Truth
The past decade of the tech industry has felt very snakeoil-y.
INB4 “It always has been.”
What’s sad is there are plenty of actual problems out there that could be solved with software. Most of the time they’re not that ‘sexy’ and management is so blinded by greed that they throw away all the good opportunities.
How online ads actually work.
Very simplified TLDR: you visit a news site. They load an ad network and tell it “put ads here, here and here”.
The ad network now tells 300 companies (seriously, look at the details of some cookie consent dialogs) that you visited that news site so they can bid for the right to shove an ad in your face.
One of them goes “I know this guy, they’re an easy mark for scams according to my tracking, I’ll pay you 0.3 cents to shove this ad in their face”. Someone else yells “I know this guy, he looked at toasters last week, I want to pay 0.2 cents to show him toaster ads just in case he hasn’t bought one yet.”
The others bid less, so that scam ad gets shoved in your face.
That’s extremely simplified of course. https://en.wikipedia.org/wiki/Real-time_bidding has a bit more of an explanation.
And how you’re tracked online. I’ve worked on Google ads accounts every day for a decade and I don’t see you,the user, and your data.
I just click “female, 50+, likes home decor, uses a phone” and then a little business I work with bids 10% extra on you because they think you might be interested in their new autumn wreaths they’re super proud of, and Google think you fit that box I ticked.
And that’s advanced marketing for most businesses. Most businesses won’t even get into the audience side of things and they’ll stick to keywords: they’ll show you an ad because you searched for “autumn home decor” and that’s all.
Google take advantage of most advertisers by saying "let us be in charge of your keywords, and how much money you spend, our AI is smarter than you and you don’t have time!"And most businesses just use the automatic stuff because they don’t understand it, and it’s true, they don’t have time… so then Google takes your “autumn wreath” keyword and shows your ads to someone looking for “Christmas trees”, because they’re both seasons and they’re both plant related, right?
And then the small business gets charged $1 by Google to show their autumnal page to someone who wasn’t interested and left right away.
My job is to help these businesses actually make an advertising account that doesn’t fall for all these little bear traps that Google sets all over their ads interface. They weren’t there 7 years ago, but things have been getting worse and worse. Including third party sales companies like regalix, hired by Google to constantly call you and telling you to trust the automation and spend more.
The ad categories offered by various companies vary and I think adsense is nowhere near the closest-targetable network there is.
Try showing an ad to only Python software developers. Not IT repair shops. Not software developers writing exclusively C. I think you may be able to do that with keyword targeting on AdWords, once you avoid the bear traps you mentioned, but it’s hard.
OTOH, I bet there are ad companies that will help you target “30-40 years, single, lonely” for dating ads (that might be possible even with adsense), and definitely people with specific diseases to peddle medicine to them.
Occasionally someone posts a list of categories used by one or multiple networks and they can be the most specific, or far too broad (see: python dev).
I’m extremely surprised that I haven’t seen ad companies offering specifically to advertise to people working at specific companies. I’m sure it exists, just haven’t seen it. This would be incredibly valuable both for job ads, industry specific ads (this would benefit from breaking down by department), and also criminals and spies trying to get people from specific companies infected with malware.
What’s also important to understand is that these categories don’t need to be accurate. “This person has a 80% chance to be in category X” is more than good enough. Hell, 10% would probably already work.
The right ads pay really well. A life insurance click can be worth tens of dollars, because the conversion is worth thousands. So if there is a 10% chance you’re interested in buying life insurance, bombarding you with those ads makes sense.
It’s fascinating that the enshittification is taking place on both ends of Google. I would have thought that the slow bastardization of search was for the benefit of advertizers but it’s bad for everyone except Google.
That was always part of the enshittification formula. The final stage after exploiting users is to exploit business customers to the breaking point.
I’d be interested in the amount of electricity that gets wasted on this
My guess is that it’s a couple watts while you’re actively using the internet, mostly due to the extra CPU load a few bad ads cause when they’re on your screen. Without having done the math I expect all the servers, data transfer etc. to be negligible, on a per-user basis, because they serve so many users.
That’s another interesting thing btw. Most of the “internet thing X uses Y amount of electricity” are utter bullshit and massively exaggerating. What uses most power on desktop/TV is the screen. The second biggest consumer is likely your router (which is on whether you use it or not, but the studies usually ascribe all of the standby usage to your active usage - this makes sense if you try to look at “how much CO2 does all our digital stuff including ‘having an Internet connection’ cause” but not if you’re trying to look at “how much extra CO2 does activity X cause, assuming I already have an internet connection because I’m not gonna live in a cave”).
