There hv been concerted efforts by members of the Oyo APC to rewrite history. They repeat so often the lie that Ibadan was a peaceful place bfr Seyi Makinde took over office on May 29, 2019. It has become a case of, repeat a lie often enough, & it begins to sound like the truth.
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@Ayjchan @K_G_Andersen @stgoldst @RozSofia @Ayjchan @K_G_Andersen please note that there were 11 infections in the Beijing 2004 leaks, not 8.
The 8 you are mentioning are for the main chain of infection with 3 levels from one primary case in April.
But there were 3 more primary cases for a total of 11 cases.
@K_G_Andersen @stgoldst @RozSofia All were linked to the heavily contaminated CDC P3 lab (the top P3 in China at the time).
The cases are typically separated between:
- The February ones (Cui and Ren) which seem to have been covered up by the CDC Institute of Virology. Also we only have pseudonyms for these 2.
@K_G_Andersen @stgoldst @RozSofia - The April ones-9 infections (1+8, officially the 'Beijing-Anhui Apr-2004 breakout'.
The official Chinese report only focussed on the April infections - keeping very quiet about the February ones. Here is the main April chain of infection.
Here is are the 9 from Apr 2004:
@K_G_Andersen @stgoldst @RozSofia And here are the 9 people infected in Apr 2004:
(4-22 in the title -> April chain with alarm raised on the 22nd):
@K_G_Andersen @stgoldst @RozSofia The WHO eventually correctly mentioned 11 cases:
https://t.co/a1HvuT0C8z
The 8 you are mentioning are for the main chain of infection with 3 levels from one primary case in April.
But there were 3 more primary cases for a total of 11 cases.
@K_G_Andersen @stgoldst @RozSofia All were linked to the heavily contaminated CDC P3 lab (the top P3 in China at the time).
The cases are typically separated between:
- The February ones (Cui and Ren) which seem to have been covered up by the CDC Institute of Virology. Also we only have pseudonyms for these 2.
@K_G_Andersen @stgoldst @RozSofia - The April ones-9 infections (1+8, officially the 'Beijing-Anhui Apr-2004 breakout'.
The official Chinese report only focussed on the April infections - keeping very quiet about the February ones. Here is the main April chain of infection.
Here is are the 9 from Apr 2004:
@K_G_Andersen @stgoldst @RozSofia And here are the 9 people infected in Apr 2004:
(4-22 in the title -> April chain with alarm raised on the 22nd):
@K_G_Andersen @stgoldst @RozSofia The WHO eventually correctly mentioned 11 cases:
https://t.co/a1HvuT0C8z
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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.
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10 competitive advantages that you can start developing today:
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Time for a stiff drink and some truth you probably dont want to hear.
\U0001f447\U0001f447
10 significant lies you’re told about the world (4/10)
THREAD: 10 significant lies you're told about the world.
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