These copper thieves are almost always hardcore drug addicts. The “inequality” explanation is incorrect. A failure to recognize that has grave consequences for everyone.
I dealt with millions of dollars in chargebacks with Stripe. We sold tickets, they're easy to re-sell and our customers were tourists visiting shows from all over the world.
Stripe Radar was not a good product. It would score large numbers of very suspect transactions at a risk level of 1 or 2 (out of 100). I don't have an ML background, but something about their methodology was just flawed. It behaved as if there was a wire loose in it. Unfortunately, I don't think they're very incentivized to care.
You can get the seats into "baskets" (reserved) in minutes. In my experience they will not sell out for some time as they usually keep dropping back into inventory. "Sold Out" is a matter of opinion. There are usually lots of single seats left sometimes for weeks or months. The promoter decides when to label the event as "sold out".
Having built a ticketing system that sold some Oasis level concerts there's a few misconceptions here:
Selling an event out takes a long time to do frequently because tickets are VERY frequently not purchased--they're just reserved and then they fall back into open seating. This is done by true fans, but also frequently by bots run by professional brokers or amateur resellers. And Cloudflare and every other state of the art bot detection platform doesn't detect them. Hell, some of the bots are built on Cloudflare workers themselves in my experience...
So whatever velocity you achieve in the lab--in the real world you'll do a fraction of it when it comes to actual purchases. That depends upon the event really. Events that fly under the radar may get you a higher actual conversion rate.
Also, an act like Oasis is going to have a lot of reserved seating. Running through algorithms to find contiguous seats is going to be tougher than this example and it's difficult to parallelize if you're truly giving the next person in the queue the actual best seats remaining.
There are many other business rules that accrue after years of features to win Oasis like business unfortunately that will result in more DB calls and add contention.
Huh, I got attacked from 170 countries last year (HTTP) and Cloudflare's autonomous detection (machine learning powered) rules did almost nothing. It was millions of the same requests over and over and the only thing that we could do to stop it was manually put in rules to block routes. Not only that, some of the attacking traffic came from within Cloudflare workers or it was at least going through their WARP client (those details are now fuzzy). Was a pretty miserable failure to perform on their part.
This guy's article would lead you to believe that number is closer to 8%.
A problem with this whole discussion is that "homeless" means people that are sleeping at friends' houses etc, but to the average citizen when they're complaining about quality of life issues caused by the homeless they are referring to the subset of homeless people that are "unsheltered".
I don't believe these papers/studies, etc. that continue to purport the plague of the unsheltered is caused by the cost of housing. All I have to do is walk down the streets in Los Angeles and it's very obvious the vast, vast majority of the unsheltered here have a substance abuse problem. Another smaller minority have serious mental illness and some seem to be just anti-social who want to live outside the bounds of society.
The reason these people are not living with relatives isn't "explained by the inability of the family and friends of potentially homeless people to afford extra living space." It's because they have burned through all ties with friends and family as a result of their drug use.
The unsheltered go where they can do their drugs unbothered and even get a lot of free services.
Los Angeles LAHSA (the department tasked with tackling homelessness) budget has ballooned from $75 million in 2016 to a whopping $875 million in 2024. Anyone with a pair of eyeballs can see how all that spend has actually made the unsheltered problem worse based on our existing policies and likely is just attracting a lot more drug addicts.
What do you believe was incorrect? I asked Chat GPT 3.5 and 4 this question verbatim, seems they both gave the correct answer: it is taxable income. 4 was very thorough. 3.5 not so much.
I think there are a lot more potential buyers of $38M companies than $380M companies, particularly if the burn rate is low. There are a lot of exits in this range in the B2B software space to private equity types of co's that are rolling up companies in a particular vertical.
Very cool. Is there an easy way to easily toggle on/off various scenarios like "pay for private school for my children" to see how that affects wealth? I didn't see a way to do this without copying a whole plan.
My financial advisor does this with emaplan or blackmountain (or something) and I don't have access to this feature. It's very annoying and an incredibly important part of financial planning.
I have experienced the same. An absolutely ludicrous set of suspicious data points like that and Stripe scores it a zero or near zero. We process hundreds of millions of dollars in transactions. Have gotten zero help from Stripe on this scoring.
Does this allow you to use existing PDFs as "templates"? We do that a lot with PDFs. It allows end users to design in Adobe Acrobat and upload to our product. We can then inject dynamic data into placeholders at runtime. We do this for text and images.
Adding in a machine boundary does not guarantee loose coupling. If a dev does not have the skills to make a loosely coupled monolith, how they can they suddenly have the skills to make a collection of loosely coupled services running on more machines? That same low skilled dev is going to have to deal with a lot of other complexities now...
Not true at all. As a user of AWS and Azure, I can say that I prefer the latter and it is gaining rapid market share. As a CTO I see a lot of resumes every week and there are plenty of startups being built on .NET
I was actually bearish on MSFT about 10 years ago, but since Ballmer has been gone I have seen a big improvement in cloud, developer tooling and a clearly different attitude towards Linux and open source software. Very confident in .NET now.