Rust in Android: move fast and fix things
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supportive
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positive
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tech
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Rust
Android
Security
Programming Languages
Google discusses the adoption of Rust in Android to improve security and performance, highlighting its benefits and future plans.
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Have fun justifying that Rust is "also" unsafe, with the right tools you can achieve the same in C++, if you're a great dev you can do even better, etc.
Personally I’m relieved that we’re starting to see real competition to the C & C++ duopoly. For awhile there all the new languages were GC, and paid for their shiny features with poor runtime performance. (Eg java, C#, Ruby, Python, lua, go, etc etc)
Rust is a fine language. Personally I can’t wait to see what comes after it. I’m sure there’s even better ways to implement some of rust’s features. I hope someone out there is clever enough to figure them out.
It can be annoying to write "safe" code, but once it meets a certain standard I can be confident in multithreaded applications I write.
I would like to use rust to write android apps. I don't really like the whole android studio java thing.
I expect that Google is using neither of these for most of their own code, but rather their own build system (which I think is the same between the languages).
I absolutely agree if you aren't Google though.
If I were to go to another company I’d promote using either of the above.
Proprietary code uses the internal version of Bazel: https://bazel.build/
For me the ideal syntax is C/Go, just to be clear what I like.
But I agree that the tooling that cargo introduced is a breath of fresh air in a world dominated by huge makefiles, libraries copied in the repository (I know, there is Conan, vcpkg etc)...
Rust has plenty of syntax coming straight from ML (okay, not straight, probably through OCaML)
Pattern matching, destructuring, expressions everywhere, etc are stuff that C/Go never even heard about.
But if I was working in C++ and had a choice of C++ or Rust, I’d go Rust based on this.
Go get this completely wrong! It use a tuple rather than an enum for potential errors. This means you can forget to check errors and just use the invalid (nil?) return value from the function.
On the other hand, rust uses the Either enum to force you to handle the error. Alternatively you can use the ? operator to pass it to the calling function, which is reflected in the enclosing function's type.
It's a product of functional programming, and for me I can't see how you would ever want to handle errors outside of the functional programming railway-oriented style. For me it's just superior.
It's absolutely possible to compute wrong pointer offsets. It's absolutely possible to dereference nil. It's absolutely possible to bork ownership and have multiple thread trample a struct. It's absolutely possible to reinterpret memory the wrong way.
I do agree that UAF is not possible (in most cases) due to the GC. That array indexing out of bounds is not possible. But it is by no means "memory safe" to the level Rust is.
This is specifically the one place where go is not memory safe IMO.
> It's absolutely possible to compute wrong pointer offsets.
In Go? Without the `unsafe` package (at which point you are explicitly opting out)? How? There's no pointer offset in the first place.
> It's absolutely possible to dereference nil.
Yeah, but that's safe defined behavior in go equivalent to "unwrap"ing a None option in rust. It reliably crashes. It's not like C where it's undefined behavior and you might crash of you might just corrupt random memory or have the optimizer make your code do something even stranger.
It's (really the lack of non-nil types) is one of many reasons why go doesn't produce as reliable software as rust, but it's not a memory safety issue.
> It's absolutely possible to reinterpret memory the wrong way.
Again, without the unsafe package? How?
>> It's absolutely possible to reinterpret memory the wrong way. > Again, without the unsafe package? How?
Again my go is rusty, but I saw quite a bit of shenanigans in go with pointer casting from what's essentially a collection of void*. However perhaps those casts blow up at runtime? I'm too used to rust where it's explicit where it'll blow up.
>> It's absolutely possible to dereference nil. > Yeah, but that's safe defined behavior in go equivalent to "unwrap"ing a None option in rust. It reliably crashes. It's not like C where it's undefined behavior and you might crash of you might just corrupt random memory or have the optimizer make your code do something even stranger.
Agreed. I conflated "safety" and "robustness" here. The existence of nil is a thorn in the language.
Thanks for the corrections!
Until you stumble upon the countless footguns. At least they generally don’t lead to memory unsafety, just garbage data.
Data Race Patterns in Go
I mean, at that point pretty much every language would be a decent choice.
>great error handling
why people so confident being so wrong???
