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Telegram profile photo for 广州 🌸 苏妍希的频道

Channel

广州 🌸 苏妍希的频道

@mantou0060

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

6,203subscribers

-33 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002293240804
TypeChannel
Username@mantou0060
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/mantou0060

Growth

6,2036,2366,219.57 August 2026 — 6,236 subscribers7 August 2026 — 6,236 subscribers10 August 2026 — 6,225 subscribers14 August 2026 — 6,203 subscribers7 August 202614 August 2026
4 measurements spanning 6 days, net -33. 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 6,198–6,241 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 03:086,203-22
10 Aug 2026, 20:236,225-11
7 Aug 2026, 17:016,236no change
7 Aug 2026, 16:486,236first reading

Engagement

22 posts held, back to 28 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
26.0%
avg views ÷ 6,203 subscribers
Avg views / post
1,610
17 posts measured
Reaction rate
0.069%
reactions ÷ views · ER floor
Posts in window
22
of 22 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 17 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 11 August 2026
Posts held22 (28 July 202611 August 2026)
Views total27,414
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:25 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
14s
Average length
7s

Measured directly from 2 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

9 reactions across 6 posts, in 2 distinct kinds. The most used accounts for 88.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
888.9%
🥰111.1%

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 22 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 22 most recent posts we hold, published 28 July 2026 to 11 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

11 Aug 2026, 17:40 UTC133 views0 reactionsread 12 August 2026
Photo

频道适合看内容,群组更适合继续交流。 SOSO 可以直接找热门群组,也能按关键词搜同类圈子。 先打开看看当前推荐。

11 Aug 2026, 10:25 UTC291 viewsread 12 August 2026

#频道互推 #相似推荐 ------------------------------ 📢 广州上门 📢 杭州老师 📢 全国妹妹包养频道 📢 AV糖心麻豆91 📢 郑州摩登女郎 📢 支付宝🟨陌陌⬛soul🟩交友婚恋❤【探探】 📢 南京车神 |【全城精品资源】 📢 『粤青楼』楼凤-课室 📢 上海「沪上皇」私影女仆馆 📢 马鞍山采花 ------------------------------ ☁️ 互推入口:@sooo

9 Aug 2026, 17:30 UTC227 viewsread 10 August 2026
Photo

在 Telegram 里找内容,先打开 SOSO 搜搜。 频道、群组、帖子、贴纸都可以搜;也可以从发现页继续浏览。

9 Aug 2026, 10:15 UTC353 viewsread 10 August 2026

#频道互推 #相似推荐 ------------------------------ 📢 广州上门 📢 杭州老师 📢 全国妹妹包养频道 📢 AV糖心麻豆91 📢 郑州摩登女郎 📢 支付宝🟨陌陌⬛soul🟩交友婚恋❤【探探】 📢 南京车神 |【全城精品资源】 📢 『粤青楼』楼凤-课室 📢 Blued-小蓝-不撸帝-市面最稳定-全网最低 📢 西安洗浴!西安会所!找喜哥 ------------------------------ ☁️ 互推入口:@sooo

7 Aug 2026, 13:47 UTC≈1,170 viewsread 12 August 2026

休息啦,二十多号回 到时再见啦哥哥们

5 Aug 2026, 05:17 UTC≈1,620 views1 reactionsread 12 August 2026
Forwarded from @liehuoniao1024

风花雪月鸟 🍌 累计:224 🧘‍♀️ 编号:179 ⏰ 时间:8月 💒 地点:#天河 猎德地铁B口 💕 艺名:#苏妍希 ✈️ 电报:@xiaomantou0060 💵 价位: #1000P ✅ 优点:中上颜值、皮肤白、女上给力、大蟒蛇、情绪价值高 ❌ 缺点:少量纹身 🕹 评分:SS ✍️ 简评: 人照八成多, 小巧玲珑大胸川妹子,皮肤偏白,服务共浴水中萧,口活很犀利,大蟒蛇,女上技术好,结束后会来床上赔聊下再一起去洗。推荐喜欢御姐的朋友出击! 苏妍希,这个名字我早有耳闻,却直到这次才真正约到。她住的地方很好找,就在CC同一个小区。 路上却有些波折,从越秀赶往猎德,偏偏遇上天河那几处恼人的红绿灯,堵了十多分钟。到达时已略晚,她却十分耐心,笑着说不急。初见真人,人照八成左右:身材小巧却曲线玲珑,典型的御姐脸蛋,胸前丰盈饱满,气质里带着一丝柔媚。 简单聊了几句,氛围很快融洽。一起交了水费,进了浴室。她皮肤

1

4 Aug 2026, 06:36 UTC≈1,730 views1 reactionsread 12 August 2026
Photo

休假倒计时⌛️⌛️ 周五开始休息喽 周三周四还🉑约🌸🌸🌸

1

4 Aug 2026, 04:31 UTC≈1,820 viewsread 12 August 2026
Forwarded from @GZsnyjbgj

【少御报告】https://t.me/GZsnyjhj 【老师艺名】苏妍希 【联系方式】@xiaomantou0060 【所在位置】天河区 【验证留名】拜伦 【验证时间】8月 【修车费用】1000p 【颜值身材】9.0 【服务内容】XCZ+蛇+水中萧 【服务态度】9.5 【优点缺点】御姐、服务不错 【推荐程度】9.5 【体验细节】真人小巧御姐范,胸部丰满C杯,皮肤白嫩手感极佳。浴室里她俯身给我一段湿热口活,技术娴熟。床上她先用唇舌侍奉胸前,随后主动骑乘女上,腰臀有力,紧致湿热,包裹感强。我揉着她饱满双峰,与她深吻缠绵。后来换成传教士和后入,她被撞得娇喘连连,臀浪阵阵。几次体位交替后,最后顺利出水 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 报告提交:@yanlili_bot

30 Jul 2026, 05:59 UTC≈2,790 viewsread 12 August 2026
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💐💐💐开奖了💐💐💐 【骑士团☆ 苏妍希 半价活动】开奖了 本期总参与人数:445 少女币加成数:661 1、小鸭子找妈妈(消息数46 加成数4)获得:半价p 2、天空(消息数23 加成数8)获得:28.8元🧧 3、狗头军师(消息数22 加成数8)获得:28.8元🧧 兑奖请联系 @xiaomantou0060 谨祝中奖用户大吉大利万事如意 更多资讯请关注

Showing the 12 most recent of 22 posts we hold for @mantou0060. 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 — 984,384 of 1,480,688entries 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.

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

“广州 🌸 苏妍希的频道” (@mantou0060), 6,203 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/mantou0060.

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.