The problem really happens when you assume that what is helpful yesterday is the same thing that is helpful today. And they both can be different from what’s helpful tomorrow. Are you working out too much, because that’s just what you do? Most athletes have gotten to the point of needing to step back and admit that whoa, I shouldn’t actually run this week because my knee is pretty fucked up right now, and I kind of wish I took it a little easier last time. Maybe then I wouldn’t have gotten to where I am now.
I often think of Pareto efficiency in terms of decision making. The closer you get to the Pareto frontier (of the space of possible solutions), the harder it is to make any decision Pareto efficient. Meaning for almost all decisions, you’re going to have to sacrifice something. For instance when you do a big refactoring of a system it’s easy to get hung up on trying to preserve all features while adding a few new ones. In reality this is going to be extremely hard or impossible. If you can do it possibly it’s because you forgot to include some other axis in your analysis, like code complexity. It’s like pushing a balloon into a box. loss aversion may sometimes be explained by people trying to make Pareto efficient decisions. My conclusion from this silly example is that you should really think twice before assigning the responsibility of a functional area to a single person. A simple model for why buying decisions are so hard is that it involves Pareto effiency – market economy will drive out all TV’s that are dominated, leaving only the TV’s on the Pareto frontier. That makes it a lot harder as a consumer because now every choice will become a trade-off. Whereas in something like clothing there’s a lot of dimensions, so you should expect a more fragmented market.
but the aim is always the experience, not the measurement itself. A company understanding its nature is critical to its execution in context over time.
In addition to education levels, human capital models should consider factors like optimism, imagination, and hope for the future. It’s straightforward to measure a recession’s effects on employment and output. But what if the psychological impact of a recession is much more severe than we thought, to the extent that it could make a dent in long-term productivity growth This is the social risk: That the minds of many talented young people today will be permanently disfigured by this obsession with Trump embarrassments. have a vast base of knowledge to work with, when they’ll be able to make connections of facts on their own, instead of being taught some interesting rules and not enough content to practice them. The way to avoid this Girardian conflict is to direct our gaze outwards to the tangible things of the world.
The number of people who majored in computer science in the US isn't much higher in 2015 than in 2005. Why do so few students major in computer science?
That’s the promise: you will live more curiously if you write. You will become a scientist, if not of the natural world than of whatever world you care about. More of that world will pop alive. You will see more when you look at it.
A lot has shifted for me personally during my 365 days of Pome. I changed jobs and moved to a new city even more packed with writers than my last; full of readings and poems in the physical world. I have a new schedule, new rhythms. And I keenly feel the need to make room for fresh projects and ideas, not get too comfortable.
With about a minute to go, I opened up my AirPods, ensured they were connected to my iPhone, woke Erin up, and handed her one. She popped in the left, me the right, and we were able to share New Year’s together. We did so silently, with Declan sleeping between us, none the wiser. I’ll forget AirPods one day. I won’t forget the opening of 2017. With my little family, all huddled in one hotel room bed, celebrating together, each in our own little way.
it’s likely that the iOS team can crib their solution, platform differences aside. That’s very powerful, as it leads to us all speaking a common language, even though our actual languages are very different.
The first step to converting this to use Rx is to think of what the inputs and outputs are. What causes things to happen? What causes us to do a computation, or change what we present to the user?
My low paying, early morning, exertion requiring job
Five months ago, I picked up a new job: every morning, I wake up at 6am, hop on my bike, and transport 50 bagels from Beauty’s Bagels to Awaken Cafe. After a quick cup of coffee, I bike on to my next…