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Channel

拱墅蓉蓉频道

@rongrong941

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

170subscribers

+0 since we began measuring on 24 September 2026

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

Register entry

Telegram ID-1003899387279
TypeChannel
Username@rongrong941
Descriptionhttps://t.me/rongrong9489 群聊 双向 @lili941201bot
CreatedBetween 1 February 2026 and 30 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded24 September 2026
Last confirmed live24 September 2026
Measurements held2
On Telegramt.me/rongrong941

Growth

17024 Sept 2026, 21:47 — 170 subscribers24 Sept 2026, 22:22 — 170 subscribers24 Sept 2026, 21:4724 Sept 2026, 22:22
2 measurements taken within a single day. 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 169–171 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Sept 2026, 22:22170no change
24 Sept 2026, 21:47170first reading

Engagement

16 posts held, back to 11 September 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
344.6%
avg views ÷ 170 subscribers
Avg views / post
586
12 posts measured
Reaction rate
0.062%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 2 of 12 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 24 September 2026
Posts held16 (11 September 2026 – 24 September 2026)
Views total7,030
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 22:22 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
6
Videos
2
Links
7

Lifetime counters from Telegram’s own channel header, read 24 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
32s
Average length
32s

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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1100.0%

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 2 of the 16 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 11 September 2026 to 24 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

24 Sept 2026, 10:36 UTC99 viewsread 24 September 2026
Forwarded from @THbaogao1

探花楼(杭州最真实的出击交流群) 【探花时间】:2026-09-24 【老师艺名】:蓉蓉 【探花留名】:Revox 【人照打分】:8 【身材打分】:9 【服务打分】:9 【态度打分】:9 【环境打分】:8 【综合评分】:8.6 【体验详细】:身材不错仍子大屁股翘,有肉感但是不算胖。没有陪浴,自己洗完让老师穿上白丝,然后就是背面按摩服务,这个价位还带按摩很良心了。接着正面服务,口起来很舒服没有齿感,但也不会很深,口的硬邦邦了就戴上小雨伞。背对我女上位,老师撅起屁股上下运动,躺着就能看到肉棒在老师的小穴里进进出出非常刺激,接着又换了两三个姿势,最后后入抓着老师的大屁股疯狂冲击出货。这个价位有服务身材还不错的很少了。 杭州探花楼已认证老师榜

22 Sept 2026, 04:57 UTC316 viewsread 24 September 2026

探花楼(杭州最真实的出击交流群) 【探花时间】:2026-09-21 【老师艺名】:蓉蓉 【探花留名】:哦屁屁 【人照打分】:9 【身材打分】:8 【服务打分】:9 【态度打分】:9 【环境打分】:8 【综合评分】:9 【体验详细】:老师科室在西文街附近一个老小区,离地铁有点路程,应该是比较安全,安全第一。老师本人和照片差别不大,照片有一点美颜,本人比较耐看,说话也很温柔。自助洗浴会帮忙擦身体。老师按摩有一手,会先给全身按摩放松,激活下身体。口的比较舒服,过程中比较会把握节奏,不会想让你快点出来,该有的服务都有。挺好,不考虑价格都是刷流氓, 杭州探花楼已认证老师榜

18 Sept 2026, 04:00 UTC677 views1 reactionsread 24 September 2026
Forwarded from @THbaogao1

探花楼(杭州最真实的出击交流群) 【探花时间】:2026-09-17 【老师艺名】:蓉蓉 【探花留名】:云杨 【人照打分】:9 【身材打分】:10 【服务打分】:10 【态度打分】:10 【环境打分】:9 【综合评分】:9.6 【体验详细】:之前刚关注了老师的频道,看了里面的视频就想着去,刚好群里有拼团,直接拿下前往。教室在一个老小区里面,门禁都很方便,一进门老师就穿了粉色制服等候了,马上就交了水费冲洗一下就开始服务了。不得不说老师的按摩还是有手法的,下了班过去按一会就舒服了,后面课表上的服务也都有,老师口的也很舒服,做的时候也会听你更换姿势,水很多,人也很骚,后续应该还会去二刷! 杭州探花楼已认证老师榜

❤1

15 Sept 2026, 09:11 UTC948 views0 reactionsread 24 September 2026
Forwarded from @tanhua888bot

探花楼(杭州最真实的出击交流群) 【探花时间】:2026-09-15 【老师艺名】:蓉蓉 【探花留名】:jackhu 【人照打分】:10 【身材打分】:9 【服务打分】:10 【态度打分】:10 【环境打分】:9 【综合评分】:9.6 【体验详细】:早就听闻蓉蓉老师服务很好,看到有优惠后便果断拿下。与老师约好时间后,来到所在小区。小区是老小区,出入很方便,位置好找,安全系数高。初见蓉蓉老师,很有亲和力,有点姐姐的感觉,说话非常温柔。当时老师穿着一套粉色qqny,加上性感的身材,也是一下来了感觉。洗浴过后,老师帮忙擦水,便进入服务。老师写的服务内容都有,只是我不太喜欢毒龙,所以就没有要,让老师给我多按摩了一会。老师是会所出来的,所以按摩技巧还是很好的,手法很专业,按完以后身体很放松,也非常舒服。感觉老师很会舔耳朵那里,舔的时候整个身体一阵酥麻,让小狼有种想马上开干的感觉。进入A面,开始非常细致的口,老师口的很温柔,完全没有齿感,…

14 Sept 2026, 04:43 UTC≈1,110 viewsread 24 September 2026
Forwarded from @tanhua888bot

探花楼(杭州最真实的出击交流群) 【探花时间】:2026-09-14 【老师艺名】:蓉蓉 【探花留名】:小旋风 【人照打分】:10 【身材打分】:9 【服务打分】:9 【态度打分】:9 【环境打分】:9 【综合评分】:9.2 【体验详细】:刷群看到老师是我喜欢的类型,于是约课前往,见面满意本人比照片好看的多,标准的气质小少妇,愉快交了水费,帮洗澡后上床老师先给我做了一下按摩放松,这个好评,一下子就舒缓了赶路的疲惫,老师身材很好然,先开始背面服务,很有耐心,口活一级棒,老师胸大摸起来很舒服,人工白虎穴很紧,水很多,抽插起来紧握着的感觉很好,做爱姿势都很配合,最后在一阵老师的摇晃中射出,事后老师也没催着走,闲聊了一些家常,是一位值得多去的好老师,推荐品尝 杭州探花楼已认证老师榜

Showing the 12 most recent of 16 posts we hold for @rongrong941. 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 24 September 2026 — this entry's latest reading, not the date you are reading this.

“拱墅蓉蓉频道” (@rongrong941), 170 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/rongrong941.

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.