Ipseity Daily Data

At what rate do individuals say they are X? Begining on 2025-07-08, I surveyed a small random sample of American adults on a daily cadence. They responded to many items of the form: Does <signifier> describe you today? The file ipseity-daily-aggregated.csv in this repository contains the aggregated results through 2025-07-28. The columns are as follows: signifier - a word, phrase or emoji yes_count - the number of respondents who answered yes (aggregated all-time). no_count - the number of respondents who answered no (aggregated all-time). prevalence_per_10k - an estimate of the prevalence per 10,000. If we were to survey 10,000 American adults, how many would we expect to respond yes to this signifier? The number is calculated as yes_count / (yes_count + no_count) * 10,000. earliest_obs_date - this date represents the first time this particular signifier was ever displayed to a respondent. Signifiers are chosen with stochasticity from a long list; new signifiers are sometimes added, old signifiers are sometimes deleted, and a signifier may be moved higher or lower in priority for sampling. latest_obs_date - the date closest to the present date on which signifier was most recently presented to a respondent. Version created on 2026-03-14 — cumulative data.个体自述符合X特征的比率是多少？ 本调研始于2025年7月8日，以日频为周期对小型美国成年人随机抽样群体开展调研。受访者需完成多类形如「<标识符（signifier）>是否符合你今日的状态？」的问题。 本仓库中的ipseity-daily-aggregated.csv文件包含截至2025年7月28日的汇总调研结果。各字段说明如下： - 标识符（signifier）：单词、短语或表情符号 - 肯定应答数（yes_count）：全调研周期内选择「是」的受访者总累计人数 - 否定应答数（no_count）：全调研周期内选择「否」的受访者总累计人数 - 每万人流行率估算值（prevalence_per_10k）：对每万名美国成年人中预计会对该标识符给出肯定应答的人数的估算值，计算公式为 yes_count / (yes_count + no_count) × 10000。 - 首次观测日期（earliest_obs_date）：该标识符首次展示给受访者的日期。标识符从长列表中随机抽取，采样过程带有随机性；期间会不时新增标识符、删除旧标识符，且各标识符的采样优先级可能会被调整。 - 末次观测日期（latest_obs_date）：该标识符最近一次展示给受访者的日期，为距当前时间最近的观测日期。 本数据集版本创建于2026年3月14日，数据为累计汇总结果。