Telegram RegisterThe public register of Telegram

Channel

武汉技师点评

@GHNB6677

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

5,341subscribers

-151 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003917999424
TypeChannel
Username@GHNB6677
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
CreatedBetween 1 April 2026 and 31 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/GHNB6677

Growth

5,3415,4925,416.57 August 2026 — 5,492 subscribers8 August 2026 — 5,451 subscribers11 August 2026 — 5,341 subscribers7 August 202611 August 2026
3 measurements spanning 4 days, net -151. 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 5,318–5,515 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 13:125,341-110
8 Aug 2026, 12:025,451-41
7 Aug 2026, 18:035,492first reading

Engagement

33 posts held, back to 2 August 2026the 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 · 30 days
6.96%
avg views ÷ 5,341 subscribers
Avg views / post
372
33 posts measured
Reaction rate
0.294%
reactions ÷ views · ER floor
Posts in window
33
of 33 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. It is computed over the 4 of 33 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held33 (2 August 202611 August 2026)
Views total12,273
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:25 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
293
Videos
5
Links
9

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.

Reaction mix

4 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4100.0%

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 4 of the 33 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 2 August 2026 to 11 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.

Recent posts

11 Aug 2026, 16:15 UTC103 views1 reactionsread 12 August 2026
Photo

好评,99号妹子说话特温柔,服务周到,人美声甜,推荐兄弟们冲!

1

11 Aug 2026, 15:31 UTC121 viewsread 12 August 2026
Photo

99号名不虚传,身材很棒,该瘦的瘦,该有料的有料,人也很热情一直在找话题聊天,来之前以为会是老嫂子,但完全不是

11 Aug 2026, 14:44 UTC142 viewsread 12 August 2026
Photo

99号小姐姐情绪价值提供很足,声音嗲嗲的很酥,手法很到位 ,很满意的一次体验

11 Aug 2026, 09:36 UTC180 viewsread 12 August 2026
Photo

99号服务顶级,身材完美,按摩手法专业,活泼可爱,满意的一次体验

10 Aug 2026, 14:14 UTC247 viewsread 12 August 2026
Photo

99好评,妹子超级可爱,人也很健谈,服务也超级好,有喜欢的兄弟可以冲了

9 Aug 2026, 13:31 UTC302 viewsread 12 August 2026
Photo

99号 服务很优质 颜值很好 身材前凸后翘 技术非常到位 下次还来

9 Aug 2026, 13:01 UTC290 viewsread 12 August 2026
Photo

99号技师长大甜美。身材苗条。大长腿。服务很棒。很细心。会聊天。下次还会来找他。

9 Aug 2026, 07:09 UTC316 viewsread 12 August 2026
Photo

99号妹妹人美声甜,身材太绝了,性格也好好,从进门一直在活跃气氛,小白也可以被引导的很放松的体验服务不会紧张,技术太好了,酥酥麻麻直接被缴械了(

8 Aug 2026, 15:43 UTC350 viewsread 12 August 2026
Photo

99号,服务特别到位,要选就选99号,好看又实惠,身材非常哇塞

8 Aug 2026, 12:47 UTC330 viewsread 12 August 2026
Photo

刚进来的时候房间比较昏暗,然后第一个技师觉得不合适,换了一个,然后来了第二个!问还没有技师,说都在上钟,然后就这个了!没想到聊天过程中发现是99号,之前就看点评挺不错的,也是误闯天家了!99号很能给人提供情绪价值,服务过程中,也很认真卖力,整套服务下来,人也挺舒心的,下次来,可以二刷了!

Showing the 12 most recent of 33 posts we hold for @GHNB6677. 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

Citation-graph rank — 1,094,980 of 1,340,412entries 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.

Mentions

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.

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

“武汉技师点评” (@GHNB6677), 5,341 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/GHNB6677.

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.