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Telegram profile photo for UU的朋友圈

Channel

UU的朋友圈

@uumml02

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

916subscribers

+2 since we began measuring on 4 November 2026

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

Register entry

Telegram ID-1004437721048
TypeChannel
Username@uumml02
CreatedBetween 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded4 November 2026
Last confirmed live4 November 2026
Measurements held2
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/uumml02

Growth

9149169154 Nov 2026, 19:22 — 914 subscribers4 Nov 2026, 20:41 — 916 subscribers4 Nov 2026, 19:224 Nov 2026, 20:41
2 measurements taken within a single day, net +2. 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 914–916 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
4 Nov 2026, 20:41916+2
4 Nov 2026, 19:22914first reading

Engagement

15 posts held, back to 26 October 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
111.1%
avg views ÷ 916 subscribers
Avg views / post
1,020
15 posts measured
Reaction rate
0.086%
reactions ÷ views · ER floor
Posts in window
15
of 15 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 9 of 15 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 4 November 2026
Posts held15 (26 October 2026 – 4 November 2026)
Views total15,262
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 19:22 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

Video runtime
13s
Average length
4s

Measured directly from 3 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

8 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 87.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤787.5%
👏112.5%

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 9 of the 15 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 26 October 2026 to 4 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 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).

4 Nov 2026, 12:06 UTC323 views1 reactionsread 4 November 2026

【广深报告】 [https://t.me/QMqun] 【所在位置】:白云 【老师艺名】:UU 【联系方式】:@uumml01 【验证留名】:紫茶 【验证时间】:11.4 【课程打赏】:500 【颜值身材】:大胸御姐 【服务内容】:课表 【服务态度】:9 【优点缺点】:大胸,口活可以,小穴紧,女友感 【推荐程度】:8.5 【体验细节】: 进门看到UU老师,身材不错,大胸翘臀,先交水费,接着就是洗澡,帮忙擦干后到床上开始服务,胸推一会,搞得我痒痒的,接着开始口,先蛋蛋舔到弟弟,口活可以。弟弟很快有感觉,慢慢变硬,戴套进入,老师主动要求先在上面。想不到是真紧呀,我怕被秒了,就换了后入,屁股肉挺紧致,手感很舒服,不由自主的想拍打两下。继续让她躺着,看着魅惑的眼睛,听着刺激的叫床声,不断的加速,直接就出货了。休息时还送来一杯水缓解疲劳,躺边上聊着有的没的不会催你,情绪价值非常到位,缓的差不多了就简单冲洗撤退 温馨提示:报告仅供参考 注:…

❤1

4 Nov 2026, 06:55 UTC372 views0 reactionsread 4 November 2026
Forwarded from @GCCITYPhoto

地区:#白云 艺名:UU 验证:视频报日期验证 课表:500/1 TG :@uumml01 标签:#嫩妹 #制服 #鸳鸯浴 PS:课后请在下方评论反馈 👍报告撰稿 🗣加入白嫖 👉点此预约白云UU 报告奖励200 分

3 Nov 2026, 13:55 UTC606 viewsread 4 November 2026
Video

明天下午两点来了💑可以提前预约😘😘🌇

31 Oct 2026, 09:21 UTC984 views0 reactionsread 4 November 2026
Forwarded from @GZNMMTL

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】UU 【联系方式】@uumml01 【所在位置】白云 【验证留名】李锦记 【验证时间】10.29 【修车费用】500p 【颜值身材】大胸 【服务内容】洗吹做,69,胸推 【服务态度】好 【优点缺点】胸大翘臀,口活舒服,风骚,姿势配合 【推荐程度】9分 【体验细节】约好UU老师课,身材丰满,熊大手感好,口的很酥麻,可以满足提出的所需,插入有阻塞感,女上带劲,非常自然舒服,嘴里也一直淫叫着,很乖很听话,换姿势配合,后入大屁股,弹性好,很顺利的出货,也不着急让洗澡离开,说还有时间,就赤裸着依偎在一起,聊天很自然,待人周到又懂事,愉快的结束了这次cj之旅,肯定还会再来的,非常喜欢这种大胸御姐。 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 👎🏿府上专员严查假报告!写手代谢出门右转! 报告提交:@Chenyaoyao1_bot

29 Oct 2026, 12:49 UTC≈1,270 views0 reactionsread 4 November 2026
Photo

受伤了,宝宝对不起了,要休息三天!

