this is a different disk.
did two disks on my desk go bad at the same time? or is this USB drive A USELESS FAILURE?
WHO STOLE MY DISK SECTOR
this is a different disk.
did two disks on my desk go bad at the same time? or is this USB drive A USELESS FAILURE?
it doesn't even fail to boot, it just hangs at boot
some stupid problem with partitioning/mbr, probably
isn't this shit a 486? yeah, it's a 66mhz 486.
the fuck?
That's really a 386... but it should be running at 50mhz. it definitely isn't.
it's got a 486-labeled 386 soldered to the board, and zero cache.
very very limited entry-level board, this.
(I haven't done it yet, this is just how hot it gets at 25mhz)
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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.
12 TRADING SETUPS which experts are using.
These setups I found from the following 4 accounts:
1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4. @DillikiBiili
Share for the benefit of everyone.
Here are the setups from @Pathik_Trader Sir first.
1. Open Drive (Intraday Setup explained)
Bactesting results of Open Drive
2. Two Price Action setups to get good long side trade for intraday.
1. PDC Acts as Support
2. PDH Acts as
Example of PDC/PDH Setup given
These setups I found from the following 4 accounts:
1. @Pathik_Trader
2. @sourabhsiso19
3. @ITRADE191
4. @DillikiBiili
Share for the benefit of everyone.
Here are the setups from @Pathik_Trader Sir first.
1. Open Drive (Intraday Setup explained)
#OpenDrive#intradaySetup
— Pathik (@Pathik_Trader) April 16, 2019
Sharing one high probability trending setup for intraday.
Few conditions needs to be met
1. Opening should be above/below previous day high/low for buy/sell setup.
2. Open=low (for buy)
Open=high (for sell)
(1/n)
Bactesting results of Open Drive
Already explained strategy of #opendrive
— Pathik (@Pathik_Trader) May 27, 2020
Backtested results in 30 stocks and nifty, banknifty.
Success ratio : approx 40-45%
RR average 1:2
Entry as per strategy
Stoploss = Open level
Exit 3:15 PM Or SL
39 months 14 months -ve, 25 +ve
Yearly all 4 years +ve performance. pic.twitter.com/nGqhzMKGVy
2. Two Price Action setups to get good long side trade for intraday.
1. PDC Acts as Support
2. PDH Acts as
So today we will discuss two more price action setups to get good long side trade for intraday.
— Pathik (@Pathik_Trader) June 20, 2020
1. PDC Acts as Support
2. PDH Acts as Support
Example of PDC/PDH Setup given
#nifty
— Pathik (@Pathik_Trader) June 23, 2020
This is how it created long setup by taking support at PDC.
hopefully shared setup on last weekend helped. pic.twitter.com/2mduSUpMn5
The entire discussion around Facebook’s disclosures of what happened in 2016 is very frustrating. No exec stopped any investigations, but there were a lot of heated discussions about what to publish and when.
In the spring and summer of 2016, as reported by the Times, activity we traced to GRU was reported to the FBI. This was the standard model of interaction companies used for nation-state attacks against likely US targeted.
In the Spring of 2017, after a deep dive into the Fake News phenomena, the security team wanted to publish an update that covered what we had learned. At this point, we didn’t have any advertising content or the big IRA cluster, but we did know about the GRU model.
This report when through dozens of edits as different equities were represented. I did not have any meetings with Sheryl on the paper, but I can’t speak to whether she was in the loop with my higher-ups.
In the end, the difficult question of attribution was settled by us pointing to the DNI report instead of saying Russia or GRU directly. In my pre-briefs with members of Congress, I made it clear that we believed this action was GRU.
The story doesn\u2019t say you were told not to... it says you did so without approval and they tried to obfuscate what you found. Is that true?
— Sarah Frier (@sarahfrier) November 15, 2018
In the spring and summer of 2016, as reported by the Times, activity we traced to GRU was reported to the FBI. This was the standard model of interaction companies used for nation-state attacks against likely US targeted.
In the Spring of 2017, after a deep dive into the Fake News phenomena, the security team wanted to publish an update that covered what we had learned. At this point, we didn’t have any advertising content or the big IRA cluster, but we did know about the GRU model.
This report when through dozens of edits as different equities were represented. I did not have any meetings with Sheryl on the paper, but I can’t speak to whether she was in the loop with my higher-ups.
In the end, the difficult question of attribution was settled by us pointing to the DNI report instead of saying Russia or GRU directly. In my pre-briefs with members of Congress, I made it clear that we believed this action was GRU.
