My assumption is that long-term user retention is a metric that's difficult to measure and optimize for, and so even if they claim to care, it ends up getting worse over time. If your experiment grows DAU by 1% but makes 0.1% of users leave over the next month, most of that 0.1% isn't even noticed in the week that the experiment is running, and a 0.02% drop in user retention isn't statistically significant. But then you ship 1 of those experiments per week for 5 years, and even though you grew your userbase 12x you end up with 25% worse long-term user retention than you would have otherwise. And then you don't even realize that because it's such a different product compared to 5 years ago that you brush off any changes over that timescale as "our new demographics are inherently less likely to stay and there's nothing we can do" or "society is changing how it interacts with phones and there's nothing we can do." Or maybe I'm being too generous and the reality is "there's definitely something we could do but we're too busy rolling in our fat stacks of cash to care"