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GreyBrain Pulse · Published 7 Oct 2026

Reviewer 2’s objections, before you submit

The scientist · What’s possible · F1

The three sets of objections you are going to receive anyway, ranked, while you can still do something about them.

Why this matters for your role

The scientist’s skill: distinguish a promising signal from a practice-changing result.

Your worked example

A fictional research team notices that students who voluntarily attend extra teaching sessions score higher on a later quiz. Attendance was not randomly assigned; prior attainment and motivation were not measured.

Put it into practice

Separate observation from causal hypothesis. List confounders and compare two study designs that could test the question. Do not invent results.

Practise with a synthetic example. Do not upload identifiable patient information. Check every factual claim and source before considering any real-world use.

Clinician prompt

Reviewer 2’s objections, before you submit

The three sets of objections you are going to receive anyway, ranked, while you can still do something about them.

Copy · paste into your AI

Act as three peer reviewers for a journal in my field. This is a practice exercise on my own unpublished draft. Here is my abstract and methods section: [PASTE YOUR ABSTRACT AND METHODS] Write the three reviews I am most likely to receive: 1. A methodological reviewer — design, sampling, statistics, confounding. 2. A clinical reviewer — whether my conclusion is actually supported by my results. 3. A hostile reviewer looking for a reason to reject. For each reviewer, list the specific objections ranked by how hard they are to answer, and write them in the voice that reviewer would actually use. Mark any objection you cannot assess from what I pasted. Then name the single objection that would sink this paper if I left it unanswered, and draft the two-paragraph response I would need to survive it. End with a short section titled "Your check" listing what I must verify myself before using any of this.

Synthetic practice example. Run it as-is and check the output against the supplied facts.

Your check

Every objection is a hypothesis, not a verdict. Take the top three to your co-author. The model has not read your field’s literature and cannot tell you whether your finding is novel.

Runs inChatGPT Claude Copy the prompt first — these links open the tool, they do not carry the text.

Your own unpublished text only. A public chatbot may retain what you send — check your journal’s and your institution’s policy before pasting an unpublished manuscript.

Sources inform this fieldnote; their publishers do not endorse GreyBrain. This exercise does not confer clinical competence or a certificate.

Reviewer 2’s objections, before you submit | GreyBrain Pulse | GreyBrain School of AI