🍏艺名: 灵玥 🥇段位: #辅导员 白银 📍地点: #武侯区 天府三街 ✅编号: #JMCD1470 情绪价值拉满,女友感拉满,身材颜值都不错,蝴蝶穴非常紧。情绪价值拉满,大大蟒蛇,胸型很好,浴室环节很棒 😳特色:04年重庆妹妹手感好 小骨架 😳注意:禁止醉酒 桩机嗑药拔套 💎车架:23/160/41kg 🪙车费:800P/1500pp ✈️车牌: @Lingyue555 🤖机器人:@Lingyueyue2121bot #️⃣标签: #少御 #情趣 #态度车 #女友感 成都交流群:@jmnu028m_a

Channel
【集美师范大学】成都校区
@jmnu028m
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Cite this entry
14,941subscribers
+764 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003267256462 |
|---|---|
| Type | Channel |
| Username | @jmnu028m |
| Description | 【集美师大】校训:发现美,集中美,传播美。 玩法新颖,机制健全,范围最广的全国性老师学生交流平台。 🤖上榜联系&提交报告 : @OV411 @CDJiMei 【成都校区个人榜】: @JMNU028m 【成都校区交流群】: @JMNU028m_a 【成都校区报告榜】: @jmnu028m_b |
| 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 | 7 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/jmnu028m |
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 58% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 15:57 | 14,941 | +10 |
| 6 Nov 2026, 14:56 | 14,931 | +8 |
| 5 Nov 2026, 17:59 | 14,923 | +24 |
| 4 Nov 2026, 18:29 | 14,899 | +13 |
| 3 Nov 2026, 19:58 | 14,886 | +32 |
| 2 Nov 2026, 22:16 | 14,854 | +59 |
| 1 Nov 2026, 23:35 | 14,795 | +76 |
| 1 Nov 2026, 00:36 | 14,719 | +62 |
| 31 Oct 2026, 03:04 | 14,657 | +73 |
| 30 Oct 2026, 05:27 | 14,584 | +48 |
| 29 Oct 2026, 04:21 | 14,536 | +45 |
| 28 Oct 2026, 03:35 | 14,491 | +66 |
| 27 Oct 2026, 04:59 | 14,425 | +45 |
| 26 Oct 2026, 05:21 | 14,380 | +45 |
| 25 Oct 2026, 05:19 | 14,335 | +1 |
| 24 Oct 2026, 04:36 | 14,334 | +1 |
| 23 Oct 2026, 07:00 | 14,333 | -6 |
| 22 Oct 2026, 08:48 | 14,339 | -8 |
| 21 Oct 2026, 00:40 | 14,347 | +21 |
| 20 Oct 2026, 00:05 | 14,326 | first reading |
Engagement
33 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 51 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.36%
- avg views ÷ 14,941 subscribers
- Avg views / post
- 1,250
- 14 posts measured
- Reaction rate
- 0.239%
- reactions ÷ views · ER floor
- Posts in window
- 14
- of 33 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 11 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 33 (7 August 2026 – 8 November 2026) |
| Views total | 17,477 |
| Reactions total | 37 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 06:55 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
- ≈3,170
- Videos
- ≈546
- Links
- ≈251
