It's even hinted at in the article: "A significant connection between the parents’ level of education and entrepreneurship was also noted." The clickbait title confirming people's priors isn't surprising though.
If I had to guess at the causal graph it would something like:
smart -> income
smart -> entrepreneurship
entrepreneurship -> income
income -> entrepreneurship
And even without the last two connections the smart confounding variable would induce a relationship between income and entrepreneurship.
This is fantastic. I spent a lot of time looking into making my own podcast feed with audio of articles but never pushed through hard enough to get it working.
It's working perfectly on desktop but I'm having some trouble on Castbox. When I navigate to the link from the QR code Castbox can't find the feed.
Yes it could, although I'm not sure there is a single Prolog system running in production inside a large government agency at the moment.
Also Prolog does not solve all the problems related to programming the law, especially it doesn't have a nice way to handle redefinitions of variables with legislative exceptions as described https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3088206
The reason behind this is widely known. If you could easily scroll through their entire catalog as a list, it'd feel kinda like walking through a small, underwhelming Blockbuster.
The whole point of the UI is to give you this un-ending sense of abundance, ie. "You like 1980s action comedies? Scroll through 20 of them here! Like 1990s female-driven drama? Here's 10 we picked for you! Keep scrolling! We have everything!"
In reality, their catalog (while having about 10,000 items) is quite limited in terms of big name films and TV shows you'd recognize.
But in reality what happens is that it recommends the same shows over and over. So pretty soon the 50 or so shows fall into two categories. Things you have no desire to watch or things you've already watched. Making it feel like the catalog is _EVEN_ smaller than it already is. Why it puts things you have already watched into the normal categories when they are already in the "watch it again" category I will never know. Plus, if you happen to watch say horror/scifi/action movies, you will find a movie sitting in three+ different rows reducing the overall selection even further.
I sometimes scroll around on the wifes account to see if there is anything interesting there, because that is about the only place I ever see anything new on netflix. My account never shows me anything that isn't really bad b-movie fiction and documentaries. Where as my wife only gets the comedy and romance, the kids get all the "family" movies and animation. <sigh>
There is probably more there, but the only way to find it is 3rd party sites. If I happen to type something into the search bar there is pretty much a 99% chance netflix won't have it. At least on prime they seem to have a fairly deep catalog of older movies, even if 3/4 of them are pay per view.
This is even worse outside US where Netflix doesn't have the license for most of its catalog. The recommendations are 90% Netflix originals, 10% decade old or older movies, and 1 movie from last year. And the catalog is... the same.
Netflix is trying to bait you into watching their original series. Just yesterday on my Xbox app the continue watching section dissappeared from the screen. Gone. I had to search, which is a painful process on an xbox, for the show I was watching the day before, because it was nowhere on the front page. But boy where there a lot of "You might also like" type sections cluttering the screen instead.
They did this to drive you away from watching expensive (to license) content or to help drive down views for content negotiations. To limit exposure to how little they have in their catalogue. It has zero to do with anything else. It has now just been beaten into us as “okay,” when it’s not and never should have been.
You must be lovely to work with all that brilliant assumptive power you’ve got.
It's expecting companies to subsidize misguided government policies. For example, if the government restricts housing (and implements rent control) which drives up prices, why should companies pay more to make sure people can afford housing costs? How about runaway inflation?
There's always talk about market failures when many times government failures are the true causal mechanism.
After doing a ton of searching - and being extremely picky - I ended up writing a thin two way wrapper for sqlite and networkx. The only graph database that was easy to get started with that I felt comfortable using was Neo4j, and it's definitely not a sqlite equivalent.
I was afraid someone would ask. It's a minimal proof of concept that I did in a day for a specific use case. It's only for directed digraphs, only stores node attributes, and has zero tests.
If you still want to poke around: https://github.com/gfleetwood/nxdb. I just added comments and renamed some variables for clarity, so there might be errors.
If I had to guess at the causal graph it would something like:
smart -> income smart -> entrepreneurship entrepreneurship -> income income -> entrepreneurship
And even without the last two connections the smart confounding variable would induce a relationship between income and entrepreneurship.