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 2025-09-20 — cumulative data.个体自称具备X特质的比例是多少？ 本研究自2025年7月8日起，以每日调研的频次对小型美国成年人随机样本开展调查。受访者需回应多道形如「<signifier>是否契合你当日的状态？」的调研题目。 本仓库中的ipseity-daily-aggregated.csv文件收录了截至2025年7月28日的汇总调研结果。各列字段说明如下： - signifier（标记语）：指代单个词汇、短语或表情符号 - yes_count（肯定应答数）：所有受访对象选择“是”的累计总人次 - no_count（否定应答数）：所有受访对象选择“否”的累计总人次 - prevalence_per_10k（万分之流行率）：每10000名美国成年人中的预估应答“是”人数。其含义为：若调研10000名美国成年人，预计将有多少人针对该标记语选择“是”。计算公式为 yes_count / (yes_count + no_count) * 10000。 - earliest_obs_date（首次观测日期）：该特定标记语首次向受访对象展示的日期。标记语从候选长列表中通过随机策略选取；研究过程中会新增标记语、删除旧标记语，同时可能调整标记语在抽样优先级中的排序。 - latest_obs_date（末次观测日期）：该标记语最近一次向受访对象展示的、距离当前日期最近的日期。 本数据集版本创建于2025年9月20日，数据为累计汇总版本。