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Channel

上海老师榜单(中转备用)

@mululaodhi

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

8,717subscribers

+3,124 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002510898274
TypeChannel
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)
CreatedBetween 1 February 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live5 November 2026
Measurements held45
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/mululaodhi

Topic

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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

5,49815,88910,693.58 August 2026 — 5,593 subscribers8 August 2026 — 5,498 subscribers11 August 2026 — 15,889 subscribers12 August 2026 — 15,773 subscribers14 August 2026 — 15,687 subscribers15 August 2026 — 15,580 subscribers17 August 2026 — 15,313 subscribers18 August 2026 — 15,170 subscribers19 August 2026 — 15,097 subscribers20 August 2026 — 15,048 subscribers21 August 2026 — 15,041 subscribers22 August 2026 — 15,028 subscribers24 August 2026 — 14,982 subscribers25 August 2026 — 14,946 subscribers26 August 2026 — 14,938 subscribers27 August 2026 — 14,944 subscribers28 August 2026 — 14,932 subscribers29 August 2026 — 14,853 subscribers30 August 2026 — 14,772 subscribers31 August 2026 — 14,706 subscribers1 September 2026 — 14,671 subscribers2 September 2026 — 14,622 subscribers4 September 2026 — 14,569 subscribers7 September 2026 — 14,514 subscribers10 September 2026 — 12,882 subscribers12 September 2026 — 12,707 subscribers13 September 2026 — 12,572 subscribers15 September 2026 — 12,312 subscribers17 September 2026 — 12,217 subscribers26 September 2026 — 12,013 subscribers4 October 2026 — 11,665 subscribers9 October 2026 — 11,356 subscribers13 October 2026 — 11,159 subscribers14 October 2026 — 11,013 subscribers15 October 2026 — 10,833 subscribers17 October 2026 — 10,625 subscribers17 October 2026 — 10,464 subscribers18 October 2026 — 10,259 subscribers20 October 2026 — 10,039 subscribers21 October 2026 — 9,820 subscribers24 October 2026 — 9,386 subscribers27 October 2026 — 9,170 subscribers31 October 2026 — 8,911 subscribers3 November 2026 — 8,779 subscribers5 November 2026 — 8,717 subscribers8,7178 August 20265 November 2026
45 measurements spanning 90 days, net +3,124. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,939–17,448 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 45
Measured (UTC)SubscribersChange
5 Nov 2026, 14:188,717-62
3 Nov 2026, 00:598,779-132
31 Oct 2026, 04:518,911-259
27 Oct 2026, 18:079,170-216
24 Oct 2026, 07:189,386-434
21 Oct 2026, 01:199,820-219
20 Oct 2026, 01:3010,039-220
18 Oct 2026, 22:3610,259-205
17 Oct 2026, 23:0610,464-161
17 Oct 2026, 02:0110,625-208
15 Oct 2026, 23:1110,833-180
14 Oct 2026, 19:5811,013-146
13 Oct 2026, 11:1111,159-197
9 Oct 2026, 05:5711,356-309
4 Oct 2026, 17:3811,665-348
26 Sept 2026, 23:2112,013-204
17 Sept 2026, 10:5912,217-95
15 Sept 2026, 12:5712,312-260
13 Sept 2026, 22:3912,572-135
12 Sept 2026, 08:4112,707first reading

Engagement

59 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 49 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.251%
avg views ÷ 8,717 subscribers
Avg views / post
21.9
12 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
12
of 59 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 November 2026
Posts held59 (2 August 2026 – 5 November 2026)
Views total263
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 22:31 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
≈8,580
Videos
≈1,920
Links
≈1,340

Lifetime counters from Telegram’s own channel header, read 5 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
5m 32s
Average length
8s

Measured directly from 42 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

7 reactions across 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤7100.0%

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 7 of the 59 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 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 59 most recent posts we hold, published 2 August 2026 to 5 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: 0 of 12 posts held from the last 30 days (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).

