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Channel
91吃瓜反差新闻 sucai
@fcxhoi
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
15,766subscribers
+4,153 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 | -1003921273153 |
|---|---|
| Type | Channel |
| Username | @fcxhoi |
| Description | #东南亚 #柬埔寨 #泰国 #菲律宾 #缅甸 #曝光 #新闻 #吃瓜 唯一正版东南亚曝光新闻吃瓜,本频道专注分享东南亚华人大小事,不跟风,不模仿,只做原创。足不出户让你看尽东南亚! 广告位招租: @taotu135 |
| Created | Between 1 April 2026 and 6 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 2 November 2026 |
| Measurements held | 52 |
| Confirmed unchanged | 1 time, most recently 2 November 2026 |
| On Telegram | t.me/fcxhoi |
Topic
International news — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Nov 2026, 21:49 | 15,766 | +3 |
| 31 Oct 2026, 23:16 | 15,763 | +7 |
| 30 Oct 2026, 22:16 | 15,756 | +1 |
| 30 Oct 2026, 01:10 | 15,755 | -10 |
| 27 Oct 2026, 23:19 | 15,765 | -4 |
| 27 Oct 2026, 02:37 | 15,769 | -6 |
| 25 Oct 2026, 23:07 | 15,775 | -43 |
| 24 Oct 2026, 22:04 | 15,818 | +309 |
| 23 Oct 2026, 23:34 | 15,509 | -16 |
| 22 Oct 2026, 22:45 | 15,525 | -24 |
| 20 Oct 2026, 15:19 | 15,549 | -1 |
| 19 Oct 2026, 18:06 | 15,550 | -7 |
| 18 Oct 2026, 18:20 | 15,557 | +2,028 |
| 17 Oct 2026, 19:56 | 13,529 | -4 |
| 16 Oct 2026, 20:38 | 13,533 | -9 |
| 15 Oct 2026, 23:20 | 13,542 | +4,980 |
| 13 Oct 2026, 08:50 | 8,562 | -3,712 |
| 9 Oct 2026, 04:58 | 12,274 | -66 |
| 4 Oct 2026, 16:38 | 12,340 | -28 |
| 26 Sept 2026, 13:59 | 12,368 | first reading |
Engagement
112 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 45 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.36%
- avg views ÷ 15,766 subscribers
- Avg views / post
- 530
- 13 posts measured
- Reaction rate
- 0.067%
- reactions ÷ views · ER floor
- Posts in window
- 13
- of 112 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 2 of 13 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 October 2026 |
|---|---|
| Posts held | 112 (6 August 2026 – 27 October 2026) |
| Views total | 6,890 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Nov 2026, 03:57 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
- ≈796
- Videos
- ≈1,250
- Links
- ≈46
Lifetime counters from Telegram’s own channel header, read 3 November 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
- 45m 10s
- Average length
- 36s
Measured directly from 75 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
11 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 90.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 10 | 90.9% | |
| 🔥 | 1 | 9.09% |
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 15 of the 112 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 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 112 most recent posts we hold, published 6 August 2026 to 27 October 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
👍👍👍👍专业:手机银行,电脑银行,微信支付宝的转账截图,银行到账短信 身份证 USDT... 等做图生成器,行走江湖必备神器,助力你业绩爆表🤑 ⚡️😖⚡️👍👍👍🙊👹🙊👹👍👍👍 ⚡️感恩相伴,尊享回馈!——用户是我们的上帝 ⚡️为了感谢您的支持,即日起,凡是推荐身边的朋友或同事使用8989看图王软件的老客户一律享受会员价的🫨折! 🫨推荐3个朋友购买月卡赠送1张月卡! 🫨.推荐2个朋友购买季卡赠送1张月卡! 🫨.推荐2个朋友购买年卡赠送1张季卡! 💸8989看图王频道 🥰@zti8989ktw 💸开卡续费联系客服 🤑@zizii67888 💸双向机器人联系 🤑@zizii67888_bot ❤️🔥⚡️😖⚡️全新推出【8989看图王】买3送1可测试,祝各位老板发大财,天天爆单🥰🥰🥰🥰🥰🥰🥰
最新深夜福利频道如下⬇️⬇️⬇️⬇️⬇️⬇️ 0️⃣日本无码➡️ @AVwuma668 1️⃣精品日韩➡️ @rihan998 2️⃣熟女人妻➡️ @shjryeuo 3️⃣国产视频➡️ @madoubgm 4️⃣经典三级➡️ @jingdiansjp 5️⃣欧美无码➡️ @oumeisanjipiao 6️⃣萝莉少女➡️ @fhgfkuy 7️⃣树洞秘密➡️ @xingpichiguai 8️⃣美女短片➡️ @lkotyd 9️⃣日韩高清➡️ @FLLAVWMi ➕探花日本➡️ @sopezcawoou ➕伪娘人妖➡️ @dnf6888 ➕吃瓜反差➡️ @fcxhoi ➕口爆吞精➡️ @wetert886 ➕新闻曝光➡️ @DNYXWWBG 大哥大姐们可以先关注一下
姆主席 ? #恶搞 姆巴佩 毛泽东 🤔
❤1
#水炮 搞起来了
女孩吐槽:表姐结婚,整场婚礼好像只有表姐在认真对在,婚礼好像就是女生的独角戏! 有这两个表妹在,感觉表姐离离婚也不远了
姆巴佩 #辱华 #恶搞 表情包
有网友发现,徐州二医院出现大量黑人医生,并且评论区有人说该医院有 #黑人 医生给他的妈妈消毒
#刀妹 对峙警察 被击毙 #警察执法
一位 黑人 女士在商店里对着镜头拍摄自己将牛奶全部倒在地上,结果却不小心滑倒在了她刚刚制造的混乱之中 😂 幸运的是,对于这家商店来说,她也全程拍摄了整个事件,包括是谁首先制造了导致地面湿滑的情况。
10月26日,有网民反映,天津杨光相声社演员杨议在演出中情绪激动并辱骂观众。杨光相声社表示,网上流传视频是拍段子,并非真实情况,涉事演员本周正常演出。现场观众表示,事发10月25日的营业性演出,台下有其他观众多次喊该演员外号。南开区文旅局工作人员表示,已接到投诉反映事发10月25日,目前已介入调查核实。
事发首尔江南新论岘站附近,一名疑似因失恋烂醉的女子,竟然在马路中心行走。途人见状立刻报警,警车赶到封锁部分路线,合力将该女子移至人行道,带回派出所保护并送回家。#醉酒 #美女
Showing the 12 most recent of 112 posts we hold for @fcxhoi. 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 24 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.
