So far...
More from For later read
1. A little DRASTIC Project you may be able to help with?
We want to collate all references to DRASTIC in academic papers & media articles
Here are a few:
medium article by @emmecola
thorough report by @netpoette
@ColinDavdButler 's Paper
Please add any links to this thread. Tks!
2. More References
Papers by @MonaRahalkar and @BahulikarRahul
Papers by @Rossana38510044 and @ydeigin
Medium articles & papers by
@gdemaneuf & @Rdemaistre
Papers by @flavinkins (Daoyu Zhang)
Papers by "Anon" & "interneperson"
French News - le Monde
Can anyone remember any more?
3. More References
Papers & Blog Posts by @Harvard2H (Sirotkin & Sirotkin)
260 Questions for WHO collated by @billybostickson
If you find mentions of our individual names or "DRASTIC" in Papers or News, please forward here to this thread as links or screenshots.
Histoire du COVID-19 – chapitre 6 - Partie 2 : Pourquoi le séquençage complet du virus RaTG13 n'a pas été communiqué par Shi Zheng Li avant février 2020 ? https://t.co/MYEZZSAzaE
SARS-CoV-2: lab-origin hypothesis gains traction
BY ANNETTE GARTLAND ON OCTOBER 12, 2020
https://t.co/sPs1y8Herg
We want to collate all references to DRASTIC in academic papers & media articles
Here are a few:
medium article by @emmecola
thorough report by @netpoette
@ColinDavdButler 's Paper
Please add any links to this thread. Tks!

2. More References
Papers by @MonaRahalkar and @BahulikarRahul
Papers by @Rossana38510044 and @ydeigin
Medium articles & papers by
@gdemaneuf & @Rdemaistre
Papers by @flavinkins (Daoyu Zhang)
Papers by "Anon" & "interneperson"
French News - le Monde
Can anyone remember any more?
3. More References
Papers & Blog Posts by @Harvard2H (Sirotkin & Sirotkin)
260 Questions for WHO collated by @billybostickson
If you find mentions of our individual names or "DRASTIC" in Papers or News, please forward here to this thread as links or screenshots.
Histoire du COVID-19 – chapitre 6 - Partie 2 : Pourquoi le séquençage complet du virus RaTG13 n'a pas été communiqué par Shi Zheng Li avant février 2020 ? https://t.co/MYEZZSAzaE

SARS-CoV-2: lab-origin hypothesis gains traction
BY ANNETTE GARTLAND ON OCTOBER 12, 2020
https://t.co/sPs1y8Herg

1. The death of Silicon Valley, a thread
How did Silicon Valley die? It was killed by the internet. I will explain.
Yesterday, my friend IRL asked me "Where are good old days when techies were
2. In the "good old days" Silicon Valley was about understanding technology. Silicon, to be precise. These were people who had to understand quantum mechanics, who had to build the near-miraculous devices that we now take for granted, and they had to work
3. Now, I love libertarians, and I share much of their political philosophy. But you have to be socially naive to believe that it has a chance in a real society. In those days, Silicon Valley was not a real society. It was populated by people who understood quantum mechanics
4. Then came the microcomputer revolution. It was created by people who understood how to build computers. One borderline case was Steve Jobs. People claimed that Jobs was surrounded by a "reality distortion field" - that's how good he was at understanding people, not things
5. Still, the heroes of Silicon Valley were the engineers. The people who knew how to build things. Steve Jobs, for all his understanding of people, also had quite a good understanding of technology. He had a libertarian vibe, and so did Silicon Valley
How did Silicon Valley die? It was killed by the internet. I will explain.
Yesterday, my friend IRL asked me "Where are good old days when techies were
Where are good old days when techies were libertarians.
— Cranky (@rushingdima) January 9, 2021
2. In the "good old days" Silicon Valley was about understanding technology. Silicon, to be precise. These were people who had to understand quantum mechanics, who had to build the near-miraculous devices that we now take for granted, and they had to work
3. Now, I love libertarians, and I share much of their political philosophy. But you have to be socially naive to believe that it has a chance in a real society. In those days, Silicon Valley was not a real society. It was populated by people who understood quantum mechanics
4. Then came the microcomputer revolution. It was created by people who understood how to build computers. One borderline case was Steve Jobs. People claimed that Jobs was surrounded by a "reality distortion field" - that's how good he was at understanding people, not things
5. Still, the heroes of Silicon Valley were the engineers. The people who knew how to build things. Steve Jobs, for all his understanding of people, also had quite a good understanding of technology. He had a libertarian vibe, and so did Silicon Valley
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Nano Course On Python For Trading
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV
This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!
In Module 1 of this Nano course, we will learn about :
# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)
# Using Google Colab
Intro link is here on YT: https://t.co/MqMSDBaQri
Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want
# Importing Libraries
Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
==========================
Module 1
Python makes it very easy to analyze and visualize time series data when you’re a beginner. It's easier when you don't have to install python on your PC (that's why it's a nano course, you'll learn python...
... on the go). You will not be required to install python in your PC but you will be using an amazing python editor, Google Colab Visit https://t.co/EZt0agsdlV
This course is for anyone out there who is confused, frustrated, and just wants this python/finance thing to work!
In Module 1 of this Nano course, we will learn about :
# Using Google Colab
# Importing libraries
# Making a Random Time Series of Black Field Research Stock (fictional)
# Using Google Colab
Intro link is here on YT: https://t.co/MqMSDBaQri
Create a new Notebook at https://t.co/EZt0agsdlV and name it AnythingOfYourChoice.ipynb
You got your notebook ready and now the game is on!
You can add code in these cells and add as many cells as you want
# Importing Libraries
Imports are pretty standard, with a few exceptions.
For the most part, you can import your libraries by running the import.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
