What you can do with the archive. Each recipe pairs a short write-up with an interactive artifact seeded from hand-verified data, plus a copy-pasteable API query you can use to scale it to the full corpus. If you want to contribute one, PRs welcome.
Scatter plot of how selective a school looks on paper (acceptance rate) against how selective it actually is in practice (yield). Four quadrants with teeth: selective-and-desired, loved-despite-openness, selective-but-second-choice, accessible-and-optional.
Students and parents building a target list; counselors calibrating reach/match/safety.
Line chart of SAT submission percentage over time for seven well-documented schools (Yale 2009–2024, Caltech 2002–2020, MIT, Princeton, Stanford, Harvard, Wake Forest). Uses the submission rate as an honest proxy for effective test-optional policy — written disclosures lie, enrollment numbers don't.
Students deciding whether a school's “test-optional” is real; reporters tracking the post-COVID reversion.
A corpus-wide look at CDS C2 wait-list outcomes: how many students accept a spot, how many get admitted, and how the odds differ by selectivity, control, size, and Carnegie class.
Students deciding whether to stay emotionally invested; counselors setting expectations after May 1; reporters checking one school's wait-list narrative against the corpus.
Want to build one of these? See the recipes guide.