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Telegram profile photo for 深圳三和修车大队-【嫩妹御姐资源】

Channel

深圳三和修车大队-【嫩妹御姐资源】

@SZ_3hdsbd

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry

51,208subscribers

+9,311 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 live18 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 18 September 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 why it has no browse page of its own yet.

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 word for word on 1 other registered channel. 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/19939 · this entry6 Aug 2026, 11:51 UTC@SZ_shcjzl/188876 Aug 2026, 11:51 UTC1.00under a minute
@SZ_3hdsbd/19946 · this entry6 Aug 2026, 13:20 UTC@SZ_shcjzl/188946 Aug 2026, 13:20 UTC1.00under a minute
@SZ_3hdsbd/19951 · this entry6 Aug 2026, 15:27 UTC@SZ_shcjzl/188996 Aug 2026, 15:27 UTC1.00under a minute
@SZ_3hdsbd/19972 · this entry7 Aug 2026, 06:01 UTC@SZ_shcjzl/189227 Aug 2026, 06:01 UTC1.00under a minute
@SZ_3hdsbd/19980 · this entry7 Aug 2026, 06:52 UTC@SZ_shcjzl/189307 Aug 2026, 06:52 UTC1.00under a minute
@SZ_3hdsbd/19986 · this entry7 Aug 2026, 09:59 UTC@SZ_shcjzl/189367 Aug 2026, 09:59 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@SZ_shcjzl7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (70)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 9 comparable posts for this entry, running 6 August 2026 to 7 August 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).

Across the whole group of 2, the earliest publisher we hold is @SZ_3hdsbd — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.

Growth

41,89751,20846,552.56 August 2026 — 41,897 subscribers6 August 2026 — 41,897 subscribers7 August 2026 — 42,048 subscribers8 August 2026 — 42,320 subscribers9 August 2026 — 42,529 subscribers10 August 2026 — 42,581 subscribers11 August 2026 — 42,901 subscribers12 August 2026 — 43,104 subscribers13 August 2026 — 43,380 subscribers14 August 2026 — 43,803 subscribers16 August 2026 — 44,154 subscribers17 August 2026 — 44,410 subscribers18 August 2026 — 44,585 subscribers19 August 2026 — 44,842 subscribers20 August 2026 — 45,068 subscribers21 August 2026 — 45,311 subscribers23 August 2026 — 45,551 subscribers24 August 2026 — 45,823 subscribers25 August 2026 — 45,842 subscribers27 August 2026 — 46,067 subscribers27 August 2026 — 46,248 subscribers28 August 2026 — 46,399 subscribers29 August 2026 — 46,623 subscribers30 August 2026 — 46,828 subscribers1 September 2026 — 47,055 subscribers2 September 2026 — 47,288 subscribers3 September 2026 — 47,427 subscribers4 September 2026 — 47,897 subscribers7 September 2026 — 48,741 subscribers10 September 2026 — 49,464 subscribers12 September 2026 — 49,592 subscribers14 September 2026 — 50,051 subscribers15 September 2026 — 50,442 subscribers18 September 2026 — 51,208 subscribers6 August 202618 September 2026
34 measurements spanning 42 days, net +9,311. 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 40,500–52,605 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
18 Sept 2026, 04:5851,208+766
15 Sept 2026, 23:2050,442+391
14 Sept 2026, 08:5750,051+459
12 Sept 2026, 19:4149,592+128
10 Sept 2026, 23:3749,464+723
7 Sept 2026, 22:3748,741+844
4 Sept 2026, 21:1947,897+470
3 Sept 2026, 03:1047,427+139
2 Sept 2026, 02:1847,288+233
1 Sept 2026, 00:1547,055+227
30 Aug 2026, 22:4746,828+205
29 Aug 2026, 19:0746,623+224
28 Aug 2026, 19:2646,399+151
27 Aug 2026, 21:3346,248+181
27 Aug 2026, 00:4846,067+225
25 Aug 2026, 21:2745,842+19
24 Aug 2026, 23:5445,823+272
23 Aug 2026, 11:0645,551+240
21 Aug 2026, 20:3445,311+243
20 Aug 2026, 18:2645,068first reading

