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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 · Posts recorded as deleted · Polls · Citations · Cite this entry

33,004subscribers

+14,069 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

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|修车|外围|公寓|手推|得吃|上门
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 live8 November 2026
Measurements held58
Confirmed unchanged1 time, most recently 8 November 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 the other topics.

Growth

18,93533,01925,97711 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 subscribers15 October 2026 — 28,884 subscribers16 October 2026 — 28,922 subscribers17 October 2026 — 29,430 subscribers18 October 2026 — 29,497 subscribers19 October 2026 — 29,575 subscribers20 October 2026 — 30,011 subscribers22 October 2026 — 30,160 subscribers22 October 2026 — 30,275 subscribers24 October 2026 — 30,215 subscribers25 October 2026 — 30,404 subscribers26 October 2026 — 30,793 subscribers27 October 2026 — 31,001 subscribers28 October 2026 — 31,091 subscribers29 October 2026 — 31,132 subscribers30 October 2026 — 31,184 subscribers31 October 2026 — 31,523 subscribers1 November 2026 — 31,862 subscribers2 November 2026 — 31,910 subscribers3 November 2026 — 32,618 subscribers4 November 2026 — 32,785 subscribers5 November 2026 — 32,872 subscribers6 November 2026 — 32,928 subscribers7 November 2026 — 33,019 subscribers8 November 2026 — 33,004 subscribers33,00411 August 20268 November 2026
58 measurements spanning 89 days, net +14,069. 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 16,822–35,132 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
8 Nov 2026, 07:0633,004-15
7 Nov 2026, 04:2633,019+91
6 Nov 2026, 07:1932,928+56
5 Nov 2026, 08:5832,872+87
4 Nov 2026, 07:2832,785+167
3 Nov 2026, 06:3832,618+708
2 Nov 2026, 09:0731,910+48
1 Nov 2026, 05:5831,862+339
31 Oct 2026, 05:2131,523+339
30 Oct 2026, 01:5631,184+52
29 Oct 2026, 02:4731,132+41
28 Oct 2026, 03:4831,091+90
27 Oct 2026, 06:2031,001+208
26 Oct 2026, 03:3730,793+389
25 Oct 2026, 02:3030,404+189
24 Oct 2026, 00:4630,215-60
22 Oct 2026, 23:2930,275+115
22 Oct 2026, 00:5130,160+149
20 Oct 2026, 21:5630,011+436
19 Oct 2026, 21:0429,575first reading

Engagement

89 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 131 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.1%
avg views ÷ 33,004 subscribers
Avg views / post
3,340
37 posts measured
Reaction rate
1.35%
reactions ÷ views · ER floor
Posts in window
37
of 89 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 35 of 37 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 8 November 2026
Posts held89 (9 August 2026 – 8 November 2026)
Views total123,451
Reactions total1,621
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 09:58 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
554
Videos
127
Links
95

Lifetime counters from Telegram’s own channel header, read 8 November 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
9m 39s
Average length
17s

Measured directly from 35 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

4,811 reactions across 81 posts, in 11 distinct kinds. The most used accounts for 40.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,93840.3%
❤77516.1%
🥰56411.7%
🔥51910.8%
🎉4799.96%
👏4068.44%
😍1072.22%
🐳90.187%
🫡90.187%
🙏30.062%
😘20.042%

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 84 of the 89 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 4,811 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 89 most recent posts we hold, published 9 August 2026 to 8 November 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

Telegram’s own ‘edited’ marker: 11 of 37 posts held from the last 30 days (29.7%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

8 Nov 2026, 08:03 UTC323 viewsread 8 November 2026
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🎰 档案馆白嫖系列第二十六期,伊甜(800元) t.me/wuhan_dangan/895 📮 参与条件: 🌏️ 归属地 湖北 🎫 加入-伊甜的空间 🎫 加入-武汉档案馆🅐榜单 🎫 加入-武汉档案馆™ └ 🔑 发送口令﹝弄夫山泉,有伊点甜,这里是,伊甜!﹞ ❗ 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 💰️ 陪跑团(竹简十枚) × 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! 399人及以下,奖品半价券 400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/wuhan_dangan/374 群聊 t.me/wuhan…

