【无锡老司机认证】 花名: #奶多多 车牌: @wxnaiduoduo 频道:https://t.me/naiduoduo1 车费: #700p #1300PP 位置: #新吴区 标签: #舌吻 #69 #胸推 #漫游 #口爆 #舌吻 #女上调情 #陪浴 #水中萧 #有各种丝袜制服配合~ 注: 【我是奶多多,胸大无科技,皮肤白长发,服务齐全态度极好 !女友感十足,不催不事,配合度高,期待哥哥们前来调教!】 优惠情况:群内可使用积分兑换出击优惠 🟢无锡老司机大群: https://t.me/+9rTTT4eT_nVkZWI0 🟢无锡其他资源群: @WUXILAOSIJI 📝 给老师写评价 🔍 查看老师所有评价

Channel
无锡老师新榜【候选榜单】
@wuxilaoshi8
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
16,760subscribers
+432 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002744449117 |
|---|---|
| Type | Channel |
| Username | @wuxilaoshi8 |
| Created | Between 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/wuxilaoshi8 |
Topic
Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 03:01 | 16,760 | +34 |
| 14 Sept 2026, 20:18 | 16,726 | -4 |
| 13 Sept 2026, 05:41 | 16,730 | -12 |
| 11 Sept 2026, 08:17 | 16,742 | +49 |
| 8 Sept 2026, 11:15 | 16,693 | +6 |
| 5 Sept 2026, 06:00 | 16,687 | +21 |
| 3 Sept 2026, 14:17 | 16,666 | +35 |
| 2 Sept 2026, 05:13 | 16,631 | +4 |
| 1 Sept 2026, 06:02 | 16,627 | +22 |
| 31 Aug 2026, 05:48 | 16,605 | +11 |
| 30 Aug 2026, 04:14 | 16,594 | +26 |
| 29 Aug 2026, 01:44 | 16,568 | +8 |
| 28 Aug 2026, 01:07 | 16,560 | +35 |
| 27 Aug 2026, 02:13 | 16,525 | +9 |
| 26 Aug 2026, 00:53 | 16,516 | +5 |
| 25 Aug 2026, 04:25 | 16,511 | +17 |
| 24 Aug 2026, 03:27 | 16,494 | +19 |
| 22 Aug 2026, 09:13 | 16,475 | +35 |
| 20 Aug 2026, 20:08 | 16,440 | +19 |
| 19 Aug 2026, 21:42 | 16,421 | first reading |
Engagement
51 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 56 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.82%
- avg views ÷ 16,760 subscribers
- Avg views / post
- 1,480
- 20 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 22
- of 51 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 2 September 2026 |
|---|---|
| Posts held | 51 (5 August 2026 – 2 September 2026) |
| Views total | 29,576 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 09:46 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
- 6m 28s
- Average length
- 11s
Measured directly from 35 videos 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
无锡老司机【聊天群】 开课老师查询 新老师实习榜单 嫩妹榜单 认证优质严选榜 上榜联系 老师:@Mk888521 老师频道:@MK888520 验证报告发布: @CHAXUNJIRIREN_bot #滨湖区 #漫游 #过水 #胸推 #指滑 #调情 #口痧 #拔罐 #口活#👩🏻咪咪💓👩🏻蛋蛋💓69💓丝袜情趣诱惑,法式情趣内衣,性感蕾丝吊带,纯欲白衬衫,眼罩视觉诱惑,面具,各种情趣内衣可随意挑选,可车震,女友感,
无锡老司机【聊天群】 开课老师查询 新老师实习榜单 嫩妹榜单 认证优质严选榜 上榜联系 九黎老师:@jiuli555 老师频道:https://t.me/jiuli55555 #滨湖区 #少妇 #深喉 #AB面 #毒龙 #服务系 #情趣丝袜 #调情
【无锡老司机认证】 花名: #十七 车牌: @MasonCole7994 频道:https://t.me/coiolniojmj999 车费: #700p #1300PP 位置: #新吴区 标签: #吸咪咪 #吸蛋蛋 #女上调情 #陪浴 #丝足 #有各种丝袜制服配合~ 注: 【我是十七,上海模特兼职,极品黑丝大长腿,皮肤白长发,服务齐全态度极好 !女友感十足,不催不事,配合度高,期待哥哥们前来调教!】 优惠情况:群内可使用积分兑换出击优惠 🟢无锡老司机大群: https://t.me/+9rTTT4eT_nVkZWI0 🟢无锡其他资源群: @WUXILAOSIJI 📝 给老师写评价 🔍 查看老师所有评价
无锡老司机聊天群 候选榜单 认证榜单 上榜联系 吉吉🐰 电话 : 17851927412 @wxjjt123 老师频道: https://t.me/wxjjt1234 验证报告发布: @WXBG_bot
