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Channel

广州佛山联邦报告榜

@Gzffrr

On this record: Topic · Growth · Engagement · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry

20,475subscribers

+1,766 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002303962468
TypeChannel
Username@Gzffrr
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live27 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/Gzffrr

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 89% 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

18,70920,47519,5926 August 2026 — 18,709 subscribers6 August 2026 — 18,709 subscribers7 August 2026 — 18,741 subscribers8 August 2026 — 18,789 subscribers9 August 2026 — 18,798 subscribers10 August 2026 — 18,829 subscribers11 August 2026 — 18,863 subscribers12 August 2026 — 18,891 subscribers13 August 2026 — 18,920 subscribers15 August 2026 — 18,962 subscribers16 August 2026 — 19,051 subscribers17 August 2026 — 19,082 subscribers18 August 2026 — 19,103 subscribers19 August 2026 — 19,146 subscribers20 August 2026 — 19,194 subscribers22 August 2026 — 19,248 subscribers23 August 2026 — 19,302 subscribers25 August 2026 — 19,338 subscribers26 August 2026 — 19,367 subscribers27 August 2026 — 19,419 subscribers28 August 2026 — 19,443 subscribers28 August 2026 — 19,459 subscribers29 August 2026 — 19,487 subscribers30 August 2026 — 19,528 subscribers1 September 2026 — 19,571 subscribers1 September 2026 — 19,596 subscribers2 September 2026 — 19,657 subscribers4 September 2026 — 19,690 subscribers6 September 2026 — 19,804 subscribers9 September 2026 — 19,917 subscribers12 September 2026 — 19,994 subscribers13 September 2026 — 20,062 subscribers15 September 2026 — 20,105 subscribers17 September 2026 — 20,194 subscribers27 September 2026 — 20,475 subscribers6 August 202627 September 2026
35 measurements spanning 52 days, net +1,766. 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 18,444–20,740 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
27 Sept 2026, 14:5820,475+281
17 Sept 2026, 16:2120,194+89
15 Sept 2026, 17:3620,105+43
13 Sept 2026, 23:5920,062+68
12 Sept 2026, 04:1719,994+77
9 Sept 2026, 23:3619,917+113
6 Sept 2026, 16:0119,804+114
4 Sept 2026, 08:3619,690+33
2 Sept 2026, 23:3319,657+61
1 Sept 2026, 23:5419,596+25
1 Sept 2026, 02:3819,571+43
30 Aug 2026, 23:5419,528+41
29 Aug 2026, 23:3319,487+28
28 Aug 2026, 22:5719,459+16
28 Aug 2026, 00:1619,443+24
27 Aug 2026, 03:3919,419+52
26 Aug 2026, 02:1819,367+29
25 Aug 2026, 03:5419,338+36
23 Aug 2026, 19:2619,302+54
22 Aug 2026, 07:4619,248first reading

Engagement

859 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 55 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.29%
avg views ÷ 20,475 subscribers
Avg views / post
265
167 posts measured
Reaction rate
0.298%
reactions ÷ views · ER floor
Posts in window
167
of 859 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 44 of 167 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 September 2026
Posts held859 (6 August 2026 – 2 September 2026)
Views total44,213
Reactions total41
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 01:03 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.

Reaction mix

219 reactions across 178 posts, in 9 distinct kinds. The most used accounts for 87.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤19287.7%
👍62.74%
🤮62.74%
🫡52.28%
🤡41.83%
👎20.913%
💩20.913%
👏10.457%
😁10.457%

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 205 of the 859 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 219 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 859 most recent posts we hold, published 6 August 2026 to 2 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.

Recent posts

2 Sept 2026, 17:43 UTC221 viewsread 3 September 2026

#联邦报告 <https://t.me/gzafua> 【出击留名】:哥布林小马 【出击时间】:2026年9月某日 【老师艺名】:#宣宣 【联系方式】:@hhf666yh 【开课位置】:#顺德 【上课费用】:350p(半价) 【颜值身材】:人照8成 【身高体重】:175左右 【胸杯紧度】:目测C 【老师类型】:#御姐 【服务种类】:洗吹做 【情绪态度】:热情 【优点缺点】: ①缺点:去顺德路途遥远 ②优点:大蟒蛇,口活好 【自由描述】: 驱车1小时出击归来,满意而归,御姐真是YYDS,真人比照片好看。可惜昨天出击过一次,小弟有点疲软,在老师不懈努力下终于123出水。 报告仅供参考,请理性选择, 哥布林切勿对号入座的 报告提交给👉 莉莉 @Gzafua_bot👈

