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Channel

上海武道大会资源榜单

@shwddhzyb

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

52,692subscribers

-2,817 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001403081889
TypeChannel
Username@shwddhzyb
Description资源榜单: @shwddhzyb 花魁榜单: @shwddhhkb 福利频道: @shwddhgg 报告频道: @shwddhbgb 提交报告: @shwddhjqr_bot 中转备用群: @shwddhxcq 老师动态群: @shwddhlsggq 唯一管理: @shwddhsbjqr_bot 聊天大群:https://t.me/shwddh
CreatedBetween 1 November 2018 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/shwddhzyb

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 9 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

50,04056,43753,238.56 August 2026 — 55,509 subscribers7 August 2026 — 55,499 subscribers8 August 2026 — 55,461 subscribers9 August 2026 — 55,460 subscribers10 August 2026 — 55,406 subscribers11 August 2026 — 56,437 subscribers12 August 2026 — 56,373 subscribers13 August 2026 — 56,353 subscribers14 August 2026 — 56,319 subscribers16 August 2026 — 56,271 subscribers17 August 2026 — 56,231 subscribers18 August 2026 — 56,172 subscribers19 August 2026 — 56,118 subscribers20 August 2026 — 56,097 subscribers21 August 2026 — 50,040 subscribers22 August 2026 — 52,173 subscribers24 August 2026 — 52,104 subscribers25 August 2026 — 52,061 subscribers26 August 2026 — 51,660 subscribers27 August 2026 — 56,138 subscribers28 August 2026 — 56,094 subscribers29 August 2026 — 56,050 subscribers30 August 2026 — 56,016 subscribers1 September 2026 — 55,998 subscribers2 September 2026 — 55,984 subscribers3 September 2026 — 55,960 subscribers5 September 2026 — 55,940 subscribers8 September 2026 — 55,807 subscribers11 September 2026 — 55,545 subscribers13 September 2026 — 53,598 subscribers14 September 2026 — 53,689 subscribers16 September 2026 — 56,401 subscribers18 September 2026 — 53,344 subscribers25 September 2026 — 52,692 subscribers52,6926 August 202625 September 2026
34 measurements spanning 49 days, net -2,817. 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 49,080–57,397 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
25 Sept 2026, 06:1952,692-652
18 Sept 2026, 23:5553,344-3,057
16 Sept 2026, 13:5956,401+2,712
14 Sept 2026, 17:4053,689+91
13 Sept 2026, 03:3953,598-1,947
11 Sept 2026, 04:3855,545-262
8 Sept 2026, 04:1755,807-133
5 Sept 2026, 03:4155,940-20
3 Sept 2026, 10:1755,960-24
2 Sept 2026, 01:4155,984-14
1 Sept 2026, 00:2755,998-18
30 Aug 2026, 21:2856,016-34
29 Aug 2026, 21:4656,050-44
28 Aug 2026, 21:5756,094-44
27 Aug 2026, 18:5356,138+4,478
26 Aug 2026, 17:0851,660-401
25 Aug 2026, 13:4452,061-43
24 Aug 2026, 13:3652,104-69
22 Aug 2026, 21:2852,173+2,133
21 Aug 2026, 10:2950,040first reading

Engagement

147 posts held, back to 6 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 117 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.11%
avg views ÷ 52,692 subscribers
Avg views / post
1,110
75 posts measured
Reaction rate
0.639%
reactions ÷ views · ER floor
Posts in window
75
of 147 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 16 of 75 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 30 September 2026
Posts held147 (6 August 2026 – 30 September 2026)
Views total83,430
Reactions total294
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 16:59 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
≈1,070
Videos
≈244
Links
≈232

Lifetime counters from Telegram’s own channel header, read 30 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.

