We are interested in how often individuals would state that they would have a screening test given different framing of information. Information will be targeted at men concerning prostate cancer, and at women concerning breast cancer. This cancer screening information will be framed as one of the following: a new test which offers no benefit the the participant, a test that has been used for the past 30 years but has now been shown to offer no benefit the the participant, or a well known test (mammography for women, PSA screening for men) that has been used for the past 30 years but has now been shown to offer no benefit the the participant Given these scenarios we hope to discover how often people are willing to be screened when they are told screening has no benefits. Further, we hope to find out how acceptance of well-known tests, such as mammography and PSA screening, differ from tests with the same background information but without familiar names, and how both of these differ from a novel testing technique. 300 participants will be recruited through Amazon Mechanical Turk. If the participant fits the criteria described in the ad (over 18 years of age and in the United States) they may choose to complete the study. They will be asked to complete a questionnaire that will take approximately 5 minutes for which they will be compensated with $0.20 for their participation. In the questionnaire they will view a cover letter, then once they agree to participate they will be asked to complete a number of demographic questions. Then they will be given a hypothetical scenario to read pertaining to cancer screening, and then will be asked to complete a number of questions about their reactions to the scenario. Following this they will complete questions about their health behaviors and experiences. Then they will be asked to complete a minimizer/maximizer scale as well as a naturalistic orientation scale. Finally, they will be asked to complete a numeracy scale, and then will be debriefed. **Hypotheses** Differences in scores due to gender are not expected. Should this occur analyses will be completed with respect to this variable. Without gender differences, we plan to collapse across gender and compare our 3 groups (Group 1 = new test, Group 2 = unknown test with history, Group 3 = known test (mammography or PSA-test) with history). **Group Differences:** We expect that Group 1 will show the lowest uptake of the test (as measured by our continuous question of how likely it is you would get this screening test, and our binary question of would you get this test right now), followed by Group 2, and finally Group 3 is expected to have the largest uptake of the test. Similarly, Group 1 is expected to have the lowest ratings of positive feelings towards the test (how positive/negative do you feel toward the test; how trustworthy, worthwhile, beneficial is this test) followed by Group 2, and finally Group 3 is expected to have higher ratings of the test. Also, Group 1 is expected to have the higher ratings of negative feelings towards the test (how risky is this test) followed by Group 2, and finally Group 3 is expected to have lower ratings of the test. **Individual Differences:** Individuals who respond “no” to the question “Did you make these judgments assuming there were no benefits to the screening test?” are expected to be more likely to respond that they want the test, and that they feel more positively and less negatively toward the test. Similarly, those who answer incorrectly, or that they are unsure on the question regarding what they were told about the test are expected to be more likely to respond that they want the test, and that they feel more positively and less negatively toward the test. Also, those who respond more highly to the question regarding belief that the hypothetical test does reduce cancer deaths are expected to be more likely to respond that they want the test, and that they feel more positively and less negatively toward the test. Individuals who respond on the higher end of the scale to the questions regarding importance of screening for various cancers, and risk of not screening for cancer for the next 10 years are expected to be more likely to respond that they want the test, and that they feel more positively and less negatively toward the test. Individuals who respond “yes” to the questions “Do you believe that being screened for cancer reduces your chances of dying from cancer?” and “Do you believe that being screened for cancer reduces your risk of getting cancer?” are expected to be more likely to respond that they want the test, and that they feel more positively and less negatively toward the test. Those who report having experienced a physical health problem, cancer, or having family involvement with cancer are expected to be more likely to respond that they want the test, and that they feel more positively and less negatively toward the test. Those who report being more scared or worried about cancer are expected to be more likely to respond that they want the test, and that they feel more positively and less negatively toward the test. Also, those who feel they are more likely to develop cancer, and/or that this diagnosis would be more serious are expected to be more likely to respond that they want the test, and that they feel more positively and less negatively toward the test. Those who are more of a maximizer, have less of a naturalistic orientation, trust less in science, and/or have lower numeracy are expected to be more likely to respond that they want the test, and that they feel more positively and less negatively toward the test. Those who have been screened for cancer, and/or are not aware of cancer controversies are expected to be more likely to respond that they want the test, and that they feel more positively and less negatively toward the test. Those who report a higher percent of individuals who get mammography or PSA tests are expected to be more likely to respond that they want the test, and that they feel more positively and less negatively toward the test.