https://t.me/meishaonvaoao 可以看看我朋友
❤2

Channel
@miluodidi
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
10,167subscribers
+2,004 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002480433749 |
|---|---|
| Type | Channel |
| Username | @miluodidi |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/miluodidi |
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 77% 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 |
|---|---|---|
| 4 Nov 2026, 22:24 | 10,167 | +13 |
| 3 Nov 2026, 23:20 | 10,154 | +13 |
| 2 Nov 2026, 20:09 | 10,141 | +17 |
| 1 Nov 2026, 20:55 | 10,124 | +14 |
| 31 Oct 2026, 23:29 | 10,110 | +8 |
| 31 Oct 2026, 00:09 | 10,102 | +33 |
| 29 Oct 2026, 23:38 | 10,069 | +121 |
| 27 Oct 2026, 06:55 | 9,948 | +202 |
| 24 Oct 2026, 15:56 | 9,746 | +61 |
| 21 Oct 2026, 14:30 | 9,685 | +78 |
| 18 Oct 2026, 06:40 | 9,607 | +37 |
| 15 Oct 2026, 03:50 | 9,570 | +39 |
| 12 Oct 2026, 08:38 | 9,531 | +51 |
| 5 Oct 2026, 10:36 | 9,480 | +42 |
| 27 Sept 2026, 17:41 | 9,438 | +275 |
| 18 Sept 2026, 16:56 | 9,163 | +66 |
| 14 Sept 2026, 07:41 | 9,097 | +57 |
| 10 Sept 2026, 18:18 | 9,040 | +170 |
| 6 Sept 2026, 02:18 | 8,870 | +261 |
| 2 Sept 2026, 05:22 | 8,609 | first reading |
45 posts held, back to 12 July 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 24 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. It is computed over the 13 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 31 October 2026 |
|---|---|
| Posts held | 45 (12 July 2026 – 31 October 2026) |
| Views total | 49,900 |
| Reactions total | 26 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 20:28 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.
94 reactions across 31 posts, in 4 distinct kinds. The most used accounts for 85.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 80 | 85.1% | |
| 💩 | 10 | 10.6% | |
| 🍌 | 2 | 2.13% | |
| 🥰 | 2 | 2.13% |
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 34 of the 45 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 94 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 12 July 2026 to 31 October 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: 0 of 15 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).
https://t.me/meishaonvaoao 可以看看我朋友