2 Sept 2026, 17:21 UTC258 viewsread 3 September 2026

#联邦报告 <https://t.me/gzafua> 【出击留名】:蔡澜 【出击时间】:9月2日 【老师艺名】:#丸子骨 【联系方式】:@lovee6278 【开课位置】:#南海万达 【上课费用】:p 【颜值身材】:人瘦奶大 【身高体重】:158/45 【胸杯紧度】:大C 【老师类型】:#嫩妹 【服务种类】:xcz 🐍 【情绪态度】:热情 【优点缺点】:必填 ①缺点:缺少战袍,卫生间还是简陋了点 ②优点:很热情服务也主动,叫声真实不作假 【自由描述】: 丸子骨第三返遍,今天好日子9月头炮打给了丸子骨,主要好久没见丸子骨热情上线了,今天看这新号的丸子骨在线活跃,我还以为是新老师来了,没想到还是我熟悉的丸子🤭,又给丸子骨撩几下就给懵逼的约上课,其实也是想9月开头不敢去扫其它新雷,还是先求个稳的先😏,还是老地方,摇控上楼,提前就给我留好门,我差点就到门口了,丸子骨也是在门口蹲着我😂早早开好门,一进门就直接跳起来抱着我🙈,我靠这老师是…

2 Sept 2026, 16:48 UTC227 viewsread 3 September 2026

#联邦报告 <https://t.me/gzafua> 【出击留名】:congtousuan 【出击时间】:8月的某天 【老师艺名】:#九沐 【联系方式】:@Runang01 【开课位置】:#禅城 【上课费用】:P 【颜值身材】:人照99成 【身高体重】:目测身高160 【胸杯紧度】:🐻B➕ 【老师类型】:#嫩妹 【服务种类】:课表上都有 【情绪态度】:热情满满 【优点缺点】: ①缺点:可惜没 69 跟🐍呀,不然满分百分百了 ②优点:女友感情绪价值到位 【自由描述】:感觉🐔🐔痒,逛逛购物车,看到 99 开课,马上约课出发,到地方被遥控了就赶紧上楼找老师。进来交完水费,嘘寒问暖了一下,老师叫我先洗澡,洗完澡老师也脱光光了,上床简单的亲亲嘴,亲亲奶,口的时候还算可以,舌头灵活的舔头,非常的舒服😌,前戏做完了开始正事,标准女上,老师压在身上会时不时说骚话,再加上老师身上的香味让我欲罢不能😍,可惜状态不佳,最后手打柠檬茶也没出水,只能洗…

2 Sept 2026, 16:28 UTC203 viewsread 3 September 2026

#联邦报告 <https://t.me/gzafua> 【出击留名】: 濑逼大神 【出击时间】:2026年9月 【老师艺名】:#雯雯 【联系方式】:@yge712 【开课位置】:#桂城 【上课费用】:700P 【颜值身材】:颜值如图7成吧,真人比图会好看,图开美颜过度了。身材紧致如图 【身高体重】:一米六五左右,九十来斤 【胸杯紧度】:B-,很紧 【老师类型】:#嫩妹 【服务种类】:自己看课表 【情绪态度】: 微笑、礼貌 【优点缺点】:必填 ①缺点: 有一丢丢烟味 ②优点: 身材紧致、态度友好、微笑待人 【自由描述】:预约老师,准时到达。开门见到老师,非常文静的打扮,青春美丽,如图7成吧,真人其实跟好看。非常满意,付费开始。老师有陪喜,嫩妹三件套,标准版。老师身材挺好,又很高。但是没什么肉,喜欢肥妹的慎入。123321,没记下就射了。收拾好,和老师拥抱分别。总体评价,嫩妹控可入。御姐控,服务控慎入。 报告仅供参考,请理性选择,…

