Any language that makes use of mutation for primitive constructs (not saying that's the case here specifically) needs an understanding of "observing/causing change" pretty early on.
One counter-example is Mathematica. I can mutate any object any time I like, and doing so is extremely common. Yet under "pointer" its help tells me about some unicode symbols, and some GUI stuff about mouse pointers.
In reality, some of its lists are dense memory like C, some contain arbitrary objects (such as expressions, or high-precision numbers), but these implementation details aren't part of the language, and most users never know them.
In Mathematica's case (and most other languages, sadly), presumably the concept of 'variable' is overloaded with the semantics of a pointer/reference. Meaning, you cause and observe changes to locations via a variable.
0-based arrays are based on hardware implementations; 1-based arrays are based on abstract collections; you could make the argument that 0-based arrays are a leaky abstraction, but the question then becomes: what abstraction? C explicitly tried not to abstract away the underlying hardware.
Surely the point of any language at all is to abstract away some details of the underlying hardware. Both for portability and to make things easier for human brains. How much you should abstract away obviously varies, based on what you're trying to do, and on how varied the hardware is.
And it depends on how much computation & memory you can give your compiler. One reason new languages can have nicer abstractions is that they don't have to compile on 1970s hardware.
Growing up with BASIC, I didn't have any understanding of pointers or how memory worked. PEEK and POKE, which I only saw used in other people's programs and examples, were black magic as far as I could tell. It wasn't until I learned C that I actually understood them but I still managed to write a whole lot of programs without ever using them.
To be a professional programmer I'd agree though. If you don't understand how pointers work, regardless of the language you're using, you're probably not good at your job.
It just makes a point opposite to the author's intent.
Thank you for pointing out my error.
You may not need to understand molecular differences, but knowing hows fats, proteins, and carbs work, along with how to substitute ingredients, and different theories of cooking all help to actually understand why you can cook until mysteriously things don't work the same as yesterday.
Of course, following a recipe in specific ideal circumstances works, as long as nothing changes.
And when beginners won't be beginners anymore they'l have to learn how the underlying abstractions work anyway. A programmer that doesn't at least superficially understand how operating systems work is not going to be able to write performant or secure software, let alome combine those qualities.
You don’t have to understand the low level details to be productive at the higher levels, you just have to understand the interfaces.
I've worked with programmers like that. They can glue a lot of things together, but when the slightest of problems appears, they are absolutely lost with how to debug. They usually resort to making pseudorandom changes until it "appears to work", and are also unable to appreciate just how fast computers are supposed to be.
The kind of understanding you're rooting for relies on formal logic, not electronics.
We're all dealing with abstractions over abstractions at this point, so it's really about finding what model of understanding works for the learner and then going from there.