The idea is to act as a repeater, or like dynamically refreshed RAM, detecting and amplifying the signal at each copy before it degrades too far. You still have the error rate of reading and writing each time, but it's often cheaper to get the same error rate by refreshing cheap media than by using a more permanent medium.
Interleaved error correction (such as on a CD) kind of works as you describe, spreading out the error from a single physical point across the logical data so that it can be corrected by intact data elsewhere. This works because it's designed to recover from burst errors, corresponding to a localized scratch across the track.
https://en.wikipedia.org/wiki/Cross-interleaved_Reed%E2%80%9...
I recall working with a group of archivists where one camp was in favor of conversion to standard formats like PDF for certain documents, another wanted to preserve documents in the original format, and still another wanted to do both.
It’s a hard problem and purity of thought makes it worse.
I am not sure I understand. Isn’t the error rate zero? And wouldn’t you be using checksums to verify perfect copies?
As a side effect, this made me increase how much redundancy I used for data I really cared about.
I’d be more worried about disasters and budget cuts than cosmic radiation.
[1] https://recon.cx/2015/slides/recon2015-19-mike-ryan-john-mcm...
I think this is an excellent place for neural networks. They can preserve vast amounts of data compactly for many data types because they statistically compress high level abstract data which can then be used to fill in regions with high error rate, although if you did that at a large scale you'd probably end up with some constant error rate fluctuating around the average true value.
All indications point to the fact that we seem to be working against the unstoppable Force of entropy - indefinite error free preservation of data is ultimately impossible.