But that's a policy issue, not a technical issue.
We HAVE to make some operative assumptions if we're going to have a repeatable process. We KNOW we won't be perfect. We've demonstrated that the membership we've heard from want us to be "more accurate" than we currently are. The policy question is, "How do we get appropriately close?"
I'd WAY rather make ONE set of assumptions, then let the numbers fall out for the individual cases, than to keep making new assumptions specific to make/model cases as they come up.
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