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Channel
深圳嫩妹茶探府【修车榜单】
@SZ_nmctf9
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
30,858subscribers
-2,288 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002687639468 |
|---|---|
| Type | Channel |
| Username | @SZ_nmctf9 |
| Description | 上榜联系 @SZ_nmctf8 备用榜单 @sznmctf1 嫩妹轮播 @SZ_nmctt 嫩妹主群 @SZ_nmctm 嫩妹报告 @SZ_nmctf7 嫩妹黑榜 @SZ_nmctf_hb 双向联系 @SZ_nmctf_88bot |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/SZ_nmctf9 |
Topic
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 79% 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 |
|---|---|---|
| 17 Sept 2026, 21:02 | 30,858 | -417 |
| 15 Sept 2026, 20:20 | 31,275 | +238 |
| 14 Sept 2026, 04:17 | 31,037 | +155 |
| 12 Sept 2026, 08:16 | 30,882 | -275 |
| 10 Sept 2026, 01:58 | 31,157 | -281 |
| 6 Sept 2026, 15:42 | 31,438 | -926 |
| 4 Sept 2026, 04:40 | 32,364 | -70 |
| 2 Sept 2026, 18:09 | 32,434 | -485 |
| 1 Sept 2026, 14:45 | 32,919 | -498 |
| 31 Aug 2026, 12:55 | 33,417 | +69 |
| 30 Aug 2026, 10:34 | 33,348 | -28 |
| 29 Aug 2026, 07:36 | 33,376 | -56 |
| 28 Aug 2026, 06:17 | 33,432 | +39 |
| 27 Aug 2026, 04:07 | 33,393 | +17 |
| 26 Aug 2026, 04:52 | 33,376 | -65 |
| 25 Aug 2026, 04:22 | 33,441 | -25 |
| 24 Aug 2026, 03:42 | 33,466 | -94 |
| 22 Aug 2026, 14:32 | 33,560 | -236 |
| 21 Aug 2026, 02:54 | 33,796 | -130 |
| 20 Aug 2026, 05:53 | 33,926 | first reading |
Engagement
155 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 78 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.74%
- avg views ÷ 30,858 subscribers
- Avg views / post
- 1,150
- 86 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 86
- of 155 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 22 September 2026 |
|---|---|
| Posts held | 155 (5 August 2026 – 22 September 2026) |
| Views total | 99,124 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 21:11 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
- Photos
- ≈3,170
- Videos
- ≈476
- Links
- ≈721
Lifetime counters from Telegram’s own channel header, read 22 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 10m 03s
- Average length
- 10s
Measured directly from 58 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
嫩妹:#兔兔 深圳:#龙华 私聊:@kdjndbs 双向:@tutu7937_bot 频道:https://t.me/nsnnfjdj 消费:1000p 1800pp 验证:视频已验证✅
嫩妹:#乔伊伊 深圳:#福田 私聊:@Qiao118801 双向:@qiao11_bot 频道:https://t.me/+CWaXDoGeDNFlNTAx 消费:998p 1788pp 验证:视频已验证✅
嫩妹:#诗诗 深圳:#福田 私聊:@shishi12580 双向:@shishi2007_bot 频道:https://t.me/+rQ-AmbD2FXE4ZDdl 消费:1300p 2200pp 验证:视频已验证✅
嫩妹:#草莓(学生) 深圳:#福田 私聊:@qiqi07780 双向:@qiqi0778qbot 频道:https://t.me/qqwrtu 消费:1400p 2800pp 验证:视频已验证✅
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嫩妹:#柳如烟 深圳:#龙华 私聊:@liuruyan68 双向:@liuriyan_bot 频道:https://t.me/liuriyan66 消费:700p 1300pp 验证:视频已验证✅
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龙岗琳琳 @qwertyuizxcvbn 发3张100优惠券,需要写报告。
嫩妹:#琳琳 深圳:#龙岗 私聊:@qwertyuizxcvbn 双向:@dndbsush292_bot 频道:https://t.me/dghjbv12 消费:800p 1500pp 验证:视频已验证✅
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Showing the 12 most recent of 155 posts we hold for @SZ_nmctf9. 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 17 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.
@SZ_nmctf7 · 15,70434 postsLotteryBest抽奖导航
@lotterynav · 174,17815 posts深圳嫩妹茶探府【老师优惠劵】
@sz_nmctf_yhj · 1,6267 posts静宜的频道
@wan_dao · 5,2812 posts南山 姬子 · 启行っぽい 嫩妹抓龙筋SPA
@wtqq168 · 14,5382 posts福田橙橙
@chengchebg231 · 4541 post温雅个人濒道
@dthsbsijbxbehiijjd · 1,0391 post冉冉生活圈
@fbnn97 · 2931 post南山 茉莉(可拍片)
@iy5545 · 3,1661 post嘉怡的小花园
@jiayi123106 · 4631 post南山 思欲 疗愈半裸抓龙筋SPA
@Lxzlj52000 · 3,8951 post南山雲栖 私享疗愈抓龙筋SPA
@ly888999iy · 2,8371 post美芽🌱的粉丝小窝
@meiyail5 · 1,0211 post南山 梦境·漫语裸身古法抓龙筋 SPA
@mjmy12888 · 3,2161 post深圳嫩妹茶探府黑榜
@SZ_nmctf_hb · 2,2211 post深圳嫩妹茶探府【验证资源】
@sznmctf1 · 6,3391 post深圳宝安石岩楠楠
@yqslhd168 · 9521 post
Names
Channels on the register whose handles appear in this channel's posts.
@lotterynav · 174,17828 posts深圳嫩妹茶探府【出击报告】
@SZ_nmctf7 · 15,70428 posts深圳嫩妹茶探府
@SZ_nmctm · 30,83828 posts深圳嫩妹茶探府【轮播群】
@SZ_nmctt · 18,14128 posts深圳嫩妹茶探府【导航群】
@SZnmtf8 · 2,20226 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,747,98010 posts江晚晴💘私密朋友圈
@jwqing99 · 7,9934 postsLotteryBest Bot
@LotteryBestBot · 99,1834 posts❤️南山芊芊私密圈❤️
@qianqian8120 · 3,1424 posts静宜的频道
@wan_dao · 5,2814 posts南山 嘉嘉
@ee35564 · 4,5593 posts南山 茉莉(可拍片)
@iy5545 · 3,1663 posts福田橙橙
@chengchebg231 · 4542 posts深圳南山顶流36E柳如烟女神🥰
@cuurz270 · 6,7762 posts沈月💐💐个人频道
@dingding0128 · 272 posts深圳。艾喜悅。高端。SPA
@i4u123spa · 15,7422 posts南山 思欲 疗愈半裸抓龙筋SPA
@Lxzlj52000 · 3,8952 posts南山 梦境·漫语裸身古法抓龙筋 SPA
@mjmy12888 · 3,2162 posts深圳南山小花老师疗愈抓龙筋城堡
@nsxh1xh520 · 8,0042 posts19岁草莓的朋友圈
@qqwrtu · 3,0092 posts初见·疗愈半裸抓龙筋
@szlhrispa · 10,0052 posts宝安小鱼 朋友圈(🉑上门)
@xiaoyu2013 · 1,8032 posts深圳汐沅潮喷💦🉑SM🉑上门🉑户外🫦🫦
@xiyuan066 · 8,6492 posts全国包养萝莉/处女/学妹(广告频道)
@zcxc589 · 22 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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“深圳嫩妹茶探府【修车榜单】” (@SZ_nmctf9), 30,858 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/SZ_nmctf9.
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.