2 Sept 2026, 16:24 UTC178 viewsread 3 September 2026

#联邦报告 <https://t.me/gzafua> 【出击留名】:杨教练右手很忙 【出击时间】:2026年8月30日 【老师艺名】:#baby大大 【联系方式】:@ddcftaa 【开课位置】:#南海 【上课费用】:800P 【颜值身材】:颜值9.5身材9 【身高体重】:166 【胸杯紧度】:C-左右 【老师类型】: #御姐 【服务种类】:课表都有做 【情绪态度】:很热情 【优点缺点】: ①缺点:没啥 ②优点:颜值高身材好服务🆙 【自由描述】:跟大大老师约好马上出发。进门就看见老师休闲御姐风气质凸显,又飒又美,非常妩媚,人也很热情,性格活泼挺健谈的不会有陌生人的疏离感和冷场的尴尬,聊了一会儿交完💦费去洗澡。 随后到床上开始FW,口很奈斯,口得时间久。期间还坐在床上,老师跪着在床前面口。口完之后,下面无异味。开始正戏,老师很火热很热情,就像干柴碰烈火般,日起来,大大老师表情享受,像是一直在高潮,妹妹下面不断流出湿…

2 Sept 2026, 16:19 UTC176 viewsread 3 September 2026

#联邦报告 <https://telegram.me/gzafua> 【出击留名】:陈真 【出击时间】:9.2 【老师艺名】:#小偌 【联系方式】:@xiaorohao 【开课位置】:#禅城 【上课费用】:包时 【颜值身材】:苗条、嫩妹 【身高体重】:167cm,48kg 【胸杯紧度】:b 【老师类型】:嫩妹 【服务种类】:xcz 课表有 【情绪态度】:热情,听话 【优点缺点】:女友感十足 【自由描述】: 进门看老师人照一致,真人比频道照片更好看。寒暄两句交水费。陪洗很认真。一开始蛇的时侯感觉没那么激情,但一番亲热调情后跟换了一个人一样,下面直接湿漉漉,老师也直接主动索吻,后面过程也是蛇饱饱了。正戏部分就不赘述了,课表有的都会做。配合度很高,下面也很紧,老师也很敏感,情绪价值给的很高。 报告提交给👉 莉莉 @Gzafua_bot 👈

2 Sept 2026, 16:18 UTC177 viewsread 3 September 2026

#联邦报告 <https://t.me/gzafua> 【出击留名】: 不留名 【出击时间】:2026年9月 【老师艺名】:#雯雯 【联系方式】:@yge712 【开课位置】:#桂城 【上课费用】:700P 【颜值身材】:颜值如图7成吧,真人神似萧亚轩和张韶涵。图P的过度了。身材高挑紧致,马甲线,A4腰,可以放手摸肚子。 【身高体重】:一米六3左右,45公斤 【胸杯紧度】:B,比超人条底裤还要紧 【老师类型】:#嫩妹 【服务种类】:自己看课表 【情绪态度】: 微笑、礼貌、大方、得体、温柔、耐心 【优点缺点】:必填 ①缺点: 停车场有点大,收费有点贵,电梯有点慢。 ②优点: 明星脸、有礼貌、女友感重、反馈真实。态度认真 【自由描述】:预约老师准时到达,准时开门。房间很大很好,床也很大。整洁。环境好评。老师本人穿粉色衬衫和漏腰牛仔裤,青春活力,老师颜值和图片有点远,真人是萧亚轩加张韶涵,妆容精致。高挑163以上,紧致非常,A4腰,马…

2 Sept 2026, 16:11 UTC279 views1 reactionsread 3 September 2026

#联邦报告 <https://telegram.me/gzafua> 【出击留名】:猪猪侠 【出击时间】:2026年8月31日 【老师艺名】:#可心 【联系方式】:@kexin2825 【开课位置】:#金沙洲,课室 【上课费用】600p 【颜值身材】本人比照片好看,还很白,身材很妙 【身高体重】160左右,很瘦 【胸杯紧度】:大的 【老师类型】:#嫩妹,自我感觉可御可甜(单选) 【服务种类】:足交 【情绪态度】:热情,很乐观,笑起来好甜(单选) 【优点缺点】: 1缺点:因为我只喜欢脚,开始帮我足交可能不太会 2优点:学的很快,要求都满足 【自由描述】:课室很干净,开门见到可心小姐姐,有点震惊哈,看了频道照片和见到本人不一样,现实更好看,完完全全的嫩妹型,开始之前很自觉带我去洗澡,手一直玩我大屌很舒服,手法也很温柔,但最吸引我的是她的玉足,看得大屌的我邦邦硬,我教她怎么给我足交,很有耐心去学,足的时候还有言语骚话不断,再加上看到玉…

