Crowdsourcing is a promising tool involving multiple people in completing tasks that are difficult to complete by an individual, a small team or a computer. Ensuring the quality of the results is also one of the primary problems in crowdsourcing. One of the major approaches to improve the data quality to aggregate answers from more than one workers. This study explores a different approach - we ask workers to prove facts. We devise a general framework for collecting and ranking evidence-based proofs. The experiments results show that the proposed framework works and how diverse the collected proofs are. Our results clearly indicate that the crowd-based approach to prove facts is promising.