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Channel

吃瓜群众/东南亚吃瓜

@fcxhigua1

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

40,011subscribers

-495 since we began measuring on 10 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001322162523
TypeChannel
Username@fcxhigua1
Description东南亚奇趣/百科 东南亚最新/最热 东南亚搞笑/幽默 东南亚吃瓜生活故事!🤝 建议您选择理性性观看!🤝 ◈缅北悬赏: @dnybg1818 ◈金边日记: @JPZJBRJ ◈爱尚电影: @dianying1890 ◈文案中心: @touxiang5890 ◈吃瓜群众: @fcxhigua1 ◈吃瓜搞笑: @douyingcg ◈商务合作: @UKK890
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live19 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/fcxhigua1

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 74% 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

33,03244,09638,56410 August 2026 — 40,506 subscribers10 August 2026 — 40,506 subscribers11 August 2026 — 40,298 subscribers12 August 2026 — 40,215 subscribers13 August 2026 — 39,476 subscribers14 August 2026 — 39,284 subscribers16 August 2026 — 38,555 subscribers17 August 2026 — 37,811 subscribers18 August 2026 — 37,350 subscribers19 August 2026 — 37,308 subscribers20 August 2026 — 37,275 subscribers22 August 2026 — 37,261 subscribers23 August 2026 — 37,252 subscribers25 August 2026 — 37,095 subscribers26 August 2026 — 36,969 subscribers27 August 2026 — 36,950 subscribers28 August 2026 — 36,945 subscribers29 August 2026 — 36,846 subscribers30 August 2026 — 36,693 subscribers31 August 2026 — 36,283 subscribers1 September 2026 — 35,608 subscribers2 September 2026 — 35,386 subscribers3 September 2026 — 35,028 subscribers5 September 2026 — 34,544 subscribers9 September 2026 — 33,032 subscribers11 September 2026 — 43,068 subscribers13 September 2026 — 44,096 subscribers14 September 2026 — 43,033 subscribers16 September 2026 — 41,692 subscribers19 September 2026 — 40,011 subscribers40,01110 August 202619 September 2026
30 measurements spanning 40 days, net -495. 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 31,372–45,756 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
19 Sept 2026, 05:2140,011-1,681
16 Sept 2026, 18:3941,692-1,341
14 Sept 2026, 22:0143,033-1,063
13 Sept 2026, 09:5644,096+1,028
11 Sept 2026, 16:4143,068+10,036
9 Sept 2026, 03:3633,032-1,512
5 Sept 2026, 19:3534,544-484
3 Sept 2026, 17:3735,028-358
2 Sept 2026, 07:4835,386-222
1 Sept 2026, 06:4435,608-675
31 Aug 2026, 04:0436,283-410
30 Aug 2026, 02:2336,693-153
29 Aug 2026, 03:1336,846-99
28 Aug 2026, 04:0336,945-5
27 Aug 2026, 05:5836,950-19
26 Aug 2026, 04:0636,969-126
25 Aug 2026, 04:0637,095-157
23 Aug 2026, 21:2837,252-9
22 Aug 2026, 06:1437,261-14
20 Aug 2026, 18:5437,275first reading

Engagement

661 posts held, back to 10 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 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.39%
avg views ÷ 40,011 subscribers
Avg views / post
956
411 posts measured
Reaction rate
0.112%
reactions ÷ views · ER floor
Posts in window
411
of 661 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 59 of 411 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 22 September 2026
Posts held661 (10 August 202622 September 2026)
Views total392,939
Reactions total60
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 14:17 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
21,700
Videos
28,700
Links
1,200

Lifetime counters from Telegram’s own channel header, read 22 September 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
5h 50m
Average length
45s

Measured directly from 470 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

63 reactions across 61 posts, in 9 distinct kinds. The most used accounts for 20.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1320.6%
🎉812.7%
👏812.7%
🔥812.7%
711.1%
🤩711.1%
57.94%
🥰57.94%
😁23.17%

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 63 of the 661 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 63 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 661 most recent posts we hold, published 10 August 2026 to 22 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

22 Sept 2026, 14:09 UTC3 views1 reactionsread 22 September 2026
Video

哪位群友,偷老头原味内裤被抓到了

🔥1

22 Sept 2026, 14:08 UTC4 viewsread 22 September 2026
Video

牛逼,一键喷火,这个角度应该就是假冷媒空调压缩机炸了吧🤔 #烧车 #自燃

22 Sept 2026, 14:08 UTC3 viewsread 22 September 2026
Photo

#悉尼妹 好莱坞女星西德尼·斯维尼又踩雷,全裸广告一出,全球女运动员集体炸锅,她被骂到哭着回怼。 另一边,澳洲真人秀女星转战OnlyFans,第一张裸照直接狂赚8万澳元。面对恶评她硬刚:我不偷不抢,凭什么要羞耻。

22 Sept 2026, 13:49 UTC5 viewsread 22 September 2026
Photo

什么单位福利这么好? ps: 年终奖,一箱苹果两箱梨 。

22 Sept 2026, 13:28 UTC6 viewsread 22 September 2026
Photo

🇦🇺 澳大利亚 悉尼短暂地变成了哥谭市,因为有多起目击报告显示,有人穿着蝙蝠侠的服装站在歌剧院的屋顶上。 据当地新闻报道,这位身穿斗篷的“英雄”站在这个著名场所的屋顶上,是为了纪念“蝙蝠侠日”,这是一个全球性的年度活动。

22 Sept 2026, 13:27 UTC6 viewsread 22 September 2026
Video

广东云浮罗沙往云城方向罗沙市场路段公路中间路面大面积坍塌 #地陷

22 Sept 2026, 13:10 UTC7 viewsread 22 September 2026
Photo

抖音88万粉喵喵球,刚满十八岁夹子音火爆全网!十斤豪乳+甜美勾魂音,擦边私拍流出,堪称天生精盆圣体,逆天身材让人欲罢不能! PS:这是刚满18岁???

21 Sept 2026, 15:27 UTC≈2,460 viewsread 22 September 2026
Video

#付费广告 球速体育顶级线上娱乐 ❗️大额出款无忧❗️❗️ 东南亚最大线上博彩平台👍👍👍👍 #东南亚顶级高爆电子台!😀😳😳😀😳😳😀😳😳😀😳😳 😀😳😳 😀😀😀😀 👌👌👌 PG电子单注最高可拉2万一注 欢迎各位盘总前来爆庄 #PG电子单注最高爆奖可赢4000万大奖 😍全网PG最高单注爆奖记录没有之一:兰卡的盘总在球速体育麻将 2万一拉单注爆774万 刷新全网最高历史记录❗️👈点击查看 😍再创新高:2026年3月30 某盘总在球速pg麻将1中2万一拉爆出1300万的惊天巨奖❗️❗️ 👈点击查看 😍震撼来袭:2026年1月4号 金边某盘总在球速极速糖果仅用500爆得500万超级巨奖 👈点击查看 雪中送炭不如锦上添花: 单笔出款100万 额外奖励8888 单笔出款300万 额外奖励28888 单笔出款500万 额外奖励58888 单笔出款800万 额外奖励88888 单笔出款1000万 额外奖励1288

Showing the 12 most recent of 661 posts we hold for @fcxhigua1. 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 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.

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

“吃瓜群众/东南亚吃瓜” (@fcxhigua1), 40,011 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/fcxhigua1.

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.