@vonderleyen @AndrzejDuda #MarkOrban
The VOX audit reveals a scam of almost 4,000 million euros in the Board of @susanadiaz
The VOX audit reveals a scam of almost 4,000 million euros in the Board of @susanadiaz
The President of the Junta de Andalucía, already assured this week that he had started the audit of the accounts ⬇️
In the Housing Agency of the "Junta de Andalucía", more unaccounted-for invoices have been found, reaching 443 million euros,⬇️
⬇️
More from Scam
So I feel the need to do this, in attempt to protect some people. I BELIEVE
@WARONRUGS
is scamming it’s following. They came from ASEAL, the group that was anti rug and ended up rugging. I shilled I am aware, I made concerns clear in a hope to protect my following and (1/?)
I am here to once again try and do this. Shappy one of the admins, dumps on all of you his following after loading his bag very early with projects they may or may not be paid to endorse. There have been examples of those projects for example, “just hodl” the (2/?)
project that followed ASEAL ended in a rug. The reason I know this for a fact is I have his wallet address. Shappy during the ASEAL admins days knew forced admins to verify their addresses. (3/?)
Shappy dumped all of his ASEAL tokens two days before the announcement that the liquidity was being drained. You can see my tweet here:
Video proof of Shappys dm and wallet:
@WARONRUGS
is scamming it’s following. They came from ASEAL, the group that was anti rug and ended up rugging. I shilled I am aware, I made concerns clear in a hope to protect my following and (1/?)
I am here to once again try and do this. Shappy one of the admins, dumps on all of you his following after loading his bag very early with projects they may or may not be paid to endorse. There have been examples of those projects for example, “just hodl” the (2/?)
project that followed ASEAL ended in a rug. The reason I know this for a fact is I have his wallet address. Shappy during the ASEAL admins days knew forced admins to verify their addresses. (3/?)
Shappy dumped all of his ASEAL tokens two days before the announcement that the liquidity was being drained. You can see my tweet here:
Eh if you\u2019re still in I would advise getting out. They have continued to do dumb things since I left and this is the worst. If you want to stay all power to you. $ASEAL https://t.co/8UM0UjgONj pic.twitter.com/OKBRYoaRTb
— Jack.MN\u22f0\xb7\u22f0 (@Arkeon_Vito) November 11, 2020
Video proof of Shappys dm and wallet:
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Ivor Cummins has been wrong (or lying) almost entirely throughout this pandemic and got paid handsomly for it.
He has been wrong (or lying) so often that it will be nearly impossible for me to track every grift, lie, deceit, manipulation he has pulled. I will use...
... other sources who have been trying to shine on light on this grifter (as I have tried to do, time and again:
Example #1: "Still not seeing Sweden signal versus Denmark really"... There it was (Images attached).
19 to 80 is an over 300% difference.
Tweet: https://t.co/36FnYnsRT9
Example #2 - "Yes, I'm comparing the Noridcs / No, you cannot compare the Nordics."
I wonder why...
Tweets: https://t.co/XLfoX4rpck / https://t.co/vjE1ctLU5x
Example #3 - "I'm only looking at what makes the data fit in my favour" a.k.a moving the goalposts.
Tweets: https://t.co/vcDpTu3qyj / https://t.co/CA3N6hC2Lq
He has been wrong (or lying) so often that it will be nearly impossible for me to track every grift, lie, deceit, manipulation he has pulled. I will use...
... other sources who have been trying to shine on light on this grifter (as I have tried to do, time and again:
Ivor Cummins BE (Chem) is a former R&D Manager at HP (sourcre: https://t.co/Wbf5scf7gn), turned Content Creator/Podcast Host/YouTube personality. (Call it what you will.)
— Steve (@braidedmanga) November 17, 2020
Example #1: "Still not seeing Sweden signal versus Denmark really"... There it was (Images attached).
19 to 80 is an over 300% difference.
Tweet: https://t.co/36FnYnsRT9
Example #2 - "Yes, I'm comparing the Noridcs / No, you cannot compare the Nordics."
I wonder why...
Tweets: https://t.co/XLfoX4rpck / https://t.co/vjE1ctLU5x
Example #3 - "I'm only looking at what makes the data fit in my favour" a.k.a moving the goalposts.
Tweets: https://t.co/vcDpTu3qyj / https://t.co/CA3N6hC2Lq
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.