I have mentioned before too good material on RS

1. A Book written by Sir @Prashantshah267 as attached
2. Research paper by @MebFaber April 2010
3. A book written by Sir Robert A. Levy as attached
4. Webinar by Sir @premalparekh with @vivbajaj
5. Video by @jfahmy on YT https://t.co/xg4fe09ImL

We’ve recently seen research about so-called “bots” and misinformation on Twitter and wanted to share our perspective on why findings that might seem remarkable at first are likely inaccurate. We’re working on a more detailed explanation, but some comments for now.

We continue to be excited by the research opportunities that Twitter data provides. Our service is the largest source of real-time social media data, and we make this data available to the public for free through our public API. No other major service does this.

Many researchers, academics, and journalists use our public API — a set of tools for programmatically accessing information on Twitter. We make all public Twitter content available via our APIs. You can learn more about them here:

The basic issue with much of the research based on our public APIs is simple: The APIs don't provide insight into our defensive actions to protect Twitter from manipulation, including bots.

Because of this, API-based research can't distinguish between accounts we've already identified as bad (and hidden or removed) and real, authentic ones.

Great seeing one of the fastest natural drivers of the last decade Robert Kubica today with @WilliamsRacing at @COTA #USGP #f1 #robertkubica #Poland #richenergy

💬 I often get Q’s like these:

How did you get your first customers for WIP? How did you grow BetaList’s traffic? Etc.

Makers are looking to reverse-engineer success. I see it everywhere.

I don’t think it works that way and the answers to those questions are mostly useless. 💥

I have built dozens of different products over the last couple of years. The vast majority failed. 😭

Surely if I know the answers to these questions, but still fail over and over again, these answers aren’t that useful. 🤷‍♀️

So what’s a better question to ask? 🤔

99.9% of the questions I receive are about the products that did well. In a way that makes sense, because we quickly forget about those that didn’t succeed.

🧠 This is known as survivorship bias.

Focusing on what survived, while ignoring what made it survive in the first place.

The real question, what you really want to know, is this:

What makes @WIP, @BetaList, and to some extent @AllStartupJobs succeed where my countless other attempts failed?

What separates a failed product 👎 from a successful product 👍?

Honestly, I don’t know. I wish I did.

It’s like Steve Jobs said “I’ll know it when I see it.” 👀

Same is true when we make products. We don’t know upfront what will work. But once we see an inkling of a product that does have potential, it’s not that hard to spot.

Story of Thumba Poo and Shiva

Thumba poo is a tiny white flower which grows in all areas. These flowers are used for treatment for sinus. Small children who have polyps in Nose are told to crush tumbha leaves and apply in nose part.
There is an interesting story of Thumba and

Mahadeva. Thumba flowers were not taken for Shiva Pooja. Saddened to this Thumba prayed sincerely and Mahadeva appeared before her.
She was surprised that Shiva had appeared before her. Instead of saying that she wants to under his feet always, she said
@SriramKannan77

She said that her feet should be on his head. Shiva accepted her prayers. It is because of this Thumba flower is placed in the head of Shiva Linga.
Shambo Mahadeva
Om Namah Sivaye
🙏🕉🙏