Don’t the fans use a lot of power? And wouldn’t a datacentre or server need a lot of cooling?
The server uses a kilowatt of power or more (most of it in the CPU). But if the server is serving 1000 active users concurrently, and only 5% of the time you spend online is spent fetching ads, 20000 people staring at their screens get their ads from let’s say 2 kW of server power usage, plus another 2 kW for all the equipment to get the data there… for a total of 0.4 watts per user.
These are completely eyeballed numbers, and could easily be off by an order of magnitude.
But your on premise gear (screen, computer, router) are likely by far the biggest factor.
One easy way to cross-check power usage claims is cost. It will only catch the most egregious bullshit, but it’s easy. A random page I found claims that “According to the American Council for an Energy-Efficient Economy it takes 5.12 kWh of electricity per gigabyte of transferred data.”
A Steam game with 50 GB would thus consume 256 kWh. Even if your 300 watt idle gaming rig, 50 Watt Router and 150 watt screen to watch the progress bar spends 2 hours downloading that, that’s 1 kWh. Even at 8 cents per kWh, that means just downloading the game would cost someone (not you) over $20. Do you think steam would let you delete and redownload that game that you bought on sale for $10 as much as you want if between them and your ISP someone had to pay for $20 just in electricity, each time? Not the game rights, not the servers, not the connection, just power.
::hugs my PiHole::
It’s a good start but you absolutely want in-browser ad blockers too. Not all crap is served from dedicated garbage serving hostnames.
I heard that (at least on YouTube) it isn’t only how high people bid but how likely someone is to click on your ad. Like if you have an ad they’re likely to click on you may get shown even if you bid less. You probably know more about it, I’m just sharing this because it sounded fascinating when I heard about it.
Those are different models. Ads can be sold pay per view, pay per click, or even pay per conversion (the store reports when the customer buys something and only pays for that).
These can be converted by multiplying with the estimated probabilities. For example, if the scammer is willing to pay $1 for the click, and the probability that the user will click is estimated to be one-in-500, the view would be worth 0.2 cents.
If the scammer is willing to pay $20 for the conversion (because it means they successfully scammed someone out of $30), they’d need to succeed scamming one in 20 users that clicked for this to work out.
Works the same for legit businesses of course, where the business will consider total lifetime value (not just the current sale - you might also subscribe to something and keep paying for 2 years, or come back to buy again). Advertising / customer acquisition costs are a huge part of many businesses, which is why running online ad platforms is so obscenely profitable.
In this case, I don’t know who in the chain will do the conversion - if the bid will be for a click and the ad platform will estimate how likely you are to click, or if the bidder makes the guess and bids based on that. The bidder in this case would be another ad platform of course, acting on behalf of the actual advertiser, and nobody in this “ecosystem” trusts each other. It’s full of companies trying to scam each other or companies offering services to validate that the data someone is feeding you is real.
I’d be interested in finding out why some of the ads I see (mostly in Android games I play where I voluntarily watch the ads for in game rewards) are so badly matched to me. I’ll get ads in Spanish when I only speak English. I’ll get ads for dating sites when I’ve been married for over 20 years.
Very few of the ads seem to be anything I’d even remotely consider. Not that I mind too much. I ignore the ads (sometimes even muting them) and do other things until they stop playing and I can get my rewards. Still, those very mismatched ads seem to be badly placed. Is it just that nobody else is bidding for this ad spot so “let’s play this Spanish ad for toilet paper” wins the rights to advertise to me?
That’s one possibility. It’s also possible that you have decent privacy settings keeping them from knowing too much about you, or they simply use a shitty ad network that’s bad at targeting. Even the major ones are impressively bad.
There also aren’t many advertisers interested in these ad slots since they know people watch them only for the reward, and games are also a frequent source of ad fraud (I think), so serious advertisers avoid them.
Also, mobile gamers are likely not the most attractive audience for the high paying stuff.
Supermarket employee here. We have a “fresh” fish counter selling stuff like whole mackerels and raw salmon fillets and the like.
Each and every one of these has been frozen at least once - this is a mandatory health hazard prevention thing (to kill off parasites etc) and also basically the only food-safe way to transport them in great quantities over long distances without them going bad. They get delivered frozen solid, get thawed behind the scenes and then put on display / on ice for customers to buy. And then they’re lying there all day long until someone happens to buy some … people still treat the pre-packaged fish from the frozen foods aisle as a second choice, even tho those have NOT been lying around half-thawed in the open air for 10 hours straight.
