Telegram RegisterThe public register of Telegram

Channel

广州佛山联邦老师榜

@Gzffol

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry

65,726subscribers

+1,525 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-1002338195706
TypeChannel
Username@Gzffol
Description广州佛山联邦公开榜,上榜联系莉莉 @Gzafua_bot 【出击群】: @gzafua 【老师榜】: @Gzffol 【邦女郎】: @DFGVAQ 【在线群】: @FSLBSL 【报告库】: @Gzffrr 【影像区】: @FSDEO 【分类榜】: @FSLBXQQ 【商家榜】: @Gzffcl 【中介榜】: @FSFDAEI 【和连胜】: @GZLB2 【管理员】: @Gzafua_bot @Gflili2026_bot
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 live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/Gzffol

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 84% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@ADVHJI/88836 Aug 2026, 13:00 UTC@Gzffol/40787 · this entry6 Aug 2026, 13:00 UTC1.00under a minute
@Gzffol/40798 · this entry6 Aug 2026, 14:00 UTC@ADVHJI/88876 Aug 2026, 14:00 UTC1.00under a minute
@ADVHJI/88896 Aug 2026, 15:00 UTC@Gzffol/40800 · this entry6 Aug 2026, 15:00 UTC1.00under a minute
@Gzffol/40931 · this entry7 Aug 2026, 11:30 UTC@ADVHJI/89057 Aug 2026, 11:30 UTC1.00under a minute
@ADVHJI/89107 Aug 2026, 12:30 UTC@Gzffol/40936 · this entry7 Aug 2026, 12:30 UTC1.00under a minute
@Gzffol/40947 · this entry7 Aug 2026, 15:30 UTC@ADVHJI/89217 Aug 2026, 15:30 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@ADVHJI10 (8/8 hand-verifiable sample passed)0.99under a minutethis entry (100)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 16 comparable posts for this entry, running 6 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @Gzffol — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

64,20165,72664,963.56 August 2026 — 64,201 subscribers7 August 2026 — 64,303 subscribers8 August 2026 — 64,761 subscribers9 August 2026 — 64,962 subscribers10 August 2026 — 65,186 subscribers11 August 2026 — 65,450 subscribers12 August 2026 — 65,726 subscribers6 August 202612 August 2026
7 measurements spanning 6 days, net +1,525. 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 63,972–65,955 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 10:1465,726+276
11 Aug 2026, 07:4665,450+264
10 Aug 2026, 06:3665,186+224
9 Aug 2026, 05:0364,962+201
8 Aug 2026, 04:5364,761+458
7 Aug 2026, 01:3164,303+102
6 Aug 2026, 17:3264,201first reading

Engagement

78 posts held, back to 6 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.849%
avg views ÷ 65,726 subscribers
Avg views / post
558
71 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
78
of 78 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 12 August 2026
Posts held78 (6 August 202612 August 2026)
Views total39,618
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:12 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
2,300
Videos
313
Links
441

Lifetime counters from Telegram’s own channel header, read 12 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
3m 50s
Average length
9s

Measured directly from 25 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.

Recent posts

12 Aug 2026, 16:02 UTC435 viewsread 12 August 2026

🎉 联邦~桂城娟儿💃🏻福利抽奖🎰 🎉 联邦~龜仙人赞助桂城英英💃🏻红包福利抽奖🎰 🎉 联邦~禅城扶光💃🏻福利抽奖🎰 🎉 联邦~顺德糖糖💃🏻福利抽奖🎰 🎉 联邦~金沙洲糖糖💃🏻福利抽奖🎰 🎉 联邦~禅城果果💃🏻福利抽奖🎰 🎉 联邦~禅城抓龙筋小柒💃🏻福利抽奖🎰 🎉 联邦~禅城小晗💃🏻福利抽奖🎰 🎉 联邦~金沙洲芊芊💃🏻福利抽奖🎰 🎉 联邦~顺德宣宣💃🏻福利抽奖🎰 🎉 联邦~桂城小花💃🏻福利抽奖🎰 🎉 联邦~禅城紫沫💃🏻福利抽奖🎰 🎉 联邦~禅城惠子💃🏻福利抽奖🎰 🎉 联邦~桂城李诗悦💃🏻福利抽奖🎰 🎉 联邦~禅城攸攸💃🏻福利抽奖🎰 🎉 联邦~金沙洲果果💃🏻福利抽奖🎰 🎉 联邦~禅城左左💃🏻福利抽奖🎰

12 Aug 2026, 16:01 UTC396 viewsread 12 August 2026
Photo

😍艺名: #洋娃娃 #禅城 #视频验证 💵课费: #400P #800PP 📱私聊: @idii666 🖥频道: https://t.me/yangwawa168 🔖标签: #69式 #舌吻 #御姐 #上门 😀报告: 👉报告19👈💚👉报告20👈 👉报告15👈💚👉报告16👈 👉报告17👈💚👉报告18👈 ------------------------ ✏️报告模版📩提交报告🔈广佛联邦

12 Aug 2026, 15:00 UTC595 viewsread 12 August 2026
Photo

💐💐💐 开奖了 💐💐💐 联邦~7月奔周 第一轮白嫖券抽奖🎰 开奖了 抽奖人数:620,抽奖号数:6502 1. 骑进村(手法也是法,足道也是道,道法自然除心魔)【祝福44次】 中得:第一轮 600元奔周白嫖券 抽奖说明: 1,本活动由联邦广州佛山出击群赞助。 2,中白嫖券先拉黑,24小时内与莉莉 @Gzafua_bot 确认中奖报销要求。 3,新规:近期军团重复发言频繁。故立新规,中奖者需开奖前60日内向莉莉提交过至少一份报告,否则当无效重抽~无效重抽~无效重抽。 运气爆棚!热烈祝贺! 福至心灵,终得佳奖。 恭祝荣获奖品,好运常伴。

