Channel
@simiany
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
8,053subscribers
-295 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1003394795259 |
|---|---|
| Type | Channel |
| Username | @simiany |
| Description | 说出你的秘密 |
| Created | Between 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/simiany |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 05:25 | 8,053 | -231 |
| 8 Aug 2026, 20:01 | 8,284 | -64 |
| 8 Aug 2026, 00:33 | 8,348 | first reading |
40 posts held, back to 6 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 8 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 1 of 40 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 | 40 (6 August 2026 – 11 August 2026) |
| Views total | 1,455 |
| Reactions total | 0 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 16:50 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.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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第一次去找楼凤有什么安全和技巧避坑之类的建议吗
我想问一下为什么出击很快就射了
看守所里有个大神 一年约了七十多个其中有三十多个是未成年因为这个被判了无期，当时跟他学了整套流程 最近用了一下 一个月约了五个良家，而且我是卡颜 不卡颜的话十个都有，撒谎死全家
投稿，有没有知道为啥新注册微信加好友要什么网络身份证号，还要下载公安部的网络身份证APP，这是什么情况，对我约🐔有没有影响，会不会我一约公安部就要抓人了
我在杭州旅居，每天下班回家都会碰到夜店女上班，甚至住同楼层的男人也像是鸭，上半身纹身，胸肌能撑开衬衣那种，有时候也会发现一些小年轻鬼鬼祟祟似乎是来约的。偶尔发现顶美进来，几乎半身裸露那种，我很想去加他们联系方式又不敢，不知道有什么平台没有，其实小飞机上杭州频道也很多，我就是单纯的想在本小区月，小区名字叫范瑾和府，不知道有没有好心人能推荐。
兄弟们熬了通宵没睡，谈了一年多的对象是别人的契约兽，真的是很偶然被我发现她还有个备用机，里面微信小号各种社交软件相册各种自拍跟和不同男人的照片视频，他妈她还不只有一个野男人小号加了一堆，我真是眼瞎栽了，平时挺清纯挺乖结果是这样，我说她咋经常回家还说是恋家，现在想想恶心死了，之前一次怀孕我还以为是我的错结果也他妈是主人的任务，亏了我当时吓不清好吃好喝道歉跑东跑西，她他妈双飞漏出什么都被玩，我现在难受的心脏疼我真的没想到知人知面不知心，之前做的时候我说水怎么有时候嫩多他还说是她太想了，我他妈真要吐了，兄弟们以后谈恋爱一定要查查对象有没有瞒着你的备用机备用手机号
Showing the 12 most recent of 40 posts we hold for @simiany. 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 — 76,274 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 81 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“私密树洞社区 simi sucai taotu Hello_Gpt168 Look_world1688” (@simiany), 8,053 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/simiany.
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.