Note: I can’t believe it’s been 5 years since I first wrote my productivity hacking guide. I was a freshman at Berkeley when I published that article. Now I work full-time and still juggling various aspects of my life. A lot of productivity methodology has changed, and yet a lot has stayed the same. I’m rewriting this guide from scratch, and organizing the information in a more referential manner. That way, people can reference material that’s relevant to them and ignore everything else. I’m also releasing this guide in 5 parts, as not to overwhelm people too quickly.
Lately I’ve been needing more downtime. Downtime for me are activities that are low stimulation activities. Downtime include stretching, spacing out, closing my eyes (whether or not falling asleep), going on walks, and doing household chores. Downtime (for me) does not include playing video games, watching television, or browsing Reddit. As little as 15 minutes of downtime correlates strongly with an increase in my subjective well being.
The concept of downtime is a relatively new concept to me. I originally had a strong attitude against downtime. I didn’t believe in deep rest, and felt like doing hard work was sustainable. After going through 2 burnouts in my life (once in college and another during work), I’m willing to soften my claim now.
Something that you spend a lot of time doing benefits from even the smallest marginal efficiency. Sleep is a good example. Investing in good quality sleep pays multiple folds when you spend more a third of your time sleeping. Similarly, when your full time job involves sitting in front of a computer and typing, then you’re likely to experience death by a thousand cuts when you perform the same manual tasks over and over again. I’ve developed some useful keyboard customizations that I’m briefly going to introduce. I use laptops from the macOS ecosystem, so I apologize for those PC and Linux fans who are unable to follow along.
There are design patterns, algorithms, or techniques that are highly dependent on the agents that execute those patterns. The recent boom in neural nets in artificial intelligence was only enabled by the rise of fast GPU’s that run the back propagation algorithms. Sophisticated breakthroughs in sports have been enabled by more performant athletes who can execute complex strategies. Without some requirements on the executors, none of these things would work.
There is a design pattern that is highly agnostic to the executors, yet produce meaningful or effective results. This is particularly interesting to me because by working well DESPITE the dependencies, it gives more robustness to the design pattern itself.
2017 was a rough social year for me. I was having a hard time connecting with new people I met and making new friends. I attended a lot of social gatherings over the weekends with the mindset of talking and interacting with people in more fun and meaningful ways, but I always fell flat of what I set out to accomplish.
Social skills are hard to come by because if you’re bad at socializing, you’ll be conditioned to not like socializing. Not enjoying socializing in turn makes you worse at socializing, and you have a vicious cycle. I felt trapped in this vicious cycle since my self-conscious attitude towards my social skills would pop out in a middle of a conversation while I socially implode mid sentence.
Words decay as soon as they are invented. That’s because words and language are a distributed protocol to tie semantics (meanings) to representation (words). With so many people trying to communicate with each other, the distribution of these protocol are subject to chinese whispers and decay. This essay traces how words might change for the worse.
Stage 1: Neologism
The birth of words begins when there is a semantic (meaning) without a representation (word), so people invent a new word to “point” at the semantics. “Google” was a favorite modern word officially added into the English dictionary in 2006. It was a new verb that was used to describe the searching of information on the internet because no previous word existed to describe what the word “google” described. Words are saved because no one ever has to say “Why don’t you search it on the internet?” ever again. We say “Why don’t you google it?”. All is good.
I recently read a book called “More Than Two: A Practical Guide to Ethical Polyamory” by Franklin Veaux and Eve Ricket. I didn’t know about polyamory before, and always lumped “poly” people with the rest of the sexually deviant groups of society. Because polyamory is a relatively new concept for most of the monogamous world, the authors spend a great deal of time outlining a guide for navigating in the world of polyamory. The upside of being so detailed in helping neophytes navigate complex relationships involving more than two people is that I learned a lot about relationships in general. “More Than Two” is probably my favorite book for navigating my friendships.
Set is not a board game that leaves much room for luck. When an experience Set player plays with you, you’re almost certainly going to be destroyed.
Back in college, I had a friend who was really into this game. She would always invite me to play with her in our free time and I would get crushed every time. One day, I got sick of getting beaten, so I decided to intensely train and study Set for a week. After a week, I played a rematch with her, and won.
This guide presents some strategies for the game that I discovered. After guiding you through these incremental strategies, I will evaluate how much of an improvement each strategy makes the game.
Being smart by itself doesn’t get you very far in life. After all, when companies hire for senior or executive positions, they often care more about how much relevant experience people have over how smart candidates are. If I’m a company looking to hire someone to build a payments platform, I’m going to choose someone who has successfully done it before rather than a new grad who’s smart and eager to learn.
At the end of the day, companies care about results. Skills and experience that can deliver results are the currency of the intelligence economy. Skills to acquire more skills (metaskills) doesn’t do squat until you gain those value-delivering skills, which requires a lot of relevant experience that isn’t just sitting around like shoe boxes in a clearance aisle. Companies don’t like waiting 3 – 4 years with the hope that someday you’ll be in that position to contribute.
Intuitively, a game is some form of social interaction among players, guided by rules, motivated by points, and solved through strategies. However, unlike board games or video games, real life games come with arbitrary rules you didn’t make, bad players you didn’t choose, and strategies that you may not like. Real life games can be confusing, unwinnable, or plain unfair. We don’t like playing these games, but we don’t earn any points (i.e. things we value) by not playing them. I decided to codify some of the games I’ve observe in which players willfully resign into non-participation, resulting in losing points they could have earned.