>[!abstract] >Data dredging is the misuse of data analysis to find patterns in data that can be presented as statistically significant, thus dramatically increasing and understating the risk of false positives. This is done by performing many statistical tests on the data and only reporting those that come back with significant results. Thus data dredging is also often a misused or misapplied form of data mining. (Wikipedia, 2025). >[!related] >- **North** (upstream): — >- **West** (similar): [[Anecdata]]; [[Texas sharpshooter fallacy]] >- **East** (different): [[Forking paths problem]] >- **South** (downstream): —