【甜酒】 甜酒老师最近开启了sm模式,更御更骚了,个人很喜欢这种知性➕风骚的反差女老师,同时可以感受到两种不同的体验,心理满足感非常强~ 主动大蟒蛇,谈吐优雅,情绪价值顶满,内心的m属性爆棚~等待你得开发。 视频链接(点赞🈵150放送),点击下方的小❤️❤️图标即可,满150赞立刻放出~ 车牌: @asoftwine 机器人: @iscup_bot #杭州 #颜值 #视频 #sm #甜御
❤77🎉55👍53👏50🤩50🔥49

Channel
@JMNU0571
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
17,087subscribers
+3,122 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002518186838 |
|---|---|
| Type | Channel |
| Username | @JMNU0571 |
| Description | ★校长助理★: @JMNU00_bot ★校长私信★: @JMNU00 ★老师榜单★: @JMNU0571 ★交流中心★: @JMNU0571a 【发现美,集中美,传播美】 收集杭州顶美老师,为广大LY谋福利。 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 66 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/JMNU0571 |
Adult — 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 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 23:55 | 17,087 | +148 |
| 9 Nov 2026, 23:40 | 16,939 | +70 |
| 8 Nov 2026, 15:19 | 16,869 | +64 |
| 7 Nov 2026, 10:17 | 16,805 | +89 |
| 6 Nov 2026, 11:09 | 16,716 | +172 |
| 5 Nov 2026, 11:21 | 16,544 | +12 |
| 4 Nov 2026, 12:25 | 16,532 | +31 |
| 3 Nov 2026, 09:51 | 16,501 | +13 |
| 2 Nov 2026, 12:39 | 16,488 | +26 |
| 1 Nov 2026, 12:58 | 16,462 | +15 |
| 31 Oct 2026, 14:30 | 16,447 | +14 |
| 30 Oct 2026, 13:55 | 16,433 | +16 |
| 29 Oct 2026, 14:16 | 16,417 | +49 |
| 28 Oct 2026, 13:00 | 16,368 | +26 |
| 27 Oct 2026, 15:46 | 16,342 | +18 |
| 26 Oct 2026, 16:39 | 16,324 | +27 |
| 25 Oct 2026, 14:21 | 16,297 | +16 |
| 24 Oct 2026, 17:10 | 16,281 | +48 |
| 23 Oct 2026, 17:44 | 16,233 | +30 |
| 22 Oct 2026, 19:21 | 16,203 | first reading |
81 posts held, back to 4 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 75 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 13 November 2026 |
|---|---|
| Posts held | 81 (4 August 2026 – 13 November 2026) |
| Views total | 55,834 |
| Reactions total | 7,172 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Nov 2026, 05:29 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.
Lifetime counters from Telegram’s own channel header, read 14 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.
Measured directly from 39 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.
26,856 reactions across 81 posts, in 16 distinct kinds. The most used accounts for 19.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5,247 | 19.5% | |
| 🔥 | 5,123 | 19.1% | |
| 🎉 | 5,074 | 18.9% | |
| 👍 | 4,889 | 18.2% | |
| 😁 | 3,869 | 14.4% | |
| 🤩 | 1,145 | 4.26% | |
| 👏 | 1,116 | 4.16% | |
| 🦄 | 78 | 0.29% | |
| 💯 | 69 | 0.257% | |
| 🎄 | 60 | 0.223% | |
| 🐳 | 57 | 0.212% | |
| 🏆 | 45 | 0.168% | |
| ☃ | 36 | 0.134% | |
| 💘 | 19 | 0.071% | |
| 🆒 | 16 | 0.06% | |
| 🤗 | 13 | 0.048% |
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 81 of the 81 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 26,856 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 81 most recent posts we hold, published 4 August 2026 to 13 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.
Telegram’s own ‘edited’ marker: 3 of 25 posts held from the last 30 days (12.0%) 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).
