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Channel

深圳狼友公开资源

@s88888w

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

31,180subscribers

-2,648 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001686536583
TypeChannel
Username@s88888w
Description上榜管理员 @SaoNonwbot 深圳交流群 https://t.me/mmwmb
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held58
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/s88888w

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 48% 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.

Growth

30,88134,03832,459.57 August 2026 — 33,828 subscribers8 August 2026 — 33,766 subscribers9 August 2026 — 33,754 subscribers10 August 2026 — 33,739 subscribers11 August 2026 — 33,755 subscribers12 August 2026 — 33,844 subscribers13 August 2026 — 33,879 subscribers14 August 2026 — 34,038 subscribers16 August 2026 — 33,859 subscribers17 August 2026 — 33,833 subscribers18 August 2026 — 33,802 subscribers19 August 2026 — 33,856 subscribers20 August 2026 — 33,948 subscribers22 August 2026 — 33,862 subscribers24 August 2026 — 33,911 subscribers25 August 2026 — 33,947 subscribers26 August 2026 — 33,856 subscribers27 August 2026 — 33,928 subscribers28 August 2026 — 33,927 subscribers28 August 2026 — 33,895 subscribers29 August 2026 — 33,825 subscribers30 August 2026 — 33,789 subscribers31 August 2026 — 33,821 subscribers1 September 2026 — 33,791 subscribers2 September 2026 — 33,742 subscribers4 September 2026 — 33,757 subscribers6 September 2026 — 33,732 subscribers10 September 2026 — 33,478 subscribers12 September 2026 — 33,184 subscribers14 September 2026 — 33,000 subscribers15 September 2026 — 32,941 subscribers17 September 2026 — 32,844 subscribers27 September 2026 — 32,399 subscribers4 October 2026 — 32,466 subscribers9 October 2026 — 32,281 subscribers13 October 2026 — 32,387 subscribers14 October 2026 — 32,277 subscribers15 October 2026 — 32,230 subscribers16 October 2026 — 32,218 subscribers17 October 2026 — 32,231 subscribers19 October 2026 — 32,224 subscribers20 October 2026 — 32,237 subscribers21 October 2026 — 32,236 subscribers22 October 2026 — 32,177 subscribers23 October 2026 — 31,645 subscribers24 October 2026 — 31,617 subscribers25 October 2026 — 31,702 subscribers26 October 2026 — 31,731 subscribers27 October 2026 — 31,720 subscribers28 October 2026 — 31,574 subscribers29 October 2026 — 31,409 subscribers30 October 2026 — 31,325 subscribers31 October 2026 — 31,309 subscribers1 November 2026 — 31,057 subscribers2 November 2026 — 30,881 subscribers3 November 2026 — 31,037 subscribers4 November 2026 — 31,109 subscribers5 November 2026 — 31,180 subscribers31,1807 August 20265 November 2026
58 measurements spanning 90 days, net -2,648. 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 30,407–34,512 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
5 Nov 2026, 05:1731,180+71
4 Nov 2026, 07:3531,109+72
3 Nov 2026, 10:2931,037+156
2 Nov 2026, 10:4730,881-176
1 Nov 2026, 12:2531,057-252
31 Oct 2026, 12:2831,309-16
30 Oct 2026, 11:4631,325-84
29 Oct 2026, 10:3631,409-165
28 Oct 2026, 07:1531,574-146
27 Oct 2026, 05:4031,720-11
26 Oct 2026, 05:0131,731+29
25 Oct 2026, 02:3831,702+85
24 Oct 2026, 04:5531,617-28
23 Oct 2026, 08:0831,645-532
22 Oct 2026, 10:5532,177-59
21 Oct 2026, 01:0932,236-1
20 Oct 2026, 03:1032,237+13
19 Oct 2026, 00:4132,224-7
17 Oct 2026, 22:4032,231+13
16 Oct 2026, 22:3932,218first reading

Engagement

46 posts held, back to 24 July 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 166 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.91%
avg views ÷ 31,180 subscribers
Avg views / post
2,780
12 posts measured
Reaction rate
0.009%
reactions ÷ views · ER floor
Posts in window
12
of 46 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 3 of 12 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 30 October 2026
Posts held46 (24 July 2026 – 30 October 2026)
Views total33,343
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 22:52 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
45
Videos
7
Links
12

Lifetime counters from Telegram’s own channel header, read 5 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.

