Channel
@f9y99
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
28,740subscribers
-245 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001971739324 |
|---|---|
| Type | Channel |
| Username | @f9y99 |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/f9y99 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 07:08 | 28,740 | -65 |
| 12 Aug 2026, 07:42 | 28,805 | -27 |
| 11 Aug 2026, 07:12 | 28,832 | -12 |
| 10 Aug 2026, 08:29 | 28,844 | -67 |
| 9 Aug 2026, 10:32 | 28,911 | -47 |
| 8 Aug 2026, 08:13 | 28,958 | -27 |
| 7 Aug 2026, 09:16 | 28,985 | first reading |
17 posts held, back to 4 August 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 18 pagesof Telegram’s post history, 20 posts per page.
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 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 17 (4 August 2026 – 11 August 2026) |
| Views total | 1,347 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 21:48 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.
Measured directly from 9 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.
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 17 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 4 August 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.
“近日，有关百万粉丝网红“雅典娜Liya”（本名孔丽梅）确认遇害的消息在网络流传，引发广泛关注。 2026年8月11日，宁波公安对此传闻作出官方回应，澄清了案件归属及关键信息的来源，强调并未证实该网红已遇害。 传闻起因与发酵 8月10日，有媒体报道称，网红“雅典娜Liya”已确认遇害，并指称绑架杀害她的主谋是上月从美国被引渡回国的刘某文。报道引用了一张截图，声称截图显示“在宁波公安发布的受害者名单里，有中国网红‘雅典娜Liya’”，这一说法迅速在网络上传播，引发公众对案件细节的猜测和讨论。 宁波公安的官方回应 针对上述传闻，宁波公安于8月11日向媒体作出回应，核心内容如下： 案件非宁波公安办理：宁波警方明确表示，刘某文系列案件及网红“雅典娜Liya”被绑架案，均非宁波公安办理的案件。 关键截图系旧反诈资料：网传的关键截图，实际上是2023年8月16日宁波公安视频号发布的一则反诈宣传片结尾画面。该画面内容为合作网红“燃茶哥…
重庆生化母体开始报复社会了？
8月10日 广西南宁会展航洋城，可怜的小女孩看着母亲被捅
8月10日，上海市松江区大暴雨过后积水严重，导致杜巷小区两人触电身亡。 8月9日 #台风 #暴雨 #触电 上海徐汇区武康路，大暴雨后发生严重内涝，“犹如一片汪洋”。
#频道互推 #相似推荐 ------------------------------ 📢 每日吃瓜🔥内涵段子(世界杯) 📢 吃瓜大妈 - 抖音热搜 📢 每日搞笑吃瓜 📢 吃瓜中心 📢 吃瓜诱惑 📢 东南亚新闻吃瓜-猎奇大曝光 📢 搞笑猎奇视频 吃瓜群众 📢 Telegram中文吃瓜 📢 东南亚曝光吃瓜 📢 惠州·「過來嘆杯茶」 ------------------------------ ☁️ 互推入口：@sooo
夫妻恩爱小秘诀 🍉 #聊天记录
#补充 8月7日上午，泰国暖武里府学校枪击事件已致7死15伤，，枪手为一名初中生，疑为自杀，死者还包括3名教师和3名学生 #枪手 #杀人 #枪击案
8月7日，浙江温岭石塘，一家4口台风天带着孩子去海边看海，其中9岁男童被海浪冲走 #溺水
群主偷槟榔被打得头破血流
陕西洛南 抓小三 #砸车
一位上海某大学的网红留学生，可以得到多少年轻女孩的青睐！ #洋麻雀 #亚洲马桶 #easygirl 集美倒贴
很多人在讨论哈兰德女朋友胸部很大 其实你们看的那些，很多都是搞黄的老外女生，故意 P 的，他们压根就不是哈兰德的女朋友….全部在蹭流量 图 1 ：某女网红故意 P 与哈兰德的合影，冒充其女朋友，因为胸部太大，导致很多人以为哈兰德就喜欢胸部大的 图 2 ：哈兰德真正的女朋友，ins 的名称是 Isabella ，有哈兰德官方认证
Showing the 12 most recent of 17 posts we hold for @f9y99. 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 — 688,303 of 1,160,990entries 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.
Named by 3 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“chiguaremen” (@f9y99), 28,740 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/f9y99.
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.