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Channel

广州联邦公开榜

@GZLBGKB

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

91,716subscribers

+14,329 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-1001861736447
TypeChannel
Username@GZLBGKB
Description聊天群: @GZXCLB 上榜请联系: @gzlbbot 抽奖公告(备用群):@GZXCLBClub
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 October 2026
Measurements held42
Confirmed unchanged1 time, most recently 18 October 2026
On Telegramt.me/GZLBGKB

Topic

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 58% 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

77,38791,71684,551.56 August 2026 — 77,387 subscribers6 August 2026 — 77,387 subscribers7 August 2026 — 77,473 subscribers8 August 2026 — 77,988 subscribers9 August 2026 — 78,242 subscribers10 August 2026 — 78,515 subscribers11 August 2026 — 78,707 subscribers12 August 2026 — 78,827 subscribers13 August 2026 — 79,017 subscribers14 August 2026 — 79,429 subscribers16 August 2026 — 79,739 subscribers17 August 2026 — 79,841 subscribers18 August 2026 — 79,986 subscribers19 August 2026 — 80,172 subscribers20 August 2026 — 79,315 subscribers21 August 2026 — 79,380 subscribers23 August 2026 — 79,741 subscribers24 August 2026 — 80,070 subscribers25 August 2026 — 80,339 subscribers26 August 2026 — 80,579 subscribers27 August 2026 — 80,700 subscribers28 August 2026 — 80,844 subscribers29 August 2026 — 81,097 subscribers30 August 2026 — 81,331 subscribers1 September 2026 — 81,607 subscribers1 September 2026 — 81,759 subscribers3 September 2026 — 81,971 subscribers4 September 2026 — 82,154 subscribers7 September 2026 — 82,661 subscribers10 September 2026 — 83,284 subscribers12 September 2026 — 83,867 subscribers14 September 2026 — 84,112 subscribers16 September 2026 — 84,593 subscribers18 September 2026 — 85,162 subscribers1 October 2026 — 87,132 subscribers6 October 2026 — 88,694 subscribers11 October 2026 — 89,791 subscribers13 October 2026 — 90,431 subscribers15 October 2026 — 90,764 subscribers16 October 2026 — 90,997 subscribers17 October 2026 — 91,345 subscribers18 October 2026 — 91,716 subscribers6 August 202618 October 2026
42 measurements spanning 72 days, net +14,329. 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 75,238–93,865 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 42
Measured (UTC)SubscribersChange
18 Oct 2026, 00:2791,716+371
17 Oct 2026, 01:3091,345+348
16 Oct 2026, 04:5790,997+233
15 Oct 2026, 02:0790,764+333
13 Oct 2026, 23:5690,431+640
11 Oct 2026, 02:3689,791+1,097
6 Oct 2026, 19:1588,694+1,562
1 Oct 2026, 16:5887,132+1,970
18 Sept 2026, 09:1985,162+569
16 Sept 2026, 03:3684,593+481
14 Sept 2026, 08:1884,112+245
12 Sept 2026, 20:4183,867+583
10 Sept 2026, 18:5583,284+623
7 Sept 2026, 20:3682,661+507
4 Sept 2026, 18:0082,154+183
3 Sept 2026, 06:1781,971+212
1 Sept 2026, 22:0381,759+152
1 Sept 2026, 00:4581,607+276
30 Aug 2026, 22:5781,331+234
29 Aug 2026, 22:0581,097first reading

Engagement

175 posts held, back to 5 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 153 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.882%
avg views ÷ 91,716 subscribers
Avg views / post
809
54 posts measured
Reaction rate
0.163%
reactions ÷ views · ER floor
Posts in window
54
of 175 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 40 of 54 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 17 October 2026
Posts held175 (5 August 2026 – 17 October 2026)
Views total43,684
Reactions total55
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Oct 2026, 07:09 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
722
Videos
69
Links
36

Lifetime counters from Telegram’s own channel header, read 18 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.

Video runtime
6m 42s
Average length
10s

Measured directly from 42 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

276 reactions across 95 posts, in 6 distinct kinds. The most used accounts for 56.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤15656.5%
👍10036.2%
👏113.99%
🔥62.17%
😍20.725%
🙏10.362%

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 112 of the 175 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 276 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 175 most recent posts we hold, published 5 August 2026 to 17 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.

