Actions vs Results Mindsets

September 1, 2020
meaning, growth, values

One of the most important additions to my mental toolset is being able to step back and look at my own approach. I’ve come to categorize this in the following way: Actions mindset starts from the perspective “I am willing to take these actions.” And subsequently arrives at a particular set of results. Results mindset starts from the persective, “I want this particular outcome.” And subquently works backwards to what actions are necessary. ...


September 1, 2020
meaning, growth, values

Definition # Discussion # Too often, a tradition or perspective is thrown off for the sake of it’s condition as “pre-existing”. The fact that something is “pre-existing” is a process of natural selection. I seek to find the sources of greatest selection success and emulate them as a starting point. All of us stand on the shoulders of giants. Even the most creative geniuses were first students of their craft. ...

Social Media - Remember When?

September 1, 2020
psych, facebook, social

Social Media # I originally thought that social media was a great thing. I used it for pictures and connections, chat and events. Pretty much like everyone else. Once I started to work within the data space, I realized some of the implications. It took me until listening to Tristan Harris to realize how completely designed and intentional the entire system was. Why this kind of experiences had disappeared: ...


August 1, 2020
directives, learn

Heavily inspired by Sivers’ iconic “Just Tell me What to Do”. Directives are the what of life, while making the why available, but optional. Great examples: How to get rich How to like people My own: How to eat How to learn How to win


August 1, 2020
terms, definitions, concepts

Important terms to something similar to Sivers’ idea database: Russell Conjugation First encounter: Kayfabe First encounter: Overton window First encounter:

On Landing a Rocket on an Autonomous Drone Ship

December 1, 2019
logo, design, meta

“Do that which is meaningful over what is expedient.” - Jordan B. Peterson When I originally set out to learn about data, statistics, and analytics, I did so because it basically ensured that I would have high quality employment for life. If I had to dream of something of a stretch goal, I might have said that if I did incredibly well, I might land a position of exploring particularly interesting data in the financial sector for a startup or a hedge fund. ...