Ok so, the NI #motherandbabyhomes report and its ROI counterpart are not directly comparable for many reasons. However, the NI report models some best practice that deserves to be highlighted/praised.
With @seanoco78853943 and @LiviDeeHistory and John Privilege it's been a long road but very glad to see this report published today https://t.co/MpPPkmepxi
— Leanne McCormick (@Leannemcck) January 26, 2021
More from Society
global health policy in 2020 has centered around NPI's (non-pharmaceutical interventions) like distancing, masks, school closures
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
this methodology is a little complex, so let me explain what i did.
— el gato malo (@boriquagato) May 30, 2020
a few EU countries provide real day of death data. this lets us plot meaningful curves to show rate of disease change.
what struck me is how similar all the curves were.
everyone got the same shape. pic.twitter.com/bN0hILzoSl
So, as the #MegaMillions jackpot reaches a record $1.6B and #Powerball reaches $620M, here's my advice about how to spend the money in a way that will truly set you, your children and their kids up for life.
Ready?
Create a private foundation and give it all away. 1/
Let's stipulate first that lottery winners often have a hard time. Being publicly identified makes you a target for "friends" and "family" who want your money, as well as for non-family grifters and con men. 2/
The stress can be damaging, even deadly, and Uncle Sam takes his huge cut. Plus, having a big pool of disposable income can be irresistible to people not accustomed to managing wealth. https://t.co/fiHsuJyZwz 3/
Meanwhile, the private foundation is as close as we come to Downton Abbey and the landed aristocracy in this country. It's a largely untaxed pot of money that grows significantly over time, and those who control them tend to entrench their own privileges and those of their kin. 4
Here's how it works for a big lotto winner:
1. Win the prize.
2. Announce that you are donating it to the YOUR NAME HERE Family Foundation.
3. Receive massive plaudits in the press. You will be a folk hero for this decision.
4. Appoint only trusted friends/family to board. 5/
Ready?
Create a private foundation and give it all away. 1/
Let's stipulate first that lottery winners often have a hard time. Being publicly identified makes you a target for "friends" and "family" who want your money, as well as for non-family grifters and con men. 2/
The stress can be damaging, even deadly, and Uncle Sam takes his huge cut. Plus, having a big pool of disposable income can be irresistible to people not accustomed to managing wealth. https://t.co/fiHsuJyZwz 3/
Meanwhile, the private foundation is as close as we come to Downton Abbey and the landed aristocracy in this country. It's a largely untaxed pot of money that grows significantly over time, and those who control them tend to entrench their own privileges and those of their kin. 4
Here's how it works for a big lotto winner:
1. Win the prize.
2. Announce that you are donating it to the YOUR NAME HERE Family Foundation.
3. Receive massive plaudits in the press. You will be a folk hero for this decision.
4. Appoint only trusted friends/family to board. 5/
I've seen many news articles cite that "the UK variant could be the dominant strain by March". This is emphasized by @CDCDirector.
While this will likely to be the case, this should not be an automatic cause for concern. Cases could still remain contained.
Here's how: 🧵
One of @CDCgov's own models has tracked the true decline in cases quite accurately thus far.
Their projection shows that the B.1.1.7 variant will become the dominant variant in March. But interestingly... there's no fourth wave. Cases simply level out:
https://t.co/tDce0MwO61
Just because a variant becomes the dominant strain does not automatically mean we will see a repeat of Fall 2020.
Let's look at UK and South Africa, where cases have been falling for the past month, in unison with the US (albeit with tougher restrictions):
Furthermore, the claim that the "variant is doubling every 10 days" is false. It's the *proportion of the variant* that is doubling every 10 days.
If overall prevalence drops during the studied time period, the true doubling time of the variant is actually much longer 10 days.
Simple example:
Day 0: 10 variant / 100 cases -> 10% variant
Day 10: 15 variant / 75 cases -> 20% variant
Day 20: 20 variant / 50 cases -> 40% variant
1) Proportion of variant doubles every 10 days
2) Doubling time of variant is actually 20 days
3) Total cases still drop by 50%
While this will likely to be the case, this should not be an automatic cause for concern. Cases could still remain contained.
Here's how: 🧵
One of @CDCgov's own models has tracked the true decline in cases quite accurately thus far.
Their projection shows that the B.1.1.7 variant will become the dominant variant in March. But interestingly... there's no fourth wave. Cases simply level out:
https://t.co/tDce0MwO61
Just because a variant becomes the dominant strain does not automatically mean we will see a repeat of Fall 2020.
Let's look at UK and South Africa, where cases have been falling for the past month, in unison with the US (albeit with tougher restrictions):
Furthermore, the claim that the "variant is doubling every 10 days" is false. It's the *proportion of the variant* that is doubling every 10 days.
If overall prevalence drops during the studied time period, the true doubling time of the variant is actually much longer 10 days.
Simple example:
Day 0: 10 variant / 100 cases -> 10% variant
Day 10: 15 variant / 75 cases -> 20% variant
Day 20: 20 variant / 50 cases -> 40% variant
1) Proportion of variant doubles every 10 days
2) Doubling time of variant is actually 20 days
3) Total cases still drop by 50%
