Telegram RegisterThe public register of Telegram

Channel

武汉顶美点评

@NBN8899

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

5,981subscribers

+5 since we began measuring on 12 August 2026

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

Register entry

Telegram ID-1004407400141
TypeChannel
Username@NBN8899
CreatedBetween 1 June 2026 and 12 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live13 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/NBN8899

Growth

5,9765,9815,978.512 Aug 2026, 18:47 — 5,976 subscribers13 Aug 2026, 07:44 — 5,981 subscribers12 Aug 2026, 18:4713 Aug 2026, 07:44
2 measurements taken within a single day, net +5. 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 5,975–5,982 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 07:445,981+5
12 Aug 2026, 18:475,976first reading

Engagement

12 posts held, back to 12 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.03%
avg views ÷ 5,981 subscribers
Avg views / post
241
11 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
12
of 12 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 12 August 2026
Posts held12 (12 August 202612 August 2026)
Views total2,650
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:47 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
19s
Average length
19s

Measured directly from 1 video 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

12 Aug 2026, 17:20 UTC83 viewsread 12 August 2026
Photo

预约客服:@HZ88007 双向机器人🤖: @NB5887bot 电话预约☎️: 18162349983 微信1️⃣:Z555L222H000 微信2️⃣:W888Z999Y888 QQ1️⃣:2980228817 QQ2️⃣:2019210854

12 Aug 2026, 13:23 UTC928 viewsread 12 August 2026
Photo

🔰武汉全场嫩妹会所大海选🔰 🌈新店开业大酬宾 全场400🎉 🔰 湖武汉市嫩妹全场全裸9T 🔰 🔰金牌客服:@HZ88007 🔰加入技师点评频道:https://t.me/NBN8899 🔰技师频道 : https://t.me/NBB8887 🔰加入群组 : https://t.me/RCG8899 🔰双向机器人🤖: @NB5887bot 🔰电话预约☎️: 18162349983 🔰微信🛰️1️⃣预约:Z555L222H000 🏅微信2️⃣预约:W888Z999Y888 🔰QQ🐧1️⃣预约:2980228817 🏅QQ🐧2️⃣预约:2019210854 👑(武汉市超级全裸9T升级版)🔰 🔰原价:5️⃣9️⃣9️⃣预约价4️⃣0️⃣0️⃣ 🔰[评价三十个字加拍照图片优惠🔰 🔰买单价格:4️⃣0️⃣0️⃣元🔰 🔰免费提供各类情趣丝袜可带走🔰 🔰服务时间60分钟.(满钟)🔰 🔰全场高颜值 主打00后嫩妹🔰 🔰不办

12 Aug 2026, 11:48 UTC244 viewsread 12 August 2026
Photo

预约客服:@HZ88007 双向机器人🤖: @NB5887bot 电话预约☎️: 18162349983 微信1️⃣:Z555L222H000 微信2️⃣:W888Z999Y888 QQ1️⃣:2980228817 QQ2️⃣:2019210854

12 Aug 2026, 11:48 UTC225 viewsread 12 August 2026
Photo

预约客服:@HZ88007 双向机器人🤖: @NB5887bot 电话预约☎️: 18162349983 微信1️⃣:Z555L222H000 微信2️⃣:W888Z999Y888 QQ1️⃣:2980228817 QQ2️⃣:2019210854

12 Aug 2026, 11:48 UTC204 viewsread 12 August 2026
Photo

预约客服:@HZ88007 双向机器人🤖: @NB5887bot 电话预约☎️: 18162349983 微信1️⃣:Z555L222H000 微信2️⃣:W888Z999Y888 QQ1️⃣:2980228817 QQ2️⃣:2019210854

12 Aug 2026, 11:47 UTC188 viewsread 12 August 2026
Photo

预约客服:@HZ88007 双向机器人🤖: @NB5887bot 电话预约☎️: 18162349983 微信1️⃣:Z555L222H000 微信2️⃣:W888Z999Y888 QQ1️⃣:2980228817 QQ2️⃣:2019210854

12 Aug 2026, 11:47 UTC176 viewsread 12 August 2026
Photo

预约客服:@HZ88007 双向机器人🤖: @NB5887bot 电话预约☎️: 18162349983 微信1️⃣:Z555L222H000 微信2️⃣:W888Z999Y888 QQ1️⃣:2980228817 QQ2️⃣:2019210854

12 Aug 2026, 11:47 UTC166 viewsread 12 August 2026
Photo

预约客服:@HZ88007 双向机器人🤖: @NB5887bot 电话预约☎️: 18162349983 微信1️⃣:Z555L222H000 微信2️⃣:W888Z999Y888 QQ1️⃣:2980228817 QQ2️⃣:2019210854

12 Aug 2026, 11:47 UTC150 viewsread 12 August 2026
Photo

预约客服:@HZ88007 双向机器人🤖: @NB5887bot 电话预约☎️: 18162349983 微信1️⃣:Z555L222H000 微信2️⃣:W888Z999Y888 QQ1️⃣:2980228817 QQ2️⃣:2019210854

12 Aug 2026, 11:47 UTC141 viewsread 12 August 2026
Photo

预约客服:@HZ88007 双向机器人🤖: @NB5887bot 电话预约☎️: 18162349983 微信1️⃣:Z555L222H000 微信2️⃣:W888Z999Y888 QQ1️⃣:2980228817 QQ2️⃣:2019210854

12 Aug 2026, 11:47 UTC145 viewsread 12 August 2026
Photo

预约客服:@HZ88007 双向机器人🤖: @NB5887bot 电话预约☎️: 18162349983 微信1️⃣:Z555L222H000 微信2️⃣:W888Z999Y888 QQ1️⃣:2980228817 QQ2️⃣:2019210854

Showing the 12 most recent of 12 posts we hold for @NBN8899. 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 — 25,784 of 1,189,255entries 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 8 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.

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.

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

“武汉顶美点评” (@NBN8899), 5,981 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/NBN8899.

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.