❤1

2 Sept 2026, 15:46 UTC222 viewsread 3 September 2026

#联邦报告 <https://telegram.me/gzafua> 【出击留名】:熊猫 【出击时间】:2026年9月的某天 【老师艺名】:#乖乖 【联系方式】:@guaiguai9889 【开课位置】:#禅城 【上课费用】:一日伴游+包夜 【颜值身材】:可爱大胸嫩妹 【身高体重】:162 92 【胸杯紧度】:大D奶 【老师类型】:#嫩妹 【服务种类】:XCZ 水中萧等 【情绪态度】:热情 【优点缺点】: ①缺点:无 ②优点:服务态度一流 情绪价值拉满 新课室舒适 【自由描述】: 下雨天了怎么办?我好想你,那就CJ吧 等了好几周终于约上乖乖老师。因为下雨天怕迟到,提前几个小时出发到了附近闲逛,点一杯饮料坐下来看群里的师兄们唠嗑。也不知等了多久,叮,乖宝发信息说可以上去了,收拾行囊快乐出发! 还是熟悉的一袭乖乖学生妹打扮,嘘寒问暖后,端上一碗热热的鸡汤,有一种…

2 Sept 2026, 15:08 UTC240 viewsread 3 September 2026

#联邦报告 <https://t.me/gzafua> 【出击留名】:风花雪月 【出击时间】:2026年9月某日 【老师艺名】:#依依 【联系方式】:@yiyironggui 【开课位置】:#顺德 【上课费用】:p 【颜值身材】:人照9成 【身高体重】:165/100 【胸杯紧度】:胸B 【老师类型】:#嫩妹 【服务种类】:XCZ+超级大蟒🐍 【情绪态度】:热情 【优点缺点】: 缺点:无 优点:女友感强烈,舌钉🐍起来超级有感觉 【自由描述】: 又是一个有点无聊的夜晚。我翻了翻附近的名单,最终还是把目光停在了依依身上。课室偏远,以前一直只放在购物车里看着,这次终于下定决心约了她。 车子穿过几十个红绿灯,开了将近半个小时才到。上楼的时候心里其实有点紧张,也有点期待。门打开的瞬间,一个白白净净、个子高高的女孩站在我面前。她穿着一条简单的白色连衣裙,皮肤很白,脸是偏御姐的轮廓,可笑起来却带着一点软软的呆萌。我看着她,不知怎么就先笑了出来…

2 Sept 2026, 15:01 UTC417 viewsread 3 September 2026

#联邦报告 <https://telegram.me/gzafua> 【出击留名】:外卖佬 【出击时间】:2026年9月初 【老师艺名】:#小九 【联系方式】:@xiaojiu_521 【开课位置】:#桂城 【上课费用】:p 【颜值身材】:瘦底大波、人照7成,真人也漂亮 【身高体重】:目测160,90斤左右 【胸杯紧度】:目测罩杯有c了,紧度很可以, 【老师类型】: #御姐(单选) 【服务种类】: 亲亲、69、洗吹做制服毒龙 等 【情绪态度】: 热情 【优点缺点】: ①缺点:图p过头了,真人就很好看。熊有点点硬底,但是应该是真货。没有蛇 ②优点:会所技能,那口技不得了。下面非常紧 【自由描述】: 看到新上的妹子,果然预约。驱车到点后,妹子遥控上楼。进门后,看到妹子穿着白色吊带紧身衣,那对大灯把系度都鼓起来,下身穿着黑色制服齐比短裙,一头柔和的长发,这脸蛋挺好看的,就是图p过了。坐下来先尬聊一会,顺便焚香一根。自动交了水费之后,跟…

2 Sept 2026, 14:52 UTC316 viewsread 3 September 2026

#联邦报告 <https://telegram.me/gzafua> 【出击留名】:理塘 丁真的朋友 【出击时间】:2026年09月2日 【老师艺名】:#小翠 【联系方式】:@chanchengxiaocui 【开课位置】:#湾华 【上课费用】:九五400(半价卷) 【颜值身材】:照片9成 【身高体重】:160左右,丰满型 【胸杯紧度】:D➕ 【老师类型】:#御姐 【服务种类】:69、洗吹,毒龙 【情绪态度】:热情 【优点缺点】:大熊,一只手握不过来,口活顶级 ①缺点:暂无 ②优点:深喉无敌 【自由描述】:电梯要等,客流很多,进门一看老师那大车灯直接交水费,有陪浴还做了水中萧,大车灯又大又软,洗完澡正常AB面服务,舌头超级软毒龙恨不得把舌头全部放进去,完全不一样的感觉,老师很热情 一边看着老师一边给你口上帝视角,老师水特别多最喜欢的姿势还是69口活在禅城一流水平,直接顶到底,一边乳胶一边深喉在老师的高超技术下爽快出水,不催时间,…

