#雨欣 #在厦 #已验 #5米 #服务系 #少妇 #乌石浦附近 165/D/52 天然大D🐻🔥妇‼️会所一条🐲服务🤔🉑️🐍🉑️👅除🈚️☔️和后花园外百无禁忌❤️温柔耐心👌配合度高👍 👩🏫凯撒宫报告模版 电报:@yx1618 频道: t.me/xmyouy
❤4

Channel
@XMCJGK8888
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
15,982subscribers
+611 since we began measuring on 19 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003853752775 |
|---|---|
| Type | Channel |
| Username | @XMCJGK8888 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 19 August 2026 |
| Last confirmed live | 11 September 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 11 September 2026 |
| On Telegram | t.me/XMCJGK8888 |
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 89% 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 |
|---|---|---|
| 11 Sept 2026, 07:01 | 15,982 | +92 |
| 8 Sept 2026, 08:37 | 15,890 | +82 |
| 5 Sept 2026, 00:57 | 15,808 | +59 |
| 3 Sept 2026, 09:43 | 15,749 | +39 |
| 2 Sept 2026, 02:48 | 15,710 | +26 |
| 1 Sept 2026, 05:26 | 15,684 | +31 |
| 31 Aug 2026, 04:55 | 15,653 | +20 |
| 30 Aug 2026, 05:37 | 15,633 | +28 |
| 29 Aug 2026, 07:18 | 15,605 | +18 |
| 28 Aug 2026, 09:28 | 15,587 | +51 |
| 27 Aug 2026, 06:33 | 15,536 | +23 |
| 26 Aug 2026, 08:03 | 15,513 | +43 |
| 24 Aug 2026, 05:34 | 15,470 | +37 |
| 22 Aug 2026, 12:44 | 15,433 | +25 |
| 21 Aug 2026, 02:52 | 15,408 | +19 |
| 20 Aug 2026, 05:17 | 15,389 | +18 |
| 19 Aug 2026, 11:15 | 15,371 | no change |
| 19 Aug 2026, 11:00 | 15,371 | first reading |
11 posts held, back to 14 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 28 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.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 11 (14 August 2026 – 3 September 2026) |
| Views total | 72,020 |
| Reactions total | 79 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:17 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.
Measured directly from 10 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.
79 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 94.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 75 | 94.9% | |
| 😁 | 2 | 2.53% | |
| 👏 | 1 | 1.27% | |
| 🥰 | 1 | 1.27% |
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 11 of the 11 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 79 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 14 August 2026 to 3 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.
#雨欣 #在厦 #已验 #5米 #服务系 #少妇 #乌石浦附近 165/D/52 天然大D🐻🔥妇‼️会所一条🐲服务🤔🉑️🐍🉑️👅除🈚️☔️和后花园外百无禁忌❤️温柔耐心👌配合度高👍 👩🏫凯撒宫报告模版 电报:@yx1618 频道: t.me/xmyouy
❤4
#小松兔 🐰 #在厦 #已验 #7米 #颜值系 #五缘湾钟宅附近 159/D/45 深圳来的2⃣️0⃣️岁大D🐻高盐嫩妹‼️不🐍不👅小只🐎童颜巨乳萝莉音🥰🔟🔪7⃣️右手🌹臂蠢萌型不会精神😆介意请绕道✌️ 电报:@tu2264 频道:https://t.me/tu2662
❤2
#英子 (海沧) #在厦 #已验 #4米 #服务系 #御姐 #海沧新阳工业区 160/C/45 恭喜海沧区又添一员🐯将✌️🉑️🐍🉑️👅会所一条🐲🍱4⃣️全6⃣️主打性价比👌 电报:@yz2024998 频道:https://t.me/Hddjjdjdjhrefd
#骚琳 #在厦 #已验 #5米 #颜值➕服务系 #御姐 #思明区SM附近 162/C/53 气质御姐极度骚🌊🉑️🐍🉑️👅会所一条🐲性价比之选✌️ 电报:@linlin9487i 频道:https://t.me/linlin9875
#梅沫 #在厦 #已验 #4米 #服务系 #少妇 #天成花园 163/D/55 大D🐻服务系🔥妇‼️🉑️🐍🉑️👅主打深井毒🐲钻🥰良家素人即视感👓一戴😙谁都不爱✌️ 电报:@meimomoxm 频道:https://t.me/meimomoxm520/12
❤6
#初一92⛽️ #在厦 #已验 #3米 #颜值系 #御姐 #五缘湾乐购附近 162/C/45 居家御姐下海首秀‼️神似杨幂😍目前只能接受92打✈️🉑️💋不👅看怎么调教咯😂 电报:@chuyi_o 频道:https://t.me/enxiachuyi
❤13
#诗琪 #在厦 #待验 #6米 #颜值系 #少女 #湖里万达附近 163/C/45 顶级高盐嫩妹‼️萌萌可爱萝莉音🥰🉑️🐍🉑️👅肤白省❄️诺基亚权威鉴定⬇️⬇️⬇️ 电报:@Linshiqi228 频道:https://t.me/Lsq58869
❤10
#抓龙筋SPA小雨 #在厦 #已验 #5米 #服务系 #御姐 #湖里万达附近 165/C/53 会所🎓大师姐‼️手脚并用🌊潮艺人😂主打耐心服务和抓🐲筋技术👌足⏰足量🥰 👩🏫凯撒宫报告模版 电报:@xmxiaoyu 频道:https://t.me/+8KK0kalEBQgxZmJl
❤12
#甜宝水床 #在厦 #已验 #5米 #服务系 #少妇 #钟宅附近 165/D/52 水🛏️服务系小🌊妇‼️颜值普通🤔天然大D🐻宛若☁️包裹🥰环境设备加分✌️ 👩🏫凯撒宫报告模版 电报:@LukeKe666 频道:https://t.me/wewepppp
❤10
#柒柒 #在厦 #已验 #4米 #颜值系 #少女 #前埔国贸新城附近 160/B/44 😍超级小只🐎‼️🚄🍱火车便当最佳选择💪完美人型壶铃❤️冲鸭‼️ 👩🏫凯撒宫报告模版 电报:@q960327 频道:https://t.me/h960327
❤8👏1🥰1
#九亿 #在厦 #已验 #8米 #颜值系 #少女 #SM附近 165/C/47 0⃣️2⃣️年川渝🦖九亿又回来吸💰啦‼️嗨丝美🦶女战士🪖百年难得一遇✌️ 电报:@NAN2002300 频道:https://t.me/NAN200230
❤10😁2
Showing the 11 most recent of 11 posts we hold for @XMCJGK8888. 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 11 September 2026 — this entry's latest reading, not the date you are reading this.
“【厦门凯撒宫公开版】🏅零门槛🏅真评论🏅无假照🏅无中介🏅可面退” (@XMCJGK8888), 15,982 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/XMCJGK8888.
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.