Telegram RegisterThe public register of Telegram
Telegram profile photo for 深圳嫩妹少妇约炮榜

Channel

深圳嫩妹少妇约炮榜

@DGXC008

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

51,061subscribers

+13,966 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002285707422
TypeChannel
Username@DGXC008
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/DGXC008

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 59% 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 3 other registered channels. 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
@DGXC008/14739 · this entry15 Aug 2026, 06:46 UTC@Benchixiuche168/632315 Aug 2026, 06:48 UTC1.002 minutes
@DGXC008/14891 · this entry19 Aug 2026, 06:09 UTC@Benchixiuche168/635019 Aug 2026, 06:09 UTC1.00under a minute
@Benchixiuche168/636222 Aug 2026, 11:13 UTC@DGXC008/14946 · this entry22 Aug 2026, 11:14 UTC1.0072 seconds
@DGXC008/15015 · this entry25 Aug 2026, 08:59 UTC@Benchixiuche168/637625 Aug 2026, 08:59 UTC1.00under a minute
@DGXC008/16199 · this entry30 Sept 2026, 10:07 UTC@Benchixiuche168/664330 Sept 2026, 10:08 UTC1.00under a minute
@Benchixiuche168/677315 Oct 2026, 11:41 UTC@DGXC008/16729 · this entry15 Oct 2026, 11:41 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
@Benchixiuche16839 (8/8 hand-verifiable sample passed)1.00under a minute@Benchixiuche168 (26–13)
@szflwbd6 (6/6 hand-verifiable sample passed)1.003.6 hoursthis entry (4–2)
@SZ_3hdsbd5 (5/5 hand-verifiable sample passed)1.0014 days@SZ_3hdsbd (4–1)

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. 32 of the 32 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 355 comparable posts for this entry, running 7 August 2026 to 11 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).

Recorded under the keys clone_copy · clone_source, last confirmed 12 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.

Growth

37,09551,06144,0787 August 202612 November 2026
64 measurements spanning 97 days, net +13,966. 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 35,000–53,156 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
12 Nov 2026, 22:4951,061+224
10 Nov 2026, 13:4750,837+187
9 Nov 2026, 01:4850,650-32
7 Nov 2026, 18:4950,682+15
6 Nov 2026, 18:5050,667+118
5 Nov 2026, 15:5550,549+264
4 Nov 2026, 14:4650,285+128
3 Nov 2026, 13:5850,157+350
2 Nov 2026, 12:0949,807+143
1 Nov 2026, 14:5449,664+7
31 Oct 2026, 11:5149,657+171
30 Oct 2026, 08:2049,486+191
29 Oct 2026, 09:2049,295+135
28 Oct 2026, 08:0949,160+178
27 Oct 2026, 06:2648,982+107
26 Oct 2026, 04:3048,875+140
25 Oct 2026, 07:2748,735+238
24 Oct 2026, 06:4648,497+57
23 Oct 2026, 08:5748,440+93
22 Oct 2026, 06:1048,347first reading

Engagement

436 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 193 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.854%
avg views ÷ 51,061 subscribers
Avg views / post
436
131 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
131
of 436 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 12 November 2026
Posts held436 (6 August 2026 – 12 November 2026)
Views total57,141
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 21:44 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
38m 40s
Average length
12s

Measured directly from 189 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: 6 of 131 posts held from the last 30 days (4.58%) 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).

12 Nov 2026, 14:02 UTC268 viewsread 12 November 2026
Photo

#深圳抓龙筋 #深圳前列腺高潮 #深圳丝足 #深圳女王调教 #深圳上门 #深圳按摩 #深圳龟责 #深圳脱敏 #深圳榨精 丽丽老师:36D真胸,在理疗行业有9年实战经验,全身推油,前列腺按摩,前列腺高潮,针对上班簇,开车簇,久坐,白领成功人士的颈椎腰酸背痛的调理,专业抓龙筋,提升男性功能,补肾壮阳,延缓性衰老,改善阳痿早泄症状,脱敏,边缘控制,三起三落,丝袜拉扯龟责,丝足,马眼,女王调教,高跟丝袜诱惑等! 手法特色: 延时降敏和理疗是特色,手法会根据客人的情况做出调整,属于理疗、功效、舒缓放松于一体,是不可多得的好师傅,需要的贵宾一定要抽时间来体验一下! 工作室地址:深圳罗湖火车站附近 预约QQ:1299721902 QQ:3260108971 ☎️18948197659(微信同号) ☎️ 13424309669(微信同号) TG:@szam888 群聊: @szam66 视频频道 ➡️ @szam6668 个人频道…