❤2
姨妈提前了老公们下次再见😭😭😭
🐴杭州无内鬼报告模板2.0 【位置艺名】:米洛蒂 【联系方式】:@tanwanliya 【喝茶留名】:阿飘 【喝茶时间】:10.29 【喝茶价格】:1200 【芳龄身高】:永远18岁 【罩杯手感】: 【服务内容】: 【优点缺点】: 【体验细节】:从深圳到杭州出差,正好跟米洛蒂再续前缘。不一样的房间,一样的服务,一样骚气的老师。一进屋就扒我衣服然后开始吃鸡,然后用冰凉的小手刺激我的乳头,我问她手指怎么这么凉,她说干一会儿就好了,小骚蹄子这么长时间不见面了,我直接拽她进屋带套开干,让她见识一下我减肥成功后的实力。(给没来过的兄弟们说一下,老师的服务非常好,要不然也不会让我多刷了,这次报告没写纯粹是我猴急馋老师身子直接正片开干了)首先传教士,老师并拢双腿让我整根没入,我最喜欢这个姿势了,老师一边说受不了了不要了,一边用手指刺激我的乳头,小穴还在不断吮吸我的肉棒,我自然继续大力鞭笞老师。有点累了就让老师女上,结果老师说我太长了女上不敢做…
❤3
【No. 149】 【艺名】#米洛蒂 【私信】 @taiwanliya 【地点】拱墅 【价格】1200P 【类型】骚系御姐 【年龄】25 【评价】超级好评 ⬇️ 综合得分:89 硬件: 颜值 8.5分 身材 8.5分 胸型 8分 户型 8.5分 水量紧度 8.5分 硬件评分:42 软件: 服务态度 10分 服务技巧 10分 屌感 9分 啪啪反馈 9分 突出技巧 9分 软件评分:47 软件硬化工程施工过程: 进门用原味鸡来点亮, 冰可乐开启双手奉上, 岔开腿往沙发上一摊, 跪式原味鸡的含金量! 硬件软件细分 【课室环境】小区房,进出方便,装修尚可 【陪浴】浴室有花活,AB面清洗仔细,水中萧 【舌吻】主动攻击型大蟒蛇,霸道强吻你 【口活】9.5分 【胸型】天然B,乳头乳晕小,颜值常规 【户型】小蝴蝶,水多汁密,包裹性强 【装备】铃兰满目,电视柜一排全是,电视机都挂丝袜 初印象: 看课表特服…
❤2
杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】#米洛蒂 【老师 I D :】@taiwanliya 【出击时间】10月27日 【大概位置】拱墅 【狼友账号】Lynn Delgado 【开课价格】1200 【老师类型】网红 【大概年龄】 【客观评价】好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 8 分 身材 8 分 胸型8 分 户型 9 分 水量紧度 9 分 硬件评分:42 软件: 服务态度 10 分 服务技巧 10分 屌感 9 分 啪啪反馈 9 分 突出技巧 9 分 软件评分:47 综合评分:89 软件硬化工程施工过程: 米洛蒂老师看频道的照片长得一张网红脸神似李小璐,让我自动代入了李小璐的人设,到了发现实则不然,ls是个开朗热情高能量的元气少女,感觉像快乐小狗型性格,一进门就热情的和你聊天然后直接开始原味鸡,还真不是装的热情那种,她是…
❤3
杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】 #米洛蒂 【老师 I D :】@taiwanliya 【出击时间】10月 【狼友账号】小生比逼@xiaoshenbibi 【开课价格】 1300/P 【老师类型】服务型粤港名师 【客观评价】好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 8分 身材 9分 胸型 8分 户型 9分 水量紧度 9分 硬件评分: 43分 软件: 服务态度 10分 服务技巧 10分 屌感 9分 啪啪反馈 9分 突出技巧 9分 软件评分: 47 综合评分: 90 软件硬化工程施工过程: 今天约的是米老师。 进门第一下就很直接。人还没坐稳,她就一把把我拉到沙发前,跪下去把裤子解开,直接掏出原味鸡含进嘴里。一边舔一边用眼睛看你,同时把自己的内衣也解开。完全没有前戏过渡,上来就是原味,舌头又软又…
❤1
杭州爆破严选认证报告模板 https://t.me/HZBPYXQ 【老师艺名】#米洛蒂 【老师 I D :】@taiwanliya 【出击时间】10月x日 【大概位置】拱墅 【狼友账号】灯火 【开课价格】120p, 【老师类型】 御姐 【大概年龄】20+ 【客观评价】超级好评 各项满分为10分,软件.硬件各50 综合100分 硬件: 颜值 9 分 身材 10分 胸型 10 分 户型 9 分 水量紧度 9分 硬件评分:47 软件: 服务态度 10分 服务技巧 10 分 屌感9 分 啪啪反馈 10 分 突出技巧10 分 软件评分:49 综合评分:96 软件硬化工程施工过程: 老师在一个热门小区,一进门就被老师的性格给定住了,活泼开朗大方,在外面看到就是一个超级无敌美少女,穿着一套白色性感情趣套装,一把把我拉到沙发面前,然后一个跪式服务就掏出我的二弟含进嘴里,一边舔抵一边在用拉…
❤1
