艺名: #E宝 段位: #辅导员(青铜) 地点: #成华区二仙桥 编号: #JMCD1447 老师巨乳E,有乳交,有🐍,要抽烟,无纹身,颜值耐看,属于丰满bbw类型少妇服务车,适合喜欢巨乳、bbw、服务的狼友。 车架:26/164/105/E 车费:6p 9pp 车牌: @Ebao361143 机器人: @hsdhhabot 标签: #御姐 #颜值 #巨乳 #可爱 成都交流群: @jmnu028m_a
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Channel
@jmnu028m
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
14,282subscribers
+105 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003267256462 |
|---|---|
| Type | Channel |
| Username | @jmnu028m |
| Created | Between 1 October 2025 and 31 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/jmnu028m |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 19:16 | 14,282 | +8 |
| 16 Aug 2026, 15:44 | 14,274 | +33 |
| 15 Aug 2026, 01:02 | 14,241 | +19 |
| 13 Aug 2026, 13:48 | 14,222 | +7 |
| 12 Aug 2026, 12:43 | 14,215 | +15 |
| 11 Aug 2026, 12:13 | 14,200 | +18 |
| 10 Aug 2026, 09:26 | 14,182 | +5 |
| 10 Aug 2026, 06:01 | 14,177 | first reading |
10 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 10 pagesof 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 16 August 2026 |
|---|---|
| Posts held | 10 (7 August 2026 – 16 August 2026) |
| Views total | 15,016 |
| Reactions total | 66 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 17 Aug 2026, 18:57 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 5 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.
66 reactions across 10 posts, in 12 distinct kinds. The most used accounts for 33.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 22 | 33.3% | |
| 🥰 | 9 | 13.6% | |
| 👍 | 8 | 12.1% | |
| 🔥 | 8 | 12.1% | |
| 🎉 | 5 | 7.58% | |
| 🍓 | 3 | 4.55% | |
| 🍾 | 3 | 4.55% | |
| 🍌 | 2 | 3.03% | |
| 🐳 | 2 | 3.03% | |
| 👏 | 2 | 3.03% | |
| 🌭 | 1 | 1.52% | |
| 💋 | 1 | 1.52% |
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 10 of the 10 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 66reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 7 August 2026 to 16 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.
艺名: #E宝 段位: #辅导员(青铜) 地点: #成华区二仙桥 编号: #JMCD1447 老师巨乳E,有乳交,有🐍,要抽烟,无纹身,颜值耐看,属于丰满bbw类型少妇服务车,适合喜欢巨乳、bbw、服务的狼友。 车架:26/164/105/E 车费:6p 9pp 车牌: @Ebao361143 机器人: @hsdhhabot 标签: #御姐 #颜值 #巨乳 #可爱 成都交流群: @jmnu028m_a
🔥3❤2🎉1👏1
😀😀😀😀 ㊙️ 成都本地实体老店,安全隐私,卫生干净 每日执行一客一消毒 ✅ 项目:高端SPA、实体丝足、高颜技师 特色项目 纯到店满意消费,无任何套路 92十八项 都有 只多不少😂 📍 地址:成都锦江区58神奇空间 🕒 营业时间:13:00 - 凌晨 02:00 提前预约 不跑🈳 #成都SPA #成都会所 #成都按摩 #成都锦江 ———————————— 👥聊天群组: @chengdu_666 🗣️选妃频道: @chengdu_888 💬在线客服: @SPA1994000 🤖私信限制: @SPA8888mcbot 😎微信联系:Y770412250 ☎️联系电话:16608107162
