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Channel

深圳永利高端大圈

@Kongjiemiyu

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

23,095subscribers

+14,355 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001793443132
TypeChannel
Username@Kongjiemiyu
Description深圳各类外围资源分享 老师自带工作室可外出 客服: @qq166 双向限制🚫联系: @qq18866_Bot
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 October 2026
Measurements held30
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/Kongjiemiyu

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 62% 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

8,74023,09515,917.57 August 2026 — 8,740 subscribers7 August 2026 — 8,740 subscribers10 August 2026 — 9,026 subscribers13 August 2026 — 9,503 subscribers17 August 2026 — 10,225 subscribers18 August 2026 — 10,439 subscribers19 August 2026 — 10,679 subscribers20 August 2026 — 10,908 subscribers21 August 2026 — 11,134 subscribers22 August 2026 — 11,635 subscribers24 August 2026 — 12,001 subscribers25 August 2026 — 12,266 subscribers26 August 2026 — 12,626 subscribers27 August 2026 — 12,816 subscribers28 August 2026 — 13,062 subscribers29 August 2026 — 13,307 subscribers30 August 2026 — 13,503 subscribers31 August 2026 — 13,618 subscribers1 September 2026 — 13,812 subscribers2 September 2026 — 14,003 subscribers3 September 2026 — 14,345 subscribers5 September 2026 — 14,935 subscribers8 September 2026 — 15,663 subscribers11 September 2026 — 16,462 subscribers13 September 2026 — 17,031 subscribers15 September 2026 — 17,565 subscribers16 September 2026 — 18,147 subscribers19 September 2026 — 18,776 subscribers25 September 2026 — 20,704 subscribers4 October 2026 — 23,095 subscribers7 August 20264 October 2026
30 measurements spanning 58 days, net +14,355. 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 6,587–25,248 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
4 Oct 2026, 10:4123,095+2,391
25 Sept 2026, 22:5920,704+1,928
19 Sept 2026, 06:5718,776+629
16 Sept 2026, 20:1518,147+582
15 Sept 2026, 00:2117,565+534
13 Sept 2026, 06:5917,031+569
11 Sept 2026, 11:1516,462+799
8 Sept 2026, 15:3615,663+728
5 Sept 2026, 08:1914,935+590
3 Sept 2026, 12:0214,345+342
2 Sept 2026, 07:2414,003+191
1 Sept 2026, 07:3713,812+194
31 Aug 2026, 04:5713,618+115
30 Aug 2026, 07:5413,503+196
29 Aug 2026, 10:4613,307+245
28 Aug 2026, 11:0413,062+246
27 Aug 2026, 10:5412,816+190
26 Aug 2026, 14:0312,626+360
25 Aug 2026, 11:1212,266+265
24 Aug 2026, 12:0912,001first reading

Engagement

92 posts held, back to 7 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 47 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.335%
avg views ÷ 23,095 subscribers
Avg views / post
77.3
9 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
9
of 92 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 2 of 9 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 5 October 2026
Posts held92 (7 August 2026 – 5 October 2026)
Views total696
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Oct 2026, 01:42 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
≈4,010
Videos
≈1,280
Links
≈563

Lifetime counters from Telegram’s own channel header, read 6 October 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
7m 40s
Average length
6s

Measured directly from 76 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

42 reactions across 31 posts, in 5 distinct kinds. The most used accounts for 40.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1740.5%
👏1023.8%
🔥614.3%
🥰511.9%
👍49.52%

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 36 of the 92 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 42 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 92 most recent posts we hold, published 7 August 2026 to 5 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

5 Oct 2026, 10:49 UTC115 views0 reactionsread 6 October 2026
Photo

#深圳包夜 #深圳大圈 #深圳外围 #深圳上门 ✈️✈️✈️✈️ ⚡️⚡️⚡️⚡️ ✅新人必看 🫠原价3000/次60分钟 📍#深圳 #纯欲 #福田区 🔤 :客服:@qq166 🤖 :双向联系:@qq18866_Bot sz368 • 艺名心心,经常会喷💦,看你表现 • 𝐇𝐞𝐢𝐠𝐡𝐭身高/170 • 𝐖𝐞𝐢𝐠𝐡𝐭体重/95 • 𝐁𝐮𝐬𝐭胸围/C • 𝐀𝐠𝐞年龄/05 • 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐭𝐲/肤白 无纹身 • 𝐇𝐨𝐛𝐛𝐲兴趣/看书/旅游 健身🏋️‍♀️ 身材比例超好,高颜值,上下三粉, 待课温柔且主动,高情商会聊天, 开朗爱笑,不催不事, 服务好,见必玺 🉑🐍吻🉑69,陪浴🛀 禁止🚫假照,禁止🚫AI,禁止🚫换脸

