Is this a censored-data problem or not?

Questions version agnostic
2

Sounds like a Truncation process: Truncation (statistics) - Wikipedia

We have an example here that shows how not handling truncation can cause bias in the estimates: Bayesian regression with truncated or censored data — PyMC example gallery