Telegram RegisterThe public register of Telegram

Channel

广州奶茶咖啡馆

@GZGY93

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

12,317subscribers

-301 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
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 live13 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/GZGY93

Growth

12,29712,61812,457.56 August 2026 — 12,618 subscribers6 August 2026 — 12,618 subscribers7 August 2026 — 12,554 subscribers8 August 2026 — 12,429 subscribers9 August 2026 — 12,297 subscribers10 August 2026 — 12,416 subscribers11 August 2026 — 12,433 subscribers12 August 2026 — 12,351 subscribers13 August 2026 — 12,317 subscribers12,3176 August 202613 August 2026
9 measurements spanning 7 days, net -301. 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 12,249–12,666 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 11:1312,317-34
12 Aug 2026, 08:3212,351-82
11 Aug 2026, 05:4112,433+17
10 Aug 2026, 03:0112,416+119
9 Aug 2026, 04:1212,297-132
8 Aug 2026, 04:5112,429-125
7 Aug 2026, 02:2612,554-64
6 Aug 2026, 20:3012,618no change
6 Aug 2026, 20:1912,618first reading

Engagement

37 posts held, back to 1 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 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.81%
avg views ÷ 12,317 subscribers
Avg views / post
592
37 posts measured
Reaction rate
0.093%
reactions ÷ views · ER floor
Posts in window
37
of 37 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 12 of 37 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 August 2026
Posts held37 (1 August 202612 August 2026)
Views total21,915
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 03:28 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

9 reactions across 9 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9100.0%

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 12 of the 37 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 9reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 37 most recent posts we hold, published 1 August 2026 to 12 August 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

12 Aug 2026, 23:28 UTC108 viewsread 13 August 2026
Photo

今天排期(08.13) 💫限时优惠 预约价480(带报告预约价460) 💫双飞480+388 加中438 🧡Emma: 12点-13.30点-15点-16.30点-18点-19.30点-21点 🧡筱筱: 12点-13.30点-15点-16.30点-18点-19.30点-21点 🧡小柔: 15点-16.30点-18点-19.30点-21点 📱预约: @ALEX13145200 🤖双向:@Emma2523_bot

12 Aug 2026, 13:55 UTC200 viewsread 13 August 2026
Forwarded from @GZsnyjbgj

【少御报告】https://t.me/GZsnyjhj 【老师艺名】:#Emma 【联系方式】:@ALEX13145200 【所在位置】:#猎德 【验证留名】:匿名 【验证时间】:2026.8.12 【课程价格】:480 【颜值身材】:8.5 【服务内容】:💋,✈️,🐍 【服务态度】:8.8 【优点缺点】:性价比高 【推荐程度】: 9 【体验过程】: 很久没来奶茶咖啡,今天预约了Emma,遥控上楼,位置比较清晰,穿着粉色的女仆装,领我进房的时候给我拿了一瓶水,迅速的脱衣服去冲凉,回来体验Emma的服务,从上亲到下,从下又亲到上,先舔蛋蛋慢慢的舔上来💋,💋得很舒服, 一边🐍一边出水,中间休息的时候会帮我按摩,聊的很愉快,慢慢的挑动我又想要第二次,总体的体验都不错,喜欢服务聊天的可以,值得一试 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 报告提交:@yanlili_bot

12 Aug 2026, 13:50 UTC189 viewsread 13 August 2026

【修车桃花污】https://t.me/gzxcth5 【老师艺名】:#Emma 【联系方式】:@ALEX13145200 【所在位置】:#猎德 【验证留名】:匿名 【验证时间】:2026.8.12 【课程价格】:480 【颜值身材】:8.5 【服务内容】:💋,✈️,🐍 【服务态度】:8.8 【优点缺点】:性价比高 【推荐程度】: 9 【体验过程】: 很久没来奶茶咖啡,今天预约了Emma,遥控上楼,位置比较清晰,穿着粉色的女仆装,领我进房的时候给我拿了一瓶水,迅速的脱衣服去冲凉,回来体验Emma的服务,从上亲到下,从下又亲到上,先舔蛋蛋慢慢的舔上来💋,💋得很舒服, 一边🐍一边出水,中间休息的时候会帮我按摩,聊的很愉快,慢慢的挑动我又想要第二次,总体的体验都不错,喜欢服务聊天的可以,值得一试 【一键关注桃花污】 ❤️温馨提示:报告仅供参考 ‼️请连同上图所示记录一并提交 💌提交报告至:@PeachBGbot

12 Aug 2026, 11:54 UTC24 viewsread 12 August 2026
Photo

明天排期(08.13) 💫限时优惠 预约价480(带报告预约价460) 💫双飞480+388 加中438 🧡Emma: 12点-13.30点-15点-16.30点-18点-19.30点-21点 🧡筱筱: 12点-13.30点-15点-16.30点-18点-19.30点-21点 🧡叁叁: 12点-13.30点-15点-16.30点-18点-19.30点-21点 📱预约: @ALEX13145200 🤖双向:@Emma2523_bot

