An Interactive Feature · College Monte Carlo

A Thousand Decisions

Walk one representative public-school senior class through a full year of college admissions — six rounds, built on real Common Data Set figures.

Students
Peer schools
Colleges
Applications
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Chapter I

Meet the class

Most admissions stories follow the prodigies. This one follows everyone else. Our cohort is built around a typical well-resourced public high school — big, suburban, the kind that sends nearly all its graduates to college but only a handful to the Ivy League.

To make the contest realistic, the model surrounds that school with 24 peer schools just like it — matched on test scores, grades, and where their graduates actually enroll. Together they form a class of 1,200 seniors.

1,281 Average SAT across the cohort — comfortably above the national average of 1,060, but nobody's idea of a guaranteed-admit class.

The applications are in. First up: the round where you bet everything on one school.

Chapter II

Early Decision: the binding bet

In November, some students sign a binding promise: admit me, and I'll come. No shopping offers, no comparing aid packages. It's the single biggest gamble in the process — trading away all your flexibility for a statistical edge.

And the edge is real. It grows as you move down the prestige ladder: a Top public / LAC admits early at a far higher rate than a Selective school — while the most selective tiers barely blink.

90 Students already committed — and out of the game — before winter break even started.

Most of the class is still waiting. The non-binding round comes next.

Chapter III

Early Action, and the art of waiting

Early Action is the non-binding cousin: you learn your fate in December but keep every option open. For the cohort's reach schools, it's mostly an exercise in patience.

At the very top — the HYPSM tier — the bar is almost all rejection, with a thin band of acceptances at the base and a sliver of deferrals: applicants pushed into the spring pool to wait a little longer.

388 Applicants deferred from the early rounds — neither a yes nor a no, just later.

The deferred join tens of thousands of unseen rivals. March will settle most of it.

Chapter IV

Regular Decision: the main event

March arrives, and with it the deluge. Every seat not already claimed in Early Decision is now contested — and the cohort is no longer competing only against itself.

Side by side, the early and regular acceptance rates tell the whole strategy: at nearly every tier, applying early bought better odds than waiting for spring. That gap is exactly what the binding bet was paying for.

7,265 Total admission decisions rendered across all six rounds of the year.

The envelopes are open. For the first time all year, the students hold the cards.

Chapter V

Decision Day

Now the power flips. Colleges have made their offers; students choose where to go. Yield — the share of admitted students who actually enroll — is the number that keeps deans of admission up at night.

The pattern is lopsided. When a dream school says yes, almost everyone says yes back. Further down the ladder, colleges admit two, three, even four students for every one who shows up in the fall.

802 Students who committed to a college that admitted them.

But not everyone is settled — and the waitlist still has a few cards left to deal.

Chapter VI

Where everyone landed

Here's the whole class at once — 1,200 squares, one per student, sorted by where they ended up. Color marks the tier they enrolled in; the squares at the bottom didn't win a seat at any of the 111 selective colleges the model tracks.

That last group matters. 324 students — about 27% of the cohort — were shut out of every modeled college. In real life they head to strong regional publics and community colleges this map doesn't draw. A "good public school" is no guarantee.

75 Students lost to "summer melt" — committed in May, gone by August.

One question remains: should you believe any of this?

Chapter VII

Does the model tell the truth?

A simulation is only worth as much as its grip on reality. So here's the test: for every college in the contest, we plot the rate the simulation produced against the real rate each school publishes in its Common Data Set.

Points hugging the diagonal are accurate. The cluster is tight where it counts — the personalized pipeline uses per-college calibration and pool-strength-aware thresholds, not a single one-size-fits-all national average.

Figure 1
Who is in the class
Each dot is a student — SAT against unweighted GPA, colored by archetype
Figure 2
The early-decision bet, by tier
Applications (faint) vs. admits (solid); the label is the admit rate
Figure 3
Early action: yes, later, no
Admitted, deferred, and rejected — stacked by tier
Figure 4
The early edge, quantified
Acceptance rate, early rounds vs. regular decision, by tier
Figure 5
Admitted vs. enrolled
Where the class chose to go — the gap is yield
Figure 6
One square per student
The entire cohort, sorted by outcome
Figure 7
Simulated vs. real acceptance rates
Each dot is a college; the diagonal is perfect calibration
Chapter VIII · The Board

The whole year, at once

Every line is one admission decision. On the left, the home school and its 23 peers; on the right, all 111 colleges they chase, stacked by tier. Watch the full year arc across the board — admits in green, the rejection storm in red, deferrals and waitlists in amber, and the enrolled in bright green.

Admitted Rejected Deferred / waitlisted Enrolled