8 Nov 2026, 07:27 UTC418 views5 reactionsread 8 November 2026
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✍🏻️武汉档案馆花名册(修车导航) 👉🏻 t.me/wuhan_dangan/374 她叫:悠然 标签:#楼凤 位置:#M洪山 南湖 价格:8p/14pp 联系:@ppopoppl 简介:@xjowozkxow 💲新人特惠: 11-8至11-12 优惠p-100 pp-200 ✈️————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

❤2🐳1🥰1😍1

6 Nov 2026, 09:28 UTC≈3,060 views41 reactionsread 8 November 2026
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✍🏻️武汉档案馆花名册(修车导航) 👉🏻 t.me/wuhan_dangan/374 她叫:8T-小李 标签:#8T #全裸 #海选 #4T 位置:#S武汉认证商家⭕️💢⭕️ 价格:399(带图点评) 一口价不限次 联系:@WHXL8T 简介:. 双向机器人 :@limuwan77_bot ✈️资讯频道: @WHDM1167 ✈️交流群组: @WHSPA8T 🕰️营业时间:中午12点—晚04点 ❤️‍🔥江岸❤️‍🔥江汉❤️‍🔥 🔥在岗 10+位姐妹 性感风骚👙颜值Hi选 私密环境💋停车方便🅿️ 地址🗺️江岸塔子湖店 【安全·私密·安逸·放松】 【细致服务·安排足钟】 ⚠️【无口】【无特服】 ✈️————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

👍10🔥9❤8🥰7👏4🎉3

5 Nov 2026, 14:06 UTC≈3,670 views5 reactionsread 8 November 2026
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二十五期白嫖开奖,苏苏 t.me/wuhan_qun/169735 头奖半价 中奖者无用户名,🚫作废! 准备好群内重抽。 ✍🏻重抽活动已发布,24小时快开,点击下方链接跳转。 t.me/wuhan_qun/170201

🔥2🫡2🥰1

5 Nov 2026, 13:38 UTC≈3,510 views51 reactionsread 8 November 2026
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✍🏻️武汉档案馆花名册(修车导航) 👉🏻 t.me/wuhan_dangan/374 她叫:安安 标签:#楼凤 位置:#H汉口 后湖 价格:7p/13pp 联系:@ananl11 简介:@anan815 · 🏷️ 顶流御姐 闷骚家妻风 ✈️————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

👍24❤6🎉6👏6🔥6🥰3

4 Nov 2026, 09:45 UTC≈4,050 views22 reactionsread 7 November 2026
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✍🏻️武汉档案馆花名册(修车导航) 👉🏻 t.me/wuhan_dangan/374 她叫:梦天使抓龙筋 标签:#抓龙筋 #公寓 #榨精 #个人 位置:#S武汉认证商家⭕️💢⭕️ 价格:598/898/1098 一口价不限次 联系:@whmts 简介:. ✈️资讯频道: @yjsfzlj 🕰️营业时间: 中午12点—晚00点 ❤️‍🔥洪山❤️‍🔥武昌❤️‍🔥 🔠在岗 2位姐妹 🅰️丝足抓龙筋🔡裸身助洗 🅱️半裸品奶🔡调情 【安全·私密·安逸·放松】 【细致服务·安排足钟】 ⚠️【无口】【无特服】 ✈️————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

👍13❤6🎉1🐳1👏1

4 Nov 2026, 09:26 UTC≈2,430 views24 reactionsread 5 November 2026
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✍🏻️武汉档案馆花名册(修车导航) 👉🏻 t.me/wuhan_dangan/374 她叫:西柚 标签:#楼凤 位置:#M洪山 徐东 价格:8p/15pp 联系:@xiyou0901 简介:@xiyou1680980 ✈️————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❤3🔥1🥰1😍1

3 Nov 2026, 13:20 UTC≈2,910 views41 reactionsread 5 November 2026
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✍🏻️武汉档案馆花名册(修车导航) 👉🏻 t.me/wuhan_dangan/374 她叫:MMC-小高 标签:#摸摸唱 #商K #MMC #KTV 位置:#S武汉认证商家⭕️💢⭕️ 价格:小时场人均800-1500 片场台人均1.8k-3k 联系:@whktv089 简介:. ✈️资讯频道: @whmmc02 ☎️联系电话: 15871389017 🕰️营业时间: 晚8点—早7点 🉐活动:新客到店可享受酒水特惠 🔥小时场嫩妹多,几十种刺激亲密游戏互动 ,片场能亲能摸,中途特色沙发秀,睡衣派对 ✈️————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

