The question is why data corrections favor a particular theory, not how data is used in evaluating a theory. This just isn't relevant to the data correction process.

Researchers go looking for errors in data that conflicts with Jones’s theory. Data that falls in line with Jones’s theory, on the other hand, goes unremarked and uncorrected. This explains why data corrections favor Jones’s theory.

It doesn’t matter what researchers expect ahead of time, because we're concerned with what happens after data is collected. This doesn't tell us why data corrections align with Jones’s theory.

This may be true, but why do researchers mainly correct errors in such a way as to bring data in line with Jones’s theory? This doesn’t tell us enough about the data correction process to know.

So why do data corrections favor Jones’s theory rather than these other theories? If anything, this only complicates things now that we know there are other theories to choose from.