Further, very few information sources are truly factual, and without bias?
This statement presents a false dichotomy. I could also say that no measurement of the temperature in Phoenix, AZ is "truly" accurate. However, they are accurate enough for our purposes.
To take it a step further, we can combine sources. We can use reasoning about the sources in how we combine them. These sort of study and technique is meta-analysis.
I don’t disagree that human communication is often an oxymoron, simply because of how bodies work. Until we get perfect brain-to-brain data transfer, we’ll always have to go through this messy mismatch between my perceptions and your perceptions.
And "this is where our model breaks down, maybe {big bang singularity, big bounce, etc} happened before it"
The big Bang (fast inflationary persiod in the early universe) is not one of those things? To my knowledge its well measured?
The engineering mindset tends not to care about the provenance of a model, only whether it's useful for a goal. We don't care about the why,unless the why is required for something we're trying to do