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Channel

米洛蒂秘密后花园

@miluodidi

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

8,574subscribers

+411 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002480433749
TypeChannel
Username@miluodidi
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/miluodidi

Growth

8,1548,5748,3647 August 2026 — 8,163 subscribers8 August 2026 — 8,162 subscribers11 August 2026 — 8,159 subscribers14 August 2026 — 8,154 subscribers17 August 2026 — 8,158 subscribers20 August 2026 — 8,196 subscribers24 August 2026 — 8,311 subscribers27 August 2026 — 8,535 subscribers30 August 2026 — 8,574 subscribers7 August 202630 August 2026
9 measurements spanning 23 days, net +411. 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 8,091–8,637 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 10:028,574+39
27 Aug 2026, 09:088,535+224
24 Aug 2026, 11:488,311+115
20 Aug 2026, 12:528,196+38
17 Aug 2026, 16:578,158+4
14 Aug 2026, 13:338,154-5
11 Aug 2026, 11:048,159-3
8 Aug 2026, 05:398,162-1
7 Aug 2026, 18:038,163first reading

Engagement

30 posts held, back to 12 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
30.9%
avg views ÷ 8,574 subscribers
Avg views / post
2,650
21 posts measured
Reaction rate
0.116%
reactions ÷ views · ER floor
Posts in window
24
of 30 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 18 of 21 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 27 August 2026
Posts held30 (12 July 202627 August 2026)
Views total55,700
Reactions total56
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 17:09 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

Video runtime
43s
Average length
11s

Measured directly from 4 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

68 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 79.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5479.4%
💩1014.7%
🍌22.94%
🥰22.94%

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 21 of the 30 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 68reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 12 July 2026 to 27 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

27 Aug 2026, 10:14 UTC≈1,130 views2 reactionsread 28 August 2026

上海美少女报告模板 【位置艺名】:米洛蒂 【联系方式】 @taiwanliya 【喝茶留名】:小趴菜 【喝茶时间】:8、27 【喝茶价格】:1200 【芳龄身高】:160+ 【罩杯手感】:b 【服务内容】:如实描述 【优点缺点】:哇塞,自己想 【体验细节】:从进门就觉得妹妹甜美可爱,有个角度甚是杨幂,服务很棒,第一次感受进问被扒光原味鸡送上,妹妹口的很舒服,全程无齿感,小舌头非常灵活,把鸡鸡含在嘴里转圈圈,多就不记得了,紧接着冲洗,继续苦吃苦吃 妹妹喊我趴下做B面,没想到颜值这么高的小姐姐服务居然这么高,这一点属实惊讶到我了,确实很久没有体验过这种莞式大全套了,各种骚话连篇,各种蹭你,很赞,这个妹子是我为数不多必须回头的一个! 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座。

1💩1

26 Aug 2026, 05:15 UTC≈1,400 views1 reactionsread 28 August 2026

上海美少女报告模板 【位置艺名】:米洛蒂 【联系方式】 @taiwanliya 【喝茶留名】:coast 【喝茶时间】:8.26 【喝茶价格】:1900 【芳龄身高】: 20来岁 170 【罩杯手感】:b 【服务内容】:课表上全部 只有想不到的没有做不到的 【优点缺点】:没有缺点,服务超级超级好,特别热情的ls 全程没有脱离感,很棒的一次邂逅 【体验细节】:进门超级热情迎接,迫不及待的把我拉去沙发边退去裤子开始原味鸡,口了很久,交完水费一同进去沐浴,ls帮忙打完沐浴泡沫从背后开始胸推,丝滑无比,更舒服的是猴子捞月,虽然不是第一次体验但是依旧一颤,接着便是水中萧,没有尺感只有技术十八般武艺感觉每一秒都不一样,接着擦干便去ls的情趣展览店里挑选战袍和丝袜,挑选完后便趴在床上开始毒龙,目前遇到过最顶级的毒龙,ls的👅非常有力先外圈每个角落照顾到,随后便是用力进入,不禁被顶的哼唧一声,结束完后又是花式口活,趁机摸了摸老师的小骚xue

💩1

26 Aug 2026, 01:00 UTC≈1,510 views2 reactionsread 28 August 2026
Photo

🎉🎉🎉 开奖通知了 🎉🎉🎉 舌吻群 米洛蒂 @taiwanliya 上榜福利 抽奖已经结束,中奖列表如下: 炯炯 炮兵 获得:米洛蒂半价p 👨‍🎨 参与人数:119 人 📜 抽奖说明 🎉 中奖兑换说明 中奖后,请将中奖截图发送给对应老师进行兑换。 @taiwanliya ⏰ 使用规则 开奖后请及时预约课程,无法在规定时间内完成课程的同学请勿参与抽奖。 中奖者需在 72小时内完成出击并提交对应报告。 ⚠️ 中奖资格仅限本人使用 严禁私下转让、出售,或更换他人使用,一经发现取消中奖资格。 🐍 加入上海舌吻群 给上海舌吻爱好者一个家。 聊体验、看报告、找老师,也有不定期群内福利。 🎉『快联系负责人领取您的奖品吧~』

