When looking at a large sampling of data across an entire population, we would expect to see a gradual accumulation of point mutations over time. And very rarely, some larger insertion or deletion event. None of this is new. We had all the tools to do this for over two decades. I was using Perl for bioinformatics 15 years back.
So given the assumption that we would see a gradual accumulation of point mutations over time, if we see any big changes appear out of the blue, that's a flag to investigate more closely at what happened. That's not "creationism" of any sort. Given that the point mutations give a very clear fingerprint, we can immediately find the most closely-related genome, which is why it was found to match a sample collected in early 2020. That completely breaks our expectations of it missing a whole 12 months of natural accumulation of point mutations. We might not sample perfectly--we might occasionally see two or even three point changes because we failed to sample those intermediate states. But to have a jump spanning dozens of changes--that's just not matching our existing expectations, particularly when we tracked nearly every Delta change.
Now that might be real. But the probability of that being natural is very, very low. Almost nonexistent. But the chances that this was stuck in a freezer and pulled out, skipping over those 12 months of mutation-gathering while frozen in a tube, are unfortunately a much more likely possibility.