山东莱阳幼儿园 原因就是 家长找事儿 老太婆外孙女在这上学给老师说每天必须拍照片发给她 而且还得一个家长在那里看着孩子 那天小孩儿妈妈在那陪着 老师觉得妈妈在那不用拍照片了 老太婆闲不发照片了 就来找老师院长 打人家 人家也没还手 报警了 她还理直气壮说有钱还当过兵 还想私了 警察说 当兵也不是你的免死金牌 反正被打的老师住院了 喜提七天加1000罚款 #抽象 闹麻了 https://t.me/qiqubaike/651317

Channel
每日趣闻🌀
@qqvae
On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry
31,793subscribers
-29 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 | -1001967605170 |
|---|---|
| Type | Channel |
| Username | @qqvae |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 28 August 2026 |
| Measurements held | 21 |
| Confirmed unchanged | 1 time, most recently 28 August 2026 |
| On Telegram | t.me/qqvae |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Aug 2026, 22:46 | 31,793 | -25 |
| 28 Aug 2026, 00:13 | 31,818 | -1 |
| 27 Aug 2026, 02:43 | 31,819 | +1 |
| 26 Aug 2026, 06:12 | 31,818 | -14 |
| 25 Aug 2026, 05:55 | 31,832 | -3 |
| 24 Aug 2026, 08:03 | 31,835 | -55 |
| 22 Aug 2026, 15:14 | 31,890 | -12 |
| 21 Aug 2026, 09:05 | 31,902 | +5 |
| 19 Aug 2026, 11:53 | 31,897 | -76 |
| 18 Aug 2026, 14:44 | 31,973 | +3 |
| 17 Aug 2026, 13:48 | 31,970 | +22 |
| 16 Aug 2026, 09:04 | 31,948 | +16 |
| 14 Aug 2026, 19:16 | 31,932 | +29 |
| 13 Aug 2026, 07:25 | 31,903 | +5 |
| 12 Aug 2026, 06:55 | 31,898 | +7 |
| 11 Aug 2026, 08:36 | 31,891 | +15 |
| 10 Aug 2026, 07:20 | 31,876 | -19 |
| 9 Aug 2026, 09:53 | 31,895 | +35 |
| 8 Aug 2026, 10:36 | 31,860 | +21 |
| 7 Aug 2026, 14:01 | 31,839 | first reading |
Engagement
396 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 47 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.361%
- avg views ÷ 31,793 subscribers
- Avg views / post
- 115
- 396 posts measured
- Reaction rate
- 0.474%
- reactions ÷ views · ER floor
- Posts in window
- 396
- of 396 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 23 of 396 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 396 (6 August 2026 – 28 August 2026) |
| Views total | 45,436 |
| Reactions total | 18 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 18:32 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
- 4h 42m
- Average length
- 51s
Measured directly from 330 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
18 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 72.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 72.2% | |
| 👍 | 2 | 11.1% | |
| 👎 | 1 | 5.56% | |
| 🔥 | 1 | 5.56% | |
| 😁 | 1 | 5.56% |
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 23 of the 396 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 18reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 396 most recent posts we hold, published 6 August 2026 to 28 August 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.
Advertising
- Ad load
- 0.505%
- 2 of 396 posts carry an ad marker
- Regulatory tokens
- 0
- none — marked by hashtag only
- Median views · ads
- 68.0
- over 2 measured posts
- Median views · rest
- 91.0
- over 394 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 396 most recent posts we hold, published 6 August 2026 to 28 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
“老师,我家子涵今天喝水了吗”照进现实:小孩摔倒后家长抓咬幼儿园负责人 山东莱阳市公安局8月27日中午发布警情通报: 2026年8月25日8时57分,莱阳市公安局110接群众报警称,某幼儿园内有人被打。接警后,辖区派出所迅速到场处置。经查,8月24日,张某某(女,52岁)的外孙(男,16个月)在该幼儿园接受托育,行走间意外摔倒。8月25日8时30分许,张某某到幼儿园与孙某某(女,52岁,幼儿园负责人)、马某某(女,23岁,幼儿园工作人员)交涉,发生争执后,张某某对孙某某、马某某二人抓咬、撕扯,致孙某某轻微伤。莱阳市公安局已依法对张某某作出行政拘留七日并处一千元罚款的处罚。 #警方通报
AI短剧 地府办事大厅 😐
苦心伺候 集美什么都招了 !
发生甚么事了 ?
你女朋友愿意为你比心吗 https://t.me/+jVtey_K9_9gxYzI1 #放尿 #撒尿 #比心
什么游戏 ?
美丽印度以宗教之名行残暴之事 😡 神会赞同这种暴力吗? #宗教 #虐待动物
小琳警官又开始给国男普法了:“你们这帮臭国男一个个做梦想屁吃还敢外娶?当心把你们抓起来!” 看到了没有? 这就是中共的意志,一边通过各路媒体大力宣扬“洋女婿”,鼓励织女跟外男结合;一边时不时的敲打国男,让大家不要动外娶的心思。 在中共看来,你国男只有两条路,要么勤勤恳恳工作,然后花真金白银通过力工梭哈的方式去接盘一头烂裤裆好女孩,当好一个供养者;要么就维持非自愿单身的状态一直到死。 国男究竟什么地方得罪了中共?以至于要将普通汉族国男视之为自己的心腹大患,用尽各种手段来压榨我们的生存空间?
#手扶电梯 锻炼身体 💪
可乐加上曼妥思
近日,一穿着“清凉”的女子在高速公路上飙车引发关注。视频显示,一名穿着红色上衣和牛仔短裤的女子正骑着一辆杜卡迪摩托车在高速上狂飙。拍摄者的镜头在转入车内时显示,彼时车子的时速已飙至200(公里)、220(公里)! #警方通报 #女骑士 #飙车 #摩托
Showing the 12 most recent of 396 posts we hold for @qqvae. 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 — 247,303 of 1,624,174entries 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 4 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.
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.
@achiguao · 82,079
Telegram ranks this channel #26 of 45 here — alongside 44 others — read 18 August 2026
@GQSP9 · 116,696
Telegram ranks this channel #34 of 53 here — alongside 52 others — read 14 August 2026
@newszg_official · 164,604
Telegram ranks this channel #34 of 52 here — alongside 51 others — read 12 August 2026
@GXduanzi1 · 118,766
Telegram ranks this channel #36 of 55 here — alongside 54 others — read 13 August 2026
@pdsss · 53,965
Telegram ranks this channel #43 of 51 here — alongside 50 others — read 23 August 2026
This channel appears in 5 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 28 August 2026 — this entry's latest reading, not the date you are reading this.
“每日趣闻🌀” (@qqvae), 31,793 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/qqvae.
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.