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Telegram profile photo for 奶茶妹妹的频道

Channel

奶茶妹妹的频道

@milkteagirl6

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

4,482subscribers

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

Register entry

Telegram ID-1002861677654
TypeChannel
Username@milkteagirl6
Description私聊老师@milkteagirl07 双向 @milktagirl07_bot
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded27 September 2026
Last confirmed live27 September 2026
Measurements held1
On Telegramt.me/milkteagirl6

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Sept 2026, 02:224,482first reading

Engagement

19 posts held, back to 14 June 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
38.6%
avg views ÷ 4,482 subscribers
Avg views / post
1,730
1 post measured
Reaction rate
0.116%
reactions ÷ views · ER floor
Posts in window
1
of 19 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 19 September 2026
Posts held19 (14 June 2026 – 19 September 2026)
Views total1,730
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 02:22 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
38
Videos
23
Links
6

Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1m 24s
Average length
14s

Measured directly from 6 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

80 reactions across 12 posts, in 5 distinct kinds. The most used accounts for 71.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5771.3%
👍1923.8%
🔥22.50%
💩11.25%
😁11.25%

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 14 of the 19 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 80 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 14 June 2026 to 19 September 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

19 Sept 2026, 06:02 UTC≈1,730 views2 reactionsread 27 September 2026
Video

宝子们,谢谢大家对我伤势的关心。目前在老家吃得好睡得香。但是心❤️会一直想念你们喔😘

❤2

16 Aug 2026, 00:08 UTC≈7,140 views1 reactionsread 27 September 2026
Photo

再也不骑小黄车了! 要缝针会不会很疼啊? 宝子们短期不能来深圳了 😭😭😭

❤1

5 Aug 2026, 04:45 UTC≈9,350 views3 reactionsread 27 September 2026
Video

暑假就是吃饭睡觉喝奶茶,还有自拍🥰(在老家红休)

❤3

24 Jul 2026, 01:59 UTC≈10,500 views5 reactionsread 27 September 2026
Video

天气辣么热,宝子们想不想来喝杯奶茶呢😘

❤3🔥2

23 Jul 2026, 11:08 UTC≈8,200 views13 reactionsread 27 September 2026
Forwarded from @aixuuxi77Photo

出击📓-东北小甜妹儿奶茶妹妹 https://t.me/milkteagirl6 观察奶茶妹妹很久了一直没有对上时间,终于今天刚好有空,直接预约了一番。 到地方遥控上楼,进门就听到甜甜的声音,奶茶妹妹挺自来熟,主动搭话不尴尬。穿的一席黑色抹胸裙,两颗小白兔一跳一跳的快要飞出来了,人照基本一致,脸上肉嘟嘟,身高不算高165左右,身材肉感刚刚好,(ps报告写bbw的是真没见过bbw吧)长相偏可爱系嫩妹。洗完回到床上妹妹也已经把衣服脱了等我,在我擦身子的时候不停调戏小唧唧,我也忍不住玩弄她的E杯大濑濑。上来妹妹直接口活一番,口技不赖还整的有点小敏感,直接抱过来🐍了一阵,她主动提出来乳交一番,直接屁屁搭她腿上,先拿精油润华一番,然后夹着唧唧一顿揉搓,好家伙这对奶子夹起来雀食舒服,接着还不断撸着小唧唧相当敏感,轻声对我说:其实我很变态的哦。我反问她有多变态,她问我要不要试试被捅的感觉,我寻思就你个小妹妹还能怎么着呢,谁知她拿…

