Mission

AdmitBase publishes data-driven admissions guidance for professional school applicants. The mission is narrow and explicit: help applicants understand their real admission chances using primary-source data, not anecdote.

Sourcing

All admissions statistics on AdmitBase trace back to a public, verifiable institutional disclosure. The accepted primary sources are:

  • American Bar Association — Standard 509 Information Reports (US law)
  • Association of American Medical Colleges — FACTS data tables (US medical)
  • American Dental Education Association — Official Guide to Dental Schools (US dental)
  • Association to Advance Collegiate Schools of Business — class profiles (MBA)
  • American Association of Colleges of Pharmacy — Academic Pharmacy's Vital Statistics
  • Association of American Veterinary Medical Colleges — institutional data
  • Association of Schools and Colleges of Optometry — institutional data
  • UCAS End-of-Cycle provider data (UK)
  • AFMC Canadian Medical Education Statistics (Canadian medical)
  • Per-school class profile pages where central disclosure is incomplete

Self-reported community data is not used as a primary source. Where it appears in context (e.g., decision-wave timing), it is identified as such.

Verification

  • Two-source rule for non-obvious claims. A statistic that is not directly attributable to a primary disclosure must be corroborated by a second source.
  • Rate-unit discipline. All percentage fields are stored on a 0–100 scale; no mis-scaled or banded values are ever ingested.
  • No null-stuffing. Missing data is rendered as N/A or omitted; we do not fill gaps with estimates or interpolated values presented as fact.
  • Edition disambiguation. When a source publishes multiple editions per year, the article cites the specific edition and year.

Authorship

Articles are written by the AdmitBase Editorial Team — admissions analysts whose work focuses on each program vertical. The team writes under a collective byline. Individual analysts may be named on a given article when they contributed substantially.

AI use disclosure

AdmitBase uses AI tools internally for research, drafting assistance, data extraction from primary sources, and editorial review. Every published article is reviewed by a human editor before publication. AI is not used to fabricate statistics, generate quotes attributed to real people, or substitute for the verification steps above.

Conflicts of interest

AdmitBase does not accept paid placement, sponsored rankings, or pay-to-include arrangements. School profiles are listed based on accreditation and data availability, not commercial relationships. The match algorithm treats all schools identically — there is no commercial weighting.

Updates and freshness

Each article shows a publication date and a last-updated date. Articles that reference time-sensitive admissions data (acceptance rates, median scores, tuition) are revisited when new disclosure cycles are published — typically annually.

Corrections

Errors are corrected promptly. See our corrections policy for the process and how to report an issue.

Contact

Editorial questions, source disputes, or correction requests: support@admitbase.com.