Statistical & Methods Red-Team PRO
The statistics and methods are what kill the most papers — and what authors are weakest at defending. This is a hard-nosed AI methods reviewer that hunts for the flaws Reviewer 2 will attack: underpowered samples, the wrong statistical test, p-hacking signals, missing effect sizes, multiple-comparison problems, and causal claims your design can’t support. A human statistician charges $150–300/hour for this.
Why do statistics and methods get papers rejected?
Flaws in statistics and methods are among the most common reasons reviewers reject papers — problems like underpowered samples, the wrong statistical test, p-hacking, missing effect sizes, or causal claims a study design can't support. These are also the issues authors find hardest to spot in their own work.
How the statistical and methods red-team works
This statistical and methods review tool acts as a tough AI methods reviewer. It scrutinises your design and analysis, then returns a rigor score, severity-ranked findings with concrete fixes, the statistics you should report, and the hard questions a methods reviewer will likely ask.
How to use the methods red-team
- Select your study design and enter your sample size and tests.
- Paste your methods and key results.
- Run the red-team review.
- Fix the flagged issues before you submit or send to a statistician.
Catching statistical and methodological weaknesses before submission protects your paper from avoidable rejection.