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http://danielfmoore.com/interludes

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I think to reduce social media to some of the crappy jobs it does serve artificially diminishes what it can be.

I agree completely with this. The article takes two bad parts of social media and assumes that those are the only uses for it. You've mentioned more. There's also keeping connected in a group context with family and friends that are scattered across the globe. I have an active family group in which my family shares pictures of nephews/nieces, vacation, and more - all stuff that helps keep us close when we can't see each other for long periods of time. I have an active friend group with my college roommates that does the same - when one of them discovered that his spouse was having an affair, we could all support him together.

I agree completely with this. I have an Applied Physics Ph.D. and have a similar experience. I think that if you are getting a Ph.D. for a reason other than enjoying the learning and the education, then it doesn't make too much sense. However, if you have a great pleasure in the pursuit of the field and the research in it, then it makes sense to get a Ph.D.

We don't give enough credit these days to education being its own reward.

I wish there was more on the different types/uses of social media. Twitter != Facebook != Goodreads != HN and so on. Even within different social media there is varying uses - using FB groups to find affinity groups like Woodworkers or a shared hobby and more is very different than just doom scrolling the news feed. I didn't get through to the actual report (just the linked article), so maybe there is more there.

Agreed. But even RL is often difficult to transfer to other domains of knowledge.

Though I agree that this is an important next challenge (and causality has been the "next challenge" for at least the last 5 years), it's often more easily solved these days with mixing in human expert knowledge to the equation (that is, using ML alongside of human expertise).

I have a 5 year old who comes up with a new use for a pool noodle every time he's in the pool. A raft, an octopus, blowing water through it, a spy glass,... The simplest toys have seemingly infinite uses.

JMP was precisely my counterargument to this whole piece. JMP is an excellent data science tool when used correctly and allows for reproducibility. You can even call R from JMP if you need to do something that is easier in R.

Further, as others have commented, exploratory data analysis is much easier in an environment like JMP than it is in R - when you're just playing around with the data and trying to get a sense of it, it's much easier to make quick approximate graphs in a GUI than in a command line.

"It seems to me that it's not so much that war "is illegal" as "certain countries have declared a monopoly on force and have the means to enforce it.""

In some lines of thought, that's the definition of illegal...

I think this is a key point - too often, data "scientists" are brought in, given lots of tools, paid lots of money, and then told to just count things. And build dashboards that count things.

The data scientists that I have seen that are successful and bring the most value and seem to have the most satisfaction are those that spend time actually doing analysis and provide deep insights into the problems they are looking in to. The answers are the easy part - asking the right question is the difficult part.

When I was in grad school, this is how I traveled each summer with my brother and cousin. We'd pick a country and have our first night (maybe a couple of nights) accommodations picked out and then let the feel of the day guide us. Some of our best times were with random people we'd meet at the hostel and then travel around with for a couple of days before going our own way.

I tend to think that this is a product of the "newness" of technologies. Old technologies - such as paper, pens, flush toilets, etc. - lasted in part because they were robust and not-precarious. We don't remember the technologies that fell by the wayside along the way - they simply didn't last.

Google Data Studio 10 years ago

Agreed. PowerBI has so much more functionality - and more adding every month. And with the ability to use R to make charts, it has a lot more customizability.