Telegram RegisterThe public register of Telegram
Telegram profile photo for 漫漫的临时避风港

Channel

漫漫的临时避风港

@mman_88

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

143subscribers

+141 since we began measuring on 6 September 2026

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

Register entry

Telegram ID-1004462096386
TypeChannel
Username@mman_88
First recorded16 September 2026
Last confirmed live16 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/mman_88

Growth

214372.56 September 2026 — 2 subscribers9 September 2026 — 3 subscribers16 September 2026 — 3 subscribers16 September 2026 — 143 subscribers6 September 202616 September 2026
4 measurements spanning 10 days, net +141. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 07:41143+140
16 Sept 2026, 05:223no change
9 Sept 2026, 06:573+1
6 Sept 2026, 11:472first reading

Engagement

19 posts held, back to 10 September 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
290.0%
avg views ÷ 143 subscribers
Avg views / post
415
15 posts measured
Reaction rate
0.169%
reactions ÷ views · ER floor
Posts in window
19
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. It is computed over the 2 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 15 September 2026
Posts held19 (10 September 202615 September 2026)
Views total6,220
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Sept 2026, 05:22 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
1m 03s
Average length
16s

Measured directly from 4 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 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 2 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 10 September 2026 to 15 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

15 Sept 2026, 14:32 UTC97 viewsread 16 September 2026
Photo

Telegram必备的搜索引擎,极速极搜点击开始 jsjs帮你精准找到,想要的群组、频道、视频、音乐 👉 https://t.me/jsjs?start=ref14C7E9C6

15 Sept 2026, 08:24 UTC157 viewsread 16 September 2026
Forwarded from @zh3car

━━━━━━━━━━━━━━ 🌟 老师评价 🌟 ━━━━━━━━━━━━━━ 🏷 1 👤 老师:念念 (@NianNian347) 🔗 主页:https://t.me/zh2car/395 ⭐️ 综合:★★★★★ 5/5 ├ 🎯 技能:★★★★★ 5/5 ├ 💗 情绪:★★★★★ 5/5 ├ 🏡 环境:★★★★★ 5/5 └ 📷 人照:★★★★★ 5/5 📝 评价内容: 课室环境氛围感十足,屋里香香的。老师非常用心,非常健谈,体验真是让人心情大好!感觉特别放松,老师人超好,特别健谈不会冷场,一上来就把气氛搞得热热闹闹的。一起洗个澡,老师口活特别顶爽歪歪哦。感觉更亲近了。上了床,嘿嘿,先是来点小情调,然后就进入主题啦!技巧真是没话说,差点就让我缴械投降了。等到我准备好的时候,直接就进去了。那种被紧紧包裹的感觉,简直太棒了!换成女上位的姿势,哇哦,可以直接欣赏到楚楚的小身材,真是太养眼了!然后我们又换回正常体位,抱着的时候,能

15 Sept 2026, 05:31 UTC192 viewsread 16 September 2026
Photo

【时间】:2026-09-15 【老师】:漫漫 【留名】:终究是错付完了 【人照】:8 【颜值】:8 【身材】:8 【服务】:10 【态度】:10 【环境】:9 【综合】:8.83 【过程】:服务型老师嘛服务那是夯夯的,课表服务都有,配合度高,主动热情,口活相当不错,很会叫床,也很耐桩,快射时按着你的屁股往里顶,感觉超爽。5开里算是不错的了还要啥自行车。

15 Sept 2026, 03:57 UTC188 viewsread 16 September 2026
Photo

坊间闲话听听便罢,不想被他人的言论左右心绪,守好自己的状态就够了。

15 Sept 2026, 02:19 UTC199 viewsread 16 September 2026
Forwarded from @zzbm103

【时间】:2026-09-11 【老师】:漫漫 【留名】:匿名 【评价】:👍 好评 【人照】:8 【颜值】:8 【身材】:8 【服务】:10 【态度】:10 【环境】:10 【综合】:9 【过程】:课表服务一致,全程没有让我主动,不催不偷赖,我本身就很赖不想动的累。可见老师又主动热情似火, 深喉天花板,水中萧+69🐍吻,啪啪的下紧水多多,前后左右都给你调情挑逗,不写一下好评对不起这不服务,身材完全都是长在我的审美上了,进门看第一眼就被颜值吸引,眼睛又大皮肤又白真人真照,本人很耐看型,最难得的身材身高并有,服务态度非常耐心,属于天花板温柔的级别, 真的很值得,值得拥有,会介绍朋友自己也会再来

13 Sept 2026, 03:33 UTC473 viewsread 16 September 2026
Photo

#郑州,上课啦宝贝们,现在可以预约啦😘😘

Showing the 12 most recent of 19 posts we hold for @mman_88. 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“漫漫的临时避风港” (@mman_88), 143 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/mman_88.

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.