Tag Archives: learning

remote work, productivity, and lazy kids today

I think this Fortune article (paywalled, but I was able to read it the first time I clicked) drawing conclusions about remote work based on productivity statistics is off base. Labor productivity, as I understand it, is dollars changing hands in the economy divided by hours people say they worked. There are a number of measurement problems here. First, in the short term it is just going to fluctuate with dollars changing hands, which fluctuates for all sorts of reasons, so it makes more sense to look at longer-term averages. Second, dollars changing hands is not a perfect measure of value – we could be paying the same number of dollars for crappier goods and services as our expectations are gradually lowered over time. I really suspect this is what is happening.

It does make sense to me that self-reported hours worked at home would be less productive. Even if most people are honest most of the time, some people are going to be less honest some of the time than they would be in an office. People are going to be more distracted. But in all these cases, they are going to report the same number of hours worked and get paid the same number of dollars they would have in the office. So there will be no effect on calculated productivity, while we get used to gradually shifting baseline of crappier goods and services over time.

I think another effect is that training and onboarding are getting harder in some sorts of jobs. Some jobs have a playbook telling a worker exactly what to do, but many jobs do not. In my field of engineering, there is not much of a playbook because we are often trying to apply existing knowledge to solve novel problems under changing external conditions. I learned this job in the 1990s and 2000s by spending a lot of extra time in the office at the end of the day shooting the breeze with colleagues, mentors, and clients. Somewhat frequently, someone would suggest moving these sessions to a local drinking establishment and they would go well into the evening. This was not necessarily healthy for work-life balance or for my liver and waistline, but it’s an important part of how I learned my job and industry and why I am good at it today. This time didn’t go on my time sheet, and yet it boosts my subjectively measured productivity today.

I don’t want to complain about today’s crop of young people, who are just as intelligent as my generation (perhaps more since they’ve been exposed to less lead and air pollution) and seem to have better health habits overall. But the combination of working from home, less informal interaction with mentors, and job hopping means it is much harder for them to learn to do jobs really well. In decade, they will be the ones doing most of the work and trying to train the generation under them, and again we will just get a gradually shifting baseline of lower expectations and worse outcomes, even if we may not be measuring that effectively in dollars.

learning curve for lithium ion batteries

Our World in Data has some numbers on the decline in price for lithium ion batteries.

Since 1991, prices have fallen by around 97%. Prices fall by an average of 19% for every doubling of capacity. Even more promising is that this rate of reduction does not yet appear to be slowing down.

Our World in Data

deliberate practice

Open Culture has a post with lots of links to ideas on the best ways to practice something new. Hint: just repeating bad habits doesn’t do the trick.

Psychologist Anders Ericsson, the single figure most closely associated with deliberate practice, draws a distinction with what he calls naive practice: “Naive practice is people who just play games,” and in so doing “just accumulate more experience.” But in deliberate practice, “you actually pinpoint something you want to change. And once you have that specific goal of changing it, you will now engage in a practice activity that has a purpose of changing that.”

So it turns out that experience and wisdom aren’t the same thing after all. I would say you can’t have wisdom without experience, but you can have experience without wisdom.

the Gartner hype cycle

The Gartner hype cycle plots technologies on curve from emergence to “peak of inflated expectations” to the “trough of disillusionment” and finally arriving at the “plateau of productivity”. For example, in 2014, they had quantum computing in early emergence, the “internet of things” arriving at the peak of expectations, big data crashing into the trough, virtual reality beginning its assent to the plateau, and speech recognition arriving on the plateau.