11 Nov 2026, 18:19 UTC699 viewsread 12 November 2026
Photo

全套一条🐉(#莞式服务) 📍深圳全区 (有课室) 全套 莞式 上门 楼凤 小圈 中圈 洋酒 口爆 💰400-600p (40分钟) 深圳老师资料群:https://t.me/xiarenxc888 出击验证报告真实群组:https://t.me/xiarencj888 ————————————————— ☎️出击联系 🌸 :@xiarenkf98 双向机器人:@xiarenkf_bot 本群已有人验证过,已交押金(无需任何订金,见面付款👍靠谱资源,放心合作)

11 Nov 2026, 14:16 UTC757 viewsread 12 November 2026
Photo

位置:#宝安 名字:#维维 课费 800P 1500PP 💓私聊: @gyk520 💓频道:@amin5208 💖双向机器人:@Gga131488_bot ✏️标签: #舌吻 #鸳鸯戏水 #乖巧配合 #深喉舔蛋 #制服诱惑

11 Nov 2026, 12:06 UTC774 viewsread 12 November 2026
Photo

🎁更多抽奖 https://t.me/xiu8che 🎟️ 抽奖标题:福田姐妹花老师的优惠卷与红包 📪抽奖说明:中奖者机器人会发送中奖信息 中奖者与老师自行联系领取:@szxx009 🎫 参与条件: 🎫 必须有用户名 🎫 加入-双胞胎姐妹花小窝 🎫 加入-深圳奔驰修车大队(纯净版) 🎫 加入-深圳奔驰修车大队报告榜 🎫 加入-深圳嫩妹少妇约炮榜 🎁 奖品内容: 💰️ 18.8口令红包 × 2 💰️ 200通用优惠卷 × 30 📅 开奖时间:2026-11-14 10:00自动开奖 👉 参与抽奖链接: https://t.me/tgLotteryuw8bot?start=join-L179439862696

11 Nov 2026, 11:33 UTC660 viewsread 12 November 2026
Photo

位置:#南山 名字:#锦汐 课费 : 1300P 2200PP 💓私聊: @wanting112 💓频道:@wanting501688 💖双向机器人:@wanting1128_bot ✏️标签: #舌吻 #六九互动 #水中萧 #鸳鸯浴 #丝袜制服

11 Nov 2026, 09:21 UTC558 viewsread 12 November 2026
Photo

位置:#罗湖 名字:#酥酥 (萝莉) 课费 1088P 1888PP 💓私聊: @susu88991 💓频道:https://t.me/susu889988 💖双向机器人:@susu8889991_bot ✏️标签: #舌吻 #鸳鸯戏水 #胸推丝足 #粉嫩可爱 #丝袜诱惑

11 Nov 2026, 07:24 UTC703 viewsread 12 November 2026
Photo

位置:#宝安 名字:#小雅 课费:600P 1000PP 💓私聊:@xy0251 💓频道 : https://t.me/+rt6uvXeM-gU0OTc1 ✏️标签: #舌吻(管饱) #六九 #制服诱惑 #鸳鸯浴 #深喉水中萧

11 Nov 2026, 07:20 UTC148 viewsread 11 November 2026
Photo

位置:#福田 名字:#姐妹花 课费 1200P 2300PP 💓私聊: @szxx009 💓频道:https://t.me/szxxx009 💖双向机器人: ✏️标签: #舌吻 #六九互动 #双飞 #鸳鸯浴 #毛推漫游

