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Channel

深圳三和修车大队-【嫩妹御姐资源】

@SZ_3hdsbd

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

64,217subscribers

+22,320 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002528673596
TypeChannel
Username@SZ_3hdsbd
Description✅上榜员 @SZ88330 ✅中转站 @Sz3hZzz ✅交流群 @sz3hds ✅选妃群 @SZ_shcjzl1
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 live15 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 15 November 2026
On Telegramt.me/SZ_3hdsbd

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 86% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 9 other registered channels. This entry also sits inside a group of 43 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@SZ_3hdsbd/20617 · this entry24 Aug 2026, 12:11 UTC@SZ_shcjzl/1965924 Aug 2026, 12:11 UTC1.00under a minute
@SZ_3hdsbd/20806 · this entry30 Aug 2026, 08:13 UTC@SZ_shcjzl/1987630 Aug 2026, 08:14 UTC1.00under a minute
@SZ_3hdsbd/20848 · this entry31 Aug 2026, 14:22 UTC@SZ_shcjzl/1993231 Aug 2026, 14:22 UTC1.00under a minute
@SZ_shcjzl/2103722 Sept 2026, 04:42 UTC@SZ_3hdsbd/21805 · this entry22 Sept 2026, 04:42 UTC1.00under a minute
@SZ_3hdsbd/21939 · this entry27 Sept 2026, 10:29 UTC@SZ_shcjzl/2120227 Sept 2026, 10:29 UTC1.00under a minute
@SZ_3hdsbd/22255 · this entry7 Oct 2026, 16:22 UTC@SZ_shcjzl/215737 Oct 2026, 16:22 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@SZ_shcjzl213 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (209–4)
@Sz3hdsban22 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (22–0)
@Sz3hdslg12 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (12–0)
@szflwbd7 (7/7 hand-verifiable sample passed)0.9910 days@szflwbd (5–2)
@Sz3hdsft7 (7/7 hand-verifiable sample passed)1.0072 secondsthis entry (7–0)
@Sz3hdsnsq7 (7/7 hand-verifiable sample passed)1.0072 secondsthis entry (7–0)
@AAA12346235 (5/5 hand-verifiable sample passed)1.0021 hoursthis entry (3–2)
@AAA66325 (5/5 hand-verifiable sample passed)1.0045 hoursthis entry (3–2)
@jehdjx5 (5/5 hand-verifiable sample passed)1.0045 hoursthis entry (3–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 15 of the 15 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 413 comparable posts for this entry, running 6 August 2026 to 14 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 43 channels, the one whose matching posts we hold earliest is @sycjdsjb. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 15 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 43 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

