Let's discuss the environmental cost of the US dollar. Because despite all the push for sustainable and green investment in the government, there's a giant smoldering Chernobyl sitting at the heart of Washington which a lot of investors would prefer you remain quiet about. 🧵 (1/
More from Government
The Manatee-Sarasota area has many connections to the horrific scene of insurrection in Washington DC yesterday. Want to see? Buckle up for this thread: /1
The Manatee GOP expressed support for Josh Hawley’s objections to certification of the electoral college vote. /2
Josh Hawley’s home-state newspaper says Hawley has blood on his hands for a “Capitol coup attempt.” This is who the Manatee GOP cheered on.
Florida GOP Vice Chair & Sarasota County Commissioner Christian Ziegler was at the protest, as described in this @HeraldTribune article.
The protest was led by the same people connected to Ziegler who were filming outside the Vern Buchanan town hall at the Van Wezel in Sarasota in 2017, namely Dustin Stockton. Stockton was also part of Steve Bannon's border wall group. /5
https://t.co/NbOxVqbtO4
The Manatee GOP expressed support for Josh Hawley’s objections to certification of the electoral college vote. /2
Josh Hawley’s home-state newspaper says Hawley has blood on his hands for a “Capitol coup attempt.” This is who the Manatee GOP cheered on.
Florida GOP Vice Chair & Sarasota County Commissioner Christian Ziegler was at the protest, as described in this @HeraldTribune article.
The protest was led by the same people connected to Ziegler who were filming outside the Vern Buchanan town hall at the Van Wezel in Sarasota in 2017, namely Dustin Stockton. Stockton was also part of Steve Bannon's border wall group. /5
https://t.co/NbOxVqbtO4
Abbott is pushing a lie to protect incompetence. There is no Federal oversight of the Texas Grid, ergo fewer regulations (sound familiar) - so point one: state legislature needs reform. 2/
2. Point 2: there were clear signs the grid would get overloaded under extreme cold conditions. Why? Due to a vacuum of regulations mandating winterization of turbines and power generators. This from sources, in Texas!
3. Point 3: Of the power shortfall that hit Texas, over 80% was due to problems at coal and gas fired plants. Power generators were just not winterized. Decisions to do so have been ignored since the 1990s.
4. Point 4: these are winterized wind turbines in Denmark. The ocean is frozen. The turbines are generating.
5. #Texas| the main issue is: catastrophic governance at the State level (no Federal oversight of the Texas grid) failing to allocate funding to winterise the Natural Gas, Coal and Wind Turbine elements that contribute to the grid. (~ 80/20
Texas Gov. Abbott blames solar and wind for the blackouts in his state and says "this shows how the Green New Deal would be a deadly deal for the United States of America" pic.twitter.com/YfVwa3YRZQ
— Andrew Lawrence (@ndrew_lawrence) February 17, 2021
2. Point 2: there were clear signs the grid would get overloaded under extreme cold conditions. Why? Due to a vacuum of regulations mandating winterization of turbines and power generators. This from sources, in Texas!
3. Point 3: Of the power shortfall that hit Texas, over 80% was due to problems at coal and gas fired plants. Power generators were just not winterized. Decisions to do so have been ignored since the 1990s.
4. Point 4: these are winterized wind turbines in Denmark. The ocean is frozen. The turbines are generating.
Same thing in Denmark. It's cold enough here that the ocean is frozen and yet look at those reliable windmills just chugging along. pic.twitter.com/1NTljk7hk9
— Elizabeth Gummere (@BethGummere) February 17, 2021
5. #Texas| the main issue is: catastrophic governance at the State level (no Federal oversight of the Texas grid) failing to allocate funding to winterise the Natural Gas, Coal and Wind Turbine elements that contribute to the grid. (~ 80/20
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!