I’m sorry if this comes across as dismissive, but I find it hard to take people seriously with complaints about syntax like this. Learning new syntax is really easy. Like, if you’re familiar with C & Go, you could probably learn all the syntax of rust in under an hour. The only surprising part of rust’s syntax is all the weird variants of match expressions.
Rust has some surprising semantics. Like how lifetimes work (and when you need to specify them explicitly). That stuff is legitimately difficult. But learning that if statements don’t need parenthesis is like - seriously whatever dude. If you want to spend your career never learning new stuff, software isn’t for you.
I picked up objective C about 15 years ago. The only thing most of my friends knew about it was that it had “that weird syntax”. It took no time at all to adjust. It’s just not that hard to type [] characters.
If you ever have to deal with lifetimes, then the verbosity goes up pretty significantly. And, dealing with pointers ultimately introduces multiple layers of concepts that you don't necessarily run into with C++/Go/Java.
Yet, with the type inference by default, rust can often feel shockingly terse. Doing collection manipulation is just as terse as any language you could imagine.
I think that's probably where complaints about syntax comes in.
C++ hides a lot of that complexity with move semantics, shorthands, autocoersion, and by making lifetime issues runtime problems. Languages like Go/Java/Python simply push everything onto the heap and try to avoid exposing low level memory semantics.
It's easy for me to see why someone wouldn't like rust. I think it's fine, but I'm also brain broken from perl and php.
I find rust generally more terse than both C and - especially Go, to which rust was compared upthread. Writing out lifetimes explicitly can be confusing. But I don't think it adds that much syntactic noise. Maybe 1/20 functions in my code have explicit lifetimes. That will confuse beginners, but I don't think its too bad once you're used to them.
> And, dealing with pointers ultimately introduces multiple layers of concepts that you don't necessarily run into with C++/Go/Java.
This is my #1 complaint about rust's syntax. If you ever need to interact with raw pointers within unsafe blocks, I feel like the language really fights you. It seems so strange, too - since unsafe blocks are exactly the place where it matters the most that my code is easy to read. Improving the syntax around pointers (for example by adding C's -> operator) would make unsafe blocks clearer.
That is an understatement. I can't think of a build system that has spawned more attempts to find something better than CMake has.
There have been so many people trying to make their own C/C++ build system and/or package manager out of sheer spite for CMake that it's frankly hard to keep track.
In fairness to them and to CMake, it's not a simple problem to solve. To truly know CMake is to wish you didn't, that way someone else would have to maintain it.
At least it knows how to use ninja though.
But I’d take cargo over any of this stuff. Cargo means I don’t have to think about compiler flags at all.
Distributing Rust software is the pain that it is mostly because of how Cargo works. It’s pretty much impossible to sanely distribute something that isn’t a headache for downstream to consume.
I’ve found it a joy to use compared to CMake and friends. How does it make it harder to consume something downstream? Seems easy enough to me - just share the source crate.
Are you trying to distribute pre compiled code or something like that? I can see how that would be harder - cargo doesn’t really support that use case.
How would you improve cargo?
That’s a nice concrete example of something that sounds simple but is a nightmare.
Let’s be clear: the goal is to distribute a tarball which the receiver can build. Crates won’t be packaged in the target host (that’s part of Rust’s design), so we don’t have any choice but to include them too.
But there’s no simple way of gathering all of these. “cargo vendor” fetches all transitive dependencies for all platforms. So if any dependency supports windows, you end up with 400MB(!) of windows-only dependencies, even if your project doesn’t target windows. This makes “cargo target” useless.
There’s “cargo-vendor-filtered”, a huge hack around this bug, but it’s also broke in subtle ways.
In the end, if you want to distribute a tarball which a downstream can build, you can’t. Cargo works online only.
Like I said: cargo is too opaque. There’s no command to generate a list of files that it would download for a build. There’s no command to fetch all “real” dependencies. It too opaque an monolithic, doing everything in one indivisible way. This is a great experience for the developer, but awful for anyone else.
Thanks for clearing that up. What problem does that solve? I've never tried to do that, but I can see how it would be a pain in the neck.
I wonder how hard that would be to fix. It doesn't sound like a difficult feature to implement in cargo. I wonder how amenable the cargo devs would be to adding something like that?
