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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 · Citations · Cite this entry

27,800subscribers

+1,224 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 live19 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 19 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

26,57627,80027,18811 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 subscribers11 August 202619 September 2026
28 measurements spanning 39 days, net +1,224. 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 26,392–27,984 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
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, 07:3826,960+39
20 Aug 2026, 19:3326,921first reading

Engagement

705 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 51 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.03%
avg views ÷ 27,800 subscribers
Avg views / post
565
324 posts measured
Reaction rate
0.164%
reactions ÷ views · ER floor
Posts in window
324
of 705 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 99 of 324 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 23 September 2026
Posts held705 (10 August 2026 – 23 September 2026)
Views total183,027
Reactions total102
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 03:33 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
≈10,300

Lifetime counters from Telegram’s own channel header, read 24 September 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

228 reactions across 180 posts, in 4 distinct kinds. The most used accounts for 96.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤22096.5%
👍41.75%
🤮31.32%
🥰10.439%

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 219 of the 705 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 228 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 705 most recent posts we hold, published 10 August 2026 to 23 September 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

23 Sept 2026, 16:42 UTC633 views2 reactionsread 24 September 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️ 【验证人 】:Zy 【日 期】:9.24 【美女昵称】:#小春 【所属频道】公开榜 https://t.me/whxsh_985/10907 【地 区】:汉口区 【见面感觉】:9 【身材曲线】:10 【风情指数】:9 【技术含量】:10 【年 龄】:24左右吧 【身 高】:大概一米六,身材苗条火辣 【凶 器】:C非常弱软 【肤 色】:美白 有弹性 手感超赞 【人照相似】:八分 【服务内容】:口 做 洗澡 调情 【服务过程】: 第一次约到老师的课 到了地方以后老师遥控上楼 停车也很方便 进门以后就被老师的身材吸引了 奶子极大 手感很好 开课之前还会按摩 整个人都放松了 很健谈很有意思 叫床声很骚 口活极棒 差点被秒了 结束以后还给按摩 不催课 优点:奶子大 口活好 叫声骚 按摩…

❤2

23 Sept 2026, 16:41 UTC561 viewsread 24 September 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】:2026-09-23 【美女昵称】:熙熙 【所属频道】:公开榜 https://t.me/whxsh_985/8586 【地 区】:洪山区 【见面感觉】:9(满分10分) 【身材曲线】:8 【风情指数】:8 【技术含量】:8 【年 龄】:23左右 【身 高】:大概一米六,身材苗条 【凶 器】:b 【肤 色】:偏白 【人照相似】:8 【服务内容】:口 做 洗澡 舌吻 【服务过程】:最近有点上头,三刷了。前两次都忘记抱了,这次见面就先来了个大大的拥抱,屁股软软的,忍不住捏了几把,手感好好。受不了,速度洗漱后来到房间,抱着妹妹一顿亲,从上到下,慢慢探索,妹妹好敏感,舔的时候身体…

23 Sept 2026, 16:05 UTC567 viewsread 24 September 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️ 【验证人 】:黑桃k 【日 期】:9.23 【美女昵称】:六六 【所属频道】:公开榜 https://t.me/whxsh_985/10861 【地 区】:洪山区 【见面感觉】:9 【身材曲线】:9 【风情指数】:10 【技术含量】:9 【年 龄】:24 【身 高】:大概160 【凶 器】:B 【肤 色】: 正常肤色 【人照相似】:七八分左右 【服务内容】:口做洗澡蛇 【服务过程】:二刷六六宝宝。和朋友吃完夜宵回家途中,心情大好,想起来前两天出击过的六六宝宝。遂发信息是否有课,酒后是否接课。待明确告知只是小酌一点后六六宝宝爽快答应可约,马上调转方向直奔六六根据地。见面如初,先送上一波香吻,更衣沐浴。由于酒后略显疲惫,全程由六六宝宝伺候,尽享服务,顺利出水。六六宝宝文静,是一个很好的…

