With over 90 million research papers published worldwide, mathematical errors and data discrepancies can have far-reaching consequences. In October 2024, a peer-reviewed study claiming black plastic kitchen utensils were toxic caused widespread panic and media coverage. The error? A simple multiplication mistake that made the reported toxicity levels 10x higher than reality. OpenAI's o1 model identified this critical error in just 30 seconds, for $0.30.

yesnoerror is a DeSci (Decentralized Science) initiative using blockchain technology and AI to audit science at scale. Our mission is to uncover mathematical errors, identify falsified data, and detect numerical inconsistencies that could compromise scientific integrity or lead to real-world issues.