5 Oct 2026, 10:49 UTC79 viewsread 6 October 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8544153846

5 Oct 2026, 10:49 UTC79 viewsread 6 October 2026
Photo

#深圳包夜 #深圳大圈 #深圳外围 #深圳上门 ✈️✈️✈️✈️ ⚡️⚡️⚡️⚡️ ✅新人必看 🫠原价3000/次60分钟 📍#深圳 #御姐 #南山区 🔤 :客服:@qq166 🤖 :双向联系:@qq18866_Bot sz369 深南国伊人🦄深圳克拉拉,消费降级,5的质量开3,超级大蜜178f,28岁,纯天然f罩杯,超级骚,口活天花板,屁股全自动,各种丝袜情趣,御姐大蜜款包洗

5 Oct 2026, 10:49 UTC59 viewsread 6 October 2026
Photo

#深圳包夜 #深圳大圈 #深圳外围 #深圳上门 ✈️✈️✈️✈️ ⚡️⚡️⚡️⚡️ ✅新人必看 🫠原价3000/次60分钟 📍#深圳 #御姐 #南山区 🔤 :客服:@qq166 🤖 :双向联系:@qq18866_Bot sz370 蜜桃臀水蛇腰/173/胸围D,皮肤雪白无暇,叫声酥麻,让人欲罢不能,身体柔软,各种姿势配合到位 长腿细腰 外纯内骚 主动热情 耐心不催 五星好评选手 🉑️69🉑️舍吻

5 Oct 2026, 10:49 UTC57 viewsread 6 October 2026
Photo

#深圳包夜 #深圳大圈 #深圳外围 #深圳上门 ✈️✈️✈️✈️ ⚡️⚡️⚡️⚡️ ✅新人必看 🫠原价3000/次60分钟 📍#深圳 #小纯 #福田区 🔤 :客服:@qq166 🤖 :双向联系:@qq18866_Bot sz371 2008年18岁微微婴儿肥极品🏠3外5 北体在校大学生放假兼职短开 手慢🈚️全部真照 大吉大利 见面可查验生日 偏财运极旺 生日特殊 让老板发财 股票大涨 生意顺利 北体在校大学生放假兼职短开 手慢🈚️全部真照 有纹身有纹身有纹身❕💔💔💔叛逆少女 主打素颜见K 胶原蛋白满满水嫩刚刚成年 身高174体重105 🐻天然D挺拔圆润 (资料真实没任何虚假成分) 可查验港澳通行证、身份证 真实08年!! 全部真照所见即所得 北京体育学院射箭专业 淡颜系天菜 白小纯皮肤白皙 五官立体 有港澳通行证🉑伴游🉑去香港 🉑6️⃣9️⃣ 🐍💋 🈲登记代开 刚刚成年谨慎行事

4 Oct 2026, 10:09 UTC102 views0 reactionsread 5 October 2026
Photo

#深圳包夜 #深圳大圈 #深圳外围 #深圳上门 ✈️✈️✈️✈️ ⚡️⚡️⚡️⚡️ ✅新人必看 🫠原价3000/次60分钟 📍#深圳 #纯欲 #福田区 🔤 :客服:@qq166 🤖 :双向联系:@qq18866_Bot sz367 Age年龄/02 Height身高/171 Weight体重/50kg Bust罩杯/D 短期兼职 妈生脸全身无整 •身体柔软可解锁任意姿势 听指挥可调教 • 无风尘味 天生自带体香 声音甜美 • 无纹身 皮肤白滑 所见即所得 可调教 • 温柔听话 不催不事 待客温柔如男友 • 🥢🦵🏻A4腰 前凸后翘 女友式体验