繁花报告模板:https://t.me/HZFHLYQ 【优势】绝对绝对的天花板 【劣势】真正的全能战士无短板 【妹子花名】:#米洛蒂 【联系方式】:@taiwanliya 【妹子年龄】:20出头 【验证留名】:凯迪拉克战士 【验证时间】:10月26日 【修车水费】:pp 【颜值】:人照相似度,穿搭/气质/形象如何 颜值评分:15分 (满分15分) 完美没得说 全在玩审美点上 【身材】:身高/体型/肤色,有无纹身/疤痕 身材评分:15(分 (满分15分) 肩头一点点彩纹 【服务态度】:参看课表内容 服务评分:15分( 满分15分) 不愧是专业红牌 这里想给150 【情绪价值】:爱答不理/正常交流/沟通愉快 情绪评分:15分 (满分15分) 完美恋爱的感觉 【时间管理】:课位/课时安排是否合理 时间评分:10分 (满分10分) 【同价位合理性】:不符合价位/符合价位/超出价位 价位评分:10分 (满分10…
❤3
繁花报告模板 【优势】全是优势 【劣势】没有劣势 【妹子花名】:#米洛蒂 【联系方式】:@taiwanliya 【妹子年龄】:20多 【验证留名】:无 【验证时间】:10月 【修车水费】:1200p 【颜值】:人照相似度,穿搭/气质/形象如何 颜值评分:15分 (满分15分) 【身材】:身高/体型/肤色,有无纹身/疤痕 身材评分:15分 (满分15分) 【服务态度】:参看课表内容 服务评分:15分( 满分15分) 【情绪价值】:爱答不理/正常交流/沟通愉快 情绪评分:15分 (满分15分) 【时间管理】:课位/课时安排是否合理 时间评分15:10分 (满分10分) 【同价位合理性】:不符合价位/符合价位/超出价位 价位评分:10分 (满分10分) 【卫生环境】:事前事后有无清洗,课室是否干净整洁方便停车 环境评分:10分 (满分10分) 【额外加分项】:举例说明你觉得比较满意的一点 进门…
繁花报告模板:https://t.me/HZFHLYQ 【优势】六边形战士 【劣势】六边形战士没有劣势 【妹子花名】:米洛蒂 【联系方式】: 【妹子年龄】: 【验证留名】:圆陆鲨 【验证时间】:10月25日 【修车水费】: 【颜值】:夯 【身材】:夯 【服务态度】:夯 【情绪价值】:夯 【时间管理】:合理 【同价位合理性】:夯 【卫生环境】:有清洗,可以停路边 【综合评分】:满分 【流程小文】:三刷米洛蒂了,九月一别,没想到这么快又来杭州了,本来我都出发上海了,还好在服务区时看了眼手机。 这次依旧是让我迷醉的体验,有词为证。 《满江红 三刷米洛蒂》 桂花月冷,深秋夜、城郭灯歇。 初度户、任解衣裳,倒身攀膝。 檀口轻迎含热玉,香津细裹吞灵魄。 更魂销、酥骨尽由她,情难极。 携共濯,温流泻; 翻锦榻,香云叠。 跨细腰迎耸,紧缠如结。 急进深翻揉菽乳,狂抽疾送通花窟。 只管教、颠倒弄风流,欢难绝。
米洛蒂秘密后花园 pinned «杭州拱墅 开课 米洛蒂,哥哥你们好,我是来自香港Mc公司 编号1067,香港超级红牌,专业Sm 世间尤物,无所不能 三通,Sm 轻度 中度 拍摄,颜射,捆绑,露出,瑜伽,马甲线,情商高,会聊天,C罩杯,165,娇小性感 只有你想不到,没有我做不到的,巨骚无比,特点:无所不能,做别人所不能之事 服务:进门拥抱 高跟制服 环游世界 胸推,毛推,手推,臀推,毒龙,倒挂金钩,花式调情,360旋转,吹箫,鲍紧,丝袜可撕,69舌吻互舔,眉飞色舞,角色扮演,(口爆啪啪选择其中一) 这是1200里面服务,50分…»
杭州拱墅 开课 米洛蒂,哥哥你们好,我是来自香港Mc公司 编号1067,香港超级红牌,专业Sm 世间尤物,无所不能 三通,Sm 轻度 中度 拍摄,颜射,捆绑,露出,瑜伽,马甲线,情商高,会聊天,C罩杯,165,娇小性感 只有你想不到,没有我做不到的,巨骚无比,特点:无所不能,做别人所不能之事 服务:进门拥抱 高跟制服 环游世界 胸推,毛推,手推,臀推,毒龙,倒挂金钩,花式调情,360旋转,吹箫,鲍紧,丝袜可撕,69舌吻互舔,眉飞色舞,角色扮演,(口爆啪啪选择其中一) 这是1200里面服务,50分 pp 1900 80分钟 颜射+200 拍摄+300 吞精 +300 三通+300 Sm 请当面与我沟通 带现金、现金、现金、重要的事说三遍 唯一tg @taiwanliya
❤3
Showing the 12 most recent of 45 posts we hold for @miluodidi. 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.
Republishes
Channels on the register whose posts this channel has forwarded.
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 3 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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“米洛蒂秘密后花园” (@miluodidi), 10,167 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/miluodidi.
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.