Telegram RegisterThe public register of Telegram
Telegram profile photo for 奇葩故事会(癫佬频道)

Channel

奇葩故事会(癫佬频道)

@fa_dian

On this record: Topic · Observations · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

48,218subscribers

+3,776 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001954452457
TypeChannel
Username@fa_dian
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live23 October 2026
Measurements held46
Confirmed unchanged1 time, most recently 23 October 2026
On Telegramt.me/fa_dian

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 16 August 2026 and assigned it the closest of 31 fixed categories, at 54% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Views per post sit far above this size band

21,500 average views per post against 48,218 subscribers — an engagement rate of 44.5%. Across the 1,320 registered channels in the same cohort — 31,648–99,937 subscribers, posting mainly in Chinese — the middle half sit between 0.99% and 5.68%, with a median of 2.48%.

What this was computed from
Window30 days (23 September 2026 – 23 October 2026)
Posts measured19 of 19 published in the window (0 exact, 19 rounded by Telegram)
Views totalled408,050
Mature posts only44.5% over 19 posts read at least 24h after publication
Subscribers48,218 measured 23 October 2026
Cohortb31623:zho · 1,320 channels · p10 0.276% · p25 0.99% · p50 2.48% · p75 5.68% · p90 10.8%
Position in cohort99.545th percentile · 17.9× the cohort median
Uncertainty±0.067% of the figure, from Telegram’s rounding
Post languageChinese · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 23 October 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

44,44248,21846,3306 August 2026 — 44,442 subscribers7 August 2026 — 44,453 subscribers8 August 2026 — 44,464 subscribers9 August 2026 — 44,477 subscribers10 August 2026 — 44,496 subscribers11 August 2026 — 44,513 subscribers12 August 2026 — 44,602 subscribers13 August 2026 — 44,737 subscribers14 August 2026 — 44,771 subscribers16 August 2026 — 44,816 subscribers17 August 2026 — 45,102 subscribers18 August 2026 — 45,201 subscribers19 August 2026 — 45,263 subscribers20 August 2026 — 45,321 subscribers21 August 2026 — 45,379 subscribers22 August 2026 — 45,423 subscribers24 August 2026 — 45,486 subscribers25 August 2026 — 45,508 subscribers26 August 2026 — 45,539 subscribers27 August 2026 — 45,573 subscribers28 August 2026 — 45,604 subscribers29 August 2026 — 45,617 subscribers30 August 2026 — 45,630 subscribers31 August 2026 — 45,684 subscribers1 September 2026 — 45,777 subscribers2 September 2026 — 45,805 subscribers3 September 2026 — 45,839 subscribers5 September 2026 — 45,854 subscribers9 September 2026 — 45,929 subscribers11 September 2026 — 45,971 subscribers13 September 2026 — 45,982 subscribers15 September 2026 — 46,000 subscribers17 September 2026 — 46,012 subscribers25 September 2026 — 46,002 subscribers4 October 2026 — 46,130 subscribers9 October 2026 — 46,187 subscribers13 October 2026 — 46,214 subscribers14 October 2026 — 46,232 subscribers15 October 2026 — 46,216 subscribers16 October 2026 — 46,397 subscribers17 October 2026 — 47,387 subscribers18 October 2026 — 47,783 subscribers19 October 2026 — 47,940 subscribers20 October 2026 — 48,041 subscribers21 October 2026 — 48,136 subscribers23 October 2026 — 48,218 subscribers6 August 202623 October 2026
46 measurements spanning 77 days, net +3,776. 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 43,876–48,784 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 46
Measured (UTC)SubscribersChange
23 Oct 2026, 02:3048,218+82
21 Oct 2026, 22:5748,136+95
20 Oct 2026, 20:2648,041+101
19 Oct 2026, 17:4847,940+157
18 Oct 2026, 16:4547,783+396
17 Oct 2026, 14:1647,387+990
16 Oct 2026, 13:4946,397+181
15 Oct 2026, 17:1146,216-16
14 Oct 2026, 16:1746,232+18
13 Oct 2026, 08:0946,214+27
9 Oct 2026, 00:3946,187+57
4 Oct 2026, 10:5746,130+128
25 Sept 2026, 20:1646,002-10
17 Sept 2026, 07:1946,012+12
15 Sept 2026, 08:1846,000+18
13 Sept 2026, 13:5945,982+11
11 Sept 2026, 15:1645,971+42
9 Sept 2026, 03:2145,929+75
5 Sept 2026, 21:5545,854+15
3 Sept 2026, 17:4145,839first reading

Engagement

69 posts held, back to 17 July 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 154 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
44.5%
avg views ÷ 48,218 subscribers
Avg views / post
21,500
19 posts measured
Reaction rate
0.485%
reactions ÷ views · ER floor
Posts in window
19
of 69 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 21 October 2026
Posts held69 (17 July 2026 – 21 October 2026)
Views total408,050
Reactions total1,978
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Oct 2026, 22:19 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.

