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I'll bite, Mr. Gray. We can even play by your rather finicky rules.
Let's begin with some of the things you have said about Xinjiang, notably absent from your more recent media appearances, but still present in your blog about your 2014 biking trip.
The following is taken from an ongoing list I keep of people who have been to Xinjiang and written/spoken about their experiences. It is separate from the testimony of detainees and their relatives I also keep. Jerry is on this
Jerry, your article for CGTN, as well as your various Medium pieces, belabor themselves to emphasize the smoothness of your time in Xinjiang. Why did you leave out so many details from your log of your 2014 trip? They seem relevant.
For example, would CGTN not let you speak about Shanshan, the town that evidently disturbed you so much?
Why, pray tell, after noting how kind and hospitable Xinjiang police were to you in 2019 for CGTN—and how you were never told where you could or could not go—would you omit these details?
Let's begin with some of the things you have said about Xinjiang, notably absent from your more recent media appearances, but still present in your blog about your 2014 biking trip.
Prove it...
— Jerry's China (@Jerry_grey2002) December 30, 2020
Without quoting Adrian Zenz who's never been there or exiles and criminals who seek asylum or cash for their stories or perhaps some satellite images of shopping centres and factories with fencelines.
You can't show any evidence that this is true https://t.co/wiozJIjusH
The following is taken from an ongoing list I keep of people who have been to Xinjiang and written/spoken about their experiences. It is separate from the testimony of detainees and their relatives I also keep. Jerry is on this
Jerry, your article for CGTN, as well as your various Medium pieces, belabor themselves to emphasize the smoothness of your time in Xinjiang. Why did you leave out so many details from your log of your 2014 trip? They seem relevant.
For example, would CGTN not let you speak about Shanshan, the town that evidently disturbed you so much?
Why, pray tell, after noting how kind and hospitable Xinjiang police were to you in 2019 for CGTN—and how you were never told where you could or could not go—would you omit these details?
Good question: what proofs has BDA provided of his authenticity?
Let's go through some of them.
- BDA predicted the Saudis would assassinate Suleimani. They did.
- He said the dog that got Badghadi's arm deserved a Medal Of Honor. The next day the President posted a joke image showing him giving the dog a MoH.
- He said one of his ops in Syria would severely disrupt a CIA drug trafficking operation. This was proved true within a few days:
https://t.co/Hranupwcxj
- He sent gold to Brazil to help pay for an anti-trafficking operation there. That op became public soon afterwards.
- On May 31 this year, he predicted the President would be giving a speech the next day. June 1, the President gives a surprise address at the Rose Garden.
- He predicted the US would be making diplomatic moves on Greenland. True.
- He said the US would be pulling all troops out of Afghanistan. This was confirmed within the month.
- He claimed earthquakes would be hitting Iran's nuclear facilities in December. Yep.
- There were FOUR facilities hit, not the three made public. Also true.
Let's go through some of them.
Do you really believe this? And you believe BDA is a time traveler too? You say BDA has accurately predicted things. Please point me to the proof. I have not seen any proof so far.
— I am Justice. God's Kingdom is coming. Wake up. (@GlynAlyn) October 13, 2020
- BDA predicted the Saudis would assassinate Suleimani. They did.
- He said the dog that got Badghadi's arm deserved a Medal Of Honor. The next day the President posted a joke image showing him giving the dog a MoH.
- He said one of his ops in Syria would severely disrupt a CIA drug trafficking operation. This was proved true within a few days:
https://t.co/Hranupwcxj
- He sent gold to Brazil to help pay for an anti-trafficking operation there. That op became public soon afterwards.
- On May 31 this year, he predicted the President would be giving a speech the next day. June 1, the President gives a surprise address at the Rose Garden.
- He predicted the US would be making diplomatic moves on Greenland. True.
- He said the US would be pulling all troops out of Afghanistan. This was confirmed within the month.
- He claimed earthquakes would be hitting Iran's nuclear facilities in December. Yep.
- There were FOUR facilities hit, not the three made public. Also true.
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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.