Lifetime counters from Telegram’s own channel header, read 8 November 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
- 1m 31s
- Average length
- 8s
Measured directly from 12 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
154 reactions across 26 posts, in 14 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 77 | 50.0% | |
| 👍 | 16 | 10.4% | |
| 🥰 | 14 | 9.09% | |
| 🔥 | 12 | 7.79% | |
| 🎉 | 10 | 6.49% | |
| 👏 | 6 | 3.90% | |
| 🍓 | 4 | 2.60% | |
| 👎 | 4 | 2.60% | |
| 🍾 | 3 | 1.95% | |
| 🐳 | 3 | 1.95% | |
| 🍌 | 2 | 1.30% | |
| ⚡ | 1 | 0.649% | |
| 🌭 | 1 | 0.649% | |
| 💋 | 1 | 0.649% |
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 28 of the 33 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 154 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 7 August 2026 to 8 November 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
Telegram’s own ‘edited’ marker: 3 of 14 posts held from the last 30 days (21.4%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🍏艺名: 若兰 (御姐) 🥇段位: #辅导员 白银 📍地点: #武侯区 桐梓林 ✅编号: #JMCD1469 鸳鸯戏水|水中暧昧|激情调情|水下互动|黑丝诱惑|丝袜美学|指尖挑逗|69互动|AB面视角|瑜伽裤魅力|横叉竖叉|一字马展示|情趣内衣|制服诱惑|角色扮演|性感热舞|双人激情|视觉盛宴。 😳特色:魔鬼身材 紧致如处 小细腰蜜桃臀主动热情 高度配合 身材控 😳注意:不无T 不三通 不闲聊 不机车 不视频 AA必须戴T 醉酒🍺 嗑药💊不接 💎车架:23/161/45kg 🪙车费:600P/1000pp ✈️车牌: @Ruolan5200 🤖机器人:@ruolanzs_bot #️⃣标签: #御姐 #身材控 #大蟒蛇 #武侯 成都交流群:@jmnu028m_a
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_8153221535
🌹 人与人之间,讲究的是缘分;人与平台之间,讲究的也是相互成就。 有些风景,站在远处看,或许觉得平平无奇;有些机会,拥有的时候不懂珍惜,真正错过之后,才会发现曾经的相遇并不是理所当然。 一路走来,我们见过形形色色的人,也经历过不同的选择。 有人来,有人走;有人驻足观望,也有人始终并肩同行。 对此,我们始终尊重每个人的选择。不强求、不挽留,也不必过多解释。 ━━━━━━━━━━━━━━ 时间会筛选选择,行动会证明态度,实力终究会体现价值。 一个平台真正值得珍惜的,从来不是一时的热闹,而是那些无论环境如何变化,依然愿意相信、支持、陪伴并共同成长的人。 ❤️ 在这里,特别感谢那些从始至终没有放弃过集美、一直给予支持和信任的朋友。 你们的每一份坚持、每一次配合、每一份认可,我们都看在眼里,也记在心里。 因为真正珍贵的,从来不是一时的相遇,而是长久的信任与陪伴。 ━━━━━━━━━━━━━━ 至于那些曾经相遇又选择离开的人,也祝各自安好。…
🍏艺名: 于晚晚(G罩杯) 🥇段位: #辅导员 白银 📍地点: #锦江区 人民南路 ✅编号: #JMCD1468 🌟校长推荐🥳🥳🥳🥳🥳 口暴 毒🐲 深🐒 过水 漫游 口痧 拔罐 胸推 臀推 添脚 舌尖漫游 吃香蕉 添蛋 丝袜 情趣 调情 简单艳舞,人骚活好肯,角色扮演,各种角色。 😳特色:大G罩杯 口爆 😳注意:由于个人原因没有69kiss 💎车架:22/160/45kg 🪙车费:800P/1300pp ✈️车牌: @yuwanwan5201314520 🤖机器人:@yuwanwan_bot #️⃣标签: #大奶 #G罩杯 #角色扮演 #口爆 成都交流群:@jmnu028m_a
❤2
⭐️发现美,集中美,传播美 ——😀成都集美😀 ★分类导航★ ★区域导航★ 《春风得意马蹄疾,一日看尽成都花》⭐️
❤2
😌成都会所诚信经营-✅-十年老店。 口爆会所-全套会所-自助半全套 #少妇 #萝莉 #御姐 #丝袜 #制服#00后 #海选 #无套射嘴里 #毒龙 #艳舞 #免费泡澡 #成都会所高级营销 #双流 #武侯 #青羊 #天府 #金牛#郫都 #郫县 #成华 #新都 #华阳 半套全套不办卡,无套路 📱📱📱📱😀😃😀😃 妹儿巴士,欢迎各位兄弟咨询! #半套 #全套 #会所 #口爆 ⭐️双向机器人 @FD3111BOT ⭐️永不失联TG @ZengXiaoXiao (曾小小) ⭐️永久唯一TG号 @koubaohuisuo(口爆会所) 永不失联账号具有全球唯一性 永不失联随时可找到我 ⭐️认准-口爆会所-曾小小
