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Channel

饭圈|吃瓜

@fanquanya

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

15,132subscribers

+6 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-1003423149380
TypeChannel
Username@fanquanya
Description定时更新奇趣百科 #吃瓜 #曝光 #新闻 #搞笑 免费投稿:@akakw 发生在身边高质量投稿可随机获得猪脚饭! 商务@akakw
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held6
Confirmed unchanged2 times, most recently 17 August 2026
On Telegramt.me/fanquanya

Growth

15,12615,13215,1297 August 2026 — 15,126 subscribers7 August 2026 — 15,126 subscribers9 August 2026 — 15,129 subscribers12 August 2026 — 15,130 subscribers14 August 2026 — 15,131 subscribers16 August 2026 — 15,132 subscribers7 August 202616 August 2026
6 measurements spanning 9 days, net +6. 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 15,125–15,133 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 18:1715,132+1
14 Aug 2026, 00:2515,131+1
12 Aug 2026, 19:4315,130+1
9 Aug 2026, 19:5815,129+3
7 Aug 2026, 19:1615,126no change
7 Aug 2026, 19:0215,126first reading

Engagement

55 posts held, back to 7 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 25 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.60%
avg views ÷ 15,132 subscribers
Avg views / post
545
55 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
55
of 55 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 17 August 2026
Posts held55 (7 August 202617 August 2026)
Views total29,973
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken17 Aug 2026, 19:43 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
268
Videos
195
Links
7

Lifetime counters from Telegram’s own channel header, read 17 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
11m 58s
Average length
28s

Measured directly from 26 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

17 Aug 2026, 17:15 UTC489 viewsread 17 August 2026

#频道互推 #相似推荐 ------------------------------ 📢 妈妈 母子 乱伦 新闻 📢 缅北老街吃瓜中心 📢 吃瓜娱乐资讯🔥 @SSBYQ 📢 缅北吃瓜社 📢 东南亚新事件-新闻.曝光 📢 东南亚曝光新闻 📢 东南亚华人曝光 📢 东南亚华人事件曝光 📢 全网曝光 📢 东南亚新闻曝光吃瓜 ------------------------------ ☁️ 互推入口:@sooo

17 Aug 2026, 09:25 UTC519 viewsread 17 August 2026
Photo

#网友投稿:今日凌晨,一群中国籍人员持枪与执法人员发生交火,企图从金边朗哥区一处拘押中心逃离。 事件发生后,现场一度陷入混乱,并引发100多名其他在押人员跟随试图逃跑。不过此次越狱最终未能成功,执法人员随后将逃出的人员全部抓回,目前人数已全部清点无误。 #海外曝光

17 Aug 2026, 07:35 UTC510 viewsread 17 August 2026
Video

#柬友投稿:一名中国男子在波贝干拉市场附近街头突然倒地,并出现身体抽搐等症状,具体原因目前不明。 事发后,附近当地居民发现男子倒地,随即上前提供协助,并帮助处理现场情况

17 Aug 2026, 06:15 UTC510 viewsread 17 August 2026
Photo

新群变化快,手动找很容易漏。 SOSO 会展示最近同步的新群入口,适合快速补充新的群组来源。

17 Aug 2026, 04:59 UTC500 viewsread 17 August 2026
Video

#出轨 #偷情 #吃瓜 贵阳市花果园偷人事件 哥们心理素质太强了 这个B就该他C

16 Aug 2026, 17:38 UTC482 viewsread 17 August 2026
Photo

#网友投稿 #西港 #凯旋国际 里面大量盘口,#完美体育 及旗下包网 云霄,皇马,英博,home,我给以上盘口招人,从五月份开始直到现在8月16号,没有拿到一分钱提成,现在完美公司一直赖账不给提成,一直等,我们没有工作,没有钱吃饭,现在希望借助网络的力量来维权,公司今天在不处理我的提成问题,我会联系本地朋友报警及国内抖音持续曝光,杀猪盘都没有这么黑,简直离谱到家了,昨天去拿工资,一分钱都不给,从7号开始就等到15号,居然等来这个结果 希望凯旋物业督促完美公司尽快解决此事,杜绝这种黑公司存在,如果不处理,各个盘口位置后续我会附带照片发布 如果不处理,我会联系格鲁吉亚那边的人选一起报警,举报格鲁吉亚那边的办公地点

16 Aug 2026, 13:30 UTC499 viewsread 17 August 2026
Photo

8月15日,江苏南京。 地铁三号线上,一名少年突然情绪失控,拉下地铁的紧急制动开关,大喊“想死”,“要一辆地铁”,“要报复社会”,并不断的踹门,引起车厢慌乱。 后被车上众人控制。

16 Aug 2026, 09:18 UTC522 viewsread 17 August 2026
Video

#网友投稿:缅甸木姐聂科登村诈骗园区被突袭,诈骗人员提前收到通知都跑完了,里面的物资、家具、办公用品都被村民们拖走了

16 Aug 2026, 06:11 UTC520 viewsread 17 August 2026
Video

山西,鸡蛋灌饼好吃得到了 美女顾客的好评!

16 Aug 2026, 06:10 UTC516 viewsread 16 August 2026
Photo

频道适合看内容,群组更适合继续交流。 SOSO 可以直接找热门群组,也能按关键词搜同类圈子。 先打开看看当前推荐。

16 Aug 2026, 04:03 UTC514 viewsread 16 August 2026
Photo

#网友曝光 #占浩 之前在柬埔寨特区做诈骗的 后面在金边天空待着 一直亏钱就在外面骗妹子说自己家里有钱 因为不想影响到家里所以支付宝什么的不能用 不想在海外有支付记录 所以在外面的单都是我买的 天天喝酒和几个妹妹打视频发红包也是找我拿钱 一起合作公司里面也是欠我40多万没结我 所以我一直没撕破脸 后面还通过管家拿密码进别人妹妹房间 大家多注意 此人有艾滋 我之前每年都做体检的 和他在一起这半年就染上了 不然也不至于撕破脸这么难看

15 Aug 2026, 17:05 UTC523 viewsread 15 August 2026

#频道互推 #相似推荐 ------------------------------ 📢 妈妈 母子 乱伦 新闻 📢 缅北老街吃瓜中心 📢 吃瓜娱乐资讯🔥 @SSBYQ 📢 缅北吃瓜社 📢 东南亚新事件-新闻.曝光 📢 东南亚曝光新闻 📢 东南亚华人曝光 📢 东南亚华人事件曝光 📢 柬埔寨小Y吃瓜日记 📢 全网曝光 ------------------------------ ☁️ 互推入口:@sooo

Showing the 12 most recent of 55 posts we hold for @fanquanya. 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 — 400,733 of 1,548,671entries 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.

Named by

Channels on the register whose posts name this channel's handle.

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.

“饭圈|吃瓜” (@fanquanya), 15,132 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/fanquanya.

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.