Esiste un collegamento diretto con Belgrado, in Serbia, e ci sono, o c'erano, numerosi dipendenti Dominion in Serbia. Sempre in Serbia esiste la Open Society Foundation, proprieta' di Soros, che appartiene ad una delle 1/2
➡️Found IP address in the Dominion Server,kidnapped in Frankfurt,2020 US elections manipulating actors:
👉Belgrade,Serbia(OSF/Soros)
👉Iran(Edison/BMA)
👉HSBC Bank,Canada(Eric Coomer)
👉DVSCORP(UNICOM China)
👉CTCL(Mark Zuckemberg)
👉Indivisible .org(ACORN,OBAMA Political Group)
Esiste un collegamento diretto con Belgrado, in Serbia, e ci sono, o c'erano, numerosi dipendenti Dominion in Serbia. Sempre in Serbia esiste la Open Society Foundation, proprieta' di Soros, che appartiene ad una delle 1/2
I clienti di Edison Research includono Activision,Amazon,AMC Theatres, Apple,Disney,Dolby Laboratories, Facebook,Google,Oracle,The US 2/4
società avesse notato queste o altre anomalie nei dati di voto, il presidente di Edison Research 👉Larry Rosin ha 3/4
https://t.co/Iz3tjq37ZR
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There are lots of problems with ad-tech:
* being spied on all the time means that the people of the 21st century are less able to be their authentic selves;
* any data that is collected and retained will eventually breach, creating untold harms;
1/
* data-collection enables for discriminatory business practices ("digital redlining");
* the huge, tangled hairball of adtech companies siphons lots (maybe even most) of the money that should go creators and media orgs; and
2/
* anti-adblock demands browsers and devices that thwart their owners' wishes, a capability that can be exploited for even more nefarious purposes;
That's all terrible, but it's also IRONIC, since it appears that, in addition to everything else, ad-tech is a fraud, a bezzle.
3/
Bezzle was John Kenneth Galbraith's term for "the magic interval when a confidence trickster knows he has the money he has appropriated but the victim does not yet understand that he has lost it." That is, a rotten log that has yet to be turned over.
4/
Bezzles unwind slowly, then all at once. We've had some important peeks under ad-tech's rotten log, and they're increasing in both intensity and velocity. If you follow @Chronotope, you've had a front-row seat to the
* being spied on all the time means that the people of the 21st century are less able to be their authentic selves;
* any data that is collected and retained will eventually breach, creating untold harms;
1/
* data-collection enables for discriminatory business practices ("digital redlining");
* the huge, tangled hairball of adtech companies siphons lots (maybe even most) of the money that should go creators and media orgs; and
2/
* anti-adblock demands browsers and devices that thwart their owners' wishes, a capability that can be exploited for even more nefarious purposes;
That's all terrible, but it's also IRONIC, since it appears that, in addition to everything else, ad-tech is a fraud, a bezzle.
3/
Bezzle was John Kenneth Galbraith's term for "the magic interval when a confidence trickster knows he has the money he has appropriated but the victim does not yet understand that he has lost it." That is, a rotten log that has yet to be turned over.
4/
Bezzles unwind slowly, then all at once. We've had some important peeks under ad-tech's rotten log, and they're increasing in both intensity and velocity. If you follow @Chronotope, you've had a front-row seat to the
The numbers are all fking fake, the metrics are bullshit, the agencies responsible for enforcing good practices are knowing bullshiters enforcing and profiting off all the fake numbers and none of the models make sense at scale of actual human users. https://t.co/sfmdrxGBNJ pic.twitter.com/thvicDEL29
— Aram Zucker-Scharff (@Chronotope) December 26, 2018
We’ve spent the last ten months building #CitizenBrowser, a project that aims to peek inside the Black Box of social media algorithms, by building a nationwide panel to share data with us. Today, we are publishing our first story from the project. /1
.@corintxt crunched the numbers and found that after Facebook flipped the switch for political ads, partisan content elbowed out reputable news outlets in our panelists’ news feeds. https://t.co/Z0kibSBeQZ /2
You can learn more in our methodology, where we describe how we did this and what steps we took to ensure that we preserved the panelists' privacy. https://t.co/UYbTXAjy5i /3
Personally, this project is the culmination of years of experiments trying to figure out how to collect data from social media platforms in a way that can lead to meaningful reporting. I’ve described a couple of highlights below 👇 /4
My first attempt was in 2016 at Propublica, when I was working with @JuliaAngwin . We were interested in seeing if there was a difference in the Ad interests FB disclosed to users in their settings and the interests they showed to marketers. /5
.@corintxt crunched the numbers and found that after Facebook flipped the switch for political ads, partisan content elbowed out reputable news outlets in our panelists’ news feeds. https://t.co/Z0kibSBeQZ /2
You can learn more in our methodology, where we describe how we did this and what steps we took to ensure that we preserved the panelists' privacy. https://t.co/UYbTXAjy5i /3
Personally, this project is the culmination of years of experiments trying to figure out how to collect data from social media platforms in a way that can lead to meaningful reporting. I’ve described a couple of highlights below 👇 /4
My first attempt was in 2016 at Propublica, when I was working with @JuliaAngwin . We were interested in seeing if there was a difference in the Ad interests FB disclosed to users in their settings and the interests they showed to marketers. /5
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Joshua Hawley, Missouri's Junior Senator, is an autocrat in waiting.
His arrogance and ambition prohibit any allegiance to morality or character.
Thus far, his plan to seize the presidency has fallen into place.
An explanation in photographs.
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Joshua grew up in the next town over from mine, in Lexington, Missouri. A a teenager he wrote a column for the local paper, where he perfected his political condescension.
2/
By the time he reached high-school, however, he attended an elite private high-school 60 miles away in Kansas City.
This is a piece of his history he works to erase as he builds up his counterfeit image as a rural farm boy from a small town who grew up farming.
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After graduating from Rockhurst High School, he attended Stanford University where he wrote for the Stanford Review--a libertarian publication founded by Peter Thiel..
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(Full Link: https://t.co/zixs1HazLk)
Hawley's writing during his early 20s reveals that he wished for the curriculum at Stanford and other "liberal institutions" to change and to incorporate more conservative moral values.
This led him to create the "Freedom Forum."
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Thus far, his plan to seize the presidency has fallen into place.
An explanation in photographs.
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2/
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3/
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4/
(Full Link: https://t.co/zixs1HazLk)
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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.
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