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Channel

广州嫩妹榜【备胎】

@gznmbtb

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

13,601subscribers

+1,944 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-1003864538456
TypeChannel
Username@gznmbtb
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/gznmbtb

Topic

Giveaways & airdrops — 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 50% 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
@GZNMBYBANG/942996 Aug 2026, 17:35 UTC@gznmbtb/29063 · this entry6 Aug 2026, 17:35 UTC1.00under a minute
@GZNMBYBANG/943026 Aug 2026, 17:36 UTC@gznmbtb/29065 · this entry6 Aug 2026, 17:36 UTC1.00under a minute
@GZNMBYBANG/943056 Aug 2026, 17:42 UTC@gznmbtb/29067 · this entry6 Aug 2026, 17:42 UTC1.00under a minute
@GZNMBYBANG/943086 Aug 2026, 17:45 UTC@gznmbtb/29069 · this entry6 Aug 2026, 17:45 UTC1.00under a minute
@GZNMBYBANG/948207 Aug 2026, 12:48 UTC@gznmbtb/29333 · this entry7 Aug 2026, 12:48 UTC1.00under a minute
@GZNMBYBANG/948267 Aug 2026, 14:49 UTC@gznmbtb/29337 · this entry7 Aug 2026, 14:49 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@GZNMBYBANG10 (8/8 hand-verifiable sample passed)1.00under a minute@GZNMBYBANG (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. 10 of the 10 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 13 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 @GZNMBYBANG. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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

11,65714,60013,128.56 August 2026 — 11,657 subscribers7 August 2026 — 11,734 subscribers8 August 2026 — 11,817 subscribers9 August 2026 — 11,857 subscribers10 August 2026 — 11,884 subscribers11 August 2026 — 11,926 subscribers12 August 2026 — 11,977 subscribers14 August 2026 — 12,015 subscribers15 August 2026 — 12,072 subscribers16 August 2026 — 12,112 subscribers17 August 2026 — 12,190 subscribers18 August 2026 — 12,255 subscribers19 August 2026 — 12,269 subscribers21 August 2026 — 12,314 subscribers22 August 2026 — 12,395 subscribers24 August 2026 — 12,438 subscribers25 August 2026 — 12,457 subscribers26 August 2026 — 12,547 subscribers27 August 2026 — 12,580 subscribers28 August 2026 — 12,653 subscribers29 August 2026 — 12,690 subscribers30 August 2026 — 12,715 subscribers31 August 2026 — 12,736 subscribers1 September 2026 — 12,851 subscribers2 September 2026 — 13,718 subscribers3 September 2026 — 14,374 subscribers5 September 2026 — 14,600 subscribers8 September 2026 — 13,833 subscribers11 September 2026 — 13,477 subscribers13 September 2026 — 13,531 subscribers14 September 2026 — 13,538 subscribers16 September 2026 — 13,531 subscribers18 September 2026 — 13,601 subscribers13,6016 August 202618 September 2026
33 measurements spanning 43 days, net +1,944. 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 11,216–15,041 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 20:5513,601+70
16 Sept 2026, 11:4113,531-7
14 Sept 2026, 17:3613,538+7
13 Sept 2026, 02:0213,531+54
11 Sept 2026, 06:3913,477-356
8 Sept 2026, 10:2013,833-767
5 Sept 2026, 06:3814,600+226
3 Sept 2026, 13:0214,374+656
2 Sept 2026, 08:4413,718+867
1 Sept 2026, 09:0612,851+115
31 Aug 2026, 07:0512,736+21
30 Aug 2026, 03:4712,715+25
29 Aug 2026, 05:4312,690+37
28 Aug 2026, 04:0412,653+73
27 Aug 2026, 00:4812,580+33
26 Aug 2026, 03:3212,547+90
25 Aug 2026, 05:3212,457+19
24 Aug 2026, 04:4412,438+43
22 Aug 2026, 10:5712,395+81
21 Aug 2026, 00:1312,314first reading

Engagement

345 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 47 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.286%
avg views ÷ 13,601 subscribers
Avg views / post
38.9
81 posts measured
Reaction rate
1.05%
reactions ÷ views · ER floor
Posts in window
112
of 345 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 3 of 81 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 held345 (6 August 20262 September 2026)
Views total3,152
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 19:48 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

Video runtime
14m 48s
Average length
11s

Measured directly from 78 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

3 reactions across 3 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3100.0%

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 5 of the 345 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 345 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, 18:03 UTC16 viewsread 2 September 2026
Photo

