艺名:#玖柒 深圳:#宝安 #西乡 私聊:@mmpa97 频道:https://t.me/mmpa97mm 消费:550环保 800p 1200环保+啪啪 验证:#视频已验证 标签:#kiss #艳舞 #毒龙 #深喉 #制服 #冰火 #环保 #ABC面

Channel
深圳三和修车大队【宝安区】
@Sz3hdsban
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
8,446subscribers
+1,004 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 | -1002601445951 |
|---|---|
| Type | Channel |
| Username | @Sz3hdsban |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/Sz3hdsban |
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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 why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 23:40 | 8,446 | +127 |
| 14 Sept 2026, 08:58 | 8,319 | +47 |
| 10 Sept 2026, 17:38 | 8,272 | +126 |
| 5 Sept 2026, 23:59 | 8,146 | +86 |
| 1 Sept 2026, 23:28 | 8,060 | +46 |
| 30 Aug 2026, 00:15 | 8,014 | +68 |
| 26 Aug 2026, 17:17 | 7,946 | +61 |
| 24 Aug 2026, 02:13 | 7,885 | +70 |
| 19 Aug 2026, 23:33 | 7,815 | +76 |
| 16 Aug 2026, 16:22 | 7,739 | +100 |
| 13 Aug 2026, 08:04 | 7,639 | +96 |
| 10 Aug 2026, 11:11 | 7,543 | +92 |
| 7 Aug 2026, 07:02 | 7,451 | +9 |
| 6 Aug 2026, 22:45 | 7,442 | no change |
| 6 Aug 2026, 22:38 | 7,442 | first reading |
Engagement
25 posts held, back to 6 August 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 18 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.25%
- avg views ÷ 8,446 subscribers
- Avg views / post
- 359
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 25 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 August 2026 |
|---|---|
| Posts held | 25 (6 August 2026 – 27 August 2026) |
| Views total | 359 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 19:45 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 33s
- Average length
- 12s
Measured directly from 8 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.
Recent posts
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艺名:#晨晨 深圳:#宝安 私聊:@hcy2020 双向:@hcy2020bot 频道:https://t.me/hcy20201 消费:399(飞机60分钟) 499(口爆60分钟) 998(双飞两次口爆60分钟) 验证:#视频已验证 标签:#舌吻 #六九 #胸推 #臀推 #丝袜制服 #毒龙 #按摩
艺名:#晨曦 深圳:#宝安 #西乡 私聊:@Ciiu8 双向:@Courri8_bot 频道:https://t.me/Ceeuo2 消费:600p 1200pp 验证:#视频已验证 标签:#Kiss #六九 #胸推 #鸳鸯浴 #漫游 #指滑 #毒龙 #臀推
艺名:#丽丽 深圳:#宝安 #西乡 私聊:@LINA521520 双向:@Lina521521_bot 频道:https://t.me/LN66889900 消费:400(飞机60分钟) 500(口爆60分钟) 998(双飞口爆60分钟) 验证:#视频已验证 标签:#舌吻 #六九 #胸推 #臀推 #丝袜制服 #毒龙 #按摩
艺名:#晓晓 深圳:#宝安 #西乡 私聊:@xiao168999 双向:@xiaoxiaolove1314_bot 频道:https://t.me/xiao93888 消费:400(环保60分钟) 500(口爆60分钟) 888(双飞两次口爆60分钟) 验证:#视频已验证 标签:#指滑 #六九 #鸳鸯浴 #丝袜制服 #按摩 #莞式 #毒龙
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艺名:#秋秋 深圳:#宝安 #西乡 私聊:@zdy704 双向:@zdy704bot 频道:https://t.me/zdy704112 消费:400(环保60分钟) 500(口爆60分钟) 1000(双飞两次口爆60分钟) 验证:#视频已验证 标签:#胸推 #六九 #水中萧 #冰火两重天 #ab面 #莞式 #毒龙
艺名:#猫姐 深圳:#宝安 #西乡 私聊:@maojie66 双向:@maojie66_bot 频道:https://t.me/shenzhenshunv 消费:500p 1000pp 验证:#视频已验证 标签:#熟女 #六九 #制服 #口爆 #胸推 #漫游 #御姐 (PP送全身推油按摩)
艺名:#小西瓜 深圳:#宝安 私聊:@xg6969168 双向:@xigua_botbot 频道:https://t.me/xg1236969 消费:800p 1600pp 验证:#视频已验证 标签:#舌吻 #六九 #鸳鸯浴 #丝袜制服 #嫩妹 #胸推
Showing the 12 most recent of 25 posts we hold for @Sz3hdsban. 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.
Mentions
Named by 1 registered channel — 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.
@jisou2 · 1,747,9803 posts圈圈的小窝
@aqq584520 · 4671 post安诺㊙️密研究所🍼
@Ceeuo2 · 2791 post晨晨私人工作室
@hcy20201 · 1,7071 post雯雯的后花园
@jdjbbxjb · 8151 post宝安莞式服务备用福利频道
@ler225533 · 5281 post丽丽个人频道
@LN66889900 · 4551 post宝安 麦麦子的外围日记 可上门
@mai0601 · 3,6751 post宝安导师级莞式之前旧频道被封了
@momo524136 · 2,8951 post宝安熟女个人兼职💋
@shenzhenshunv · 3,5081 post深圳宝安吉伊抓龙筋丝足SM
@szbajypd · 4,4751 post搜女出海 - Gmail账号 - Google账号 - 谷歌邮箱
@szklmqz · 6,6251 post桃桃的私人小屋
@tiaotiaozn3344 · 1,0691 post晓晓个人频道
@xiao93888 · 3,4551 post🌹沐沐的后宫🌹
@xiaoyizi8686 · 9691 post瑶瑶欢乐谷
@yaoyao4699 · 4,3281 post梓涵的小窝
@youthshh · 1,0631 post小曼玉后花园
@zhangbaizhi11 · 1,2201 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“深圳三和修车大队【宝安区】” (@Sz3hdsban), 8,446 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Sz3hdsban.
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.