12 Aug 2026, 04:55 UTC326 viewsread 13 August 2026

【出击报告】https://t.me/jnggg 【所在位置】猎德 【老师艺名】焱焱 【联系方式】@ALEX13145200 【验证留名】匿名 【验证时间】26.8.11 【上课价位】480 【人照几成】基本一致 【颜值分数】9 【身材分数】9 【课表服务】94 【态度分数】9 【优点缺点】【推荐程度】9 【推荐程度】9 【体验细节】第一次来 遥控上楼 焱焱还是挺好看的 先让去洗个澡 洗完澡就是常规ab面服务 脱了衣服胸还是挺大的 手感挺好 会主动抓你手往胸上靠 有送k 第一水出完按摩聊天 差不多了就出第二水结束 整体还是挺舒服 ♥️温馨提示: 以上仅代表个人体验, 温馨提示: 报告仅供参考!

12 Aug 2026, 00:20 UTC329 viewsread 13 August 2026
Forwarded from @GZsnyjbgj

【少御报告】https://t.me/GZsnyjhj 【老师艺名】焱焱 【联系方式】@ALEX13145200 【所在位置】猎德 【验证留名】匿名 【验证时间】26.8.11 【修车费用】480 【颜值身材】9 【服务内容】94 【服务态度】9 【优点缺点】 【推荐程度】9 【体验细节】 第一次来 遥控上楼 焱焱还是挺好看的 先让去洗个澡 洗完澡就是常规ab面服务 脱了衣服胸还是挺大的 手感挺好 会主动抓你手往胸上靠 有送k 第一水出完按摩聊天 差不多了就出第二水结束 整体还是挺舒服 ♥️温馨提示: 以上仅代表个人体验,报告仅供参考! 报告提交:@yanlili_bot

11 Aug 2026, 12:00 UTC229 viewsread 11 August 2026
Photo

明天排期(08.12) 💫限时优惠 预约价480(带报告预约价460) 💫双飞480+388 加中438 🧡Emma: 12点-13.30点-15点-16.30点-18点-19.30点-21点 🧡焱焱: 12点-13.30点-15点-16.30点-18点-19.30点-21点 🧡筱筱: 12点-13.30点-15点-16.30点-18点-19.30点-21点 🧡叁叁: 12点-13.30点-15点-16.30点-18点-19.30点-21点 📱预约: @ALEX13145200 🤖双向:@Emma2523_bot

11 Aug 2026, 10:52 UTC491 viewsread 13 August 2026
Photo

🎉 桃花 奶茶咖啡馆福利活动 🎁 奖品清单 • 388直享券 (带一份报告) × 1 • 80优惠券 × 5 • 口令红包18.8 × 2 🛡️ 参与条件 • 加入 广州佛山修车桃花污 • 加入 广州佛山修车桃花榜 • 加入 广州佛山修车桃花会所榜 • 加入 广州佛山桃花污优选推荐 • 加入 桃花备胎(退群拉黑) • 加入 广州奶茶咖啡私人公寓 • 加入 广州奶茶咖啡馆 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:10桃花蜜 • 祝福上限:200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 • 2026-08-14 22:00:00 📜 抽奖说明 ❶ 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 ❹ 中奖减

10 Aug 2026, 09:45 UTC653 viewsread 13 August 2026
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💐💐💐开奖了💐💐💐 广州会所优惠券奶茶抽奖 开奖了! 本期总参与人数: 1756 1- 千机变 (翻倍1) 获得:388直享券需在群内写报告 2- 宋玉 (翻倍1) 获得:80元优惠券 3- carl_99 (翻倍1) 获得:80元优惠券 4- 香梨 (翻倍1) 获得:80元优惠券 5- 阿飞又忘密码 (翻倍1) 获得:80元优惠券 6- 爱吃肉蟹煲 (翻倍1) 获得:80元优惠券 7- Klaus (翻倍1) 获得:18.8元奶茶红包 8- 卑微小透明 (翻倍1) 获得:18.8元奶茶红包 谨祝中奖用户大吉大利万事顺意

9 Aug 2026, 23:57 UTC303 viewsread 10 August 2026
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今天排期(08.10) 💫限时优惠 预约价480 💫双飞480+388 加中438 🧡焱焱: 12点-13.30点-15点-16.30点-18点-19.30点-21点 🧡叁叁: 12点-13.30点-15点-16.30点-18点-19.30点-21点 🧡筱筱: 12点-13.30点-15点-16.30点-18点-19.30点-21点 📱预约: @ALEX13145200 🤖双向:@Emma2523_bot

9 Aug 2026, 20:39 UTC14 viewsread 9 August 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

Showing the 12 most recent of 37 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.

Citation-graph rank

Citation-graph rank — 165,217 of 1,176,251entries 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 3 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“广州奶茶咖啡馆” (@GZGY93), 12,317 subscribers as measured 13 August 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.