I often hear the argument: Bitcoin mining is wasting enormous amounts of energy.

Bitcoin mining uses about the same amount of energy as a small country and that is fine!

Time for a thread:

The first ever world map was sketched thousands of years ago by Indian saint
“Ramanujacharya” who simply translated the following verse from Mahabharat and gave the world its real face

In Mahabharat,it is described how 'Maharishi Ved Vyasa' gave away his divine vision to Sanjay

Dhritarashtra's charioteer so that he could describe him the events of the upcoming war.

But, even before questions of war could begin, Dhritarashtra asked him to describe how the world looks like from space.

This is how he described the face of the world:

सुदर्शनं प्रवक्ष्यामि द्वीपं तु कुरुनन्दन। परिमण्डलो महाराज द्वीपोऽसौ चक्रसंस्थितः॥
यथा हि पुरुषः पश्येदादर्शे मुखमात्मनः। एवं सुदर्शनद्वीपो दृश्यते चन्द्रमण्डले॥ द्विरंशे पिप्पलस्तत्र द्विरंशे च शशो महान्।

—वेद व्यास, भीष्म पर्व, महाभारत

Meaning:-

हे कुरुनन्दन ! सुदर्शन नामक यह द्वीप चक्र की भाँति गोलाकार स्थित है, जैसे पुरुष दर्पण में अपना मुख देखता है, उसी प्रकार यह द्वीप चन्द्रमण्डल में दिखायी देता है। इसके दो अंशो मे पीपल और दो अंशो मे विशाल शश (खरगोश) दिखायी देता है।

Meaning: "Just like a man sees his face in the mirror, so does the Earth appears in the Universe. In the first part you see leaves of the Peepal Tree, and in the next part you see a Rabbit."

Based on this shloka, Saint Ramanujacharya sketched out the map, but the world laughed

If there is one thing I have learned it is that people love bullshit. They buy bullshit stories from professional bullshit artists, accept bullshit philosophies, purchase bullshit how-to-books, vote for bullshitting politicians.

At first, I resisted believing this because it is illogical and dumb and frankly, doesn't reflect well on the human race of which I am a member (and thus have long been hopeful that it is more of a distinction than it actually turns out to be.)

But if you actually are interested in facts you begin to notice how little most people care for them. Sometimes it is because they are heard to learn and bullshit is so much more widely and easily available. Sometimes it is because facts make them uncomfortable about themselves.

Sometimes it is because just one tiny fact will upset a whole worldview that has grown as comfortable as an overstuffed chair. (Settling into such worldviews is a lot like settling into chairs like that because the longer you're there and the deeper you sink...

...the harder it is to hoist yourself up and out of your fat-assed intellectual laziness.) But I actually think the reason people have such an appetite for bullshit goes deeper, goes to an aspect of ourselves we just can't accept.

My dad led an organization of over 300,000 employees.

When I took on my biggest marketing & events team to date (35 employees) I asked him how the *heck* he did it. Here's what he said and what helped me every day. 🧵

Remember you're leading all the employees under you, but you're not *managing* them all. You're managing your direct reports, which should be 5-7 individuals max. Focus on them.

When you interact with the employees you don't manage directly, get to know them as people first, that'll be the most valuable information in leading them. Remembering everything you learn about them is hard, but doing so will make you a superhero.

If you're not going to empower the managers under you, why do you have them? If you see room for improvement, let the manager know and let them make the change on their teams and come to you with questions/concerns. This will save you SO much time.

If you're the smartest person in any room - you're doing it wrong. As a leader, your job is bringing together the best people to get the job done - your skillset is identifying those people, not being one of them.

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.

🛠️ OPEN BUSINESS IDEAS 🛠️

Below a list of business/product ideas I had or read about.

They are worthless if they remain ideas and if you don't overcome the challenges in building them, so feel free to copy / tweak / implement them!
👇

Better: use one and make a MVP during the #24hrstartup challenge!

😻 Product Hunt Time
A clock that displays the time it is @ProductHunt
Also displays what you should do and where you should post, at each specific time during your launch

🚧 IndieCrunch - VC free tech news
Techcrunch but only for bootstrapped companies

🎧 Kickstarter for audiobooks
A lot of awesome books are not available as audio.
Crowdfund the money to buy the audio rights + a voice actor