory (U.S. Department of Energy, Office of Science). He has published dozens of scientific articles on machine learning and supercomputing in the leading academic journals, is a founding co-editor of The Journal of Financial Data Science, has testified before the U.S. Congress on AI policy, and SSRN ranks him as the most-read author in economics. Marcos is the author of several graduate textbooks, including Advances in Financial Machine Learning (Wiley, 2018), and Machine Learning for Asset Managers (Cambridge University Press, 2020).

Marcos earned a PhD in financial economics (2003), a second PhD in mathematical finance (2011) from Universidad Complutense de Madrid, and is a recipient of Spain's National Award for Academic Excellence (1999). He completed his post-doctoral research at Harvard University and Cornell University, where he is a faculty member. Marcos has an Erdős #2 according to the American Mathematical Society, and in 2019, he received the ‘Quant of the Year Award’ from The Journal of Portfolio Management.

Below is a link to the paper:
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3579712
Below is the link to the paper:

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3579712

The Diamond Princess example is on page 14.

Here is the tweet that has the link:
 
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