Video runtime
1m 16s
Average length
13s

Measured directly from 6 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

19 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 78.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1578.9%
💯315.8%
👍15.26%

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 15 of the 46 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 19 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 46 most recent posts we hold, published 24 July 2026 to 30 October 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 12 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).

30 Oct 2026, 13:43 UTC≈1,880 views1 reactionsread 5 November 2026
Photo

💞樱花の湯·日式裸身风俗 #泡泡浴 #会所 置身于氤氲水汽中🚿,伴着轻柔的和风音乐,🎀让细腻的泡沫包裹全身,独家传承日式泡泡浴技艺🪭,纯口啤服务,私密性很好,温柔细腻的手法带来极致放松体验。柔滑的泡沫轻抚每一寸肌肤,搭配日式传统按摩🎎,舒缓压力,唤醒身体的每一处感官。👍 🌸浪漫之旅A:798元/70分钟 情景环境音乐妙手轻抚欢迎礼, 水润潮汐日式泡泡浴+全身舒压按摩,鸳鸯戏水指尖爱抚+迷音诱惑,感官抚触沉浸式精油SPA,全裸身火山热石抓龙筋释放 🌺深情花欲B:998元/90 分钟 浪漫之旅基础上增加深度沉浸式泡泡浴互动,胸推臀推身心漫游,极致性感丝足挑逗,冰火酥麻脱敏训练,龜责&边缘控制三起三落,胸/手/足多重释放,*前列腺高潮(不同体质情欲探索) 📌店铺地址:#龙岗 #南山 #福田 #龙华 因服务消耗精力每日名额有限,请提前预约,感受身心合一的极致享受!💖 辛苦哥哥动下发财的手指❤️ 免费预约:@rslsppykf 双向联系:…

❤1

18 Oct 2026, 05:08 UTC≈4,270 viewsread 5 November 2026
Photo

#深圳会所 #深圳按摩SPA #深圳抓龙筋 深圳独家【全新体验】半裸♥️顶级SPA +热石私享沉浸式抓龙筋,“细腻深处直达云顶之上,余音袅袅身心共振享受非凡” 纯口碑,不偷一分钟,时间内无限次释放:胸推,臀疗,龟头责边缘控制,强制高潮,脱敏疗法,三起三落,体验不一样的爽感,头皮酥麻虐恋求饶的感觉,反复高潮,长达5-10分钟。 【私享A课】体验价700/80分钟 【私享B课】体验价900/90分钟 可胸、可手、可足多重释放 位置:#南山 #福田 #宝安 #龙华 #罗湖 ​私聊: @sznsmmspa 频道:@qypdb 🐧QQ:3760728326

17 Oct 2026, 14:41 UTC≈4,290 views0 reactionsread 5 November 2026
Photo

#深圳梦幻专业Cos主题SPA✨ 【满意度TOP1🔝/ #深圳地区人气店家 #好评榜】 ------------------------------ #至尊95口爆服务内容(水会-会所) 💥动作任来~ 📱A套餐95:预约价格568 (70分钟内 口一次手一) 📱B套餐96:预约价格788 (70分钟内 口爆两次) 📱C套餐97:预约价格998 (双飞70分钟口爆两次) 📱D套餐97:预约价格998 (双钟120分钟口爆两次) 以上套餐包涵磨棒体验 ------------------------------ #极品94推油或丝足(水会-会所) 📱预约价格498 📱服务同上 最后手打 或丝足 (70分钟可出水两次不另收费) -------------------------- 诚信靠谱第一(非诚勿扰)! 多位佳丽在线上班,类型齐全,现场选人,满意为止!无任何隐藏消费! 覆盖区域: #罗湖 #宝安 #南山 #龙华 #龙岗 #福田 📱…

