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Channel
@LFQTwsj008
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
24,143subscribers
-767 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001643633545 |
|---|---|
| Type | Channel |
| Username | @LFQTwsj008 |
| Created | Between 1 December 2021 and 30 April 2023 — 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 | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/LFQTwsj008 |
Other / unclassifiable — 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 53% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 19:18 | 24,143 | +90 |
| 16 Sept 2026, 08:57 | 24,053 | -101 |
| 14 Sept 2026, 17:37 | 24,154 | -44 |
| 13 Sept 2026, 05:57 | 24,198 | -212 |
| 11 Sept 2026, 10:15 | 24,410 | -160 |
| 8 Sept 2026, 14:58 | 24,570 | -208 |
| 5 Sept 2026, 06:19 | 24,778 | -113 |
| 3 Sept 2026, 09:55 | 24,891 | -149 |
| 2 Sept 2026, 02:22 | 25,040 | -25 |
| 1 Sept 2026, 03:54 | 25,065 | -47 |
| 31 Aug 2026, 05:05 | 25,112 | -46 |
| 30 Aug 2026, 05:44 | 25,158 | -57 |
| 29 Aug 2026, 05:05 | 25,215 | -8 |
| 28 Aug 2026, 03:53 | 25,223 | +53 |
| 27 Aug 2026, 03:45 | 25,170 | +24 |
| 26 Aug 2026, 02:34 | 25,146 | -23 |
| 25 Aug 2026, 03:56 | 25,169 | +25 |
| 24 Aug 2026, 00:33 | 25,144 | -5 |
| 22 Aug 2026, 07:39 | 25,149 | -4 |
| 20 Aug 2026, 20:02 | 25,153 | first reading |
30 posts held, back to 4 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 56 pages 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 14 of 15 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 | 30 (4 August 2026 – 3 September 2026) |
| Views total | 20,370 |
| Reactions total | 37 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 11:50 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.
Measured directly from 8 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.
80 reactions across 29 posts, in 4 distinct kinds. The most used accounts for 36.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 29 | 36.3% | |
| 🔥 | 28 | 35.0% | |
| 👍 | 17 | 21.3% | |
| 🥰 | 6 | 7.50% |
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 29 of the 30 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 80 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 4 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.
#广州 #包养 纯欲款清纯女大,月两万 欣欣 客服:@Baoyxin 双向客服:@Baoyxin_bot 欣欣包养频道:@Xinyangai66
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#广州 #包养 纯欲款甜妹,月两万 欣欣 客服:@Baoyxin 双向客服:@Baoyxin_bot 欣欣包养频道:@Xinyangai66
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【验证留名】:火鸟 【验证时间】:2026,8,23 【修车水费】:499 【服务内容】:课表 【颜值身材】:性感 丰满 【凶器罩杯】:F+ 【事逼行为】:无 【优点缺点】:年轻嫩妹 奶子大 舌头软 皮肤白 【推荐程度】:强烈推荐 【妹子联系】: @xinxinbuzhang8 【体验细节】: 看着有大奶子就想去抓一抓!刚好周末老哥帮我约好,到了快速洗干净盘她!很年轻有点那种精神小妹,很丰满型,奶子确实很大很白,夹着我弟弟很舒服,很会玩的!一看就是有故事的小菇娘!屁股也很翘推着很舒服,鲍鱼没有异味,还是很配合的一起69 她也很享受的,出好多水,叫床很好听有节奏!舌头很软感觉到她的温度了,舔着我弟弟很满足的!喜欢丰满型的可以冲,很年轻的嫩妹子!很有回味! 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座
