This feels like the philosophical conclusion that Kafka Streams has made, i.e. you don't have a strict watermark, and if you really want you can theoretically keep updating and retracting data forever, and build a pipeline that magically stays in sync.
Partially, in my understanding, but not fully. An advantage of bitemporalism that is hard to recreate is queries about past and future states of belief. "What do I believe is true today?" works well with accumulation and reaction and with standard normalised schemata.
"What do I believe I believed yesterday?" is slightly harder and needs additional information to be stored. You can rewind a stream and replay it up to the point of interest, but that can be quite slow.
"What did I believe today would be, last week?", "What is the history of my belief about X?", "have I ever believed Y about X?" etc are much harder to answer quickly without full bitemporalism. So too the problem of having implicit intervals that are untrue, which is where "updated at" can be so misleading.
