{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/301819edf8bd44e29cd43ea4c58ee331\" frameborder=\"0\" width=\"1730\" height=\"1297\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1297,"width":1730,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1297,"thumbnail_width":1730,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/301819edf8bd44e29cd43ea4c58ee331-e37f5536d4aaf03a.gif","duration":86.763,"title":"Innovative Neighborhood Polling for Enhanced Voter Turnout 📊","description":"In this video, I introduce Voter Turnout, a tool that utilizes neighborhood polling methods to enhance the accuracy of election predictions by minimizing bias and social fears. Using a sample from San Francisco, I demonstrate how to upload polling data and send it to users for verification. After receiving responses, I show how the data influences our overall turnout estimations through a Bayesian Statistical Modeling System, similar to what Harvard employs in traditional polling. I observed that my neighbors indicated a lower likelihood of voting, which adjusted our current estimates downwards. I encourage you to explore this tool and consider how it can improve our understanding of voter behavior."}