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Channel

武汉【认证榜】

@wuhanpd

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

29,320subscribers

+266 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002329764982
TypeChannel
Username@wuhanpd
Description认证联系: @TShengdi_bot 武汉交流群: @wuhanjlq 🎫个人/中介/会所/外围 认证中心 只做最真实的娱乐资源,真实即可认证 认证通过即可公示!
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live17 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/wuhanpd

Growth

29,05429,32029,18712 August 2026 — 29,054 subscribers12 August 2026 — 29,054 subscribers13 August 2026 — 29,103 subscribers15 August 2026 — 29,180 subscribers16 August 2026 — 29,265 subscribers17 August 2026 — 29,320 subscribers12 August 202617 August 2026
6 measurements spanning 5 days, net +266. 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 29,014–29,360 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 17:3929,320+55
16 Aug 2026, 16:1629,265+85
15 Aug 2026, 01:0429,180+77
13 Aug 2026, 15:3829,103+49
12 Aug 2026, 23:0029,054no change
12 Aug 2026, 22:5329,054first reading

Engagement

5 posts held, back to 21 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 10 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
10.0%
avg views ÷ 29,320 subscribers
Avg views / post
2,940
5 posts measured
Reaction rate
0.163%
reactions ÷ views · ER floor
Posts in window
5
of 5 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 29 July 2026
Posts held5 (21 July 202629 July 2026)
Views total14,700
Reactions total24
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 01:27 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
1,330
Videos
224
Links
66

Lifetime counters from Telegram’s own channel header, read 18 August 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
28s
Average length
9s

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.

Reaction mix

24 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 54.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1354.2%
👍416.7%
🔥416.7%
🥰312.5%

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 5 of the 5 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 24reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 5 most recent posts we hold, published 21 July 2026 to 29 July 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

29 Jul 2026, 06:58 UTC≈2,360 views1 reactionsread 18 August 2026
Photo

【老 师 艺 名】#婷baby 【所 在 位 置】#武汉 #洪山 【茶 位】#4P #7PP 【服 务 类 型】#丝袜 #深喉 #胸推 【联 系 方 式】 @C1986mc 【老 师 频 道】 QQ 3696887994 【双向机器人】VX xc66888zn 备注: #个人老师

🔥1

27 Jul 2026, 03:08 UTC≈3,130 views6 reactionsread 18 August 2026
Photo

【老 师 艺 名】#洛洛 【所 在 位 置】#武汉 #上门 【茶 位】#8P #15PP 【服 务 类 型】#舌吻 #共浴 #69式 【联 系 方 式】@pc0288 【老 师 频 道】@zzwm008 【双向机器人】@ls0288_bot 备注: #经纪人

4👍1🔥1

24 Jul 2026, 11:49 UTC≈2,410 views5 reactionsread 18 August 2026
Video

📱📱📱📱📱📱📱📱📱📱 #按摩 #SPA #油压 #海选 #4T 武汉9️⃣4️⃣高端海选4T📱📱 主打高颜值,📱📱📱📱 现活动价:😀😀😀 服务时间50分钟 双飞特价:第二个2😀😀 倍快乐 💬店里不定时举行 优惠/赠送 活动🪙 🤕Cosplay角色扮演🤕 🌈沉浸式角色扮演5选1:📱 🚩:办公室女秘书📱 🚩:教室女老师📱 🚩:俏皮可爱小女仆📱 🚩:老公小姨子📱 🚩:男科女医生📱 👇两千多平大店,环境好,🔥全场😚台大海选 🐨每天出勤😀😀➕ 📱 📱 📱 📱 📱 📱 📱 📱 📱 📱 📱 📱 📱 📱 📱 诚信经营🐼 无虚假宣传😂 🤗真胸调情😀果冻毒龙👍 猴子偷桃👅舔蛋蛋😀舌尖调情🫦 环游背上过水😀嘴背上拔罐 臀部调情🧚😀丝袜美腿诱惑🦵 丝袜随便撕😀免费提供多种选择 鼻吸😀指划调情😘高山流水💧 技师随便摸😀技师帮洗澡🛁 独立冲凉房🚿玩法多样👗 全程一对一技师服务♥️全场不冷场 金牌客服📱: @whxg08

3👍1🥰1

22 Jul 2026, 15:12 UTC≈3,380 views6 reactionsread 18 August 2026
Photo

#武汉 桃桃MMK·恋爱助教馆🍑 新店开业福利全场9折,可以直接联系哦 武汉私影天花板,平时在店5到10位助教,都是18至23岁滑滑嫩嫩的女大,也有少量白领。 🔥【初恋小班】1h-599 🉑亲嘴➕亲胸➕摸胸➕隔衣摸⬇️ 🔥【热恋中班】1h-899 🉑在599基础上➕92飞机 🔥【蜜恋大班】 1h-1199。2h-2299(续钟1099 🉑全裸➕飞机 🏠门店地址:#武汉 洪山街道口 🍑约课客服 :@ponyvfsu 🍑双向:@tdhhhhbbot 🍑频道:https://t.me/ajbtbiicvj 🍑微信:Veng-63 🍑微信:Veng-69 🍑电话:15656298876 😻武汉桃桃MMK·恋爱助教馆🍑 武汉私影天花板,平时在店5到10位助教,都是18至23岁滑滑嫩嫩的女大,也有少量白领。

2🥰2👍1🔥1

21 Jul 2026, 06:37 UTC≈3,420 views6 reactionsread 18 August 2026
Photo

‹ 😃😃 😀😃 📱📱 📱📱 › 😎 爱之狐高端私密会所 😎 🫥高端会所 🫥私密会所 🫥情景定制 🀄服务项目 🀄 😂莞式十八式激情服务😂 🔴鸳鸯戏水🔴泡沫风情🔴风情按摩 🟢指尖漫游🟢波涛汹涌🟢臀臀欲动 🔴蜻蜓点水🔴过水漫游🔴舌尖漫游 🟢花式毒龙🟢海底捞月🟢跪式吹箫 ➡主题角色扮演道具服装 ➡翻云覆雨配合多种姿势 🔥依您的喜好和需求为您做专属的私人定制,满足男性所有不同需求! 🔥每个项目都有小剧情,有开头、高潮、结尾、余温。等专属场景! 🔥环境私密舒适 ,绝对给您带来飞一般的体验! 💎不收定金 💎 靠谱预约 💎到店消费 ✔ 保护隐私—安全放心✔ 🥰🥰🥰🥰🥰🥰🥰🥰 ☹ 各个spa私密服务会所打造的高端特色服务项目不同。具体以会所前台获取的服务流程为准! 位置:咨询客服发送 #武汉

4👍1🔥1

Showing the 5 most recent of 5 posts we hold for @wuhanpd. 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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“武汉【认证榜】” (@wuhanpd), 29,320 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/wuhanpd.

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.