Freedom of assembly is a Constitutional right, Mayor Bowser.

A thread on an interesting report by Goldman Sachs' Peter Oppenheimer, the bank's chief global equity strategist. He points out that Goldman's "Bear Market Risk Indicator" is looking ominous.

There are three factors that suggest that the recent stability could evaporate and that equities are "about to enter a sustained bear market", Oppenheimer says.

First is the fact that growth, inflation and interest rate outlook is unfriendly for equities.

Second is that greater volatility, such as multiple corrections and new peaks (which we've seen in 2018) tend to presage a full bear market.

Here is Goldman's data showing how falls and bounces tend to come ahead of "the dramatic final fall".

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At the moment #POTUS is sitting on a stack of #Trump cards, he's just waiting to unleash a royal flush!
He has court cases that will go to #SCOTUS and thanks to the Texas case, he's now aware how to file them properly under article 3 not 2, so SCOTUS will be forced to listen.

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#Trump now has the #DNI report. #Barr stepped down and can now be a witness, he did his job. #Durham is special counsel and can prosecute, in any state.
He’s letting civil, criminal and federal courts fail to handle the situation properly so he can use military tribunals.

3⃣
#Trump has ALL the data from the #NSA, the #Kraken supercomputer, the #Alice #supercomputer, and likely many more computers, unknown to us.
He has the dueling electors from 7 state legislatures. He has VP #Pence, as the final arbiter of which ballots to accept.

4⃣
#Trump has the #InsurrectionAct, the #NDAA, the national emergency, the 14th amendment, the 2018 executive order, the 2017 very first EO, the #Patriot Act, the #FISA warrants, the Declassification of everything, people swearing affidavits by the 1000s.

5⃣
#Trump has all the statistical data being analyzed along with the videos, emails, phone calls and bank transfer statements showing the coordination of the #coup d'etat.
He has #RICO and he has the #CrimesAgainstHumanity videos. #Wikileaks just dropped extensive information

'Treasure Gods' - Sangha Nidhi' and 'Padma Nidhi', Tirumala, Tirupati.

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These are the two guards guarding the Wealth and Treasure of Lord Sri Venkateswara.

They are representatives of two treasures of Kubera, the God of Wealth.

One guard who is holding shangam (conch) on both the hands is known as Shanka Nidhi ('nidhi' means wealth).

On the other side, the guard who is holding Lotus flowers on both the hands is known as Padma nidhi.

Shangu is from the ocean which includes all types of wealth like pearls and corals.

Why shagam in his hand? Because shangam only gives the sound of 'omkaram'.

'Padmam' is the symbol of water sources in land like river, lakes, tanks etc. which is very important for all living beings.

As per the tradition, these guards are installed at the third entrance of the temple.

One enters the holy shrine after saluting the first protection threshold - Sankha Nidhi and Padma Nidhi.

UNTOLD STORY OF QUEEN BHAVASHANKARI OF BENGAL - A 🧵u must read

Know the role of Naga Sadhus

PART-1

One of the most underrated empires to ever grace India is the kingdom of Bhurshut from central Bengal.

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A medieval powerhouse this kingdom stood firm against the Pathan invasion from Orissa twice, and with each time devastating the enemy forces.

Along with this, we also have to note that this was the time when the empire was under the reign of a widowed queen named Bhavashankari.

She wasn’t even born in a royal family and yet she achieved what most of the kings couldn’t do

This begs the question, why does no one remember this great kingdom?

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Bhurshut empire thrived from 15th century till late 18th century as an independent kingdom while acting as tributary state with full autonomy.

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What’s even more puzzling is that no one knows about the great queen Bhavanshakari who thrashed the Pathans single handedly without the aid of their allies.

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1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.