Channel
@guangzhou987
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
135subscribers
+0 since we began measuring on 12 November 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1004431120071 |
|---|---|
| Type | Channel |
| Username | @guangzhou987 |
| Description | 广州95👄广州会所💋广州海珠💋广州白云 |
| Created | Between 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 November 2026 |
| Last confirmed live | 12 November 2026 |
| Measurements held | 2 |
| On Telegram | t.me/guangzhou987 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Nov 2026, 15:22 | 135 | no change |
| 12 Nov 2026, 14:47 | 135 | first reading |
16 posts held, back to 1 November 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 1 page of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 12 November 2026 |
|---|---|
| Posts held | 16 (1 November 2026 – 12 November 2026) |
| Views total | 193 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 15:22 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.
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. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 1 video 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.
Telegram’s own ‘edited’ marker: 0 of 16 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).
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#广州spa #广州92 #广州94 #广州95 #广州口爆 推开私密的门，宽敞的床铺、柔暖的灯光、优雅的陪伴，已为你备好一切。 无需开口询问，她会用轻柔的唇舌从颈侧缓缓向下，双手在腰际与大腿之间轻柔游走，刻意绕开最渴望之处，只留下若有若无的触感。 等你忍不住主动贴近、主动迎合，才真正开启更深的缠绵。 这里没有外人，没有目光，所有声音与回应，都只属于你。 顶级空间，顶级节奏，让你在掌控与被引导之间，彻底沉醉。 📍 广州95会所全城覆盖区域： 天河 | 海珠 | 白云 | 越秀 | 番禺 | 花都| 南沙| 荔湾 在线客服: @xcspa888 双向机器人客服: @xcjqrkf_bot 专注广州各区95口爆高端SPA会所，诚信经营，消费透明，拒绝虚假宣传，只推荐最优质口爆店
#广州会所 #广州白云 #广州95 #广州口爆 来之前就别装了，进房第一件事——把主动权全部交给美女。 她会把你伺候得又软又湿，平时你脑子里那些不敢碰的玩法，妹妹全都能带你试到腿软。从进门到离开，节奏、力度、深度全由她掌控，保证你被照顾得彻底、玩得彻底。 今晚就让她把你弄到心还在跳、腿还在抖，回味都带着余温。别等了，直接来。 📍 广州95会所全城覆盖区域： 天河 | 海珠 | 白云 | 越秀 | 番禺 | 花都| 南沙| 荔湾 在线客服: @xcspa888 双向机器人客服: @xcjqrkf_bot 专注广州各区95口爆高端SPA会所，诚信经营，消费透明，拒绝虚假宣传，只推荐最优质口爆店
