
The #ICC said it can’t assert jurisdiction over China’s repression in #Xinjiang. https://t.co/kw2AQy9Qin
But facts are facts: China’s gov't has committed serious rights violations against the #Uyghurs on a 🚨massive 🚨scale.
A 🧵on @hrw findings so far & next steps.


💠forced political indoctrination
💠collective punishment
💠restrictions on movement and communications
💠heightened religious restrictions
💠mass surveillance
/3

Chinese authorities have kept countless children - whose parents are detained or in exile - in state-run child welfare institutions & boarding schools w/out parental consent or ⛔️access. More here: https://t.co/vVT6Xk4U7Y
/4

https://t.co/C8xouSEHD4
/5

https://t.co/OAZa8q2pjx
/6

https://t.co/ZEkhjCYP2g
/7
/8

https://t.co/6Owtq4fdmC
/9

A UN🇺🇳member state-backed investigation would make the Chinese govt's equivocation a lot harder.

👇👇👇👇👇👇👇👇👇
Though the task is great, none of us are free to desist from it. As Nelson Mandela himself said: “It always seems impossible until it’s done.”
https://t.co/8BSNlG7Fre

More from World
1/10 With respect, multiple straw men here:
A) If you mean by "legally questionable" either that Senate is barred by constitution from trying an official impeached while in office, or that there are even very strong arguments against it, I have to differ...
2/10 Constitutional structure, precedent & any fair reading of original intent dictate that argument for jurisdiction is far stronger than argument against. On original intent, see
3/10 If you mean argument against jurisdiction is plausible, sure, it's plausible. It's just weak. In practical fact, Senate can try Trump now, find him guilty & disqualify him from future office if there are sufficient votes. And no court would presume to overturn that result
4/10 b) The argument from resources is awfully hard to take seriously. Fewer than a dozen House members act as Managers for a few weeks. They are staffed, as are Senators hearing case, by folks whose job it is to do stuff like this...
5/10 Yes, Senate floor time will be taken up. But it's past time for us to stop thinking of members of either house as feeble, fluttering, occupants of a nationally-funded convalescent home. There are nearly 500 of these people with 1000s of staff and a bunch of big buildings...
A) If you mean by "legally questionable" either that Senate is barred by constitution from trying an official impeached while in office, or that there are even very strong arguments against it, I have to differ...
Some argue that if the Senate declines to hold a legally questionable, resource-sucking trial, Trump would be getting a free pass. That assumes criminal authorities do nothing and citizens can't be trusted to evaluate. Censure and focus important work?
— Ross Garber (@rossgarber) January 22, 2021
2/10 Constitutional structure, precedent & any fair reading of original intent dictate that argument for jurisdiction is far stronger than argument against. On original intent, see
3/10 If you mean argument against jurisdiction is plausible, sure, it's plausible. It's just weak. In practical fact, Senate can try Trump now, find him guilty & disqualify him from future office if there are sufficient votes. And no court would presume to overturn that result
4/10 b) The argument from resources is awfully hard to take seriously. Fewer than a dozen House members act as Managers for a few weeks. They are staffed, as are Senators hearing case, by folks whose job it is to do stuff like this...
5/10 Yes, Senate floor time will be taken up. But it's past time for us to stop thinking of members of either house as feeble, fluttering, occupants of a nationally-funded convalescent home. There are nearly 500 of these people with 1000s of staff and a bunch of big buildings...
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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.