加群入口: 无锡老司机【加群入口】 开课老师查询 新老师实习榜单 嫩妹榜单 认证优质严选榜 上榜联系 【双向点此】 无锡一键加入 钱钱老师: @qqsmxa 频道:@qqsmxb #梁溪区 #健身 #御姐 #蜜桃臀 #蛇纹 #69 #女友感 #无纹身#不抽烟 #陪浴 #情趣丝袜
加群入口: 无锡老司机【加群入口】 开课老师查询 新老师实习榜单 嫩妹榜单 认证优质严选榜 上榜联系 【双向点此】 无锡一键加入 浅浅老师新号:@l9688880 老师频道:@xinqianqian123 验证报告发布: @CHAXUNJIRIREN_bot #梁溪区 #陪浴 #胸推 #包时 #舌吻 #六九 #情趣丝袜
【无锡老司机认证】 花名: #妮妮 车牌: @nini9986 频道:https://t.me/xiaogushinini 车费: #700p #1400pp 位置: #梁溪区 标签: #毒龙 #舌吻 #舔奶 #过水 #陪浴 #全套AB面 #有各种丝袜制服配合~ 注: 【我是妮妮,胸大无科技,护士兼职,皮肤白长发,服务齐全态度极好 !女友感十足,不催不事,配合度高,期待哥哥们前来调教!】 优惠情况:群内可使用积分兑换出击优惠 🟢无锡老司机大群: https://t.me/+9rTTT4eT_nVkZWI0 🟢无锡其他资源群: @WUXILAOSIJI 📝 给老师写评价 🔍 查看老师所有评价
加群入口: @WUXI_LAOSIJI 开课老师查询 新老师实习榜单 嫩妹榜单 认证优质严选榜 上榜联系 【双向点此】 无锡一键加入 呆呆酱老师:@WUXIDDJ 老师课表:@WUXIDAIDAIJIANG 验证报告发布: @CHAXUNJIRIREN_bot
加群入口: @WUXI_LAOSIJI 开课老师查询 新老师实习榜单 嫩妹榜单 认证优质严选榜 上榜联系 【双向点此】 无锡一键加入 卷卷老师:@meimeiyyds 老师课表:@hihwji 验证报告发布: @CHAXUNJIRIREN_bot
【无锡老司机认证】 花名: #楚楚 车牌: @chuchubaby1 频道:@chuchubaby3 车费: #1000p(45分钟) #1800pp (90分钟) #包2小时2500(不限次) 位置: #无锡 标签:#可69、#可舌吻(无口臭)、#水中萧、#指滑调情、#制服、#丝袜、#花式口活、 注: 【我是楚楚,乖巧听话,配合度高,热恋女友般的体验,服务齐全态度极好 !不催不事,配合度高,期待哥哥们前来调教!】 优惠情况:群内可使用积分兑换出击优惠 🟢无锡老司机大群: https://t.me/+9rTTT4eT_nVkZWI0 🟢无锡其他资源群: @WUXILAOSIJI 📝 给老师写评价 🔍 查看老师所有评价
加群入口: 无锡老司机【加群入口】 开课老师查询 新老师实习榜单 嫩妹榜单 认证优质严选榜 上榜联系 【双向点此】 无锡一键加入 老师:@wxmumu 频道: https://t.me/wuximumu #新吴区 #舌吻 #大胸 #水多 #御姐 #不抽烟 #女友感
Showing the 12 most recent of 51 posts we hold for @wuxilaoshi8. 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
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.
Mentions
Named by 5 registered channels — 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.
@wuxilaoshibang · 14,13234 posts无锡嫩妹榜
@WUXINENMEIBANG · 3,12133 posts无锡老司机【修车指南】
@WUXILIANGXIQU · 5,51318 posts无锡老司机
@WUXI_LAOSIJI · 39,34010 posts170岚心自聊
@lanxin8898 · 2,1733 posts安然 02 169
@anran05367 · 4011 post团子的朋友圈
@bz998800 · 1,0171 post十七/车模/黑丝大长腿小屋
@coiolniojmj999 · 2981 postjenny的朋友圈(无锡支教
@fs_jenny12345 · 4,4991 post无锡-芸溪老师个人频道
@IRAI27Kio0A1OGQ1 · 5441 post米可
@MK888520 · 2171 post无锡全区外出上门上官燕38F真胸
@sgyan0989 · 2,2981 post红豆的日常
@tang628314 · 901 post苏州交友 王嘉琪 可三通🏠
@wjqdzhkk77 · 4,0061 post无锡呆呆酱【可SM舌吻】
@WUXIDAIDAIJIANG · 3,6841 post无锡(爱跳舞的姗姗)
@wuxigerenlaoshi · 3,4581 post莉宝贝私密空间
@WUXILAOSHI22 · 9541 post1新老师
@WUXILAOSHI31 · 521 post小汐【无锡老司机】
@WUXILAOSIJI14 · 6381 post初初的喵喵屋
@WUXILAOSIJI15 · 1,7491 post风花若雪~无锡
@WUXILAOSIJI19 · 9531 post💕后宫三千富豪💕
@wxtx668 · 221 post妮妮秘密基地😇
@xiaogushinini · 1,3671 post人妻小希(无锡兼职接单)
@xiaoxihhhh · 6341 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@wuxilaoshi8 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 2 posts, 10 August 2026 – 11 August 2026 · confirmed gone 11 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“无锡老师新榜【候选榜单】” (@wuxilaoshi8), 16,760 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/wuxilaoshi8.
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.