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Channel

武汉骑士榜(突击版)

@WHDTHYXCBB

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

27,577subscribers

-1,909 since we began measuring on 18 August 2026

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

Register entry

Telegram ID-1002595187631
TypeChannel
Username@WHDTHYXCBB
Description欢迎来到武汉骑士榜🏫: 【狼友聊天】 @wuhanqibin 【骑士报告】 @jiuerwhxcbgb 【工兵福利】 @wuhangongbin 【老师打卡】 @whlangyoujieji 【上榜合作及投诉】 @WHDTHYXCBB_bot PS:管理不会主动私信任何人,私信一律为诈骗!!!
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded18 August 2026
Last confirmed live15 October 2026
Measurements held27
Confirmed unchanged1 time, most recently 15 October 2026
On Telegramt.me/WHDTHYXCBB

Topic

Giveaways & airdrops — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 61% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

27,57729,48928,53318 August 2026 — 29,486 subscribers19 August 2026 — 29,440 subscribers20 August 2026 — 29,456 subscribers21 August 2026 — 29,489 subscribers22 August 2026 — 29,339 subscribers24 August 2026 — 29,198 subscribers25 August 2026 — 29,122 subscribers26 August 2026 — 29,105 subscribers27 August 2026 — 29,036 subscribers28 August 2026 — 28,875 subscribers29 August 2026 — 28,675 subscribers30 August 2026 — 28,656 subscribers31 August 2026 — 28,631 subscribers1 September 2026 — 28,597 subscribers2 September 2026 — 28,574 subscribers4 September 2026 — 28,559 subscribers7 September 2026 — 28,540 subscribers10 September 2026 — 28,474 subscribers12 September 2026 — 28,085 subscribers14 September 2026 — 27,985 subscribers16 September 2026 — 27,779 subscribers18 September 2026 — 27,853 subscribers1 October 2026 — 27,827 subscribers6 October 2026 — 27,750 subscribers11 October 2026 — 27,701 subscribers14 October 2026 — 27,608 subscribers15 October 2026 — 27,577 subscribers18 August 202615 October 2026
27 measurements spanning 58 days, net -1,909. 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 27,290–29,776 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
15 Oct 2026, 03:0727,577-31
14 Oct 2026, 01:1127,608-93
11 Oct 2026, 04:5727,701-49
6 Oct 2026, 23:1527,750-77
1 Oct 2026, 23:5627,827-26
18 Sept 2026, 10:1827,853+74
16 Sept 2026, 02:3927,779-206
14 Sept 2026, 07:1527,985-100
12 Sept 2026, 13:3928,085-389
10 Sept 2026, 12:3628,474-66
7 Sept 2026, 05:0028,540-19
4 Sept 2026, 10:1728,559-15
2 Sept 2026, 23:5328,574-23
1 Sept 2026, 22:1628,597-34
31 Aug 2026, 23:5728,631-25
30 Aug 2026, 22:1528,656-19
29 Aug 2026, 19:5428,675-200
28 Aug 2026, 18:3828,875-161
27 Aug 2026, 20:4429,036-69
26 Aug 2026, 18:0529,105first reading

Engagement

118 posts held, back to 16 August 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 84 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.77%
avg views ÷ 27,577 subscribers
Avg views / post
1,040
68 posts measured
Reaction rate
0.125%
reactions ÷ views · ER floor
Posts in window
68
of 118 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 36 of 68 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 15 October 2026
Posts held118 (16 August 2026 – 15 October 2026)
Views total70,778
Reactions total53
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Oct 2026, 18:58 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
698
Videos
109
Links
182

Lifetime counters from Telegram’s own channel header, read 15 October 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.

Video runtime
7m 50s
Average length
11s

Measured directly from 43 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

88 reactions across 48 posts, in 2 distinct kinds. The most used accounts for 97.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8697.7%
💩22.27%

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 62 of the 118 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 88 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 118 most recent posts we hold, published 16 August 2026 to 15 October 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

15 Oct 2026, 09:53 UTC427 viewsread 15 October 2026
Photo

😃武汉最大的门店海选SPA顶级服务莞式服务一条龙权威认证嫩妹全裸全裸9️⃣🔠任盘舔逼😡👅 🤕全裸9️⃣🤩SPA全场嫩妹任盘 🤯服务天花板、韵味少妇、服务大师、大胸导师 异域风情应有尽有、绝对的高质量高颜值嫩妹 预约客服:@AsJ9907 双向:@GTE9988bot 微信1️⃣:AaJ8807 微信2️⃣:ys888868688 QQ1️⃣:3174753612 QQ2️⃣:2623356744 预约电话☎️:18807143592 交流群: t.me/AAJJ99880 技师频道: t.me/AAJJ9988 技师点评: t.me/AJJ899 😀原价:4️⃣9️⃣8️⃣ 😀活动价:3️⃣8️⃣0️⃣ 😀服务时间60分钟 出勤10➕ 😵双飞特价➕3️⃣0️⃣0️⃣一龙二凤 😀环境高档招待领导 朋友聚会不二选择。房间带淋浴,私密性拉满 😀没有T路 无任何隐形消费 🔰武汉光谷全裸9️⃣🔠嫩妹会所🔰 😀😀😀😀😀😀😀😀😀 🧩胸推🧩臀推…