Video runtime
3m 08s
Average length
10s

Measured directly from 19 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

462 reactions across 33 posts, in 7 distinct kinds. The most used accounts for 81.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤37781.6%
👍296.28%
❤‍🔥224.76%
🔥122.60%
😍102.16%
👏91.95%
🤩30.649%

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 33 of the 147 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 462 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 147 most recent posts we hold, published 6 August 2026 to 30 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

30 Sept 2026, 16:30 UTC837 viewsread 30 September 2026
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每小时实时更新一次老师出勤状态 (只显示今日出勤状态的VIP老师) 以下为今日打卡出勤的所有VIP老师: 💗嘉定区彩灯6P 💗徐汇区柒柒8P 💗徐汇区诗诗10P 💗静安区瑶瑶10P 💗静安区小泡芙12P 💗浦东新区苏清漫12P 💗浦东新区bobo10P 💗静安区夜宴海选店6P 💗浦东新区桃桃龙抓筋5P 💗徐汇区萝莉湿乐园6P 💗浦东新区菲菲抓龙筋6P 💗徐汇区少女污会所10P VIP老师当天在群内任意发言一次即可变成可约状态展示在此榜单;也可以在机器人里面选择底部菜单的打卡功能进行打卡即可变成可约状态展示在此榜单;打卡机器人:@shwddhjqr_bot

30 Sept 2026, 04:30 UTC917 viewsread 30 September 2026
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每小时实时更新一次老师出勤状态 (只显示今日出勤状态的VIP老师) 以下为今日打卡出勤的所有VIP老师: 💗嘉定区彩灯6P 💗徐汇区柒柒8P 💗徐汇区诗诗10P 💗静安区瑶瑶10P 💗静安区小泡芙12P 💗浦东新区苏清漫12P 💗浦东新区bobo10P 💗静安区夜宴海选店6P 💗浦东新区桃桃龙抓筋5P 💗徐汇区萝莉湿乐园6P 💗浦东新区菲菲抓龙筋6P 💗徐汇区少女污会所10P VIP老师当天在群内任意发言一次即可变成可约状态展示在此榜单;也可以在机器人里面选择底部菜单的打卡功能进行打卡即可变成可约状态展示在此榜单;打卡机器人:@shwddhjqr_bot

29 Sept 2026, 14:22 UTC≈3,020 views25 reactionsread 30 September 2026
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〖艺名〗:#瑶瑶ㅤㅤ 〖位置〗:#静安区 #芷江中路 〖课费〗:#1000p #1500pp 〖描述〗:#165cm #48kg #C 〖联系〗:@wxCHH6589 〖双向〗:@shanghai_688bot 〖标签〗:#舌吻 #六九 #调情 #陪浴 #嫩妹 #情趣制服 #丝袜高跟 #蜜桃臀 #三点粉嫩 #可夜 📬提交报告│🔗一键关注│💌联系管理 The content of this post and the chat history constitute a lawful exercise of rights, do not violate Telegram's rules, and do not constitute prohibited content in any.

❤16👍9

29 Sept 2026, 04:30 UTC879 viewsread 29 September 2026
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每小时实时更新一次老师出勤状态 (只显示今日出勤状态的老师) 以下为今日打卡出勤的所有老师: 浦东新区 💝秀儿10P 💝亿涵10P 💝念念10P 💝苏清漫12P💝bobo10P💝桃桃龙抓筋5P 💝菲菲抓龙筋6P 💝嫩妹女仆公馆5P 普陀区 💝小美5P 💝晚烟烟20P 闵行区 💝婉怡12P 徐汇区 💝柒柒8P 💝诗诗10P 💝萝莉湿乐园6P 💝少萝俱乐部10P 💝少女污会所10P 静安区 💝小泡芙12P 💝夜宴海选店6P 长宁区 💝贝贝7P 💝小初13P 虹口区 嘉定区 💝彩灯6P 💝杨杨8P 💝七月8P 💝饱饱10P 宝山区 松江区 黄浦区 💝可馨5P 💝安以沫5P 青浦区 💝楠楠6P 奉贤区 老师当天在群内任意发言一次即可变成可约状态展示在此榜单;也可以在机器人里面选择底部菜单的打卡功…

28 Sept 2026, 16:30 UTC508 viewsread 28 September 2026
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每小时实时更新一次老师出勤状态 (只显示今日出勤状态的老师) 以下为今日打卡出勤的所有老师: 浦东新区 💝亿涵10P💝苏清漫12P💝bobo10P 💝桃桃龙抓筋5P 💝菲菲抓龙筋6P 普陀区 💝小美5P 闵行区 徐汇区 💝柒柒8P 💝诗诗10P 💝萝莉湿乐园6P 💝少萝俱乐部10P 💝少女污会所10P 静安区 💝小泡芙12P 💝夜宴海选店6P 长宁区 虹口区 嘉定区 💝彩灯6P 💝七月8P 💝饱饱10P 宝山区 松江区 黄浦区 青浦区 奉贤区 老师当天在群内任意发言一次即可变成可约状态展示在此榜单;也可以在机器人里面选择底部菜单的打卡功能进行打卡即可变成可约状态展示在此榜单;打卡机器人:@shwddhjqr_bot

