Originally Posted by
seawolf
Still not following how collecting data set will drive any understanding of enrollment centre (EC) role in approving renewals and waiving interviews.
The only conclusion that can be made is the programming for generating the letter header is:
- IF conditional approved, print Sterling, VA ELSE
- IF final approved, print the most recent interview location.
This programming will effectively render EC's role (if any) impervious to attempts at reverse engineering the process thru crowdsourcing.
But let's say, for a moment, your theory is correct and last EC plays a role in renewals prior to an interview (despite CBSA published documents indicating otherwise in earlier posts) and we crowd source certain ECs are more lenient with issuing final approvals. How does this knowledge help a renewal applicant (eg I can't affect which EC a renewal application goes to)?
Two ways:
1. I'm interested, so knowing would help me and whoever else is. Understanding the system better is generally helpful for navigating it, even if the application is not immediate.
2. If I'm renewing and discover, to make up a fictional example, that lots of people who last interviewed at Port Huron are getting their renewal interview(s) waived or are receiving conditional approval soon after application, then if I get conditionally approved (renewing or first time) and live in the area, I'm going to schedule my interview there instead of in Detroit, in the hope that it will be me next time.
To answer your first point, crowdsourcing can't definitively determine causation, but it can certainly highlight correlation. If certain enrollment centers can be correlated with interview waivers and short application turnaround times, that is information worth knowing.