1/ I'm a huge fan of checklists

I use them every day to help me find great investments

Want to create your own investment checklist?

Here are some great resources to help you get started

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@ChenHuailun here. I'm adding a supplementary thread before today's scheduled one to expand on the origins and early history of the Church of the East (aka the Nestorian Church) ~ahc #jingjiao 1/

The Church of the East traces its origins to the christological position of the School of Antioch, which held that the human and divine and human essences (ουσία) of Christ were united in a single prosopon (πρόσωπον). ~ahc #jingjiao 2/

This ran against the position of the School of Alexandria, which held that the two essences of Christ were united in a single hypostasis (ὑπόστασις). In general terms, hypostasis is more inherent than prosopon. ~ahc #jingjiao 3/

One implication of the Antiochene rejection of the hypostatic union is that Mary could not accurately be called the Theotokos, or God-bearer. Instead, she is the Christotokos, the Christ-bearer. ~ahc #jingjiao 4/

These Christological debates were further complicated by Syriac terms such as 'kyana' (ܟܝܢܐ), associated with 'ousia' but later translated to 'hypostasis' by Syrian Orthodox; and 'qnoma ' (ܩܢܘܡܐ), sometimes contentiously translated as 'hypostasis' or 'person.' ~ahc #jingjiao 5/

Trump is a Russian asset, a mob money launderer installed by his mob whoremasters to sow chaos and weaken the US & our allies.

EVERY SINGLE THING HE’S DONE since taking office is to achieve those purposes—that and to enrich himself personally.

[THREAD]

1/ His entire family is part of this. Melania is a fucking crook. Ivanka is a fucking crook. Junior and Gums are fucking crooks. They will all die in prison, except for Kushner, who, if he really *did* trade US intel for money, should be executed for espionage.

2/ Why do you think Trump installs uniquely corrupt & awful people to Cabinet positions? Pruitt, Zinke, Betsy, Rex/Pompeo, Wilbur "Melting Nazi Face" Ross. They are not there to serve us. They are not there to drain the swamp. They are there to BURN THE REPUBLIC DOWN.

3/ Trump steals. He takes taxpayer money—your money and mine—and lines his pockets with it. He exploits his office to make himself richer. This is all he cares about. Why are Republican citizens, you “fiscal conservatives,” not more angry about this? Riddle me THAT, #MAGA.

4/ Matt Whitaker, the human dildo and “acting AG,” was illegally installed to throw a monkey wrench in the Mueller investigation. That’s why they won’t release his financials. He’s fucking bought and sold. He’s going to prison for obstruction.

HELLO: If you pee and every time you finish, your urine looks like this picture, you may have a serious medical illness.

Foamy urine especially if it is persistent and noticeable over time may mean you have a serious kidney problem.

Let’s talk about this today...
RT for others.

What are the features of a normal urine?

A normal urine should have a light yellow colour, painless, odourless (or faint smell), steady stream and should ideally not foam when you pee.

When there’s something wrong, then you see changes in all the above normal features of urine.

For instance if urine becomes very deep yellow, it may mean you are dehydrated;

If urine becomes painful or smells really really bad, it may mean you have an infection;

If urine has a poor stream, especially in a man, it may mean a prostate problem like cancer.

Do you get me?

So today let’s talk about Foamy Urine.

What are the things that can cause urine to suddenly be foamy. As I said in the first tweet, it MAY mean a serious medical illness like a serious kidney problem.

First things first- it does NOT always mean a problem but it may as well.

Now what are the causes of Foamy Urine:

1. SPEED-
If you pee really fast or with a lot of force, it may make your urine more foamy than usual. The speed and force makes the urine generate a lot of bubbles which tend to almost quickly disappear as it is formed in the toilet bowl.

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.

You want to buy a house.

You take a loan from the bank.

The bank asks you, “what if you don’t pay back?”

You say, “take my home and sell it”.

(Thread)

That makes sense. The bank gives you a loan and in case you don’t pay, the bank will take over your house and sell it and recover its money.

That’s collateral.

Banks also lend money to big corporations. With them, banks don’t always have collateral.

So a loan where the bank has collateral is considered safer for the bank.

In the early 2000s, the banks in the USA were giving out loans to people for buying houses.

The economy had just recovered from the tech bubble in 2000 where many banks had given out loans to businesses that had shut down.

In that backdrop, the banks found giving home loans safer.