❤4🔥1
💭 成都集美群聊重要通知|账号清理公告 各位群友请注意! 为进一步维护群内良好的交流环境,保障群成员权益,营造健康、有序的群聊生态,管理团队将于今日起正式开展群成员专项清理行动。 本次重点清理以下类型账号: 🥳长期不活跃的僵尸号 🥳 发布广告、刷屏的营销号 🥳 涉嫌诈骗及违规账号 🥳 恶意引流、私下骚扰的账号 🥳 其他影响群内正常交流秩序的账号 📢 特别提醒: 由于本次清理涉及批量筛查及删除操作,过程中可能出现误判、误删或误封的情况。 如果不小心将正常群友或已认证老师误封,请不要着急,也无需担心。 请及时联系管理 @OV411 核实情况,申请解除封禁。 管理团队会认真核实每一位申诉成员的情况,及时处理误封问题。 感谢各位狼友及认证老师的理解与配合! 净化群聊环境,从每一次规范管理开始。
❤4
🍏艺名: 花花抓龙筋 🥇段位: #辅导员 白银 📍地点: #成华区 招商花园2期附近 ✅编号: #JMCD1467 颜值嫩妹,身材好,皮肤白,邻家小妹,情绪价值,手法专业,服务意识强,温柔。 😳特色: 多个小项选择,#正宗泰国抓龙筋 😳注意:无口,无啪(专业不对口,勿扰,谢谢啦) 💎车架:25/160/46kg 🪙车费:398 598 898 ✈️车牌: @cdzlj6 暗号拿工兵 🤖机器人:@cdzlj1688Bot #️⃣标签: #三起三落 #前列腺高潮 #男士潮喷 #冰火两重天 成都交流群:@jmnu028m_a
❤3
📱成都集美频道 · 工兵招募令 🎉成都集美,现面向全网招募工兵! 一个人的力量有限,一群人的力量才能把事情做大。 现因频道发展需要,正式开启工兵招募计划,诚邀有热情、有执行力、愿意长期参与的兄弟姐妹加入! 招募要求: 🍏活跃在线,有时间参与频道互动 🍏有责任心,执行力强 🍏服从团队安排,积极配合 🍏有团队意识,懂得互相支持 🍏长期主义,拒绝三分钟热度 工兵主要职责: 💎协助频道日常运营 💎参与内容互动与推广 💎维护频道氛围与秩序 💎协助活动组织及其他团队事务 我们寻找的不是围观者,而是真正愿意参与建设的伙伴! 📥有意加入的朋友请私信频道管理 @ov411 备注:申请工兵 + 自我介绍 🤝 成都集美,期待你的加入! 一起建设,一起成长。
❤4
🍏艺名: 小小酥 🔞段位: #辅导员 白银 📍地点: 锦江区(流星花园) ✅编号: #JMCD1466 颜值嫩妹,身材苗条,皮肤较白,光滑细腻,爱爱投入 女友感很强,听话。 😳特色: 19岁Jk嫩妹 大蟒蛇 😳绝技:无 ⚽️车架:19/157/80 🪙车费:600p/1000pp ✈️车牌: @sususmile8 🤖机器人:@susu8932bot #️⃣标签: #Jk #萝莉 #嫩妹 #逼浅
❤3🥰1
🍏艺名: 柳飘飘 🔞段位: #辅导员 白银 📍地点: 成都武侯区(高新地铁站附近) ✅编号: #JMCD1465 净高167、整体身材均匀,大长腿身材好,骨架稍微有点大,欧美巨臀、臀围115,基本上没有赘肉,略微有点小肚,身上比较紧实,皮肤光滑白嫩,天然胸C,乳晕都比较小,乳头粉,黑森林毛发较多。 😳特色: 欧美巨臀《臀围115 》成都.卡戴珊 😳绝技: 《臀推一绝》 臀推让你🈶️五套啪啪啪的感觉!! ⚽️车架:29/167/120 🪙车费:600p/1000pp ✈️车牌: @liupiaopiaoya 🤖机器人:@liupiaopiaoya_bot #️⃣标签: #御姐 #欧美巨臀 #臀控 #服务控 #丝足
❤5👎4👍2
Showing the 12 most recent of 33 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.
Posts edited after publishing
@jmnu028m edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 6 November 2026
- Most recent edit
- 6 November 2026
Posts recorded as deleted after publishing
We recorded 1 post on @jmnu028m as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 7 November 2026
- Most recent seen missing
- 7 November 2026
- Median time before seen missing
- 4 days
- Seen missing in the last 30 days
- 1
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 5 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.
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“【集美师范大学】成都校区” (@jmnu028m), 14,941 subscribers as measured 7 November 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.