We’ve been getting calls and outreach from Queens residents all day about this.
The community’s response? Outrage.
Amazon will divide its second headquarters evenly between New York's Long Island City and Arlington County's Crystal City neighborhoods. Other cities may also receive major sites. https://t.co/c1lKmeQinX
— The Wall Street Journal (@WSJ) November 13, 2018
- Has the company promised to hire in the existing community?
- What’s the quality of jobs + how many are promised? Are these jobs low-wage or high wage? Are there benefits? Can people collectively bargain?
Shuffling working class people out of a community does not improve their quality of life.
More from Politics
I think a plausible explanation is that whatever Corbyn says or does, his critics will denounce - no matter how much hypocrisy it necessitates.
Corbyn opposes the exploitation of foreign sweatshop-workers - Labour MPs complain he's like Nigel
He speaks up in defence of migrants - Labour MPs whinge that he's not listening to the public's very real concerns about immigration:
He's wrong to prioritise Labour Party members over the public:
He's wrong to prioritise the public over Labour Party
One of the oddest features of the Labour tax row is how raising allowances, which the media allowed the LDs to describe as progressive (in spite of evidence to contrary) through the coalition years, is now seen by everyone as very right wing
— Tom Clark (@prospect_clark) November 2, 2018
Corbyn opposes the exploitation of foreign sweatshop-workers - Labour MPs complain he's like Nigel
He speaks up in defence of migrants - Labour MPs whinge that he's not listening to the public's very real concerns about immigration:
He's wrong to prioritise Labour Party members over the public:
He's wrong to prioritise the public over Labour Party
My piece in the NY Times today: "the Trump administration is denying applications submitted to the United States Citizenship and Immigration Services at a rate 37 percent higher than the Obama administration did in 2016."
Based on this analysis: "Denials for immigration benefits—travel documents, work permits, green cards, worker petitions, etc.—increased 37 percent since FY 2016. On an absolute basis, FY 2018 will see more than about 155,000 more denials than FY 2016." https://t.co/Bl0naOO0sh
"This increase in denials cannot be credited to an overall rise in applications. In fact, the total number of applications so far this year is 2 percent lower than in 2016. It could be that the higher denial rate is also discouraging some people from applying at all.."
Thanks to @gsiskind for his insightful comments. The increase in denials, he said, is “significant enough to make one think that Congress must have passed legislation changing the requirements. But we know they have not.”
My conclusion:
Based on this analysis: "Denials for immigration benefits—travel documents, work permits, green cards, worker petitions, etc.—increased 37 percent since FY 2016. On an absolute basis, FY 2018 will see more than about 155,000 more denials than FY 2016." https://t.co/Bl0naOO0sh
"This increase in denials cannot be credited to an overall rise in applications. In fact, the total number of applications so far this year is 2 percent lower than in 2016. It could be that the higher denial rate is also discouraging some people from applying at all.."
Thanks to @gsiskind for his insightful comments. The increase in denials, he said, is “significant enough to make one think that Congress must have passed legislation changing the requirements. But we know they have not.”
My conclusion:
Here's why I bother to do the search, and even take the time to check.
This is part of a pattern that as detailed by Mueller, and has been proven by reputable studies since then. Here are parts of an Oxford report on the goals of the ongoing social media operations of Russia. https://t.co/qapD8Eh2SQ
https://t.co/nJPPOwF1MA
The full report can be found here.
https://t.co/1q525xWYZE
Excertps from the 2019 Senate Intelligence Committee Report on Russian Actove Measures Campaigns and Interference:
Also form the Senate Intelligence Committee report
This is part of a pattern that as detailed by Mueller, and has been proven by reputable studies since then. Here are parts of an Oxford report on the goals of the ongoing social media operations of Russia. https://t.co/qapD8Eh2SQ
Here's some from a search of your TL
— \U0001d679\U0001d698\U0001d691\U0001d697 \U0001d686\U0001d68e\U0001d69c\U0001d695\U0001d68e\U0001d6a2 (@thepalemoonlt) April 21, 2021
Uses of the word prison before today: 13.
Tweets for specifically suggesting abolishing prison prior to today: 1 on 06/03/2020
Mentions of prison and abolishing it today: 8
Of all the times to speak out, Why did you choose to now? https://t.co/kl7gx7ky2H
https://t.co/nJPPOwF1MA
The full report can be found here.
https://t.co/1q525xWYZE
Excertps from the 2019 Senate Intelligence Committee Report on Russian Actove Measures Campaigns and Interference:
Also form the Senate Intelligence Committee report
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#ArudraDarisanam
Unique Natarajar made of emerlad is abt 6 feet tall.
It is always covered with sandal paste.Only on Thriuvadhirai Star in month Margazhi-Nataraja can be worshipped without sandal paste.
After removing the sandal paste,day long rituals & various abhishekam will be https://t.co/e1Ye8DrNWb day Maragatha Nataraja sannandhi will be closed after anointing the murthi with fresh sandal paste.Maragatha Natarajar is covered with sandal paste throughout the year
as Emerald has scientific property of its molecules getting disturbed when exposed to light/water/sound.This is an ancient Shiva temple considered to be 3000 years old -believed to be where Bhagwan Shiva gave Veda gyaana to Parvati Devi.This temple has some stunning sculptures.
#ArudraDarisanam
Unique Natarajar made of emerlad is abt 6 feet tall.
It is always covered with sandal paste.Only on Thriuvadhirai Star in month Margazhi-Nataraja can be worshipped without sandal paste.
After removing the sandal paste,day long rituals & various abhishekam will be https://t.co/e1Ye8DrNWb day Maragatha Nataraja sannandhi will be closed after anointing the murthi with fresh sandal paste.Maragatha Natarajar is covered with sandal paste throughout the year
as Emerald has scientific property of its molecules getting disturbed when exposed to light/water/sound.This is an ancient Shiva temple considered to be 3000 years old -believed to be where Bhagwan Shiva gave Veda gyaana to Parvati Devi.This temple has some stunning sculptures.
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 :
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# 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.