Long story short, “fresh” fish from the counter is less fresh than the frozen stuff, despite customers commonly believing it to be the other way around.
I’ve worked with massive customer databases of over a million people multiple times in jobs I’ve had. And while each company has spent tens-of-thousands of dollars in cyber security to protect that data from outside hackers, none have given any fucks at all about who accessed it internally or what they do with it.
I’ve literally exported the entire customer database in two different jobs, dropped the CSV into my personal Google Drive (from my work computer), and worked entire databases at home.
No one has ever known I’ve done it, cared, or checked if I have any customer personal data when I quit.
I used to be a funeral director. The majority of outsiders were unaware of pretty much everything we did. Often on purpose because thinking of death is uncomfortable.
The biggest “secret” is probably that the modern funeral was invented by companies the same way diamond engagement rings were. For thousands of years the only people who had public funerals were rich and famous. It was the death of Abraham Lincoln that sparked the funeral industry to sell “famous people funerals at a reasonable price”. You too could give your loved one a presidential send off! The funeral industry still plays into this hard, and I’ve found many people are simply guilt tripped by society to have a public funeral.
You didn’t talk about how coffins are sold for many thousands of dollars when they are just cheap plywood boxes that shouldn’t cost more than a hundred bucks and that serve no purpose other than to decay as quickly as possible.
While I do think expensive caskets are a waste of money, they’re actually one of the least marked up products sold at a funeral home! Typically, caskets and urns are sold for twice what they’re bought for wholesale. This is mostly because anyone can sell caskets and urns so they can’t have ridiculous markups or people will go elsewhere for them. Urns for example are almost always bought off Amazon instead of at a funeral home.
The products with the highest markups were insurance based. Estate Fraud insurance (if someone steals the dead person’s identity, the insurance company will pay any costs involved in correcting it) and Travel insurance (if you die on vacation, the insurance company will pay any costs involved in bringing the body home). Both of these insurance policies had real costs of about $10 or $20. They’re often sold for $300 to $500.
That replacement infrastructure being installed in your area was PE stamped decades ago. It is quite possible he/she who did it has died at this point. All the mistakes they made are still in there and getting replicated with each upgrade. If anyone tries to fix anything it will be an uphill battle. Parts are specified that don’t exist so without eBay nothing would get shipped.
The person managing the project is in sales and their degree is probably in English Lit. Sometimes you get lucky and it is a construction worker. Their boss is the mayor’s nephew and has the contract because of a rule that stuff used in local area must go through a local company. An example: a replacement part that we sold last month was for 2,200 dollars. The local company charged 11,500 for doing nothing except repackaging the part. A big fuck you to the Arizona tax payer.
All your infrastructure is using way more electricity than it needs. We can’t get anyone to shift over to more efficient systems because that would involve effort on their part. We also can’t get them to upgrade the service, instead we just have to find by trial-and-error what parts can deal with under voltage. Code has to be designed to deal with the frequent brownouts because no one wants to pay for a generator. Speaking of code the number of times I am asked to give people a printout of code is much higher than you would expect.
Global warming is ripping us a new one. Everything is flooding that shouldn’t be flooding plus heat is everywhere. Waterproofing and heat upgrades are taking time because the original specs have to be updated. Which can’t happen because they don’t want to get the PE in to stamp it. Because that would make the project cost more eating into sales.
In short everything keeping you alive. Your water, garbage/recycling systems, sewage, trains, traffic signals, and roads was designed by better minds who are now dead. Everything now is a mixture of nepotism and short term self-interest trying to blindly copy what didn’t even work that well to begin with under new conditions. If you want a job for life go work in infrastructure, if you want to be happy with your life go work in anything else.
Oh you might be wondering how is it we all haven’t died from choleria and rabies infected garbage rats by now. The answer is simple. The very lowest paid people, the operators and maintenance crews, are actually good at what they do. Perfect? Hell no, however they get the job done. Which you wouldn’t know given how hard the government is working to cut their pensions and not increase their salaries but there it is.
It would be immensely useful to mention what country you’re talking about, because while this issue may exist in every nation, it also may not.
If nothing else, it would be nice to know what region your insider info comes from :-) Spain?
He’s mentioning Arizona, so I guess he’s from the US.
