The conference was addressed by author Noam Chomsky, anti-apartheid activist Ronnie Kasrils, and climate activist Scarlett Westbrook. In #Corbyn’s own address, produced below,
Today saw the launch conference for the Peace and Justice Project, founded by former Labour leader Jeremy #Corbyn. As the veteran British #socialist recently told Jacobin, the project aims to bring together movements around the world confronting the key questions of our time,
The conference was addressed by author Noam Chomsky, anti-apartheid activist Ronnie Kasrils, and climate activist Scarlett Westbrook. In #Corbyn’s own address, produced below,
Highlighting the power of demands like the Green New Deal, #Corbyn called for steps
I want to start with a huge thank you to everybody taking part today.
Thank you, all of you, for your endless determination to make a more peaceful and just world — for the many, not the few.
It’s your hope, your commitment, your passion that powers our movement.
It may not always seem that way in the face of defeats and setbacks. But movements do transform the world.
But look who changed the world.
Who do we remember? Do you remember Sylvia Pankhurst, or the Home Secretary who put her in prison for demanding votes for women?
That’s why we are all here. Because the struggle for peace and justice is needed today more than ever. Things can, and they will change — and that’s what our task is.
2020 was the hottest year on record. The wealth of the richest rose astronomically while the majority suffered. And a global response to the pandemic was held back by authoritarian nationalist leaders, and the drive for corporate mega profits.
Our role in the Peace and Justice Project will be to champion those ideas,
Many of the ideas we need to make the 2020s better than the 2010s were developed in and around the Labour Party in recent years
We will build on these policies, taking them further and adapting them to the post-pandemic world, alongside movements, experts,
As we launch today, we will focus on four areas of work. And we want you and the movements you’re involved in to take part.
First, a Green New Deal, paid for by the wealthy and big polluters, that supports our planet and a new economy that produces good quality, unionized jobs as a standard.
But we won’t do this to movements, we will do it with movements. So, we will convene regular meetings
If your organization wants to help shape our work, and join our meetings, please get in touch with us.
And if you want to be part of the campaign we will build in the run-up
Economic Security
The second area of our work is economic security, with the immediate task of supporting people in the pandemic recession.
More from Government
Which metric is a better predictor of the severity of the fall surge in US states?
1) Margin of Democrat victory in Nov 2020 election
or
2) % infected through Sep 1, 2020
Can you guess which plot is which?
The left plot is based on the % infected through Sep 1, 2020. You can see that there is very little correlation with the % infected since Sep 1.
However, there is a *strong* correlation when using the margin of Biden's victory (right).
Infections % from https://t.co/WcXlfxv3Ah.
This is the strongest single variable I've seen in being able to explain the severity of this most recent wave in each state.
Not past infections / existing immunity, population density, racial makeup, latitude / weather / humidity, etc.
But political lean.
One can argue that states that lean Democrat are more likely to implement restrictions/mandates.
This is valid, so we test this by using the Government Stringency Index made by @UniofOxford.
We also see a correlation, but it's weaker (R^2=0.36 vs 0.50).
https://t.co/BxBBKwW6ta
To avoid look-ahead bias/confounding variables, here is the same analysis but using 2016 margin of victory as the predictor. Similar results.
This basically says that 2016 election results is a better predictor of the severity of the fall wave than intervention levels in 2020!
1) Margin of Democrat victory in Nov 2020 election
or
2) % infected through Sep 1, 2020
Can you guess which plot is which?
The left plot is based on the % infected through Sep 1, 2020. You can see that there is very little correlation with the % infected since Sep 1.
However, there is a *strong* correlation when using the margin of Biden's victory (right).
Infections % from https://t.co/WcXlfxv3Ah.
This is the strongest single variable I've seen in being able to explain the severity of this most recent wave in each state.
Not past infections / existing immunity, population density, racial makeup, latitude / weather / humidity, etc.
But political lean.
One can argue that states that lean Democrat are more likely to implement restrictions/mandates.
This is valid, so we test this by using the Government Stringency Index made by @UniofOxford.
We also see a correlation, but it's weaker (R^2=0.36 vs 0.50).
https://t.co/BxBBKwW6ta
To avoid look-ahead bias/confounding variables, here is the same analysis but using 2016 margin of victory as the predictor. Similar results.
This basically says that 2016 election results is a better predictor of the severity of the fall wave than intervention levels in 2020!