"Absolutely awful" strikes me as wild hyperbole -- you also meant it this way as well, right? What toolchains are not absolutely awful in your mind?
Cargo isn't perfect by any stretch of the imagination -- there are a few common complaints that people have and a bunch of sharp edges (most of which have a github issue that has been open for years), but... "absolutely awful" has to be hyperbole.
But that's just not how Rust works: it's trying to fit a square peg in a round hole, and it isn't Cargo's fault that you have trouble with it.
Cargo is a blessing for any source-available project. All bundled up, a `cargo build` away. Because don't you dare say CMake or autotools are better, that's just the stockholm syndrome kicking in because you're familiar with it.
Seriously, how a CMakeLists.txt can even be compared to a Cargo.toml file? One is imperative full of arcane conditions everywhere filled with boilerplate, while Cargo.toml is a declarative manifest of the package?
Though there is one very sore point when distributing software, and that is for distribution package maintainers, because the whole ecosystem has been built around the C model and dynamic linking. That is not even the fault of cargo, since Rust's ABI is not stable thus dynamic linking would not work most of the time. Another thorn is generic stuff, which needs to be monomorphized, and as such don't work with dynamic linking (without Box<dyn>); C++ actually has the same issue and is why there are so many "header only" libraries for it.
(doesn't mean it's not an improvement on C++)
I'd call it casting thought technically maybe it's not you might want to call it something else? You don't need transmute or leak. The issue is only 10 years old now https://github.com/rust-lang/rust/issues/25860
If the bar is "deliberately malicious code results in a segfault", get back to me when they fix
memcpy(0x10000, 0x20000, 0x10);
EDIT: and even that's being charitable; the Rust issue is viewed as a compiler bug which should be fixed.All the ways to coerce and poke the implementation of what should be safe constructs to produce unexpected garbage - and people spending time fixing the issues because they are treated as bugs.
It’s like the best possible advertisement for ”we enable soundness and correctness for all your programs.”
https://github.com/rust-lang/rust/issues?q=state%3Aopen%20la...
That being said, it would be pretty easy to implement some pointer semantics even in C that can do 95% of what Rust does.
Making a language with memory-safe pointers isn't hard. Making a language with memory-safe pointers that doesn't rely on sandboxing, a virtual machine, or other dynamic checks which produce runtime overhead--thereby disqualifying one from being considered for this domain in the first place--is nontrivial.
The only way around this would be to have a absolutely strict type system that defines the finite sets of data that memory can hold.
But for compile time checks, its not hard. For example, the I would do it C is that every pointer gets an optional permission id through some syntax when created. Any expression involving modifying that pointer needs to have the appropriate permission id stated, any dereference operation needs to have the appropriate permission stated, and free is only limited to the function where the pointer was created with malloc. Then any pointer created in assignment from an expression involving that pointer inherits the permission id.
So you simply have a system of tracing where memory gets used.
But all of this is overkill tbh, when you can just use existing static memory analyzers that pretty much do the same thing. And coupled with dynamic memory analyzers like valgrind with appropriate testing, you don't even need to do runtime checks within your code.
Plenty of people don't write Rust for additional memory safety, they write Rust because the features provided by it is overall very balanced & encourages developer to write code which handles almost all edge cases.
Then there are enough industry standards that are defined for C and C++, where Rust isn't even visible.
If you've actually written considerable amounts of Rust and C++, these statistics don't require justification. In my opinion it's completely expected that Rust code is easier to write correctly.
Let’s end the C era.
Swift Concurrency is a tire fire that not even their async-algorithms team can use completely correctly, and useful feature like typed throws are left half finished. The enormous effort the constant further bastardization of Swift takes, is at least in part the reason for the sorry state dev tooling is in. Not even a 4T dollar company can make a reliable SwiftUI preview work, in their own IDE. Variadic generics (a seemingly pure compiler feature) crash at runtime if you look at them the wrong way. Actors, the big light tower of their structured concurrency, are unusable because calls to them are unordered. They enforce strict concurrency checking now, but the compiler is too dumb to infer common valid send patterns; and their solution to make this abomination work in real codebases? Intro a default that lets _everything_ in a module run on the main thread per default!
</rant>
At the very least, the fact that IDE integration can tell you all kinds of stuff about what you're doing/doing wrong and why accelerates things greatly when you're starting out.