Many European language versions of anime and games are being localized not by translating the original Japanese, but the English.
Lots of translators also seem to use Google or DeepL, which makes the issue even worse.
The English language version often don’t even translate, they write their own version, calling it “creative liberty”. This leads to a completely different version than what was intended, with others, such as the German or Spanish version, being even further from the original.
That’s why claims of people of having “learnt Japanese from anime” are dubious in the best of cases.
Source: Am Japanese, working in game translation in Tokyo. I’m also trilingual, which makes it even worse to watch this. Ignorance is bliss.
Shout out to Banjo Kazooie, an older platformer from the Nintendo 64 game era, where the antagonist always speaks in silly rhymes. So the translators needed to translate and also make it rhyme while also keeping the context and humor intact. They took creative freedom of course because there simply isn’t a good match but it actually enhances the game in a way. So if you played the game in French before and now switch to English you’ll get a fresh set of jokes and rhymes.
Do you have any tips on learning languages?
One of my friends who is really good at learning languages watches a lot of crappy daytime TV in the language they are trying to learn. He tells me that those shows present a lot of bullshit situations that you can understand with your eyes while you can try and put together with the dialog. I have heard of more then one person learning english by watching TV game shows
Printed comics (in native language are also really good), paticularly those aimed at a younger audience (think Walt Disney classics like Mickey Mouse or Donald Duck). The phrases are usually short and use everyday language. The graphical design (colors, postures, framing, fonts, panel alignment, etc) are all in support of conveying the action.
As a paramedic, if you can’t remember your name, address, and social security number, we’ll take you to the hospital but you probably won’t get a bill. Unless you tell the hospital, then we’ll get a face sheet. Stay Safe, John and Jane Doe.
The SLA on any product is not a guarantee the platform will be fixed in that timeframe. At best it is wishful thinking.
Sla is?
Service Level Agreement, typically a legal contractual requirement. SLAs can vary, but a common one is for a service to be online and accessible. Web hosting providers that host web sites for companies typically guarantee that their service has an SLA of 99.5% uptime, meaning any time the service is down, the engineers and incident teams need to restore operational services quickly. A breach of SLA invokes financial penalty to the provider for violating the contract uptime guarantee.
With most pre-written SLAs, the penalty is something like “we’ll refund the service cost for the month” at best. So it’s “we have a financial reason not to fuck up” not “you will be made whole if we fuck up and your business is down”.
The SLAs are also often tied to SLOs (the quality they promise to deliver, e.g. “we promise to be up 99.5% of the time”) that are very generous for the service provider. If your critical service was down 3.6 hours in a month, that would still meet a 99.5% SLO. So if your business was down for 2-3 hours per month, that would be a-ok. Only if it was down for say an entire day, you’d get (depending on the contract) typically either a day or a month of service refunded.
I’d take a provider with no SLO but a good track record over someone that offers an SLA. If they fuck up the month of refund is going to be the least of my problems, and if they fuck up repeatedly, I’ll have to emergency-migrate away to a different provider either way.
The USA is run by unpaid 22 year old interns being supervised by underpaid 24 year olds.
Old people in charge are definitely a problem (McConnell, Feinstein etc) but the people in their offices doing all the heavy lifting are basically children.
Software Engineering. Most software is basically just houses of cards, developed quickly and not maintained properly (to save money ofc). We will see some serious software collapses within our lifetime.
Y2038 is my “retirement plan”.
(Y2K, i.e. the “year 2000 problem”, affected two digit date formats. Nothing bad happened, but consensus nowadays is that that wasn’t because the issue was overblown, it’s because the issue was recognized and seriously addressed. Lots of already retired or soon retiring programmers came back to fix stuff in ancient software and made bank. In 2038, another very common date format will break. I’d say it’s much more common than 2 digit dates, but 2 digit dates may have been more common in 1985. It’s going to require a massive remediation effort and I hope AI-assisted static analysis will be viable enough to help us by then.)
How many UNIX machines in production are still running on machines with 32-bit words, or using a 32-bit time_t?
How much software is still running 32 bit binaries that won’t be recompiled because the source code has been lost together with the build instructions, the compiler, and the guy who knew how it worked?
How much software is using int32 instead of time_t, then casting/converting in various creative ways?
How many protocols, serialization formats and structs have 32 bit fields?
Irrelevant. The question you should ask instead is: how many of those things will still be in use in 15 years.
Windows, Linux, FreeBSD, OpenBSD, NetBSD, and OSX have all already switched to 64 bit time.
