The investigators also collect the following covariates: age, race/ethnicity, education, income, insurance type, insurance coverage of contraception, numeracy (facility with math), health and safety contraindications to contraceptive use, sexual orientation, parenthood, years since first sex, relationship status, prior exposure to CDC sheet, and pregnancy avoidance intensity. The investigators will compare whether the covariates are balanced between the randomized groups and the US population using two-sample t-tests, chi-squared, or nonparametric tests as appropriate. If the unbalance is statistically significant, the investigators will include the covariate in the regression to compare the adjusted difference between treatments. The investigators use two-sample t-tests to test our hypotheses. The investigators will also test for subgroup differences in our outcomes based on our covariates using a Chow test.