LotteryBest抽奖导航
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LotteryBest精选推荐
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༺ཌༀ成都修车俱乐部•车库ༀད༻
@CD_julebu1 · Channel
73,213 subscribers
深圳修车军团【验证榜单】
@shenzhen_xcjt · Channel
60,911 subscribers
长春烟雨楼修车认证榜
@changchuncj8 · Channel
60,829 subscribers
沈阳修车出击队《出击榜》
@sycjdrzbby1 · Channel
56,658 subscribers
杭师大公开榜
@ffffghjjjjhg · Channel
52,361 subscribers
深圳嫩妹修车团【榜单】
@sz_papapa777 · Channel
49,888 subscribers
深圳三和修车大队-【选妃榜单】
@SZ_shcjzl · Channel
34,392 subscribers
北京【海奥华】反馈频道
@hahbeijing5 · Channel
28,941 subscribers
深圳嫩妹茶探府【修车榜单】
@SZ_nmctf9 · Channel
28,686 subscribers
沈阳出击队spa洗浴抓龙筋
@sycjdsjb · Channel
26,999 subscribers
嫩妹社资源总榜
@shdjuygbb · Channel
26,722 subscribers
大连修车风月楼《认证榜》
@qgdl1 · Channel
24,403 subscribers
深圳修车出击大队【榜单】
@SZxiuchechuji_zy · Channel
22,896 subscribers
嫩妹社报告榜
@hzjzddbgb · Channel
20,865 subscribers
深圳修车社区资源榜
@guangdong95277 · Channel
20,053 subscribers
辽宁沈阳周边吃瓜资源
@syxwgbcg · Channel
15,242 subscribers
野寻 · 深圳活动公告
@chasesz_hdgg · Channel
15,157 subscribers
深圳三和修车大队-【优惠券频道】
@SZ3hdsyhj · Channel
13,659 subscribers
野寻·上海修车档案
@chasesh_lsda · Channel
12,849 subscribers
野寻·北京精选榜单
@chasebj_jxbd · Channel
12,547 subscribers
深圳修车出击大队【报告】
@SZxiuchechuji_bg · Channel
12,075 subscribers
成都七仙女· 防掉队
@sichuanchengdu398 · Channel
11,918 subscribers
野寻·北京作业评价
@chasebj_zypj · Channel
11,395 subscribers
深圳野狼修车公开榜
@SZLXF · Channel
10,876 subscribers
野寻·北京活动公告
@chasebj_hdgg · Channel
10,600 subscribers
深圳嫩妹茶探府【出击报告】
@SZ_nmctf7 · Channel
10,189 subscribers
广州佛山《红袖招》公开榜
@FsxcXh0 · Channel
9,890 subscribers
野寻·上海活动公告
@chasesh_hdgg · Channel
8,872 subscribers
深圳三和修车大队【宝安区】
@Sz3hdsban · Channel
8,866 subscribers
✨小天涯·日记✨
@xtyrj · Channel
7,120 subscribers
深圳三和修车大队【福田区】
@Sz3hdsft · Channel
6,952 subscribers
深圳嫩妹修车团【报告】
@sz_papapa666 · Channel
6,885 subscribers
深圳修车军团【修车报告】
@shenzhen_xcbg · Channel
6,429 subscribers
深圳三和修车大队【龙岗区】
@Sz3hdslg · Channel
6,132 subscribers
深圳三和修车大队【南山区】
@Sz3hdsnsq · Channel
6,071 subscribers
野狼抽奖活动
@cjyhhd · Channel
3,113 subscribers
广州佛山《红袖招》报告榜
@fsxcbg0 · Channel
2,940 subscribers
广州佛山《红袖招》抽奖
@Fsxc6 · Channel
2,101 subscribers
深圳修车出击大队【备用榜】
@szxiuchechuji_bd · Channel
1,528 subscribers
深圳嫩妹修车团【嫩妹榜单】
@shenzehn818 · Channel
360 subscribers

Growth

41,89764,39553,14664,2176 August 202615 November 2026
66 measurements spanning 100 days, net +22,320. 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 38,522–67,770 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
15 Nov 2026, 02:5764,217+148
12 Nov 2026, 00:1064,069+268
10 Nov 2026, 02:0963,801-2
8 Nov 2026, 16:2063,803-592
7 Nov 2026, 07:1064,395+132
6 Nov 2026, 07:3964,263+133
5 Nov 2026, 07:5764,130+121
4 Nov 2026, 08:2764,009+163
3 Nov 2026, 09:2863,846+292
2 Nov 2026, 06:4563,554+171
1 Nov 2026, 07:0463,383+355
31 Oct 2026, 04:0863,028+160
30 Oct 2026, 01:0762,868+138
29 Oct 2026, 03:0062,730+107
28 Oct 2026, 00:0562,623+213
26 Oct 2026, 23:3962,410+116
25 Oct 2026, 20:2662,294+85
24 Oct 2026, 23:4062,209+190
24 Oct 2026, 01:4062,019+102
23 Oct 2026, 04:2661,917first reading

Engagement

466 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 206 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.934%
avg views ÷ 64,217 subscribers
Avg views / post
600
111 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
111
of 466 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 15 November 2026
Posts held466 (6 August 2026 – 15 November 2026)
Views total66,573
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 16:23 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
≈1,040
Videos
≈118
Links
≈208

Lifetime counters from Telegram’s own channel header, read 15 November 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
34m 40s
Average length
10s

Measured directly from 205 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: 2 of 111 posts held from the last 30 days (1.80%) 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).

