📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 💃艺名:瑶小妖 🏠位置:#普陀 ⚙️硬件 :04年 163cm 43kg 🐻B 💰课程费用:1200/p 50min 2300/pp 90min 下午🍵 3500pp 3小时 🌈简介:🐍吻 晴趣制服 丝袜 🈚🍑口 👏🏻👏🏻 😀 联系方式:@yaoxyaoy 🤖双向机器人: @aiqiyiyiyi_bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀进入交流群

Channel
上海老师榜单(中转备用)
@mululaodhi
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
15,687subscribers
+10,094 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002510898274 |
|---|---|
| Type | Channel |
| Username | @mululaodhi |
| Description | 查看完整资料请关注 【正式榜单】 🌄目录主群: @mnlulaoshi12 🌇目录榜单: @laoahihaixuan 🌌中圈外围: https://t.me/+dLy1dozC9fowZjE1 🌉大圈外围: https://t.me/+Wt4nB1Ugf-s1NjRl 🏙️群主管理: @mulufq (上榜咨询) 🌃外围客服: @xiaobuding18 (布丁) |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/mululaodhi |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 04:57 | 15,687 | -86 |
| 12 Aug 2026, 22:36 | 15,773 | -116 |
| 11 Aug 2026, 23:02 | 15,889 | +10,391 |
| 8 Aug 2026, 12:34 | 5,498 | -95 |
| 8 Aug 2026, 01:01 | 5,593 | first reading |
Engagement
15 posts held, back to 2 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 · 30 days
- 0.702%
- avg views ÷ 15,687 subscribers
- Avg views / post
- 110
- 15 posts measured
- Reaction rate
- 0.857%
- reactions ÷ views · ER floor
- Posts in window
- 15
- of 15 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 3 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 15 (2 August 2026 – 15 August 2026) |
| Views total | 1,651 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 05:13 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
- ≈6,890
- Videos
- ≈1,500
- Links
- ≈1,090
Lifetime counters from Telegram’s own channel header, read 15 August 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 43s
- Average length
- 10s
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.
Reaction mix
3 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 3 of the 15 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 3reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 2 August 2026 to 15 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.
Recent posts
📊 1条车评,综合评分2.33 好评 0% |人照 1 |服务 中评 0% |颜值 3 |态度 差评 100% |身材 3 |环境 💃艺名:西施 🏠位置:#闵行 ⚙️硬件 :06年 167cm 52kg 🐻D 💰课程费用: 900/p 50min 1800/pp 100min 4000 两小时 ✌🏻7000 12小时 🌈简介:kiss 🐍吻 毒🐉 6️⃣9️⃣ 三点粉嫩 深🐒 口豹 观音坐莲 会汐会夹 👅🥚 sm 水多 会喷 会叫 各种智服 厕所 沙发 阳台都可以 🐻推 角色扮演 颜社 漫游 鸳鸯🛁 😀 联系方式:@ccnmb1 🤖双向机器人: @saaaqsis_bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀进入交流群
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 💃艺名:贝贝 🏠位置:#闵行 ⚙️硬件 :22岁 163cm 54kg 🐻D 💰课程费用: 600p 45min 1200pp 70min 🌈简介:🐍吻(口臭打咩) 6️⃣9️⃣ 口👄 🈚🍑口 🐻推 鸳鸯🛁 按摩 丝袜 智服诱惑 😀 联系方式:@beibei678901 🤖双向机器人: @beibei520qq_bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀进入交流群
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 💃艺名:知念 🏠位置:#浦东 ⚙️硬件 :25年 170cm 50kg 🐻D 💰课程费用: 1300/p 50min 2200/pp 90min 包时:4000 包夜:6000 包天:10000 🌈简介:蛇纹 大蟒蛇,6️⃣9️⃣,口🐆,鸳鸯🛁,花式吹 深🐒 口口到底,事后啸,🐻推,简单按摩,可纯🉑欲,各种丝袜制服。可外可夜。 😀 联系方式:@yujiezhinian 🤖双向机器人: @zhiniandejiqiren_bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀进入交流群
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 💃艺名:贝贝 🏠位置:#浦东 ⚙️硬件 :05年 155cm 45kg 💰课程费用: 1100/p 50min 1600/pp 80min ✌🏻4500 🌈简介:kiss 🈚🍑口 纸滑 🐻推 丝🧦 智服 鸳鸯🛁 szx 漫遊 调晴 6️⃣9️⃣ 口豹 👅🥚 😀 联系方式:@beibei_duo 🤖双向机器人: @doudoi_bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀进入交流群