4 Oct 2026, 10:09 UTC88 viewsread 5 October 2026
Photo

#深圳包夜 #深圳大圈 #深圳外围 #深圳上门 ✈️✈️✈️✈️ ⚡️⚡️⚡️⚡️ ✅新人必看 🫠原价3000/次60分钟 📍#深圳 #纯欲 #南山区 🔤 :客服:@qq166 🤖 :双向联系:@qq18866_Bot sz366 • 03年微胖纯御 • 身高/170 • 体重/ 49KG • 胸围/ E • 职业/自媒体博主 • 特长/彩画🎨服装设计 摄影📹 • 兴趣/健身🏋🏻 高尔夫️🏌 冲浪🏄‍♀️ 腰细 蜜桃臀🍑 前凸后翘 大方主动 热情奔放 不事不催性格好 期待GG的调教 资料真实真人真照禁🐱

4 Oct 2026, 10:09 UTC47 viewsread 5 October 2026
Photo

#深圳包夜 #深圳大圈 #深圳外围 #深圳上门 ✈️✈️✈️✈️ ⚡️⚡️⚡️⚡️ ✅新人必看 🫠原价3000/次60分钟 📍#深圳 #小纯 #福田区 🔤 :客服:@qq166 🤖 :双向联系:@qq18866_Bot sz365 SZ小艺164学生短期兼职🦜质量③起开天然E 水滴🐻

4 Oct 2026, 10:08 UTC70 viewsread 5 October 2026
Photo

#深圳包夜 #深圳大圈 #深圳外围 #深圳上门 ✈️✈️✈️✈️ ⚡️⚡️⚡️⚡️ ✅新人必看 🫠原价3000/次60分钟 📍#深圳 #纯欲 #福田区 🔤 :客服:@qq166 🤖 :双向联系:@qq18866_Bot sz364 sz皮肤雪白 洋气 可爱初恋女友feel • 上下粉嫩 紧致水润 • 超温柔 不催不事 乖巧听话 性格开朗 •04年170 清纯甜美 •纯邻家女孩

2 Sept 2026, 11:48 UTC69 viewsread 2 September 2026
Photo

#深圳外围 #深圳大圈 ✈️✈️✈️✈️ ⚡️⚡️⚡️⚡️ ✅新人必看 🫠原价3000/次60分钟 📍#深圳 #小纯 #南山区 🔤 :客服:@qq166 🤖 :双向联系:@qq18866_Bot sz232 Height身高/173 Weight体重/98 Bust胸围/真胸 c 南方姑娘 初恋白月光 极品校园女友体验 清纯可人 温柔甜美 天然无整 无纹身 高情商在线!!!

2 Sept 2026, 11:48 UTC67 viewsread 2 September 2026
Photo

#深圳外围 #深圳大圈 ✈️✈️✈️✈️ ⚡️⚡️⚡️⚡️ ✅新人必看 🫠原价3000/次60分钟 📍#深圳 #纯欲 #南山区 🔤 :客服:@qq166 🤖 :双向联系:@qq18866_Bot sz231 Height 身高/172 . Weight 体重/95 . Bust 胸围/ E · Age 年龄/05 身材柔细 皮肤雪白 可纯可欲 有些许纹身 三点粉 骨感美S小蛮腰 翘臀 清纯 五官精致 洋气 🎀听话 懂事 高情商 只接待素质k

2 Sept 2026, 11:47 UTC58 viewsread 2 September 2026
Photo

#深圳外围 #深圳大圈 ✈️✈️✈️✈️ ⚡️⚡️⚡️⚡️ ✅新人必看 🫠原价3000/次60分钟 📍#深圳 #纯欲 #福田区 🔤 :客服:@qq166 🤖 :双向联系:@qq18866_Bot sz230 甜甜圈🍩🏠口活天花板,168.E。25.湖南人善舞蹈,会钢管舞🦜质量开3 69,蛇吻,制服,丝袜,,口爆,颜射,车震,双飞 。 天然0整,敏感体质,一碰出水,上下粉嫩,浑身雪白,全能🉑69🉑🐍💋 不WT不YT 🉑接不露脸录像十1.3不露脸照➕1K 项目部分另加💰

Showing the 12 most recent of 92 posts we hold for @Kongjiemiyu. 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.

Mentions

Named by 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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.

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 4 October 2026 — this entry's latest reading, not the date you are reading this.

“深圳永利高端大圈” (@Kongjiemiyu), 23,095 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/Kongjiemiyu.

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.