15 Nov 2026, 13:30 UTC222 viewsread 15 November 2026
Photo

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15 Nov 2026, 08:15 UTC429 viewsread 15 November 2026
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艺名:#雯雯 深圳:#罗湖 私聊:@ydbyww 双向:@Ydbywwbot 频道:https://t.me/ydyyas 消费:600p 1100pp 验证:#视频未验证 标签:#鸳鸯浴 #高跟 #丝袜 #胸推 #调情 #舔蛋 #舌吻 #六九

15 Nov 2026, 06:19 UTC518 viewsread 15 November 2026
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💥💥 #广州深圳高端外围💥💥 👉全国大圈可安排👉 #香奈儿高端外围 🥰妹子多多,每天更新,等你来挑 👄深圳总群 https://t.me/shenzhenwaiweixner2025 🥰深圳大圈 https://t.me/xxspace2025 🔡南山中圈 🧩福田中圈 🔡龙岗中圈 🔡龙华中圈 🎭宝安中圈 💍罗湖中圈 🔡名称:#香奈儿 🥰客服:@xo2025sz (客服阿宝) 🥰双向:@ybaoobot 📍位置:#福田 #南山 #龙华 #龙岗 #宝安 #广州

15 Nov 2026, 05:27 UTC470 viewsread 15 November 2026
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艺名:#童童 深圳:#南山 #南山科技园 私聊:@tongtong52 双向:@tbyh_bot 频道:https://t.me/+uM-8JdJ6iQRjNDg1 消费:800p 1500pp 验证:#视频已验证 标签:#六九 #舌吻 #毒龙 #深喉 #口爆 #丝袜 #长腿 #御姐

15 Nov 2026, 05:15 UTC482 viewsread 15 November 2026
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抓龙筋价目表 项目一: ¥599/60分钟 ●精油SPA+臀部理疗+腹部推拿+肩颈理疗+抓龙筋🐲+高玩按摩+释放 项目二: ¥699/70分钟 ●调情探索男性快感+抓龙筋脱敏术🐲+性感甜蜜柔式调情+三重三落+延迟边控+JJ增长训练+甜蜜蜜释放 项目三:799/80分钟 高端情趣半裸+精油SPA+酥麻销魂指尖鼻吸调情+抓龙筋脱敏术🐲+臀臀欲动+延迟边控+前列腺高潮+丝足🦶龟责多重激情释放 上班时间:早11点~晚3点。 以上均無xing服务、 各位老板,先了解课程!不提供任何色情服务。请尊重导师! 🈲皮肤病 🈲低素质、🈲嘴炮🈲嗑💊。 🈚️口🈚️大🈚️全裸!!!请勿扰l 私聊:@fann388 频道:https://t.me/+R6JTt8SwDLNkMjBl QQ:2505403953 #深圳 #龙岗 #布吉

15 Nov 2026, 05:15 UTC453 viewsread 15 November 2026
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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

14 Nov 2026, 06:05 UTC730 viewsread 15 November 2026
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深圳#按摩、#SPA、#抓龙筋、#喝茶私家会所 半(全)裸情趣丝足诱惑+制服诱惑+延时脱敏+前列腺保养+龟责+三起三落,酸爽欲罢不能 以男性健康为核心,提升Jj持久力、硬度、持久力。注重治愈疗效,轻奢高端安全的环境,享受你我独处私密空间。 A餐:700/60分钟 B餐:900/70分钟 C餐:1100/80分钟 D餐:1600/100分钟 私聊:@Justwarm88 双向:@Justwarm88bot 频道:https://t.me/hthlxy 地址:深圳福田上梅林地铁口

13 Nov 2026, 13:14 UTC966 viewsread 15 November 2026
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艺名:#年年 深圳:#龙岗 私聊:@yy5678ffa 双向:@YY567822bot 频道:https://t.me/yy8885678 消费:1000p 1800pp 验证:#视频已验证 标签:#吹箫 #六九 #鸳鸯浴 #丝袜制服 #嫩妹 #三点粉

13 Nov 2026, 11:50 UTC985 viewsread 15 November 2026
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艺名:#瑶瑶(个人抓龙筋) 深圳:#龙岗 #龙岗中心城 私聊:@yaoyao138 双向:@bobazlj_bot 频道:https://t.me/+6VU9s9hBZr8xYmRl 消费:599(60分钟) 799(80分钟) 验证:#视频已验证 标签:#抓龙筋 #环保 #龟责 #丝足 #臀部spa #环游 #指滑

