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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 |
|---|---|
| Type | Channel |
| Username | @Sz3hdslg |
| 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 | 7 November 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Nov 2026, 05:57 | 6,113 | +21 |
| 4 Nov 2026, 13:48 | 6,092 | +10 |
| 1 Nov 2026, 23:06 | 6,082 | +32 |
| 30 Oct 2026, 09:28 | 6,050 | +2 |
| 27 Oct 2026, 08:39 | 6,048 | -7 |
| 24 Oct 2026, 12:56 | 6,055 | +34 |
| 21 Oct 2026, 14:48 | 6,021 | +27 |
| 18 Oct 2026, 06:01 | 5,994 | +37 |
| 15 Oct 2026, 09:17 | 5,957 | +41 |
| 12 Oct 2026, 02:58 | 5,916 | +24 |
| 5 Oct 2026, 08:21 | 5,892 | +37 |
| 26 Sept 2026, 15:41 | 5,855 | +57 |
| 17 Sept 2026, 23:55 | 5,798 | +99 |
| 13 Sept 2026, 18:21 | 5,699 | +31 |
| 9 Sept 2026, 18:15 | 5,668 | +111 |
| 4 Sept 2026, 19:18 | 5,557 | +52 |
| 1 Sept 2026, 12:47 | 5,505 | +47 |
| 29 Aug 2026, 13:09 | 5,458 | +65 |
| 26 Aug 2026, 14:34 | 5,393 | +41 |
| 23 Aug 2026, 10:02 | 5,352 | first 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.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 17 (6 August 2026 – 5 November 2026) |
| Views total | 1,618 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 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).
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
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
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
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
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
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
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
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
龙华丢丢骗定金 @diudiu1121 不要信,妹子估计跑路了,中介骗定金。
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
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.
Names
Channels on the register whose handles appear in this channel's posts.
@bujixiaoyue6 · 1,2021 post全国莞式全套会所
@fuancai · 11 post快乐的佳佳
@jiajia00568xiaowo · 171 post🥳虎牙妹妹的朋友圈💕
@jsnsiise1 · 1,1431 post深圳龙岗 邻家小姐姐
@ksc492993 · 6,1751 post思思的频道
@sisi_8188 · 1,9191 post深圳龙岗布吉莞式雯雯
@WYN168888 · 3,2321 post坂田灵儿中转频道
@Xk931016 · 2791 post深圳坂田👄小莉的频道
@XL2226668888 · 2,8671 post深圳龙岗坂田小小 中转群
@xxiao41 · 2,1041 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
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 2
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@Sz3hdslg named 2 handles 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 1 post, 9 August 2026 – 9 August 2026 · confirmed gone 29 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
named in 1 post, 9 August 2026 – 9 August 2026 · confirmed gone 13 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 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.