❤1
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 💃艺名:小骚 🏠位置:#普陀 ⚙️硬件 :06年 165cm 45kg 🐻C 💰课程费用: 1100/p 40min 2000/pp 80min ✌🏻5500 🌈简介:6️⃣9️⃣ 口 🐍吻 智服诱惑 丝🧦诱惑 陪🛁 🐻推 纸滑 😀 联系方式:@xiaosao2027 🤖双向机器人: @xiaosao520q_bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀进入交流群
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 💃艺名:微微 🏠位置:#宝山 ⚙️硬件 :164cm 45kg 🐻D 💰课程费用: 1500/p 45min 2800/pp 90min 🌈简介:鸳鸯🛁 调晴 水🀄啸 👅蛋 🈚🍑口 深🐒 简单按摩 丝袜智服诱惑 全程资势可配合 😀 联系方式:@xierxier1314 🤖双向机器人: @xierxier1314_bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀进入交流群
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 💃艺名:柠萌🔥 🏠位置:长宁 ⚙️硬件 :19岁 155cm 42kg 🐻C 💰课程费用:1000p 50min 1800pp 80min 夜5200 10小时 🌈简介:裸萧 69 舌吻 舌漫 口爱 丝袜诱惑制服诱惑情趣内衣 高跟鞋 啪啪按摩 😀联系方式:@Liay000 🤖双向机器人: @liay111222_bot 老师频道 查看&发表评价 📋评价展示 评价1 评价2 评价3 评价4 评价5 评价6 评价7 评价8 评价9 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀进入交流群
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 💃艺名:夏染(白🐯) 🏠位置:#静安 ⚙️硬件 :04年 162cm 98斤 🐻E 💰课程费用:2000/p 50min 3500/pp 90min ✌🏻6000 9小时 限3次 包时 4000 4小时 限2次 包天1.2w 🌈简介:三点🌸粉嫩(白🐯) 可随时视频验证,可淡妆 可素颜见面 现场有晴趣制服可供哥哥挑选~ 上课可拍照/视频(不露脸) 陪🛁 🐍吻 6️⃣9️⃣ 粿吹 纸滑 口鲍 调情 👅🥚 丝袜诱惑 高跟 晴趣制服 啪啪~各种资势任意切换 🐍吻 6️⃣9️⃣ 必须刷牙漱口 谢谢!💗 😀 联系方式:@xxsyy108 🤖双向机器人: https:/…
❤1
📊 2条车评,综合评分7.33 好评 0% |人照 7 |服务 中评 100% |颜值 8 |态度 差评 0% |身材 7 |环境 💃艺名:小白菜 🏠位置:#松江 ⚙️硬件 :23岁 166cm 55kg 🐻G 💰课程费用:800/p 40min 1600/pp 80min 🌈简介:鸳鸯戏水 , 指纸滑全身,波涛汹涌,漫遊,毒🐉,6️⃣9️⃣,有🍑艾艾 (有特殊要求,提前讲哟) (新手刚入行 不过分的要求都可以尝试着满足) 😀 联系方式:@xiaobaicai_520 🤖双向机器人: @xiaobaicai521_bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀进入交流群
❤1
📊 0条车评,综合评分 好评 0% |人照 |服务 中评 0% |颜值 |态度 差评 0% |身材 |环境 💃艺名:白若璃 🏠位置:#普陀 ⚙️硬件 :25岁 167cm 50kg 🐻C- 💰课程费用:1200/p 50min 2200/pp 90min 2600包时/2小时 3500包时/3小时 5000包夜/23点-8点限4次 🌈简介:足🍌 艾艾 智服诱惑(可自带) 乖巧懂事 6️⃣9️⃣ 水🀄啸 黑丝 白丝 丝袜制服诱惑 小穴超紧 🐍吻(有异味打咩) 😀 联系方式: @bairuoli 🤖双向机器人: @yuxibaby_bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道
📊 1条车评,综合评分9.67 好评 100% |人照 9.5 |服务 中评 0% |颜值 9.7 |态度 差评 0% |身材 9.8 |环境 💃艺名:瑶妹 🏠位置:#徐汇 ⚙️硬件 :22岁 168cm 93斤 🐻C 💰课程费用: 1000/p 50min 1800/pp 90min 2600/2小时 ✌🏻5000 12-10 不限次 💥新人首开惊爆价:前三天7折优惠 欢迎大哥们尝鲜 🌈简介: 口🐆 深🐒 6️⃣9️⃣ 拍视频 🐻推 鸳鸯🛁 角色扮演 情景演绎 纸滑 🚗震 🐍吻 调晴 各种智服丝🧦 😀 联系方式:@yaomei0808 🤖双向机器人: @yaomei1bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀进入交流群
Showing the 12 most recent of 15 posts we hold for @mululaodhi. 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
Citation-graph rank — 545,373 of 1,350,102entries 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.
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.
@mulufuli · 11,97715 posts贝贝的小屋🏠
@beibeido · 2,4101 post贝贝的秘密小🏠
@beibeifang666888 · 181 post上海目录老师榜单🧾
@laoahihaixuan · 42,8111 post柠萌的秘密花园💝
@liay00000 · 1,1891 post小狐狸展览视
@tushuguan87 · 1,8121 post小骚的课表
@xiaosao2026 · 51 post夏染的历史评价
@xiaran77786 · 461 post微微的频道
@xierxier1315 · 391 post瑶小妖▪大王叫我来巡山
@yaoxiiyao · 311 post知念的私密空间
@zhinaindehouhuayuan · 1101 post竹子的福利频道
@zhuzifuli · 2,0531 post
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“上海老师榜单(中转备用)” (@mululaodhi), 15,687 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/mululaodhi.
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.