Engagement

233 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 93 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.783%
avg views ÷ 51,208 subscribers
Avg views / post
401
148 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
148
of 233 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 21 September 2026
Posts held233 (6 August 202621 September 2026)
Views total59,314
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Sept 2026, 04:49 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
1,270
Videos
232
Links
255

Lifetime counters from Telegram’s own channel header, read 21 September 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
18m 53s
Average length
10s

Measured directly from 111 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

21 Sept 2026, 04:21 UTC56 viewsread 21 September 2026
Photo

艺名:#水水 深圳:#南山 私聊:@shuishuiyo1 双向:@shuishuiyo1_bot 频道:https://t.me/shuishuiyo 消费:1000p 1900pp 验证:#视频已验证 标签:#kiss #毒龙 #鸳鸯浴 #制服 #胸推 #冰火 #莞式

20 Sept 2026, 15:07 UTC439 viewsread 21 September 2026
Photo

艺名:#嘟嘟 深圳:#南山 私聊:@ddnylhhttf 双向:@ddbbjqrbot 频道:https://t.me/dddxjfcfc 消费:999p 1800pp 验证:#视频已验证 标签:#舌吻 #六九 #鸳鸯浴 #丝袜制服 #嫩妹 #啪啪

20 Sept 2026, 09:49 UTC575 viewsread 21 September 2026
Photo

艺名:#涵涵 深圳:#龙岗 私聊:@hanhanb789 双向:@hanhanb789bot 频道:https://t.me/+FLJWbQSLGXE2ZjRi 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

19 Sept 2026, 14:09 UTC887 viewsread 21 September 2026
Photo

艺名:#小希 深圳:#福田 私聊:@xiaoxibaoer1 双向:@xiaoxi10_bot 频道:https://t.me/+BCh8W76lZTcwNTVl 消费:1300p 2500pp 验证:#视频已验证 标签:#kiss #六九 #鸳鸯浴 #丝袜制服 #胸推 #嫩妹 #长腿 #三点粉

19 Sept 2026, 12:06 UTC737 viewsread 20 September 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

19 Sept 2026, 12:06 UTC716 viewsread 20 September 2026
Photo

艺名:#巨乳小糖糖 深圳:#宝安 #固戍 私聊:@dudu95ee 双向:@dudu95eebot 频道:@dudu95abc 消费:600p 1100pp 验证:#视频已验证 标签:#深喉口爆 #胸推 #大奶 #巨乳 #丝袜制服 #毒龙

19 Sept 2026, 11:47 UTC425 viewsread 20 September 2026
Photo

艺名:#媛媛 深圳:#宝安 私聊:@yuan20050518 双向:@yuanjiqiren0505bot 频道:https://t.me/yuanb050518 消费:800p 1600pp 验证:#视频已验证 标签:#舌吻 #鸳鸯浴 #舔蛋蛋 #胸推 #丝袜制服 #嫩妹

18 Sept 2026, 14:47 UTC405 viewsread 19 September 2026
Photo

艺名:#思琪 深圳:#福田 私聊:@siqi202611 双向:@siqi202611Bot 频道:https://t.me/siqi202611pd 消费:800p 1600pp 验证:#视频已验证 标签:#高跟 #舔蛋蛋 #kiss #丝袜 #制服 #啪啪

18 Sept 2026, 11:36 UTC503 viewsread 19 September 2026
Photo

艺名:#小骚货 深圳:#南山 私聊:@xiaosaohuo88 双向:@xiaosaohuo88bot 频道:https://t.me/xiaosaohuo8888 消费:1000p 1500pp 验证:#视频已验证 标签:#舌吻 #六九 #鸳鸯浴 #调情 #啪啪 #一条龙