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艺名: #周于希 段位: #辅导员(青铜) 地点: #成华区昭觉寺 编号: #JMCD1446 妹妹皮肤超级光滑,肤白,奶挺柔软,穴紧这几方面算是快到千人斩的本君也少见排前茅的。 喜欢嫩妹,身材控,肤控,穴紧的值得一试。 车架:26/168/100/C 车费:8p 14pp 车牌: @zhouyuxisl 机器人: @zhouyuxisally_bot 标签: #御姐 #颜值 #风骚 #可爱 成都交流群: @jmnu028m_a
❤3🎉3🍓2👍1
艺名: #小七 段位: #辅导员(青铜) 地点: #高新区 编号: #JMCD1445 妹妹皮肤超级光滑,肤白,奶挺柔软,穴紧这几方面算是快到千人斩的本君也少见排前茅的。 喜欢嫩妹,身材控,肤控,穴紧的值得一试。 车架:24/162/92/B+ 车费:5p 8pp 车牌: @Xiaoqi1257890 机器人: @xiaoqi1267890bot 标签: #女友 #甜美 #白皙 #颜值 成都交流群: @jmnu028m_a
❤1🌭1🎉1👍1💋1🥰1
艺名: #泰妹Zara 段位: #辅导员(青铜) 地点: #成华区 编号: #JMCD1444 东南亚典型菜系,不用出国即可品尝,停留时间有限,作为外国菜,服务车,少妇车的完全可以去学外语 车架:26/156/86/zB+ 车费:5p 9pp 车牌: @CDZara9 机器人: @CDZara99bot 标签: #御姐 #异域 #兼职 #颜值 成都交流群: @jmnu028m_a
❤2👍1🔥1
艺名: #莉娅 段位: #辅导员(青铜) 地点: #成华区昭觉寺 编号: #JMCD1443 典型的新疆妹妹,而且身上也没什么膻味。身材很好,细支硕果名不虚传,皮肤也很白,屁股有欧美人的感觉,后入顶起来像波浪一样。嫩妹也尽量满足你的服务,课表上基本都有,适合喜欢异域风情的服务控。 车架:21/1176/98/C 车费:8p 13pp 车牌: @Aria_7 机器人: 标签: #少御 #异域 #长发 #颜值 成都交流群: @jmnu028m_a
❤6👍1🥰1
艺名: #星洛 段位: #辅导员(青铜) 地点: #武侯区 编号: #JMCD1442 瑜伽老师兼职,360度旋转倒立吹箫,腰部毫无赘肉的健美身材优于大多数同龄人,核心力量也相当优秀。 车架:26/163/92/C 车费:6p 9pp 车牌: @xingluo666888999 机器人: @xingluo666bot 标签: #御姐 #瑜伽 #兼职 #一字马 成都交流群: @jmnu028m_a
👍2🥰2❤1🔥1
艺名: #栀子 段位: #辅导员(青铜) 地点: #大源 编号: #JMCD1441 19岁乖妹,频道不露脸,颜值一般,身材微胖,人挺好玩的,情绪给到位,做的时候比较会夹,很听话。 车架:07/170/110/B+ 车费:7p 13pp 车牌: @gyyshh558 机器人: @ddppdd00_bot 标签: #嫩妹 #高挑 #上门 #伴游 成都交流群: @jmnu028m_a
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艺名: #娅楠 娅熙(御姐双飞) 段位: #辅导员(青铜) 地点: #青羊区 编号: #JMCD1440 两位老师人照8.5,亚楠小御姐类型,长相可爱乖巧、身材高挑、胸部柔软,皮肤白嫩爽滑,水多逼紧,敏感点较多,易喷水,性格好,情绪价值高。亚熙大御姐类型,骚气十足,技术好,服务棒,情绪价值较高,两人配合非常默契,双重享受,直接起飞,适合喜欢服务、情绪价值类型狼友体验。 车架:25/162/90/B+ 车费:6p 10pp 双15pp 车牌: @Yananbbe @yaxilevo 机器人: 标签: #御姐 #双飞 #少妇 #颜值 成都交流群: @jmnu028m_a
❤2🍌2👍1🥰1
艺名: #丝丝(童颜巨乳) 段位: #辅导员(青铜) 地点: #高新区红树湾 编号: #JMCD1439 人照8分,颜值耐看、身材还可以,腿型好看的少妇型老师,比较骚放的开,除了有点小肚子、抽烟其他还可以,适合喜欢服务、喜欢腿,喜欢骚的兄弟 车架:165/95/E 车费:6p 9pp 车牌: @sisi13150 机器人: 标签: #童颜 #巨乳 #骚气 #敏感 成都交流群: @jmnu028m_a
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Showing the 10 most recent of 10 posts we hold for @jmnu028m. 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.
Citation-graph rank — 443,320 of 1,481,306entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Named by 2 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.
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.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“【集美师范大学】成都校区” (@jmnu028m), 14,282 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/jmnu028m.
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.