
The Reverse Journal is a pre-experiment risk intelligence engine containing 50 documented research failures across 13 scientific domains. Each entry includes the original hypothesis, methodology, what went wrong, failure classification, and journal citations. Researchers describe their planned experiment and the tool cross-references the failure database to flag historical patterns that match their approach — before they spend months or grant money repeating a known mistake. Key features: 50 pre-seeded real research failures with journal citations (CAST trial, STAP cells, TGN1412, thalidomide, ego depletion, Torcetrapib, and more) Pre-experiment risk scanner with keyword matching (works without API key) AI-powered deep risk analysis via Anthropic Claude API (optional) Cross-domain pattern detection Community submission architecture (pre-seeded entries distinguished from user submissions) Full export: JSON, CSV, Markdown Single HTML file, zero dependencies, works offline Domains covered: Pharmacology, Molecular Biology, Psychology, Clinical Trials, Oncology, Neuroscience, Genetics, Immunology, Epidemiology, Cell Biology, Bioengineering, Biochemistry. Built by Mullair Jeudi, MD — a medical graduate building open-source research intelligence tools through Kristal Labs. No login required. No paywall. Fully open-source under MIT License. Part of the Kristal Labs research tool suite: Kristal Pathfinder v2.0: Disease Research Gap Scanner (DOI: 10.5281/zenodo.18497788) Kristal Nexus: Cross-Domain Research Collision Engine (DOI: 10.5281/zenodo.18759703) The Reverse Journal v5.0: Pre-Experiment Risk Intelligence (this release)
clinical trials, failure database, open science, research failures, replication crisis, pre-experiment risk assessment, research methodology, research integrity, risk intelligence, reproducibility
clinical trials, failure database, open science, research failures, replication crisis, pre-experiment risk assessment, research methodology, research integrity, risk intelligence, reproducibility
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
