https://t.co/tldWVP24Gx
Nearly every day I take a walk, grab a coffee, and sit for a while in front of Baltimore’s Camden Station. This is where Abraham Lincoln was nearly assassinated on the eve of his 1861 inauguration. Thinking about that little known story a lot lately, so today, I’m sharing it. 1/
https://t.co/tldWVP24Gx
Would depart at 3. (Calvert station, where the red pin is, is long gone) 25/
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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
1/OK, data mystery time.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.
This is a piece I've been thinking about for a long time. One of the most dominant policy ideas in Washington is that policy should, always and everywhere, move parents into paid labor. But what if that's wrong?
My reporting here convinced me that there's no large effect in either direction on labor force participation from child allowances. Canada has a bigger one than either Romney or Biden are considering, and more labor force participation among women.
But what if that wasn't true?
Forcing parents into low-wage, often exploitative, jobs by threatening them and their children with poverty may be counted as a success by some policymakers, but it’s a sign of a society that doesn’t value the most essential forms of labor.
The problem is in the very language we use. If I left my job as a New York Times columnist to care for my 2-year-old son, I’d be described as leaving the labor force. But as much as I adore him, there is no doubt I’d be working harder. I wouldn't have stopped working!
I tried to render conservative objections here fairly. I appreciate that @swinshi talked with me, and I'm sorry I couldn't include everything he said. I'll say I believe I used his strongest arguments, not more speculative ones, in the piece.
My reporting here convinced me that there's no large effect in either direction on labor force participation from child allowances. Canada has a bigger one than either Romney or Biden are considering, and more labor force participation among women.
But what if that wasn't true?
Forcing parents into low-wage, often exploitative, jobs by threatening them and their children with poverty may be counted as a success by some policymakers, but it’s a sign of a society that doesn’t value the most essential forms of labor.
The problem is in the very language we use. If I left my job as a New York Times columnist to care for my 2-year-old son, I’d be described as leaving the labor force. But as much as I adore him, there is no doubt I’d be working harder. I wouldn't have stopped working!
I tried to render conservative objections here fairly. I appreciate that @swinshi talked with me, and I'm sorry I couldn't include everything he said. I'll say I believe I used his strongest arguments, not more speculative ones, in the piece.
I appreciate his intellectual curiosity and effort. I have quibbles. But my big disappointment is there was no mention of unintended consequences, which we discussed and which are kind of THE core conservative concern on this issue.
— \U0001d682\U0001d68c\U0001d698\U0001d69d\U0001d69d \U0001d686\U0001d692\U0001d697\U0001d69c\U0001d691\U0001d692\U0001d699 (@swinshi) February 18, 2021
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Krugman is, of course, right about this. BUT, note that universities can do a lot to revitalize declining and rural regions.
See this thing that @lymanstoneky wrote:
And see this thing that I wrote:
And see this book that @JamesFallows wrote:
And see this other thing that I wrote:
One thing I've been noticing about responses to today's column is that many people still don't get how strong the forces behind regional divergence are, and how hard to reverse 1/ https://t.co/Ft2aH1NcQt
— Paul Krugman (@paulkrugman) November 20, 2018
See this thing that @lymanstoneky wrote:
And see this thing that I wrote:
And see this book that @JamesFallows wrote:
And see this other thing that I wrote: