More from RealRLD
Financial Crisis (1667) avoided by Charles II, via London Goldsmiths' Loans https://t.co/UxtABIpH2n via @old_currency_ex
Coining and Debasement in Henry's Reign https://t.co/bGitKkj7wl via @wordpressdotcom
When Henry VIII and Francis I Spent $19 Million on an 18-Day Party
England's Unwanted Reformation https://t.co/n1a0u1DzNB via @YouTube
Unusual Historicals: Money Matters: The Country Without a Currency https://t.co/gGGHOFG9rk
Coining and Debasement in Henry's Reign https://t.co/bGitKkj7wl via @wordpressdotcom
When Henry VIII and Francis I Spent $19 Million on an 18-Day Party
England's Unwanted Reformation https://t.co/n1a0u1DzNB via @YouTube
Unusual Historicals: Money Matters: The Country Without a Currency https://t.co/gGGHOFG9rk
#PeakBlogging2011 ) years ago and this Groundhog post from @DavidGolemXIV @scientificecon @jbhearn @DavidGolemXIV @financialeyes @JoeBlob20 @wiki_ballot @GrubStreetJorno @Pathos14658352 @Lloyd__Evans There is no #CovidCrisis #ClimateCrisis
#GFCPt2
https://t.co/QGutbtW0Ev https://t.co/AwvmN9AWqu
https://t.co/XBaqI4O7X8 @RNW_MITCHELL
RBS: The Hillsborough of British Business
https://t.co/9F89jQDZV6 #SpankTheBanker
https://t.co/bOAwzaKCEM
#GFCPt2
https://t.co/QGutbtW0Ev https://t.co/AwvmN9AWqu
https://t.co/XBaqI4O7X8 @RNW_MITCHELL
Are you all ready for the Final Chapter - The Ending ? https://t.co/uF5HXRMPQp
— NEIL MITCHELL (@RNW_MITCHELL) December 22, 2020
RBS: The Hillsborough of British Business
https://t.co/9F89jQDZV6 #SpankTheBanker
https://t.co/bOAwzaKCEM
More from Government
Long thread: Because I couldn’t find anything comprehensive, I’m just going to post everything I’ve seen in the news/Twitter about Trump’s activities related to the Jan 6th insurrection. I think the timing & context of his actions/inactions will matter a lot for a senate trial.
12/12: The earlier DC protest over the electoral college vote during clearly inspired Jan 6th. On Dec 12th, he tweeted: “Wow! Thousands of people forming in Washington (D.C.) for Stop the Steal. Didn’t know about this, but I’ll be seeing them! #MAGA.”
12/19: Trump announces the Jan. 6th event by tweeting, “Big protest in D.C. on January 6th. Be there, will be wild!” Immediately, insurrectionists begin to discuss the “Wild Protest.” Just 2 days later, this UK political analyst predicts the violence
12/26-27: Trump announces his participation on Twitter. On Dec. 29, the FBI sends out a nationwide bulletin warning legislatures about attacks https://t.co/Lgl4yk5aO1
1/1: Trump tweets the time of his protest. Then he retweets “The calvary is coming” on Jan. 6!” Sounds like a war? About this time, the FBI begins visiting right wing extremists to tell them not to go--does the FBI tell the president? https://t.co/3OxnB2AHdr
12/12: The earlier DC protest over the electoral college vote during clearly inspired Jan 6th. On Dec 12th, he tweeted: “Wow! Thousands of people forming in Washington (D.C.) for Stop the Steal. Didn’t know about this, but I’ll be seeing them! #MAGA.”
Jumping in for @DCist/@wamu885 this evening. The scene rn coming up 17th Street from BLM Plaza. pic.twitter.com/Fn9aukjEPW
— Matt Blitz (@WhyBlitz) December 12, 2020
12/19: Trump announces the Jan. 6th event by tweeting, “Big protest in D.C. on January 6th. Be there, will be wild!” Immediately, insurrectionists begin to discuss the “Wild Protest.” Just 2 days later, this UK political analyst predicts the violence
On January 6, armed Trumpist militias will be rallying in DC, at Trump's orders. It's highly likely that they'll try to storm the Capitol after it certifies Joe Biden's win. I don't think this has sunk in yet.
— Arieh Kovler (@ariehkovler) December 21, 2020
12/26-27: Trump announces his participation on Twitter. On Dec. 29, the FBI sends out a nationwide bulletin warning legislatures about attacks https://t.co/Lgl4yk5aO1
1/1: Trump tweets the time of his protest. Then he retweets “The calvary is coming” on Jan. 6!” Sounds like a war? About this time, the FBI begins visiting right wing extremists to tell them not to go--does the FBI tell the president? https://t.co/3OxnB2AHdr
The Government is making the same mistakes as it did in the first wave. Except with knowledge.
A thread.
The Government's strategy at the beginning of the pandemic was to 'cocoon' the vulnerable (e.g. those in care homes). This was a 'herd immunity' strategy. This interview is from
This strategy failed. It is impossible to 'cocoon' the vulnerable, as Covid is passed from younger people to older, more vulnerable people.
We can see this playing out through heatmaps. e.g. these heatmaps from the second
The Government then decided to change its strategy to 'preventing a second wave that overwhelms the NHS'. This was announced on 8 June in Parliament.
This is not the same as 'preventing a second wave'.
https://t.co/DPWiJbCKRm
The Academy of Medical Scientists published a report on 14 July 'Preparing for a Challenging Winter' commissioned by the Chief Scientific Adviser that set out what needed to be done in order to prevent a catastrophe over the winter
A thread.
The Government's strategy at the beginning of the pandemic was to 'cocoon' the vulnerable (e.g. those in care homes). This was a 'herd immunity' strategy. This interview is from
Government #coronavirus science advisor Dr David Halpern tells me of plans to \u2018cocoon\u2019 vulnerable groups. pic.twitter.com/dhECJNbmnI
— Mark Easton (@BBCMarkEaston) March 11, 2020
This strategy failed. It is impossible to 'cocoon' the vulnerable, as Covid is passed from younger people to older, more vulnerable people.
We can see this playing out through heatmaps. e.g. these heatmaps from the second
Here are the heatmaps for Covid detected cases, positivity, hospitalizations, and ICU admissions. This is for the week to 3 January 2021.
— Dr Duncan Robertson (@Dr_D_Robertson) January 7, 2021
I have marked a line on 21 September, when SAGE recommended a circuit breaker, so you can see how the situation has deteriorated since then. pic.twitter.com/SEEVgUVK4j
The Government then decided to change its strategy to 'preventing a second wave that overwhelms the NHS'. This was announced on 8 June in Parliament.
This is not the same as 'preventing a second wave'.
https://t.co/DPWiJbCKRm
The Academy of Medical Scientists published a report on 14 July 'Preparing for a Challenging Winter' commissioned by the Chief Scientific Adviser that set out what needed to be done in order to prevent a catastrophe over the winter
One thing civil servants learn is to write things down. Here is @acadmedsci's 14 July report commissioned by @uksciencechief. For the record.
— Dr Duncan Robertson (@Dr_D_Robertson) September 17, 2020
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!
