Telegram RegisterThe public register of Telegram
Telegram profile photo for 广州奶茶咖啡馆

Channel

广州奶茶咖啡馆

@GZGY93

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

14,990subscribers

+2,372 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-1002333300289
TypeChannel
Username@GZGY93
Description🈺营业时间🈺12点-24点 💹预约价:500 交流聊天群: @GZGYQ @gzgyq 订阅群: @GZGY93 报告群: @GZGY92 在线预约: @ALEX13145200 双向机器人: @Emma2523_bot 在线预约TG: @ALEX13148866 双向机器人: @naichakafei_bot 与你:19733233emma 😘😘😘服务内容: 丝袜 调情 诱惑 胸推 唇吸 高山流水 漫游 应有尽有!
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 live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/GZGY93

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 11 September 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 the other topics.

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 in near-verbatim form on 2 other registered channels. 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
@xcthbg/74105 Aug 2026, 08:30 UTC@GZGY93/14582 · this entry5 Aug 2026, 08:34 UTC1.004 minutes
@xcthbg/746312 Aug 2026, 13:41 UTC@GZGY93/14764 · this entry12 Aug 2026, 13:50 UTC1.009 minutes
@xcthbg/751417 Aug 2026, 08:31 UTC@GZGY93/14880 · this entry17 Aug 2026, 08:37 UTC1.007 minutes
@xcthbg/756524 Aug 2026, 07:36 UTC@GZGY93/15059 · this entry24 Aug 2026, 07:53 UTC1.0016 minutes
@xcthbg/761431 Aug 2026, 15:22 UTC@GZGY93/15267 · this entry31 Aug 2026, 15:24 UTC1.002 minutes
@xcthbg/80262 Nov 2026, 12:09 UTC@GZGY93/16285 · this entry2 Nov 2026, 12:09 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@xcthbg6 (6/6 hand-verifiable sample passed)1.005 minutes@xcthbg (6–0)
@GBTBGBD17 (8/8 hand-verifiable sample passed)1.004 minutes@GBTBGBD (16–1)

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. 5 of the 6 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 143 comparable posts for this entry, running 1 August 2026 to 11 November 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).

Recorded under the keys clone_copy · clone_mutual, last confirmed 12 November 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.

Growth

12,15914,99013,574.56 August 202611 November 2026
65 measurements spanning 97 days, net +2,372. 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 11,734–15,415 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 21:3614,990+597
10 Nov 2026, 01:4914,393+252
8 Nov 2026, 13:1014,141-67
7 Nov 2026, 08:3914,208-29
6 Nov 2026, 11:4914,237-16
5 Nov 2026, 09:3414,253-24
4 Nov 2026, 08:3714,277+112
3 Nov 2026, 09:3614,165-178
2 Nov 2026, 12:3114,343+4
1 Nov 2026, 13:0614,339-24
31 Oct 2026, 12:5014,363-5
30 Oct 2026, 11:4814,368+19
29 Oct 2026, 09:0614,349+351
27 Oct 2026, 10:3713,998-4
26 Oct 2026, 13:4614,002-7
25 Oct 2026, 13:3414,009-187
24 Oct 2026, 13:3114,196-31
23 Oct 2026, 11:2714,227-112
22 Oct 2026, 13:1714,339+48
21 Oct 2026, 06:5914,291first reading

Engagement

164 posts held, back to 1 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 75 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.77%
avg views ÷ 14,990 subscribers
Avg views / post
715
44 posts measured
Reaction rate
0.085%
reactions ÷ views · ER floor
Posts in window
44
of 164 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 16 of 44 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 12 November 2026
Posts held164 (1 August 2026 – 12 November 2026)
Views total31,449
Reactions total13
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 10:13 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
≈165
Videos
≈13
Links
≈1,240

Lifetime counters from Telegram’s own channel header, read 12 November 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.

Reaction mix

42 reactions across 35 posts, in 2 distinct kinds. The most used accounts for 97.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4197.6%
👏12.38%

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 52 of the 164 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 42 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 164 most recent posts we hold, published 1 August 2026 to 12 November 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

Telegram’s own ‘edited’ marker: 0 of 44 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

12 Nov 2026, 09:20 UTC60 views1 reactionsread 12 November 2026
Photo

🎉 奶茶咖啡工兵团半价福利抽奖 🎁 奖品清单 口令红包18.8 * 2 388直享券 * 1 80优惠券 * 5 🛡️ 参与条件 - 加入 广州修车工兵团 - 加入 广州工兵团亲测榜 - 加入 广州工兵团报告榜 - 加入 工兵团推荐榜 - 加入 广州奶茶咖啡馆 - 参加抽奖后需在 广州修车工兵团 内发言20次 └ 群内发送“抽奖进度”查看完成度(每日限5次) - 必须设置用户名 🔮 工兵值加成 - 加成消耗:2工兵值 - 加成上限:10次 - 加成一次增加一个抽奖号,提高中奖率 ⌛️ 抽选时刻 - 2026-11-14 22:01 📜 抽奖说明 1:兑奖请联系 @ALEX13145200 ; 2:开奖7天内没有兑奖的,则过期无效; 3:兑奖出击完需要提交详细报告!

