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Channel

搞笑视频/吃瓜群众/吃瓜中心

@gaoxiao88

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

22,328subscribers

-1,071 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-1001822974322
TypeChannel
Username@gaoxiao88
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/gaoxiao88

Topic

Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

22,32823,39922,863.57 August 2026 — 23,399 subscribers7 August 2026 — 23,379 subscribers8 August 2026 — 23,342 subscribers9 August 2026 — 23,303 subscribers10 August 2026 — 23,267 subscribers11 August 2026 — 23,210 subscribers12 August 2026 — 23,169 subscribers13 August 2026 — 23,131 subscribers14 August 2026 — 23,111 subscribers16 August 2026 — 23,089 subscribers17 August 2026 — 23,055 subscribers18 August 2026 — 23,022 subscribers19 August 2026 — 23,005 subscribers20 August 2026 — 22,999 subscribers21 August 2026 — 22,969 subscribers23 August 2026 — 22,940 subscribers24 August 2026 — 22,897 subscribers25 August 2026 — 22,899 subscribers27 August 2026 — 22,875 subscribers28 August 2026 — 22,865 subscribers29 August 2026 — 22,847 subscribers29 August 2026 — 22,818 subscribers31 August 2026 — 22,781 subscribers31 August 2026 — 22,751 subscribers1 September 2026 — 22,716 subscribers2 September 2026 — 22,674 subscribers4 September 2026 — 22,644 subscribers6 September 2026 — 22,574 subscribers10 September 2026 — 22,511 subscribers12 September 2026 — 22,471 subscribers14 September 2026 — 22,424 subscribers15 September 2026 — 22,377 subscribers18 September 2026 — 22,328 subscribers7 August 202618 September 2026
33 measurements spanning 42 days, net -1,071. 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 22,167–23,560 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 04:3922,328-49
15 Sept 2026, 22:5922,377-47
14 Sept 2026, 03:3822,424-47
12 Sept 2026, 08:3622,471-40
10 Sept 2026, 05:1522,511-63
6 Sept 2026, 22:2022,574-70
4 Sept 2026, 07:4022,644-30
2 Sept 2026, 21:5222,674-42
1 Sept 2026, 21:3822,716-35
31 Aug 2026, 22:1622,751-30
31 Aug 2026, 01:2522,781-37
29 Aug 2026, 23:5422,818-29
29 Aug 2026, 03:0922,847-18
28 Aug 2026, 02:0722,865-10
27 Aug 2026, 00:3422,875-24
25 Aug 2026, 22:2322,899+2
24 Aug 2026, 20:0822,897-43
23 Aug 2026, 06:4422,940-29
21 Aug 2026, 17:4622,969-30
20 Aug 2026, 13:4722,999first reading

Engagement

402 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 58 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.457%
avg views ÷ 22,328 subscribers
Avg views / post
102
162 posts measured
Reaction rate
0.746%
reactions ÷ views · ER floor
Posts in window
172
of 402 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 17 of 162 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 3 September 2026
Posts held402 (6 August 20263 September 2026)
Views total16,518
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 12:04 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
3h 28m
Average length
38s

Measured directly from 327 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

45 reactions across 45 posts, in 7 distinct kinds. The most used accounts for 48.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2248.9%
1635.6%
24.44%
🔥24.44%
😁12.22%
🤩12.22%
🥰12.22%

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 53 of the 402 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 45 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 402 most recent posts we hold, published 6 August 2026 to 3 September 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

3 Sept 2026, 07:26 UTC74 viewsread 3 September 2026
Video

日本综艺里的「TICKLE HANDLE」挠痒耐久挑战。选手坐机器上,机械臂固定手臂挠痒,强度从GENTLE调到CHAOS,同时监测心率(VS BPM),看能忍多久。 #5G吃瓜 导航联盟🧭 😙 色情吃瓜 🙃 东南亚大事件 🇲🇲

3 Sept 2026, 07:26 UTC89 views1 reactionsread 3 September 2026
Video

这特么的不是要打架了 #5G吃瓜 导航联盟🧭 😙 色情吃瓜 🙃 东南亚大事件 🇲🇲

1

3 Sept 2026, 07:25 UTC61 viewsread 3 September 2026
Video

🤣😂🤣😁东方汇国际娱乐赌场🙄 🤣😂🤣😁有国家政府批准合法合规注册经营许可证的大型国际赌场🙄 ➡️首存赠送🤨♠️♠️🎲,最高🕉♐️♐️♐️元 🎲🎲🎲存款有礼 ,返利 🎲🎲 现金存款有礼 最高可送🕉🎲 😳主营:AG视讯,PG电子,JDB电子,CQ9电子,PNG电子,PP电子,MG电子😳😳😳😳😳😳😳😳😳😳 ➡️充值提现支持:😟😉😞😊微信、支付宝、网银转账、🎲🎲🎲,多种支付快捷方式 😳官方游戏下载注册网址:https://web.877798.com:3306/login/?&pid=52514011 😳游戏上下分群:https://t.me/+pSjLGTcVNHY4YTdl 😳下载注册教程:https://t.me/DFHYL18/31 😳更多福利尽在东方汇📴 传送门 ➡️🙄 东方汇娱乐简介🙄 😀😀😀😀😀😀😀😀😀😀

