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Secrets of Ganapati (Author - Keshav Sitaram Thackeray)

This article is taken from Keshav Sitaram Thackeray's book 'Dharmachi Devale and Devalcha Dharma'. In it, Bal Thackeray's father is claiming how the Hindu deity of Ganesha is imaginary.
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Buddha is Ashtavinayak and "Ganapati Bappa Morya" is "Chandragupta Morya".

In the era of democracy, the head of state is the President. But in ancient India, there was a Gana culture in the monarchy and the head of that Gana was called Ganapati
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In ancient India, a prince named Siddharth Gautam was born in royalty. He later became the king of Shakya Gana in this Gana culture. In time, Siddhartha attained enlightenment.

Let us now understand the difference between a real Ganapati and an imaginary Ganapati.
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Some clever Brahmin manuvadis made the real Ganapati the imaginary Ganapati.

Buddha was the king of the Shakya Gana, so people called him Ganaraja. He founded Buddhism and became the head of the Shakyas. As the head of Gana, people used to call Buddha as Ganapati.
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But the Brahmins Brahmanized Ganapati and created a false Ganapati. When Buddha used to give the message of Dharma to the people, two words would come out of his message. Chitta and Malla.

Chitta is the body.
Malla means waste
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The take down of the Cabal A-Z Charlie Freak & @djmarkdevlin

...In May 2017- Prince alwaleed tala sold his soul to the 13 bloodline families

Thread.. please retweet this truth 🙏

Trump visits the Middle East and receives royal Saudi welcome, highest Saudi honour by receiving the golden collar of abdulaziz al Saud
Not been seen with past presidents ...

When trump arrived in the summer of 2017 14/09/2017 he laid out all the documents, all the folders and they had all the photographs, disks, cds, dvds with all footage of them doing horrific things, the NSA has it all!

2 weeks later the richest men begun getting arrested...

They hand picked Obama, alwaleed tala decided to make Obama the linchpin of the us presidency. Barack has connections all over the cabal

1/People I know on the Right tend to be obsessed with the idea of "crimethink", taboos, and the (supposedly) oppressive, omnipresent enforcement of liberal cultural norms.

Why?

My new theory: A lot of it is guilt.

2/It's true that in some circles - the media, universities, many big corporations - liberal norms *are* enforced to some degree, and the enforcement has probably gotten stronger in recent years.

But I don't think this explains all of the Right's obsession.

3/The stereotype is that people on the Right tend to be more threat-sensitive. That would help explain the perception that liberal norm-enforcers are lurking everywhere, ready to pounce and anathematize anyone who makes a misstep.

But I don't think that's all of it either.

4/And of course, it's always fun - whether you're on the Right or the Left, or playing a video game, or whatever - to style yourself as the brave iconoclastic rebel fighting against the oppressive forces of blah blah blah.

But I don't think this is all of it, either.

5/The reason I think it's more than these things is that even *in private*, people on the Right express their "crimethink" ideas very gingerly and hesitantly.

I get the sense that they're not just afraid of external censure, but have also internalized liberal norms.

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.