Do IIM admissions unfairly favor reserved category candidates over general candidates with higher CAT percentiles?

The question of whether IIM admissions unfairly favor reserved category candidates is one we encounter frequently — and it deserves a more careful answer than a simple yes or no.

The frustration is understandable. When someone sees an OBC candidate with a 90 percentile convert IIM Ranchi while a general category candidate with a 97 percentile remains waitlisted, the instinct is to attribute the gap entirely to reservation. But that framing misses how IIM selection actually works.

IIM shortlisting and final selection uses a composite scoring model. CAT percentile typically carries only 40–50% of the total weight. The remaining weight is distributed across academics — your Class 10, Class 12, and graduation marks — work experience quality and duration, interview performance, undergraduate college tier, and gender diversity. A 7-percentile difference in CAT score can be entirely offset by meaningful differences across these other parameters. This is not speculation — it's how the published WAT-PI criteria for most IIMs are structured.

In our experience, the percentile-only narrative breaks down quickly when you look at actual profiles. We've tracked cases where a 97+ percentile OBC candidate remained waitlisted at IIM Ranchi — the same institute cited in the example above. We've also seen general category engineers with 99.5+ percentiles historically struggle to convert calls, when their academic profiles or interview performances didn't hold up. One specific profile worth noting: a 99.46 percentile candidate with a 9/9/8 academic score and solid work experience remained waitlisted across multiple IIMs. Percentile alone, at any category, does not guarantee conversion.

On the broader reservation debate, the perspectives we've encountered are genuinely divided, and we'd rather present them honestly than flatten them.

One view, held by many who've thought carefully about this, is that reservation corrects a historical injustice that hasn't simply dissolved. Caste-based discrimination remains a documented reality — not just in rural India but in urban and professional settings. From this perspective, representation in elite institutions is a legitimate policy objective, not an arbitrary advantage.

The counterargument — and it's a serious one — is that caste as a criterion may be less equitable than income-based criteria in cases where reserved category candidates come from economically privileged backgrounds. This is a genuine policy tension, and it isn't resolved by dismissing either side.

What we've also seen from alumni perspectives — including those from elite IIM batches — is that reserved category peers are frequently described as among the more grounded and high-effort members of their cohorts. The assumption that a lower CAT percentile reflects lower capability or lower eventual contribution is one that doesn't hold up under scrutiny.

A general category IIM Indore convert put it plainly: focusing on factors within your control — academics, work experience, interview preparation — is more productive than attributing a rejection to someone else's admission. Being rejected doesn't constitute evidence that the admitted candidate was undeserving.

The picture that emerges is one of genuine complexity. Reservation does create statistical advantages at the category level. But individual conversions are shaped by comprehensive profile strength, interview execution, the specific composition of a given year's applicant pool, and — honestly — some degree of luck. The debate around how reservation should function is a legitimate one. But the idea that percentile alone is the correct and complete measure of merit is a premise that IIM selection methodology itself rejects.