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C15
The infrastructure that generates knowledge has a quality problem that nobody has incentive to fix — and mandates have failed. How many research conclusions are built on inputs that were never validated?
Research Infrastructure Integrity
10 problems across 8 domains · v6: 10NEW
Shared Structural DNA
These 10 problems share a meta-pattern invisible from within any single domain: foundational research inputs — reagents, cell lines, software dependencies, analytical methods, benchmark datasets, experimental protocols, soil testing methods — have documented quality problems, but incentive structures discourage quality-checking. 15-20% of cell lines are misidentified. >50% of commercial antibodies don't work as labeled. Software dependencies break within months. The failure propagates downstream: research built on unreliable inputs produces unreliable conclusions, which inform policy, clinical practice, and engineering decisions.
Cell lines, antibodies, western blots — biological research tools with documented quality problems that persist despite awareness
MOF synthesis, soil testing, psychology moderators — methods insufficiently specified to produce consistent results across labs
Software dependencies, ML benchmarks — computational infrastructure degrading over time as dependencies rot and labels erode
Contaminant validation, western blot quantification — measurement methods not validated for the conditions they're applied to
Member Problems
Domain Spread