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Channel

广州佛山永乐公开榜

@guangfoyongle

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

48,543subscribers

+879 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-1002168982538
TypeChannel
Username@guangfoyongle
Description广佛出击必备榜 本群🈲一切中介、骗子、代聊、驾照 踩雷有奖 广佛永乐聊天总群👇 @guangfoyongle2020 老师上榜请联系唯一客服机器人 @ShangbangjiqirenBot
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/guangfoyongle

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 83% 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.

Growth

46,86448,54347,703.56 August 2026 — 47,664 subscribers6 August 2026 — 47,664 subscribers7 August 2026 — 47,689 subscribers8 August 2026 — 47,719 subscribers9 August 2026 — 47,545 subscribers10 August 2026 — 47,548 subscribers11 August 2026 — 47,198 subscribers12 August 2026 — 47,143 subscribers13 August 2026 — 47,049 subscribers14 August 2026 — 46,935 subscribers16 August 2026 — 46,971 subscribers17 August 2026 — 47,013 subscribers18 August 2026 — 46,913 subscribers19 August 2026 — 46,864 subscribers20 August 2026 — 46,927 subscribers21 August 2026 — 46,998 subscribers23 August 2026 — 47,041 subscribers24 August 2026 — 47,135 subscribers25 August 2026 — 47,152 subscribers26 August 2026 — 47,184 subscribers27 August 2026 — 47,234 subscribers28 August 2026 — 47,288 subscribers29 August 2026 — 47,318 subscribers30 August 2026 — 47,391 subscribers31 August 2026 — 47,441 subscribers1 September 2026 — 47,456 subscribers2 September 2026 — 47,491 subscribers3 September 2026 — 47,576 subscribers6 September 2026 — 47,627 subscribers9 September 2026 — 47,629 subscribers11 September 2026 — 47,741 subscribers13 September 2026 — 47,792 subscribers15 September 2026 — 47,837 subscribers17 September 2026 — 47,912 subscribers25 September 2026 — 48,543 subscribers6 August 202625 September 2026
35 measurements spanning 49 days, net +879. 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 46,612–48,795 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
25 Sept 2026, 03:2048,543+631
17 Sept 2026, 09:3947,912+75
15 Sept 2026, 07:5947,837+45
13 Sept 2026, 14:4147,792+51
11 Sept 2026, 18:5747,741+112
9 Sept 2026, 08:0147,629+2
6 Sept 2026, 03:3947,627+51
3 Sept 2026, 19:5847,576+85
2 Sept 2026, 12:0247,491+35
1 Sept 2026, 15:1347,456+15
31 Aug 2026, 15:4447,441+50
30 Aug 2026, 12:4447,391+73
29 Aug 2026, 15:0647,318+30
28 Aug 2026, 17:2647,288+54
27 Aug 2026, 14:5547,234+50
26 Aug 2026, 17:3947,184+32
25 Aug 2026, 16:2247,152+17
24 Aug 2026, 14:1647,135+94
23 Aug 2026, 00:1647,041+43
21 Aug 2026, 16:0446,998first reading

Engagement

346 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 118 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.77%
avg views ÷ 48,543 subscribers
Avg views / post
857
178 posts measured
Reaction rate
0.192%
reactions ÷ views · ER floor
Posts in window
178
of 346 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 69 of 178 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 2 October 2026
Posts held346 (6 August 2026 – 2 October 2026)
Views total152,603
Reactions total106
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 12:41 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
≈1,910
Videos
≈201
Links
≈351

Lifetime counters from Telegram’s own channel header, read 2 October 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
22m 12s
Average length
11s

Measured directly from 117 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

185 reactions across 110 posts, in 9 distinct kinds. The most used accounts for 80.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤14880.0%
👍179.19%
👏105.41%
🔥31.62%
🥰31.62%
👎10.541%
💯10.541%
🤩10.541%
🤮10.541%

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 135 of the 346 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 185 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 346 most recent posts we hold, published 6 August 2026 to 2 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.

