And so am I.
That's why I am calling your bluff.
No matter what typical engineering theory and practice says, you can't deny the fact that something as popular as an iPhone, with millions upon millions of users doing WAY different things with it, and with millions upon millions of those users' batteries experiencing almost as many different charge/discharge cycles and habits (some people tend to always deep-cycle their batteries, some people tend to always top-off their batteries every night, etc.), are going to form a dataset that has millions upon millions of statistical outliers, with every ONE of them thinking that THEIR experience is THE one that should be "designed-for".
IOW, there is literally NO WAY that Apple (or anyone) can design a secondary-battery-powered device that has consistent, unit-to-unit performance, especially over-time that will "please" everyone, regardless of their usage or charging habits (or the luck of the draw of their particular battery). The statistics are just too "noisy".
And ESPECIALLY not with the variability of batteries. We just aren't that good at controlling all the factors that determine EXACTLY how a particular battery will perform, ESPECIALLY OVER TIME. It's at best a statistical crapshoot.
Garbage in, Garbage out. Not that Apple has Garbage batteries; but that our collective understanding of batteries in general is pretty much Garbage, when it comes to predicting what YOUR battery will do, ESPECIALLY OVER TIME.
Battery technology is fairly well established. You seem to be refering to data as a range rather than limits. In engineering, the bit in the middle is largely irrelevant. It is the 5/95 percentiles you design for.
I dont think you fully grasp the issue at hand here.
The proof against your stance here is in front of your eyes. If Apple didnt know about battery tech and had no idea what usage pattern to aim for, they couldnt have seeded this "feature" could they?