5 Nov 2026, 18:49 UTC1 viewsread 5 November 2026
Photo

💃艺名:灵煊 #新人开课 🏠位置:#闵行 ⚙️硬件 :03年 48kg 176cm 🐻G 💰课程费用:900/p 45min 1600/pp 80min 包2时 2300 包3时3300 包✌🏻 6000 包白天12小时 8000 24小时 10000 🌈简介:乳胶特别舒服 kiss 深🐒 (多长都能吞得下) 调晴 陪🛁 三点式漫遊 🐻推 6-7套丝🧦 20多套制服 激情👏🏻👏🏻👏🏻 😀 联系方式:@lingxuan5208 🤖双向机器人: @lingxuandqjr_bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道

5 Nov 2026, 17:45 UTC7 viewsread 5 November 2026
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💃艺名:乐乐 🏠位置:浦东 三林 ⚙️硬件 :21岁 160cm 45kg 🐻B+ 💰课程费用:600p 50min 1200pp 90min 包时1000(60分钟)不限次 ✌🏻2800 不限次 🌈简介:陪🛁 🐍吻 6️⃣9️⃣ 🈚🍑口 🐬推 十指弹琴 漫遊 🐻推 🐬推 足🍌 智服诱惑 丝🧦诱惑 晴趣诱惑 按摩 👅乃头 (水多多) 😀联系方式:@lele_14z 🤖双向机器人: @lele_14zbot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀浮香掠影(交流群)

5 Nov 2026, 17:45 UTC7 viewsread 5 November 2026
Photo

💃艺名: 林一菲 🏠位置:浦东陆家嘴 ⚙️硬件 :02年 168cm 51kg 🐻D 💰课程费用:1500p 50min 2500pp 90min 包段5000 ✌🏻6000 🌈简介:🐍吻 6️⃣9️⃣ 陪🚿 事后啸 重度反差 外萌内烧榨汁机 电动小马达 😀联系方式:@yifeijjj 🤖双向机器人: @linyifei_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 评价10 评价11 评价12 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀浮香掠影(交流群)

4 Nov 2026, 17:45 UTC33 viewsread 5 November 2026
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💃艺名:优爱 🏠位置:静安 ⚙️硬件 :19岁 164cm 83斤 🐻C 💰课程费用:1500p 40min 2600pp 90min ✌🏻4400 (包含口🐆 🐻推 s m 拍不露脸小视频) 🌈简介:口 做 丝🧦 智服调晴 免费送一套cos 😀联系方式:@lucky899811 🤖双向机器人: @misa798_bot 老师频道 查看&发表评价 📋评价展示 评价1 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀浮香掠影(交流群)

4 Nov 2026, 17:45 UTC22 viewsread 5 November 2026
Photo

姐妹古法泰式抓龙筋 #虹口 #浦东 #松江 #店 价格 :498 👉深层舒缓 👉精油放松 👉龙筋抚触 👉直击要害 👉龙根拉伸 👉唤醒欲望 👉控精脱敏 👉 前列充能 👉特色丝足 📱提升战斗力 😀源于泰式🇹🇭古法👉,疏通男性私密要害经络、深层激活能量、强化耐力与持久度,重启龙根满格状态😀 身心双重释放😀 📱直击要害📱唤醒欲望📱激发活力📱 📱三层酥麻叠加👉 高阶快感👉三起三落😎 👍战力提升🚀龙根调理💪 🏰环境温馨舒爽靠谱🏰 😀一对一 私密居家工作室⛺️ 咨询入口 @GDYY01 频道入口 @GD4488 QQ :2656425393

4 Nov 2026, 17:45 UTC19 viewsread 5 November 2026
Photo

💃艺名:小瑶宝宝 🏠位置:#徐汇 ⚙️硬件 :07年 164cm 41kg 🐻C 💰课程费用: 1800/p 60min 3500/pp 120min 下午🍵 5200 3小时(限3) ✌🏻8000 (晚11点-早9 限3) 1.5w 包天 18小时不限次 🌈简介:🐍吻(口臭不🐍禁强迫)无🍑口 陪🛀 6️⃣9️⃣ 丝袜 情趣(需提前说) 艾艾 调情 胳膊上有只小kitty猫 是偏网红脸类型的哦 乖巧听话 聊天不冷场 性格活泼 黑长直07年宝宝粉嫩💦多 😀 联系方式:@miss_yaobao 🤖双向机器人: @xinyaobbbot_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 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀浮香掠影(交流群)