Showing the 12 most recent of 859 posts we hold for @Gzffrr. 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

@Gzffrr 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
3 September 2026
Most recent edit
3 September 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 65 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

七七的报告群
@qiqi2006A · 415
13 posts
糖糖的报告频道
@tang_123321 · 18
13 posts
🌿小小的报告🌿
@XXXBGi · 771
9 posts
可可💅🏻禅城💅🏻抓龙筋💋报告库
@spa202607 · 214
7 posts
打瓦美少女梓欣宝宝后宫🏠
@zixi16668 · 1,890
7 posts
美美的花园
@ahn2213 · 462
6 posts
安安报告专属
@ananbaogzs · 133
6 posts
私人报告库
@gjkk8888 · 26
6 posts
金沙洲小曼花园
@zxqadf · 1,021
6 posts
九九
@Ruing0007 · 861
5 posts
梦瑶的小窝
@chfgvchcf · 392
5 posts
米乐🤳抓龙筋👄小窝
@mmy88869 · 95
5 posts
琪琪的小窝
@qiqi7813 · 536
4 posts
广东佛山南海语文丹丹老师
@zvhujkl · 881
4 posts
Nuomi的朋友圈
@NNNuuomi · 552
3 posts
广东佛山桂城千灯湖艾米的报告
@bbanyungong · 451
3 posts
芬达的小屋🛖
@fanta92900 · 429
3 posts
番禺💅🏻沫沫🤝报告清单
@gfac2026 · 58
3 posts
糖糖报告
@gzwha1238 · 18
3 posts
丸子骨的小🏠
@hxsad78996 · 1,139
3 posts
如烟温柔乡
@ruyanbaby77777 · 266
3 posts
💕小妍的报告
@xiaoyandeBG · 58
3 posts
雨嘉的小爸爸们👨
@yujia7889 · 3,557
3 posts
见崎鸣的后宫
@Jqm123456 · 2,666
2 posts
妍妍花园🌷
@Yanyan33665 · 2,816
2 posts
哆宝💋❤️爱爱🏠
@db5205 · 342
2 posts
涵涵的花园
@hanhanhan6996 · 88
2 posts
老公们的爱🏠
@mimi520ai · 77
2 posts
小紫琪
@nituio4 · 424
2 posts
热巴㊙️小世界
@reba5209 · 1,691
2 posts
佛山 大良。暖暖的小屋(开课)🉑上🚪
@scfsu · 1,319
2 posts
南海苏苏朋友圈
@susuyuyuy · 405
2 posts
08嫩妹甜甜的小窝
@tiantian56781 · 328
2 posts
禅城小翠
@xiaocui913 · 1,519
2 posts
小晴晴的朋友圈
@xjxjsjxjjxjjd11 · 888
2 posts
优米的朋友圈
@ymliuayue · 769
2 posts
朵朵的小空间👩‍🏫
@yunduo330 · 748
2 posts
颍心的朋友圈
@yx2026165 · 1,936
2 posts
小媛课堂
@yydth1314 · 277
2 posts
知晚时节再逢君
@zhiwanbufengjun · 536
2 posts
笨笨的个人频道
@benben8668 · 1,630
1 post
小鱼朋友圈
@gf8872 · 462
1 post
琪琪(有课室)
@hdid368 · 356
1 post
嘉嘉
@hdkkdncn73ei · 701
1 post
纯纯朋友圈
@iok65h · 1,197
1 post
姜夏的频道
@jxjxjxq · 895
1 post
筱萍🉐️爱窝❤️
@kekeai666 · 224
1 post
Kiki的水上乐园
@kikiainimen · 3,043
1 post

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 34 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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

“广州佛山联邦报告榜” (@Gzffrr), 20,475 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/Gzffrr.

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.