28 Sept 2026, 16:01 UTC≈3,060 views28 reactionsread 30 September 2026
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〖艺名〗:#苏清漫 (角色扮演)ㅤㅤ 〖位置〗:#浦东新区 #龙阳路ㅤㅤ 〖课费〗:#1200p #1900ppㅤ 〖描述〗:#160cm #47kg #Bㅤ 〖联系〗:@su_qing_man66ㅤ 〖双向〗:@a88sqm_bot 〖标签〗:#角色扮演 #耳语呢喃 #玉指柔情 #漫游世界 #柔体轻音 #玉女萧 #舌鼻舞蹈 #爱情交融 #cos #白虎 #可外 #可夜 📬提交报告│🔗一键关注│💌联系管理 The content of this post and the chat history constitute a lawful exercise of rights, do not violate Telegram's rules, and do not constitute prohibited content in any.

❤18😍10

28 Sept 2026, 04:30 UTC400 viewsread 28 September 2026
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每小时实时更新一次老师出勤状态 (只显示今日出勤状态的老师) 以下为今日打卡出勤的所有老师: 浦东新区 💝亿涵10P💝念念10P💝bobo10P 💝桃桃龙抓筋5P 💝菲菲抓龙筋6P 💝嫩妹女仆公馆5P 普陀区 💝小美5P 闵行区 💝婉怡12P 💝萝莉岛海选会所9P 徐汇区 💝柒柒8P 💝诗诗10P 💝温迪咖啡6P 💝萝莉湿乐园6P 💝少萝俱乐部10P 💝少女污会所10P 静安区 💝小泡芙12P 💝夜宴海选店6P 长宁区 💝贝贝7P 虹口区 嘉定区 💝彩灯6P 💝杨杨8P 💝七月8P 💝饱饱10P 宝山区 松江区 黄浦区 💝安以沫5P 青浦区 💝楠楠6P 奉贤区 老师当天在群内任意发言一次即可变成可约状态展示在此榜单;也可以在机器人里面选择底部菜单的打卡功能进行打卡即可变成可约状态展示在此榜单;打卡机器人:@shwddhjqr_bot

27 Sept 2026, 15:30 UTC928 viewsread 27 September 2026
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每小时实时更新一次老师出勤状态 (只显示今日出勤状态的老师) 以下为今日打卡出勤的所有老师: 浦东新区 💝秀儿10P 💝亿涵10P 💝念念10P 💝bobo10P 💝桃桃龙抓筋5P 💝菲菲抓龙筋6P 💝嫩妹女仆公馆5P 普陀区 💝小美5P 💝佳人6P 💝晚烟烟20P 闵行区 💝婉怡12P💝韦雪20P💝夏清欢10P 徐汇区 💝柒柒8P 💝诗诗10P 💝温迪咖啡6P 💝萝莉湿乐园6P 💝少萝俱乐部10P 💝少女污会所10P 静安区 💝彤瑶10P💝璃茉15P💝小泡芙12P 💝夜宴海选店6P 长宁区 💝贝贝7P 虹口区 嘉定区 💝彩灯6P 💝杨杨8P 💝七月8P 💝饱饱10P 💝懒羊羊10P 宝山区 💝婉茹6P 松江区 黄浦区 青浦区 💝楠楠6P 奉贤区 老师当天在群内任意发言一次即可变成可约状态展示在此榜单;也可以在机器人里面选择底部菜…

