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Channel

深圳南山05后半裸丝足抓龙筋 玉桂狗店

@szyggpd

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

3,775subscribers

+176 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003223333651
TypeChannel
Username@szyggpd
CreatedBetween 1 October 2025 and 31 January 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/szyggpd

Growth

3,5993,7753,6876 August 2026 — 3,599 subscribers7 August 2026 — 3,609 subscribers10 August 2026 — 3,688 subscribers13 August 2026 — 3,775 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net +176. 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 3,573–3,801 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 09:363,775+87
10 Aug 2026, 03:403,688+79
7 Aug 2026, 13:373,609+10
6 Aug 2026, 20:053,599first reading

Engagement

11 posts held, back to 14 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
55.5%
avg views ÷ 3,775 subscribers
Avg views / post
2,100
4 posts measured
Reaction rate
0.092%
reactions ÷ views · ER floor
Posts in window
4
of 11 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 2 of 4 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 5 August 2026
Posts held11 (14 June 20265 August 2026)
Views total8,382
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:00 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

54 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 87.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4787.0%
👍713.0%

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 9 of the 11 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 54reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 14 June 2026 to 5 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

5 Aug 2026, 10:26 UTC922 viewsread 7 August 2026
Forwarded from @szklmbg

抓鸟报告:https://t.me/szklmbg 验证留名:嗨呀 验证地区:南山半裸 抓鸡花费: 598 颜值身材 :9 体验细节 :呆呆其实不呆,是个湘妹子来着。 今天刚好过南山办事,虽然离南油店近点,但想着还没去过半裸店于是舍近求远去了白石洲店,刚好呆呆头课还在,直接地铁过去,遥控上楼,呆呆开门在等着了。 我是被呆呆的洛丽塔衣服吸引过去的,可惜没有穿,她说穿这个衣服不好服务。我说直接开始吧不用按摩,呆呆说按我的节奏来😂,ok,已躺好。性格和照片反差挺大的,照片看着呆呆的,但是性格反而是大咧咧直性子那种。 按摩手法和牢米教的不太一样,感觉更有劲一点,没有上油推,直接按的,然后就是半裸店的特色服务,脱了上衣开始滑动,罩杯的话呆呆说的是a,手感很不错,坚挺。然后tq过程还有舔耳娇喘,跟其他店是不一样的体验,翻到正面,骑跨在身上,刚好顶住,然后就是反补,女友感很足,搞得一直有种把持不住想亲上去的冲动。 后面呆呆开始抓龙🐉,手法也是

1 Aug 2026, 13:47 UTC≈2,160 views3 reactionsread 7 August 2026
Photo

玉桂狗的美照更新啦 火爆群组: @szklmgp 预约 : @szyggblpm 双向限制 : @szyggbl_bot

3

1 Aug 2026, 05:09 UTC≈2,040 viewsread 7 August 2026
Forwarded from @szklmbg

抓鸟报告:https://t.me/szklmbg 验证留名:西洋菜 验证地区:南山半裸 抓鸡花费: 598 颜值身材 :小小一只但眼睛很大 体验细节 :暴雨也无法浇灭出击的念想,地铁出去没多久就到地方,上楼后看到穿着jk的玉桂狗在门缝中等待,把我带进房间后就脱衣服去洗澡,穿上小裤子就到房间先按正面。玉桂狗先坐旁边按手臂,边按边聊天。由于第一次来还有点害羞,玉桂狗便直接抓起小弟开始调戏,不断上下揉搓,还说要强奸我吃掉小弟。然后到背面按摩,脱了上衣接着开始指划过水,擦干后开始体验双峰在背部游走,玉桂狗用腿顶着小弟,趴在身上贴着你的耳边开始吹气和娇喘,我直接沦陷,感觉比正戏还爽。翻身后便步入正题,给小弟涂上油后用手打了一会便直接上脚,36码的小脚真是太棒了,而且没涂指甲油,正合我心意。随后便不断变换招式,最终在一声声的骚话中落幕。完事后玉桂狗帮我擦干,边按摩边聊天,不知不觉时间到了,于是洗澡撤退。 是否事逼 :不 优点缺点 :比较热

28 Jul 2026, 11:26 UTC≈3,260 views2 reactionsread 7 August 2026
Photo

更新两张呆呆新的ootd❤️ 预约 @szyggbl_bot

2

14 Jul 2026, 06:22 UTC≈7,000 views7 reactionsread 7 August 2026
Photo

发一篇呆呆的报告 呆呆手法特别好🔥🔥 预约 @szyggbl_bot

7

27 Jun 2026, 03:10 UTC≈11,300 views16 reactionsread 7 August 2026
Photo

你们要的呆呆也出片啦😁😁😁 预约 @szyggbl_bot

14👍2

26 Jun 2026, 06:32 UTC≈10,200 views10 reactionsread 7 August 2026
Photo

赶紧把可爱的玉桂狗装进购物车吧💖😁 火爆群组: @szklmgp 预约 : @szyggblpm 双向限制 : @szyggbl_bot

8👍2

23 Jun 2026, 05:13 UTC≈9,260 views0 reactionsread 7 August 2026

放假回来啦 可以开始预约 @szyggblpm

17 Jun 2026, 07:56 UTC≈10,400 views2 reactionsread 7 August 2026
Photo

更新一篇呆呆的报告 又是一个大文豪哈哈哈😁😁 预约 @szyggblpm

2

15 Jun 2026, 11:15 UTC≈9,480 views5 reactionsread 7 August 2026
Photo

呆呆的ootd也上新啦😁😁 预约: @szyggblpm

3👍2

14 Jun 2026, 00:38 UTC≈9,040 views9 reactionsread 7 August 2026
Photo

玉桂狗的jk装上线啦😁 来挑一套喜欢的吧 预约 @szyggblpm 双向限制 @szyggbl_bot

8👍1

Showing the 11 most recent of 11 posts we hold for @szyggpd. 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 — 207,467 of 1,189,255entries 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 10 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.

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.

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.

“深圳南山05后半裸丝足抓龙筋 玉桂狗店” (@szyggpd), 3,775 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/szyggpd.

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.