Does trust have a real economic impact? Intuition tells us that it does, but empirical evidence is difficult to find. The paper I am assisting with, Trust and Credit by Jefferson Duarte, Stephan Siegel, and Lance Young of the Foster School of Business seeks to measure the effects of perceived trustworthiness on loans made on the peer-to-peer lending website Prosper.com. From Prosper we have a real debt market in which users can create profiles, request loans, and fund loans. Requesters post credit information such as scores and histories, and may also include demographic information, education and employment history, and even photographs of themselves. In this environment the lenders presumably have all the information they need about each loan to reverse bid with interest rates on loans. My contribution is a web survey application I built to separate these photos from the loan postings and have the perceived trustworthiness of requesters evaluated on Amazon’s Mechanical Turk. Through the application we are able to crowd-source the survey to an "online marketplace" for an "on-demand, scalable workforce" where we had 3,284 unique workers evaluate 6,821 listings for trustworthiness, of which 3,291 listings were funded. By having each photograph evaluated by 25 different workers we are able to establish a consistent proxy for trustworthiness which is directly related to a loan listing outcome. With this proxy we find that a trustworthy person can promise an interest rate 182 basis points per annum lower than an untrustworthy but otherwise identical person.