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Channel

广州揼骨日记

@gzdumpgu

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

3,350subscribers

+89 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002157449472
TypeChannel
Username@gzdumpgu
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live30 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/gzdumpgu

Growth

3,2613,3503,305.58 August 2026 — 3,261 subscribers8 August 2026 — 3,261 subscribers11 August 2026 — 3,272 subscribers14 August 2026 — 3,277 subscribers17 August 2026 — 3,299 subscribers20 August 2026 — 3,318 subscribers24 August 2026 — 3,325 subscribers27 August 2026 — 3,339 subscribers30 August 2026 — 3,350 subscribers8 August 202630 August 2026
9 measurements spanning 22 days, net +89. 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 3,248–3,363 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 10:453,350+11
27 Aug 2026, 01:233,339+14
24 Aug 2026, 08:043,325+7
20 Aug 2026, 21:123,318+19
17 Aug 2026, 18:443,299+22
14 Aug 2026, 21:163,277+5
11 Aug 2026, 14:223,272+11
8 Aug 2026, 03:543,261no change
8 Aug 2026, 01:473,261first reading

Engagement

8 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
45.2%
avg views ÷ 3,350 subscribers
Avg views / post
1,520
7 posts measured
Reaction rate
0.421%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 6 of 7 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 7 August 2026
Posts held8 (1 August 20267 August 2026)
Views total10,606
Reactions total40
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 01:47 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
1m 41s
Average length
51s

Measured directly from 2 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

40 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2460.0%
👍1025.0%
👎615.0%

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 6 of the 8 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 40reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 1 August 2026 to 7 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

7 Aug 2026, 08:20 UTC646 views5 reactionsread 8 August 2026
Photo

15)更新 #海珠 #江泰 #乐儿 #九二 #九八 #6张 #瘦妹 乐儿长休后重开了 微信 Lele88022 项目: 92手飞350 98陪浴、洗吹做一条龙, 1p6张50分,2p9张80分。 江泰路万科里公寓,没室友,随缘开课 身材偏瘦现在稍微长点肉,更漂亮了,小B胸。 照片基本没P过,人就长这样的,服务的时候也投入。 公寓环境不错 ps~记得以前她上过明哥的资源榜,但后来明哥那个榜炸了? 推荐指数 4/5 (真瘦,真人妻,真靓女,只在白天开课,晚上基本在休息,开课随缘) 类型:小只靓女 可亲不舌 不可品鲍 颜值:4/5 身材:4/5 服务:4/5 耐桩:4/5 性价比:3.5/5

5

5 Aug 2026, 15:25 UTC≈1,110 viewsread 8 August 2026

73) #小艺 被盗号了,要收定的一律别去!

4 Aug 2026, 21:30 UTC≈1,250 views6 reactionsread 8 August 2026
Photo

146) #美美 #抓龙筋 #九三 #祖师爷 #白云 #钟落潭 #手法 #颜值 #C杯 微信 MM95091 终于去找广州抓龙筋的祖师爷上课了,毕竟在钟落潭,开车过去都花了挺长时间的,但也知道她是好多老师的老师的老师,于是下定决心出击! 美美虽个子瘦瘦小小,但人如其名,的确挺漂亮的,我觉得真人比照片要漂亮很多,不知是否拍照时打光或者画的妆没那么到位,看着真人在普通光照下反而五官更立体,比例更匀称漂亮,怪不得回头客那么多。而且胸做到了C杯,乳晕乳头中等,自称被客人掏胸抓破了好多衣服,索性后面就直接开93了,A餐也开半裸。 美美保养好,看不出已经到御姐+这个年龄段了,看着感觉就25左右,但她入行挺早的,13岁入厂打工,15岁入行做绿色按摩,18岁改打飞机,进会所干,一路从技师干到经理,再干到手法老师,那时月入万把块,后来被人点醒可以跳出自己创业自己干,于是出来开公寓,手法也特意去外国考证学了回来,就开始在广州做公寓抓龙

6

2 Aug 2026, 10:50 UTC≈1,770 views3 reactionsread 8 August 2026

#小猪 的号她刚突然就上不去了,我打她手机确认过了。她电报号被人挤掉了!大家别找她的电报号,找与你。 她与你两个号:TVB666 ATV888 她开了个小号 @Show_u22

3

2 Aug 2026, 08:09 UTC≈1,790 views5 reactionsread 8 August 2026
Photo

写到没一半,暂时只有83个人阅览,就出现点踩,而且留言区没留言,频道混进乐子人,现在起提高入群申请门槛。

5

2 Aug 2026, 07:38 UTC≈2,240 views17 reactionsread 8 August 2026
Photo

145) #小猪 #海珠 #九八 #瘦妹 #B杯 #粤语 新TG号 @Show_u22 与你 TVB666 ATV888 几天前群里有老哥推荐,去到她会下楼接人,戴着口罩和圆帽,把我领上楼进屋才摘掉,她就在住地开课,课室挺温馨。小猪好瘦,特别是脸很瘦,身体也瘦,但有小B胸,屁股和大腿按比例看着稍有肉,不太会硌屁股,她课表里有长宽高,但我觉得她体重可能就80斤上下了。粤语频道的小猪虽很能聊天,也很热情,但分寸有度,说话也不会像机关枪那么密,说得慢条斯理,可是太瘦了说话有点轻飘飘的。去到坐沙发(炕床)上,她靠过来聊天,我把她抱到腿上,我俩互相一边上下其手一边聊,沙发上舌吻了起来,把她奶头捏硬了,怕她身体弱着凉,我就洗完进屋再上床给她调情,没跟她鸳鸯浴。 上床后一边舌吻她一边抓着一只奶子玩弄,一手玩弄她的骚穴,她不自觉地哼哼唧唧起来。拨弄她阴蒂头让她骚水外流后,上套进入,因为她人瘦逼紧,她扶着我JJ滑弄上淫水后,再让我慢慢

👍10👎52

1 Aug 2026, 08:26 UTC≈1,800 views4 reactionsread 8 August 2026
Photo

144) #花猫依依 #湘妹 #柔式 #九二 #天河 #潭村 #珠江公园 #公寓 #瑜伽教练 #手法 #年轻 #御姐 #C杯 #互动 #外卖 @lelele520521 自来老师,某天突然申请进群,问她是自聊?工作室?还是会所?因为看她频道粉丝不少,而且几乎24小时online,就猜她不是中介就是代聊了,甚至觉得她比中介代聊还要勤奋,怎么能24小时在线呢?!都没见过的。她自称工作室但自聊,发了两张照片过来,一张她自己一张姐妹,两个人在珠江公园附近一个高层公寓开92,她说自己绝对自聊而且还很逗包我喜欢的,反正我也不介意中介代聊,不满意走就得了,思索再三,OK出击! 见面,哦吼,御姐风格,举止优雅,但突然大笑,开怀大笑那种,我回以微笑,我俩相谈甚欢,得知其艺名依依,可太多依依了,取其昵称花与猫,予她花猫依依一名,甚得她欢心,大笑之。这么爱笑居然没鱼尾纹也是神奇,长相挺甜美的,不笑的时候看着落落大方,笑的时候豪情万丈,着实有

3👎1

Showing the 8 most recent of 8 posts we hold for @gzdumpgu. 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 — 992,904 of 1,626,935entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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

“广州揼骨日记” (@gzdumpgu), 3,350 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/gzdumpgu.

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.