Telegram RegisterThe public register of Telegram
Telegram profile photo for 【广州/佛山🌴认证榜】

Channel

【广州/佛山🌴认证榜】

@LFQTwsj008

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

25,182subscribers

+272 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001643633545
TypeChannel
Username@LFQTwsj008
Description认证联系: @TShengdi_bot 广/佛交流群: @guangfoujlq 🎫个人/中介/会所/外围 认证中心 只做最真实的娱乐资源,真实即可认证 认证通过即可公示!
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/LFQTwsj008

Growth

24,89625,18225,0397 August 2026 — 24,910 subscribers8 August 2026 — 24,896 subscribers8 August 2026 — 24,923 subscribers9 August 2026 — 24,897 subscribers10 August 2026 — 24,911 subscribers11 August 2026 — 24,982 subscribers12 August 2026 — 25,041 subscribers14 August 2026 — 25,124 subscribers15 August 2026 — 25,182 subscribers7 August 202615 August 2026
9 measurements spanning 7 days, net +272. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 24,853–25,225 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 08:4725,182+58
14 Aug 2026, 03:1425,124+83
12 Aug 2026, 20:3425,041+59
11 Aug 2026, 19:4424,982+71
10 Aug 2026, 19:2624,911+14
9 Aug 2026, 19:2124,897-26
8 Aug 2026, 22:0224,923+27
8 Aug 2026, 00:1024,896-14
7 Aug 2026, 23:1724,910first reading

Engagement

10 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 20 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.55%
avg views ÷ 25,182 subscribers
Avg views / post
1,400
10 posts measured
Reaction rate
0.222%
reactions ÷ views · ER floor
Posts in window
10
of 10 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 August 2026
Posts held10 (4 August 202614 August 2026)
Views total13,966
Reactions total31
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken16 Aug 2026, 05:33 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

Photos
2,370
Videos
189
Links
82

Lifetime counters from Telegram’s own channel header, read 16 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
31s
Average length
16s

Measured directly from 2 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

31 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 32.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1032.3%
🔥1032.3%
👍619.4%
🥰516.1%

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 10 of the 10 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 31reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 4 August 2026 to 14 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.

Recent posts

14 Aug 2026, 04:12 UTC126 views4 reactionsread 16 August 2026
Photo

#佛山 #会所 #按摩 #LLW 新店,新店,有免费汗蒸🈷️🈷️🈷️🈷️ 项目2🍵🍵🍵 (原价499订房价:439) (服务时间(70分钟)💕 特色:真空+黑丝,丁字裤(不穿打底裤),免费手撕丝袜,全程全luo69互 👅魅舞表演、主打贴身,好玩,刺激,服务内容:主打情趣互动,激情艳舞、 全luo跪式调情、全luo🐻t情、果 冻漫游🐢头、全身过水👅、真空🐼推 后背,舌尖环游全身,背后过水,冰火两重天,果冻毒🐉,手✋,足🦶腿🦵易配合各种姿,网式情趣69式互 👅可👅逼👅龙根)一边舔一边起飞,无限次出水 可免费留宿,有k哥沐足,楼下就是大型停车场 各种调情服务技师开放到极致❤️(隐私部位可摸可亲)可配合客人放心出水 禅城94.5sap💕禅城季华三路 ❤️ 电话☎️:18042836585 出 预约微💕: G106QA 出 击QQ💕:3908697772 击 飞机私💕: @

2👍1🔥1

13 Aug 2026, 14:25 UTC≈1,050 views1 reactionsread 16 August 2026

【报告来源】: @guangfoujlq 【验证留名】:拉姆 【验证时间】:2026,8,,4 【修车水费】:539 【服务内容】:课表 【颜值身材】:苗条 【凶器罩杯】:c 【事逼行为】:无 【优点缺点】:很懂配合 很骚水多 【推荐程度】:强烈推荐 【妹子联系】: @xinxinbuzhang8 【体验细节】: 看见频道里有新人沫沫还可以!约好过去试试!身段很好,该挺的挺,该翘的很翘!声音很舒服,奶子刚刚好,小鲍鱼还是很粉嫩嫩的,水水很多舔着没异味!喜欢舔我弟弟,一看就知道经常喜欢吃,很有经验。水蛇腰很会扭,小屁股的摩擦很润,有没有滑进去我也不知道,被她整麻了都!很舒服的体验,值得推荐! 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座

🔥1

11 Aug 2026, 12:24 UTC≈2,130 views3 reactionsread 16 August 2026
Photo

【老 师 艺 名】#妲己 (08高中毕业) 【所 在 位 置】#佛山 #禅城 【茶 位】#6P #12P 【服 务 类 型】#69式 #制服 #无套口 【联 系 方 式】@zvci13 【老 师 频 道】@bjjdzx12 【双向机器人】@cnehui_bot 备注: #个人老师

