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Channel

深圳三和修车大队【龙岗区】

@Sz3hdslg

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry

6,113subscribers

+1,158 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-1002531670559
TypeChannel
Username@Sz3hdslg
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 live7 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/Sz3hdslg

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 84% 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

4,9556,1135,5346 August 2026 — 4,955 subscribers6 August 2026 — 4,955 subscribers7 August 2026 — 4,961 subscribers9 August 2026 — 5,049 subscribers12 August 2026 — 5,123 subscribers16 August 2026 — 5,232 subscribers20 August 2026 — 5,290 subscribers23 August 2026 — 5,352 subscribers26 August 2026 — 5,393 subscribers29 August 2026 — 5,458 subscribers1 September 2026 — 5,505 subscribers4 September 2026 — 5,557 subscribers9 September 2026 — 5,668 subscribers13 September 2026 — 5,699 subscribers17 September 2026 — 5,798 subscribers26 September 2026 — 5,855 subscribers5 October 2026 — 5,892 subscribers12 October 2026 — 5,916 subscribers15 October 2026 — 5,957 subscribers18 October 2026 — 5,994 subscribers21 October 2026 — 6,021 subscribers24 October 2026 — 6,055 subscribers27 October 2026 — 6,048 subscribers30 October 2026 — 6,050 subscribers1 November 2026 — 6,082 subscribers4 November 2026 — 6,092 subscribers7 November 2026 — 6,113 subscribers6 August 20267 November 2026
27 measurements spanning 92 days, net +1,158. 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 4,781–6,287 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
7 Nov 2026, 05:576,113+21
4 Nov 2026, 13:486,092+10
1 Nov 2026, 23:066,082+32
30 Oct 2026, 09:286,050+2
27 Oct 2026, 08:396,048-7
24 Oct 2026, 12:566,055+34
21 Oct 2026, 14:486,021+27
18 Oct 2026, 06:015,994+37
15 Oct 2026, 09:175,957+41
12 Oct 2026, 02:585,916+24
5 Oct 2026, 08:215,892+37
26 Sept 2026, 15:415,855+57
17 Sept 2026, 23:555,798+99
13 Sept 2026, 18:215,699+31
9 Sept 2026, 18:155,668+111
4 Sept 2026, 19:185,557+52
1 Sept 2026, 12:475,505+47
29 Aug 2026, 13:095,458+65
26 Aug 2026, 14:345,393+41
23 Aug 2026, 10:025,352first reading

Engagement

17 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 12 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.41%
avg views ÷ 6,113 subscribers
Avg views / post
270
6 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
6
of 17 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 5 November 2026
Posts held17 (6 August 2026 – 5 November 2026)
Views total1,618
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 16:58 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 49s
Average length
11s

Measured directly from 10 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

Telegram’s own ‘edited’ marker: 0 of 6 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).

5 Nov 2026, 06:26 UTC110 viewsread 5 November 2026
Photo

#95 #环保 #口爆 #丝袜制服 #角色扮演 #水床 #SM #龙岗 #坂田 #小小 #服务天花板 ♻️专业环保,课表上服务上百种,哥哥喜欢就来哦,没有妹妹做不到,只有哥哥想不到。95专业环保,氺床🛏上, SM ☎️私聊 @xxiao02 ☎️中转链接 @xxiao41 ☎️双向机器人: @xxiao369_bot ☎️电话 :17324499667

4 Nov 2026, 10:08 UTC211 viewsread 5 November 2026
Photo

艺名:#佳佳 深圳:#龙岗 私聊:@jiajia00568 双向:@jiajia00568bot 频道:https://t.me/jiajia00568xiaowo 消费:1300p 2300pp 验证:#视频已验证 标签:#舌吻 #长腿 #鸳鸯浴 #丝袜制服 #嫩妹 #三点粉

