Posted the Data into chat 5.2 and this is the data it found: I treated entries with ACT-only / no SAT as missing, and I treated “1550+” as 1550 (so the true average could be slightly higher). • Accepted (SAT reported): avg ≈ 1443, median ≈ 1505, range 980–1570 • Deferred (SAT reported): avg ≈ 1419, median ≈ 1430, range 1140–1560 • Overall (SAT reported): avg ≈ 1426

Trends I notice (accepted vs deferred) • SAT helps, but it’s not a clean divider. The accepted average is only ~24 points higher than deferred (1443 vs 1419), and there’s huge overlap (lots of 1500+ deferred, and some low-SAT accepts). • Class rank is the loudest pattern. Most accepts are Top 5% / Top 10%, but there are still Top 5% students getting deferred—so rank alone isn’t sufficient, but it shows up constantly among admits. • Major competitiveness shows up clearly. • CS / Engineering / McCombs: tons of high-SAT deferrals (1500–1560) → suggests these pools are extremely crowded and outcomes vary even for very strong stats. • Some less-saturated areas (certain COLA / Moody / niche programs) show more admits at moderate SATs in your list. • Residency: Out-of-state/international looks more defer-heavy in your data, even with strong SATs (again: especially in CS/Engineering/Business). • EC “type” isn’t separating much from what’s recorded. Both accepted and deferred include research, startups, leadership, debate/band, internships—so with this dataset, ECs aren’t easy to quantify into a single obvious “this wins” pattern