1👍1🔥1

9 Aug 2026, 03:05 UTC≈2,220 views3 reactionsread 16 August 2026
Photo

😀 #佛山 虞美人高颜值94 #小时代#YMR#佛山#禅城#00后 📍地址:佛山禅城 🌐油号:94(🚫95 98) 💵价格:449 🕰时间:70分钟不限次😳 (包涵一次性衣服,无额外消费) 😍制服诱惑😍 JK 真空+👠黑丝 🉑撕😀护士 女仆 秘书 🍷 丁字裤🍑(不穿打底裤),👠真6️⃣9️⃣互舔魅舞表演、主打贴身,好玩,刺激 🉑根据个人爱好挑选 让哥哥流连忘返😎 😀服务特色😀 主打情趣互动🍑跪式调情、半裸🐻胸推 💋舌尖调情 🍑屁股推 真空推后背,舌💋尖环游全身, ✋ 🦶🐻🦵 配合各种姿,网式情趣6️⃣9️⃣式互舔 6️⃣9️⃣式丝袜,🉑撕 姿势丰富,(舔🥚 含🥚 舔🐉根 ❗️❗️❗️5️⃣分钟以上)各种调情服务妹妹开放拉到极致,隐私部位💋可摸可亲 🎱环境去设施 ·大型冲凉区🚿 | 丰盛自助餐 | 饮品水果免费畅享😀 ·舒适休息厅🛋 | 免费停车🅿️ | 贴心留宿

1👍1🔥1

8 Aug 2026, 10:01 UTC≈2,260 views4 reactionsread 16 August 2026
Photo

#广州 #包养 反差纯欲甜妹,月8000起 欣欣 客服:@Baoyxin 双向客服:@Baoyxin_bot 欣欣包养频道:@Xinyangai66

2🔥1🥰1

8 Aug 2026, 09:59 UTC≈1,080 views3 reactionsread 10 August 2026
Photo

#广州 #包养 长腿御姐款,月7000起 欣欣 客服:@Baoyxin 双向客服:@Baoyxin_bot 欣欣包养频道:@Xinyangai66

1🔥1🥰1

7 Aug 2026, 12:50 UTC670 views3 reactionsread 10 August 2026
Photo

【老 师 艺 名】#紫荆 S 【所 在 位 置】#广州 #花都 【茶 位】#10P #13P 【服 务 类 型】#SM #调教 #女王 #御姐 【联 系 方 式】@QueenZiJing 【老 师 频 道】@GZfemdomzijing 【双向机器人】@QueenZiJingbot 备注: #个人老师 #视频认证

1🔥1🥰1

6 Aug 2026, 03:40 UTC≈1,130 views4 reactionsread 8 August 2026
Photo

‹ 😃😃 😀😃 📱📱 📱📱 › 😎 爱之狐高端私密会所 😎 🫥高端会所 🫥私密会所 🫥情景定制 🀄服务项目 🀄 😂莞式十八式激情服务😂 🔴鸳鸯戏水🔴泡沫风情🔴风情按摩 🟢指尖漫游🟢波涛汹涌🟢臀臀欲动 🔴蜻蜓点水🔴过水漫游🔴舌尖漫游 🟢花式毒龙🟢海底捞月🟢跪式吹箫 ➡主题角色扮演道具服装 ➡翻云覆雨配合多种姿势 🔥依您的喜好和需求为您做专属的私人定制,满足男性所有不同需求! 🔥每个项目都有小剧情,有开头、高潮、结尾、余温。等专属场景! 🔥环境私密舒适 ,绝对给您带来飞一般的体验! 💎不收定金 💎 靠谱预约 💎到店消费 ✔ 保护隐私—安全放心✔ 🥰🥰🥰🥰🥰🥰🥰🥰 ☹ 各个spa私密服务会所打造的高端特色服务项目不同。具体以会所前台获取的服务流程为准! 位置:咨询客服发送 #广州 #

2👍1🔥1

4 Aug 2026, 11:50 UTC≈2,150 views3 reactionsread 8 August 2026
Photo

【验证留名】:欧克 【验证时间】:2026,7,26 【修车水费】:539 【服务内容】:课表 【颜值身材】:苗条 【凶器罩杯】:b 【事逼行为】:无 【优点缺点】:水多 温柔小蛮腰 【推荐程度】:强烈推荐 【妹子联系】: @xinxinbuzhang8 【体验细节】: 月底了必去的94还是我喜欢的洋洋!很苗条的身材,抱着睡觉躺在我怀里很舒服,小手小腿抚摸我弟弟很有感觉,小鲍鱼粉嫩嫩的,水汁汁美味,小蜜臀抓着很柔软,跟我老二很合拍,啪啪啪的玩得很开心,虽然是第三次想见,我们已是故交,全程都很愉悦,有说不完的情话,三次都射得很满足!看着小姑凉很认真的样子,真心爱上她了!也许下次还来点她,如果她还在的话… 【温馨提醒】:报告仅供参考,请理性选择,切勿对号入座

👍1🔥1🥰1

4 Aug 2026, 08:03 UTC≈1,150 views3 reactionsread 8 August 2026
Photo

佛山禅城季华三路:花🌸真空全luo,激情艳舞互动💃、AB面🐻臀漫游采蜜🐝,💦高山流水,海底捞🌛红唇绕👅棍、舔🥚吸🥚,👅奶头👠丝袜诱惑👋🦶🦵🐻出💦,出水无限次,主打一个高质量,00后主打预约为主,精准预约时间,不弄虚作假,全部真人真相,品质保证 预约电话☎️:18042836585 预约微信:AA0390a 预约QQ:3908697772 飞机私信: @yyyyshn4357 双向机器人🤖:@swlzjm0104_bot 选妃频道:@bsjsjsjjebs2428 出击报告:@ixjsnsnjsjs1616

👍1🔥1🥰1

Showing the 10 most recent of 10 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.

Citation-graph rank

Citation-graph rank — 1,057,824 of 1,481,217entries 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.

Mentions

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.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“【广州/佛山🌴认证榜】” (@LFQTwsj008), 25,182 subscribers as measured 15 August 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.