An Introduction to Forensic Metascience#
An Introduction to Forensic Metascience is a free online book by James Heathers (2025) that provides a comprehensive introduction to forensic meta-science techniques — methods for checking the consistency and credibility of scientific reports.
The book is written in a literate programming style, with all analyses implemented in R code that readers can run themselves. It covers techniques ranging from simple consistency checks to more sophisticated statistical tests, along with visual analysis methods for detecting image manipulation.
Citation#
Heathers, J. (2025). An Introduction to Forensic Metascience. doi: 10.5281/zenodo.14871843
Topics covered#
The book walks through a progression of techniques for evaluating the consistency of reported results in scientific papers:
| Topic | Description |
|---|---|
| Basic consistency checks | Verifying that percentages sum correctly, internal consistency of reported numbers |
| GRIM | Granularity-Related Inconsistency of Means — determines whether a reported mean is mathematically possible given the sample size and integer data |
| GRIMMER | Extension of GRIM to standard deviations, based on the principle that (degrees of freedom x variance) + (n x mean squared) must be a whole number |
| SPRITE | Technique for reconstructing possible distributions consistent with reported summary statistics |
| Image forensics | Visual analysis techniques for detecting manipulated images, duplicated Western blots, and other figure anomalies |
| Triage | Deciding which papers warrant deeper investigation |
| AI in forensic meta-science | The potential role and limitations of automated analysis |
Who is it for?#
The book is intended for anyone interested in evaluating the credibility of scientific research, including researchers, research integrity officers, ethics committees, journalists, and aspiring forensic meta-analysts. No prior expertise in forensic meta-science is required, though some familiarity with R is helpful for running the code examples.
Resources#
- Read the book — full text, freely available (CC-BY-4.0)
- DOI: 10.5281/zenodo.14871843 — archived on Zenodo
- Book announcement — Heathers’ Substack post introducing the book