Reaction mix

7,630 reactions across 69 posts, in 48 distinct kinds. The most used accounts for 42.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤡3,26442.8%
🤣1,22516.1%
💩7209.44%
🖕4025.27%
❤3965.19%
😁3955.18%
👍2212.90%
🎉2012.63%
🤮1491.95%
😈791.04%
🤬760.996%
👎720.944%
💊420.55%
😭400.524%
👏360.472%
😱360.472%
🥴350.459%
🌭310.406%
👀260.341%
🔥250.328%
28 further kinds1592.08%

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 69 of the 69 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 7,630 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 69 most recent posts we hold, published 17 July 2026 to 21 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

21 Oct 2026, 12:29 UTC≈4,510 views28 reactionsread 22 October 2026

发现了同公司采购和供货商的详细勾结证据,也有这个采购外面包养小三的详细信息。我还认识他老婆,如果我悄悄发邮件给老板和他老婆可以吗?还是以此利益最大化,通过陌生邮件敲诈一波?我是不是太无耻了,其实和我没关系。

🤡16😈5👍3💩2😁2

20 Oct 2026, 08:02 UTC≈7,840 views172 reactionsread 22 October 2026

你妈了个臭逼,你是个jb树洞?老子上午发的你他妈现在还没给我发?操你妈逼的

🤣140🤡19💩9❤2😁2

17 Oct 2026, 23:15 UTC≈13,100 views162 reactionsread 22 October 2026

隔壁租房宅女是个二次元,房间里还有洛丽塔,痛包。她的房间靠过道有窗户,偶然发现她在用成人玩具,有没有大佬交流一下该怎么发展成我的性奴

🤡108🖕20❤10🤣8🤨6😈4👀3👎3

16 Oct 2026, 12:28 UTC≈18,600 views220 reactionsread 22 October 2026

上周检查宿舍用电安全,我被分配到女生宿舍。 每去一个,我就狠狠的闻闻女大学生的鞋子,我是有底线的,没做其他事。 但今天是我感冒咳嗽的第三天了,不知道是不是因为闻多了

🤣141🤮45🤡14❤7👀3🗿3🤬3💩2

16 Oct 2026, 12:26 UTC≈17,800 views35 reactionsread 22 October 2026

每天早上醒来,我都觉得自己像是一台没插电源却被硬生生拔掉插头的电饭煲。别问我为什么眼神空洞,因为我的灵魂已经在今天早高峰的地铁里被挤成了片汤!建议大家不要太正常,正常给谁看啊?这年头连路边的垃圾桶都有固定的工作,我却还在为了几块钱的优惠券算来算去。

🖕23😁6🗿4❤1🙊1

13 Oct 2026, 22:07 UTC≈21,300 views131 reactionsread 22 October 2026

我把现实里好看的女同学都给ai了

🤡93🤣17👎9😁6👍5❤1

11 Oct 2026, 05:28 UTC≈24,000 views120 reactionsread 22 October 2026

我要带我漂亮的情人去青岛玩哦,你们好好上班,努力挣钱🤡🤡

🤡90🖕26❤2🌭1😁1

7 Oct 2026, 09:01 UTC≈28,700 views95 reactionsread 22 October 2026
Photo

想问下各位大哥,这个收费199u是真假

🤣50🤡38❤5🤪1😁1

5 Oct 2026, 13:36 UTC≈26,600 views172 reactionsread 22 October 2026

有没有什么项目可以做一做啊,想给前女友买一部18promax😭这样她就能复合了,特别缺钱现在 VIA: Y mike

🤡135🤣22🤬6❤4👎3🌭1😁1

5 Oct 2026, 12:42 UTC≈24,800 views46 reactionsread 22 October 2026

我这个人其实非常那个,很好色,感觉已经超越物种了,可能确实已经结构了,无法阻止,洞穴这个概念已经上升到宇宙

🤡30👾6🌭4❤3😈3

4 Oct 2026, 06:43 UTC≈26,300 views100 reactionsread 22 October 2026

女朋友国庆节去找她亲弟弟玩了,订酒店的时候跟我说是她弟弟住学校,她住酒店,所以订了大床房没订双床房。然后昨天第一天刚到a市,她说太晚了(晚上十二点多)就让她弟弟一起回酒店了,而且酒店有两份早餐不吃浪费了。然后今天她弟弟又跟她回酒店了,也没有跟我解释原因,让我很苦恼,心生疑虑。【背景1】国庆节前,我说我跟她一起去a市跟她弟弟玩,她说我去有点尴尬,让我回家去,然后我也想回家看望爸妈,就回家了。【背景2】之前在她手机浏览器里面看到过《做梦跟亲弟弟一起做爱是什么原因》这样的浏览记录。女朋友平时很正经,求助大家我女朋友有没有可能跟她弟弟乱伦了?概率有多大?

💩60❤13🤡10👍9✍7😁1

4 Oct 2026, 06:43 UTC≈22,800 views2 reactionsread 22 October 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8214953027

❤2

Showing the 12 most recent of 69 posts we hold for @fa_dian. 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 5 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.

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 23 October 2026 — this entry's latest reading, not the date you are reading this.

“奇葩故事会(癫佬频道)” (@fa_dian), 48,218 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/fa_dian.

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.