15 Oct 2026, 09:05 UTC497 viewsread 15 October 2026

#草莓 @caomei5688 回归活动,原价800P/1200PP 现在优惠1张 700P/1100PP 活动时间3天

15 Oct 2026, 09:00 UTC500 viewsread 15 October 2026
Photo

🎯艺名:#草莓 😄 #汉口 🪙费用:#800p/1200pp ⚡身材:170cm、48KG、🐻36C ------------------------------------- 联系方式: @caomei5688 双向联系: @caomei9188_bot 老师频道: @caomei6998 车评机器人: 写车评✍️ 加入聊天群: 武汉骑兵团

14 Oct 2026, 15:40 UTC781 views1 reactionsread 15 October 2026
Photo

🔰武汉江岸区首家全裸9T会所海选 🔰武汉市新店开业海选全场398🎉 🔰武汉超级全裸9T全新升级版) 🔰武汉市🔰高端会所 嫩妹活好👅 武汉江岸区全裸最大的门店海选顶级服务莞式服务一条龙权威认证嫩妹 🏅金牌客服: @WNQQ7766 🏅技师点评频道: t.me/WNQQ722 🏅技师频道 : t.me/WNQQ7722 🏅加入群组: @WNQQ7788 🏅双向🤖: @WNQQ770bot 🔰电话预约☎️: 15259762701 🔰微信🛰1️⃣预约:AAWR880 🔰QQ🐧1️⃣预约:3953211804 🔰原价:4️⃣9️⃣9️⃣预约价3️⃣9️⃣8️⃣ 🔰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 🔰免费提供各类情趣丝袜 🔰服务时间60分钟时间内不限次数 🔰饮料茶水糖果🍬香烟免费畅饮 🔰营业时间:中午12点-凌晨4点 🔰可亲🫦可㖭👅可摸可柔可扣逼 还可以射在…

❤1

14 Oct 2026, 12:00 UTC652 views1 reactionsread 15 October 2026
Photo

🎯艺名:#楠楠酱😄 #洪山区 🪙费用:#500p/900pp ⚡身材:165cm、54KG、🐻38D ------------------------------------- 联系方式: @abcabchw 双向联系: @nannanbaoyabot 老师频道: @daabaada 车评机器人: 写车评✍️ 加入聊天群: 武汉骑兵团 她的报告 :报告01 报告02 报告03 报告04 报告05 报告06 报告07

❤1

14 Oct 2026, 07:35 UTC771 viewsread 15 October 2026
Photo

🎯艺名:#金蝉 😄 #汉阳区 🪙费用:#600p/1000pp ⚡身材:170cm、51KG、🐻B ------------------------------------- 联系方式: @jinchan9966y 双向联系: @jinchan6699bot 老师频道: @jinchan3366y 车评机器人: 写车评✍️ 加入聊天群: 武汉骑兵团 她的报告 :

13 Oct 2026, 14:54 UTC692 views0 reactionsread 14 October 2026
Photo

🎯艺名:#莹莹 😄 #硚口区 🪙费用:#600p/1200pp ⚡身材:163cm、53KG、🐻C ------------------------------------- 联系方式: @yingying12443 双向联系: @yingying131_bot 老师频道: @yongyingde 车评机器人: 写车评✍️ 加入聊天群: 武汉骑兵团 她的报告 :报告1 报告2 报告3

12 Oct 2026, 14:40 UTC≈1,110 views1 reactionsread 14 October 2026
Photo

又有骗子冒充我借钱了,大家不要相信 高仿号 @gebiIaowd 再次声明,不管任何时候我不会拉群跟你们任何人借钱

❤1

12 Oct 2026, 11:30 UTC≈1,130 views1 reactionsread 14 October 2026
Photo

🎯艺名:#佳佳 😄 #汉阳区 🪙费用:#600p/1100pp ⚡身材:164cm、51KG、🐻D ------------------------------------- 联系方式: @jiajiaxinhao 双向联系: @jiajiaxin1bot 老师频道: @azdjsjjd90 车评机器人: 写车评✍️ 加入聊天群: 武汉骑兵团 她的报告 : 报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 报告9 报告10 报告11 报告12 报告13

❤1

12 Oct 2026, 07:11 UTC≈1,090 viewsread 14 October 2026
Photo

🎯艺名:#鑫鑫 😄 #汉阳区 🪙费用:#600p/1100pp ⚡身材:165cm、45KG、🐻C ------------------------------------- 联系方式: @xinxinK1 双向联系: @xinxink3_bot 老师频道: @xinxink2 车评机器人: 写车评✍️ 加入聊天群: 武汉骑兵团 她的报告 : 报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 报告9 报告10 报告11 报告12

Showing the 12 most recent of 118 posts we hold for @WHDTHYXCBB. 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.

Posts edited after publishing

@WHDTHYXCBB edited 10 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
19 August 2026
Most recent edit
12 October 2026

Mentions

Named by 5 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.

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 15 October 2026 — this entry's latest reading, not the date you are reading this.

“武汉骑士榜(突击版)” (@WHDTHYXCBB), 27,577 subscribers as measured 15 October 2026. Telegram Register, tgregister.com/channel/WHDTHYXCBB.

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.