So they have a year 202020 bug then
I get the joke, but for those seriously wondering:
The epoch is Jan 1, 1970. Time uses a signed integer, so you can express up to 2^31 seconds with 32 bits or 2^63 with 64 bits.
A normal year has exactly 31536000 seconds (even if it is a leap second year, as those are ignored for Unix time). 97 out of 400 years are leap years, adding an average of 0.2425 days or 20952 seconds per year, for an average of 31556952 seconds.
That gives slightly over 68 years for 32 bit time, putting us at 1970+68 = 2038. For 64 bit time, it’s 292,277,024,627 years. However, some 64 bit time formats use milliseconds, microseconds, 100 nanosecond units, or nanoseconds, giving us “only” about 292 million years, 292,277 years, 29,228 years, or 292 years. Assuming they use the same epoch, nano-time 64 bit time values will become a problem some time in 2262. Even if they use 1900, an end date in 2192 makes them a bad retirement plan for anyone currently alive.
Most importantly though, these representations are reasonably rare, so I’d expect this to be a much smaller issue, even if we haven’t managed to replace ourselves by AI by then.
Tell that to the custom binary serialization formats that all the applications are using.
Edit: and the long-calcified protocols that embed it.
My dad is a tech in the telecommunications industry. We basically didn’t see him for all of 1999. The fact that nothing happened is because of people working their assess off.
My dad had to stay in his office with a satellite phone over new years in case shit hit the fan.
What is the basis for the 2038 problem?
The most common date format used internally is “seconds since January 1st, 1970”.
In early 2038, the number of seconds will reach 2^31 which is the biggest number that fits in a certain (also very common) data type. Numbers bigger than that will be interpreted as negative, so instead of January 2038 it will be in December 1901 or so.
Huh interesting. Why 2^31? I thought it was done in things like 2^32. We could have pushed this to 2106.
Signed integers. The number indeed goes to 2^32 but the second half is reserved for negative numbers.
With 8 bit numbers for simplicity:
0 means 0.
127 means 127 (last number before 2^(7)).
128 means -128.
255 means -1.Why not just use unsigned int rather than signed int? We rarely have to store times before 1970 in computers and when we do we can just use a different format.
Because that’s how it was initially defined. I’m sure plenty of places use unsigned, which means it might either work correctly for another 68 years… or break because it gets converted to a 32 bit signed somewhere.
Package management is impossible. When a big enough package pushes an update the house of cards eill fall. This causes project packages with greatly outdated versions to exist in production because there is no budget to diagnose and replace packages that are no longer available when a dependency requires a change.
Examples: adminJs or admin bro… one of them. Switched the package used to render rich text fields.
React-scripts or is it create react app, I don’t recall. Back end packages no long work as is on the front end. Or something like that? On huge projects, who’s got the budget to address this to get the project up to date?
This has to be a world wide thing. There is way to many moving targets for every company to have all packages up to date.
It’s only a matter of time before an exploit of some sort is found and who knows what happens from there.
For those in the US: no medical office dealing with insurance has a clue what they’re doing. Why can’t you ever “shop around” and get a price for your procedure? Because nobody really knows the price until they submit the claim. It’s basically impossible for a human to keep track of the policies that change daily across dozens of insurance providers along with the hugely complicated calculations needed to get a price. And that’s before they have software try to rearrange your claim to get the most money possible from insurance companies. And good luck figuring any of this out yourself; even if you manage to track down the policy data, it’s written completely in medical insurance jargon and might even leave some room for interpretation.
Basically, even with the insane amount of work medical coders (people who process and interpret medical claims and policies) do to try and stay on top of it all, at the end of the day, you have to just submit the claim to a black hole and hope that it gets accepted. The patient’s cost is whatever it spits out.
Also, dozens of doctors across the US get fired, banned from practice in their state, or have their licenses revoked every month. Some of them are unfortunate, like doctors being forced into retirement due to old age or physical inability to do their job, but many others get in trouble for practicing without a license, sexual harassment/assault, and, of course, prescription drug abuse. This data is all publicly accessible, but being on atrociously designed and maintained government websites, it’s nearly impossible to keep track of who’s in trouble without paying for third party software to do it for you. If you don’t happen to catch it, it’s pretty easy for a medical provider to move a few states over and set up shop like nothing happened.
