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Channel

武汉档案馆🅐榜单

@wuhan_dangan

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

28,482subscribers

+9,547 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-1002573890545
TypeChannel
Username@wuhan_dangan
Description武汉楼凤档案 上榜|投诉|广告 @dag9527_bot 群聊 t.me/wuhan_qun 报告 t.me/wuhan_baogao 楼凤|外围|
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live15 October 2026
Measurements held34
Confirmed unchanged1 time, most recently 15 October 2026
On Telegramt.me/wuhan_dangan

Topic

Adult — 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 73% 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

18,93528,48223,708.511 August 2026 — 18,935 subscribers11 August 2026 — 19,298 subscribers12 August 2026 — 19,398 subscribers14 August 2026 — 19,500 subscribers15 August 2026 — 19,884 subscribers16 August 2026 — 19,954 subscribers17 August 2026 — 20,244 subscribers19 August 2026 — 20,554 subscribers20 August 2026 — 20,781 subscribers21 August 2026 — 20,804 subscribers22 August 2026 — 21,028 subscribers24 August 2026 — 21,394 subscribers25 August 2026 — 21,484 subscribers26 August 2026 — 21,543 subscribers27 August 2026 — 21,614 subscribers28 August 2026 — 21,663 subscribers29 August 2026 — 21,891 subscribers29 August 2026 — 22,059 subscribers31 August 2026 — 22,091 subscribers1 September 2026 — 22,329 subscribers2 September 2026 — 22,507 subscribers3 September 2026 — 22,675 subscribers5 September 2026 — 22,943 subscribers8 September 2026 — 22,991 subscribers11 September 2026 — 23,536 subscribers13 September 2026 — 23,721 subscribers14 September 2026 — 24,028 subscribers16 September 2026 — 24,075 subscribers18 September 2026 — 24,138 subscribers1 October 2026 — 26,653 subscribers6 October 2026 — 27,412 subscribers10 October 2026 — 28,233 subscribers13 October 2026 — 28,464 subscribers15 October 2026 — 28,482 subscribers11 August 202615 October 2026
34 measurements spanning 65 days, net +9,547. 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 17,503–29,914 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
15 Oct 2026, 00:3528,482+18
13 Oct 2026, 22:3928,464+231
10 Oct 2026, 15:0228,233+821
6 Oct 2026, 15:2127,412+759
1 Oct 2026, 13:3726,653+2,515
18 Sept 2026, 12:4124,138+63
16 Sept 2026, 04:5624,075+47
14 Sept 2026, 14:3624,028+307
13 Sept 2026, 03:5923,721+185
11 Sept 2026, 03:3923,536+545
8 Sept 2026, 05:1522,991+48
5 Sept 2026, 02:2022,943+268
3 Sept 2026, 12:1822,675+168
2 Sept 2026, 03:5522,507+178
1 Sept 2026, 02:0622,329+238
31 Aug 2026, 02:4322,091+32
29 Aug 2026, 23:1322,059+168
29 Aug 2026, 01:5921,891+228
28 Aug 2026, 01:1321,663+49
27 Aug 2026, 03:3521,614first reading

Engagement

57 posts held, back to 9 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 86 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.1%
avg views ÷ 28,482 subscribers
Avg views / post
4,310
24 posts measured
Reaction rate
2.36%
reactions ÷ views · ER floor
Posts in window
24
of 57 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 22 of 24 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 held57 (9 August 2026 – 15 October 2026)
Views total103,390
Reactions total2,330
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Oct 2026, 17:05 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
447
Videos
110
Links
82

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
3m 47s
Average length
9s

Measured directly from 24 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

3,594 reactions across 51 posts, in 11 distinct kinds. The most used accounts for 44.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,58944.2%
❤54415.1%
🥰40611.3%
🔥36910.3%
🎉3399.43%
👏2446.79%
😍912.53%
🐳40.111%
🙏30.083%
🫡30.083%
😘20.056%

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 54 of the 57 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 3,594 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 57 most recent posts we hold, published 9 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, 06:05 UTC≈4,540 views100 reactionsread 15 October 2026
Poll

✍关于档案馆第二十二期白嫖系列人选的意见征集,你们选好,我们来搞,欢迎为你们的心头肉拉票票🎉

  1. 桃桃 t.me/wuhan_dangan/38417%
  2. 芝琦 t.me/wuhan_dangan/56138%
  3. 李知夏 t.me/wuhan_dangan/36438%
  4. 缇娜 t.me/wuhan_dangan/30822%
  5. 苏苏 t.me/wuhan_dangan/78712%

