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 2026-02-01 — cumulative data.个体声称自身符合特征X的比例是多少？ 本调研始于2025年7月8日，以每日频次对少量美国成年随机样本开展问卷调查。受访者需回答大量形如「<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 - yes_count：选择「是」的受访者总人数（累计全量统计） - no_count：选择「否」的受访者总人数（累计全量统计） - prevalence_per_10k：每10000人的流行率估算值。即若调研10000名美国成年人，预计会有多少人选择「是」来匹配该标识符。该值通过公式 yes_count / (yes_count + no_count) * 10000 计算得到。 - earliest_obs_date：该标识符首次展示给受访者的日期。标识符从长清单中随机抽取；有时会新增标识符，有时会删除旧标识符，且标识符的抽样优先级可能会上下调整。 - latest_obs_date：该标识符最近一次展示给受访者的日期，即距离当前日期最近的展示日期。 本数据集版本创建于2026年2月1日，包含累计调研数据。