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One of the most fascinating revelations from the Snowden documents was the story of "fourth party collection," which is when the NSA hacks the spy agency of a friendly nation to suck up all the spy data it has amassed on its own people.
https://t.co/8WZ6WJigjU
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https://t.co/dlueiQsDbK
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https://t.co/ne0Oyiri90
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More from Cory Doctorow #BLM
* 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;
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* 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
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* 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.
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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.
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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
Inside: Planet Money on HP's myriad ripoffs; Strength in numbers; and more!
Archived at: https://t.co/esjoT3u5Gr
#Pluralistic
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On Feb 22, I'm delivering a keynote address for the NISO Plus conference, "The day of the comet: what trustbusting means for digital manipulation."
https://t.co/Z84xicXhGg
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Planet Money on HP's myriad ripoffs: Ink-stained wretches of the world, unite!
https://t.co/k5ASdVUrC2
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Back in November, I published an article for @EFF about @HP's latest printer-ink ripoff: after offering its customers a free-ink-for-life plan, it unilaterally switched them all to a $1/month-for-life plan.https://t.co/bsc73xPSuo
— Cory Doctorow #BLM (@doctorow) February 18, 2021
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Strength in numbers: The crisis in accounting.
https://t.co/DjfAfHWpNN
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Accountancy is more likely to be mocked than celebrated (or condemned), but accountants, far more than poets, are the unacknowledged legislators of the world.
— Cory Doctorow #BLM (@doctorow) February 18, 2021
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#15yrsago Bad Samaritan family won’t return found expensive camera https://t.co/Rn9E5R1gtV
#10yrsago What does Libyan revolution mean for https://t.co/Jz28qHVhrV? https://t.co/dN1e4MxU4r
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More from Society
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Why is this the most powerful question you can ask when attempting to reach an agreement with another human being or organization?
A thread, co-written by @deanmbrody:
Next level tactic when closing a sale, candidate, or investment:
— Erik Torenberg (@eriktorenberg) February 27, 2018
Ask: \u201cWhat needs to be true for you to be all in?\u201d
You'll usually get an explicit answer that you might not get otherwise. It also holds them accountable once the thing they need becomes true.
2/ First, “X” could be lots of things. Examples: What would need to be true for you to
- “Feel it's in our best interest for me to be CMO"
- “Feel that we’re in a good place as a company”
- “Feel that we’re on the same page”
- “Feel that we both got what we wanted from this deal
3/ Normally, we aren’t that direct. Example from startup/VC land:
Founders leave VC meetings thinking that every VC will invest, but they rarely do.
Worse over, the founders don’t know what they need to do in order to be fundable.
4/ So why should you ask the magic Q?
To get clarity.
You want to know where you stand, and what it takes to get what you want in a way that also gets them what they want.
It also holds them (mentally) accountable once the thing they need becomes true.
5/ Staying in the context of soliciting investors, the question is “what would need to be true for you to want to invest (or partner with us on this journey, etc)?”
Multiple responses to this question are likely to deliver a positive result.
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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.