12 Nov 2026, 16:32 UTC≈1,380 viewsread 15 November 2026
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深圳各区平价快餐2/3张一次(20分钟内)每天12:30—23:00营业(适合每一位泻火的兄弟🔥)主打一个靠谱 高质量❤️❤️ #龙华 #坪山 #宝安 #光明 #龙岗 #南山 #罗湖 #福田 看频道选mm报地铁口🚇确定来再私聊我要定位 全部免费提供公寓房间,到后拍照确认,见到妹子合适后付费给小妹,不合适就撤或换 不收任何预约订金🌹 客服💁‍♀️@szkc998 快餐频道:https://t.me/szkc0816888 炸鸡交流群:https://t.me/szkc99709

12 Nov 2026, 08:26 UTC≈1,140 viewsread 14 November 2026
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艺名:#恬恬 深圳:#南山 私聊:@tiantian360 双向:@tiantian360_bot 频道:https://t.me/+yGNsnyQezpIxZDY1 消费:1300p 2200pp 验证:#视频已验证 标签:#舌吻 #六九 #鸳鸯浴 #丝袜制服 #嫩妹 #三点粉

11 Nov 2026, 15:14 UTC934 viewsread 13 November 2026
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艺名:#潼潼 深圳:#光明 私聊:@xiaoqing200011 频道:https://t.me/xiaoqing200 消费:800p 1500pp 验证:#视频已验证 标签:#六九 #胸推 #调情 #丝袜制服 #嫩妹 #啪啪

Showing the 12 most recent of 466 posts we hold for @SZ_3hdsbd. 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

@SZ_3hdsbd edited 2 posts 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 August 2026
Most recent edit
8 October 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 4 registered channels — 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.

Names

Channels on the register whose handles appear in this channel's posts.

极搜🔍资源搜索@JISOU
@jisou2 · 2,644,159
26 posts
🌸清欢半夏👧深圳福田#按摩#SPA#抓龙筋#喝茶#私人会所
@hthlxy · 585
4 posts
大一佳佳的朋友圈🎀
@lanlan520000 · 2,072
4 posts
深圳美少女-丝足 SM频道 深圳丝足 深圳SM
@aisizukong · 14,883
3 posts
深圳南山艾希(骚姐姐)剧情👅bb 足交 野战SM🐶圣水💦
@Aixiok999w · 5,627
3 posts
安诺㊙️密研究所🍼
@Ceeuo2 · 569
3 posts
小婷的报告表
@ghtbaogao · 392
3 posts
桂华亭🌔深圳丝足SM疗愈👠
@guihuating · 2,861
3 posts
深圳(莉莉)抓龙经前高潮.抚触疗愈.脱敏.龟责,女王调教
@hu124567 · 7,792
3 posts
深圳专业抓龙筋,前高 丝足 龟责 女王(福田莉莉)
@hu990108 · 382
3 posts
深圳外围大圈资源
@lkjdc18 · 2,550
3 posts
深圳全区4-6米实惠看图群
@lkjdc7 · 11,795
3 posts
深圳各区嫩妹 中高端外围看图群
@lkjdcp · 8,946
3 posts
龙华❤小羽❤《莞式服务》自聊
@longhuayss · 1,538
3 posts
宝安 一字马 莞式全套
@m8214 · 1,166
3 posts
少女屋素人学生频道
@miaonv1 · 2,712
3 posts
深圳美少女丝足 SM 交流群
@shenzhenmeishaonvsizu · 6,284
3 posts
高颜34d💛水咲泷拉🌸SZ南山(开课)
@SuperbabyAv · 12,605
3 posts
雯雯个人频道
@wenwen6669 · 1,833
3 posts
瑶瑶欢乐谷
@yaoyao4699 · 3,490
3 posts
宝安 魅姬
@eyy6555 · 4,034
2 posts
全国包养萝莉/处女/学妹(广告频道)
@shuier333777 · 18
2 posts
搜女出海 - Gmail账号 - Google账号 - 谷歌邮箱
@szklmqz · 7,112
2 posts
深圳沙井莞式至尊95
@wwyy58858 · 1,067
2 posts

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

“深圳三和修车大队-【嫩妹御姐资源】” (@SZ_3hdsbd), 64,217 subscribers as measured 15 November 2026. Telegram Register, tgregister.com/channel/SZ_3hdsbd.

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.