18 Sept 2026, 09:23 UTC515 viewsread 19 September 2026
Photo

😀😀😀😀 深圳商K(顶级游戏场)(比基尼换装场)😒 顶级场商务KTV 😝小时场摸摸唱 承接各种商务接待 应酬 聚会 单刷 公司团建 全深圳最嗨最好玩的场子,氛围炸裂、服务拉满真实靠谱,绝不套路💯 每天200➕极品嫩妹驻场 🎶 能亲能喝能摸能玩,专业培训上岗😂😂😂 玩得开,尺度顶配、颜值在线 ------------------------------- 商K天花板 玩法丰富刺激 🙂‍↔️🙂‍↔️🙂‍↔️🙂‍↔️🙂‍↔️🙂‍↔️🙂‍↔️ 好玩不贵 超高性价比 尺度拉满 火力全开❣️嫩妹海选 ——————————————————😀😀😀😀 18-25岁嫩妹 空姐 模特 网红 大学生 欢迎各位大佬前来体验极致夜生活😀😀😀😀😀😀😀 每天少量单刷引流体验套餐等着您(包酒水、妹子、包房费) 您的每一次捧场,我都会铭记于 心,您的一句认可,也会让我开心😀😀😀😀 很久!我能做的只有认真、努力、 真诚,不辜负您的每一次信任和支持! 😀😀😀 📥

18 Sept 2026, 07:30 UTC542 viewsread 19 September 2026
Photo

艺名:#晨晨 深圳:#福田 私聊:@zblcfh 双向:@xuebao0313_bot 频道:https://t.me/qiqi92777 消费:800p 1500pp 验证:#视频已验证 标签:#舌吻 #六九 #毒龙 #深喉 #胸推 #环游 #刮痧 #嫩妹

17 Sept 2026, 17:01 UTC317 viewsread 18 September 2026
Photo

艺名:#呆呆 深圳:#南山 私聊:@dai5180 双向:@siliaojiqiren_98bot 频道:https://t.me/daijb98 消费:900p 1700pp 验证:#视频已验证 标签:#舌吻 #六九 #鸳鸯浴 #丝袜制服 #嫩妹 #啪啪

Showing the 12 most recent of 233 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 1 post 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 August 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 3 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 · 1,747,980
15 posts
深圳宝安吉伊抓龙筋丝足SM
@szbajypd · 4,475
4 posts
佳佳的朋友圈
@lanlan520000 · 1,176
3 posts
深圳94-95《金牌🥇会所》
@a22138278 · 4,693
2 posts
深圳南山艾希(骚姐姐)SM舔👅bb 足交🉑户外
@Aixiok999w · 3,285
2 posts
坂田拉拉的频道
@bujixiaoyue6 · 1,375
2 posts
深圳94-95《出击交流群》
@hg202488 · 3,581
2 posts
少女屋素人学生频道
@miaonv1 · 2,422
2 posts
深圳商务KTV 小时场摸摸唱 比基尼场
@O_1h3lOqdlxiOGQ1 · 792
2 posts
全国包养萝莉/处女/学妹(广告频道)
@shuier333777 · 15
2 posts
安博体育|U8国际|万汇娱乐
@Shuierzhulitetis_bot · 2
2 posts
👠日式丝足游戏馆(广州丝足深圳丝足)#广州丝足#深圳丝足
@sizu666013 · 4,315
2 posts
coco粉丝们的报告记录
@sizubaogao · 1,517
2 posts
深圳库洛米嫩妹丝足抓龙筋SM⭕️
@szklmgp · 10,794
2 posts
搜女出海 - Gmail账号 - Google账号 - 谷歌邮箱
@szklmqz · 6,527
2 posts
深圳龙华库洛米抓龙筋丝足SM
@szkuluomipd · 9,841
2 posts
深圳福田美乐蒂抓龙筋丝足SM
@szmldpd · 6,588
2 posts
深圳南山毛毯熊抓龙筋丝足SM
@szmtxpd · 3,691
2 posts
深圳南山05后半裸丝足抓龙筋 玉桂狗店
@szyggpd · 4,272
2 posts
木子小课堂
@wwwmmm1919 · 4,232
2 posts
叶熙熙的云端视界
@yexixi520666 · 6,271
2 posts
兰亭集序·高端享受·私密会所
@lantok888 · 2,747
1 post
听风晓月SPA馆
@tingfengSPA · 1,804
1 post
坂田灵儿中转频道
@Xk931016 · 538
1 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-【嫩妹御姐资源】” (@SZ_3hdsbd), 51,208 subscribers as measured 18 September 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.