analyticascent

I appreciate you starting this thread, these are great resources people are posting.

Common Crawl is the data set to master if someone wants to use the fruits of web scraping without actually doing the web scraping.

In a weird way, I think Nintendo's approach is basically "Zero to One" to differentiate from competitors, but doing it with cheaper hardware to reduce costs.

I'm not a gamer, but from a business perspective I'm intrigued with their approach.

I'm still more of a Jitsi user (https://meet.jit.si), but this post is a great overview of how people have overreacted and not given Zoom credit for taking people's concerns seriously.

The list of a dozen things related to securing Zoom sessions is probably the most practical part of that Medium post.

For the most part, this seems like a good primer on what the territory would be for people entering this space.

I feel like the easiest "Hello World" for newbies would be taking a simple full stack app and interfacing Blockstack as the back end:

https://docs.blockstack.org/browser/hello-blockstack

But the information in that Medium post is great for those who want to know where to dive deeper for developing things from scratch.

I use an app that has that as a feature, but I personally never utilize it.

The main reason is that each time I take a moment to "think" about how I feel, my mood changes accordingly.

In a way it's like a self-inflicted Hawthorne Effect when I try to consciously track my mood.

[caveats to the Hawthorne Effect: https://www.nber.org/papers/w15016.pdf]

Another issue is that I'm not sure what to do with the information such an app feature would generate. For many, mood is the result of things that aren't within their control.

Not at all surprised that Marconi Union made the top cut :-)

"Ambient Transmissions Volume 2" is one of the greatest flow state albums I've ever heard:

https://marconiunion.bandcamp.com/album/weightless-ambient-t...

I'm deeply skeptical of any attempt to sort fact from fiction that is imposed on a user base rather than utilized by choice. Such a thing gives way too much power to the people who make decisions about what qualifies as "true"

Cases like this (where government is the "consumer" for the technology) make me think surveillance tech could be the law enforcement version of military spending on defense contractors.

Under what conditions should financial support from people who share an organization's thesis disqualify what that organization has to say on an issue?

Specifically, they take issue with the government creating demand for surveillance technology. Nothing unusual for a public policy organization that has Cato's perspective.

Amazing article, I had no idea there was such a huge scientific debate between (somewhat) competing organizations about the impact of various exercise methods, and how one side was caught bending data to the detriment of the other.

Hopefully the recent controversy won't drown out that other story. Fascinating read for anyone interested in study methods and data reporting errors.

Not only that, but using such a short time period would fail to distinguish Medicare expenditure trends and any other method of payment - which is why people look at the last few years of someone's life and whether that jump in costs is making any difference.

To extend your ER scenario, would that $100K expenditure be reasonable if it only prolonged someone's life by a year or so?

An interesting piece, this is an important discussion point when it comes to international healthcare policy comparisons. I like collecting things like these for a NLP project that outputs variables and methodologies used in a given study.

However, the title appears to be misleading.

If I'm reading that article correctly, it seems to say that we can't predict whether someone is receiving expenditures that are in the last year of someone's life - the general claim that roughly 25% or so of Medicare spending takes place in the last year of people's lives is still accurate.