#罗湖 #私约 #御姐 艺名: 梦妮儿 课费: #600p #1200pp 课表更详细,花样多 联系: @Amengni0209 频道 : https://t.me/mengni2547 与你号: momo0209 xiaobacai520 QQ: 226439583 3656346174

Channel
深圳湾老师验证榜
@xiaosaob8525
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
30,440subscribers
+86 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001674521398 |
|---|---|
| Type | Channel |
| Username | @xiaosaob8525 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 30 October 2026 |
| Measurements held | 45 |
| Confirmed unchanged | 1 time, most recently 30 October 2026 |
| On Telegram | t.me/xiaosaob8525 |
Topic
Adult — 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 96% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Oct 2026, 15:46 | 30,440 | -69 |
| 29 Oct 2026, 18:37 | 30,509 | -42 |
| 28 Oct 2026, 20:10 | 30,551 | -38 |
| 27 Oct 2026, 22:50 | 30,589 | +34 |
| 27 Oct 2026, 00:01 | 30,555 | -29 |
| 25 Oct 2026, 23:36 | 30,584 | -24 |
| 24 Oct 2026, 21:04 | 30,608 | -12 |
| 23 Oct 2026, 21:15 | 30,620 | +47 |
| 22 Oct 2026, 18:21 | 30,573 | -64 |
| 21 Oct 2026, 17:07 | 30,637 | -19 |
| 20 Oct 2026, 10:17 | 30,656 | +4 |
| 19 Oct 2026, 07:46 | 30,652 | -6 |
| 18 Oct 2026, 06:31 | 30,658 | +68 |
| 17 Oct 2026, 04:37 | 30,590 | -54 |
| 16 Oct 2026, 07:56 | 30,644 | -35 |
| 15 Oct 2026, 04:47 | 30,679 | -154 |
| 14 Oct 2026, 03:09 | 30,833 | -44 |
| 11 Oct 2026, 17:18 | 30,877 | -134 |
| 7 Oct 2026, 07:56 | 31,011 | -125 |
| 2 Oct 2026, 14:58 | 31,136 | first reading |
Engagement
26 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 123 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.93%
- avg views ÷ 30,440 subscribers
- Avg views / post
- 589
- 7 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 7
- of 26 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.
| Window | Rolling 30 days · latest post in window 27 October 2026 |
|---|---|
| Posts held | 26 (24 July 2026 – 27 October 2026) |
| Views total | 4,120 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Oct 2026, 09:37 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 39s
- Average length
- 8s
Measured directly from 13 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
4 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 100.0% |
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 4 of the 26 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 24 July 2026 to 27 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
#深圳抓龙筋 #深圳前列腺高潮 #深圳丝足 #深圳女王调教 #深圳上门 #深圳按摩 #深圳龟责 #深圳边缘控制 #丽丽老师:36D真胸,在理疗行业有9年实战经验,全身推油,前列腺按摩,前列腺高潮,针对上班簇,开车簇,久坐,白领成功人士的颈椎腰酸背痛的调理,专业抓龙筋,提升男性功能,补肾壮阳,延缓性衰老,改善阳痿早泄症状,脱敏,边缘控制,三起三落,丝袜拉扯龟责,丝足,马眼,女王调教,高跟丝袜诱惑等! 手法特色:延时降敏和理疗是特色,手法会根据客人的情况做出调整,属于理疗、功效、舒缓放松于一体,是不可多得的好师傅,需要的贵宾一定要抽时间来体验一下!🍒 📌工作室地址:深圳罗湖火车站附近 电话☎️13424309669(微信同号) 电话☎️18948197659(微信同号) QQ: 3260108971 QQ:1299721902 本地群: @szam66 个人频道: @anmo885 视频频道: @szam6668 备…
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#深圳抓龙筋 #深圳前列腺高潮 #深圳丝足 #深圳女王调教 #深圳上门 #深圳按摩 #深圳龟责 #深圳边缘控制 #丽丽老师:36D真胸,在理疗行业有9年实战经验,全身推油,前列腺按摩,前列腺高潮,针对上班簇,开车簇,久坐,白领成功人士的颈椎腰酸背痛的调理,专业抓龙筋,提升男性功能,补肾壮阳,延缓性衰老,改善阳痿早泄症状,脱敏,边缘控制,三起三落,丝袜拉扯龟责,丝足,马眼,女王调教,高跟丝袜诱惑等! 手法特色:延时降敏和理疗是特色,手法会根据客人的情况做出调整,属于理疗、功效、舒缓放松于一体,是不可多得的好师傅,需要的贵宾一定要抽时间来体验一下!🍒 📌工作室地址:深圳罗湖火车站附近 电话☎️13424309669(微信同号) 电话☎️18948197659(微信同号) QQ: 3260108971 QQ:1299721902 本地群: @szam66 个人频道: @anmo885 视频频道: @szam6668 备…
名字: #茉莉 高端公寓 地区: #龙岗 布吉地铁口 价格:【92项目】399-499 价格:【98项目】600~1198 按摩胸推指滑漫游啪啪 资料: 身高160 体重49KG 胸C 👉联系: @qzy1130 ☎️ 频道: https://t.me/qzy0106 🤖双向联系: @qzyaa_bot 🐧QQ1309320056 标签: #千元以上下 #敏感 #制服 #丝袜 #丹竹头 #六九 #鸳鸯浴 #环保
❗️❗️老师黑榜❗️❗️ 近期有多位狼友被骗,请各位狼友一定认准榜单上和轮播的,群内有很多骗子。榜单上和轮播的,是经过本群验证过的,有保障的。 骗子号:( @dyff8899 个人 婷婷 } { @xpudyo7 💕🍃宝安💝小惠💕🍃 }
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Showing the 12 most recent of 26 posts we hold for @xiaosaob8525. 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
@xiaosaob8525 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
- 8 October 2026
- Most recent edit
- 8 October 2026
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
@mingliu_tokyo · 5,6354 posts深圳抓龙筋🐉前列腺按摩高潮,女王调教➕高跟丝袜诱惑等
@anmo885 · 7,7823 posts深圳南山小花老师疗愈抓龙筋城堡
@nsxh1xh520 · 5,4453 posts深圳前列腺按摩高潮,抓龙筋,异性SPA
@szam66 · 1,3473 posts南山樱花🌸境·疗愈セクシー抓龙筋SPA
@yhuajzlj88 · 8,5552 posts深圳全区 94 95 96 会所 SPA 按摩 水会
@HY888666V · 1,2681 post深圳幻欲の私享半裸抓龙筋SPA
@qypdb · 13,5141 post深圳龙岗诗韵
@qzy0106 · 311 post初见·疗愈半裸抓龙筋
@szlhrispa · 13,2981 post78.COM-官方频道@DF78
@tg78com · 29,8481 post深圳94-95全区
@TH666888V · 1,1781 post深圳全区95(半套👄口爆)会所门店
@TH666888VV95 · 1,4401 post深圳会所95-98好评榜TOP1🥇
@yitiaolongfuwu6666 · 3,5571 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@xiaosaob8525 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 3 posts, 18 August 2026 – 23 August 2026 · confirmed gone 2 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 October 2026 — this entry's latest reading, not the date you are reading this.
“深圳湾老师验证榜” (@xiaosaob8525), 30,440 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/xiaosaob8525.
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.