Data Driven Investor

I think most HN'ers can appreciate the idea that the way we read technical news articles is distinctly different from how non-technical people (say, your Grandma) would read them. Two different parties can read the exact same article, but come away with very different interpretations. (Some of the reasons for this are obvious, but depending on the topic there are also others that are not so obvious.)

In the spirit of cultivating understanding of the differences between individual people with the goal of working towards a more harmonious, peaceful future, and also just for a little tongue-in-cheek fun on a Friday morning, here is a bit of insight into how (eye-catching key phrases excerpted) a distrustful-of-all-authority, possibly insane, unapologetic conspiracy theorist hyper-critically reads articles like this...

> Transparency is at the heart of everything we do at Twitter.

"transparency", "everything"

> That’s why we routinely disclose datasets of information operations we can reliably link to state actors.

"That’s why", "reliably", "link to"

> Today, we are sharing comprehensive data about 5,929 accounts which we have removed for violating our platform manipulation policies.

"Comprehensive"

> Rigorous investigations by our Site Integrity team have allowed us to attribute these accounts to a significant state-backed information operation on Twitter originating in Saudi Arabia.

I wonder what the terms "investigations", "attribute", and "originating in Saudi…

It's kind of funny that PWA was Jobs original vision for iOS apps with HTML5, before they came up with the walled garden cash cow approach.

> “The full Safari engine is inside of iPhone. And so, you can write amazing Web 2.0 and Ajax apps that look exactly and behave exactly like apps on the iPhone. And these apps can integrate perfectly with iPhone services. And guess what? There’s no SDK that you need! You’ve got everything you need if you know how to write apps using the most modern web standards to write amazing apps for the iPhone today. So developers, we think we’ve got a very sweet story for you. You can begin building your iPhone apps today.” - Steve Jobs/iPhone announcement Jan 2007 at macworld

https://medium.com/datadriveninvestor/2019-the-year-of-progressive-web-apps-3027aea291f9

What's old, is new again, 12 years later. It's how it always should have been. And guess what? There's no SDK that you need!! ;)

Nobody earns a billion dollars.

People who take your view that billionaires deserve their money because they "work hard" -- and I'm sure some of them do work hard -- usually don't realize how much money a billion dollars really is. An individual could never work hard enough or long enough or smart enough to deserve that amount of money.

- A million seconds ago was 12 days ago. A billion seconds ago was the 80s.

- With a 5% return on their wealth -- most billionaires actually make closer to 10% returns -- you make $137,000 a day if you have a billion dollars. So the poorest billionaires make more money in a day than 99% of Americans make in an entire year.

- https://medium.com/datadriveninvestor/you-have-no-idea-how-much-1-billion-is-4d0d985b726c

Nobody should have that much money. Nobody.

Here's a Medium post on Time Series Databases: https://medium.com/datadriveninvestor/what-are-time-series-databases-a3e847608f91 But basically, they are databases where the time dimension is a critical aspect of the data. They handle never-ending streams of incoming time-stamped data. Think of streaming stock prices, or streaming temperature data from a sensor. You want to be able to query your data specifically in a time dimension -- let's see the temperature fluctuations over the past 24 hours, including the mean. Stuff like that.

A 'normal one' is typically used for things like transactional data which adds, deletes, and updates data among linked tables. While these transactions happen in time, the time component isn't necessarily a critical dimension of the data.