Channel
@luolidaocg
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
20subscribers
+0 since we began measuring on 9 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004371258520 |
|---|---|
| Type | Channel |
| Username | @luolidaocg |
| Description | @luolidaocg 我们不生产瓜条 我们只是瓜条的搬运工 |
| First recorded | 9 October 2026 |
| Last confirmed live | 9 October 2026 |
| Measurements held | 2 |
| On Telegram | t.me/luolidaocg |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Oct 2026, 22:22 | 20 | no change |
| 9 Oct 2026, 21:47 | 20 | first reading |
7 posts held, back to 1 October 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 1 page of Telegram’s post history, 20 posts per page.
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 3 of 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 October 2026 |
|---|---|
| Posts held | 7 (1 October 2026 – 9 October 2026) |
| Views total | 327 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Oct 2026, 22:22 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.
Lifetime counters from Telegram’s own channel header, read 9 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 1 video 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.
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 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 3 of the 7 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 1 October 2026 to 9 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.
规则怪谈，深夜大妈不停上门，原因竟然是…… 时至今日，深圳的龙华城中村楼道和商业区晚上的马路上里面总有猥琐抠脚大汉偷偷摸摸扔在地上的小卡片，还会贴在共享单车上面，一看到这种小卡片我就想起了那段痛苦的回忆，奉劝各位狼友不要捡，否则会陷入深夜大妈规则怪谈 记得那个晚上闲着没事，在大浪商业中心刚吃完一顿自助，走在马路上，刚刚看到小卡片了，俗话说，饱暖思淫欲 看到小卡片上门的美女照片就加了上门的QQ，然后非得让我开好房间才给安排，遇上开了附近的维也纳酒店花了280多，让我拍好房卡让我发电话号码才给安排，等了半个小时有，接了，我一听卧槽，标准大妈音，但是我位置暴露了怎么办，大妈上门来粗暴敲门，我无奈只能打开，那我直接说你走吧，然后大妈说来都来了，你要给我车费，你要给我50块车费，然后我嗯，马上给他转了50让他走，然后用那个QQ上的狗中介，问我有没有好货，然后他说有有有，马上给安排，结果又跑来一个大妈，这是给了30块的车费，最后我说不要了，…
❤2
出没在各大群里抽奖榜单，真身是个肥婆大妈想把人骗来，利用《来都来了》的规则怪谈诱惑意志力不坚定的狼友，各位🐺友要是实在意志力不坚定，可以出击前撸一发，进入贤者模式，增加各种debuff的抗性
这个龙华楠楠出没在各大群半价榜单里面，第一次说让我等等，等了一个半小时，还有下面的小公园有个引体向上和做推胸的，于是我就在下面锻炼，上去之后结果是个肥婆，然后第二次告诉我说上次那个不是他本人，然后让我过来看，结果我操，丑是丑，但是我想着今天跑太累了，来都来了，还是算了吧，然后就搞了花了700，贤者模式的时候真的看到觉得更他妈丑了，怎么有人能丑成这样，面目可憎，人神共愤，令人发指，丧心病狂，各位师兄师弟们引以为敬
❤1
东北符文战士🐔，除了身高一样之外，和频道照片区别很大，鸡头代聊的号，找了两次感觉还行，丑是丑了点，但丑得比较有特色，态度也不错，适合有异食癖的兄弟们。
龙华可可，凌晨出击，在民治一个大池塘旁边，一打开门就开着昏暗的射灯打在她头顶，一身黑白相间的符文加上一张涂的苍白的脸，让我想起了咒怨的伽椰子，她盘坐在昏暗的射灯下，手机屏幕的蓝光打在她苍白的脸上更显得一丝诡异，我以为见鬼了，夺路而逃
【萝莉报告】:[https://t.me/shenzhenluolidao] 【所在位置】: 福田 【老师艺名】: 罗湖小梦 【联系方式】: @oookkk34900 【验证留名】: 匿名 【验证时间】: 2026/09/14 【上课价位】: 600p 【颜值身材】: 人照一致，略微美颜，五官立体，妥妥御姐型长相。奶子又大又软，身子柔软如水，整体条件在线。 【服务内容】: 莞式服务，课标里有的都有（洗浴、舌吻拥抱、打波、水中萧、全身服务、多姿势正戏等） 【服务态度】: 全程非常主动饥渴，线上沟通就很配合，不过分要求基本都尽力满足，进门直接强制爱，服务没有少做。 【优点缺点】: 优点：性价比很高，人照一致，做爱反馈真实，身子软、主动度高，洗浴准备充分（漱口水、一次性牙刷都有），整体体验太值。 缺点：暂无明显缺点。 【推荐程度】: 强烈推荐 【体验细节】: 小梦是饥渴型，第一次去就想把我吃了。线上沟通时老师就很主动，基本上不过分的要…
🧐今日吃瓜 坂田可可骗定全过程🧐 究竟是妹妹被盗号了，还是妹妹自导自演？或是被中介侵吞胜利果实，真实的坂田可可从此一去不回？❌ 想了解更多详情让我们走进今日瓜条👇 ✍️小编给大家梳理一下瓜条的时间线： 坂田可可是一位8.26号才开始玩tg的新老师，半个月订阅频道达到五百多人，获取了十多篇的好评报告，此外作为一个新老师经常在群聊活跃，俨然是要火甚至是已经有点小火的新起之秀🍷 然而在9.12号，有两位哥哥联系胖妞说坂田可可骗定，胖妞火速联系可可，在晚上八点取得联系，妹妹说自己被盗号了并且发布了频道说明（详情第一张图），另外可可给出了补偿方案，也就是按照哥哥们付的定金抵扣优惠正常上课，按道理来说，被盗号的骗定风波到这里就该结束了！✔️实则不然，时间线来到了9.15，这天晚上又出现了一位新的受害者，于是萝莉岛将可可的信息下榜，打上了疑似盗号骗定请勿联系（详情第二张图），这一次胖妞联系可可一直到第二天16号才得到回应🫢然而更让人惊讶的是…
Showing the 7 most recent of 7 posts we hold for @luolidaocg. 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.
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.
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 9 October 2026 — this entry's latest reading, not the date you are reading this.
“深圳嫩妹萝莉岛（吃瓜投稿版）” (@luolidaocg), 20 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/luolidaocg.
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.