I don’t see a way around it, programming without garbage collection is hard, Rust makes it very clear very quickly, which is also the point, but this is at odds with making the learning curve accessible.
Yes, this is the biggest issue with Rust that I've seen; most language will let you do something wrong and then as you learn you get better. Rust will refuse to compile if you're not doing things correctly (and normally I would put 'correctly' in quotes but correctness in Rust is well defined).
The first time I tried to experiment with learning Rust was a disaster. I just wanted to decode some JSON and filter it, but -- oops! -- I don't own that variable. Okay, well I can pass it somewhere else mutably, right? But then that function does the work and returns something that... what's a lifetime? What's a 'a mean? How do I... screw it, I'll go back to Python.
Eventually, after the tooling and the tutorials got better I came back to it and really enjoyed what I've seen so far and even rewrote one of my own personal tools in Rust[1] to experiment with. It's nothing impressive, but it was fun to do.
Now, if they actually "see" it is another matter.
The logic in my comment wasn't that you need to have written considerably amounts of code to be expecting this, just that to not be expecting this would make me think you hadn't. If that makes sense.
On your second point, I think IDE integration for C++ is similar as it is for Rust. Just Rust errors and tooling are a million times better regardless of IDE.
The way it should work is that before even writing code, you design a modular acceptance system that runs full suite of tests or a subset based on what you are working on.
This is essentially your contract for software. And on a modular level, it means that it scopes down the contracts to the individual sub systems. And things like memory and cpu runtime constraints are a part of this.
If you have this, you basically replace what the Rust compiler is doing for you with tests. Memory leaks are caught. However, as a benefit, you also can verify changes in the dev cycle with things like performance degradation, all in the same system.
Getting rid of a whole host of bugs due to the compiler is a big deal because you won't have to design this extra acceptance system or deal with keeping an entire organization disciplined by it. If you can solve this seamlessly I think that's an interesting product that others would be very interested in.
This is just a matter of tooling. (On that note, here is a free business idea, prompt engineer an LLM agent that sets this up for you)
While the compiler does do a lot of things for you, you still end up with things that you should check because compiler doesn't understand your program logic. If Rust was a absolutely strict typed language, where basically everything had a type that defined what data it could hold, then it would be a different story. For example, when parsing a json into an object, instead of strings/numbers/bools, every single field has a finite set of values that it can hold. Then the compiler can figure out a lot of things. For example, if you try to convert a string to int, if the string field type doesn't have a defined regex expression it must match, then the compiler can catch this.
Anything less then that, you are better of writing the validation system once and reusing it for all your code bases now and in the future.
Anyway Google has all of that, and yet still finds this improvement.
Sometimes. It depends on what you’re working on.
Part of the fun challenge in writing software is that the act of programming can teach you that you’re wrong at every level. The syntax can be wrong. The algorithm you’re implementing can be wrong. The way you’re designing a module can be misguided. And you might be solving the wrong problem entirely! Like, maybe you spend weeks adding a feature to a game and it makes the game less fun! Oops!
Tests formalise beliefs about what you want your code to do, at some level of abstraction. But if those beliefs turn out to be wrong, the tests themselves become a headwind when you try and refactor. You want those early refactoring to be as easy as possible while you’re learning a problem space.
Now, some programs don’t suffer from this as much. If you’re implementing a C compiler or drop in replacement for grep, you have some clear acceptance tests that will almost certainly not change through your project’s lifecycle.
But not all problems have clear constraints like that. Sometimes you’re inventing a programming language. Or writing a game. Or making a user interface. In my opinion, problems that are fully constrained from the start are some of the least interesting to work on. Where’s the discovery?
I see you sir haven’t had experience with writing drivers for prerelease hardware. You’re right in these cases of course, you just aren’t right enough - the real fun starts when you can trust neither the hardware, nor the BIOS, nor the OS in addition to all the above.
Which is more that rust isn’t that safe in my mind, it’s that bugs are that prevalent. I never would have guessed that.
That 4x rate is very impressive too.
Great seeing all this data from a large big complicated codebase.
Despite all pluses on the blog, NDK only supports C and C++ tooling, same on Android Studio, and it is up to the community to do the needful work, if anyone feels like using Rust instead.
