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Channel

武汉学报告榜2.0

@whbgb_3722

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

27,895subscribers

+1,319 since we began measuring on 11 August 2026

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

Register entry

Telegram ID-1002233648368
TypeChannel
Username@whbgb_3722
Description武汉学生会2.0 @whxsh_1
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live25 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/whbgb_3722

Topic

Other / unclassifiable — 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 70% 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

26,57627,89527,235.511 August 2026 — 26,576 subscribers12 August 2026 — 26,607 subscribers13 August 2026 — 26,648 subscribers14 August 2026 — 26,690 subscribers16 August 2026 — 26,750 subscribers17 August 2026 — 26,805 subscribers18 August 2026 — 26,821 subscribers19 August 2026 — 26,875 subscribers20 August 2026 — 26,921 subscribers22 August 2026 — 26,960 subscribers23 August 2026 — 26,998 subscribers25 August 2026 — 27,024 subscribers26 August 2026 — 27,058 subscribers27 August 2026 — 27,090 subscribers28 August 2026 — 27,142 subscribers29 August 2026 — 27,173 subscribers30 August 2026 — 27,202 subscribers31 August 2026 — 27,251 subscribers1 September 2026 — 27,277 subscribers2 September 2026 — 27,317 subscribers3 September 2026 — 27,360 subscribers5 September 2026 — 27,424 subscribers8 September 2026 — 27,523 subscribers11 September 2026 — 27,621 subscribers13 September 2026 — 27,674 subscribers14 September 2026 — 27,722 subscribers16 September 2026 — 27,771 subscribers19 September 2026 — 27,800 subscribers25 September 2026 — 27,895 subscribers11 August 202625 September 2026
29 measurements spanning 45 days, net +1,319. 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 26,378–28,093 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
25 Sept 2026, 17:1527,895+95
19 Sept 2026, 04:2027,800+29
16 Sept 2026, 17:3827,771+49
14 Sept 2026, 17:5627,722+48
13 Sept 2026, 07:0127,674+53
11 Sept 2026, 13:0127,621+98
8 Sept 2026, 17:5627,523+99
5 Sept 2026, 10:3727,424+64
3 Sept 2026, 14:1827,360+43
2 Sept 2026, 10:2327,317+40
1 Sept 2026, 08:0827,277+26
31 Aug 2026, 05:4827,251+49
30 Aug 2026, 02:2827,202+29
29 Aug 2026, 03:0327,173+31
28 Aug 2026, 04:4527,142+52
27 Aug 2026, 01:2727,090+32
26 Aug 2026, 04:4527,058+34
25 Aug 2026, 04:3627,024+26
23 Aug 2026, 22:0426,998+38
22 Aug 2026, 07:3826,960first reading

Engagement

849 posts held, back to 10 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 64 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.24%
avg views ÷ 27,895 subscribers
Avg views / post
624
256 posts measured
Reaction rate
0.159%
reactions ÷ views · ER floor
Posts in window
257
of 849 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 92 of 256 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 2 October 2026
Posts held849 (10 August 2026 – 2 October 2026)
Views total159,671
Reactions total101
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 12:27 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
≈58
Videos
≈1
Links
≈10,500

Lifetime counters from Telegram’s own channel header, read 2 October 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.

Reaction mix

290 reactions across 221 posts, in 5 distinct kinds. The most used accounts for 95.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤27895.9%
👍41.38%
🤡41.38%
🤮31.03%
🥰10.345%

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 275 of the 849 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 290 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 849 most recent posts we hold, published 10 August 2026 to 2 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

2 Oct 2026, 11:28 UTC199 viewsread 2 October 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:梁萧 【日 期】:10.2日 【美女昵称】:#小丸子 【所属频道】:公开榜 https://t.me/whxsh_985/11065 【地 区】:洪山区 【见面感觉】:10 【身材曲线】:10 【风情指数】:9 【技术含量】:8 【年 龄】:19 【身 高】:162 【凶 器】:b 【肤 色】:正常肤色 【人照相似】:9分 【服务内容】:口 做 洗澡 舌吻 课表内容都有 【服务过程】:下午看到丸子开课,就约了4点的。进门一小只可爱妹子,是年轻嫩妹。聊了下天,丸子帮洗澡。之后躺床上开始服务,先熊后牛牛,相当敬业,不说停就一直口。我忍不住了就女上冲,小穴很紧又水嫩,叫声销魂。之后放倒,边🐍边冲。又后入,身材曲线非常好,最后美美释放。第一次约,被秒…

2 Oct 2026, 09:56 UTC368 views1 reactionsread 2 October 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:匿名 【日 期】:10.2 【美女昵称】:#汐汐 【所属频道】:公开榜https://t.me/whxsh_985/11166 【地 区】:汉口 【见面感觉】:(满分10分) 【身材曲线】:10 【风情指数】:9 【技术含量】:9 【年 龄】:19 【身 高】:165 【凶 器】:b 【肤 色】:白 【人照相似】:相似 【服务内容】:口 做 69陪浴,🐍 【服务过程】: 本人比照片好看可爱,身材好,皮肤白,服务也很好,情绪价值拉满,跟汐汐做的时候,感觉里面一直在吸我,差点被秒了,最后换了一个姿势冲刺啊啊太爽了🤔 优点:全身优点 缺点:无 上榜联系 @whlll_bot 群聊 @whxsh_1

