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Glossary

The words the simulator uses.

Agreement (ρ)
The average correlation between two agents' true utilities for the other side. 1: everyone ranks the other side the same way; 0: preferences are purely personal.
Applicants per position
Applicants divided by positions: how tight the market is. The NRMP's 2026 Main Match had about 1.08.
Blocking pair
An applicant and a program that both rank each other above what the match gave them. A stable match has none.
Certified applicant
An applicant with a non-empty rank order list; only they take part in the match.
Deferred acceptance
The matching algorithm: one side proposes down its lists, the other holds its best proposals so far and rejects the rest, until no one is rejected.
Fidelity
How well a view matches the truth: the correlation of true and observed utility, or, per agent, the rank correlation of its true and observed orderings.
Fit shock
The part of an applicant–program match that only an interview reveals.
Interview informativeness (κ)
How much of the pre-interview error an interview removes: 0 none, 1 all.
Match rate
The share of certified applicants who matched.
Noise (σ)
The size of the error in a pre-interview view, in utility SD units.
Post-interview view
What an agent believes about the other after the interview: the realised utility plus what is left of its pre-interview error.
Pre-interview view
What an agent believes about the other before interviews: the true utility plus error.
Realised utility
The true utility plus the fit shock an interview reveals.
Rank order list
An applicant's programs, or a program's applicants, in order of preference; the input of the match.
Regret
For a matched applicant, how much better the best program they interviewed at turned out to be than the one they matched to.
Rural hospitals theorem
Every stable match leaves the same applicants unmatched and fills each program to the same number of positions.
Seed
The number that fixes every random draw of a run; the same seed and parameters give the same results.
Signal
A preference signal an applicant sends with an application; programs that read signals favour signalled applications when inviting.
Stable match
A match without blocking pairs.
True utility
How much an agent really values the other; the model's ground truth.
Yield protection
A program's reluctance to invite applicants who look too strong for it, because they may go elsewhere.
z-scale
Values in standard deviations from the average: 0 is average, 1 one standard deviation above.