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 2025-08-20 — cumulative data.个体自称契合特征X的比例为多少？ 本调研启动于2025年7月8日，以每日频次对小型美国成年人随机样本开展追踪调查。受访者需回答大量形如「<标记符（signifier）>是否契合你当日的状态？」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： - 标记符（signifier）：用于描述的单词、短语或表情符号 - 肯定应答数（yes_count）：累计所有调研中选择“是”的受访者总人数 - 否定应答数（no_count）：累计所有调研中选择“否”的受访者总人数 - 每万人肯定应答预估占比（prevalence_per_10k）：每10000名美国成年人中的肯定应答预估占比，即若调研10000名美国成年人，预计会有多少受访者对该标记符给出肯定回答。该指标计算公式为：yes_count / (yes_count + no_count) * 10000 - 最早观测日期（earliest_obs_date）：该标记符首次展示给受访者的日期。标记符从长列表中随机选取；有时会新增标记符、删除旧标记符，且标记符的抽样优先级可上下调整。 - 最晚观测日期（latest_obs_date）：该标记符最近一次被展示给受访者的日期，距当前日期最近。 本数据集版本创建于2025年8月20日，包含累计调研数据。