❤1

2 Oct 2026, 09:35 UTC314 viewsread 2 October 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:Kayak 【日 期】: 10.2 【美女昵称】:#小妍妍 【所属频道】:https://t.me/whxsh_985/9140 【地 区】:洪山区 【见面感觉】:10 【身材曲线】:8 【风情指数】:8 【技术含量】:8 【年 龄】:20左右 【身 高】:170多 【凶 器】:b 【肤 色】:正常肤色 【人照相似】:人照8分 【服务内容】:口 做 舌吻 【服务过程】:老师的号动不动就炸了,这回终于联系到了,果断出击,见面正常流程陪浴,口,口真是一直口,做,反应很真实,接吻也很主动,第二发太累了,老师还主动上面,虽说扭的很生疏,但是够卖力,聊天也很自然很舒服。 优点:大码嫩妹,身材很顶 缺点:无 上榜联系 @whlll_bot 群…

2 Oct 2026, 09:16 UTC372 viewsread 2 October 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:lknow 【日 期】:2026.10.2 【美女昵称】:#菲菲/@xiaoyachen 【所属频道】:https://t.me/whxsh_985/11109 【地 区】:江汉/汉口区 【见面感觉】:(满分10分) 【身材曲线】:10 【风情指数】:9 【技术含量】:9.6 【年 龄】:18 【身 高】:165,身材苗条 【凶 器】:C 【肤 色】:美白 【人照相似】:真人好看过照片 【服务内容】:口 做 洗澡 舌吻 69 亲咪咪 【服务过程】:嫰妹,皮肤很好。洗澡,调情,老师让我躺床上给我服务,情绪价值拉满。还会再刷 优点:全是优点 缺点: 上榜联系 @whlll_bot 群聊 @whxsh_1

2 Oct 2026, 09:11 UTC296 viewsread 2 October 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】: 匿名 【日 期】: 10.2 【美女昵称】:瑞瑞 【所属频道】: https://t.me/whxsh_985/7500 【地 区】:汉口区 【见面感觉】:10 【身材曲线】:9 【风情指数】:10 【技术含量】:9 【年 龄】:07年 【身 高】:一米六左右 【凶 器】:B 【肤 色】:美白 【人照相似】:真人远好看过照片 【服务内容】:口 做 洗澡 舌吻 【服务过程】: 优点:人照基本一致,个人觉得比照片好看,家里有2只小宠物可以玩,老师很健谈有耐心,休息期间不冷场,课室位置非常安全。过程不细描述了,老师完全没有催钟行为,课表有的都有。 缺点:老师不是特别熟女上,个人比较喜欢女上,有点可惜,其余没缺点 上榜联系 @whlll…

2 Oct 2026, 09:07 UTC306 viewsread 2 October 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:不公开 【日 期】:10.2 【美女昵称】:小丸子 https://t.me/whxsh_985/11065 【地 区】:武昌区 【见面感觉】:挺好的 【身材曲线】:身材很好胸比较挺9分 【风情指数】:8.5分 【技术含量】:9分 【年 龄】:20左右的样子 【身 高】:165左右 【凶 器】:b+ 【肤 色】:白皮 【人照相似】:九分 【服务内容】: 陪洗 口 做 69 🐍 【服务过程】:本来想10.1cj的,但是昨天晚上烟花秀,武汉封路了,本来计划的时间点我过不去,绕路得将近一个小时了,才改到今天。一进门老师就找话题跟我聊天非常好,然后陪洗。老师口的很卖力,说有的ly就喜欢口的久一些。再久一点就要给我口出一水了。做的过程就省略了,写这…

2 Oct 2026, 08:03 UTC380 viewsread 2 October 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:(可匿名) 【日 期】:10.2 【美女昵称】:#崽崽@ZZ056721 【所属频道】:https://t.me/whxsh_985/10125 【地 区】:汉阳区 【见面感觉】:8 【身材曲线】:7 【风情指数】:9 【技术含量】:9 【年 龄】:23 【身 高】:155 【凶 器】:A➕ 【肤 色】:白 【人照相似】:差不多 【服务内容】:口、陪浴、🐍,做 【服务过程】:进门看见小小一只,很可爱,很可爱,很会,舌头很软,比例很棒,非常nice,出水后还会陪浴,距离我也非常近,有机会肯定会二次出击的,细节就不过多赘述了! 优点:全是优点 缺点:无 上榜联系 @whlll_bot 群聊 @whxsh_1