3 Sept 2026, 07:25 UTC45 views1 reactionsread 3 September 2026
Photo

景甜遭“软封杀”:微信指数、微博合集均已无法查询,美团微博删除了相关内容,商场内的宣传展板也被撤下。 2013 年,郑爽因卷入代孕风波遭到封杀,景甜和郑爽的很像。 #5G吃瓜 导航联盟🧭 😙 色情吃瓜 🙃 东南亚大事件 🇲🇲

😁1

3 Sept 2026, 07:25 UTC51 viewsread 3 September 2026
Photo

如果你是单身男士,选哪个当老婆 #5G吃瓜 导航联盟🧭 😙 色情吃瓜 🙃 东南亚大事件 🇲🇲

3 Sept 2026, 07:25 UTC51 viewsread 3 September 2026
Video

我头晕了 地震了 #5G吃瓜 导航联盟🧭 😙 色情吃瓜 🙃 东南亚大事件 🇲🇲

3 Sept 2026, 07:25 UTC50 views1 reactionsread 3 September 2026
Video

大爷可真是个“实在人” PS:还得是大爷,光明正大的拍 #5G吃瓜 导航联盟🧭 😙 色情吃瓜 🙃 东南亚大事件 🇲🇲

🥰1

3 Sept 2026, 07:25 UTC36 views1 reactionsread 3 September 2026
Photo

没想到宇宙所老板和老板娘,内部代号取自辛普森一家。 在币圈,不少加密交易所内部,有用英文名来代替本名的习惯,如今终于有媒体爆料,币安创始人 CZ 在内部叫 Homer,而联创一姐则叫 Marge。 对应经典美剧辛普森一家的男女主角。 #5G吃瓜 导航联盟🧭 😙 色情吃瓜 🙃 东南亚大事件 🇲🇲

🤩1

3 Sept 2026, 07:25 UTC43 views1 reactionsread 3 September 2026
Photo

像我们这种一有点时间 就往床上躺的人能有多坏 ​ ​​​ #5G吃瓜 导航联盟🧭 😙 色情吃瓜 🙃 东南亚大事件 🇲🇲

1

3 Sept 2026, 07:25 UTC43 viewsread 3 September 2026
Video

给宝子们跳一个? #5G吃瓜 导航联盟🧭 😙 色情吃瓜 🙃 东南亚大事件 🇲🇲

3 Sept 2026, 07:25 UTC45 views1 reactionsread 3 September 2026
Video

冰棒嗦着吃 😐 老吃家了啊 ! #5G吃瓜 导航联盟🧭 😙 色情吃瓜 🙃 东南亚大事件 🇲🇲

🔥1

Showing the 12 most recent of 402 posts we hold for @gaoxiao88. 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.

Mentions

Named by 9 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

头条新闻💥搞笑视频
@z055q · 55,875
Telegram ranks this channel #1 of 43 here — alongside 42 others — read 19 August 2026
吃瓜🍉|搞笑🥸|软色情🥵|树洞投稿📮
@onlychigua · 200,649
Telegram ranks this channel #9 of 48 here — alongside 47 others — read 14 August 2026
(吃瓜)搞笑😐视频
@cgbg8 · 107,027
Telegram ranks this channel #10 of 59 here — alongside 58 others — read 15 August 2026
🍉吃瓜头条《新闻|搞笑|爆料》
@tuigsc · 69,020
Telegram ranks this channel #11 of 48 here — alongside 47 others — read 21 August 2026
吃瓜猎奇 幽默视频 搞笑段子
@ay2028 · 79,466
Telegram ranks this channel #14 of 57 here — alongside 56 others — read 18 August 2026
吃瓜中心
@guawa9 · 89,091
Telegram ranks this channel #19 of 54 here — alongside 53 others — read 17 August 2026
内涵搞笑🫥
@chiguahs · 110,022
Telegram ranks this channel #25 of 55 here — alongside 54 others — read 14 August 2026
西港大事件(曝光)
@xigang9918 · 67,385
Telegram ranks this channel #29 of 41 here — alongside 40 others — read 24 August 2026
吃瓜视频
@pdsss · 54,442
Telegram ranks this channel #31 of 51 here — alongside 50 others — read 23 August 2026
全网吃瓜🍉
@aichiguaba · 247,493
Telegram ranks this channel #35 of 51 here — alongside 50 others — read 14 August 2026
吃瓜🍉群众
@achiguao · 81,872
Telegram ranks this channel #39 of 45 here — alongside 44 others — read 18 August 2026
迪拜新闻 迪拜大事件 马来西亚大事件
@chiguak · 41,024
Telegram ranks this channel #46 of 46 here — alongside 45 others — read 23 August 2026

This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“搞笑视频/吃瓜群众/吃瓜中心” (@gaoxiao88), 22,328 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/gaoxiao88.

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.