━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #洪山 #街道口 #大胸 #御姐 #6p #舌 #毒龙 #口暴 #服务 👤 老师:九月 (@shanyaodexingxing) 🔗 主页:https://t.me/wuhanhua1/23176?single ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★☆ 4/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 老师新上榜,胸大,御姐,一看就是喜欢的类型;果然,玩得开,技术好,身材也不错;肚子上有肉,不过不影响。就是太难停车了,商城特别堵 具体细节就不说了,反正老师会夹,而且还可以拍照,换姿势。特别nice 推荐,喜欢这类型的,可以直接去 ━━━━━━━━━━━━━━ 🙋 评价人:孟德 (@thir16) 🕒 时间:2026-09-26 22:55 ━━━━━…
Channel
九月朋友圈
@jius34v
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
84subscribers
+70 since we began measuring on 27 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003854385199 |
|---|---|
| Type | Channel |
| Username | @jius34v |
| Created | 26 September 2026 — measured — dated from the channel’s first post |
| First recorded | 27 September 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/jius34v |
Topic
Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 14 October 2026 and assigned it the closest of 31 fixed categories, at 56% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 22:47 | 84 | +5 |
| 3 Nov 2026, 14:27 | 79 | +4 |
| 26 Oct 2026, 20:18 | 75 | +1 |
| 19 Oct 2026, 20:37 | 74 | +3 |
| 13 Oct 2026, 21:06 | 71 | +14 |
| 4 Oct 2026, 17:21 | 57 | +43 |
| 27 Sept 2026, 00:22 | 14 | first reading |
Engagement
11 posts held, back to 26 September 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 11 posts for this entry, the most recent from 26 September 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 15s
- Average length
- 15s
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
━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷️ #洪山 #街道口 #大胸 #御姐 #6p #舌 #毒龙 #口暴 #服务 👤 老师:九月 (@shanyaodexingxing) 🔗 主页:https://t.me/wuhanhua1/23176?single ⭐ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★☆ 4/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 老师新上榜,胸大,御姐,一看就是喜欢的类型;果然,玩得开,技术好,身材也不错;肚子上有肉,不过不影响。就是太难停车了,商城特别堵 具体细节就不说了,反正老师会夹,而且还可以拍照,换姿势。特别nice 推荐,喜欢这类型的,可以直接去 ━━━━━━━━━━━━━━ 🙋 评价人:孟德 (@thir16) 🕒 时间:2026-09-26 22:55 ━━━━━…
https://t.me/wuhanhua1/23176
https://t.me/wuhanhua1/23176
1课6p 2课11pp
身高164 体重100 胸围D 年龄25
陪浴🛀 指压放松 🐻胸推 臀推 👙丝袜诱惑 调情 舔胸舔🥚 深喉 口拔罐 360度旋转吹箫 过水 漫游全身 高山流水 毒🐉 解锁各位姿势啪啪
@jiud36bot
Photo, posted without a caption
https://t.me/jius34v
Channel created
Showing the 11 most recent of 11 posts we hold for @jius34v. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“九月朋友圈” (@jius34v), 84 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/jius34v.
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.