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Channel

深圳三和修车大队【宝安区】

@Sz3hdsban

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

7,739subscribers

+297 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
TypeChannel
Username@Sz3hdsban
Description上榜推广联系 @SZ88330 报告投稿联系 @SZ_s_h_d_s 选妃榜单 https://t.me/+p350NMfDt-oyYTFl 选妃轮播 https://t.me/+5wLTl8pr7k03MzJl 出击报告 https://t.me/+5Qg0De6sn85iNTU1 老师黑榜 https://t.me/+O-PRLOdYIaY5ZGM9
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/Sz3hdsban

Growth

7,4427,7397,590.56 August 2026 — 7,442 subscribers6 August 2026 — 7,442 subscribers7 August 2026 — 7,451 subscribers10 August 2026 — 7,543 subscribers13 August 2026 — 7,639 subscribers16 August 2026 — 7,739 subscribers6 August 202616 August 2026
6 measurements spanning 10 days, net +297. 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 7,397–7,784 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 16:227,739+100
13 Aug 2026, 08:047,639+96
10 Aug 2026, 11:117,543+92
7 Aug 2026, 07:027,451+9
6 Aug 2026, 22:457,442no change
6 Aug 2026, 22:387,442first reading

Engagement

15 posts held, back to 6 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 12 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.80%
avg views ÷ 7,739 subscribers
Avg views / post
372
15 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
15
of 15 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 17 August 2026
Posts held15 (6 August 202617 August 2026)
Views total5,577
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 06:30 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
2,530
Videos
366
Links
323

Lifetime counters from Telegram’s own channel header, read 18 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1m 08s
Average length
10s

Measured directly from 7 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

17 Aug 2026, 09:37 UTC224 viewsread 18 August 2026
Photo

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)

17 Aug 2026, 04:06 UTC295 viewsread 18 August 2026
Photo

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

15 Aug 2026, 06:13 UTC511 viewsread 18 August 2026
Photo

艺名:#小柯 深圳:#宝安 私聊:@Xixi1998888 双向:@xiaoke99_bot 频道:https://t.me/+lxNDv8I4ync1MGNl 消费:788p 1400pp 验证:#视频已验证 标签:#kiss #六九 #水中萧 #毒龙 #丝袜制服 #指滑

14 Aug 2026, 09:31 UTC600 viewsread 18 August 2026
Photo

艺名:#麦麦子 深圳:#宝安 #西乡 私聊:@maimaizibe 双向:@maimaizibe8bot 频道:https://t.me/mai0601 消费:1000p 1600pp 验证:#视频已验证 标签:#舌吻 #六九 #陪浴 #冰火 #胸推 #丝袜 #嫩妹

12 Aug 2026, 13:52 UTC97 viewsread 12 August 2026
Photo

艺名:#倩倩 深圳:#宝安 私聊:@fwthbqq 双向:@qianqiaarwbnnbot 频道:https://t.me/momo524136 消费:500p 900pp 1300两小时不限次 验证:#视频已验证 标签:#舌吻 #AB面 #六九 #毒龙 #胸推 #臀推 #会所服务 #御姐

12 Aug 2026, 07:19 UTC181 viewsread 12 August 2026
Photo

艺名:#桃桃 深圳:#宝安 私聊:@waxll2026 双向:@xll2026bot 频道:https://t.me/tiaotiaozn3344 消费:499(环保口爆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 #鸳鸯浴 #丝袜制服 #嫩妹 #口爆 #按摩 #毒龙

12 Aug 2026, 07:19 UTC180 viewsread 12 August 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_1960006299

9 Aug 2026, 07:38 UTC520 viewsread 12 August 2026
Photo

💖宝安 吉伊私人高端抓龙筋 深圳05后高颜值嫩妹抓龙筋 适合足控 颜值控 兼顾颜值和手法 碧海湾地铁站50米 本人照片 手法专业 培训到位 1.全身推油 2.三角区专业抓龙筋 3.丝足足交调情 4.双手/双足高潮释放 ✅A套餐 598 70分钟 ✅B套餐 698 90分钟 ✅C套餐 998 120分钟 宝安预约 @szjybapm 宝安频道 @szbajypd 双向限制 @szjybabot 聊天抽奖群 @szklmqz qq:1591914964

9 Aug 2026, 07:21 UTC413 viewsread 12 August 2026
Photo

艺名:#乐儿 深圳:#宝安 私聊:@yaoyaoaiaibb 双向:@leier215botbot 频道:https://t.me/ler225533 消费:600p 1100pp 1388两小时 验证:#视频已验证 标签:#六九 #舌吻 #刮痧 #毒龙 #口爆 #深喉 #御姐 #莞式

8 Aug 2026, 07:35 UTC515 viewsread 12 August 2026
Photo

艺名:#雯雯 深圳:#宝安 #固戍 私聊:@hcfhjur 双向:@bdjbbdtetris_bot 频道:https://t.me/jdjbbxjb 消费:520p 860pp 验证:#视频已验证 标签:#舌吻 #鸳鸯浴 #推油 #胸推 #制服 #按摩 #360环吹 #啪啪

8 Aug 2026, 06:36 UTC515 viewsread 12 August 2026
Photo

艺名:#瑶瑶 深圳:#宝安 #西乡 私聊:@yaoyao4679 双向:@yaoyao618bot 频道:https://t.me/yaoyao4699 消费:1000p 1600pp 验证:#视频已验证 标签:#舌吻 #六九 #陪浴 #胸推 #角色扮演 #丝袜制服 #嫩妹

6 Aug 2026, 15:29 UTC426 viewsread 9 August 2026
Photo

艺名:#程咬金 深圳:#宝安 私聊:@chengyaojin112 双向:@zhangbozhi123Bot 频道:https://t.me/zhangbaizhi11 消费:1000p 2000pp 验证:#视频已验证 标签:#舌吻 #鸳鸯浴 #六九 #胸推 #水中萧 #制服 #嫩妹

Showing the 12 most recent of 15 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.

Citation-graph rank

Citation-graph rank — 1,020,692 of 1,549,704entries 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.

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.

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 16 August 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), 7,739 subscribers as measured 16 August 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.