This was before I "met" someone who actually knew what was going on but I was close. I am only pouring all of this out in one day and not slowly because I have been compromised by K8. A friend who wasn't.

More from For later read
@Daoyu15 @lab_leak @walkaboutrick @ydeigin @Ayjchan @franciscodeasis @TheSeeker268 @angie_rasmussen
28. Before moving on to DARPA, let's look at DTRA:
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) July 31, 2020
A must read!
It is astonishing the number of pies they had their dirty little fingers poking into:
Note John Epstein and Kevin Olival from EcoHealth Alliance are key figures in DTRA:https://t.co/O4QwVWrm7m pic.twitter.com/cnNGZ7AApj
@Daoyu15 @lab_leak @walkaboutrick @ydeigin @Ayjchan @franciscodeasis @TheSeeker268 @angie_rasmussen
24. DTRA Network for Collection of Viruses
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) January 9, 2021
7. DTRA - Metabiota - One Health - Ecohealth
Bat Research Networks and Viral Surveillance: Gaps and Opportunities in Western Asia pic.twitter.com/SOqSSXF3pa
@Daoyu15 @lab_leak @walkaboutrick @ydeigin @Ayjchan @franciscodeasis @TheSeeker268 @angie_rasmussen
That is the key question
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) January 5, 2021
1. DARPA/DTRA use NGOs like Ecohealth or Metabiota to collect new pathogens
2. They are sent to US labs (Mailman, Rocky Mountain, Atlanta CDC, UNC, USAMRIID) for GOF work by Lipkin, Nichols, Rasmussen, Baric, Dension, Munster, etchttps://t.co/wqhHK7uZO6
@Daoyu15 @lab_leak @walkaboutrick @ydeigin @Ayjchan @franciscodeasis @TheSeeker268 @angie_rasmussen
1. I wonder why Dr. Angela Rasmussen is so so upset & full of almost palpable venom about a Hypothesis and a "What if" question by @nicholsonbaker8 in the @NYMag https://t.co/a6lxtJLpKR
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) January 5, 2021
Did I hear someone say "DARPA"?
Did I hear someone say "DTRA"?https://t.co/i27mpxJDw2 pic.twitter.com/x4X3QPnTMS
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==========================
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.
