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Telegram profile photo for 浦东如陌

Channel

浦东如陌

@rumo888999

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

2,992subscribers

+44 since we began measuring on 8 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002041318373
TypeChannel
Username@rumo888999
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 September 2026
Last confirmed live19 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/rumo888999

Growth

2,9482,9922,9708 September 2026 — 2,948 subscribers10 September 2026 — 2,968 subscribers14 September 2026 — 2,977 subscribers19 September 2026 — 2,992 subscribers8 September 202619 September 2026
4 measurements spanning 11 days, net +44. 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 2,941–2,999 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 05:152,992+15
14 Sept 2026, 10:402,977+9
10 Sept 2026, 20:372,968+20
8 Sept 2026, 08:222,948first reading

Engagement

16 posts held, back to 3 August 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.7%
avg views ÷ 2,992 subscribers
Avg views / post
410
3 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
3
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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 September 2026
Posts held16 (3 August 20267 September 2026)
Views total1,231
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Sept 2026, 08:22 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

11 reactions across 7 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11100.0%

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 10 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 11 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 3 August 2026 to 7 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

7 Sept 2026, 08:38 UTC323 viewsread 8 September 2026
Photo

💃艺名:如陌 ✈️资料:https://t.me/shxyls/29128 ⛳️位置: #浦东新区 🙍‍♂️学生:屌柒你 ———————————————— 如陌的服务里有一项是专门练过的高潮把控,这次就重点体验了这个。如陌先用舌技慢慢引导,力度时轻时重,观察反应特别仔细,快到临界点就故意放缓,反复几次把感觉吊得很高。后面转正式的时候如陌也一直盯着表情,适时加快或放慢,全程都在引导节奏而不是自己瞎用力。如陌看她一眼就觉得一股骚劲儿 说她浦东第一舔不为过!好奇如陌咋那么会玩 ,这样那样招,身段也没得说!摸起来滑溜溜哒!自从找过她也就不敢试别个老师!服务感觉非常值,如陌的服务频道都有!其实光看都能让人兴奋!现场体验更是震撼,心满意足的回家!又能睡上美美的一觉啦

19 Aug 2026, 12:52 UTC≈2,060 views1 reactionsread 8 September 2026
Photo

今天课满咯,明天白天包了晚上八点后空,关键我有时候不回复是真的没注意,不是故意的😂

1

17 Aug 2026, 07:00 UTC≈2,250 views1 reactionsread 8 September 2026
Forwarded from @shxhjpzy

#如陌 #浦东 老师榜单:https://t.me/shkccj/20563 老师和频道一样,前凸后翘。熊和臀很丰满,很自然协调,很健谈,口活很认真卖力,节奏把控非常到位,然后就带套,传教士起手,紧紧夹住了我的小兄弟,差点就要被秒了,特别说一下老师的大屁股,又大又白又有肉,逼紧水多,最后对着蜜桃臀强烈抽插下结束了战斗,总之老师性格很好,态度好服务又好,女友感满满的,非常真实不做作,有机会我还会返的

1

8 Aug 2026, 07:33 UTC≈2,210 views1 reactionsread 8 September 2026
Photo

课说不满意会走,我也不知道我哪根筋不对让他来了,幸亏结果是满意的🤣还想给小费,我说写评论一样的、

1

7 Aug 2026, 08:18 UTC≈2,230 views1 reactionsread 8 September 2026

【时间】:2026-08-07 【老师】:如陌 【留名】:SKA 【人照】:9 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:9 【综合】:9.33 【过程】:非常热情,进门就不端着,聊两句就进入状态。胸推时老师调整位置和节奏,夹得不紧不松,偶尔抬头看一眼,力度拿捏得刚好,过程自然有感觉,不敷衍。接着转到69,老师会换角度,呼吸越来越重,动作跟得上,时不时用舌尖配合,完全不生硬。后面直接进入做爱,床上全套服务认真,姿势随便换老师都跟着动,腰主动迎合,力度速度控制得准,活好是真的,连贯到最后都不散。老师是兼职自聊的,态度很好,会伺候、配合度高,过程顺畅,下次有空还会再约的。 【狼友大队】:点击入群

1

Showing the 12 most recent of 16 posts we hold for @rumo888999. 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.

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

“浦东如陌” (@rumo888999), 2,992 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/rumo888999.

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.