3 Nov 2026, 19:32 UTC31 viewsread 4 November 2026
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💃艺名:馨予🔥 🏠位置:闵行(黄埔) ⚙️硬件 :99年 165cm 46kg 胸C+ 💰课程费用:1500p 50min 2500pp 80min 3500pp 130min 🌈简介:🌺老师带你体验cosplay ,每套晴趣👙都有剧情小故事,热情主动不冷场,超会聊天,不机车,只做好服雾口碑,风烧主动,细心体贴,女友搬的体验。配合各种资势 🉑6久🉑🐍💋🉑深🐒,口技一流,👅超软会裹会吸。高档课室好停🚗 😀联系方式:@loveyy34 🤖双向机器人: @xinyu34_bot 🔊老师频道 🔍查看&发表评价 📖评价展示 历史评价 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 评价10 评价11 评价12 评价13 评价 14 评价15 评价16 评价17 评…

3 Nov 2026, 19:32 UTC29 viewsread 4 November 2026
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💃艺名:张娜娜🔥 🏠位置:闵行 ⚙️硬件 :体重:52kg 身高:170cm 胸围:36E 年龄:24 💰课程费用:1500P【50分】 2200PP【80分】 🌈简介: 助🌧过水,漫遊,吹潇,口💥,深🐒,蛇纹,乳茭,6️⃣9️⃣互玩,毒🐲,会缩会夹,各类丝🧦晴趣智服齐全,朝喷女王👸边做边喷,会简单SM剧情 😀联系方式:@Znnbaobao 🤖双向机器人: @yeyebaob_bot 老师频道 发表评价 📋评价展示 历史评价 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 评价10 评价11 评价12 评价13 评价14 评价15 评价16 评价17 评价18 评价19 评价20 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀浮香掠影(交流群)

3 Nov 2026, 19:32 UTC23 viewsread 4 November 2026
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💃艺名:小景瑜 🏠位置:#闵行 七宝 ⚙️硬件 :04年 175cm 48kg 🐻E 💰课程费用:1300/p 40min 1700/pp 70min ✌🏻5200 🌈简介:🉑🐍吻 🉑💋kiss 🉑6️⃣9️⃣ 小m有晴趣丝🧦 高跟口🔥超级一级棒 😀 联系方式:@jinyu99900 🤖双向机器人: @jinyudjqr_bot 老师频道 查看&发表评价 📋评价展示 评价1 评价2 评价3 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀浮香掠影(交流群)

2 Nov 2026, 18:13 UTC36 viewsread 3 November 2026
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💃艺名:气质少妇小美 🏠位置:徐汇 ⚙️硬件 :175cm 50kg 🐻E 💰课程费用:2500/p 60min 4500/pp 120min 包时3-4时 5500 不限次 ✌🏻6800 不限次 🉑空降 1w起 🌈简介:6️⃣9️⃣ 口 🐍吻 制服诱惑 丝袜诱惑 双飞 3p 😀 联系方式:@S44499 🤖双向机器人: @sjsjsh520_bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀浮香掠影(交流群)

2 Nov 2026, 18:13 UTC30 viewsread 3 November 2026
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💃艺名:梓琳 🏠位置:#普陀 ⚙️硬件 :03年 168cm 49kg 🐻F 💰课程费用:1800/p 60min 3500/pp 120min ✌🏻5000 8小时 💥💥回归福利:写评价优惠200元, 定金约课 🌈简介:🈚🍑口 6️⃣9️⃣ 🐍吻 陪🛁 情趣制服 双商高 会提供情绪价值 😀 联系方式:@hzlulu0 🤖双向机器人: @XiaoguanjiaBOT 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀浮香掠影(交流群)

2 Nov 2026, 18:12 UTC25 viewsread 3 November 2026
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💃艺名:肉肉 🏠位置:静安 ⚙️硬件 :06年 167cm 82斤 🐻D 💰课程费用:3000p 6000pp ✌🏻1w (21点-自然醒) 包5时 1w 不限刺 包天1.6w 🌈简介:白幼瘦 一线天 朝喷 小玩具 智服诱惑 角色扮演 😀联系方式:@rouroutoo 🤖双向机器人: @gzrourou520_bot 老师频道 查看&发表评价 ~~~~~~~~~~~~~~~~ 🎁福利频道 🚀浮香掠影(交流群)

Showing the 12 most recent of 59 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.

Posts recorded as deleted after publishing

We recorded 1 post on @mululaodhi 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
29 August 2026
Most recent seen missing
29 August 2026
Median time before seen missing
29 hours
Seen missing in the last 30 days
0

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.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“上海老师榜单(中转备用)” (@mululaodhi), 8,717 subscribers as measured 5 November 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.