刷到一个频道后,通常还想找更多同类入口。 SOSO 精选频道会随机推荐一批已收录频道。 适合继续发现相近内容。
👍1

Channel
@fenhongshequ
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
44,234subscribers
+2,661 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001907253600 |
|---|---|
| Type | Channel |
| Username | @fenhongshequ |
| Description | 商务合作 @wanzaiyingshibot |
| Created | Between 1 March 2023 and 30 November 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/fenhongshequ |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 18:26 | 44,234 | -402 |
| 14 Aug 2026, 09:28 | 44,636 | -339 |
| 13 Aug 2026, 01:36 | 44,975 | -234 |
| 12 Aug 2026, 00:07 | 45,209 | -451 |
| 10 Aug 2026, 22:51 | 45,660 | -213 |
| 10 Aug 2026, 02:25 | 45,873 | -296 |
| 9 Aug 2026, 01:31 | 46,169 | +4,757 |
| 8 Aug 2026, 02:17 | 41,412 | -161 |
| 7 Aug 2026, 17:15 | 41,573 | no change |
| 7 Aug 2026, 17:08 | 41,573 | first reading |
45 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 28 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 17 of 45 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 45 (6 August 2026 – 15 August 2026) |
| Views total | 40,524 |
| Reactions total | 37 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 04:15 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 16 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 37 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.
37 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 51.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 19 | 51.4% | |
| 👍 | 15 | 40.5% | |
| 🔥 | 3 | 8.11% |
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 17 of the 45 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 37reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 6 August 2026 to 15 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.
刷到一个频道后,通常还想找更多同类入口。 SOSO 精选频道会随机推荐一批已收录频道。 适合继续发现相近内容。
👍1
东北精神小伙 逗路边卖艺的大妈 #主播 笑死了 大妈什么货色值500🤣🤣🤣
🔥3
8月10,上海松江,,暴雨淹没,电死一对父子,心碎瞬间!!
故宫 拉屎 ?老外也不惯着他
才吃几年饱饭 这些人闲的屁慌 #给狗办婚礼
#精神小妹 崩老头奔现了~
👍2
云南亏的最惨别墅群,春城海岸 #烂尾中国
👍1
黑哥们都懵了,没想到坐在路边都能有女孩来搭讪?这里是他的天堂!
👍5
#平南中影南方影院霸凌事件 🍉
👍1
大哥满心欢喜 网上约了妹子 打扮精致漂亮 没想到是个 #TS 气的大哥发网上🤣🤣🤣
👍1
女孩的父亲是在姑姑家聚餐喝酒后离世,当时她在国外,姑姑就着手火化遗体。她对死因存疑,向警方申请尸检,要求遗体冷冻等候尸检,警察也到殡仪馆要求不得擅自处理,但是遗体还是被处理了。 #厦门 #福泽园 #豪门恩怨 #非正常死亡
8月10,香港🇭🇰薄扶林碧瑶湾,,直击男子持刀随机伤人,多名保安员惊险围截...。 #吃瓜 #外籍人员
Showing the 12 most recent of 45 posts we hold for @fenhongshequ. 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“奇闻趣事|抽象热点|猎奇吃瓜” (@fenhongshequ), 44,234 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/fenhongshequ.
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.