👏10👍8❤7🥰7🔥4🫡3🎉2

2 Nov 2026, 06:34 UTC≈3,830 views35 reactionsread 5 November 2026
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✍🏻️武汉档案馆花名册(修车导航) 👉🏻 t.me/wuhan_dangan/374 她叫:8T-派大星 标签:#4T #四推 #全裸 #94 位置:#S武汉认证商家⭕️💢⭕️ 价格:预约价400 联系:@AWNB668 简介:. 武汉顶级全裸8T 武汉性价比王全场预约:400💰 电话预约☎️: 13349751074 微信🛰️1️⃣预约: _You9876 QQ🐧1️⃣预约:169317176 武汉会所交流群: t.me/CMW6679 武汉技师频道: t.me/CMW6678 武汉技师点评: t.me/CMW6677 机器人🤖:@AWW998bot 营业时间:中午12:00-4:00凌晨 导航定位:汪家敦地铁S口 嫩妹顶美多多每日出勤20+++ (进店铺报派大星预约可享受优惠价) ✈️————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.m…

🎉9❤8🥰7👏5👍3🔥3

1 Nov 2026, 11:44 UTC≈2,810 views24 reactionsread 3 November 2026
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✍🏻️武汉档案馆花名册(修车导航) 👉🏻 t.me/wuhan_dangan/374 她叫:9T-熊猫 标签:#9T #96 #4T #全裸 位置:#S武汉认证商家⭕️💢⭕️ 价格:预约价398 联系:@PJM886 简介:. 技师点评频道: t.me/XZZ8887 技师频道 : t.me/NTR8868 加入群组: t.me/XZZ8886 双向机器人🤖: @NTB007bot 电话预约☎️: 17369267649 微信🛰1️⃣预约:jieyou802 微信:18772687505 QQ🐧1️⃣预约:1636621495 QQ🐧2️⃣预约:1917164824 湖北省武汉市洪山区书城路 ✈️————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❤4🔥2

1 Nov 2026, 10:07 UTC≈2,540 views17 reactionsread 3 November 2026
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✍🏻️武汉档案馆花名册(修车导航) 👉🏻 t.me/wuhan_dangan/374 她叫:小苏苏 标签:#楼凤 位置:#M洪山 街道口 价格:8p/15pp 联系:@qingqingon 简介:@susu9870 . 👩🏻年龄 21 💃🏻三围 163 44kg 32A ✈️————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

👍12❤2🥰2😍1

1 Nov 2026, 04:38 UTC≈1,380 views47 reactionsread 1 November 2026
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✍🏻️武汉档案馆花名册(修车导航) 👉🏻 t.me/wuhan_dangan/374 她叫:4T-小八 标签:#4T #92 #四推 位置:#S武汉认证商家⭕️💢⭕️ 价格:410(好评拍照-20) 联系:@xiaobayaty 简介:. 双向机器人:@xbhh11_bot 技师相册:@xiaobaty8 联系电话:13545071892(TG没回消息直接加微) 营业时间: 12点—凌晨3点 🉐活动:消费五次送半价一次 门店通用 ✈️————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

👍10❤9🔥7🎉6👏6🥰5🐳3🫡1

Showing the 12 most recent of 89 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 7 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
6 November 2026

Posts recorded as deleted after publishing

We recorded 4 posts on @wuhan_dangan as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
29 September 2026
Most recent seen missing
14 October 2026
Median time before seen missing
44 hours
Seen missing in the last 30 days
3

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 Poll983 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/38419%
  2. 芝琦 t.me/wuhan_dangan/56136%
  3. 李知夏 t.me/wuhan_dangan/36437%
  4. 缇娜 t.me/wuhan_dangan/30820%
  5. 苏苏 t.me/wuhan_dangan/78713%

The shares total 125%, 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 89 most recent posts we hold, published 9 August 2026 to 8 November 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 16 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 8 November 2026 — this entry's latest reading, not the date you are reading this.

“武汉档案馆🅐榜单” (@wuhan_dangan), 33,004 subscribers as measured 8 November 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.