2 Nov 2026, 11:41 UTC315 viewsread 5 November 2026
Photo

艺名:#露露 深圳:#福田 私聊:@Luyy8788 双向:@Lutt9335Bot 频道:https://t.me/Luyy5566 消费:800p 1500pp 验证:#视频已验证 标签:#亲吻 #六九 #调情 #鸳鸯浴 #丝袜 #高跟 #嫩妹

2 Nov 2026, 06:27 UTC274 viewsread 5 November 2026
Photo

艺名:#西柚 深圳:#龙岗 私聊:@xiyou345 双向:@xiyou345bot 频道:https://t.me/+5UqcZBkHAsI3ODhl 消费:1300p 2300pp 验证:#视频已验证 标签:#亲吻 #六九 #调情 #鸳鸯浴 #丝袜 #高跟 #嫩妹

31 Oct 2026, 15:31 UTC389 viewsread 5 November 2026
Photo

艺名:#小雅 深圳:#龙岗 私聊:@COM000111 双向:@COM000333bot 频道:https://t.me/COM000222 消费:750p 1400pp 验证:#视频已验证 标签:#舌吻 #六九 #鸳鸯浴 #丝袜制服 #嫩妹 #长腿 #胸推 #三点粉

31 Oct 2026, 07:55 UTC319 viewsread 4 November 2026
Photo

艺名:#瞌睡虫 深圳:#龙岗 私聊:@ksc1314520 双向:@ksc492993_bot 频道:https://t.me/ksc492993 消费:500p 1000pp 验证:#视频已验证 标签:#六九 #鸳鸯浴 #口爆 #波推 #制服 #啪啪

11 Aug 2026, 08:23 UTC141 viewsread 12 August 2026
Photo

艺名:#诺诺 深圳:#龙岗 #坂田 私聊:@nuonu99 双向:@nuonuo8898_bot 频道:https://t.me/fuancai 消费:799p 1399pp 验证:#视频已验证 标签:#kiss #六九 #调情 #鸳鸯浴 #丝袜制服 #嫩妹 #啪啪

9 Aug 2026, 07:14 UTC315 viewsread 12 August 2026
Photo

艺名:#小虎牙 深圳:#龙岗 #坂田 私聊:@XiaOYYUO 双向:@ttsdkb_bot 频道:https://t.me/jsnsiise1 消费:900p 1500pp 验证:#视频已验证 标签:#舌吻 #六九 #鸳鸯浴 #调情 #丝袜制服 #嫩妹 #啪啪

8 Aug 2026, 15:33 UTC355 viewsread 12 August 2026
Photo

艺名:#小尤 深圳:#龙岗 私聊:@xiaoyoubaoba 双向:@kjiskjgh23367_bot 频道:https://t.me/gggghft 消费:800p 1200pp 验证:#视频已验证 标签:#亲嘴 #鸳鸯浴 #丝袜制服 #嫩妹 #长腿 #三点粉 #紧致

8 Aug 2026, 14:41 UTC341 viewsread 12 August 2026

龙华丢丢骗定金 @diudiu1121 不要信,妹子估计跑路了,中介骗定金。

8 Aug 2026, 09:20 UTC363 viewsread 12 August 2026
Photo

艺名:#思思 深圳:#龙岗 #龙岗中心城 私聊:@sisi_888 双向:@si520_bot 频道:https://t.me/sisi_8188 消费:700p 1300pp 验证:#视频已验证 标签:#舌吻 #六九 #鸳鸯浴 #丝袜制服 #长腿 #高跟鞋

8 Aug 2026, 06:45 UTC129 viewsread 9 August 2026
Photo

艺名:#妮妮 深圳:#龙岗 #坂田 私聊:@nini8981 双向:@nini8885bot 频道:https://t.me/ninini7733 消费:800p 1500pp 验证:#视频已验证 标签:#舌吻 #六九 #鸳鸯浴 #丝袜制服 #嫩妹 #长腿 #三点粉

Showing the 12 most recent of 17 posts we hold for @Sz3hdslg. 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.

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

“深圳三和修车大队【龙岗区】” (@Sz3hdslg), 6,113 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/Sz3hdslg.

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.