https://t.me/laoahihaixuan/26040

Channel
Kiki的频道
@landimumu_0818
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,307subscribers
+299 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003797483599 |
|---|---|
| Type | Channel |
| Username | @landimumu_0818 |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 18 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 18 August 2026 |
| On Telegram | t.me/landimumu_0818 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Aug 2026, 06:52 | 1,307 | +57 |
| 15 Aug 2026, 01:12 | 1,250 | +59 |
| 11 Aug 2026, 15:22 | 1,191 | +165 |
| 8 Aug 2026, 11:43 | 1,026 | +18 |
| 8 Aug 2026, 07:00 | 1,008 | no change |
| 8 Aug 2026, 06:53 | 1,008 | first reading |
Engagement
20 posts held, back to 26 July 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 79.8%
- avg views ÷ 1,307 subscribers
- Avg views / post
- 1,040
- 20 posts measured
- Reaction rate
- 0.081%
- reactions ÷ views · ER floor
- Posts in window
- 20
- of 20 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 7 of 20 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 20 (26 July 2026 – 8 August 2026) |
| Views total | 20,860 |
| Reactions total | 7 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 07:00 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 39s
- Average length
- 20s
Measured directly from 5 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
7 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 57.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 57.1% | |
| 💩 | 1 | 14.3% | |
| 😁 | 1 | 14.3% | |
| 😍 | 1 | 14.3% |
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 7 of the 20 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 7reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 26 July 2026 to 8 August 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
看到一个新上线的混血小姐姐,一下子被她吸引了,于是就约,成功约到后火急火燎的奔赴。刚见面的时候真的就被惊讶到了,kiki小姐姐拥有天使一般的脸庞,充满了异域风情,气质优雅、知性,身材前凸后翘,比我预想的还要美,看的我血脉喷张,心跳砰砰的。果断选择加钟。刚一见面,kiki小姐姐便主动向我献上热吻,我也在小姐姐身上上下其手。胸很大,捏过去软软的,我就酥了。我们简单聊几句后小姐姐就帮我脱衣服,我也帮她脱衣服,互相一览无余,kiki小姐姐的的s型曲线,大长腿、丰满的胸、精致的脸和完美的车灯全都是我欣赏的,随后牵着我的小jj进了浴室,给我全身上下洗了一遍,洗完后,kiki小姐姐蹲下来,认真的含着我的小jj,包裹的感觉很好,没有齿感,很快就有一股暖流直冲脑门,不一会儿就受不了了,小姐姐温馨的给我带上小雨伞,我们就在浴室迫不及待的,站着就来小姐姐最喜欢的后入,对着小姐姐的翘臀来一顿猛冲,我很快就交待了。随后我和小姐姐转移战场,躺在床上聊了会儿…
今天7.30后才可以约哦……
可以可以……
💩1😍1
死骗子,去死~
今天继续开课啦……
太累了,休息一天,明天继续开课……
一直都在哦……
不抱怨,一直在努力的好好生活……
【艺名】:Kiki 【价格】:1800p 【位置】:闵行区 【联系方式】:@wx081179 【身材样貌】:S 【服务过程】:遥控上了楼,开门一看,身材高挑妩媚,🐻真大 天然巨乳 很柔软,人也很nice 健谈,🐍吻也大方管够,聊了一会,就一起洗澡然后进入正题。感受了一下巨乳,再感受了一下Is的口活,就硬了,来感觉了,带上小雨伞就开始进入正题,本来已经够硬了 没想到一进入老师身体,感觉到更深的包裹性和温度后,越发感觉到自己的挺拔和滚烫,堵上Is的嘴,舌吻在缠绕,加上她配合的呻吟 让想要换两个姿势的我改变了主意,通过抽插节奏的快慢来感受她身体的律动,突然的加速让她的腰肢扭动的更厉害 呻吟也越来越大,快速的喘息声中,出货了,帮我擦了擦身体再聊了聊,发现还有落地镜子看着让她换上的黑色吊带,顿感后悔没有多试几个刺激的姿势,完事儿后聊了会天,确实是个不错的女孩子,配上这个价格,简直无敌,洗完澡后拥吻告别,相约下次再来试试其他的姿势。 标签…
❤1
每天努力工作,也要好好吃饭哦……
一直在在搬砖……
❤1
Showing the 12 most recent of 20 posts we hold for @landimumu_0818. 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 — 377,512 of 1,548,671entries 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 2 registered channels — 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 18 August 2026 — this entry's latest reading, not the date you are reading this.
“Kiki的频道” (@landimumu_0818), 1,307 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/landimumu_0818.
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.