The Lie of the Well-Written Grant

There is a belief in academic science that functions like gravity. It is so pervasive, so deeply embedded in how we train researchers and talk about funding, that most people do not recognize it as a belief at all. They experience it as truth.

The belief is this: if you write a strong enough grant — clear aims, rigorous methods, compelling significance, solid preliminary data — you will get funded.

I believed it for years. I taught it, implicitly, every time I helped a colleague sharpen an Aims page or restructure a Research Strategy. The assumption underneath all of that work was simple: the quality of the document determines the outcome. Write better. Score better. Get funded.

It is not that this belief is wrong. It is that it is incomplete in ways that damage people.

It damages them when they receive a strong score and do not get funded because the payline moved. I have experienced this myself. A 6th percentile on an R01 grant application that was moving toward funding when the pay line shifted to 4th percentile suddenly stopped this work in its tracks. It damages them when they get assigned to a study section where no one has expertise in their method and the critiques reflect confusion rather than evaluation. It damages them when their application is designated "competitive but not discussed" under the modified review procedures — strong enough to be in the middle third, but never benefiting from the discussion that might have moved it higher. And it damages them most when they internalize the outcome as a referendum on their writing, their thinking, or their worth as a scientist — when the truth is that their grant operated inside a system with variables they could not see and cannot control.

I want to name those variables. Not to discourage you. To free you from carrying weight that does not belong to you.

What determines funding that your writing cannot control

Your application does not exist in a vacuum. It exists inside a fiscal, structural, and human system, and that system shapes outcomes in ways that have nothing to do with the quality of your science or your prose.

Paylines and budget. The most direct variable. An institute's payline (for those that have one) — the percentile cutoff below which applications are funded — is a function of the institute's annual budget, its existing commitments, and Congressional appropriations. In a tight fiscal year, a percentile that would have been funded last cycle is not funded this cycle. Your score did not change. The line moved. Applicants who do not understand this interpret a non-funding decision as a signal about their application when it may be a signal about the budget.

Portfolio balance. Program officers think in portfolios. They are managing a collection of funded projects across a scientific landscape, and they are looking for how your application fits — or does not fit — within that portfolio. An application can be scored well and still not be selected if the institute already has heavy investment in your area, or if a programmatic priority has shifted since the funding announcement was published. This is not a flaw in the system. It is the system working as designed. But it means that two identically scored applications at two different institutes can have different funding outcomes for reasons that have nothing to do with the applications themselves.

Study section assignment and composition. Your application is assigned to a study section, and the reviewers on that panel bring their own disciplinary lenses, methodological preferences, and interpretive frameworks. A behavioral intervention grant reviewed by a panel with deep behavioral science expertise is read differently than the same grant reviewed by a panel where behavioral science is peripheral. The standing membership of a panel changes over time. The expertise mix for any given meeting is not the same as the meeting before. Your application is evaluated by specific human beings on a specific day, and that fact introduces variability that your writing cannot eliminate.

The modified review landscape. You now know — from two weeks ago — that 30 to 35 percent of applications will be discussed rather than the usual 50 percent. You know that simplified summary statements replace narrative paragraphs with bullets. You know that "not discussed" now splits into two categories with fundamentally different implications. These are structural conditions that affect how your application is evaluated regardless of how well it is written. A brilliantly written Aims page can still land in the middle third if the competition in that review cycle is unusually dense at the top.

None of these variables are secrets. But they are rarely named in the same conversation as "how to write a better grant." And that silence creates an implicit message: if you did not get funded, you did not write well enough.

That message is a lie. And it is the most expensive lie in academic science, because it drives people out of the funding process who belong in it.

Why this makes writing matter more, not less

Here is where I want to be careful. Because naming the system's structural realities is not the same as saying your writing does not matter. It matters enormously. But it matters differently than most people think.

If the system were purely meritocratic — if the best-written grants were reliably funded and the weakest were reliably not — then writing well would be sufficient. You would not need to understand paylines, portfolio balance, or study section dynamics. You would just need to write a better grant.

But the system is not purely meritocratic. It is a system in which merit is one variable among several, and it is the only variable you can control. Which means the strategic value of writing well is not that it guarantees funding. It is that it maximizes your probability of funding across the variables you cannot control.

A strong Aims page cannot move a payline. But it can ensure that if the payline reaches your score, nothing about your writing is the reason you were on the wrong side of it. A clear significance argument cannot guarantee your study section has expertise in your methods. But it can ensure that a reviewer without that expertise still understands why your question matters. A compelling Introduction page cannot make the room discuss your application. But it can ensure that if the room does discuss it, the reviewers are arguing about the science rather than trying to figure out what you meant.