The shares total 127%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

👏21🔥19🥰18👍16🎉13❤11🫡1🙏1

13 Oct 2026, 15:36 UTC≈1,780 views35 reactionsread 15 October 2026

档案馆所有活动的抽奖结果以后都存入这个频道以备查询 https://t.me/wuhan_cs 群内输入 查询抽奖 可自动回复

👍12🎉10❤5🔥5👏2🥰1

13 Oct 2026, 12:59 UTC≈2,090 views73 reactionsread 15 October 2026
Photo

✍🏻️武汉档案馆花名册(榜单导航直达) 👉🏻 t.me/wuhan_dangan/374 她叫:苏苏 属性:#楼凤 位置:#H汉口 后湖 价格:6p/12pp 联系:@Ai_c05 简介:@Ai_z_ai ✈️————关于档案馆———— 👉🏻|写报告点这里 | 上榜点这里| 档案·主群 | t.me/wuhan_qun 档案·报告 | t.me/wuhan_baogao

🔥19👍16❤11🥰10👏9🎉8

11 Oct 2026, 14:17 UTC≈3,500 views78 reactionsread 15 October 2026

枣枣白嫖券中奖人退群,作废 掉落奖品调剂程序启动 奖品: p白嫖券 准备好,群内发言快抽,参与门槛66条,发言统计周期24小时,欢迎大家在抽奖发布后来玩。 抽奖链接 https://t.me/wuhan_qun/104326 已开奖

🥰17❤16🎉16🔥13👍9😍6👏1

11 Oct 2026, 11:02 UTC≈2,230 views118 reactionsread 15 October 2026
Photo

✍🏻️武汉档案馆花名册(榜单导航直达) 👉🏻 t.me/wuhan_dangan/374 她叫:紫珊 属性:#楼凤 位置:#H汉口 后湖 价格:6p 联系:@zhishanya 简介:@zishanye · 🏷️ 嫩妹颜值车 ✈️————关于档案馆———— 👉🏻|写报告点这里 | 上榜点这里| 档案·主群 | t.me/wuhan_qun 档案·报告 | t.me/wuhan_baogao

👍82❤11🔥8🎉7🥰7👏3

9 Oct 2026, 09:30 UTC≈4,150 views69 reactionsread 15 October 2026
Photo

✍🏻️武汉档案馆花名册(榜单导航直达) 👉🏻 t.me/wuhan_dangan/374 她叫:妙妙 属性:#楼凤 位置:#J汉阳 王家湾 价格:6p/10pp 联系:@miaomiao9988770 简介:@qimiao1234588 ✈️————关于档案馆———— 👉🏻|写报告点这里 | 上榜点这里| 档案·主群 | t.me/wuhan_qun 档案·报告 | t.me/wuhan_baogao

❤18👍12🔥11😍9🎉6👏6🥰6😘1

8 Oct 2026, 10:14 UTC≈10,200 views56 reactionsread 15 October 2026
Photo

群内抽奖有点多的时候,会给大家整理一下,方便参与,本期整理共三个抽奖,其中两个低门槛,一个发言一百条。 枣枣 10.11 开奖 档案馆白嫖系列第二十期,枣枣600元,发口令参与 https://t.me/wuhan_qun/91666 达达 10.13开奖 档案馆白嫖系列第二十一期,达达1000元,发口令参与 https://t.me/wuhan_qun/96029 达达 10.10开奖 档案馆群内氛围型抽奖,水神专供,达达500元券,发言100条参与 https://t.me/wuhan_qun/95560 群内发一下 抽奖 群内主要玩法输入 剑来 ✍🏻注意不要过分瞎水,被巡查管理碰到会临时禁言以及屏蔽抽奖资格,白费劲,可以自己带个搭子过来水,自然点。

👍11❤10🔥10👏8🥰8🎉7🫡1🙏1

8 Oct 2026, 09:59 UTC≈2,540 viewsread 13 October 2026
Photo

🎰 档案馆白嫖系列二十一期,达达(1000元),大只马颜值嫩妹 t.me/wuhan_dangan/722 📮 参与条件: 🌏️ 归属地 湖北 🎫 加入-达达的更衣室 🎫 加入-武汉档案馆🅐榜单 🎫 加入-武汉档案馆🅐群聊|抽奖 └ 🔑 发送口令﹝达达,达达,漂亮的达达!﹞ ❗ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ 半价or白嫖(浮动看规则) × 1 💰️ 档案馆通用100报销券 × 2 💰️ 陪跑团(竹简一枚) × 10 ⚠️ 抽奖说明: 请仔细阅读说明,避免奖品掉落浪费好运。 浮动优惠券规则: 按参与人数,仅两档! 499人及以下,奖品半价券 500人及以上,奖品白嫖券 通用报销券中奖后使用,出击记录+提交报告后联系 @dag9527_bot 兑奖 竹简无需联系,中奖竹简会自动发放。 ⚠️⚠️⚠️抽奖期间去过的狼友如果中奖可选择兑换现金,不影响现在约。 ✍🏻️提示: 在群内发送“…

