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An interesting listen https://darknetdiaries.com/episode/171/ about money laundering and spam in streaming services

I find that very believable. My completely unsubstantiated conspiracy theory is that OnlyFans is a money-laundering and dragnet-style-blackmail campaign for unlawful mass surveillance. I can’t imagine a normal or even abnormal person paying content makers, but I could imagine contractors and NGOs smurfing payments.

I have a friend who pays (or at least paid) for cam shows. I don't understand it either because there's so much free content, but then you have cases like the guy who murdered his parents because he'd sent hundreds of thousands of dollars to a cam performer who he thought he was in love with.[0]

0. https://en.wikipedia.org/wiki/Grant_Amato


And of course it's a Florida Man. There's got to be something in the water over there

> The Miami New Times claimed that freedom of information laws in Florida make it easier for journalists to acquire information about arrests from the police than in other states and that this is responsible for a large number of news articles.[3] A CNN article on the meme also suggested that the breadth of reports of bizarre activities is due to a confluence of factors, including public records laws giving journalists fast and easy access to police reports, the relatively high population of the state, its highly variable weather, and gaps in mental health funding.

Source: https://en.wikipedia.org/wiki/Florida_Man


Here's a take I did on the same thing where I create "stereo plots" (the cross eyed 3D thing): https://blog.k2h.se/post/stereo-plotting-in-r/ . Quite fascinating


Picking a neighborhood where you are relatively well off seems to usefully calibrate those assumptions. Maybe it has to do with status, which is relative.

Earning well and living in a regular middle class neighborhood of teachers, carpenters, and office workers, I don't feel stressed about keeping up with the Joneses I'm surrounded by. I can afford enough relatively (to my surroundings) nice things.

My social circle is not full of wealthy people, so living in a regular middle class area is also not low-status. I also feel like that the kids feel more secure about the things they do and have than they would be if they were always falling behind their friends, doing and having exactly the same stuff.


Yes living below your means is a key to happiness. Too many people end up pushing what they can afford without planning for tougher times.

I think one of the biggest positive impacts on me was my parents deciding to raise me until 16 in a developing country. They had a middle class income, but my country of origin they could afford to put me in the best schools and pay for plenty of out of school activity. That changed my mindset of what was possible. By the time I came back to Europe, I went to a free school, but performed much better than my peers, I believe mostly due to my own expectations for my future.


Or to PowerBI, which will any UUID to a string even in joins. That cast + string comparisons + killing of indexes is not conducive to performant queries...


It seems to me that large parts of the world -are- at war with Russia. And, importantly, we manage to put a lot of pressure on the enemy without getting even more people killed.


Agree! That, and (almost) everything is a vector... Which makes perfect sense for an analytics language.

Once I grokked that R became my default language for anything analytics.


That depends on the encoding, does it not? The binary sequence equal to ASCII "Hello world" might well be PII with many different encodings. By accident, of course, but nevertheless 33 bits of information would be enough.


I believe developers could be particularly good at identifying and communicating all required information from the start. We spend our lives thinking about how to pass information around, and get a lot of immediate feedback about it.

Think about it as a function: What arguments (information) would a function need to be able to return a value?


As a data scientist, I sometimes find myself going over 64 GB. Of course it all depends on how large data I'm working on. 128 GB RAM helps even with data of "just" 10-15 GB, since I can write quick exploratory transformation pipelines without having to think about keeping the number of copies down.

I could of course chop up the workload earlier, or use samples more often. Still, while not strictly necessary, I regularly find I get stuff done quicker and with less effort thanks to it.


Somewhat helpful for Shiny stack traces:

    options(shiny.fullstacktrace = TRUE)
You should be prepared to scroll a bit, but you might get the information you're looking for more often.


Thank you. I will give that a try next time.


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