❤12😁1

21 Jul 2026, 12:22 UTC≈6,790 views4 reactionsread 27 September 2026
Video

早睡早起早开课,Good MOrning!🥰

👍4

21 Jul 2026, 06:45 UTC≈6,490 views4 reactionsread 27 September 2026

【极乐报告】 【极乐导航】:@jlmvip 【评价时间】:2026-07-21 【老师艺名】:奶茶妹妹 【老师飞机】:@milkteagirl07 【学生昵称】:无情 伊丽莎白女王 【学生飞机】:@QueenEli1952 【人照评分】:8.5 【颜值评分】:8.5 【身材评分】:9.5 【服务评分】:8.5 【态度评分】:9 【环境评分】:8 【综合评分】:8.67 【过程描述】:进门老师先让洗澡去。洗脚 完成之后。 老师都已经脱光光在床上等了。一头黑长直的长发,老师的身材真的是有E/F上下。 先来正常甜咪咪,一会到口小弟。口得非常细致给力,接近深喉。 然后后面听说可以打奶泡,申请了试试。 用胸夹,配上精油。推的时候爽感特别强,很容易射。 到差不多就正式开始,老师是在上面摇了一会就容易累。 变了女下男上,ls逼真的挺紧,推了几十下之后,就申请换姿式,从后面进,然后配合着老师的语言下,很快就交了功课。 【优点描述】:真胸,可以…

❤4

19 Jul 2026, 04:42 UTC≈5,040 views40 reactionsread 27 September 2026
Forwarded from @juliansexnotePhoto

#奶茶妹妹 🧋 #南山 #深圳 @milkteagirl07 服务:XCZ 🐍纹 69 乳胶绝活 样子身材:人照一致,巨乳嫩妹E/F大🐻,165高,腰腿有肉,但不会胖。 体验: 一直留意老师频道,也有不少大佬出击体验过,这次总于有机会来約课体验一下。 进门人照身材一致,身穿黑色上衣黑色裙子,性格热情,进来就给水我,还有跟有拥抱❤️,我就感觉到两团软软暖暖很大的东西在我胸口里,然后老师掏出两个大胸,露出很惊叹的F🐻,我忍不住先来一个洗面奶,真的很暖很舒服,很久没试过那么大胸的嫩妹。看见我JJ从裤子凸出来,老师还要脱我的裤子看🤭。立马交了水费就去洗澡🛀,那一双大大的F奶,真的很宏伟,奶头乳晕粉粉的,还有大软臀,洗澡🛀时已经全硬,等待被洗🤭。 来到床上,先摸摸大奶,一手根本握不住,然后调情摸摸抱抱,能🐍饱,口水交换很有感觉👅。口活技巧很好,会深喉。然后再来到重头戏,老师那双大胸就是为了乳胶长出来的,乳胶技术很纯熟,乳…

❤25👍15

18 Jul 2026, 09:53 UTC≈5,350 views2 reactionsread 27 September 2026
Forwarded from @szclzBG

茶楼报告( https://t.me/szclzBG ) 【位置艺名】:奶茶妹妹 【联系方式】:@milkteagirl07 【喝茶留名】:jack 【喝茶时间】:7月18日 【喝茶价格】:12p 【芳龄身高】:18 【罩杯手感】:E 【服务内容】:课表有的基本都有 【优点缺点】:总分十分,得分9分左右 【体验细节】:巨乳嫩妹在深圳确实少见,一开始看频道还担心不是本人,课室位置方便没有门禁,推开门看到真人踏实多了,人照一致,E 🐻无科技巨大的很亮眼,乳头粉嫩!服务也不错,口活很棒不喊停会一直口,声音很嗲像台湾妹!到高潮会叫爸爸哈哈,值得二返的体验。 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座。 深圳茶楼报告管理员 @Sanlimi_bot

❤2

18 Jul 2026, 07:11 UTC≈5,280 viewsread 27 September 2026

🔥深圳茶楼不定期举行🧧活动,26年千元现金邀请活动已结束,新年红包活动已结束,四五双节千元活动已结束,端午父亲现金🧧活动已结束,后续活动择日进行~~ https://t.me/vip40f 深圳榜 https://t.me/zhenzhenchalou

15 Jul 2026, 03:59 UTC≈5,660 viewsread 27 September 2026
Video

旅行归来,满血回归开课!✌️✌️✌️

Showing the 12 most recent of 19 posts we hold for @milkteagirl6. 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

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

“奶茶妹妹的频道” (@milkteagirl6), 4,482 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/milkteagirl6.

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.