1💩1

25 Aug 2026, 01:00 UTC≈1,960 views2 reactionsread 28 August 2026
Photo

🎰 舌吻群 米洛蒂 @taiwanliya 上榜福利 📮 参与条件 🎫 加入-上海舌吻茶话会 └ 🎟️ 发言数大于 5 条 🎫 加入-上海舌吻认证频道 🎫 加入-米洛蒂秘密后花园 🎁 奖品名单 💰️ 米洛蒂半价p × 1 📜 抽奖说明 🎉 中奖兑换说明 中奖后,请将中奖截图发送给对应老师进行兑换。 @taiwanliya ⏰ 使用规则 开奖后请及时预约课程,无法在规定时间内完成课程的同学请勿参与抽奖。 中奖者需在 72小时内完成出击并提交对应报告。 ⚠️ 中奖资格仅限本人使用 严禁私下转让、出售,或更换他人使用,一经发现取消中奖资格。 🐍 加入上海舌吻群 给上海舌吻爱好者一个家。 聊体验、看报告、找老师,也有不定期群内福利。 📆 开奖时间 • 北京时间 2026-08-26 09:00

1💩1

22 Aug 2026, 10:23 UTC≈2,480 views1 reactionsread 28 August 2026

上海美少女报告模板 【位置艺名】:米洛蒂 【联系方式】 @taiwanliya 【喝茶留名】:jx 【喝茶时间】:8.21 【喝茶价格】:1200 【芳龄身高】:165左右 20岁 【罩杯手感】:c罩 真凶很软 【服务内容】:课表都有 【优点缺点】:颜值90+身材极品,喜欢挑逗你,技术高超,擅长互动调情。唯一缺点是感觉她在艹你,而不是你艹她,哈哈 【体验细节】:进门主动脱裤子吃鸡,骚的很,课表所有服务全部做一遍,不敷衍,情绪价值拉满,毒龙和口活不喊停都不停的,目前遇到的颜值+服务排前二的 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座。

💩1

21 Aug 2026, 09:06 UTC≈2,770 views4 reactionsread 28 August 2026

上海美少女报告模板 【位置艺名】:米洛蒂 【联系方式】 @taiwanliya 【喝茶留名】:杭州小迷弟 【喝茶时间】:8.21 【喝茶价格】:1900pp 【芳龄身高】:目测25,164 【罩杯手感】:b+ 【服务内容】:课表有的都有 【优点缺点】:老师热情开朗,服务态度非常赞 【体验细节】:一直关注老师,可惜老师经常在深圳,鞭长莫及。看到老师来上海了,立马翘班从杭州赶赴上海。刚进本就被老师扒了裤子,还是熟悉的感觉,老师直接吃起了原味鸡,就知道有这出,过去前提前用湿巾清理一下🙈。看着老师越吃越起劲,有点招架不住,直接拉着老师去了卧室,此时此刻只想进入老师温暖的小学,能夹会吸,骚话连篇,真是不可多得的人间尤物。此处省略一万字。一番云雨过后也是进入了贤者模式,洗完澡老师会贴心的给你按摩到时间结束。已经n刷了,只要老师在上海杭州开,每次都要来一下。推荐! 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座。

3💩1

21 Aug 2026, 09:03 UTC≈2,490 views2 reactionsread 28 August 2026

上海美少女报告模板 【位置艺名】:米洛蒂 【联系方式】 @taiwanliya 【喝茶留名】:匿名 【喝茶时间】:8.21 【喝茶价格】:1900pp 【芳龄身高】: 颜值高 身材好 【罩杯手感】:有型 手感很好 【服务内容】:助浴 蛇纹AB面 课表上的都有 【优点缺点】:没有缺点 【体验细节】:第二次找老师,服务是天花板级别。进门就是帮忙脱衣服,按在沙发上开始服务。然后就是助浴,服务过程全程都很投入。第一次直接被秒。绝对是无敌的体验。 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座。

1💩1

21 Aug 2026, 05:45 UTC≈2,340 views3 reactionsread 28 August 2026
Forwarded from @hxshyxPhoto

🥐艺名: 米洛蒂 🤗年龄: 04身高 : 167体重 :46 熊:C 📍位置: 长宁 💸价格: 1200p/50min 1900pp/80min 👩‍🎓标签:手推#臀推#69#口爆#毒龙 🥂联系老师: @taiwanliya 💓老师频道: https://t.me/miluodidi 韩信上海备用榜:https://t.me/shhxyxb 韩信上海优选榜:@hxshyx 韩信上海精选榜:@hxshjxb 上海外围大⭕️:@ccxkshww

2💩1

Showing the 12 most recent of 30 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.

Citation-graph rank

Citation-graph rank — 1,527,402 of 1,627,445entries 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.

Forward network

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.

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 30 August 2026 — this entry's latest reading, not the date you are reading this.

“米洛蒂秘密后花园” (@miluodidi), 8,574 subscribers as measured 30 August 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.