15 Oct 2026, 09:16 UTC≈4,930 views0 reactionsread 5 November 2026
Photo

营业预约中 深圳会所全区 94-95-96预约安排 #罗湖 #福田 #宝安 #龙华 #龙岗 #光明 #南山 #深圳 在线预约中 🔥94服务流程:价格:398-498 🔥95水会、会所:,价格550-598 🔥96会所、出💦,价格750-800 选择佳丽:到现场选,不满意可以换,换到满意为止 以上服务时间94/60分钟95/70分钟96/80分钟(时间内都可出💦两次需提前跟客服说 ✈️客服:@Lhog6688 (可预约) ✈️双向:@TH111222ABOT ✈️群聊: https://t.me/abczzq ✈️频道:https://t.me/HS9495H 💁微信:Voie9999 💁QQ: 2104751539 9️⃣4️⃣会所👉:https://t.me/HY888666V/408 9️⃣4️⃣会所👉:https://t.me/HY888666V/408

14 Oct 2026, 09:13 UTC≈5,070 viewsread 5 November 2026
Photo

【艺名】: #玥玥 【地址】: #龙岗区 【联系】: @min520758 双向 : @yueyhhbot 【频道】: https://t.me/yueyuedehouhuayuanp

14 Oct 2026, 09:03 UTC≈3,970 viewsread 30 October 2026
Photo

【艺名】: #小小安 【地址】: #龙岗区 【联系】: @An0413 双向 : @jsisjhhBot 【频道】:https://t.me/lijiamlaidhangke

12 Oct 2026, 08:37 UTC≈2,820 viewsread 17 October 2026
Photo

艺名: #菲菲三通 地址:#罗湖区 茶费:#500/p 800/p三通加米可以无套,每个月都体验 私聊:@feifeier68666 频道:https://t.me/feifei5551

12 Oct 2026, 06:17 UTC≈2,030 viewsread 15 October 2026
Photo

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11 Oct 2026, 06:01 UTC≈1,590 viewsread 14 October 2026
Photo

深圳|🔥TOP级私享抓龙筋体验 前列腺高潮体验过没?非常爽!!! 半裸调情+深度脱敏不限次嗨放SPA,体验不一样的爽感,爽到灵魂出窍,长达5-10分钟 沉浸式放松 · 全程深度释放节奏掌控张弛有度,感官逐步放大,让你在极致舒适中不断突破临界点,一次体验,多重感受重新定义你的放松方式。 玩法十足满足你所有的幻想。不追短期热度,只求长期价值 QQ:2960749896 预约☎️:@szliaoyuSPA 频道:https://t.me/szlhrispa 初探: 699/80分钟 沉浸: 998/100分钟 位置:#深圳南山 #福田 #罗湖 #宝安

9 Oct 2026, 09:05 UTC≈2,340 viewsread 14 October 2026
Photo

我这里是个人工作室 环境舒适干净,用品一客一用一消毒。本人素质高,擅长专业日式半裸抓龙筋和前列腺按摩,能给您带来身体的深度放松和欢愉感。正规理疗,激情互动,,哥哥们可加名片咨询哦🥰😊 联系: @xiao1787801 QQ: 2329588774 #深圳SPA

8 Oct 2026, 08:19 UTC79 viewsread 9 October 2026

🚇广州资源 🚇佛山资源 🚇中山资源 🚇惠州资源 🚇东莞资源 🚇珠海资源 🚇江门资源 🌎其他城市资源

7 Oct 2026, 08:19 UTC74 viewsread 8 October 2026

🚇广州资源 🚇佛山资源 🚇中山资源 🚇惠州资源 🚇东莞资源 🚇珠海资源 🚇江门资源 🌎其他城市资源

Showing the 12 most recent of 46 posts we hold for @s88888w. 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 edited after publishing

@s88888w edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
19 September 2026
Most recent edit
19 September 2026

Posts recorded as deleted after publishing

We recorded 5 posts on @s88888w 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
19 September 2026
Most recent seen missing
17 October 2026
Median time before seen missing
34 hours
Seen missing in the last 30 days
1

Mentions

Named by 5 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“深圳狼友公开资源” (@s88888w), 31,180 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/s88888w.

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.