Meta-Analysis Error Reports
This site compiles forensic reports of errors found in meta-analyses. To submit your own error report, contact me (Matthew B. Jané) at matthewbjane@gmail.com.
Matthew B. Jané
PhD candidate in Quantitative Psychology and Neuroscience at the University of Connecticut. Forensic meta-science and statistical methods for meta-analysis.
Meta Research News | Meta Research
At Meta, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.
Metapsy | Meta-Analytic Psychotherapy Databases
Metapsy is a university-based research project. It provides access to meta-analytic databases of clinical trials on the effect of psychological interventions on mental disorders or mental health problems.
Metaventory — the meta-science community
A comprehensive community of the people building meta-science and the tools they make — psychology and economics first, growing science-wide.
How Meta Uses A.I. Data Centers to Avoid Billions in Federal Taxes
Meta is exploiting a lucrative tax break intended to support research and experimentation. Its own accountants say the gambit is risky.
How Meta Uses A.I. Data Centers to Avoid Billions in Federal Taxes
Meta is exploiting a lucrative tax break intended to support research and experimentation. Its own accountants say the gambit is risky.
How To Think Real Good | Meta-rationality
Practical epistemology: heuristics for how to think about difficult things, particularly using formal methods.
ACE: Audit Clinical Evidence
Independent audits of published clinical research for statistical errors, data inconsistencies, and research integrity violations.
Meta must face youth addiction lawsuit by Massachusetts, court rules
The decision follows a landmark trial in which a jury found Meta and Google negligent for designing social media platforms that are harmful to young people.
evidence.guide
Evidence intelligence platform: dashboards, docs, and tooling for trustworthy research quality.
Meta’s New AI Asked for My Raw Health Data—and Gave Me Terrible Advice
Meta’s Muse Spark model offers to analyze users’ health data, including lab results. Beyond the obvious privacy risks, it’s not a capable stand-in for a real doctor.
Not to pick on Sam here, but this is a useful point to highlight some of the impossibility of trust & safety work. Meta actually used to have a program *exactly* like this, BUT it became a central feature of Frances Haugen's Facebook Files as an example of Meta being evil. I'll explain...
Sam G
IMO the big platforms should have people who keep an eye on all the big political accounts (regardless of alignment) because having them trip automated blocks is… bad.
We just published a meta-analysis, where one finding is that "number of sickdays" is a bounded, not seldom zero/one-inflated variable, which is unsuitable for meta-analysis based on mean/SD. Today, I came across a meta-analysis including sickday stats like mean=9 and SD=27. doi.org/10.1186/s40359-026-05648-2
Client Challenge
doi.orgThis is crazy! The data from the study show patterns that make it nearly impossible for it to be legit. But we can learn a lot from the tone of the comments. "We have concerns about [x], please clarify." Out in the wild, this would be THESE IDIOTS FAKED THEIR STUDY!!
Health Nerd
This is one of the most remarkable academic debacles I've ever seen. A large RCT got published in BMJ. There are currently 44 Pubpeer comments, mostly about the data, including...well. Read for yourself. pubpeer.com/publications/C08779C45DB6E407…