12 Aug 2026, 12:18 UTC≈1,220 viewsread 12 August 2026
Photo

😍艺名: #晴儿 #禅城 #视频验证 💵课费: #700P #1300PP 📱私聊: @gjjjv689 🖥频道: https://t.me/fhjkkk690 🔖标签: #舌吻 #69式 #双飞 #御姐 📹影像:👉合照1👈💚👉合照2👈 😀报告: 👉双飞1👈 👉报告29👈💚👉报告30👈 👉报告31👈💚👉报告32👈 👉报告27👈💚👉报告28👈 ------------------------ ✏️报告模版📩提交报告🔈广佛联邦

12 Aug 2026, 10:41 UTC932 viewsread 12 August 2026
Photo

😍艺名: #江瑾 #三水 #视频验证 💵课费: #598P #1098PP 📱私聊: @Nellie0099 🖥频道: https://t.me/Nellie0097 🔖标签: #口爆 #69式 #制服 #kiss 😀报告: 👉报告7👈💚👉报告2👈 👉报告3👈💚👉报告4👈 👉报告5👈💚👉报告6👈 ------------------------ ✏️报告模版📩提交报告🔈广佛联邦

12 Aug 2026, 06:26 UTC161 viewsread 12 August 2026
Photo

😍艺名: #悦悦 #桂城 #视频验证 💵课费: #499 #699 📱私聊: @xiangshuixixi 🖥频道: https://t.me/Axxxx999 🔖标签: #抓龙筋 😀报告: 👉报告1👈👑👉报告2👈 👉报告3👈👑👉报告4👈 👉报告5👈 ------------------------ ✏️报告模版📩提交报告🔈广佛联邦

12 Aug 2026, 06:24 UTC161 viewsread 12 August 2026
Photo

😍艺名: #六六 #禅城 #视频验证 💵课费: #600P #1200PP 📱私聊: @hsdh5 🖥频道: https://t.me/jsghbb521 🔖标签: #69式 #舌吻 #嫩妹 #上门 😀报告: 👉报告7👈❤️👉报告8👈 👉报告9👈💋👉报告10👈 👉报告5👈💋👉报告6👈 ------------------------ ✏️报告模版📩提交报告🔈广佛联邦

12 Aug 2026, 05:31 UTC424 viewsread 12 August 2026
Photo

😍艺名: #雅雅 #禅城 #视频验证 💵课费: #399 #599 📱私聊: @Af88336 🖥频道: https://t.me/sap202601 🔖标签: #抓龙筋 #龟责 #寸止 #前列腺高潮 #独创脱敏术 😀报告: 👉报告1👈🔫👉报告2👈 👉报告3👈 ------------------------ ✏️报告模版📩提交报告🔈广佛联邦

12 Aug 2026, 05:20 UTC430 viewsread 12 August 2026
Photo

😍艺名: #小丫头 #禅城 #视频验证 💵课费: #700P #1400PP 📱私聊: @xiaoyatou999 🖥频道: https://t.me/xiaoyatou8 🔖标签: #嫩妹 #69式 #舌吻 😀报告: 👉报告1👈💚👉报告2👈 👉报告3👈💚👉报告4👈 👉报告5👈💚👉报告6👈 ------------------------ ✏️报告模版📩提交报告🔈广佛联邦

11 Aug 2026, 16:20 UTC445 viewsread 11 August 2026

🎉 联邦~7月奔周 第一轮白嫖券抽奖🎰 🎉 联邦~金沙洲贝贝💃🏻福利抽奖🎰 🎉 联邦~禅城大良柚子💃🏻福利抽奖🎰 🎉 联邦~三水卡卡*钱钱💃🏻双飞福利抽奖🎰 🎉 联邦~南海苏苏💃🏻福利抽奖🎰 🎉 联邦~金沙州小鱼儿💃🏻福利抽奖🎰 🎉 联邦~桂城糖糖💃🏻福利抽奖🎰 🎉 联邦~桂城娟儿💃🏻福利抽奖🎰 🎉 联邦~桂城慧慧💃🏻福利抽奖🎰 🎉 联邦~顺德小歪💃🏻福利抽奖🎰 🎉 联邦~龜仙人赞助桂城英英💃🏻红包福利抽奖🎰 🎉 联邦~禅城扶光💃🏻福利抽奖🎰 🎉 联邦~顺德糖糖💃🏻福利抽奖🎰 🎉 联邦~金沙洲糖糖💃🏻福利抽奖🎰 🎉 联邦~禅城果果💃🏻福利抽奖🎰

11 Aug 2026, 16:00 UTC557 viewsread 11 August 2026
Photo

😍艺名: #甜宝 #禅城 #视频验证 💵课费: #700P #1300PP 📱私聊: @tianbao_520 🖥频道: https://t.me/tianbao163 🔖标签: #嫩妹 #舌吻 #69式 #上门 😀报告: ------------------------ ✏️报告模版📩提交报告🔈广佛联邦

11 Aug 2026, 13:34 UTC≈1,010 viewsread 11 August 2026
Photo

😍艺名: #小海棠 #海珠 #视频验证 💵课费: #500P #900PP 📱私聊: @ht52101 🖥频道: https://t.me/+MgVeWIc0A4A4ZjA1 🔖标签: #御姐 #69式 😀报告: ------------------------ ✏️报告模版📩提交报告🔈广佛联邦

Showing the 12 most recent of 78 posts we hold for @Gzffol. 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 — 16,384 of 1,151,006entries 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.

Forward network

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 35 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“广州佛山联邦老师榜” (@Gzffol), 65,726 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Gzffol.

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.