无意中发现了同学妈妈的秘密怎么办?#吃瓜日常 #每日吃瓜 #少妇人妻

Channel
万万想不到每日吃瓜猎奇搞笑
@chigua197
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
20,157subscribers
-651 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 | -1003436495043 |
|---|---|
| Type | Channel |
| Username | @chigua197 |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/chigua197 |
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 78% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 03:36 | 20,157 | -27 |
| 16 Sept 2026, 00:01 | 20,184 | -13 |
| 14 Sept 2026, 10:01 | 20,197 | -37 |
| 12 Sept 2026, 18:41 | 20,234 | -66 |
| 10 Sept 2026, 22:38 | 20,300 | +72 |
| 7 Sept 2026, 21:00 | 20,228 | -72 |
| 5 Sept 2026, 00:00 | 20,300 | -41 |
| 3 Sept 2026, 05:54 | 20,341 | -41 |
| 2 Sept 2026, 00:44 | 20,382 | -31 |
| 1 Sept 2026, 01:38 | 20,413 | -17 |
| 30 Aug 2026, 23:35 | 20,430 | -21 |
| 30 Aug 2026, 00:43 | 20,451 | -23 |
| 29 Aug 2026, 04:17 | 20,474 | -15 |
| 28 Aug 2026, 02:24 | 20,489 | -14 |
| 27 Aug 2026, 00:16 | 20,503 | -24 |
| 25 Aug 2026, 21:23 | 20,527 | -36 |
| 24 Aug 2026, 23:02 | 20,563 | -66 |
| 23 Aug 2026, 08:13 | 20,629 | -49 |
| 21 Aug 2026, 18:08 | 20,678 | -27 |
| 20 Aug 2026, 12:35 | 20,705 | first reading |
Engagement
189 posts held, back to 5 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 78 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.46%
- avg views ÷ 20,157 subscribers
- Avg views / post
- 294
- 67 posts measured
- Reaction rate
- 0.144%
- reactions ÷ views · ER floor
- Posts in window
- 67
- of 189 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 67 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 189 (5 August 2026 – 3 September 2026) |
| Views total | 19,727 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 08:47 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 19m
- Average length
- 1m 15s
Measured directly from 160 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
5 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 60.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 3 | 60.0% | |
| ❤ | 2 | 40.0% |
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 6 of the 189 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 189 most recent posts we hold, published 5 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
电梯里遇到邻居,该怎样打招呼?#吃瓜 #吃瓜群众 #少妇人妻 #温柔人妻 #居家少妇
输了吃对方的 #吃瓜日常 #每日吃瓜 #奇葩事件 #沙雕趣事 #爆笑名场面
可以结婚,但不生娃,有多少男生能接受? #吃瓜日常 #女人味 #高级女人味 #居家少妇
和别人同居过两年,但没发生过关系,再结婚算不算是二婚? #每日吃瓜 #少妇人妻 #温柔人妻 #居家少妇
老婆和小姨子都喝趴下了,没人收拾餐桌了这可怎么办 #吃瓜日常 #每日吃瓜 #少妇人妻 #温柔人妻
🫤😐🫥😶🤥🫠🤫🫡🫢 😑 N9 国际认证 | 信誉平台 支持5倍验资 【验资:@N9KF】 担保域名:N9.TOP 点击查看 ⚡️⚡️⚡️⚡️ 💝 新会员好礼 注册就送28.8U 新人首存/二存/三存最高赠送8️⃣8️⃣8️⃣8️⃣U 💝 老会员好礼 电子狂欢每日存款赠送10% 充值笔笔送3%无上限 夜间充值最高可优惠8888U ⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 香港六合彩 4️⃣8️⃣.8️⃣ 倍 加拿大28全网返水最高 ⚡️注册网址:N9.PRO 😇🧐🧐😗🧐😙😄 ⚡️ 官方客服: @N9KF ⚡️ 官方飞投: @N9N9 ⚡️ 彩票客服: @N9CP ⚡️ 彩票飞投: @N9N9N9 ⚡️ 福利频道: @N9pd888 ⚡️ 注册网址: N9.COM【USDT】 ⚡️ 注册网址: N9.C…
盘点给女生听 #情侣日常聊天 #热恋时的语音 #情侣
一次朋友聚会,三位与女子有纠葛的男生碰巧碰面,分寸缺失的社交,结局让人唏嘘。
那些被父母追着打的熊孩子,没有被棒子追的童年是不完整的! #搞笑 #完整的童年 #熊孩子
#搞笑 #搞笑视频 #沙雕日常 #爆笑名场面 #专治不开心
盘点那些欠揍的爸爸,这老爸真欠啊#坑娃的爹 #人类幼崽 #看一遍笑一遍
Showing the 12 most recent of 189 posts we hold for @chigua197. 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 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“万万想不到每日吃瓜猎奇搞笑” (@chigua197), 20,157 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/chigua197.
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.