11 Nov 2026, 06:39 UTC164 viewsread 11 November 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_7423958963

11 Nov 2026, 06:39 UTC156 viewsread 11 November 2026
Photo

🙂🙃😉😌😍🥰😘😗😙😚 【💎钻石】高端外围欢迎您 有什么要求,需要提前和客服沟通,价格及妹子接受能力,避免造成不好的体验感。当见人后,如果妹子人照差距比较大您可以选择退换 💰MM价格: 🥇1800-3000 全套 90分钟2次 🥈:大圈,可外出3000-5000一次 😞预约无需订金,外出先给车费 客服一般不会主动私聊,近期很多群友反馈被骗,主动私聊你的都是骗子! 👗外围妹妹绝大多数为兼职,每个月每个地区妹妹都会有所不同。实际安排时,客服会发当天可以接单的妹妹供您选择 随时联系 可查阅当天开工mm资料供您选择 总有一款是您的菜 一次合作,终身朋友 💥【💎钻石】中圈官方频道 https://t.me/zuanshi16888 💥【💎钻石】 大圈官方频道 https://t.me/zuanshi11223344 🥳😒:@bb9vip 双向联系:@bb9vipBot #深圳外围 #深圳中圈

10 Nov 2026, 09:45 UTC407 viewsread 10 November 2026
Photo

位置:#宝安 #西乡 名字:#安诺 课费 :600P 1200PP 💓私聊: @Ciiu8 💓频道:https://t.me/Ceeuo2 💖双向机器人:@Courri8_bot ✏️标签: #激情六九 #无套口吹 #调情诱惑 #丝袜制服 #各种姿势

10 Nov 2026, 09:33 UTC405 viewsread 10 November 2026
Photo

位置:#南山 名字:#泡泡 课费 :1300P 2200PP 💓私聊: @paopaoxf5 💓频道:https://t.me/paopao5283x 💖双向机器人:@paopaojiqi66abot ✏️标签: #舌吻 #胸推舔蛋 #调情诱惑 #无套口吹 #丝袜制服

Showing the 12 most recent of 436 posts we hold for @DGXC008. 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

@DGXC008 edited 3 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
14 August 2026
Most recent edit
21 October 2026

Posts recorded as deleted after publishing

We recorded 3 posts on @DGXC008 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
10 September 2026
Most recent seen missing
20 October 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
2

Mentions

Named by 10 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.

深圳奔驰修车大队(纯净版)
@BCXC0001 · 24,722
38 posts
深圳奔驰修车大队报告榜
@Benchixiuche168 · 30,006
38 posts
🎁免费抽奖助手🎁
@tgLotteryuw8bot · 13,177
38 posts
Telegram抽奖活动
@xiu8che · 99,219
38 posts
极搜🔍资源搜索@JISOU
@jisou2 · 2,592,198
26 posts
💎钻石深圳高端大圈频道
@zuanshi11223344 · 1,624
7 posts
💎钻石深圳质量中圈频道
@zuanshi16888 · 1,695
7 posts
深圳宝安梦梵の小天地
@Mf228315 · 3,268
6 posts
深圳库洛米嫩妹丝足抓龙筋SM⭕️
@szklmgp · 1,594
5 posts
深圳抓龙筋🐉前列腺按摩高潮,女王调教➕高跟丝袜诱惑等
@anmo885 · 8,378
4 posts
深圳全区《94-95-98》
@h415879 · 553
4 posts
江晚晴💘私密朋友圈
@jwqing99 · 3,933
4 posts
深圳全区《94-95-98》出击群
@k415879 · 2,092
4 posts
深圳前列腺按摩高潮,抓龙筋,异性SPA
@szam66 · 1,352
4 posts
宝安小雨频道🌹个人自聊
@abc5858158 · 3,137
3 posts
深圳宝安环保F罩杯巨乳小糖糖
@dudu95abc · 6,863
3 posts
深圳南山反差婊源源的兼职日常
@Ecy003x · 3,648
3 posts
龙华❤小羽❤《莞式服务》自聊
@longhuayss · 1,472
3 posts
南山 思欲 疗愈半裸抓龙筋SPA
@Lxzlj52000 · 5,944
3 posts
深圳魅色·寸止极享抓龙筋共浴SPA
@meisSPA520 · 7,045
3 posts
宝安熟女个人兼职💋
@shenzhenshunv · 3,680
3 posts
深圳💎中高端外围 香奈儿
@shenzhenwaiweixner2025 · 9,104
3 posts
深圳福田中圈
@xo2025sz2025 · 582
3 posts
香奈儿深圳全区高端外围
@xxspace2025 · 11,918
3 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 12 November 2026 — this entry's latest reading, not the date you are reading this.

“深圳嫩妹少妇约炮榜” (@DGXC008), 51,061 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/DGXC008.

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.