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Channel

深圳奔驰修车大队报告榜

@Benchixiuche168

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

30,006subscribers

+1,129 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002149087268
TypeChannel
Username@Benchixiuche168
Description奔驰主群: @Benchixiuche 奔驰认证榜: @DGXC008 报告: @Benchixiuche168 上榜推广联络员: @BCXC168_bot 出击在榜老师,如遇骗定金,可联系管理进行赔付!群内每月有白嫖活动~每周发放500元出击🧧每日红包派送🧧出击之路不踩坑
CreatedBetween 1 May 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/Benchixiuche168

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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 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
@DGXC008/1473915 Aug 2026, 06:46 UTC@Benchixiuche168/6323 · this entry15 Aug 2026, 06:48 UTC1.002 minutes
@DGXC008/1489119 Aug 2026, 06:09 UTC@Benchixiuche168/6350 · this entry19 Aug 2026, 06:09 UTC1.00under a minute
@Benchixiuche168/6362 · this entry22 Aug 2026, 11:13 UTC@DGXC008/1494622 Aug 2026, 11:14 UTC1.0072 seconds
@DGXC008/1501525 Aug 2026, 08:59 UTC@Benchixiuche168/6376 · this entry25 Aug 2026, 08:59 UTC1.00under a minute
@DGXC008/1619930 Sept 2026, 10:07 UTC@Benchixiuche168/6643 · this entry30 Sept 2026, 10:08 UTC1.00under a minute
@Benchixiuche168/6773 · this entry15 Oct 2026, 11:41 UTC@DGXC008/1672915 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
@DGXC00839 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (26–13)

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. 13 of the 13 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 443 comparable posts for this entry, running 31 July 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 key 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

28,86730,05629,461.530,0067 August 202611 November 2026
65 measurements spanning 96 days, net +1,129. 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 28,689–30,234 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 11:4830,006+42
9 Nov 2026, 17:1029,964+20
8 Nov 2026, 05:5729,944-112
7 Nov 2026, 03:2630,056+8
6 Nov 2026, 05:5030,048+93
5 Nov 2026, 07:4929,955+49
4 Nov 2026, 05:2729,906+37
3 Nov 2026, 02:5829,869+40
2 Nov 2026, 00:3529,829-75
1 Nov 2026, 00:1029,904-1
31 Oct 2026, 01:2729,905+7
29 Oct 2026, 23:1629,898+85
28 Oct 2026, 23:0729,813+17
27 Oct 2026, 21:4729,796+18
26 Oct 2026, 21:2529,778+17
25 Oct 2026, 22:0629,761+9
24 Oct 2026, 19:5729,752+23
23 Oct 2026, 17:1529,729+13
22 Oct 2026, 15:3929,716+11
21 Oct 2026, 11:0629,705first reading

Engagement

475 posts held, back to 31 July 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 169 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.64%
avg views ÷ 30,006 subscribers
Avg views / post
791
161 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
161
of 475 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 held475 (31 July 2026 – 12 November 2026)
Views total127,350
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 01:52 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
77
Videos
7
Links
629

Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
2m 24s
Average length
10s

Measured directly from 15 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 161 posts held from the last 30 days (1.24%) 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, 15:19 UTC290 viewsread 13 November 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:望仔 上课时间:26.10.11 老师花名:丽丽老师 位置坐标:#深圳罗湖 #深圳福田 上课花费:800 颜值身材:熟女,丰满 服务内容:抓龙筋,前后夹击榨精,女王调教 体验细节:朋友推荐的,见到姐姐本人比照片还要年轻,身材是真好,该有的都有,特别xiong好大,服务也非常好,整个过程配合很好,最后xiong推出,超赞👍🏻 优点缺点:完美,无可挑剔 联系方式:@szam888 推荐程度:⭐⭐⭐⭐⭐(一星/很差,二星/差,三星/正常,四星/推荐,五星/强烈推荐,必返食) 〖友情提醒〗:报告仅供参考,请理性选择,不要对号入座。 提交报告联系: @BCXC168_bot(备注:提交报告需提供聊天记录,收款记录 等

12 Nov 2026, 06:46 UTC628 viewsread 13 November 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:三叔教 上课时间:11.12 老师花名:柳如烟 位置坐标:#深圳龙华 上课花费:700p 颜值身材:棒棒哒 服务内容:课表 出击体验:出差到深圳在无意间看到老师很有那种韵味,这欲望控制不住,于是马上联系老师留位,到了课室环境非常好,老师身材也不错,两个大球挺在前面,半露的,白白嫩嫩的。服务态度很好,洗完躺着享受老师的服务,赤裸裸的趴着给我口,奈子很Q弹。摸到老师的下面很湿润了快受不了了,让老师来个观音坐莲,里面好紧,好热直接顶到老师的子宫,开始由慢到快的扭动着大屁股。我都快憋不住了,赶紧换姿势,大力抽插老师水还真很多。一边抽插,一边吃奶,老师紧紧抱着我爽死了。控制不住缴械,休息期间一起聊聊天,差不多之后就二次操小妹妹,事后也不催,临走时还物抱亲亲了,非常棒的出击体验,有时间还会来 优点缺点:服务态度好 联系方式:liuruyan68 推…