23 Sept 2026, 15:52 UTC545 views0 reactionsread 24 September 2026

武汉学生会2.0 报告榜 『推荐指数:强烈推荐 【验证人 】:匿名 【日 期】:2026.9.23号 【美女昵称】:乖乖 【所属频道】:公开榜 https://t.me/whxsh_985/9913 【地 区】:汉口区 【见面感觉】:10 【身材曲线】:1 【风情指数】: 10 【技术含量】: 10 【年 龄】:18左右吧 【身 高】:大概1.65m 【凶 器】:B+ 【肤 色】:正常皮 【人照相似】:照片和真人一样 【服务内容】:啥都有 【服务过程】:帝王享受 优点:房间安全,妹子安全意识也强,休息的时候突然想起这个月试纸还没做就赶紧做了一个(PS:只要约的时间长,就有时间开盲盒,开隐藏款,只有你想不到的,没有做不到的) 缺点:雷点1:因为头课是12点,我就约他先在底下吃个饭先,她不同意,然后上课的过程中一直问我吃饭没有,肚子饿不…

23 Sept 2026, 14:56 UTC597 viewsread 24 September 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 】:mars 【日 期】:2026.9.22 【美女昵称】:#小满 【所属频道】: https://t.me/whxsh_985/9497 【地 区】:洪山区 【见面感觉】:8(脸部没有视频和照片中那么无暇) 【身材曲线】:8 【风情指数】:9 【技术含量】:10 【年 龄】:20左右吧 【身 高】:一米六多 【凶 器】:B 【肤 色】:美白 【人照相似】:人照基本一致 【服务内容】:洗 口 做 【服务过程】:出差来武汉,挑来挑去最后选了小满,整体还行,熊不算大,但手感不错,口活技术不错,就是脸上有点卡粉和黑斑有点掉分,其他都还好。 优点:身材好,服务好,配合度高。 缺点:没发现 上榜联系 @whlll_bot 群聊 @whxsh_…

23 Sept 2026, 14:12 UTC626 views0 reactionsread 24 September 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 】:林业 【日 期】:9.23 【美女昵称】:#香香 【所属频道】:https://t.me/whxsh_985/10703 【地 区】:洪山区 【见面感觉】:9 【身材曲线】:9 【风情指数】:9 【技术含量】:9.6 【年 龄】:24 【身 高】:165 【凶 器】:C 【肤 色】:白 【人照相似】:9 【服务内容】:口 做 舌吻 、69,毒龙 【服务过程】:老师本人比照片更有味道,皮肤白且笑容甜美,进门那种“女朋友感”直接拉满。服务过程非常细腻,从温润的湿吻到极具包裹感的口活,每一项都做得极其卖力,完全没有机车感。正餐环节姿势配合度高,不仅紧致顺滑,伴随着轻声哼鸣的互动更是让人瞬间缴械。最加分的是完事后那份温存,靠在身边轻声软语,甚至会细心…

23 Sept 2026, 14:05 UTC596 viewsread 24 September 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 】:成海 【日 期】:9.23 【美女昵称】:#雅乐 【所属频道】:https://t.me/whxsh_985/10460 【地 区】:洪山区 【见面感觉】:9 【身材曲线】:9 【风情指数】:9 【技术含量】:9 【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】:关注老师好久了,刚好看到老师回来上课了,位置很好找,打开门看到老师比想象中还要好看,迫不急待交了水费然后开始上课。老师很细心帮我洗好还来了个水中萧,搞得马上欲火焚身,先出来床做个B面,胸推很舒服,老师口活很好,舌头很软,然后来了个毒龙搞得弟弟立马硬邦邦,老师帮我把A面的漫游,舔蛋吹箫全部做了个遍,弟弟…

23 Sept 2026, 13:44 UTC638 views1 reactionsread 24 September 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 】:九节狼 【日 期】:2026-09-23 【美女昵称】:熙熙 【所属频道】:公开榜 https://t.me/whxsh_985/8586 【地 区】:洪山区 【见面感觉】:8(满分10分) 【身材曲线】:8 【风情指数】:7 【技术含量】:8 【年 龄】:20左右吧 【身 高】:大概一米六,身材苗条 【凶 器】:C 【肤 色】:黄白偏白 【人照相似】:8 【服务内容】:口 做 洗澡 舌吻 【服务过程】:约课很顺利,信息回复很及时,进门看到黑色连衣包臀裙的苗条御姐,感觉挺好,然后帮我洗澡,漱口,跟老师聊天不会尴尬很随和,上床先舌吻,吻技还挺好,舌头相互纠缠,相互吮吸,一点也不抗拒。然后口,无齿感,69无异味,带着沐浴露的香气,小蝴蝶型,爽吃。…