#广州92 #广州94 #广州95 #广州会所 #广州95 #广州白云 广州95口爆高质量会所安排，10年广州部长推荐 广州各区高质量94/95养生店，无需定金，没有任何隐藏消费，消费满意付款，部分位置可以海选，可以提前预定时间和老师，准时到位置即可，到了就能安排 🔽服务时间：80分钟🕰🕰🕰 🔽服务项目：💵80分钟 口一次🫦加胸一次或手一次〔放两水💦💦80到时间为止〕价格各区行情不同咨询部长 🔽服务内容： 全裸口💋爆 🈶独立的卫生间🛁口爆👅射嘴里，毒龙🐉，真🐼调情，舌尖漫游👅，舔蛋蛋，蛇绕缠身🐍，69🔥式互口，环游口， 吸气🎆过水🎊吞珠💕漫游🌸胸推 胸滑🎆指划🎊调情💕鼻吸🌸乳胶 毛扫🎆躺抱🎊互口💕环抱🌸毒🐉 特色服务：倒立战神吹 69式调情吹 深情舔脚趾 无敌黑丝足交 真实舌头毒龙 超猛冰火两重天 风骚靠墙艳舞 双腿张开狗式吹 📍 广州95会所全城覆盖区域： 天河 | 海珠 | 白云 | 越秀 | 番禺 | 花…
广州95👄广州会所💋广州海珠💋广州白云 pinned a photo
📱📱📱📱📱📱📱📱 广州95口爆高质量会所安排，10年广州部长推荐 广州各区高质量94/95养生店，无需定金，没有任何隐藏消费，消费满意付款，部分位置可以海选，可以提前预定时间和老师，准时到位置即可，到了就能安排 🔽服务时间：80分钟🕰🕰🕰 🔽服务项目：💵80分钟 口一次🫦加胸一次或手一次〔放两水💦💦80到时间为止〕价格各区行情不同咨询部长 🔽服务内容： 全裸口💋爆 🈶独立的卫生间🛁口爆👅射嘴里，毒龙🐉，真🐼调情，舌尖漫游👅，舔蛋蛋，蛇绕缠身🐍，69🔥式互口，环游口， 吸气🎆过水🎊吞珠💕漫游🌸胸推 胸滑🎆指划🎊调情💕鼻吸🌸乳胶 毛扫🎆躺抱🎊互口💕环抱🌸毒🐉 特色服务：倒立战神吹 69式调情吹 深情舔脚趾 无敌黑丝足交 真实舌头毒龙 超猛冰火两重天 风骚靠墙艳舞 双腿张开狗式吹 〖诚信靠谱，广州十年老口碑驻店部长』 在线客服: @xcspa888 双向机器人客服: @xcjqrkf_bot 专注广州各区9
#广州会所 #白云会所 #荔湾会所 #番禺会所 #天河会所 #海珠会所 #南沙会所 浪漫不期而至，只给最有眼光的您。 本季新品佳丽优雅上线，带着满满诚意， 期待为您洗去喧嚣与疲惫。 ✨ 【服务理念】 我们始终将您的感受放在第一位。 从入店到离场，全程跟踪安排每一个细节， 全方位匹配您的喜好，打造专属沉浸体验。 广州95会所 给生活一份仪式感，期待您的光临。
#广州95 #广州92 #广州会所 #广州spa #广州按摩 在广州繁忙的城市里，每天忙得像狗，赚再多钱也少点真滋味？是时候停下来，别再硬撑了！ 让疲惫的身体彻底放松，让下面也好好透透气。推开会所大门，把一切交给温柔妹妹就行。 她跪在您面前，用柔软火热的身体贴紧您，更用湿热紧致的小嘴，深喉吞到底，香舌狂舔龟头猛吸，再用会吸人的极致技术死死夹紧，吸得您腿软腰麻、魂飞魄散！从头爽到脚，压力瞬间清零，尽享极致释放的快感。 高端私密会所，专业95口爆技师24小时待命。今晚就来，让妹妹用最会吸的小嘴，帮您彻底“松”一下！预约即享尊贵服务。 📍 广州95会所全城覆盖区域： 天河 | 海珠 | 白云 | 越秀 | 番禺 | 花都| 南沙| 荔湾 广州95在线客服: @xcspa888 双向机器人客服: @xcjqrkf_bot 专注广州各区95口爆高端SPA会所，诚信经营，消费透明，拒绝虚假宣传，只推荐最优质口爆店
#广州水汇 #广州白云 #广州海珠 #广州天河 #广州番禺 #广州荔湾 流程:伺浴、性感工衣+情趣内衣内裤诱惑、调情各种花式调情舞动最原始的欲望、十八般技艺口爆口吹、口胶液柔滑细腻带给您不一样的体验触感69式搭配爽到最极致、柔情似水、皇帝上朝重温旧梦、伺浴、调情、丝袜诱惑、足交、跪式水中萧、波推臀推、过水刮痧、六九式、环游世界、爱得魔力转圈圈，床边诱惑、卧式蛋，冰火两重天，猴子偷桃、旋转吹箫，舌闯龙宫、海底捞月...
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Showing the 12 most recent of 16 posts we hold for @guangzhou987. 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.
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.
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 November 2026 — this entry's latest reading, not the date you are reading this.
“广州95👄广州会所💋广州海珠💋广州白云” (@guangzhou987), 135 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/guangzhou987.
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.