😏🙁😞😞☹️😘😘😘😘 🇹🇼 婷柔 166.48.D+.25歲 💸 10000 /60min一節 #雙北 💸 24000 /240min三加一 #職業:醫美諮詢師 性感又熱情 身材火辣 奶型漂亮超誘人 妹妹的粉鮑渴望被你品嘗 69品鮑超爽 床上技巧高超 性感腰肢女上位晃到你著迷 🌧️🌧️🌧️🌧️🌧️🤩🌧️🌧️🌧️🌧️🌧️ ⭐YC0909 🌐@YC09091 ✨全台班表 ✨客評專區 🎀點擊一鍵加喝茶懶人包 🎀來者皆客 好茶待之
Signed 🦋妍女士

Channel
@YAN8891
On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry
833subscribers
+51 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002552038234 |
|---|---|
| Type | Channel |
| Username | @YAN8891 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 12 October 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 12 October 2026 |
| On Telegram | t.me/YAN8891 |
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 20 September 2026 and assigned it the closest of 31 fixed categories, at 83% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Oct 2026, 19:21 | 833 | +9 |
| 3 Oct 2026, 00:19 | 824 | -1 |
| 18 Sept 2026, 21:59 | 825 | +8 |
| 11 Sept 2026, 05:40 | 817 | +16 |
| 1 Sept 2026, 14:16 | 801 | +2 |
| 25 Aug 2026, 00:57 | 799 | +13 |
| 16 Aug 2026, 17:58 | 786 | +5 |
| 8 Aug 2026, 13:48 | 781 | -1 |
| 8 Aug 2026, 01:47 | 782 | no change |
| 7 Aug 2026, 15:44 | 782 | first reading |
5 posts held, back to 5 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 5 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
😏🙁😞😞☹️😘😘😘😘 🇹🇼 婷柔 166.48.D+.25歲 💸 10000 /60min一節 #雙北 💸 24000 /240min三加一 #職業:醫美諮詢師 性感又熱情 身材火辣 奶型漂亮超誘人 妹妹的粉鮑渴望被你品嘗 69品鮑超爽 床上技巧高超 性感腰肢女上位晃到你著迷 🌧️🌧️🌧️🌧️🌧️🤩🌧️🌧️🌧️🌧️🌧️ ⭐YC0909 🌐@YC09091 ✨全台班表 ✨客評專區 🎀點擊一鍵加喝茶懶人包 🎀來者皆客 好茶待之
Signed 🦋妍女士
😏🙁😞😞☹️😘😘😘😘 🇹🇼 曉露 162.48.D.23歲 💸 10000 /60min一節 #雙北 💸 27000 /240min三加一 #職業:網拍客服正妹 短髮女神外貌佳 身材性感火辣 皮膚白嫩 軟綿D奶 水嫩緊緻 身體散發迷人奶香味 無套吹帶套做 吃過都說超讚 用過都說好 🌧️🌧️🌧️🌧️🌧️🤩🌧️🌧️🌧️🌧️🌧️ ⭐YC0909 🌐@YC09091 ✨全台班表 ✨客評專區 🎀點擊一鍵加喝茶懶人包 🎀來者皆客 好茶待之
Signed 🦋妍女士
😏🙁😞😞☹️😘😘😘😘 🇹🇼 依戀 168.47.C+.27歲 💸 8000 /50min 一節 #雙北 💸 18000 /200min三加一 #職業:芳療師 淫蕩人妻 簡直就是BJ女王 作風大膽 人很漂亮 愛穿情趣裝 前凸後翹 奶子大又Q 口技超贊 會在龜頭敏感處 打圈圈再吸舔喲~ 🌧️🌧️🌧️🌧️🌧️🤩🌧️🌧️🌧️🌧️🌧️ ⭐YC0909 🌐@YC09091 ✨全台班表 ✨客評專區 🎀點擊一鍵加喝茶懶人包 🎀來者皆客 好茶待之
Signed 🦋妍女士
😏🙁😞😞☹️😘😘😘😘 🇹🇼 彩英 160.47.C.28歲 💸 6000 /50min 一節 #雙北 💸 15000 /200min三加一 #職業:餐廳外場 氣質淫蕩小女人 甜美笑容很有感染力 含舔吸吹樣樣精通~舌頭很會挑逗 做完還會給哥哥溫柔按摩 讓你徹底放鬆 🌧️🌧️🌧️🌧️🌧️🤩🌧️🌧️🌧️🌧️🌧️ ⭐YC0909 🌐@YC09091 ✨全台班表 ✨客評專區 🎀點擊一鍵加喝茶懶人包 🎀來者皆客 好茶待之
Signed 🦋妍女士
😏🙁😞😞☹️😘😘😘😘 🇹🇼 陳意 155.43.C+.20歲 💸 10000 /60min #雙北 #職業:會計師 長相甜美可愛 宅男最愛的女神款 有在KFC兼職哦 妹妹兼職到9月開學 很好配合ㄛ~喜歡小隻馬的哥哥可以密妍 🌧️🌧️🌧️🌧️🌧️🤩🌧️🌧️🌧️🌧️🌧️ ⭐YC0909 🌐@YC09091 ✨全台班表 ✨客評專區 🎀點擊一鍵加喝茶懶人包 🎀來者皆客 好茶待之
Signed 🦋妍女士
Showing the 5 most recent of 5 posts we hold for @YAN8891. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
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 12 October 2026 — this entry's latest reading, not the date you are reading this.
“北部本土+Gleezy :YC0909” (@YAN8891), 833 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/YAN8891.
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.