7 Oct 2026, 10:19 UTC≈3,040 views101 reactionsread 11 October 2026
Photo

✍🏻️武汉档案馆花名册(榜单导航直达) 👉🏻 t.me/wuhan_dangan/374 她叫:嘴巴嘟嘟 属性:#楼凤 位置:#K武昌 徐东 价格:6p/9pp 联系:@zbdd135 简介:@duo55588 ✈️————关于档案馆———— 👉🏻|写报告点这里 | 上榜点这里| 档案·主群 | t.me/wuhan_qun 档案·报告 | t.me/wuhan_baogao

👍53❤16🔥10🥰9👏8🎉5

6 Oct 2026, 05:25 UTC≈3,440 views119 reactionsread 11 October 2026

档案馆群内竹简兑换商品新增提醒 天降工兵(半价)x1 兑换价格: 竹简2枚 预购从速 群内福利商品查询: 竹简商店 竹简玩法渠道: 说明书 个人竹简查询: 储物袋 群聊: http://t.me/wuhan_qun 另:当前有两个白嫖抽奖进行中,翻看群内置顶,俏酱今天开,枣枣11号开,不要错过哦。 ❤️ 俏酱开奖结果 https://t.me/wuhan_qun/93986

👍68❤12🎉11🥰11🔥9👏8

5 Oct 2026, 14:07 UTC≈3,800 views178 reactionsread 8 October 2026
Photo

✍🏻️武汉档案馆花名册(榜单导航直达) 👉🏻 t.me/wuhan_dangan/374 她叫:希瑶 属性:#楼凤 位置:#J汉阳 王家湾 价格:6p/11pp 联系:@xiyaoyaobb 简介:@xixiyaoyao1 · 🏷️ 新疆妹妹 ✈️————关于档案馆———— 👉🏻|写报告点这里 | 上榜点这里| 档案·主群 | t.me/wuhan_qun 档案·报告 | t.me/wuhan_baogao

👍79❤22🎉22👏20🔥18🥰16😘1

5 Oct 2026, 13:40 UTC≈2,230 viewsread 7 October 2026
Photo

🎰 档案馆白嫖系列,枣枣(600元) t.me/wuhan_dangan/737 📮 参与条件: 🌏️ 归属地 湖北 🎫 加入-枣枣的树屋(开课中) 🎫 加入-武汉档案馆🅐榜单 🎫 加入-武汉档案馆🅐群聊|抽奖 └ 🔑 发送口令﹝有枣没枣,打一杆子,枣枣等我,杆子来啦!﹞ ❗ 口令提示: 请先参与抽奖,再发送口令激活 🎁 奖品内容: 💰️ 半价or白嫖(浮动看规则) × 1 💰️ 档案馆通用100报销券 × 2 💰️ 陪跑团(竹简一枚) × 10 ⚠️ 抽奖说明: 请仔细阅读说明,避免奖品掉落浪费好运。 浮动优惠券规则: 按参与人数,仅两档! 299人及以下,奖品半价券 300人及以上,奖品白嫖券 通用报销券中奖后出击,提交报告后联系 @dag9527_bot 兑奖 ⚠️⚠️⚠️抽奖期间去过的狼友如果中奖可选择兑换现金,不影响现在约。 ✍🏻️提示: 在群内发送“邀请”拉人可获积分。 榜单 t.me/wuh…

Showing the 12 most recent of 57 posts we hold for @wuhan_dangan. 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

@wuhan_dangan edited 4 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
12 August 2026
Most recent edit
13 October 2026

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

15 Oct 2026, 06:05 UTCAnonymous Poll625 voters

✍关于档案馆第二十二期白嫖系列人选的意见征集,你们选好,我们来搞,欢迎为你们的心头肉拉票票🎉

  1. 桃桃 t.me/wuhan_dangan/38417%
  2. 芝琦 t.me/wuhan_dangan/56138%
  3. 李知夏 t.me/wuhan_dangan/36438%
  4. 缇娜 t.me/wuhan_dangan/30822%
  5. 苏苏 t.me/wuhan_dangan/78712%

The shares total 127%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 57 most recent posts we hold, published 9 August 2026 to 15 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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 14 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.

“武汉档案馆🅐榜单” (@wuhan_dangan), 28,482 subscribers as measured 15 October 2026. Telegram Register, tgregister.com/channel/wuhan_dangan.

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.