I could see the latter, although I'd still question whether they should be special cased in terms of a Rust dependency compared to bindings being hosted on crates.io.
Or maybe they should ship scripts that shell out to an existing Rust toolchain.
https://developer.android.com/ndk
I expect the whole Rust build process being part of Android Studio, including mixed language debugging between Java, Kotlin and Rust.
I expect all NDK APIs to have Rust bidding crates.
I expect that Android developer forums also care to support devs using Rust.
And anything else that I forgot to mentioned, that is provided for Java, Kotlin, C and C++.
[1] https://github.com/android/ndk-samples/tree/main/endless-tun...
You can use BSD Make instead of Gradle, isn't UNIX great?
So the NDK officially supports creating an APK just with a Makefile? That would be news to me (and great news at that).
It is possible to cobble together a build process that directly calls various Android SDK command line tools to build an APK directly from a C/C++ build tool without involving Gradle, but as far as I know, most of those invoked cmdline tools are deprecated and building APKs outside Gradle is not 'supported' by the Android SDK/NDK (e.g. it may stop working at any time).
The NDK team should take a long hard look at Emscripten to get some inspiration how native code development is integrated into a 'native-hostile' runtime platform.
emcc hello.c -o hello.html
...and it produces an output that's immediately runnable in a web browser instead of just a bare .wasm file which needs to be wrapped in a html with additional steps.E.g. emcc is a drop-in replacement for gcc/clang which can be used directly in a C/C++ build tool as a C/C++ compiler and linker while still doing the right thing (producing a runnable .html).
The NDK equivalent would be a gcc-compatible compiler wrapper which can do this:
ndkcc hello.c -o hello.apk
...such a simple and obvious thing to do, yet it doesn't happen because the Android SDK/NDK developers have no clue about developer workflows outside of their precious Java ivory tower.> and is a pain to prevent it from downloading the Java tooling and everything else that is already downloaded,
That's a feature, not a bug. It's trivial to install different emsdk versions side by side, each entirely self-contained and without polluting the system or requiring external dependencies.
The separate Java dependency also has been dropped a while ago, since the only remaining component that depends on Java is the optional Closure compiler step, and that comes now with an embedded Java runtime (as far as I'm aware at least).
Emscripten is again a perfect example of how it should be done: FFI calls into Javascript are trivial (it's even possible to embed JS code into C/C++ source files), and I can build a complete hybrid WASM/JS app without having to bring in a completely different build system that's completely alien to the C/C++ world.
It even works without any build system at all since the emcc compiler/linker wrapper is also the Javascript bundler, yet the entire emcc wrapper acts like a GCC/Clang compatible compiler/linker with some extra Emscripten specific flags. The Emscripten SDK didn't jump into existance like this, the difference to the NDK team is that the Emscripten team actually listens to their users.
I do agree the NDK team is rather small.
The point is about the official support for using Rust exactly for the same use cases.
In any case, I'm glad we're seeing more and more evidence and case-studies of why "rewrite it in Rust" isn't just a meme.
Binder kernel driver: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/lin...
Media codecs: https://www.androidauthority.com/android-16-in-process-softw...
> Rewriting SymCrypt in Rust to modernize Microsoft’s cryptographic library
https://www.microsoft.com/en-us/research/blog/rewriting-symc...
I think they're trying to avoid rewriting things for no reason though. The things being rewritten tend to have a history of security problems or other issues that would be cause for a rewrite even if it wasn't in Rust.
Chromium: Parsers for PNG, JSON, and web fonts have been replaced with memory-safe implementations in RustIt's all nonsense, but it would be hilarious if it weren't so ignorant.
How is any of that wrong?
2. You can still write bugs in Rust but the point is you are far less likely to.
They've also seen improvements in developer confidence and onboarding time, but not to the same degree.
I mean if you don't know what you are doing you are going to make mistakes that go beyond memory safety. Look at Log4shell for example.
Just saying "but you can still make mistakes" is dumb and irrelevant and it's kind of disappointing that it's such a commonly bandied non-argument that Google still had to address it in this post.
If people don't want to use the language then that's fine, no problem, but a lot of people do want to use the language because it's just a great language to use as well as having memory safety.
