As we witness the technological and cultural shift in telecommunications, the telephone research community is actively pursuing new ideas and methods to keep pace. Cell phone samples are becoming a more popular mode to reach respondents. There are barriers to overcome—inbound charges and safety concerns—but advantages to harness. As a personal device, cell phones provide a direct communication link to respondents, particularly young adults, at virtually any trine of day. Our research suggests that most respondents have their phones on all or most of the day and o high percentage are between the ages of 1 8 and 24. In coordination with six states, ORC Macro began interviewing via cell phone in October 2006. Respondents are administered o short health survey similar to the Behavior Risk Factor Surveillance Survey (BRFSS). We develop a framework for establishing the overlap in frame coverage for weighting the cell phone samples with traditional BRFSS samples. Most respondents reported that they also hove a landline, and therefore were also eligible for selection in the landline sample. Built into the cell phone sample is an experiment with o two stage cluster sample inspired by Mitofsky- Waksberg methods. Working cell phone numbers are used to identify clusters where we draw second stage units. Preliminary results based on the first months of the sample suggest that the percentage of working cellular numbers is about 50 percent, but varies from state to state. Supplementing o landline sample with a cell phone sample improves the population coverage. Because the frames overlap in their population coverage, proper selection probabilities are crucial to developing an appropriate weighting scheme. Without list-assisted luxuries and imposed legal restrictions on predictive dialers, we must look for other methods to build in sampling efficiencies.