You are right that we used compensation from before we had the systematic formula. However, we then repeated the exercise (of finding linear correlations with various COL indices) when we had a larger cohort but before the formula had been implemented systematically, and it still pointed to the use of the Rent Index instead of another index.
You're also right that we need the calculator to work worldwide, and I suspect that that may be part of the reason here that the calculator works well on that scale and then not always as well as it should on more local scales. We'll continue to explore how to get better on both scales; the challenge is always that we want to keep things as simple as possible also.
I've made two issues based on your comment here and the one where you shared specific data for Sacramento (thanks for that!):
You're also right that we need the calculator to work worldwide, and I suspect that that may be part of the reason here that the calculator works well on that scale and then not always as well as it should on more local scales. We'll continue to explore how to get better on both scales; the challenge is always that we want to keep things as simple as possible also.
I've made two issues based on your comment here and the one where you shared specific data for Sacramento (thanks for that!):
- https://gitlab.com/gitlab-com/organization/issues/23 to cross check BLS data with the calculator.
- https://gitlab.com/gitlab-com/organization/issues/24 to address the global vs local question.