Telegram Stars

Stars received
67
across the posts below
Posts paid on
17
of 175 we hold a reading for · 10%
Most on one post
9
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @GZLBGKB. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 175 most recent posts we hold for this entry, published 5 August 2026 to 17 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

17 Oct 2026, 12:18 UTC460 views4 reactionsread 18 October 2026
Photo

🔈🫠🫠🫠广州首家嫩妹97水汇 🥰白云金沙洲星悦国际【嫩妹大场】 👠#全员嫩妹高端质量场 #97场 📍#白云 #金沙洲 #同德围 #西村 🫠🫠🫠🫠 🫠🫠🫠🫠 特色优点:本店技师以年轻群体为主,大多数都是年轻00后,没有高于30岁以上技师 主打高颜值高质量嫩模嫩妹,超S牌更是顶美03后嫩妹 每一位都是高薪招聘严格筛选 模特车模级!眼见为实支持到店验牌 不对版不满意转身走免收门票费!新装修大型豪华高端水汇 服务更是一流 独家招牌倒立口爆 任意姿势大尺寸磨棒等等,欢迎各位老哥前来验证 本店每一位技师半月一体检(可验报告)用品均是一客一换 拥有质量同时保证每一位顾客健康安全,全力打造质量与服务广州大型97高端水汇天花板。 😇店内24小时免费提供 停车 过夜 大型恒温泡池 自助餐 点餐 水果饮料 干蒸汗蒸 桌球室 乒乓球 棋牌室 单人VIP包房过夜 还有商务接待VIP多人包房留宿 #会所 #水汇 〰️〰️〰️〰️〰️〰️…

❤1👍1🔥1🙏1

16 Oct 2026, 12:08 UTC856 views3 reactionsread 18 October 2026
Photo

地址: #天河 艺名: #媛媛酱 价格: #1600p #3000pp 私聊:@uycv888 频道:@yuanyuanjiang2030 标签: #御姐 #制服 #kiss #69

🔥2❤1

16 Oct 2026, 05:44 UTC966 views1 reactionsread 18 October 2026
Photo

地址: #天河 艺名: #林果冻 价格: #1100p #1600pp 私聊:@lgd520999 频道:@Lyx68999XO 标签: #嫩妹 #制服 #舌吻 #69

❤1

16 Oct 2026, 05:17 UTC611 views1 reactionsread 17 October 2026
Photo

地址: #天河 艺名: #小玉 价格: #1100p #1900pp 私聊:@ayuyu520 频道:@Yuyu123520 标签: #嫩妹 #制服 #舌吻 #69 服务内容:Kiss •深喉 指滑 蛇吻、69洗浴 口 按摩 舔咪咪 蛋蛋 水多品紧致 会夹、会吸、制服 e丝袜 Jk 空姐 女仆 情趣内衣水手服 黑丝 初恋女友感 配合各种姿势

❤1

15 Oct 2026, 15:42 UTC705 views0 reactionsread 17 October 2026
Photo

🎉 天河小萝莉甜甜老师优惠活动 🎁 奖品清单 • p200优惠券 × 8 • pp300优惠券 × 8 • 夜课500优惠券 × 3 • 10元奶茶口令红包 × 1 🛡️ 参与条件 • 加入 广州修车联邦 • 加入 🍭广州兼职06年小萝莉甜甜🍇 • 加入 广州联邦公开榜 • 加入 广州联邦出击报告 • 加入 广州修车联邦(备用群) • 必须设置用户名 🔮 祝福加持 • 祝福消耗:3积分 • 祝福上限:30次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-10-19 19:19:00 📜 抽奖说明 ①本活动由甜甜老师赞助 ②中奖请私聊 @xiaoluoli6 ③半价,优惠券有效期为7天使用,需要写报告 ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。

15 Oct 2026, 15:22 UTC682 views0 reactionsread 17 October 2026
Photo

初见会所 番禺洛溪半裸94场 营业时间: 下午1点到凌晨5点 搞活动价格:4️⃣7️⃣9️⃣,70分钟 项目内容:主题漫舞,制服诱惑,✋撕丝🧦,半裸真🐻360全身漫游,玉指抚滑, 👅尖漫游双峰至全身 ,互吸互舔,👅🐻,👅🥚,含🥚,吸 🥚,👅至根🍌部,哪里敏感👅哪里,69式互动,多姿势配合,✋-🐻-🦵🏻-🦶🏻不限次数 特色:部分老师可达到三通(3T)(资讯部长)以下为三通(3T)具体尺度解释 上路:可舌吻(前提嘴巴没有异味和口臭) 中路:可揉捏,吸奶甜奶 下路:可69舔妹妹(多种姿势) 有浴室澡堂,免费停车,钟足服务 📜小泽部长电报:@Aa922128 📜小泽部长微信:Aa1208920 📜小泽部长电话:19124226605 本店無5無8,严禁问询 地址:广州市番禺区洛溪附近 会所频道:https://t.me/hsjjsjshskke 会所交流群:https://t.me/ggjgfjhd