29 Oct 2026, 10:20 UTC≈1,220 views2 reactionsread 4 November 2026

【广深报告】 [https://t.me/QMqun] 【所在位置】:白云 【老师艺名】:UU 【联系方式】:@uumml01 【验证留名】:匿名 【验证时间】:10.29 【课程打赏】:500 【颜值身材】:大胸御姐 【服务内容】:课表服务 【服务态度】:好 【优点缺点】:大胸,口活好,情绪价值到位,姿势配合 【推荐程度】:8.5 【体验细节】: 到了地方,UU老师开门确认是本人,身材丰满,胸大翘臀,坐在沙发上简单聊了几句,人挺开朗,气氛也不尴尬。 洗完澡上床后,老师先给我口,技巧不错,又湿又有节奏,确实舒服。顶不住的时候直接让她躺下,开始反方向的69。老师很敏感,被舔的时候会小声呻吟,身体还会轻轻发抖。前戏结束后正式开始,先用传教士。下面水多,能听到明显的水声。可能最近状态一般,没多久就有点体力不支,换成她趴着,我从后面贴上去,一只手揉着她的大胸,另一只手托着下巴让她侧过头来吻,下面继续抽送。老师全程都很配合,大概冲了十来分…

❤1👏1

29 Oct 2026, 10:10 UTC≈1,090 views2 reactionsread 4 November 2026

【广深报告】 [https://t.me/QMqun] 【所在位置】:白云 【老师艺名】:UU 【联系方式】:@uumml01 【验证留名】:匿名 【验证时间】:10.29 【课程打赏】:500 【颜值身材】:大胸御姐 【服务内容】:课表服务 【服务态度】:好 【优点缺点】:大胸,口活好,情绪价值到位,姿势配合 【推荐程度】:8.5 【体验细节】: 到了地方,UU老师开门确认是本人,身材丰满,胸大翘臀,坐在沙发上简单聊了几句,人挺开朗,气氛也不尴尬。 洗完澡上床后,老师先给我口,技巧不错,又湿又有节奏,确实舒服。顶不住的时候直接让她躺下,开始反方向的69。老师很敏感,被舔的时候会小声呻吟,身体还会轻轻发抖。前戏结束后正式开始,先用传教士。下面水多,能听到明显的水声。可能最近状态一般,没多久就有点体力不支,换成她趴着,我从后面贴上去,一只手揉着她的大胸,另一只手托着下巴让她侧过头来吻,下面继续抽送。老师全程都很配合,大概冲了十来分…

❤2

27 Oct 2026, 12:37 UTC≈1,410 views1 reactionsread 4 November 2026

【广深报告】 [https://t.me/QMqun] 【所在位置】:白云 【老师艺名】:UU 【联系方式】:@uumml01 【验证留名】:野狼王 【验证时间】:10.27 【课程打赏】:500 【颜值身材】:身材不错 【服务内容】:课表服务 【服务态度】:好 【优点缺点】:大胸,穴紧,口活舒服,服务态度好 【推荐程度】:9 【体验细节】: 一进门UU妹妹穿着修身的包臀裙坐在沙发上 看上去很羞涩腼腆 一开始我还不信以为我朋友说妹妹线下比线上照片更年轻漂亮是假的 我自己过去后才知道是真的 本人线下确实比线上漂亮年轻 洗完澡后妹妹的小嘴巴开始吮吸我的龟头 经过俩天得知妹妹是刚开始做 所以经验不是很足 嘴巴小小的含住很舒服 变滑后妹妹给我戴上套套 就开始做 妹妹的皮肤很滑嫩 逼逼很紧实 后入的时候逼逼夹的特别紧 体验感拉满 像女朋友一样听话 逼逼很香很软 舔起来很滑很嫩 这次我真是捡到宝贝了 下个月还会去 …

❤1

27 Oct 2026, 10:25 UTC≈1,170 viewsread 4 November 2026
Forwarded from @GZGreatReport

胸不巨何以聚人心 https://t.me/+e9b5nbURD143ZTll 💃 艺名:UU 🆔 电报:@uumml01 💒 地点:白云 📆 时间:10月27日 💸 水费:500 🥰 颜值:8.5分 🥰人照几成:8.5 👸皮肤肤色:肤色正常 👙 身材:大胸翘臀 🐻 胸器:D 🐍 舌吻:没有 🚬 抽烟:无 👄口活技术评分:口技还行 ❤️ 态度:态度好 🤭 优点缺点:大胸,情绪价值到位,姿势配合,缺点:有纹身 ✍ 体验过程:UU老师先是很贴心的给了我一瓶矿泉水,然后便依偎在我的旁边,我一边闲聊一边摸着老师的腿,很滑很软交了水费,老师带我去洗澡,有漱口水好评(虽然我提前刷了牙),水中萧很舒服,后面带我进房间,老师换了一套性感的情趣内衣。我躺在床上,老师开始调情,舔咪咪,口弟弟,舔蛋蛋,一套流程都很舒服。然后我提出要69,老师下面很干净,没异味。之前舔别的老师多多少少有点涩涩的,舔两下就受不了了,老师这…

Showing the 12 most recent of 15 posts we hold for @uumml02. 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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“UU的朋友圈” (@uumml02), 916 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/uumml02.

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.