In other words, they're upset that a new thing isn't popular so they're trying to think of any argument against it, but none of their arguments are relevant. Yes, you can still write bugs in Rust; of course you can. What you can't do is write memory safety bugs in Rust, which are a huge proportion of security bugs that occur. Rust gives you a massive decrease in attack surface automatically.
This is ignoring the ecosystem, which is full of better tooling, better library packaging, better testing, and just in general an overall better language, but instead of trying to argue the language on its merits they're trying to argue that it's not perfect so why bother.
I've also heard the same arguments about C++; 'anything you can do in C++ you can do in C!', which is technically true but ignores the fact that if I want to do something C++ does it usually makes more sense to use C++ to do it rather than e.g. trying to hack the concept of objects, private methods, templates, etc. into C myself.
Multics got an higher security score than UNIX, thanks to PL/I.
During the USENET flamewar days, they used to call programming with straightjacket languages.
Also note how proudly they keep digging out Brian Kerninghan complains against Pascal, that disregard the dialects have taken out those issues, and that while Pascal was designed for teaching, Modula-2 was already available, taking care of those pain points, designed for systems programming.
That however is a very niche case where Rust is applicable. The anti-rust people (like me) aren't saying that Rust is bad. We are just arguing against its adoption for everything.
When you see shit like "[...] should be rewritten in Rust because memory safe", it shows that people have no idea what memory safety even is. There is this dumb belief stemming from lack of proper CS education that any code you write can just randomly have memory safety issues.
The downsides of Rust is that its ownership semantics are often cumbersome to write, which slows down development. Rust is also still evolving because of the stuff that happens under the hood. And for a lot of things, where network latency is dominant and cpu cycles are spent sleeping waiting for responses to come back, you don't need natively compiled code in lieu of python or node that are way more flexible and faster to develop in.
So in most cases, Rust is not applicable, when you can write perfectly memory safe code faster.
lol. this take is hilarious in the face of the article you are commenting on. holy cognitive dissonance.
> The downsides of Rust is that its ownership semantics are often cumbersome to write
skill issue
Lol, this is actually very ironic considering Rust is handholding you because you don't have the skills to write memory safe code.
Like I said in my other posts, Rust makes sense in very niche situations. The article just proves that it works for the niche case where its applicable. That doesn't mean Rust automatically wins.
There is this dumb belief stemming from lack of proper CS education that any code you write can just randomly have memory safety issues.
This is effectively true in C and C++ though. Show me a nontrivial project in either of those languages that has never had a memory safety issue and I'll show you a project that doesn't look at quality. Even SQlite doesn't meet this bar, despite incredibly skilled programmers and an obsessive commitment to quality.I mean, the linux kernel is a pretty good example. Static analyzers and things like valgrind exist for a reason.
[0] https://www.cvedetails.com/vulnerability-list/vendor_id-33/p...
I sense a lack of statistical education here.
For example: folks are more likely to rewrite stuff that is well-understood, and stuff that is well-understood is going to have shorter review times and lower rollback rate.
That gnarly horrid mess that only a few greybeards grok and has massive test coverage, a long tail of requirements enforced by tests and experience, and a culture of extreme rigor? Longer reviews, more rollbacks, and less likely to be rewritten.
I'd say that this is likely the most likely to be rewritten actually, because high test coverage is a massive enabler in such a rewrite, and because having a project that “only a few greybeards grok” sounds like a big organizational liability.
That being said, and while I'm pretty convinced that Rust bring massive benefits, I agree with you that these measurements shouldn't be taken as if it was a rigorous scientific proof. It's more of one additional anecdotal evidence that Rust is good.
But that means it's likely to be the worst kind of science:
- Group of people agree that Rust is good. This is a belief they hold.
- Same group of people feel the need to search for argument that their belief is good.
- The group does "science" like this.
And then the rest of us have a data point that we think we can trust, when in reality, it's just cherry picked data being used to convey an opinion.
Calling what Google did here "science" and cherry picked is quite a disservice. It's observational data, but do you have any objection to the methodology they used? Or just (assumed?) bad vibes?
This isn't that.
There's tons of observational science done in a very similar fashion to the article where there is simply no way to control for confounding factors for the same reason that there is simply no way to properly control for it in the data available.
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