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#佛山 94 嫩妹高端会所 特色:每天出勤40位靓女,现场挑选选到满意为止!骚媚舞互动,边跳边拖上依,各种骚摆,跪式服务亲🦵亲🦶,👅足,三角区真👅🥚棍,👅🐢頭(至少10分钟以上),小🐈钓鱼,真🐍毒🐲3-5 分钟,各种秀🐻,秀臀,秀🦵,各种姿势🐈骚,各种蛇🐍油,刺激缸顶新体验5-10,站坐爬可各种调情姿势,规定时间内可🐻多架✈️(✈️可选🐻👋🦵🦶),怎么刺激怎么来,下面可亲舔膜。(注:细节多,无法细打,欢迎新老顾客体验,福物🀄️有🪡🐲合恬🐢👨,请喜净屁屁和🐢👨位置) 欢迎新老朋友来店体验! 营业时间中午十二点到凌晨五点! QQ: 3990501334 Tel: 13531327080(同v) QQ:3847757236 Tel: 15011632761 tg:@xinxinbuzhang8 频道: @xinxinbuzhang6 报告一 报告二 报告三 报告四 报告五
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💐💐💐开奖了💐💐💐 佛山禅城顶级草莓园,抽奖活动 开奖了! 本期总参与人数: 20 1- K KK 获得:1p优惠卷100 2- 签到 张 获得:1p优惠卷100 3- Here Y 获得:1p优惠卷100 4- Kong Y 获得:1p优惠卷100 5- 向日葵 获得:1p优惠卷100 6- Roxas 获得:1p优惠卷100 7- 黑鬼 获得:1p优惠卷100 8- 江南第一深情.🦄 获得:1p优惠卷100 9- 明 日 获得:1p优惠卷100 10- piZhu Xi 获得:1p优惠卷100 11- Charles Smith 获得:PP优惠卷200 12- 彳亍 获得:PP优惠卷200 13- 铅笔小新 获得:PP优惠卷200 14- Wan 获得:PP优惠卷200 15- wu 获得:PP优惠卷200 16- 笙歌(封枪中) 获得:PP优惠卷200 17- fashion gz 获…
【老 师 艺 名】#小梦 【所 在 位 置】#佛山 #禅城 【茶 位】#6P #12PP 【服 务 类 型】#口爆 #调情 #毒龙 【联 系 方 式】@diucew1 【老 师 频 道】@dnjd18 【双向机器人】@daaduiv_bot 备注: #个人老师
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上课时间:9月1 老师花名:柚子 课室位置:#禅城 老师电报:@xyouzi06 颜值身材:和照片一致 体验细节: 非常推荐,老师态度特别好,人照非常合一,五官好看,身材真的好,活泼开朗乐观,能提供情绪价值。一进来陪洗看到老师二弟就起立了,上床开始之后,发现口技非常的牛逼,69直接爽飞。开始正题,老师是真的紧,而且身段灵活,一边🐍一边上下运动真的是有飘飘欲仙的感觉。换了好几个姿势,从前面上面到后面。很完美的一次出击体验! 推荐程度:10分
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【老 师 艺 名】#柚子 【所 在 位 置】#佛山 #禅城 【茶 位】#6P #13PP 【服 务 类 型】#舌吻 #共浴 #胸推 【联 系 方 式】@xyouzi06 【老 师 频 道】@youziyuan8 【双向机器人】@youzizhusbot 备注: #个人老师 报告一
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【老师花名】:草莓 【联系方式】:@cmbb06 【验证留名】:yy 【验证时间】:8月31日 【大概位置】:#禅城 【修车水费】:600p 【人照相似】:比其他照片更青春可爱,和照片基本一样。非常可爱。 【身高身材】:172左右高,皮肤很顺滑 【凶器罩杯】:D➕整体手感挺软 【服务总结】:过程无机车,情绪价值拉满,没有少做 【推荐程度】:9.9分,价格非常合理,值得二刷(至少我预订二刷了) 【流程小文】:在房间楼下刚好见到了草莓那一瞬间我以为都不是她,群里的照片与面前的粉黛佳人形成了微妙的反差,她的样貌打破了我由于丑照产生的先入为主的印象,一路上聊天感受到草莓的开朗和活泼。进了房间后我们先是坐在沙发上,她衔着给我买的甜点在呼吸相闻的距离喂我吃了下去,让我感觉满满的女友感。然后一起洗香香去了,期间我们互相抹沐浴露清洗隐私部位,伴着沐浴露和水感受草莓丝滑的身躯让我爱不释手,洗完之后草莓穿上了诱惑感满满的肉色丝袜,我上手撕开了个口子…
❤3👍1🔥1
🤔兰亭集精选全套会所🤔 #广州 ⚡️⚡️主打颜值 服务 环境 安全为一体的高端私密会所 ⚡️⚡️想玩会所找我,长期靠谱安全稳定 📹全裸艳舞 鸳鸯戏水 水磨推拿🥰 📹口舌调情 后口毒龙 胯下吞龙🥰 📹手推胸推 足推臀推 激情爱爱🥰 📹指划漫游 制服情趣 到店海选🥰 🫣🫣🫣🫣🫣🫣🫣🫣🫣🫣🫣 一直传承老莞式全方位整套会所服务 为男人打造尊享一条龙服务! 🥸🥸🥸🙁🤯😖😏🤬😳😳😳 🤬 到店海选 一对一服务 🤗 🥰全天妹妹在线🔞 学生🤗萝莉🤗少妇🤗嫩模 😲 可双飞👕过夜👕至尊体验 😲 ✨ 无需定金 零门槛 无上门(到店消费安全放心) ⚡️⚡️合作会所每天都有补充颜值高、活好的年轻技师 客服号: @gopd8888 双向
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Showing the 12 most recent of 30 posts we hold for @LFQTwsj008. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“【广州/佛山🌴认证榜】” (@LFQTwsj008), 24,143 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/LFQTwsj008.
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.