27 Sept 2026, 03:30 UTC961 viewsread 27 September 2026
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每小时实时更新一次老师出勤状态 (只显示今日出勤状态的老师) 以下为今日打卡出勤的所有老师: 浦东新区 💝亿涵10P💝念念10P💝bobo10P 💝桃桃龙抓筋5P 💝菲菲抓龙筋6P 💝嫩妹女仆公馆5P 普陀区 💝小美5P 闵行区 💝婉怡12P 💝夏清欢10P 徐汇区 💝柒柒8P 💝诗诗10P 💝萝莉湿乐园6P 💝少萝俱乐部10P 💝少女污会所10P 静安区 💝璃茉15P💝小泡芙12P💝夜宴海选店6P 长宁区 💝贝贝7P 虹口区 嘉定区 💝彩灯6P 💝杨杨8P 💝七月8P 💝饱饱10P 宝山区 松江区 黄浦区 青浦区 奉贤区 老师当天在群内任意发言一次即可变成可约状态展示在此榜单;也可以在机器人里面选择底部菜单的打卡功能进行打卡即可变成可约状态展示在此榜单;打卡机器人:@shwddhjqr_bot

26 Sept 2026, 15:31 UTC895 viewsread 26 September 2026
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每小时实时更新一次老师出勤状态 (只显示今日出勤状态的老师) 以下为今日打卡出勤的所有老师: 浦东新区 💝小婷6P 💝秀儿10P 💝亿涵10P 💝念念10P💝小甜甜10P💝bobo10P 💝桃桃龙抓筋5P 💝菲菲抓龙筋6P 💝嫩妹女仆公馆5P 普陀区 💝小美5P 💝佳人6P 💝晚烟烟20P 闵行区 💝婉怡12P 💝夏清欢10P 徐汇区 💝柒柒8P 💝诗诗10P 💝萝莉湿乐园6P 💝少萝俱乐部10P 💝少女污会所10P 静安区 💝彤瑶10P💝璃茉15P💝小泡芙12P 💝夜宴海选店6P 长宁区 💝贝贝7P 虹口区 嘉定区 💝彩灯6P 💝杨杨8P 💝七月8P 💝饱饱10P 💝懒羊羊10P 宝山区 💝婉茹6P 松江区 黄浦区 青浦区 💝楠楠6P 奉贤区 老师当天在群内任意发言一次即可变成可约状态展示在此榜单;也可以在机器人里面选…

26 Sept 2026, 10:20 UTC≈3,270 views35 reactionsread 30 September 2026
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〖艺名〗:#萝莉湿乐园ㅤㅤ 〖位置〗:#徐汇区 #青浦区 #虹口区ㅤㅤ 〖课费〗:#680p #998p #1388p #1988p 〖描述〗:#萝莉湿乐园92·95海选店ㅤ 〖联系〗:@cdk588 〖双向〗:@kkck18 〖标签〗:#海选 #推油 #口爆 #浴缸 #情景演绎 #剧本选择 #店铺 #会所 #情趣丝袜 #制服诱惑 😏😏😏😏😏😏😏😏😏😏 📱📱📱📱📱📱📱📱📱 少萝湿乐园精品00后海选 🟠萝莉 御姐 二次元少女 🔴 🟠模特 cos 兼职JK学生妹🔴 百种制服丝袜 让您尽情享受😜😛😜游戏 ☺️特色精品剧情演绎☺️ 🌸调教清纯小修女 🌸爆操乖巧小女仆 🌸潜规则职场女秘书 🌸教室内射白虎学妹 🌸极品小护士性爱治疗 🌸反差萝莉的性爱初体验 免费主题情趣房间 制服丝袜 学校 医…

❤20❤‍🔥8🔥7

26 Sept 2026, 05:19 UTC≈3,140 views29 reactionsread 29 September 2026
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〖艺名〗:#柒柒ㅤㅤ 〖位置〗:#徐汇区 #徐家汇 〖课费〗:#800p #1500pp 〖描述〗:#168cm #50kg #B 〖联系〗:@qiqi3676 〖双向〗:@qiqi375_bot 〖标签〗:#鸳鸯浴 #水中萧 #胸推 #指滑 #漫游 #舌吻 #毒龙 #口爆 #御姐 #嫩妹 #按摩松筋 #高跟丝袜 #情趣制服 #下午茶 #包时 #可夜 📬提交报告│🔗一键关注│💌联系管理 The content of this post and the chat history constitute a lawful exercise of rights, do not violate Telegram's rules, and do not constitute prohibited content in any.

❤17👍10👏2

Showing the 12 most recent of 147 posts we hold for @shwddhzyb. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 6 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.

“上海武道大会资源榜单” (@shwddhzyb), 52,692 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/shwddhzyb.

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.