11 Nov 2026, 13:30 UTC881 viewsread 13 November 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:孤独者 上课时间:11.11 老师花名:雅菲 位置坐标:#南山 上课花费:1300p 颜值身材:颜值高 嫩妹 服务内容:都有 出击体验:见面第一眼,是个很清纯的妹妹,脸上没有太多妆容,颜值妥妥的。简单聊了几句,有陪浴,脱下衣服,皮肤白皙很嫩,没有纹身,身材很好,个子很高,有胸有屁股,来到床上,服务很舒服,口的也算可以,很轻,生怕弄疼二弟,私处进入后包裹感不错,传教士姿势腿特别软,直接紧贴身体。女上也不错、上下摇的频率和幅度其实都可以。想尝试侧入,妹妹也非常的配合,最后换到妹妹喜欢的传教士努力冲刺出货。整个过程中呻吟声不断,很真实 不做作!很满意的一次出击。 优点缺点:很满意 没找到缺点 联系方式:@gggg33414 推荐程度:⭐⭐⭐⭐⭐(一星/很差,二星/差,三星/正常,四星/推荐,五星/强烈推荐,必返食) 〖友情提醒〗:报告仅供参考…

11 Nov 2026, 12:06 UTC767 viewsread 13 November 2026
Photo

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11 Nov 2026, 06:47 UTC791 viewsread 13 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

11 Nov 2026, 06:15 UTC682 viewsread 13 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_7423958963

11 Nov 2026, 06:15 UTC726 viewsread 13 November 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:偷吃的鱼 上课时间:11.11 老师花名:安妮 位置坐标:#南山 上课花费:1200 颜值身材:大胸,有韵味,皮肤滑 服务内容:鸳鸯浴,丝袜,69,口交 出击体验:来了老师很热情❤️‍🔥,课室环境不错,很干净,老师帮我脱衣洗浴,来到床边,又帮忙擦干脚,可以说服务非常的细致到位。两个超大的胸是我见过最大漂亮的乳房,乳胶特别好软软的舒服,口活超级厉害可以说真是无敌厉害👍然后直接给我口起飞了,写报告的时候我都有点迷糊状态。还在回味无穷呢,下面很紧,水💦很多,老师爱笑很会说话,很有亲和力,不敷衍不催时间,必须推荐!!下次必须二刷,三刷!!…… 优点缺点:服务到位,口活超好,下面紧,不敷衍,不催时间, 联系方式:@Annie_6666 推荐程度:⭐⭐⭐⭐⭐(一星/很差,二星/差,三星/正常,四星/推荐,五星/强烈推荐,必返食) 〖友情提醒〗:报告…

10 Nov 2026, 11:33 UTC≈1,040 viewsread 13 November 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:SK 上课时间:11月10日 老师花名:柚子 位置坐标:#南山 上课花费:700p 颜值身材:纤纤玉手小蛮腰 服务内容:课表 出击体验: 直接进入主体,来到浴室,她把水温调好,拉我进花洒下。泡沫从我的肩膀滑到腰腹,她动作很慢,很仔细,每一寸都洗得干净。我也帮她搓洗,手掌贴着她湿滑的皮肤一路往下,她只是微微侧身,任我碰。擦干后她跪下来。口腔温热,有点生涩,牙齿偶尔碰到就马上调整,用舌头认真地包裹、吞吐。不熟练,却很耐心。我把她按在床上,进入时她明显绷紧,刚顶进去就皱眉痛吟,很紧,我停住,她却咬着下唇点头,示意继续。每深入一寸她都低低抽气,手指抠进我的背,却始终没有叫停。她把脸埋在我肩窝,牙齿咬得死死的,一声声忍着被填满的疼。我开始传教士抽送。她一直在痛,呼吸碎成一段一段,却咬牙承受到底。123拔出来时,洞口有很多白浆,水顺着大腿往下淌。 …

