2.
Transgenderism resembles a mass psychogenic illness that has spread thanks to the internet. If there were no Tumblr identity fluidity nonsense, and if Reddit and YouTube had never existed, most “trans” people would not have landed on “gender” as the source of their ills.
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
https://t.co/sqMHDUjvJg
More from Internet
Are you a web developer or a designer?
These websites will help you create professional mockups for your applications:
🧵👇🏻
1. Shot Snap:
Create beautiful device mockup images for your app or website
2. Smart Mockups:
Create stunning product mockups (free & premium)
https://t.co/1RmIQhAreS
3. Screely:
Instantly turn your screenshot into a mockup
https://t.co/riAzf7CioH
4. Screenshot .rocks:
Create beautiful browser & mobile mockups in seconds.
https://t.co/EpxLukHg8T
These websites will help you create professional mockups for your applications:
🧵👇🏻
1. Shot Snap:
Create beautiful device mockup images for your app or website
2. Smart Mockups:
Create stunning product mockups (free & premium)
https://t.co/1RmIQhAreS
3. Screely:
Instantly turn your screenshot into a mockup
https://t.co/riAzf7CioH
4. Screenshot .rocks:
Create beautiful browser & mobile mockups in seconds.
https://t.co/EpxLukHg8T
Many conversations happening on #WhatsApp (WA) groups about new #WhatsAppPrivacyPolicy .
This thread has arguments to help ditch WA & move to @signalapp:
https://t.co/En4fe9VxUN
Share, use, copy-paste, modify with understanding as you deem fit on any platform in whole or part
1/n
Note: No affiliations, conflict of interest
Info presented with NO bias, prejudice, malice or indemnity.
Open to corrections: individual tweets may be deleted, tweets added to thread or corrected as replies.
Points that are unclear or uncertain are marked with "(?)".
2/n
CONTENT OF WA MESSAGES SHALL REMAIN ENCRYPTED END TO END.
BUT, there's data: contacts, group affiliations, co-affiliations, locations (live?), frequency of contacts, *tags* generated when we send or forward a message or file to contacts or groups, links, clicks on links, etc.
3/n
It is unclear whether this data is anonymized.
NOTHING in latest policy *prevents* the collection, retention, sharing or sale by FaceBook (FB: owner of WA) of this data in part or whole whether with identifying information or anonymized.
Meme source:
https://t.co/nMDTUlb0rl
4/n
Companies need to make money & generate profits:
To create software, install & maintain infrastructure.
Google, FB, Insta, Amazon etc sell data created from our content & data generated from our interactions (searches, clicks, purchases etc).
This makes many uncomfortable.
5/n
This thread has arguments to help ditch WA & move to @signalapp:
https://t.co/En4fe9VxUN
Share, use, copy-paste, modify with understanding as you deem fit on any platform in whole or part
1/n
Note: No affiliations, conflict of interest
Info presented with NO bias, prejudice, malice or indemnity.
Open to corrections: individual tweets may be deleted, tweets added to thread or corrected as replies.
Points that are unclear or uncertain are marked with "(?)".
2/n
CONTENT OF WA MESSAGES SHALL REMAIN ENCRYPTED END TO END.
BUT, there's data: contacts, group affiliations, co-affiliations, locations (live?), frequency of contacts, *tags* generated when we send or forward a message or file to contacts or groups, links, clicks on links, etc.
3/n
It is unclear whether this data is anonymized.
NOTHING in latest policy *prevents* the collection, retention, sharing or sale by FaceBook (FB: owner of WA) of this data in part or whole whether with identifying information or anonymized.
Meme source:
https://t.co/nMDTUlb0rl
4/n
Now that #WhatsApp have updated their terms, forcing users to share their data with #Facebook, here's our suggested update to that notification you see at the top of your chats.#WhatsappNewPolicy #WhatsappPrivacy pic.twitter.com/FjxFGBm6Q8
— Privacy International (@privacyint) January 7, 2021
Companies need to make money & generate profits:
To create software, install & maintain infrastructure.
Google, FB, Insta, Amazon etc sell data created from our content & data generated from our interactions (searches, clicks, purchases etc).
This makes many uncomfortable.
5/n
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.
Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.