Last week, @CleCityCouncil started reviewing Mayor Frank Jackson’s proposed city budget for 2021. There was robust discussion, and Documenters were there to cover it. Here’s a thread of what we learned last week about the #CLEBudget
Good morning, #Cleveland! I\u2019ll be covering the Cleveland City Council General Fund Budget Retreat today starting at 9 a.m. for @cledocumenters #CLEdocumenters & @NeighborUpCle. You can watch along on @CleCityCouncil\u2019s YouTube channel here: https://t.co/kfORaAgob1 #CLEbudget
— Gennifer with a G (@GenniferwithaG_) February 12, 2021
This week, @CLECityCouncil is holding committee meetings about federal Community Development Block Grants (CDBG). CDBG is complicated and it\u2019s hard to know how it impacts our City, so I thought I might share some background and how I interact with CDBG on the regular.
— Jessica Trivisonno (@Jesstrivisonno) February 8, 2021
Hiya! I\u2019ll be live-tweeting this morning\u2019s #CLEbudget @CleCityCouncil Development, Planning & Sustainability Committee meeting for #CLEDocumenters @CLEDocumenters @NeighborUpCLE.
— Danny Mc (@dmcbillion) February 9, 2021
Hi, I'll be live-tweeting today's Cleveland City Council, Development, Planning and Sustainability Committee's
— Seanna Denee' (@seandene) February 9, 2021
Community Development Block Grants (CDBG) Budget Hearing (part 2) at 1:30pm, for #CLEDocumenters @CLEDocumenters @NeighborUpCLE
https://t.co/6Mc0bWoPiu
Good day! I'm representing @cledocumenters and live-tweeting the Cleveland City Council Development, Planning and Sustainability Committee: CDBG Budget Hearings at 1:30 pm
— Melanated Millennial (@MelanatedMill) February 10, 2021
https://t.co/NLE1znVcST
https://t.co/6yoboefP02
More from Government
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!