Webinar on tools for assessing national #climate pledges (NDCs) by @WRIClimate. @davidwaskow reminds: #ParisAgreement is meant to work thru an iterative process of increasing ambition (faster emission reductions), leading to #netzero emissions by 2050. (Thread 1/n)
2 are on track (e.g., crop yields)
13 right direction but too slow (e.g., need electric vehicle sales to be 22x faster than now)
2 in wrong direction: forests, ag emissions
@davidwaskow from @climateactiontr, @WRIClimate et al 3/n
100s of credible datasets,
100,000s of data points
to assess #climate trends, targets, bring transparency to inform + drive #ClimateAction.
For govts, biz, researchers, NGOs
Run by @JohannesFried.
(See also other forest, energy, ... tools) 5/n
Only 20 countries have long-term #climate strategies
Only 20 have submitted updated, more ambitious pledges (NDCs)
26 have net zero targets
62 have economy wide #climate policy
@MengpinGe (7/n)
Coming soon: #NetZero tracker (see report:https://t.co/Kb5JB2VgMu).
@MengpinGe (9/n)
OECD 2018 found $78.9 bn/yr (78% public $), of $100 bn/yr promised in Paris, per @davidwaskow (12/12)
More from Economy
1/OK, let's take a little break from Coup Twitter, and think about an economic issue:
How can we build up the wealth of the middle class?
2/The typical American has surprisingly little wealth compared to the typical resident of many other developed countries.
This is a fact that is not widely known or appreciated.
3/Now, some people argue that stuff like Social Security or social insurance programs should be included in wealth. But I chose to focus on private wealth because I think having assets you can sell whenever you want is important to
4/For many decades after World War 2, middle-class wealth in America was on a smooth upward trajectory.
Then the housing crash came, and all that changed. Suddenly the rich were still doing well but everyone else was seeing the end of their American Dream.
5/Why the divergence?
Because the American middle class has its wealth in houses -- specifically, in the houses they live in.
It's the rich who own stocks.
How can we build up the wealth of the middle class?
2/The typical American has surprisingly little wealth compared to the typical resident of many other developed countries.
This is a fact that is not widely known or appreciated.
3/Now, some people argue that stuff like Social Security or social insurance programs should be included in wealth. But I chose to focus on private wealth because I think having assets you can sell whenever you want is important to
Yes, these numbers don't include things like Social Security, just privately held wealth. They're not an attempt to capitalize every possible future income stream.
— Noahtogolpe \U0001f407 (@Noahpinion) January 10, 2021
4/For many decades after World War 2, middle-class wealth in America was on a smooth upward trajectory.
Then the housing crash came, and all that changed. Suddenly the rich were still doing well but everyone else was seeing the end of their American Dream.
5/Why the divergence?
Because the American middle class has its wealth in houses -- specifically, in the houses they live in.
It's the rich who own stocks.
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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.
Type this in the first cell you see. You need not worry about what each of these does, we will understand it later.
