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Channel
好奇喵(沙雕猎奇)
@gaoxiaoqipa
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
26,536subscribers
-778 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001479826731 |
|---|---|
| Type | Channel |
| Username | @gaoxiaoqipa |
| Description | 趣味 沙雕 猎奇在线旅游 猫猫狗狗 本频道主更内容: #吃瓜 #明星 #网红 #黑料 #泄密 #爆料 本频道内容均为网传和投稿,各位瓜友真假自辩,请理性吃瓜! 今日全网曝光频道 @yz014 吃瓜搞笑猎奇 @gaoxiaoqipa 聊天吹水群: @TG00689 投稿 商务: @ace5858 |
| Created | Between 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/gaoxiaoqipa |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 05:26 | 26,536 | -494 |
| 14 Aug 2026, 18:36 | 27,030 | +749 |
| 13 Aug 2026, 06:54 | 26,281 | -226 |
| 12 Aug 2026, 07:12 | 26,507 | -250 |
| 11 Aug 2026, 05:38 | 26,757 | -289 |
| 10 Aug 2026, 09:10 | 27,046 | +299 |
| 9 Aug 2026, 10:01 | 26,747 | -144 |
| 8 Aug 2026, 11:26 | 26,891 | -375 |
| 7 Aug 2026, 14:20 | 27,266 | -48 |
| 7 Aug 2026, 10:45 | 27,314 | first reading |
Engagement
251 posts held, back to 7 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 23 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.028%
- avg views ÷ 26,536 subscribers
- Avg views / post
- 7.4
- 251 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 251
- of 251 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.
| Window | Rolling 30 days · latest post in window 16 August 2026 |
|---|---|
| Posts held | 251 (7 August 2026 – 16 August 2026) |
| Views total | 1,849 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 17:21 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
- Photos
- ≈42,100
- Videos
- ≈39,500
- Links
- ≈30,200
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.
- Video runtime
- 2h 50m
- Average length
- 54s
Measured directly from 190 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.
Recent posts
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8月14日,北京八十中一名毕业学生在社交平台发布视频,实名举报其高三班主任兼英语老师高蕊,称其在任教期间对多名学生实施语言霸凌,致多名同学患上抑郁症状甚至休学。 举报人表示,此前已向学校及教育局多次反映,但涉事教师未受到相应惩处,目前仍继续担任新高一班主任。相关维权及爆料帖子在发布后被频繁打压删除。 随着事件发酵,有多名自称是该校往届学生或家长的网友也在评论区发声。有往届学生表示,该教师早在初中时期就曾煽动学生孤立特定同学,包括进行区别对待、PUA、辱骂以及要求“午休时间不允许上厕所”等等,导致其出现严重躯体化症状。 有家长提到,自家孩子路过该教师教学楼层时经常听到其怒吼,学生之间也反映常遭其训斥。 关注好奇喵频道➡️ @gaoxiaoqipa 投稿: @ace5858
Showing the 12 most recent of 251 posts we hold for @gaoxiaoqipa. 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 — 1,354,244 of 1,481,243entries 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.
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“好奇喵(沙雕猎奇)” (@gaoxiaoqipa), 26,536 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/gaoxiaoqipa.
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.