【甜酒】 甜酒老师最近开启了sm模式,更御更骚了,个人很喜欢这种知性➕风骚的反差女老师,同时可以感受到两种不同的体验,心理满足感非常强~ 主动大蟒蛇,谈吐优雅,情绪价值顶满,内心的m属性爆棚~等待你得开发。 视频链接(点赞🈵150放送),点击下方的小❤️❤️图标即可,满150赞立刻放出~ 车牌: @asoftwine 机器人: @iscup_bot #杭州 #颜值 #视频 #sm #甜御
❤77🎉55👍53👏50🤩50🔥49
【一凡】 巨乳潮喷嫩妹~多位狼友好评的bbw嫩妹,潮喷一把好手,杭州乳交天花板,让人窒息的E级大灯~喜巨乳喜潮喷的狼友不要错过~ 今日起【集美师范大学】视频专区改版,不再沿用之前的评论回复获取视频的制度,点赞🈵150直接放送视频链接~(点击帖子下方小星星即可) 车牌: @yifanls @yifanls02 机器人: @yifanhuatong_bot 视频链接(点赞满150开放) #杭州 #巨乳 #潮喷 #嫩妹 #bbw
❤49🤩41🎉37🔥34👍32👏31🏆1💯1
【潼潼】 36D极品嫩妹BBW,BBW中的战斗机~ 在杭州bbw群里口碑非常好,温柔细心的小妹妹,36D,丰乳肥臀,皮肤嫩滑~doi过程非常沉浸,情绪价值丰盈,如果你喜欢bbw,那不要错过,喜瘦狼友勿扰~ 老号炸了,新联系方式如下: 车牌: @TTdidid 机器人: @TTdididBot 频道: @TT7877777 #杭州 #bbw #嫩妹
🎉64🤩60❤59👍54🔥52👏42💘1💯1
艺名: #安沐瑶(女大嫩妹) 段位: #辅导员(青铜) 地点: #西湖区 编号: #JMHZ1283 👥【集美推荐官】:绍兴某长期出击杭州的颜狗狼友,推荐理由:嫩嫩嫩,大学生~ 📢 🅹🅼🅽🆄【校长观察室】 嫩妹,嫩妹,嫩妹,真的嫩 颜值,女大,复刷,宝藏妹 女仆,秘书,教师,多角色 ⭐️ 嘉兴颜狗狼友推荐的颜值嫩妹,真实女大,邻家女孩,女友感爆棚,服饰种类多样,秘书、女仆、洛丽塔、教师样样精通,情绪价值夯级别~硬件也没有话说,非常非常的嫩,想象一下18岁的身体应该什么样,瑶瑶就是什么样,适合你们这些小登中登老登肆意把玩,颜值高且可开发,墙裂推荐pp起刷,性价比高~ 🏷 校长一句话: 远山眉黛长,细柳腰肢袅~ ️ 💎 车架: 162/45/B 🪙 车费: 900/1600 ✈️ 车牌: @iMuMuyo 🤖 频道: @iMuyaobot #嫩妹 #女大 #颜值 #JK #小m 杭州交流群 : @JMNU0571a 【集美师
🔥71❤62👍62🎉55🤩50👏43🎄1🐳1
艺名: #眠眠酱(百万网红可验) 段位: #辅导员(青铜) 地点: #上城区 编号: #JMHZ1282 👥【集美推荐官】:老师自荐,待群友品鉴 📢 🅹🅼🅽🆄【校长观察室】 COS,主播,网红,幼萝莉 细枝,硕果,颜值,一线天 幼齿,萝莉,紧致,情绪高 ✔️ 集美第一次上这么贵的老师,老师也是大⭕的W起老师,尝试一下吧。极品嫩萝,COS专业户,百万网红(线下约课可现场验证),老师承诺,不是本人免费~细枝硕果,45公斤,真D🐻,长腿冷白皮,身体敏感多汁,一线天,硬件顶配。唯一缺点就是价格比较贵,多金的狼友可以测评一番~ 🏷 校长一句话: 远赴人间惊鸿宴,一睹人间盛世颜~ ️ 💎 车架: 165/44.5/D 🪙 车费: 4000/8000 ✈️ 车牌: @mianmianjiang_baby 🤖 频道: @mmjusbot #网红 #约拍 #COS #情绪价值 #萝莉 #一线天 杭州交流群 : @JMNU0571a 【集美师
👏58❤54🔥51🤩50🎉43👍37🎄1🏆1
【景甜】巡回开课老师,就不入集美的老师库了,老师在杭短开些时日就会回深圳,风骚程度满级,特色:乳豪、潮喷、服务、剧情演绎~喜此类老师的可以趁老师在杭州前去一试~ ✈️ 艺名: 景甜 📷 配置: 168/53/F+ 🪙 车费: 1288/2200 ✈️ 车牌: @zhaolusi1314 🤖 机器人: @ZLS131bot #杭州 #巨乳 #潮喷 #巨乳 #服务
❤62👍59🔥54👏47🤩46🎉44🎄1🐳1
【小静】集美宝藏嫩妹系列 集美二期推荐老师之一 刚回归开课,性价比高,颜值扛打,有点符文,但是胜在真的好嫩,性格也优质,灰常的瘦,但是🐻有b够用,喜嫩妹的无脑冲~ ✈️ 车牌: @xiaojing0088 🤖 机器人: @xiaojjdejiqiren_bot #杭州 #嫩妹 #颜值 #集美推荐
👏47👍43🤩43🔥38❤35🎉32💯2🎄1