📍#广州 #天河 #岗顶地铁口 全新场地💎专注品质💎 店名: #鸿悦会所#🔥9️⃣4️⃣ ✨营业时间:12:00-05:00, ❤️🥰全新项目: 🔥主题服饰👙~黑丝诱惑👚 ❤️项目一预约价569⌚️70 不限💦 🤐课程: 花式珍控半🍎,激情互动🚻,AB面🐻慢油采🐝,💃偷🍑,老汉推🤩,6️⃣9️⃣式▪▪,🖤黑丝诱惑(可撕),枕边游戏花😗😗 式秀手法:✋🦶🦵🐻 ❤️项目二预约价639 ⌚️70 不限💦 跪地👅🥚红唇绕👅🍂🍂。颜值高,服务可3t,十和项目一服务,哪里敏感就👅哪里,❤️配合度极高。 设施:冲凉区,舒适休息厅免费停车2小时🅿️,可留宿,环境温馨足足服务 地址导航:鸿悦休闲会所🧭 备注:本店❌5️⃣8️⃣ 提交详细体验报告:立返20元 三人组队(主客)返60元红包 四人同行(主客)返80元红包 五人以上(主客) 返100元红包 🚀私聊: @hongyue3312 🪨微信:Zheng1g 🪨微信:BunnyLyw 😵电话

2 Sept 2026, 15:27 UTC60 viewsread 2 September 2026
Photo

✅昵称:#天河球球 女友型 📍地区:#天河 😘水费:#700p ✈️电报:@quiqui8899 📣标签: #嫩妹 ☎️预约上课

2 Sept 2026, 15:03 UTC58 viewsread 2 September 2026
Photo

✅昵称:#柒柒 📍地区:#黄埔 😘水费:#700p ✈️电报:@qiqi6186188 📣标签: #嫩妹 #长腿 #大胸 ☎️预约上课

2 Sept 2026, 07:13 UTC20 viewsread 2 September 2026
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✅昵称:#陈昔言 📍地区:#天河 😘水费:#1000P ✈️电报: @gzchenxiyan 📣标签: #嫩妹 ps:评论区输入 陈昔言 查看狼友评价 ☎️预约上课

2 Sept 2026, 07:12 UTC21 viewsread 2 September 2026
Photo

🎰 【府上猫猫半价 抽奖活动】 🎫 加入的前置频道: 🎫 加入 —— 广州嫩妹名探【重生府】 🎫 加入 —— 广州嫩妹名探【重生榜】 🎫 加入 —— 广州嫩妹名探甄选 🎫 加入 —— 广州嫩妹备用榜 🎫 加入 —— 广州嫩妹榜【备胎】 🎫 加入 —— 广州嫩妹备用府 🎫 加入 —— 猫猫的蘑菇屋🍄‍🟫 🎟️ 要求活动期间群内发言数 20 🎁 奖品内容: 半价/p × 1 p-100 × 3 pp-200 × 2 💡 活动说明: 👉🏿 ❶ 自开奖时间起 3天内有效 ∴ 请在3日内约课(7天内兑奖) 👉🏿❷炸号中奖作废! 👉🏿❸出击完7日内提供详细的报告提交: @Chenyaoyao1_bot (否则拉黑挂榜) 👉🏿❹ 严禁转让,买卖 发现后永久拉黑! 老师兑奖严格按照 开奖信息 跳转兑奖! 📅 开奖日期: (UTC + 8) 2026年09月04日 15时11分11秒 ⚡️ 加成说明:

2 Sept 2026, 07:10 UTC17 viewsread 2 September 2026
Photo

🎰 【府上诺雨半价 抽奖活动】 🎫 加入的前置频道: 🎫 加入 —— 广州嫩妹名探【重生府】 🎫 加入 —— 广州嫩妹名探【重生榜】 🎫 加入 —— 广州嫩妹名探甄选 🎫 加入 —— 广州嫩妹备用榜 🎫 加入 —— 广州嫩妹榜【备胎】 🎫 加入 —— 广州嫩妹备用府 🎫 加入 —— 诺雨的小木屋🏠 🎟️ 要求活动期间群内发言数 20 🎁 奖品内容: 半价/p × 1 p-100 × 3 💡 活动说明: 👉🏿 ❶ 自开奖时间起 3天内有效 ∴ 请在3日内约课(7天内兑奖) 👉🏿❷炸号中奖作废! 👉🏿❸出击完7日内提供详细的报告提交: @Chenyaoyao1_bot (否则拉黑挂榜) 👉🏿❹ 严禁转让,买卖 发现后永久拉黑! 老师兑奖严格按照 开奖信息 跳转兑奖! 📅 开奖日期: (UTC + 8) 2026年09月04日 15时10分00秒 ⚡️ 加成说明: ⚡️ 加成消耗:5个嫩妹币

2 Sept 2026, 06:54 UTC19 viewsread 2 September 2026
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✅昵称:#猫猫 📍地区:#番禺 😘水费:#700p ✈️电报:@maomi0802 📣标签: #嫩妹 #舌吻 ☎️预约上课

2 Sept 2026, 06:49 UTC21 viewsread 2 September 2026
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✅昵称:#小蜜桃 📍地区:#天河 😘水费:#500p ✈️电报:@xiaomitaoya 📣标签: #嫩妹 ☎️预约上课

2 Sept 2026, 06:48 UTC17 viewsread 2 September 2026
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✅昵称:#雨露 📍地区:#天河 😘水费:#600p ✈️电报:@yulu1314 📣标签: #嫩妹 ☎️预约上课

Showing the 12 most recent of 345 posts we hold for @gznmbtb. 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.

Mentions

Named by 76 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“广州嫩妹榜【备胎】” (@gznmbtb), 13,601 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/gznmbtb.

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.