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Here is Editor-in-Chief of the @EpochTimes, @JasperFakkert's response to the slanted hit piece that @Buzzfeed's @HayesBrown put up 2 days ago:

Brown's article at Buzzfeed starts off pretending it's some kind of really off-the-wall notion that Hillary Clinton paid for the creation of the Steele Dossier that was then used to justify the FBI's spying on the Trump campaign & transition team.

After that awful start, he swerves to making accusations that the Epoch Times is connected to the 'cult' Falon Gong.

You can read the article here:

Brown insinuates with no real evidence whatsoever that the Epoch Times is 'Falon Gong-linked'.

The 'evidence' he supplies in his article to 'prove' @EpochTimes is 'Falon Gong-linked is this:

1) the Epoch Times' extensive *news coverage* of China's attempts to wipe out Falon Gong with intense persecution directed at the group since 1999.

2) a reporter *shouting a question in 2006* at then-President George W. Bush about China's persecution of Falon Gong members.

SRI KALAHASTI KSHETRAM, CHITTOOR (AP)
#bharatmandir

Panchbhootasthalam representing vayu element, also called Dakshin Kailasha.
As per Shiva’s boon, Vayu is incarnated here as Shiva and worshipped as Kalahasteeswara.
The kshetram is also associated with Rahu and Ketu.

The Kshetram is named after 3 devotees of Shiva- a snake, spider and elephant who worshipped a lingam in the forest. Elephant did jal abhishek with water from its trunk, spider protected it from dust by weaving a web on it and snake adorned it with his jewel.
@GunduHuDuGa

Once, the web and jewel got washed away when elephant sprayed water on the lingam. Angered snake entered elephant’s trunk and bit him but died in the process. The agitated elephant trampled the spider accidentally. Shiva gave moksha to all three.

Hence the name-Sri for Spider, kaal for snake n hasti for elephant.

Shiv bhakt Kanappa is said to have plucked his own eye to put it on the lingam here when he saw blood oozing from the eye on the lingam
This place is the ultimate location for Rahu Kethu Sarpa Dosha Nivarana.

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.

This post is pretty bizarre, but it manages to hit on so many false beliefs that I've seen hurt junior data scientists that it deserves some explicit

(1) The notion that R is well-suited to "building web applications" seems totally out of left field. I don't feel like most R loyalists think this is a good idea, but it's worth calling out that no normal company will be glad you wrote your entire web app in R.

(2) It is true that Python had some issues historically with the 2-to-3 transition, but it's not such a big deal these days. On the flip side, I have found interesting R code that doesn't run in modern R interpreters because of changes in core operations (e.g. assignment syntax).

(3) "Most of the time we only need a latest, working interpreter with the latest packages to run the code" -- this is where things get real and reveal some things that hurt data scientists. If this sentence is true, it's likely because you don't share code with coworkers.

(3) Really is a broader issue in data science: people only think of what they need to do their work if no one else existed and code was never maintained. Junior data scientists almost always operate on projects they start from scratch and don't have to maintain for long.