9 Nov 2026, 20:09 UTC≈1,150 viewsread 13 November 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:小蜜蜂 上课时间:11.9 老师花名:筱晨 位置坐标:#深圳#南山 上课花费:1300p 颜值身材:小巧玲珑 服务内容:课表 出击体验:本人超性感,高跟鞋👠配丝袜性感情趣,真人感觉更有魅力,与照片相比还是本人更好看 更迷人,把小弟弟顶的不要不要的,女人的诱惑,交完水费,老师主动陪洗,不冷场一直在带动气氛,情绪价值高👍帮忙擦干很仔细,态度极好,一到床上老师把我压在底下亲了我脸一下然后用妩媚的眼神看着我,感觉太好了,比家里的不知道爽多了,然后从脖子亲到耳朵,乳头,好痒又好舒服,都给我整害羞了,谁懂啊 人麻了 卧槽爽啊爽啊,再缓缓到我的二弟 邦邦硬,开始69,简直是爽死了,老师是各种挑逗没停过😳二弟是被老师四面八方攻击,幸好及时叫停老师才短暂保持实力,口活真的很好,不仅含得很深而且吸力很足包裹感很强,还懂得怎么刺激你的敏感部位,带上小雨伞,老…

9 Nov 2026, 11:29 UTC≈1,450 viewsread 13 November 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:Lucas 上课时间:11月7号 老师花名:沐惋 位置坐标:#福田 上课花费:980 颜值身材:人照8分相似,170大高个,大长腿,熊大腰细 服务内容:课表有 出击体验:已经反食好多次了,今天周六,刚好有空就约好时间到达楼下,老师给了二维码畅通上楼,进门寒暄了下,老师就帮忙脱衣服,认真的帮我洗澡,还含热水给我弄了水中潇,很舒服,到了床上老师就开始做服务,灵活的小舌把人舔的酥酥麻麻的,到处游游走口的很好,然后受不了就先来了一发,前后操盘,最后趴着出货休息了一会儿,老师又开始做服务,这服务态度基本上是出击这么多老师的天花板了吧,正反面都做完服务后,让老师女上,然后就正面反面趴着运动,最后搞得两人一身汗,第二次终于是也弄出来了,休息了一会抽根烟,洗完澡走人! 优点缺点:态度好,服务好,配合也好 联系方式:@fei02Z 推荐程度:⭐⭐⭐⭐⭐(…

9 Nov 2026, 03:24 UTC≈1,160 viewsread 13 November 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:Wxing 上课时间:11/8 老师花名:~小布丁 位置坐标:#南山 上课花费:1300/p 颜值身材:好看,身材好 服务内容:课表 出击体验:提前约的课,开门后房间整洁,看得出来老师很爱干净的那种,一头长发人照一致,老师很热情递了瓶水,要求老师配上黑丝,真有哪味了,洗完澡出边聊天边用手抚摸老师大腿,顺势直上发现老师穿的开档丝袜,下面已经稀里哗啦,果断躺下,老师开始服务,口活真实没的说,没有齿感,服务一半就忍不住了,让老师上来前后臀推,老师技术很好,老师一口含住二弟,整体来说服务非常棒 优点缺点:活好 联系方式:@Djbuding1 推荐程度:⭐⭐⭐⭐⭐(一星/很差,二星/差,三星/正常,四星/推荐,五星/强烈推荐,必返食) 〖友情提醒〗:报告仅供参考,请理性选择,不要对号入座。 提交报告联系: @BCXC168_bot(备注:提交…

8 Nov 2026, 08:49 UTC≈1,270 viewsread 13 November 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名: 567da 上课时间:11.8 老师花名:Baby 位置坐标:#深圳#宝安 上课花费:p800 颜值身材:课表 服务内容:课表 颜值身材:人照一致 服务内容:陪浴 舔胸 69 出击体验:最近压力太大,想释放一下,闲来无事群里冲浪,偶然刷到baby老师,突然感觉内心生出了某种悸动,遂果断出击。 遥控上楼以后看到老湿后。上交完茶费,然后一起洗澡,,老湿服务技能点满,态度温柔,在陪浴过程中已经梆硬, 洗完上床,等待老湿洗完,就躺下开始享受全自动服务。指滑,胸推,69服务内容和课表一致,老湿灵活的小舌头在我身上不断游走,令人神魂颠倒,欲罢不能。 服务完毕之后,给我戴上套套,示意我躺下,用右手扶着慢慢的坐了下来,开始了上下骑马摇,女上起手进入十分紧致,有一层勒感,能感觉到充足的水分,包裹感十足。一种被体温烘烤过的、独属于她的味道。这种“暖香…

Showing the 12 most recent of 475 posts we hold for @Benchixiuche168. 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

@Benchixiuche168 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
31 August 2026
Most recent edit
31 August 2026

Posts recorded as deleted after publishing

We recorded 8 posts on @Benchixiuche168 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
23 August 2026
Most recent seen missing
5 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
5

Forward network

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 26 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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

“深圳奔驰修车大队报告榜” (@Benchixiuche168), 30,006 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/Benchixiuche168.

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.