❤1

23 Sept 2026, 13:27 UTC552 viewsread 24 September 2026

武汉学生会2.0 报告榜 『推荐指数:⭐️⭐️⭐️⭐️⭐️ 【验证人 】:匿名 【日 期】:9.23 【美女昵称】:#小春 【所属频道】公开榜 https://t.me/whxsh_985/10907 【地 区】:汉口区 【见面感觉】:9 【身材曲线】:10 【风情指数】:9 【技术含量】:10 【年 龄】:24左右吧 【身 高】:大概一米六,身材苗条火辣 【凶 器】:C非常弱软 【肤 色】:美白 有弹性 手感超赞 【人照相似】:八分 【服务内容】:口 做 洗澡 调情 【服务过程】: 优点.奶子大 大白兔 身材好 态度很好 很用心做服务 体验感很好 不踩雷 服务也很多 很骚 会二刷 缺点:无 上榜联系 @whlll_bot 群聊 @whxsh_1

23 Sept 2026, 13:24 UTC542 viewsread 24 September 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 】:小酒窝 【日 期】:9.23 【美女昵称】:#小A 【所属频道】:公开榜 https://t.me/whxsh_985/10873 【地 区】:汉阳区 【见面感觉】:9 【身材曲线】:9.5 【风情指数】:9 【技术含量】:8.5 【年 龄】:20左右 【身 高】:大概一米六五,身材苗条 【凶 器】:a 【肤 色】:白嫩 【人照相似】:人照九分 【服务内容】:口 做 舌吻 【服务过程】: 优点:下班之后和老师约好时间,来到教室后见到老师后,人照九分是有的,皮肤白皙,眼睛大大的,老师身穿一袭黑色包臀裙,把苗条的身材凸显的淋漓尽致,一开始的时候,我和老师都有点拘谨,简单和老师交谈一番,就没有刚开始那番陌生,渐渐的话变得多了起来,眼看时间不早…

23 Sept 2026, 13:22 UTC551 viewsread 24 September 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 】:高达 【日 期】9月23日 【美女昵称】:#萍萍 @tontongggg 【所属频道】:公开榜 【地 区】:洪山区 https://t.me/whxsh_985/6302 【见面感觉】9 【身材曲线】:9 【风情指数】:9 【技术含量】:9 【年 龄】:26 【身 高】:164 【凶 器】:C 【膚 色】:正常 【人照相似】:9 【服務內容】:课表都有 【服務過程】:感觉我被当成小厨男对待了哈哈哈哈哈,所有的服务往大腿上去的时候我全部软脚虾了。ps:出击前不建议各位练腿。 老师整个过程中超级耐心超级细心,而且如果你真的受不了ls会主动停下 。🐍了个巨饱。各种🐍,可能我是真的爱🐍吧。ls是真的爱口,第二水差点口出来。以后出击前坚决不练腿! 缺点

23 Sept 2026, 13:18 UTC505 viewsread 24 September 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 】:K 【日 期】:9.22 【美女昵称】:#许诺 【所属频道】:https://t.me/whxsh_985/11060 【地 区】:汉阳区 【见面感觉】:9(满分10分) 【身材曲线】:9.5 【风情指数】:9.3 【技术含量】:9.5 【年 龄】:二十出 【身 高】:165 【凶 器】:D 【肤 色】:白嫩 【人照相似】:人照九五分 【服务内容】:课表 【服务过程】:必须夸下新人许诺老师。服务内容都是课表上有的,老师身材好奶子大,皮肤白嫩。私密部位粉嫩水多紧致。老师服务的时候非常细致,有一说一,我基本没怎么出击过,其她老师我也不知道,但是老师这一款,真的长在我的心巴上了,真的好评。毒🐉也是第一次体验,很新奇。🐻推服务最后再给我口的邦邦硬,戴…

Showing the 12 most recent of 705 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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“武汉学报告榜2.0” (@whbgb_3722), 27,800 subscribers as measured 19 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.