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Channel

深圳嫩妹茶探府黑榜

@SZ_nmctf_hb

On this record: Growth · Engagement · Posts · Citations · Cite this entry

2,582subscribers

-277 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002489822890
TypeChannel
Username@SZ_nmctf_hb
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/SZ_nmctf_hb

Growth

2,5822,8592,720.56 August 2026 — 2,859 subscribers6 August 2026 — 2,859 subscribers7 August 2026 — 2,853 subscribers10 August 2026 — 2,761 subscribers13 August 2026 — 2,665 subscribers16 August 2026 — 2,582 subscribers6 August 202616 August 2026
6 measurements spanning 10 days, net -277. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 2,540–2,901 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 20:222,582-83
13 Aug 2026, 11:142,665-96
10 Aug 2026, 09:142,761-92
7 Aug 2026, 04:512,853-6
6 Aug 2026, 22:152,859no change
6 Aug 2026, 22:042,859first reading

Engagement

10 posts held, back to 15 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
38.0%
avg views ÷ 2,582 subscribers
Avg views / post
980
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
3
of 10 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 August 2026
Posts held10 (15 April 20263 August 2026)
Views total2,941
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:07 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.

Recent posts

3 Aug 2026, 12:35 UTC167 viewsread 7 August 2026
Photo

嫩妹榜单 @SZ_nmctf9 嫩妹报告 @SZ_nmctf7 嫩妹黑榜 @SZ_nmctf_hb 免费上榜 @SZ_nmctf8 双向联系 @SZ_nmctf_88bot ⚠️群里发言的老师,没有验证上榜的不要信⚠️被骗定金不要找我,定金最多一百,超过都是骗子,免费上榜,需要拍验证视频说出:今天日期我在深圳嫩妹茶探府。

31 Jul 2026, 13:04 UTC274 viewsread 7 August 2026

学生留名:YJY 老师名字:丢丢 时间日期:26/07/31 被骗金额:50 被骗过程:电报上约好时间,给了50定,到地方后失联。 老师电报:@diudiu1121

20 Jul 2026, 06:37 UTC≈2,500 viewsread 7 August 2026

深圳嫩妹茶探府黑榜差评 https://t.me/SZ_nmctf_hb 学生留名:6188 时间日期:7.20 被骗金额:600 被骗过程:也不是被骗了吧,看到照片以为是本人,结果来了个老几岁的 骗我说是美过颜的 但是你这美颜的也太离谱了吧 完完全全百分百不是本人 胸也是掉下来的 跟频道上百分百不是本人 服务流程:难评 老师电报:@lili5359

7 Jul 2026, 14:35 UTC≈2,790 viewsread 7 August 2026
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深圳嫩妹茶探府黑榜 学生留名:匿 时间日期:7.7 被骗金额:100 被骗过程:直接骗我路费 服务流程:无 老师电报 @zihan693

14 Jun 2026, 03:12 UTC≈3,050 viewsread 7 August 2026
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深圳嫩妹茶探府黑榜 学生留名:强盛集团 时间日期:6.14日21:00 被骗金额:700 被骗过程:人照不一致就算了,还没有任何服务,这个号是代聊。越想越生气,七百块钱吃个快餐,后面找他商量退点钱一直不回话,然后把我拉黑了 服务流程:没有任何服务,随便弄了两下就戴套做了 老师电报:@NSJM68

28 May 2026, 12:31 UTC≈3,160 viewsread 7 August 2026
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深圳嫩妹茶探府黑榜 学生留名:匿 时间日期:5.28 被骗金额:600 被骗过程:沟通联系好,结果是中介,挂羊头卖狗肉,房间黑暗也看不清,还要额外加钱,与实物完全不符,课表全假妥妥快餐 服务流程:纯快餐 老师电报:@qianqian6510

29 Apr 2026, 15:49 UTC≈3,540 viewsread 7 August 2026
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【深圳嫩妹茶探府报告】 【学生留名】:奶白的雪子 【日期时间】:4.29 【嫩妹花名】: # 【深圳坐标】: #深圳南山 【上课消费】:1400 【颜值身材】: 【服务内容】:前面正常联系,转了车费上门,人到了后楼下人多又黑,我扫了一眼就带上去了。进门后我说怎么比照片瘦这么多,妹子说打针瘦的,后面想着来都来了就做吧,而且口令红包一直要我直接念不要发给账号。完事后越想越不对劲,找这个账号对峙,一开始嘴硬说去的人就是本人,后面才说红休了叫的姐妹来的。 感觉就是这些🐔都是帮着叫的,然后就赌人都去了客人不会退,就算退了还能赚个车费。 必须曝光这种行为,太恶心人了。 【出击体验】: 【优点缺点】: 【联系方式】: 【总分打分】: 报告需要提供聊天记录或者消费截图。

29 Apr 2026, 14:52 UTC≈3,160 viewsread 7 August 2026

【深圳嫩妹茶探府报告】 【学生留名】:奶白的雪子 @whxjgh 【日期时间】:4.29 【嫩妹花名】: # 【深圳坐标】: #深圳南山 【上课消费】:1400 【颜值身材】: 【服务内容】:前面正常联系,转了车费上门,人到了后楼下人多又黑,我扫了一眼就带上去了。进门后我说怎么比照片瘦这么多,妹子说打针瘦的,后面想着来都来了就做吧,而且口令红包一直要我直接念不要发给账号。完事后越想越不对劲,找这个账号对峙,一开始嘴硬说去的人就是本人,后面才说红休了叫的姐妹来的。 感觉就是这些🐔都是帮着叫的,然后就赌人都去了客人不会退,就算退了还能赚个车费。 必须曝光这种行为,太恶心人了。 【出击体验】: 【优点缺点】: 【联系方式】: @whxjgh 【总分打分】: 报告需要提供聊天记录或者消费截图。

29 Apr 2026, 05:17 UTC≈3,080 viewsread 7 August 2026
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15 Apr 2026, 07:28 UTC≈3,440 viewsread 7 August 2026
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深圳嫩妹茶探府黑榜 学生留名:@Ally8568 时间日期:20260413 被骗金额:800 被骗过程:遥控上门 跑了十多公里过来 位置是小区 上门方式非常复杂 绕来绕去还要爬楼梯 到门口等发消息才开门 见到老师后支付了现金800 又说加200黑丝特色服务 给了钱后立马不一样了 洗澡没有 就拿湿巾酒精擦一下 简单口两下就做了 一直在催快点 完全没有任何服务 做完催你擦擦赶紧走 说还有人等着 真是恶心死了 快餐服务 服务流程:没有任何课表服务 老师电报:@pgpg5555

Showing the 10 most recent of 10 posts we hold for @SZ_nmctf_hb. 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

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“深圳嫩妹茶探府黑榜” (@SZ_nmctf_hb), 2,582 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/SZ_nmctf_hb.

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.