Named by
Channels on the register whose posts name this channel's handle.
@sucai_taotu135 · 16,68234 posts【海外素材】素材总部/生活/美食/套图/风景/旅行/汽车/购物/居家/运动/自拍素材
@sucai_zongbuc · 31,49332 posts【日本素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@riben_taotu_sucaiv · 11,43214 posts【香港素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@xianggang_taotu_suci · 4,46013 posts【国内素材】【中国素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@guonei_taotu_sucaic · 19,47812 posts成人小说精选
@xiaoshuonn · 33,44512 posts【韩国素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@hanguo_taotu_sucaiv · 3,2257 posts【英国素材】居家日常/风景旅行/生活购物/运动办公/汽车美食等/高清大图/人设套图
@yingguo_sucai_taotuv · 6,9176 posts缅北 吃瓜(曝光)
@MBsss_1 · 9,9295 posts【美国素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@meiguo_taotu_sucai0 · 14,9075 posts【人设—素材】
@sucai_renshev · 4,9385 posts【台湾素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@taiwan_taotu_sucaic · 5,0484 posts【新加坡素材】居家日常/风景旅行/生活购物/运动办公/汽车美食等/高清大图/人设套图
@xinjiapo_sucai_taoti · 9,9293 posts【马来西亚素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@malai_sucai_taotul · 4,3132 posts【泰国素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@taiguo_taotu_sucai0 · 4,2862 posts人设套图 -(亚洲男)
@taotu_st1 · 12,9522 posts人设套图【亚洲女】
@taotua_A1 · 11,4702 posts【迪拜素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@dibai_taotu_sucai0 · 4,7801 post【法国素材】旅游/生活/美食套图全选/朋友圈装饰/高清大图精选
@faguo_taotu_sucaiv · 4,8141 post全球海外素材库 sucai
@sucaike · 1,8061 post人设套图 -(亚洲女)
@taotu_st2 · 14,7461 post套图-乔碗素材🔥-人设套图【欧美女】
@taotu_Y13 · 9,6821 post人设套图 -(亚洲男)
@taotuAi2 · 11,4851 post【每日精选】 文案/头像/壁纸/套图
@wenanqinggan · 9,2061 post
Names
Channels on the register whose handles appear in this channel's posts.
@sucaibxs · 26,9346 posts【支持测试】8989看图王 p图软件
@zti8989ktw · 31,8214 posts东南亚新闻网-东南亚大小事-曝光骗子-群众投稿
@DNYXWWBG · 5,1693 posts萝莉少女学生 Hello GPT
@fhgfkuy · 5,9943 posts【番号帝】番号查询
@FLLAVWMi · 5,4493 posts经典三级🎦电影
@jingdiansjp · 13,5843 posts美女诱惑短视频 sanguo
@lkotyd · 5,2533 posts麻豆传媒-AV首发 madou
@madoubgm · 11,4263 posts欧美三级|欧美精选|欧美剧情
@oumeisanjipiao · 14,9713 posts真实💋熟女|母子乱伦 sanguo
@shjryeuo · 15,3523 posts树洞‼️秘密
@xingpichiguai · 6,6813 posts【图册New】全新图册|网银作图|8989看图王|图册New官方频道
@zt2345ktwl · 31,9603 postsAV无码|FC2|东京热|一本道|日本素人|无码磁力|番号大全
@AVwuma668 · 12,8642 posts日本AV ‖ 日韩视频 ‖ 高清无码 sanguo
@rihan998 · 8,9502 posts全球配送 礼物代购 代送礼物
@daisongxianhuaa · 161 post伪娘🌷人妖🌷菊花之家
@dnf6888 · 5,3321 post三国演义官方频道认准客服 @DQYYIDS
@DQGZAS · 30,4921 postsanguo|欧美无码|OnlyFans|推特💋💋
@jtyetej · 5,4601 post美工证件ps 海报设计
@ps_zj · 531 post探花|偷拍|日本|𝐌𝐌
@sopezcawoou · 5,1311 post人设套图【欧美女】
@taotu_AT3 · 6,9331 postTG助手官方-强拉-电报引流
@TG_zhushour · 3,3951 post口交|口爆|吞精|tucenew
@wetert886 · 5,4261 post小丸子|频道出售|飞机直登号|浏览量|频道粉
@zhidenghaor · 131 post
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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 2
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@fcxhoi named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 2 posts, 15 August 2026 – 16 August 2026 · confirmed gone 31 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 2 posts, 15 August 2026 – 16 August 2026 · confirmed gone 2 November 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 2 November 2026 — this entry's latest reading, not the date you are reading this.
“91吃瓜反差新闻 sucai” (@fcxhoi), 15,766 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/fcxhoi.
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.