Edit: Oh yeah, our company was very serious about HIPAA training and treated patient data with extreme caution. Some offices… really didn’t. It got to the point where we’d straight up have to reject ticket requests for having identifying information. Our ticketing system was secure on our end, no telling what was going on outside of it.
As a side note, for the trans people out there, don’t accept that you have to be misgendered on your medical records without a bit of a fuss. There’s special modifiers that specifically override restrictions on sex-based medical procedures when your reported gender doesn’t match their requirements. Unfortunately, whether your provider knows about or uses them is a bit of a toss-up.
On a brighter note, as stupid as it is that every single diagnosis has to be codified specifically for the insurance industry, there are some funny codes in there.
Some favorites:
- Bitten by a dolphin (specifically the first time. There’s different codes for a second bite and any more after)
- The weirdly specific set of codes for various injuries on different watercraft
- Of course, something stuck up your ass
Now there’s a new standard coming into effect, ICD11. The biggest complaint with ICD10 was the overly specific codes they had to keep track of. They did change things so that you didn’t have a completely different code for every single type of, say, dolphin injury, but they did add many more animals.
I’d like to know how getting bitten by a dolphin is a thing. Also, what is the difference between the first bite and the next?
I think it’s the first visit at the doctor vs. followup visits, not first bite vs. followup bites.
Magazines are routinely reprinting articles from the last year every year again, slightly changed. Especially timeless stuff like “Why is tick season so bad this year?” or “This is how you bake the perfect apple pie”.
Damn repost bots
There are stock news site that churn out “why did $STOCK move in $DIRECTION” filled with bullshit speculation. I bet it was mostly automated even before chatGPT and has gotten much worse now.
To be fair in this subfield even the articles written by real humans are often speculative at best. Stock markets are influenced by millions of individual decisions (most of which are in themselves carried out by digital algorithms) and there isn’t a single narrative responsible for a stock’s course. It’s much like the weather in that regard.
The development is certainly extant though. In newspapers many of the shorter, repetitive snippets have been machine generated for a long time now. I’m talking about summaries of sports matches with sentences like "but then just before half time scored to . You just feed the program a table with who scored goals at which minute and it generates it for you.
I have worked in the gaming industry and let me tell you that in some game studios most of the people involved in making the games are not gamers themselves.
Lots of programmers and artists don’t really care about the final game, they only care about their little part.
Game designers and UX designers are often clueless and lacking in gaming experience. Some of the mistakes they make could be avoided by asking literaly anyone who play games.
Investors and publishers often know very little to almost nothing about gameplay and technology and will rely purely on aesthetic and story.
You have entire games being made top to bottom where not a single employee gave a fuck, from the executives to the programmers. Those games are made by checking a serie of checkboses on a plan and shipped asap.
This is why you have some indie devs kicking big studio butts with sometime less than 1% the ressources.
Afaik even in other “similar” industry (e.g filmmaking) you expect the director, producers and distributors to have a decent level of knowledge of the challenges of making a movie. In the video game industry everyone seems a bit clueless, and risk is mitigated by hiring large teams, and by shipping lots of games quickly.
I’ve been a game programmer for >10 years and I would be fucking miserable if I spent most of my free time with video games as well. Isn’t that what we call work/life balance? And from my experience, most game devs either stop being “gamers” at a certain point, or they burn out and quit the video game industry.
That being said, almost everyone I know from gamedev is really excited about video games, and they have a ton of experience, even if they are not playing games in their free time anymore. It could be because I’ve only worked for indie projects and small publishers.
Taking an ambulance to the ER does not ensure that you will be seen faster. A decent chunk of ambulance patients go right out to the lobby to wait like everyone else because everyone is triaged based on their illness or injury, not their mode of transportation.
This is fact. And to add to this, its actually better and you will be seen quicker if you drive/have someone drive you to the hospital if you are gunshot or have a major stab wound. The chances of survival are much better then waiting for an ambulance. And if you are in that situation, speed as fast as you safely can. IF you get pulled over make sure the cop knows the situation so they can escort you to the hospital.
This is VERY country specific. In some countries ambulances focus on fast transport with minimal care in the ambulance (IIRC this is the case in the US), elsewhere they can provide significant first aid while on the way. If it takes you 15 minutes to the hospital and the ambulance needs 10 to get to you and 10 to the hospital, you’ll be at the hospital 5 minutes later but will receive care 5 minutes sooner.
In Germany the ambulance will have what I think would be equivalent to one EMT-B and one paramedic, but a emergency physician may be brought to the scene with a separate car.