Writing well in this system means writing with the awareness that your document has to perform under conditions you cannot predict. It means building a grant that is resilient — that communicates its importance clearly to reviewers who may not share your disciplinary assumptions, that makes its contribution legible even in a simplified summary statement, that gives a program officer something to advocate for when portfolio decisions are being made.

That is a fundamentally different standard than "write clearly and follow the format." It is strategic writing. And it is what I have been teaching in this series — not because strategy compensates for weak science, but because strong science deserves a document that gives it every possible advantage inside an imperfect system.

The weight that does not belong to you

If you are reading this in the weeks before an October deadline, I want you to hold two things simultaneously.

First: your writing matters. The Aims page you are drafting this week can be the difference between the top third and the middle third. The argument you make for significance can open the window that makes a reviewer fight for your score. Every principle I have taught in this series — hearing the room, reading the summary statement, writing the Introduction page, building a persuasive Aims page — is real, and it is within your control. Do the work. Do it well.

Second: if you do the work well and the outcome is not what you hoped, that outcome is not a verdict on your science or your capacity. It is one result inside a system with variables that your writing, no matter how strong, cannot override.

I have watched brilliant scientists leave the funding process because they interpreted a non-funding decision as proof that they were not good enough. They were good enough. They were writing well inside a system that does not fund everyone who writes well. And nobody told them that — because the culture of grantsmanship is built on the implicit promise that effort and skill produce outcomes, and acknowledging the structural variables feels like undermining that promise.

It does not undermine it. It completes it.

The complete truth is this: write the strongest grant you can, understand the system your grant operates inside, and do not let an outcome you cannot fully control determine your relationship with your own work.

That is not resignation. That is clarity. And clarity is what lets you submit again.

The resubmission reframe

This brings the series full circle in a way I did not plan but now see clearly.

Everything I have taught you about reading your summary statement — finding the sentence, distinguishing the room's voice from individual critiques, building a narrative Introduction page — is a skill set for one purpose: responding strategically to an outcome. But the first step of responding strategically is interpreting the outcome accurately. And you cannot interpret it accurately if you believe your writing is the only variable that matters.

A score of 25 on an application with a payline of 18 might mean your writing needs work. It might also mean your writing was strong and the competition was stronger. It might mean your study section lacked the expertise to evaluate your innovation. It might mean the discussion went sideways on a concern that was not central to your science.

Reading your summary statement well means holding all of those possibilities open until the evidence tells you which one — or which combination — is true. And that requires the intellectual honesty to say: some of this feedback is about my grant, and some of it is about the system my grant was evaluated inside. My job is to distinguish between the two and revise accordingly.

That distinction is the most important skill in grantsmanship that nobody teaches. Because teaching it requires admitting something the field is reluctant to admit: that the relationship between quality and outcome is real but not deterministic.

Beyond grants

This principle operates in every evaluative system where quality is necessary but not sufficient.

The academic job market does not fund — or hire — every strong candidate. A brilliant job talk in a year with 400 applicants and one position is still a brilliant job talk. The manuscript you submitted to the journal that had a 6 percent acceptance rate was not 94 percent deficient. The consulting proposal that lost to a firm with an existing relationship was not weaker — it was competing inside a system where your proposal was one variable.

In every case, the lie is the same: if the outcome was negative, you were not good enough. And in every case, the truth is more complex and more generous: you operated inside a system where quality is the variable you control, and it is not the only variable that exists.

Name the system. Do your best work inside it. And do not confuse the outcome with a verdict on your worth.

What is one funding or career outcome you carried as a personal failure that might look different if you accounted for the system it happened inside?

Next week: your aims are not your science — how to stop writing aims that describe activities and start writing aims that assert testable positions.

~Lisa Carter-Bawa, PhD, MPH, APRN, ANP-C, FAAN, FSBM

Lost In Translation (LIT) grantsmanship curriculum is available as an institutional cohort for cancer centers, training programs, and research-intensive departments.

The LIT October 2027 Deadline Cohort is full. If you would like to be placed on the waiting list in case a seat opens, or if you want to indicate interest in the March 2027 Cohort, let me know here: https://forms.gle/Eysi8qEjBXNY1w388

Future cohorts will be timed to the NIH grant submission cycle. Each cohort includes five live Monday sessions, full access to the LIT course (14 modules + 13 workbooks), and a post-cohort Translation Feedback Brief — a one-on-one review of your revised Aims page and/or full grant returned in time for your submission.

Contact lisa@soultosoulleadership.com with any questions or visit lisacarterbawa.com/losttranslation to learn more.