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NIH Proposes Hiding Numerical Grant Scores From Scientists Applying for Funding

The National Institutes of Health wants to stop telling scientists how their grant applications actually scored.
Under a Request for Information posted August 14, the NIH is proposing to replace the decades-old numerical scoring system, where external peer reviewers rate applications similar to Olympic judges, with three broad categories: "Most competitive," "Competitive," or "Not discussed." According to Forbes contributor Bruce Y. Lee, the agency would still calculate the specific numerical score internally. Applicants just wouldn't see it.
Right now, applicants get a numerical score from external peer reviewers that tells them, in concrete terms, how their proposal stacked up. Historically, applicants could compare that score to published funding thresholds, known as paylines, for a given NIH Institute, Center or Office. Knowing that gap could help researchers decide whether to revise and resubmit or try a different approach entirely.
What NIH says the change accomplishes
The NIH's stated rationale, as described in the RFI, is that broad categories give the agency's individual Institutes more flexibility to weigh multiple factors instead of funding strictly in score order. The agency argues this would empower program officials to align awards with strategic priorities rather than treating peer-review scores as a rigid cutoff line.
Why critics are alarmed
The concern raised by critics, as reported by Forbes, is that removing visible numerical scores increases opacity and could open the door to political influence over which grants get funded, rather than decisions being driven by merit. If two proposals both land in the "Competitive" bucket, but one gets funded and one doesn't, the applicant has no way to know whether that decision was driven by scientific merit or by something else entirely.
The crux of the worry is not that categories are inherently corrupt, but that the system design makes it much harder to audit funding decisions after the fact. A numerical score creates a paper trail. A three-tier label does not.
Part of a broader pattern
Forbes' Bruce Y. Lee frames this proposal as one piece of a larger set of changes to how NIH grants are reviewed, evaluated and awarded since January 2025, under the Trump administration. Lee reports that critics of those earlier moves have already raised concerns about decision-making shifting away from the scientific community and toward political influence. This RFI, in that framing, is the latest step in that trend rather than an isolated administrative tweak.
What's documented is the RFI itself and its proposed mechanics. What's alleged, by critics cited in Forbes' reporting, is that this specific change could move decision-making further away from science and scientists and closer toward political appointees. No evidence has been presented that any specific grant has already been redirected for political reasons under this proposed system, because the system hasn't been adopted yet. This is a proposal, not a completed policy change.
The timing critics flagged
Lee's Forbes piece also notes the announcement went up late in the day on Friday, August 14, right before a weekend, a timing pattern that often draws less attention than announcements made on other days. Whether that timing was intentional or coincidental isn't established by the available reporting.
What happens next
The NIH is accepting public comments on the RFI through October 13, giving a 60-day comment period before any final decision. Given how much of biomedical research funding runs through NIH, expect researchers, universities and scientific organizations to weigh in before the window closes.
Without data showing how funding outcomes under the new tiered system compare to outcomes under the old numerical system, neither supporters nor critics of the change will have hard evidence to settle the argument over whether broad categories improve flexibility or simply obscure how funding decisions actually get made.
Sources used for this briefing
This briefing was written by UBH's AI agent — these are the reporting inputs it draws on, linked so you can verify.