The old conservative versus liberal thing, or the left/right division has been completely obliterated, and sometimes directly reversed. Originally, those on the right were defenders of the status quo, which meant they were fine with the world being run by bankers and aristocrats.

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.

Rio de Janeiro, 1920. 🇧🇷

São Paulo, 1910. 🇧🇷

“Arpoador”, Rio de Janeiro, 1900. 🇧🇷

“Avenida Paulista”, São Paulo, 1902. 🇧🇷

Recife, 1885. 🇧🇷

Pyramiding 2.0

A thread-

What is pyramiding?

It is simply adding to your winners.

Why use pyramiding?

1. It makes your winners bigger than your losers.

• Because you are adding positions when your trades are going your way, you are increasing your gains but your losers will be small comparatively.

2. You lose less during Draw-down time ( it saves you from losing big during whipsaws )

• Many times when the market is in sideways mode, Entering a trade with full risk might not be the best idea.

• So, you test the waters with a small position first, it could be ⅓ or ¼ of your total risk.

• So if the Breakout fails or whipsaws come, then you will only lose a small part of your overall risk.

• Then when position starts to go in your favor you can add to it.

3. It helps you to concentrate on a few trades,

They say that don’t put all your eggs in one basket, but don’t put them in too many either.

• See, Everyone can see charts and find breakouts, pullbacks etc.

Some people really benefit from hearing advice that everyone knows, for the same reason we keep schools open despite every subject in them having been taught before.

In that spirit, here's some quick Things Many People Find Too Obvious To Have Told You Already.

Your idea is not valuable, at all. All value is in the execution. You think you are an exception; you are not. You should not insist on an NDA to talk about it; nobody serious will engage in contract review over an idea, and this will mark you as clueless.

Technologists tend to severely underestimate the difficulty and expense of creating software, especially at companies which do not have fully staffed industry leading engineering teams ("because software is so easy there, amirite guys?")

Charge more. Charge more still. Go on.

The press is a lossy and biased compression of events in the actual world, and is singularly consumed with its own rituals, status games, and incentives. The news necessarily fails to capture almost everything which happened yesterday. What it says is important usually isn't.

Companies find it incredibly hard to reliably staff positions with hard-working generalists who operate autonomously and have high risk tolerances. This is not the modal employee, including at places which are justifiably proud of the skill/diligence/etc of their employees.

Gather round, Gentle Readers. It is time I tell the story of the worst decision I ever made in an office. Some of you have heard this. Some have not. Whatever you do in your office today, this week, the rest of this year, you can console yourself by recalling this tale.

A long time ago, I was a talent agent. I worked for a woman named Susan Smith, who had her own small boutique agency. She was known for three things:

1. She had fantastic taste in clients. If there is someone you admire, odds are good that at some point, she was their agent,

2. She could negotiate a deal like few who have ever trod the earth. Casting would give her all the money they had budgeted for that part, plus a little more, plus promising to get her dog Barnaby groomed. She was magnificent to watch.

3. She was insane.

I'm sure you're thinking, "Quinn, it's the entertainment industry, they are all insane." Yes, many are. So consider this; if you told someone you worked for Susan, people who worked for insane people would look and you and whisper, "I hear she's insane."