Over the last 72 hours, a wave of silence crashed over Donald Trump and MAGA, Qanon psyops. One day I hope to know the story of how this happened. Would not have been so sudden and neat all at once had there not been intimate and urgent contact between feds and tech companies.
More from Trump
Today's Twitter threads (a Twitter thread).
Inside: Stop saying "it's not censorship if it's not the government"; Trump's swamp gators find corporate refuge; and more!
Archived at: https://t.co/7JMcAbaULj
#Pluralistic
1/
Monday night, I'll be helping William Gibson launch the paperback edition of his novel AGENCY at a Strand Bookstore videoconference. Come say hi!
https://t.co/k3fvBdqOK0
2/
Stop saying "it's not censorship if it's not the government": I didn't expect the Spanish Inquisition.
https://t.co/7I0MpCTez5
3/
Trump's swamp gators find corporate refuge: The Swamped project.
https://t.co/MUJyIOr2iw
4/
#15yrsago A-Hole bill would make a secret technology into the law of the land https://t.co/57bJaM1Byr
#15yrsago Hollywood’s MP loses the election — hit the road, Sam! https://t.co/12ssYpV46B
#15yrsago How William Gibson discovered science fiction https://t.co/MYR0go37nW
5/
Inside: Stop saying "it's not censorship if it's not the government"; Trump's swamp gators find corporate refuge; and more!
Archived at: https://t.co/7JMcAbaULj
#Pluralistic
1/
Monday night, I'll be helping William Gibson launch the paperback edition of his novel AGENCY at a Strand Bookstore videoconference. Come say hi!
https://t.co/k3fvBdqOK0
2/
Stop saying "it's not censorship if it's not the government": I didn't expect the Spanish Inquisition.
https://t.co/7I0MpCTez5
3/
If you think "It's not censorship unless the government does it," I want to change your mind.
— Cory Doctorow #BLM (@doctorow) January 24, 2021
It's absolutely true that the First Amendment only prohibits government action to suppress speech based on its content, but the First Amendment is not the last word on censorship.
1/ pic.twitter.com/ycbLLDhtrd
Trump's swamp gators find corporate refuge: The Swamped project.
https://t.co/MUJyIOr2iw
4/
Have you seen the stories about how Trump administration officials and staffers for Ted Cruz are finding that no one in the private sector will hire them because they are forever tainted by their former bosses' disgraceful behavior?
— Cory Doctorow #BLM (@doctorow) January 24, 2021
They're bullshit.https://t.co/XvYDPpR9yd
1/ pic.twitter.com/VxisK4d8jV
#15yrsago A-Hole bill would make a secret technology into the law of the land https://t.co/57bJaM1Byr
#15yrsago Hollywood’s MP loses the election — hit the road, Sam! https://t.co/12ssYpV46B
#15yrsago How William Gibson discovered science fiction https://t.co/MYR0go37nW
5/
Agree. Also Bannon suggesting that Fauci shld be beheaded & Lyn Wood calling for Pence’s execution. These are Trump’s close advisors. Did Trump ever publicly disavow?
Very good that Rep Raskin is showing the long, consistent history of Trump instigating violence. This context is necessary. They should extend documentation to Trump's advisors -- like Roger Stone calling for a "bloodbath" since 2016 if Trump loses an election #ImpeachmentTrial
— Sarah Kendzior (@sarahkendzior) February 11, 2021
You May Also Like
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.
1/ Some initial thoughts on personal moats:
Like company moats, your personal moat should be a competitive advantage that is not only durable—it should also compound over time.
Characteristics of a personal moat below:
2/ Like a company moat, you want to build career capital while you sleep.
As Andrew Chen noted:
3/ You don’t want to build a competitive advantage that is fleeting or that will get commoditized
Things that might get commoditized over time (some longer than
4/ Before the arrival of recorded music, what used to be scarce was the actual music itself — required an in-person artist.
After recorded music, the music itself became abundant and what became scarce was curation, distribution, and self space.
5/ Similarly, in careers, what used to be (more) scarce were things like ideas, money, and exclusive relationships.
In the internet economy, what has become scarce are things like specific knowledge, rare & valuable skills, and great reputations.
Like company moats, your personal moat should be a competitive advantage that is not only durable—it should also compound over time.
Characteristics of a personal moat below:
I'm increasingly interested in the idea of "personal moats" in the context of careers.
— Erik Torenberg (@eriktorenberg) November 22, 2018
Moats should be:
- Hard to learn and hard to do (but perhaps easier for you)
- Skills that are rare and valuable
- Legible
- Compounding over time
- Unique to your own talents & interests https://t.co/bB3k1YcH5b
2/ Like a company moat, you want to build career capital while you sleep.
As Andrew Chen noted:
People talk about \u201cpassive income\u201d a lot but not about \u201cpassive social capital\u201d or \u201cpassive networking\u201d or \u201cpassive knowledge gaining\u201d but that\u2019s what you can architect if you have a thing and it grows over time without intensive constant effort to sustain it
— Andrew Chen (@andrewchen) November 22, 2018
3/ You don’t want to build a competitive advantage that is fleeting or that will get commoditized
Things that might get commoditized over time (some longer than
Things that look like moats but likely aren\u2019t or may fade:
— Erik Torenberg (@eriktorenberg) November 22, 2018
- Proprietary networks
- Being something other than one of the best at any tournament style-game
- Many "awards"
- Twitter followers or general reach without "respect"
- Anything that depends on information asymmetry https://t.co/abjxesVIh9
4/ Before the arrival of recorded music, what used to be scarce was the actual music itself — required an in-person artist.
After recorded music, the music itself became abundant and what became scarce was curation, distribution, and self space.
5/ Similarly, in careers, what used to be (more) scarce were things like ideas, money, and exclusive relationships.
In the internet economy, what has become scarce are things like specific knowledge, rare & valuable skills, and great reputations.