#频道互推 #相似推荐 ------------------------------ 📢 猫咪社区|瑜伽裤 · 紧身裤 · 蜜桃臀 · 丝袜 · 📢 🌈乐趣驿站🎈 📢 小包子铺 📢 长沙夜色 📢 视频文案 📢 精聊话术-新手教程库-成功案例 📢 四海|侵权举报 / 点号封号 开户查档 📢 精神小妹 📢 广州珍味汇 📢 北京 宫宴厅 ------------------------------ ☁️ 互推入口:@sooo
Signed SOSO搜搜

Channel
@kunkun_shuqi
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
13,023subscribers
-575 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001812972648 |
|---|---|
| Type | Channel |
| Username | @kunkun_shuqi |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/kunkun_shuqi |
Marketing & affiliate — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 64% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 16:15 | 13,023 | -27 |
| 16 Sept 2026, 09:40 | 13,050 | -22 |
| 14 Sept 2026, 16:39 | 13,072 | -25 |
| 13 Sept 2026, 05:01 | 13,097 | -20 |
| 11 Sept 2026, 08:55 | 13,117 | -41 |
| 8 Sept 2026, 16:20 | 13,158 | -39 |
| 5 Sept 2026, 08:01 | 13,197 | -29 |
| 3 Sept 2026, 12:42 | 13,226 | -20 |
| 2 Sept 2026, 04:44 | 13,246 | -21 |
| 1 Sept 2026, 07:45 | 13,267 | -11 |
| 31 Aug 2026, 06:24 | 13,278 | -13 |
| 30 Aug 2026, 02:53 | 13,291 | -22 |
| 29 Aug 2026, 05:38 | 13,313 | -12 |
| 28 Aug 2026, 07:25 | 13,325 | -7 |
| 27 Aug 2026, 09:35 | 13,332 | -14 |
| 26 Aug 2026, 06:46 | 13,346 | -12 |
| 25 Aug 2026, 04:42 | 13,358 | -19 |
| 24 Aug 2026, 00:03 | 13,377 | -21 |
| 22 Aug 2026, 05:37 | 13,398 | -14 |
| 21 Aug 2026, 00:54 | 13,412 | first reading |
36 posts held, back to 11 July 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 49 pages of Telegram’s post history, 20 posts per page.
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 3 of 4 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 31 August 2026 |
|---|---|
| Posts held | 36 (11 July 2026 – 31 August 2026) |
| Views total | 1,356 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 20:24 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.
38 reactions across 21 posts, in 3 distinct kinds. The most used accounts for 65.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 25 | 65.8% | |
| 👍 | 10 | 26.3% | |
| 🔥 | 3 | 7.89% |
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 23 of the 36 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 38 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 11 July 2026 to 31 August 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.
#频道互推 #相似推荐 ------------------------------ 📢 猫咪社区|瑜伽裤 · 紧身裤 · 蜜桃臀 · 丝袜 · 📢 🌈乐趣驿站🎈 📢 小包子铺 📢 长沙夜色 📢 视频文案 📢 精聊话术-新手教程库-成功案例 📢 四海|侵权举报 / 点号封号 开户查档 📢 精神小妹 📢 广州珍味汇 📢 北京 宫宴厅 ------------------------------ ☁️ 互推入口:@sooo
Signed SOSO搜搜
有没有没注册过欧意的 来找我领奖励
👍1
Signed 我的智商有问题
频道适合看内容,群组更适合继续交流。 SOSO 可以直接找热门群组,也能按关键词搜同类圈子。 先打开看看当前推荐。
Signed SOSO搜搜
#频道互推 #相似推荐 ------------------------------ 📢 没品笑话🗯内涵段子皮皮虾搞笑沙雕视频 📢 狗蛋冲浪日志 📢 每日都更新🧈 📢 大卫的TG之旅 📢 最爱四坑少女了【汉服反差二次元】 📢 共享树洞小站(互助版) 📢 湘潭能够快速 📢 小乖🍬动态小屋 📢 小辞的朋友圈(冲1k) 📢 风景文案馆 ------------------------------ ☁️ 互推入口:@sooo
❤1
Signed SOSO搜搜
#频道互推 #相似推荐 ------------------------------ 📢 猫咪社区|瑜伽裤 · 紧身裤 · 蜜桃臀 · 丝袜 · 📢 🌈乐趣驿站🎈 📢 小包子铺 📢 长沙夜色 📢 视频文案 📢 精聊话术-新手教程库-成功案例 📢 四海|侵权举报 / 点号封号 开户查档 📢 精神小妹 📢 广州珍味汇 📢 北京 宫宴厅 ------------------------------ ☁️ 互推入口:@sooo
👍1
Signed SOSO搜搜
刷到一个频道后,通常还想找更多同类入口。 SOSO 精选频道会随机推荐一批已收录频道。 适合继续发现相近内容。
👍1
Signed SOSO搜搜
#频道互推 #相似推荐 ------------------------------ 📢 没品笑话🗯内涵段子皮皮虾搞笑沙雕视频 📢 狗蛋冲浪日志 📢 每日都更新🧈 📢 大卫的TG之旅 📢 最爱四坑少女了【汉服反差二次元】 📢 共享树洞小站(互助版) 📢 湘潭能够快速 📢 小乖🍬动态小屋 📢 风景文案馆 📢 🎸狗推DJ私人定制🎸DJ音乐 ------------------------------ ☁️ 互推入口:@sooo
👍1
Signed SOSO搜搜
#频道互推 #相似推荐 ------------------------------ 📢 猫咪社区|瑜伽裤 · 紧身裤 · 蜜桃臀 · 丝袜 · 📢 🌈乐趣驿站🎈 📢 小包子铺 📢 长沙夜色 📢 视频文案 📢 精聊话术-新手教程库-成功案例 📢 四海|侵权举报 / 点号封号 开户查档 📢 精神小妹 📢 广州珍味汇 📢 北京 宫宴厅 ------------------------------ ☁️ 互推入口:@sooo
Signed SOSO搜搜
不行
👍1
Signed 我的智商有问题
Sticker, posted without a caption
👍1
Signed 吞哥(收同等特邀 交易转账认准Id)
来几个个同等吧 吞弟要过七夕💏🌹
👍1
Signed 吞哥(收同等特邀 交易转账认准Id)
#频道互推 #相似推荐 ------------------------------ 📢 没品笑话🗯内涵段子皮皮虾搞笑沙雕视频 📢 狗蛋冲浪日志 📢 每日都更新🧈 📢 大卫的TG之旅 📢 最爱四坑少女了【汉服反差二次元】 📢 共享树洞小站(互助版) 📢 湘潭能够快速 📢 小乖🍬动态小屋 📢 风景文案馆 📢 🎸狗推DJ私人定制🎸DJ音乐 ------------------------------ ☁️ 互推入口:@sooo
❤1
Signed SOSO搜搜
Showing the 12 most recent of 36 posts we hold for @kunkun_shuqi. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“困困的秘密基地㊙️” (@kunkun_shuqi), 13,023 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/kunkun_shuqi.
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.