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Channel

小阿俏的美好日常✌️

@wwe89003

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

512subscribers

-6 since we began measuring on 22 August 2026

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

Register entry

Telegram ID-1003147184125
TypeChannel
Username@wwe89003
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded22 August 2026
Last confirmed live24 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 24 August 2026
On Telegramt.me/wwe89003

Growth

51251851522 Aug 2026, 15:30 — 518 subscribers22 Aug 2026, 15:45 — 518 subscribers24 Aug 2026, 01:12 — 512 subscribers22 Aug 2026, 15:3024 Aug 2026, 01:12
3 measurements spanning 1 day, net -6. 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 511–519 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 01:12512-6
22 Aug 2026, 15:45518no change
22 Aug 2026, 15:30518first reading

Engagement

12 posts held, back to 24 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.684%
avg views ÷ 512 subscribers
Avg views / post
3.5
2 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
2
of 12 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 22 August 2026
Posts held12 (24 March 202622 August 2026)
Views total7
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Aug 2026, 15:45 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
15s
Average length
15s

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

22 Aug 2026, 07:49 UTC1 viewsread 22 August 2026
Forwarded from @SHDD333

💃老师:#小阿俏 🤖链接:https://t.me/shanghaidadao/10773 💒位置:#普陀 ------------------ 💌出击报告:刚好看到老师的课表,想着试试瑜伽新体验,事实证明确实不错。位置好找,出地铁口不远,到了老师所在的楼层房间,推门看见老师,人照不大,比照片上好看,身材劲爆火辣,颜值耐看。也不催着开始,坐在沙发上简单聊聊,暖和了之后就起身去洗澡擦干,老师看到会主动递纸巾。随后到床边进入口,口的不错,完全没有齿感,差点就交货了,赶忙让老师抬起来了后入,视角无敌,手感软嫩,光滑。传教士的时候摸了摸🐻,纯天然手感舒服,很软绵。最后冲刺背入,完美释放,随后老师也是陪你洗完擦干。老师细节还行,适合御姐型狼友。

24 Jul 2026, 10:58 UTC24 viewsread 22 August 2026
Forwarded from @SHDD333

💃老师:#小阿俏 🤖链接:https://t.me/shanghaidadao/10773 💒位置:#普陀 ------------------ 💌出击报告:花洒一开,小阿俏就拉着我进了浴室。热水没过身体后,她先用自己湿透的身子做漫游,胸口、小腹、大腿内侧轮流贴上来缓慢磨蹭,水液混着体温在皮肤上滑开。她本身水多多,光是这样磨就已经湿得厉害,浴缸里的水都变得有些滑。水中箫是在漫游做到一半时自然开始的。她低头把整根含进水里,口腔和热水一起包裹,吸吮时有细小气泡往上冒。因为水的浮力,她的动作变得又慢又重,每一次吞到底都能感觉到喉咙的挤压。从浴缸出来后她没有擦干,直接用还带着水珠的脚做足交。脚心柔软,上下摩擦的力度刚好,脚趾还会轻轻夹紧。水多多的身体让整场都带着湿意,脚上的水混着她自己的水,触感又滑又密。水中箫的深度、漫游时的身体磨蹭、足交的技巧,再加上她水多多的体质,整场从进浴缸到结束都几乎没干过。她最后坐在浴缸边缘,头发还在滴水,腿

21 Jul 2026, 09:32 UTC20 viewsread 22 August 2026
Forwarded from @SHDD333

💃老师:#小阿俏 🤖链接:https://t.me/shanghaidadao/10773 💒位置:#普陀 ------------------ 💌出击报告:小阿俏带着一股清纯又骚气的小女人味,让人一见就心痒。服务亮点是她的水中箫。在浴室里水流冲着,她跪在我面前,湿漉漉的头发贴在脸上,嘴巴又热又软,含着鸡巴一边吞吐一边用水舌翻搅,那种水温、口温和舌技结合在一起的刺激,爽得我直接腿软。水中深喉特别带感,水声、吸吮声混在一起,视觉冲击力极强,她还很会用眼睛向上看我,骚劲十足。前戏的调情也做得特别到位,不急不躁,从亲吻、耳语、抚摸到全身舔吻,慢慢把我撩拨得欲火焚身。她的手和嘴巴特别会配合,轻轻咬耳垂、舔脖子、用奶子磨蹭,情话也说得又甜又浪,把气氛炒得火热。真正爱爱的时候,她紧致又多水,包裹感一流。各种姿势都配合得很好,尤其是骑乘位,自己主动扭腰摇臀,里面一缩一缩吸得很带劲,叫声又软又媚,听得人血脉喷张。我几次猛烈冲刺,她都紧紧抱住我,

14 Jul 2026, 15:06 UTC26 viewsread 22 August 2026
Forwarded from @SHDD333

💃老师:#小阿俏 🤖链接:https://t.me/shanghaidadao/10773 💒位置:#普陀 ------------------ 💌出击报告:整体体验舒适又刺激,服务质量很高!小阿俏年龄看起来很年轻(05左右),身材娇小玲珑,胸部D杯饱满挺翘,皮肤细嫩白皙,带着一股青春甜美的气息。酒店位置方便,环境干净私密。服务以漫游开始,她手法轻柔细腻,从头部到全身慢慢游走按摩,特别注重敏感带,边按边亲吻舔弄,挑逗得我全身发热,氛围逐渐升温。足交环节是她的特色项目。她脚型秀气,脚趾灵活,用脚掌和脚心夹住我上下套弄,配合润滑液后触感顺滑又独特,视觉上也极具诱惑力,足技熟练,让人爽感不断。 进入正戏后水多多的特点完全展现。她下面分泌特别充足,又湿又滑,插入后水声明显,包裹感强且容易高潮。整个过程她叫声甜美,主动抬腿、扭腰配合,体力不错,玩得比较激烈也没有喊停。 小阿俏服务态度温柔听话,眼神勾人,聊天时软软糯糯的很舒服。卫生措施做得

5 Jul 2026, 11:24 UTC39 viewsread 22 August 2026
Forwarded from @SHDD333

💃老师:#小阿俏 🤖链接: https://t.me/shanghaidadao/9552 💒位置: #普陀 ------------------ 💌出击报告:今天刚好看到老师的课表,想着试试瑜伽新体验,事实证明确实不错。位置好找,出地铁口不远,到了老师所在的楼层房间,推门看见老师,人照不大,比照片上好看,身材劲爆火辣,颜值耐看。也不催着开始,坐在沙发上简单聊聊,暖和了之后就起身去洗澡擦干,老师看到会主动递纸巾。随后到床边进入口,口的不错,完全没有齿感,差点就交货了,赶忙让老师抬起来了后入,视角无敌,手感软嫩,光滑。传教士的时候摸了摸🐻,纯天然手感舒服,很软绵。最后冲刺背入,完美释放,随后老师也是陪你洗完擦干。老师细节还行,适合御姐型狼友。

2 Jul 2026, 09:49 UTC38 viewsread 22 August 2026
Photo

气死了,气死了,昨晚本来都要睡了,怎么会有这种人约的11点多,然后到现在还没到也不回消息

Showing the 12 most recent of 12 posts we hold for @wwe89003. 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 — 608,979 of 1,620,105entries 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.

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

“小阿俏的美好日常✌️” (@wwe89003), 512 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/wwe89003.

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.