勤俭持家的大妈!估计也省不了几毛钱

Channel
🍉吃瓜-内涵段子-搞笑视频
@chigua88666
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
15,406subscribers
-2,676 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001837384374 |
|---|---|
| Type | Channel |
| Username | @chigua88666 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 29 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/chigua88666 |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 |
|---|---|---|
| 19 Sept 2026, 03:16 | 15,406 | -362 |
| 16 Sept 2026, 16:59 | 15,768 | -363 |
| 14 Sept 2026, 19:16 | 16,131 | +2,734 |
| 13 Sept 2026, 06:21 | 13,397 | -472 |
| 11 Sept 2026, 07:19 | 13,869 | +1,572 |
| 8 Sept 2026, 12:18 | 12,297 | -671 |
| 5 Sept 2026, 04:01 | 12,968 | -269 |
| 3 Sept 2026, 11:40 | 13,237 | -382 |
| 2 Sept 2026, 04:57 | 13,619 | -191 |
| 1 Sept 2026, 03:08 | 13,810 | -267 |
| 31 Aug 2026, 01:07 | 14,077 | -132 |
| 30 Aug 2026, 01:59 | 14,209 | -399 |
| 29 Aug 2026, 03:24 | 14,608 | -206 |
| 28 Aug 2026, 03:35 | 14,814 | -159 |
| 27 Aug 2026, 04:18 | 14,973 | -223 |
| 26 Aug 2026, 05:56 | 15,196 | -289 |
| 25 Aug 2026, 03:35 | 15,485 | -210 |
| 23 Aug 2026, 21:27 | 15,695 | -131 |
| 22 Aug 2026, 02:04 | 15,826 | -110 |
| 20 Aug 2026, 18:14 | 15,936 | first reading |
Engagement
338 posts held, back to 10 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 40 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.297%
- avg views ÷ 15,406 subscribers
- Avg views / post
- 45.8
- 152 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 152
- of 338 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.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 338 (10 August 2026 – 2 September 2026) |
| Views total | 6,959 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 19:51 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 48m
- Average length
- 53s
Measured directly from 259 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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 1 | 100.0% |
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 2 of the 338 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 338 most recent posts we hold, published 10 August 2026 to 2 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
几点回家 ?
敢相亲吗?不敢不敢 怕了怕了
女朋友送的
当 cos 圈来了个国际超模,简直是降维打击
2007年,在网吧上网的杨幂,长的是真好看! 最爱的女明星 😤
这是男人的通病吗?
马云推出了 商务外卖了 ?
来自富婆的诱惑,这谁顶得住
韩红基金会另一救护车供应商实缴资本为零?记者走访公司所在地 近日,北京韩红爱心慈善基金会(简称韩红基金会)救护车采购陷入争议,引发社会关注。 澎湃新闻注意到,除已被立案调查的供应商上海均奕汽车科技有限公司(简称均奕公司),上海逸奕汽车科技有限公司(简称逸奕公司)也曾向基金会供应救护车。该公司注册资本500万元,实缴资本0元,曾与均奕公司共用一处通信地址。 全国慈善信息公开平台“慈善中国”显示,2021年,韩红基金会曾向逸奕公司支付救护车款项341万元。澎湃新闻记者查询工商登记资料获悉,逸奕公司成立于2019年3月,法定代表人钱玮,登记地址为临港新片区环湖西二路888号C楼。企业注册资本最初为1亿元,2025年变更为500万元,均为认缴、无实缴。巧合的是,逸奕公司年报显示,通信地址为静安区洛川中路1158号B1幢211室(也有登记为洛川中路1150号B1幢211室),与均奕公司2020年-2023年年报中的通信地址一致。 …
你给的是妙药 从此信你不信天
真是贱 印度佬来中国都成香饽饽了 #亚洲马桶 #easygirl
Showing the 12 most recent of 338 posts we hold for @chigua88666. 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
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@xigang9918 · 67,385
Telegram ranks this channel #8 of 41 here — alongside 40 others — read 24 August 2026
@nh888 · 175,539
Telegram ranks this channel #23 of 49 here — alongside 48 others — read 12 August 2026
@neihanduanzi1 · 225,435
Telegram ranks this channel #30 of 44 here — alongside 43 others — read 11 August 2026
@ay2028 · 79,466
Telegram ranks this channel #53 of 57 here — alongside 56 others — read 18 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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-内涵段子-搞笑视频” (@chigua88666), 15,406 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/chigua88666.
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.