2 Oct 2026, 07:55 UTC361 views1 reactionsread 2 October 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:猫猫 【日 期】:10.2 【美女昵称】:#萱儿 【所属频道】:https://t.me/whxsh_985/11299 【地 区】:汉口区 【见面感觉】:9 【身材曲线】:9 【风情指数】:9.2 【技术含量】:9.2 【年 龄】:98年御姐 【身 高】:166 【凶 器】:B 【肤 色】:白嫩 【人照相似】:人照九五分 【服务内容】:课表有的都有 【服务过程】:约了新人萱萱妹子,皮肤白嫩光滑,上挺下紧,一见面就软软贴过来,女友感拉满。有陪浴,过程会主动帮帮擦。来到床上ab面走起,课表服务有的都有。69,她舌头超软,含得又深又湿,水声不断,敏感体质直接汁水直流。接着毒龙,她主动趴下把脸埋进去,舔得又细又热,还时不时抬头看我。最后做爱,小穴又…

❤1

2 Oct 2026, 07:12 UTC504 views1 reactionsread 2 October 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:Ggvt 【日 期】:2026.10.2 【美女昵称】:#菲菲/@xiaoyachen 【所属频道】:https://t.me/whxsh_985/11109 【地 区】:江汉区/汉口区 【见面感觉】:(满分10分) 【身材曲线】:10 【风情指数】:9 【技术含量】:9.5 【年 龄】:18 【身 高】:165,身材苗条 【凶 器】:C 【肤 色】:美白 【人照相似】:真人好看过照片 【服务内容】:口 做 洗澡 舌吻 69 课表上的都有 【服务过程】:进门热情了一下就去洗澡了,洗的时候妹妹很贴心的问温度,在洗的时候,我的双手早已按耐不住,在妹妹胸前还有屁股上贪婪的探索着,妹妹会帮你把前后洗的干干净净,并且细致擦拭,真的很贴心的妹妹,我躺上了…

❤1

2 Oct 2026, 07:06 UTC337 viewsread 2 October 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:(可匿名) 【日 期】:2026.10.2 【美女昵称】:土豆泥 【所属频道】:填(公开榜/花魁榜,并附上老师https://t.me/whxsh_985/10264 【地 区】:洪山区 【见面感觉】:(满分10分) 【身材曲线】:10 【风情指数】:9 【技术含量】:9 【年 龄】:20 【身 高】:大概一米六几,身材苗条 【凶 器】:b 【肤 色】:美白 【人照相似】:真人好看过照片 【服务内容】:课表有的都有 【服务过程】:武汉最近降温,天气比较冷,但在我进门看到土豆泥之后就变得燥热起来,小妹妹微笑的跟我打招呼,妆造很漂亮,比频道里的照片好看多了,喘了一口气之后开始陪浴,认真清洗过后有一次性毛巾可用,老师在桌子上摆了一大包毛巾,方便取用…

2 Oct 2026, 07:05 UTC325 viewsread 2 October 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:(Eva) 【日 期】:10.2 【美女昵称】:娇妹 【所属频道】:https://t.me/whxsh_985/11244 【地 区】:武昌区 【见面感觉】:8(满分10分) 【身材曲线】:10 【风情指数】:9 【技术含量】:8.8 【年 龄】:20 【身 高】:165,身材微胖刚刚合适 【凶 器】:D 【肤 色】:美白 【人照相似】:真人和照片差距不是很大 【服务内容】:洗,裸吹,胸推,情趣,舌吻,69爱爱 【服务过程】:老师不是骨干类型,有点微胖,我喜欢微胖有点肉感了,奶子大,做起还可以,后入舒服 优点:年龄小,胸大,听话,懂事 缺点:无 上榜联系 @whlll_bot 群聊 @whxsh_1

2 Oct 2026, 06:23 UTC374 viewsread 2 October 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️(参照末尾星级评判标准)』 【验证人 】:钟数 【日 期】:10.1 【美女昵称】:#雅乐 【所属频道】:https://t.me/whxsh_985/11181 【地 区】:洪山区 【见面感觉】:9 【身材曲线】:9 【风情指数】:9 【技术含量】:19 【年 龄】:27 【身 高】:170 【凶 器】:C 【肤 色】:白 【人照相似】:9 【服务内容】:口 69、毒龙, 【服务过程】:上午闲着没事做,约好雅乐,下班立马出发 ,老师还是那个老师,主要是过来享受服务,进门跟老师打个招呼抱一下,老师给我提供了农夫山泉,还不错,然后带我去冲洗,全程帮我洗,洗完给我来了个水中萧,口活不错,超级会吸的,牛逼克拉斯,简直无敌了,搞完还有帮忙擦干身体,然后领我去床上,然后老师开始先a面服务,先这…

Showing the 12 most recent of 849 posts we hold for @whbgb_3722. 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

@whbgb_3722 edited 1 post 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
27 September 2026
Most recent edit
27 September 2026

Forward network

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.

Mentions

Named by 3 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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“武汉学报告榜2.0” (@whbgb_3722), 27,895 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/whbgb_3722.

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.