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 2026-01-01 — cumulative data.个体自述契合X特征的比例为多少？ 本调研自2025年7月8日起，以每日频次对少量美国成年人随机样本开展追踪调查。受访者需回答多组形如「<标识语（signifier）>是否契合你今日的状态？」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： - signifier（标识语）：单词、短语或表情符号 - yes_count（肯定应答累计数）：全调研周期内选择肯定回答的受访者总人数 - no_count（否定应答累计数）：全调研周期内选择否定回答的受访者总人数 - prevalence_per_10k（万人占比估算值）：每10000名美国成年人中的预期肯定应答占比。即若对10000名美国成年人开展调研，预计将有多少人对该标识语给出肯定回答。该指标计算公式为：yes_count / (yes_count + no_count) × 10000 - earliest_obs_date（首次观测日期）：该标识语首次展示给受访者的日期。标识语从长列表中通过随机抽样选取，系统有时会新增标识语、移除旧标识语，或调整其抽样优先级以改变出现频次 - latest_obs_date（末次观测日期）：该标识语最近一次展示给受访者的日期，为距当前日期最近的观测时间 本数据集版本创建于2026年1月1日，包含累计调研数据。