15 Oct 2026, 12:22 UTC259 views3 reactionsread 15 October 2026
Photo

🔈🫠🫠🫠白云机场首家97水汇 🥰广州白云人和金宸汤泉水汇 👠#人和 #首家汤泉 #95场 #97场 📍#花都 #白云机场 #龙归 #嘉禾 🫠🫠🫠🫠 🫠🫠🫠🫠 特色优点:白云人和首家汤泉97水汇,位于白云机场 靠近花都,出差旅行首选落脚点,环境高档 门面大气 有私人汤泉温泉多功能泡池,每日在岗技师70~80位 S牌都是年轻嫩模真实00后,主打高颜值高质量 大型高档水汇,服务一流 倒立口爆是本店的招牌 磨棒 毒龙 冰火两重天等等 都是通过严格培训后才会上岗接客 诚信经营 以诚相待,打造广州质量与服务97天花板水汇。 ⭐店内24小时免费提供 停车 过夜 汤泉温泉泡池 自助餐 点餐 水果饮料 干蒸汗蒸 棋牌室 电玩机 单人VIP包房过夜 还有商务接待VIP多人包房留宿 #会所 #水汇 〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️〰️ 9️⃣7️⃣服务内容: 艳舞开场 全程👄 丝袜调情 诱惑丝袜 …

❤1👍1🔥1

15 Oct 2026, 09:14 UTC371 views2 reactionsread 15 October 2026
Photo

地址: #天河 艺名: #婷婷 价格: #600p #1200pp 私聊:@tingting202618 频道:@tingting20261818 标签: #嫩妹 #舌吻 #69

❤2

14 Oct 2026, 11:26 UTC529 views1 reactionsread 15 October 2026
Photo

地址: #天河 艺名: #甜甜 #商家上榜 价格: #800起 私聊:@xiaoluoli6 频道:@xttluol1 标签: #嫩妹 #商家上榜 #舌吻 #制服 清纯可爱 皮肤嫩滑 呆萌听话 三点粉嫩 全身原装 乖巧懂事

❤1

14 Oct 2026, 06:40 UTC603 views0 reactionsread 15 October 2026
Photo

🎉 天河御姐晴稀老师半价优惠活动 🎁 奖品清单 • P 半价优惠券 × 1 🛡️ 参与条件 • 加入 广州修车联邦 • 加入 晴稀 • 加入 广州联邦公开榜 • 加入 广州联邦出击报告 • 加入 广州修车联邦(备用群) • 必须设置用户名 🔮 祝福加持 • 祝福消耗:3积分 • 祝福上限:30次 • 祝福一次增加一个抽奖号,提高中奖率 • 幸运值祝福:支持 幸运值说明 ⌛ 抽选时刻 • 2026-10-17 13:13:00 📜 抽奖说明 ①本活动由晴稀老师赞助 ②中奖请私聊 @qingxi886 ③半价,优惠券有效期为7天使用,需要写报告。 ✨ 愿命运之剑指引你们前行,直至胜利之光照耀每一个人。

14 Oct 2026, 06:31 UTC534 viewsread 15 October 2026
Photo

地址: #天河 艺名: #晴稀 价格: #800p #1600pp 私聊:@qingxi886 频道:@qongxillyh 标签: #御姐 #舌吻 #69 身材丰满 真胸 情绪价值拉满 不催不急 k 超高颜值 笔直长腿蜜桃臀 🐻以下都是腿 身材超赞 气质绝佳 少女 柔韧性特好 超耐心 丝袜 蛇纹

13 Oct 2026, 12:16 UTC872 views1 reactionsread 15 October 2026
Photo

地址: #荔湾 艺名: #小不点 价格: #700p #1300pp 私聊:@xiaobudian2028 频道:@xianbudian22 标签: #嫩妹 #kiss #制服

❤1

Showing the 12 most recent of 175 posts we hold for @GZLBGKB. 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.

Posts edited after publishing

@GZLBGKB edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
10 September 2026
Most recent edit
10 September 2026

Forward network

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.

Mentions

Named by 17 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.

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 18 October 2026 — this entry's latest reading, not the date you are reading this.

“广州联邦公开榜” (@GZLBGKB), 91,716 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/GZLBGKB.

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.