艺名: #小幼米(十八岁童颜巨乳) 段位: #辅导员(青铜) 地点: #上城区 编号: #JMHZ1281 👥【集美推荐官】:校长搜罗,待群友品鉴 📢 🅹🅼🅽🆄【校长观察室】 嫩妹,童颜,巨乳,身材顶 乖巧,懂事,配合,小女儿 丝滑,细腰,丰臀,准炮架 💋 幼米来杭开课不久,约课也比较佛,没有太强求,硬件非常顶级,纯正十八岁的身体,嫩滑白皙,冷白,非常青涩,🐝腰,丰乳肥臀,画面感很强,去出击完完全全都是回忆你十八岁的青春,图的不是服务和风骚,是真切的青春回忆,唯一要注意的就是,小幼米比较脆,大JJ劝退,会检查尺寸~喜欢极致嫩妹的可以冲~ 🏷 校长一句话: 娉娉袅袅十三余,豆蔻枝头二月初 ️ 💎 车架: 160/88/C 🪙 车费: 1500/3000 ✈️ 车牌: @cdnnfdc666888 🤖 频道: @NNNNNNiu_bot #十八 #嫩妹 #童颜巨乳 #视频 杭州交流群 : @JMNU0571a 【集美师范大学
❤69🎉60🤩56👏48👍47🔥46🦄2🏆1
⭐️清原爱奈姐妹双十一白嫖福利⭐️ 接下来,迎接你们的王! 〰️〰️〰️〰️〰️〰️〰️〰️ 🎙 号外号外,清原爱奈——御女潮喷姬携手亲妹妹,送出2026年双十一超重磅福利,【双飞白嫖券】!!!!!! 〰️〰️〰️〰️〰️〰️〰️〰️ ✅ 杭州唯一一对亲姐妹双飞,帝王服务,极致潮喷,高档公寓,优质口碑~你还要怎样?除了双飞白嫖券,还有红包福利等你来拿,此时不来更待何时??? 〰️〰️〰️〰️〰️〰️〰️〰️ 🏃♂️ 抽奖注意事项: 1.必须设置用户名; 2.必须自用,禁止转赠,否则无效; 3.文明约课,礼貌约课,善待老师; ✈️老师车牌: @ainai889 🤖 机器人:@ainai889_bot 动动你发财的小手,一起感受帝王双妃吧~ #杭州 #姐妹 #双飞 #白嫖 #潮喷
👏44❤39🔥36👍34🎉33🤩33🦄2🎄1
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_8205892302
🎉42👍40🔥40🤩38❤37👏34💯2🤗2
《立冬,请你喝冬天第一杯拿铁》 黑色的长裙,勾勒出自信的曲线 喧闹的人群中 自成一道静谧的风景线 墨镜下的唇角,带着不羁与从容 随意的穿搭 是刻进骨子里的大方与风情 你转身,向着光影的深处走去 微微抬起的手臂 像是与世界最潇洒的告别 又像是,对自我最骄傲的加冕 无需言语 你走过的地方 连风都变得温柔 你就是你 美得坦荡 美得,独一无二 ——CHAT GPT 丙午马年 农历九月二十九立冬 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 【我温柔又大气的拿铁老婆】 11月10日,杭州巡回十天,🉑提前预约~ ✈️ 车牌: @latte123330 🤖 机器人: @yeyenatie_bot #杭州 #立冬 #名媛 #丰乳肥臀
👍51🎉45🔥43❤40👏40🤩36🏆2🦄2
艺名: #小小雨(秋水明眸) 段位: #辅导员(青铜) 地点: #上城区 编号: #JMHZ1280 👥【集美推荐官】:f.o事故哥,推荐理由:她有一双含情脉脉的大眼睛 📢 🅹🅼🅽🆄【校长观察室】 颜值,大眼,甜妹,高情绪 身材,翘臀,曲线,好炮架 口爆,深喉,热情,凹服务 ✔️ 最近f.o事故哥吃得有点过于好了,第一次她去的是小雨的工作室,由于匆忙,估计也在意过多细节,就没有做推荐,但是又意犹未尽,念念不忘,昨天就喊了上门pp,这回深究细探,推荐了,好认真负责的狼友啊,我凑~首先,颜值方面,小小雨老师比较能打,其次服务意识拉满,深喉口爆都能来,第三身材也不遑多让,第四是最重要的一点,doi时一双大眼睛会含情脉脉的看着你,情绪价值瞬间拉得满满当当的~喜颜值服务系的无脑冲就是了~ 🏷 校长一句话: 一寸秋波,千斛明珠未觉多~ ️ 💎 车架: 165/49/B+ 🪙 车费: 1000/1800 ✈️ 车牌: @xiaoyu77…
🤩51🔥48🎉41👍41❤34👏33🦄2🎄1
Showing the 12 most recent of 81 posts we hold for @JMNU0571. 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.
@JMNU0571 edited 2 posts 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.
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.
Named by 11 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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“【集美师范大学】杭州校区(上海后援)” (@JMNU0571), 17,087 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/JMNU0571.
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.