门店新到01年小妹,66号,活很好,很会玩,
Signed 股神17670192176

Channel
@ZXH8877
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
5,520subscribers
-130 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1003922413998 |
|---|---|
| Type | Channel |
| Username | @ZXH8877 |
| Description | 店铺入口 : https://t.me/GHNB6677 🌹 店铺小老师频道 : https://t.me/ZXH8877 🏆机器人🤖请点击 : @NBG888bot |
| Created | Between 1 April 2026 and 17 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/ZXH8877 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 17:16 | 5,520 | -85 |
| 8 Aug 2026, 16:17 | 5,605 | -45 |
| 7 Aug 2026, 18:03 | 5,650 | first reading |
9 posts held, back to 17 July 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 7 pagesof Telegram’s post history, 20 posts per page.
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. It is computed over the 7 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 9 (17 July 2026 – 8 August 2026) |
| Views total | 32,179 |
| Reactions total | 44 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 04:11 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.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 3 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.
44 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 95.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 42 | 95.5% | |
| 😁 | 2 | 4.55% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 7 of the 9 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 44reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 17 July 2026 to 8 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
门店新到01年小妹,66号,活很好,很会玩,
Signed 股神17670192176
新到多位技师,
Signed 股神17670192176
新到04年技师,清纯小甜妹,刚下海教师,需要大哥调教,26号
❤6
Signed 股神17670192176
第二次工作日出击了(光谷真的远啊),不过也算不虚此行。店里位置挺隐蔽的,环境还不错,床挺大,除了卫生间小了点。前台小哥服务真的好,热情得很,帮忙拿水到房间,还说安排试钟(不过我只相信大众点评哈哈)等了10分钟终于见到今天主角99号,进来一句可以吗嗲嗲的,我还以为是个小夹子(后来她说本来就是这样说话的,让她夹一句她自己都笑了),黑丝女仆装扮,问了一下还有其他服装可以换,喜好这口的大哥可以去试试不同装扮😃。特色是背面服务,真的顶级啊,全程唇舌舔遍全身,果冻什么她不喜欢,说啥涩嘴巴啥的。嘴巴吸的老用力了(感觉都要被种出全身的草莓了哈哈),像嗦粉一样吧唧吧唧的,舌头加上🐻爽的一批啊,周末加班两天的疲劳都一扫而空了(太舒服了,头一次知道背部服务也可以这么爽啊,舔的快睡着了,感觉压力大的老哥这个都可以体验一个钟)。拍拍屁股换到正面,才发现几把都软了,可能是周末加班太疲惫,状态不太好,也有可能是背部刺激比掏鸡儿还爽,于是让小姐姐刺激刺激我让我…
❤13
Signed 股神17670192176
#4T 股神99号 今日探店探到了光谷股神家,依次看了好几个妹妹,来都来了,就想多看看,对比对比。经过CPU高速运转,综合分析得出99号最适合自己的口味:00年的妹妹,163左右的身高,面容姣好,身材曲线曼妙,一身女仆装,加上进门时候的嗓音都深深吸引了我。 简单沐浴后,妹妹很贴心的帮忙擦去背上的水,穿着女仆装,这是融入角色了?那我干脆也做回少爷。往床上一趴,等着仆人服侍我。妹妹露出双乳在我背上开始胸推,我顺势反手薅了一把,🐻不算大,B的样子,皮肤蛮光滑。接着妹妹凑近👂吹耳边风,并进行舔舐,让我产生一种颅内高潮的感觉,好不刺激!然后是进行背部过水吸皮,妹妹舌尖又软又灵活,酥酥麻麻的,一身的疲惫已散去大半。然后撅起屁股,妹妹的手法简直太流弊了,每一下都让我浑身颤抖,不仅仅偷我的桃子,还把管子跟龟头一并给顺了!妹纸问我需不需要用果冻达到后门高潮,我有点害怕肛裂,没敢尝试,必须我还是处男呢。。第一次,想必会很痛的吧,我可不想拉屎带出…
❤11😁2
Signed 股神17670192176
新到技师22号,小甜妹乖巧可爱,00年,
❤3
Signed 股神17670192176
明天晚上到这个顶美本人和图片一模一样兄弟们07年顶美明天晚上9点上线 预约客服:@NBG8877 双向机器人🤖: @NBG888bot 电话预约☎️: 17670192176 微信🛰️1️⃣预约:rcg222888 微信🛰️2️⃣预约:boss95710 QQ🐧1️⃣预约:3225243704 QQ🐧2️⃣预约:718184041
❤5
Signed 股神17670192176
营业中 兄弟们全场大空
❤3
Signed 股神17670192176
Photo, posted without a caption
❤1
Signed 股神17670192176
Showing the 9 most recent of 9 posts we hold for @ZXH8877. 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.
Citation-graph rank — 976,654 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
Named by 2 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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“武汉光谷技师频道” (@ZXH8877), 5,520 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/ZXH8877.
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.