❤1

11 Nov 2026, 23:16 UTC251 views1 reactionsread 12 November 2026
Photo

今天排期(11.12) 💫💫💫限时优惠活动带报告4️⃣7️⃣0️⃣不带报告5️⃣0️⃣0️⃣ 🧡Emma: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡筱筱: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡小苹果: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 📱预约:@ALEX13145200 🤖双向: @Emma2523_bot 📱预约:@ALEX13148866 🤖双向:@naichakafei_bot

❤1

11 Nov 2026, 12:34 UTC214 viewsread 11 November 2026
Photo

明天排期(11.12) 💫💫💫限时优惠活动带报告4️⃣7️⃣0️⃣不带报告5️⃣0️⃣0️⃣ 🧡Emma: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡筱筱: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡小苹果: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 📱预约:@ALEX13145200 🤖双向: @Emma2523_bot 📱预约:@ALEX13148866 🤖双向:@naichakafei_bot

11 Nov 2026, 06:30 UTC478 viewsread 12 November 2026
Photo

💐💐💐 开奖了 💐💐💐 【桃花】奶茶咖啡福利活动 开奖了 抽奖人数:445,抽奖号数:540 1. 涛声依旧【祝福1次】 中得:18.8口令 2. 三件衫的周日 中得:18.8口令 3. 123456【祝福1次】 中得:80优惠价 4. 股神巴菲特【祝福30次】 中得:80优惠价 5. 画家【祝福3次】 中得:80优惠价 6. cc_666 中得:80优惠价 7. HfefbEajaa 中得:80优惠价 抽奖说明: ❶ 原价减免,自开奖时间起 7 天内兑奖 联系:@ALEX13145200 ❷ 炸号中奖作废!抽中半价拉黑30天,按要求提交报告后解除: @PeachBGbot ❸ 连续多次半价未出击,或未按要求提交报告永久拉黑抽奖 ✔️ 转让需经老师本人同意,任何形式买卖永久拉黑 🔍 杜绝黑幕,点击查看本次开奖全程验证

10 Nov 2026, 23:43 UTC243 viewsread 11 November 2026
Photo

今天排期(11.11) 💫💫💫限时优惠活动带报告4️⃣7️⃣0️⃣不带报告5️⃣0️⃣0️⃣ 🧡Emma: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡筱筱: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡小苹果: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 📱预约:@ALEX13145200 🤖双向: @Emma2523_bot 📱预约:@ALEX13148866 🤖双向:@naichakafei_bot

10 Nov 2026, 17:02 UTC78 viewsread 10 November 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7040620328

10 Nov 2026, 17:02 UTC75 viewsread 10 November 2026
Photo

TG必备的搜索引擎,快搜kuai帮你发现有趣群组、频道、视频、音乐、电影、新闻 | Find cool stuff all in one bot! 机器人:@kuai @kuaia @kuaiaa 👉 https://t.me/kuaia?start=a_38FSXHZ

10 Nov 2026, 12:36 UTC204 viewsread 10 November 2026
Photo

今天排期(11.11)新地方 💫💫💫限时优惠活动带报告4️⃣7️⃣0️⃣不带报告5️⃣0️⃣0️⃣ 🧡Emma: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡筱筱: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡小苹果: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 📱预约:@ALEX13145200 🤖双向: @Emma2523_bot 📱预约:@ALEX13148866 🤖双向:@naichakafei_bot

10 Nov 2026, 08:35 UTC46 viewsread 10 November 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7040620328

10 Nov 2026, 04:19 UTC183 views1 reactionsread 10 November 2026
Photo

今天排期(11.10)新地方 💫💫💫限时优惠活动带报告4️⃣7️⃣0️⃣不带报告5️⃣0️⃣0️⃣ 🧡Emma: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡筱筱: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡小苹果: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 📱预约:@ALEX13145200 🤖双向: @Emma2523_bot 📱预约:@ALEX13148866 🤖双向:@naichakafei_bot

❤1

9 Nov 2026, 12:00 UTC248 viewsread 9 November 2026
Photo

明天排期(11.10)新地方 💫💫💫限时优惠活动带报告4️⃣7️⃣0️⃣不带报告5️⃣0️⃣0️⃣ 🧡Emma: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡筱筱: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡小苹果: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡夕夕: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 📱预约:@ALEX13145200 🤖双向: @Emma2523_bot 📱预约:@ALEX13148866 🤖双向:@naichakafei_bot

9 Nov 2026, 07:50 UTC91 viewsread 9 November 2026
Photo

今天排期(11.9)新地方 💫💫💫限时优惠活动带报告4️⃣7️⃣0️⃣不带报告5️⃣0️⃣0️⃣ 🧡Emma: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡筱筱: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 🧡小苹果: 12点-13.30点-15点-16.30点-18点-19.30点-21点-22.30点 📱预约:@ALEX13145200 🤖双向: @Emma2523_bot 📱预约:@ALEX13148866 🤖双向:@naichakafei_bot

Showing the 12 most recent of 164 posts we hold for @GZGY93. 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 recorded as deleted after publishing

We recorded 18 posts on @GZGY93 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
5 November 2026
Median time before seen missing
28 hours
Seen missing in the last 30 days
5

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 9 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“广州奶茶咖啡馆” (@GZGY93), 14,990 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/GZGY93.

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.