吃瓜 诱骗未成年 四川眉山曝出一段当街打人视频!经爆料,居然是一小伙儿在网上勾搭个12岁小姑娘,忽悠她去眉山玩,还想带去开房!这男的天天给小姑娘转20块钱,瞅准她爹妈离婚、家里没人管,心情还不好,就下手了!小姑娘到了眉山一看,这男的岁数不小了,吓得赶紧打电话喊她爹来接!她爹一到,火冒三丈,上去把那男的就是一顿狠揍啊!花200找一个不行吗? #打人

Channel
每日吃瓜/萝莉/猎奇/AV
@luolicg9
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
32,561subscribers
-6,950 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002657428208 |
|---|---|
| Type | Channel |
| Username | @luolicg9 |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 58 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/luolicg9 |
Topic
Adult — 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 9 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 14:44 | 32,561 | -574 |
| 4 Nov 2026, 14:37 | 33,135 | +7,986 |
| 3 Nov 2026, 16:46 | 25,149 | -33 |
| 2 Nov 2026, 14:01 | 25,182 | -124 |
| 1 Nov 2026, 11:56 | 25,306 | -269 |
| 31 Oct 2026, 13:36 | 25,575 | +292 |
| 30 Oct 2026, 10:28 | 25,283 | -378 |
| 29 Oct 2026, 11:37 | 25,661 | -357 |
| 28 Oct 2026, 12:59 | 26,018 | +270 |
| 27 Oct 2026, 16:29 | 25,748 | -306 |
| 26 Oct 2026, 14:46 | 26,054 | -609 |
| 25 Oct 2026, 12:59 | 26,663 | -179 |
| 24 Oct 2026, 12:38 | 26,842 | -455 |
| 23 Oct 2026, 12:15 | 27,297 | +54 |
| 22 Oct 2026, 08:51 | 27,243 | +212 |
| 21 Oct 2026, 04:58 | 27,031 | -419 |
| 19 Oct 2026, 23:36 | 27,450 | -217 |
| 18 Oct 2026, 20:17 | 27,667 | -362 |
| 17 Oct 2026, 18:31 | 28,029 | -520 |
| 16 Oct 2026, 19:47 | 28,549 | first reading |
Engagement
1,609 posts held, back to 7 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 160 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.148%
- avg views ÷ 32,561 subscribers
- Avg views / post
- 48.2
- 613 posts measured
- Reaction rate
- 1.23%
- reactions ÷ views · ER floor
- Posts in window
- 613
- of 1,609 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 15 of 613 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 1,609 (7 August 2026 – 5 November 2026) |
| Views total | 29,540 |
| Reactions total | 10 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 09:27 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
- 10h 12m
- Average length
- 45s
Measured directly from 824 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
14 reactions across 14 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 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 22 of the 1,000 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 8 September 2026 to 5 November 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
Telegram’s own ‘edited’ marker: 0 of 613 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
泸州古蔺-石亮河 #车祸 超车,让车结局让人遗憾
自己车门没关好 😑 #彻底疯狂 #路怒症 #砸车
偷感太强了 神秘走位 这样行驶对吗 ?
#站街 #郑州#站街 昨天去花园口村益禾堂顺着夜市直走就能见到人不少20个左右吧,品质也还可以,价格200带活建议晚10点以后去10点以前有便衣巡逻
#按摩 这一条街从嘉味轩右边进去,往里走一条路上全是足浴按摩,但是品质不咋地
王俊凯的 母狗 #女粉丝 真疯狂!!没买到门票,隔着几百米,也要趴着墙听。
🇦🇺南布里斯班(West Village)高端社区
湖南长沙 某商场攀岩项目,疑似小朋友睡裤被挂住,导致倒挂金钟。。拍摄者称:还好后来被顺利救下,人应该没事。 #事故
28日 成都往返四姑娘山-紫荆隧道,有网友发布视频 #车祸
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偷拍某地市级办公室领导们选女炮 内地方官员像选妃一样选陪侍人员,小姐姐们排成一排,腐败无极限 #非诚勿扰
Showing the 12 most recent of 1,609 posts we hold for @luolicg9. 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.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“每日吃瓜/萝莉/猎奇/AV” (@luolicg9), 32,561 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/luolicg9.
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.