https://t.co/UCvUCT9rru
The stunning announcement of >$6B in philanthropic donations in one year by @mackenziescott deserves wider
https://t.co/UCvUCT9rru
Important first to put the $6B total in context. Total grantmaking in 2019 by @darrenwalker at the @FordFoundation was ~$350M. Total at @Hewlett_Found was ~$450M.
So @mackenziescott is ~15x some of the largest and most discussed foundations.
No address. No website. No known staff. We don't even know much about the entities she's using -- DAFs, LLCs, private foundation?
https://t.co/y4kLry4XOT
*Proves it's not that difficult to give away a billion dollars.
*No strings attached giving - all general operating support over multiple years
*No reporting requirements, AFAIK
Her preferences, and hers alone, determine a flow of $6b into American civil society.
Despite the astonishing ~6B in giving, she's almost certainly far wealthier at the end of 2020 than she was at the start. Amazon stock's value has soared.
Contrary to popular opinion, philanthropy is not the exercise of liberty to give away your own money. It's a tax-subsidized exercise of liberty.
Here's the latest: https://t.co/tQ0aYrq59z
"Doctors say they've received calls from their well-off clients asking if they can have early access to the extremely limited supply of vaccine doses in exchange for a financial contribution to a hospital or charity."
— Anand Giridharadas (@AnandWrites) December 21, 2020
How noble, these donors. https://t.co/DLnjm8UY56
People to follow: @Philanthropy @InsidePhilanthr @AnandWrites @nkulish @SSIReview @HistPhil @Philliteracy @p2173
More from Society
Hi @officestudents @EHRC @EHRCChair @KishwerFalkner @RJHilsenrath @trussliz @GEOgovuk
The Equality and Diversity section of your job application has 'gender' in what appears to be a list of the protected characteristics under the Equality Act 2010.
However...
1/15
However, 'gender' is not a protected characteristic under the Equality Act 2010 and is not defined in the Act.
https://t.co/qisFhCiV1u
Sex is the protected characteristic under the Act, but that is not on your list.
2/15
You then ask for the 'gender' of the applicant with options:
Male
Female.
3/15
Again, 'gender' is not a protected characteristic under the Equality Act 2010 and is not defined in the Act.
https://t.co/qisFhCiV1u
4/15
Sex is the protected characteristic and the only two possible options for sex are 'Female' and 'Male' as defined in the Act and consistent with biology, but you don't ask for that.
https://t.co/CEJ0gkr6nF
'Gender' is not a synonym for sex.
5/15
The Equality and Diversity section of your job application has 'gender' in what appears to be a list of the protected characteristics under the Equality Act 2010.
However...
1/15
However, 'gender' is not a protected characteristic under the Equality Act 2010 and is not defined in the Act.
https://t.co/qisFhCiV1u
Sex is the protected characteristic under the Act, but that is not on your list.
2/15
You then ask for the 'gender' of the applicant with options:
Male
Female.
3/15
Again, 'gender' is not a protected characteristic under the Equality Act 2010 and is not defined in the Act.
https://t.co/qisFhCiV1u
4/15
Sex is the protected characteristic and the only two possible options for sex are 'Female' and 'Male' as defined in the Act and consistent with biology, but you don't ask for that.
https://t.co/CEJ0gkr6nF
'Gender' is not a synonym for sex.
5/15
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.