We aren’t being shut out from sports but from unfairly competing with women. We should push for men’s sport to be inclusive & open with facilities/dignity for all. Yrs ago I played in women’s soccer. Thanks to the women’s movement I see today that it was wrong to have done so.
We\u2019re deeply disappointed in World Rugby\u2019s decision to move ahead with proposals to stop most trans women playing in competitions they govern.
— stonewalluk (@stonewalluk) October 9, 2020
We stand in solidarity with those who will feel shut out from the sport they love.https://t.co/Mm2hT5UCxO
Only by mutual respect for each groups’ right to sporting opportunity, safety, fairness & dignity can we replace rancour with empathy & division with understanding.
More from Society
Hong Kong protester equipment list:
- respirator (dubbed "pig snouts" in Cantonese)
- helmet
- eye mask
- heat-proof gloves
- water bottle
- cling wrap
- saline
- traffic cones
- pots and pans
Demonstrators find creative methods to battle police tear gas
https://t.co/kPeUTu9iFh
AFP graphic charting Hong Kong's main socio-economic indicators and opinion polls on press freedom and government performance
@AFPgraphics
AFP graphic showing the main equipment used by hardcore pro-democracy protesters in Hong Kong to battle police tear gas, pepper spray and rubber bullets
@AFPgraphics
Frontline first aid.
Nurses, doctors, medical students and ordinary citizens with first aid training have clamoured to join a small volunteer corps helping treat people involved in the Hong Kong protests
@AFP's Yan Zhao reports: https://t.co/uDfYkMeZJf
📸 Anthony Wallace
Pro-democracy activists kick off three days of rallies at Hong Kong airport.
Protesters hope to win international support from arriving passengers. The last demonstration at the airport on July 26 passed off peacefully without causing flight disruptions
https://t.co/jmVqtEd4M2
- respirator (dubbed "pig snouts" in Cantonese)
- helmet
- eye mask
- heat-proof gloves
- water bottle
- cling wrap
- saline
- traffic cones
- pots and pans
Demonstrators find creative methods to battle police tear gas
https://t.co/kPeUTu9iFh
AFP graphic charting Hong Kong's main socio-economic indicators and opinion polls on press freedom and government performance
@AFPgraphics
AFP graphic showing the main equipment used by hardcore pro-democracy protesters in Hong Kong to battle police tear gas, pepper spray and rubber bullets
@AFPgraphics
Frontline first aid.
Nurses, doctors, medical students and ordinary citizens with first aid training have clamoured to join a small volunteer corps helping treat people involved in the Hong Kong protests
@AFP's Yan Zhao reports: https://t.co/uDfYkMeZJf
📸 Anthony Wallace
Pro-democracy activists kick off three days of rallies at Hong Kong airport.
Protesters hope to win international support from arriving passengers. The last demonstration at the airport on July 26 passed off peacefully without causing flight disruptions
https://t.co/jmVqtEd4M2
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.
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