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Telegram profile photo for 米丽的后花园

Channel

米丽的后花园

@MIli225566

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

680subscribers

-1 since we began measuring on 1 September 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003251077749
TypeChannel
Username@MIli225566
CreatedBetween 1 October 2025 and 30 December 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded1 September 2026
Last confirmed live2 September 2026
Measurements held3
Confirmed unchanged1 time, most recently 2 September 2026
On Telegramt.me/MIli225566

Growth

680681680.51 Sept 2026, 17:30 — 681 subscribers1 Sept 2026, 17:45 — 681 subscribers2 Sept 2026, 07:24 — 680 subscribers1 Sept 2026, 17:302 Sept 2026, 07:24
3 measurements taken within a single day, net -1. 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 680–681 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
2 Sept 2026, 07:24680-1
1 Sept 2026, 17:45681no change
1 Sept 2026, 17:30681first reading

Engagement

20 posts held, back to 30 December 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.32%
avg views ÷ 680 subscribers
Avg views / post
9.0
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 20 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 31 August 2026
Posts held20 (30 December 202531 August 2026)
Views total18
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Sept 2026, 17:45 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
6s
Average length
6s

Measured directly from 1 video 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.

Recent posts

17 Aug 2026, 09:29 UTC12 viewsread 1 September 2026
Forwarded from @SHDD333

💃老师:#米丽 🤖链接: https://t.me/shanghaidadao/11816 💒位置:#浦东 ------------------ 💌出击报告:小姐姐,遥控上门开门后惊艳了 ,小姐姐穿的是透视装,之前我就硬了起来,扶了命之后,小姐姐带我去冲凉,一边冲凉一边帮我吹,简直是太爽了,然后我们又回到床上,小姐姐,按照课表的服务帮我做,真的是太舒服了,过程真的很享受,小姐姐的口技也是一流吹的,真的好舒服,第一次直接在小姐姐嘴巴里交枪,然后休息的时候小姐姐有帮我按摩,休息差不多,我们又来了第二次,激情满满,各种动作,整个感觉真的太棒了,爽爽爽,性价比很高,情绪价值满满,值得推荐

6 Aug 2026, 06:10 UTC22 viewsread 1 September 2026
Forwarded from @SHDD333

💃老师:#米丽 🤖链接: https://t.me/shanghaidadao/10297 💒位置:#浦东 ------------------ 💌出击报告: 进门后老师自身黑色蕾丝待机,身材非常棒!要啥有啥。看我比较拘谨老师非常热情跟我聊天,使我放松下来之后就领我洗澡。洗完后开始正戏,老师的口活非常好很舒服,口爆深喉的感觉很棒,第一次体验到这么爽的!口了一会儿老师女上,使我忍不住狠狠把玩一番,老弟不争气一会儿就被老师榨干了QaQ。颜值身材都非常在线,人也很热情大方!

4 Aug 2026, 04:06 UTC18 viewsread 1 September 2026
Forwarded from @SHDD333

💃老师:#米丽 🤖链接: https://t.me/shanghaidadao/11313 💒位置: #浦东 ------------------ 💌出击报告:进门惊艳 比照片好看自然,可御可甜,皮肤较好,没有符文,完美女神,洗浴完毕后,先是深情对视,拥抱抚摸,一阵潇声喵喵后,让mm戴衣上轿,翻云覆雨,击一结束,确实值得,昆感紧致,随后开始闲聊,mm性格温柔,比较随和,情绪值拉满

31 Jul 2026, 06:55 UTC21 viewsread 1 September 2026
Forwarded from @SHDD333

💃老师:#米丽 🤖链接: https://t.me/shanghaidadao/11313 💒位置: #浦东 ------------------ 💌出击报告:花洒打开后直接低头做水中萧。热水冲着,整根被含进水流里,口腔又热又滑,吸吮时有水珠顺着下巴往下滴,动作又慢又重,每一下都吞得很深。 真正做爱她很放开,尤其后入的时候观感直接拉满。背和腰的线条很清楚,自己还会主动把腰往下压,让进入更深。她里面又热又会夹,节奏稍微加快就配合着扭,水声和撞击声混在一起,完全是激情模式。水中萧的温热铺垫、后入时的视觉冲击、再加上她主动又热情的爱爱,整场又湿又猛。结束时她还保持着那个姿势喘了几口气,背上流着水光,看起来特别色。这种会在水里认真含、后入又特别好看、还肯放开做的,体验完会一直记得那个画面。

23 Jul 2026, 05:42 UTC27 viewsread 1 September 2026
Forwarded from @SHDD333

💃老师:#米丽 🤖链接:https://t.me/shanghaidadao/11313 💒位置:#浦东 ------------------ 💌出击报告:米丽把我拉进浴缸的时候,水已经调到刚好的温度。她没急着做什么,先让两个人都泡进去,自己跨坐在我身上,用湿漉漉的身体慢慢磨蹭,胸部、小腹、大腿内侧全是她故意留下的触感,全身漫游过水的前戏又黏又密,每一寸皮肤都被水汽和她的体温包裹。水中萧是她突然低头开始的。热水里她把整根含进去,口腔和水流一起包裹上来,温度又热又滑,吸吮时还会有细小的气泡声。因为在水里,她的动作变得更慢更重,每一次深吞都能感觉到喉咙的收缩,退出时带出的水线混着唾液,视觉冲击特别强。她偶尔会浮出水面换气,嘴角还挂着水珠,然后再次沉下去继续,节奏掌控得很好。从浴缸出来后她直接把我按在床上,开始做事后按摩。力道不重,却很精准,从肩膀揉到大腿根,专门避开刚刚过度刺激的地方,用掌心慢慢把快感余韵按散。手法专业又带着体贴,明

16 Jul 2026, 10:07 UTC34 viewsread 1 September 2026
Forwarded from @SHDD333

💃老师:#米丽 🤖链接: https://t.me/shanghaidadao/10297 💒位置:#浦东 ------------------ 💌出击报告:服务很全面。我们先玩冰火两重天,她准备了冰块和热水,轮流含在嘴里给我口。冰的时候小嘴冰凉,吸得我一激灵;热的时候又滚烫湿热,强烈的温差刺激爽得我头皮发麻。她舌头在两种温度下都特别灵活,冰火交替玩得我鸡巴又胀又爽。接着她换上高跟情趣内衣丝袜制服,先是空姐制服+黑丝高跟,知性又骚气;后来又换成透明情趣吊带黑丝,骚浪十足。她穿着高跟丝袜跪着给我口,丝袜腿和高跟鞋的搭配视觉特别强。我把她压在床上操得特别狠,撕开丝袜猛干。她被操到高潮连连,穿着制服和高跟的样子特别淫荡。事后她也没闲着,给我做了事后按摩。全身涂油,力道适中,从肩膀按到大腿,特别舒服放松,还边按边用丝袜腿轻轻摩擦我,余韵拉得很长。米丽冰火两重天玩得专业,高跟情趣内衣丝袜制服诱惑力强,事后按摩很贴心,整体服务质量高,体验很

Showing the 12 most recent of 20 posts we hold for @MIli225566. 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.

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.

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.

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 2 September 2026 — this entry's latest reading, not the date you are reading this.

“米丽的后花园” (@MIli225566), 680 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/MIli225566.

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.