Upd: found an experiment that strengthens with my point:
https://news.ycombinator.com/item?id=49823933; leaving the below unredacted.
(Sigh) And what exactly does it show? What makes you think you interpret the statistics correctly?
It shows a correlation that suggests - at best - that certain design patterns decrease friction and increases duration of engagement, making system more captive. It does NOT show that those design patterns are captive (= are a problem) by themselves.
Have those mountains of telemetry ever included an experiment where the addictive component was intentionally not present or maybe even designed to be anti-addictive (next element becomes increasingly less likely to be interesting/relevant past some threshold, frustrating the viewer) but the endless scrolling remains, so we test on its presence alone? Ideally, with an engagement-optimized feed as a separate control.
I don't know of such experiments, so I cannot counter your point with a definitive proof. But your interpretation isn't a proof either - there are multiple factors and no control to tell them apart. Those mountains of telemetry didn't have a goal of isolating factors to determine their actual effect, they just had to optimize engagement, find the best combo that works.
If someone ran something like that - I'd love to hear about it, and what they show. I'm utterly confident (as someone who had dealt with various addictions) that it'll show endless scrolling would have mild effects at best (maybe just a bit longer engagement compared to classic pagination as telemetry suggests, but I expect it to pale in comparison to an actual addictive/engagement-increasing feed source logic).