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: https://t.co/mrvWz1IzIe
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.
6/FRED, which gets its Gini estimates from the World Bank, shows the same numbers: https://t.co/1y911qazo9

Everyone except the "Fair Progress?" report, and the New York Times feature, seems to agree that the World Bank's most recent estimate of China's Gini is 42.2.
7/It appears that China's own estimate of its Gini was 46.5 in 2016: https://t.co/dG58kH3LiS
8/So where the heck is the "Fair Progress?" report getting its super-low China Gini number? It seems like it's NOT from the World Bank's World Development Indicators, which is what the report cites.
9/I notice that in the "Fair Progress?" report cited by the NYT, the U.S. Gini is also a bit fishy. It's less than 40, when the World Development Indicators say it's a bit over 40.
10/The only other source the "Fair Progress?" report cites is the World Bank's Global Database on Intergenerational Mobility: https://t.co/95RnPYxMsB

But the GDIM doesn't have income GINIs. So that can't be where these weird numbers were from (unless the data was mislabeled).
11/Anyway I've been searching high and low for where the "Fair Progress?" report and the NYT got these weird Gini numbers, and I just can't find it. If anyone else can help me find where this comes from, I'd appreciate it.
12/As of right now, it's looking like the New York Times used some bad data for an incredibly widely read report, thus convincing a ton of people (incorrectly) that China is a far more economically equal place than the United States.

https://t.co/vmzz57YeFf
13/But if someone finds a reliable source for these Gini numbers, then please let me know!

(end...for now)
14/UPDATE: The mystery has been solved! https://t.co/Qw9aB7Qg9D

The Gini number the NYT used was from the 1980s. It was not labeled as such.
15/The people who wrote the New York Times story appeared not to realize this. Here's the caption and graph from their piece:
16/The NYT seems to have just made a mistake, and should change the text and the graph to reflect that these numbers are from the 1980s, not current.

(end)

More from Noah Smith

"Competitive wokeness", like "virtue signaling" and "preference falsification", seems to be something people on the right say in order to pretend that people on the left don't really believe what they claim to believe.


Basically we have a whole bunch of ways of saying "You can't possibly believe that!!". Which helps us avoid the terrifying fact that yes, people generally do believe it.

Of course, "believe" doesn't mean what it means in econ class. It means that people get a warm feeling from asserting something, even if they don't know what it means. "God is omnipotent", etc.

A lot of times we believe extreme things, simply because asserting those things all together in a group gives us a warm feeling of having an army on our side.

It's not competitive wokeness. It's COOPERATIVE wokeness.

"Virtue signaling" isn't fake or pretend. It's real.

"Virtue", when it comes right down to it, means membership on a team.

Sometimes, to prove you're on a team, it helps to say something people on the other team could never bring themselves to say.
Bloomberg Ideas conference now starting! I will be live-tweeting it. You can watch on our Facebook or Twitter pages (links below)!


Our first panel is about cryptocurrency! We have @matt_levine, @tylercowen, @eiaine, @nirkaissar, and Camilla

Ou: Crypto will be useful for the unbanked.

Cowen: Crypto has to compete against a bunch of other emerging payments technologies. Bitcoin is too inflexible.

Cowen: I'll bet on the payments companies over crypto.

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
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/

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#ArudraDarisanam
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After removing the sandal paste,day long rituals & various abhishekam will be
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as Emerald has scientific property of its molecules getting disturbed when exposed to light/water/sound.This is an ancient Shiva temple considered to be 3000 years old -believed to be where Bhagwan Shiva gave Veda gyaana to Parvati Devi.This temple has some stunning sculptures.