Recent posts

2 Oct 2026, 12:25 UTC68 viewsread 2 October 2026
Photo

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2 Oct 2026, 12:05 UTC102 viewsread 2 October 2026
Photo

#广州白云金碧国际水汇【全网好评第一】 #白云区 #新市 #三元里 #马务 #水汇 #制服 #丝袜 #97场 #口吹 #磨棒 #毒龙 特色优点:金碧国际水汇目前全网排名第一,技师出了名颜值高,颜值堪比网红女,身材堪比国际车模,全新的97服务,特色润滑油磨棒,5000万全新高档装修,技师高达100多位,服务全新升级,真魔棒、真毒龙、真舌头旋转吹,不弄虚作假,主打全广州最顶端的一家97水汇。所有技师都是经过严格筛选,才能招聘上班,服务都是经过一轮又一轮培训,老板重金招聘澳门桑拿老师回来专门培训新人,服务基本是最顶级的,每个月不同花样玩法,黑丝足交、双脚硬撸、猛虎吹都是本店最出名的特色姿势。 全程 #70分钟 时间不到服务不停 项目价格: S牌----- 899(70分钟不限) A牌----- 799(70分钟不限) B牌----- 699(70分钟不限) 时间:70分钟 🫠🫠 A牌95后 S牌00后 8…

2 Oct 2026, 08:18 UTC≈2,530 viewsread 2 October 2026
Photo

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2 Oct 2026, 07:15 UTC469 views1 reactionsread 2 October 2026
Photo

☝️艺名:#露露 📍地址:#天河 💲价格:#600P #1100PP 👍特色:#御姐 #舌吻 #可上门 👍特色:#口爆 #可SM 🚀私聊:@lulu88665 ⌨️验证方式:#视频验证 #非中介 报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 报告9 报告10 报告11 报告12 报告13 报告14 报告15 报告16 👍 点击跳转天河二区 👍 点击返回导航 如果中介代聊、货不对版、照片本人差距大排雷奖励RMB200元

❤1

1 Oct 2026, 11:44 UTC≈1,040 views1 reactionsread 2 October 2026
Photo

☝️艺名:#灿灿 📍地址:#荔湾 💲价格:#500P #800PP 👍特色:#bbw #大胸 #舌吻 🚀私聊:@cancanAyu ⌨️验证方式:#视频验证 #非中介 报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 报告9 报告10 报告11 报告12 报告13 报告14 报告15 报告16 报告17 报告18 报告19 报告20 报告21 报告22 报告23 报告24 报告25 报告26 报告27 报告28 报告29 报告30 报告31 报告32 报告33 报告34 报告35 报告36 报告37 报告38 报告39 报告40 报告41 报告42 报告43 报告44 报告45 报告46 报…

❤1

1 Oct 2026, 11:18 UTC≈2,420 viewsread 2 October 2026
Photo

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1 Oct 2026, 11:07 UTC952 viewsread 2 October 2026
Photo

☝️艺名:#诗敏 📍地址:#金沙洲 💲价格:#600P #1200PP 👍特色:#嫩妹 #舌吻 #69式 🚀私聊:@xiaoxiao24680 ⌨️验证方式:#视频验证 #非中介 首份报告提交者获得双倍积分奖励 👍 点击返回金沙洲 👍 点击返回导航 如果中介代聊、货不对版、照片本人差距大排雷奖励RMB200元

1 Oct 2026, 08:36 UTC≈1,000 views1 reactionsread 2 October 2026
Photo

☝️艺名:#桃桃 📍地址:#南海 💲价格:#700P #1300PP 👍特色:#御姐 #大胸 #可上门 🚀私聊:@mum172 ⌨️验证方式:#视频验证 #非中介 首份报告提交者获得双倍积分奖励 👍 点击返回南海区 👍 点击返回导航 如果中介代聊、货不对版、照片本人差距大排雷奖励RMB200元

❤1

1 Oct 2026, 06:35 UTC≈1,090 views2 reactionsread 2 October 2026
Photo

☝️艺名:#桃子 📍地址:#南海 💲价格:#600P #1000PP 👍特色:#舌吻 #深喉 #鸳鸯浴 🚀私聊:@firstno112233 ⌨️验证方式:#视频验证 #非中介 报告1 报告2 报告3 报告4 报告5 报告6 报告7 报告8 报告9 报告10 报告11 报告12 报告13 报告14 报告15 报告16 报告17 报告18 报告19 报告20 报告21 报告22 报告23 报告24 报告25 报告26 报告27 报告28 报告29 报告30 报告31 👍 点击返回南海区 👍 点击返回导航 如果中介代聊、货不对版、照片本人差距大排雷奖励RMB200元

❤2

30 Sept 2026, 14:04 UTC846 viewsread 1 October 2026
Photo

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30 Sept 2026, 13:54 UTC≈5,080 views1 reactionsread 1 October 2026
Photo

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❤1

30 Sept 2026, 13:43 UTC738 views1 reactionsread 1 October 2026
Photo

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❤1

Showing the 12 most recent of 346 posts we hold for @guangfoyongle. 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.

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 23 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.

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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“广州佛山永乐公开榜” (@guangfoyongle), 48,543 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/guangfoyongle.

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.