编号:2608091039 (点击复制) 🔍 点击查看验证视频 ⭐ 点击收藏该资源 ⭐ 省份: 云南 城市: 昆明 年龄:21 身高:168 体重:95 罩杯:B➕ 学历: 职业:学生 是否是处女:否 可不可以口:可 能不能内🐍:否 能不能无🍑:否 是否接受SM:轻微 有没有纹身:🈚 是否可外省:可 是否有护照:否 是否可过夜:可 可不可以同居:都 月可陪伴天数:随便 大概姨妈日期:不准 找金主的原因:缺钱 一天生活费多少:2K 三天生活费多少:6k 分几次给生活费:俩次 自我介绍加分项:本人比照片好看 对老板雷点(不接受):油腻 介绍费:7888 宝马C 100U入会,首单6折,单单打折 #云南包养 #昆明包养 #西双版纳包养 💰支持比价介绍费可给最低 包养须知➡️➡️ @txxr888 ⚠️骗子曝光 @baomei888 🤖双向机器人 @tianxinbaoyang_bot 🏆入会联系客服看视频认证

Channel
云南包养|甜心包养云南频道
@txyn888
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
68subscribers
-22 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003477150823 |
|---|---|
| Type | Channel |
| Username | @txyn888 |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/txyn888 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 06:38 | 68 | -5 |
| 21 Aug 2026, 21:05 | 73 | -11 |
| 15 Aug 2026, 16:36 | 84 | -6 |
| 9 Aug 2026, 14:45 | 90 | no change |
| 7 Aug 2026, 20:02 | 90 | first reading |
Engagement
5 posts held, back to 9 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.82%
- avg views ÷ 68 subscribers
- Avg views / post
- 2.6
- 5 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 5
- of 5 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 9 August 2026 |
|---|---|
| Posts held | 5 (9 August 2026 – 9 August 2026) |
| Views total | 13 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 14:45 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Video runtime
- 11s
- Average length
- 11s
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Recent posts
编号:2608090807 (点击复制) 🔍 点击查看验证视频 ⭐ 点击收藏该资源 ⭐ 省份:云南 城市:昆明 年龄:18 身高:162 体重:40kg 罩杯:B 是否是chu女:否 可不可以口:可 能不能内设:可 能不能无套:可 SM能不能:轻微 有没有纹身:有 是否可外省:可 是否可过夜:可 可不可以同居:可 月可陪伴天数:3 大概姨妈日期:月底 月生活费多少:5000 分几次给生活费:2 自我介绍加分项:乖 听话 会打瓦 对老板雷点(不接受): 介绍费:7888 兰桂坊-小香 888RMB入会,单单享折扣 #云南包养 #昆明包养 #西双版纳包养 ❤️甜心包养 专注云南包养 包养须知➡️➡️ @txxr888 ❤️甜心客服 @baomei888 🤖双向机器人 @tianxinbaoyang_bot 🏆入会联系客服看视频认证
编号:2608090789 (点击复制) 🔍 点击查看验证视频 ⭐ 点击收藏该资源 ⭐ af082 昵称: WZS364 所在省份:云南省 所在城市:临沧市 年龄:18 身高:160 体重:90~95 罩杯:c 当前职业:无 是否chu女:否 能否接受sm(轻中重度):否 能否接受口:勉强 能否接受体检后无tao :能 能否接受体检后内se :否 能否同居:能 能否过夜:能 每月可陪伴天数: 3 期望生活费多少:2k 生活费分几次付(2-4次):2次 能否飞往其他城市:云南省以内可以 能否去港/澳:否 自我加分项(优点优势 如两性技巧等):没有 最快见面时间:一个星期后 姨妈日期:这个不准 雷点(不能接受):打我 年纪太大 介绍费:7888TT 888RMB入会,单单享折扣 #云南包养 #昆明包养 #西双版纳包养 ❤️甜心包养 专注云南包养 包养须知➡️➡️ @txxr888 ❤️甜心客服 @baomei888…
编号:2608090782 (点击复制) 🔍 点击查看验证视频 ⭐ 点击收藏该资源 ⭐ 省份;云南f30 城市;昆明 年龄:23 身高:165 体重:49 🐻杯: c 职业:白班 能否飞外地:周末或假期 能否过夜/同居:周末或假期 是否抽烟/纹身:否 能否kou:能 能否体检后不d/🐍:否 预期费用:3w 每🈷️可陪天数: 3天1w 10天3w 能否接受sm :否 是否chu女: 否 可分几次付:2 姨妈时间:月初 是否可去港澳;是 自我加分项: 雷点(不接受): 介绍费:6888鱼鱼 888RMB入会,单单享折扣 #云南包养 #昆明包养 #西双版纳包养 ❤️甜心包养 专注云南包养 包养须知➡️➡️ @txxr888 ❤️甜心客服 @baomei888 🤖双向机器人 @tianxinbaoyang_bot 🏆入会联系客服看视频认证
编号:2608090781 (点击复制) 🔍 点击查看验证视频 ⭐ 点击收藏该资源 ⭐ 省份;云南f29 城市;昆明 年龄:23 身高:165 体重:50 🐻杯:A 职业:美甲 能否飞外地:能 能否过夜/同居:能 是否抽烟/纹身:抽烟,有纹身 能否kou:能 能否体检后不d/🐍: 可不带 内看情况 预期费用:2W 每🈷️可陪天数:3天1w 7天2w 能否接受sm :不能 是否chu女: 不是 可分几次付:2 姨妈时间:月底 是否可去港澳;不能 自我加分项:性格好,会聊天,能给他带来情趣价值 雷点(不接受): 介绍费:6888鱼鱼 888RMB入会,单单享折扣 #云南包养 #昆明包养 #西双版纳包养 ❤️甜心包养 专注云南包养 包养须知➡️➡️ @txxr888 ❤️甜心客服 @baomei888 🤖双向机器人 @tianxinbaoyang_bot 🏆入会联系客服看视频认证
Showing the 5 most recent of 5 posts we hold for @txyn888. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 29 August 2026 — this entry's latest reading, not the date you are reading this.
“云南包养|甜心包养云南频道” (@txyn888), 68 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/txyn888.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.