Comment by alex7o

Not the parent but some actual practitioners. A change is based on the gut feeling, and it's usually correct, but the internal politics require to demonstrate impartiality, so an "A/B test" is run, to show that the change is "objectively better", whether statistics show that or not.

Feature flags tend to be all or nothing and/or A/B testing instrumentation can be used to roll out feature flags.

It’s complicated.

I’m aware of the distinction. A/B testing is the killer app for feature flags from the perspective of business decision makers.