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Channel

深圳奔驰修车大队报告榜

@Benchixiuche168

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

29,064subscribers

+187 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
CreatedBetween 1 May 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live8 September 2026
Measurements held29
Confirmed unchanged1 time, most recently 8 September 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 why it has no browse page of its own yet.

Growth

28,86729,44729,1577 August 2026 — 28,877 subscribers7 August 2026 — 28,877 subscribers8 August 2026 — 28,875 subscribers9 August 2026 — 28,886 subscribers10 August 2026 — 28,880 subscribers11 August 2026 — 28,867 subscribers11 August 2026 — 28,876 subscribers12 August 2026 — 28,894 subscribers14 August 2026 — 28,883 subscribers15 August 2026 — 28,914 subscribers16 August 2026 — 28,917 subscribers17 August 2026 — 28,935 subscribers18 August 2026 — 28,960 subscribers19 August 2026 — 28,986 subscribers21 August 2026 — 29,079 subscribers22 August 2026 — 29,083 subscribers24 August 2026 — 29,167 subscribers25 August 2026 — 29,112 subscribers26 August 2026 — 29,090 subscribers27 August 2026 — 29,120 subscribers28 August 2026 — 29,142 subscribers29 August 2026 — 29,154 subscribers30 August 2026 — 29,164 subscribers31 August 2026 — 29,170 subscribers1 September 2026 — 29,187 subscribers2 September 2026 — 29,299 subscribers3 September 2026 — 29,377 subscribers5 September 2026 — 29,447 subscribers8 September 2026 — 29,064 subscribers29,0647 August 20268 September 2026
29 measurements spanning 32 days, net +187. 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 28,780–29,534 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)SubscribersChange
8 Sept 2026, 16:1829,064-383
5 Sept 2026, 06:1929,447+70
3 Sept 2026, 13:1929,377+78
2 Sept 2026, 06:2229,299+112
1 Sept 2026, 06:2729,187+17
31 Aug 2026, 04:5529,170+6
30 Aug 2026, 02:4829,164+10
29 Aug 2026, 00:1629,154+12
28 Aug 2026, 01:3429,142+22
27 Aug 2026, 04:3329,120+30
26 Aug 2026, 03:4429,090-22
25 Aug 2026, 05:4829,112-55
24 Aug 2026, 03:2329,167+84
22 Aug 2026, 12:3229,083+4
21 Aug 2026, 00:2529,079+93
19 Aug 2026, 22:5628,986+26
18 Aug 2026, 20:4328,960+25
17 Aug 2026, 20:0428,935+18
16 Aug 2026, 19:5728,917+3
15 Aug 2026, 10:2328,914first reading

Engagement

143 posts held, back to 31 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 61 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.28%
avg views ÷ 29,064 subscribers
Avg views / post
1,240
109 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
109
of 143 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 6 September 2026
Posts held143 (31 July 20266 September 2026)
Views total135,549
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Sept 2026, 01:37 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
19s
Average length
6s

Measured directly from 3 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

6 Sept 2026, 11:08 UTC521 viewsread 7 September 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:鲨鱼辣椒 上课时间:9.6 老师花名:小草 位置坐标:#深圳 宝安 上课花费:800 颜值身材:9 服务内容:洗吹做 优点缺点: 小草总体来说还是非常的嫩,乳头很小,而且还是一线天,情绪价值给得很到位,颜值和真人有8分像,给我的感觉像是一个邻家妹妹,屁股非常的翘后入她的时候感觉很给力,基本上持续的抽插十分钟左右也不会催人,最最可贵的一点是没有一些老师身上的那种风尘气,基本等你全套流程服务结束之后,还会拉着你聊聊家常,拥抱一下情绪价值给的非常到位 联系方式: @Ciiooio 推荐程度:⭐⭐⭐⭐⭐ 〖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)

6 Sept 2026, 11:04 UTC438 viewsread 7 September 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:jayk 上课时间:9/6 老师花名:小白菜 位置坐标:南山 上课花费:3698 颜值身材:168/26 服务内容:水床泡泡浴 出击体验:老师经常运动,环境非常不错,身材极佳,天然大胸,一点不下垂,下面是小馒头,摸起来非常舒服,而且真的是天赋异禀,一摸全是水,69直接喷一脸。课表上内容也是全部认真做到位,一点不马虎,2课120分钟做满。第一课先后入,再换到女上,在老师的叫床中出货,水床也是歪歪得瑟太爽,感觉回到东莞20年前了刺激,第二课个人原因迟迟无法出货,换多个姿势,老师也是完全配合,最后我都说算了,老师还坚持帮手打很久。体验完美~必须返程 优点缺点:服务材很好可很棒 联系方式:@xiaobaicai1689 推荐程度:⭐⭐⭐⭐⭐(一星/很差,二星/差,三星/正常,四星/推荐,五星5强烈推荐,必返食) 〖友情提醒〗:报告仅供参考,请理

6 Sept 2026, 09:51 UTC435 viewsread 7 September 2026
Photo

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6 Sept 2026, 09:51 UTC409 viewsread 7 September 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:tg 上课时间:9月 老师花名:素颜 位置坐标:#深圳 南山 上课花费:400 颜值身材:清纯少女 服务内容:课表一致 出击体验:课室环境好 就在地铁楼上 舌吻 舔鲍鱼 魔棒 骚穴粉嫩水多 青春漂亮 香香的 服务态度好 很配合 联系方式:@suyan06 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)

6 Sept 2026, 07:16 UTC468 viewsread 7 September 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:fun 上课时间:9.6 老师花名:#冰冰 位置坐标:深圳#南山 上课花费:1500p 颜值身材:人照一致 服务内容:课表里都有 出击体验:老师没有一点儿风尘味,笑起来很甜,说话也甜甜的,我觉得就是那种学生情人的感觉,好像回到学生时代一样,我是不喜欢胸部大的吓人的那种,老师的胸部刚好是我喜欢的类型,粉嫩,刚刚好,有感受到老师温热的嘴巴,整根被含的湿湿的,很喜欢这种感觉,满满的征服,很喜欢老师婀娜多姿的腰身,第一次后入很快就结束了,是在老师的娇喘声下成功发射,很棒的体验。 优点缺点:温柔体贴 联系方式:@bingbingm05 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

6 Sept 2026, 06:20 UTC484 viewsread 7 September 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:🤣🤣🤣kkkzbu 上课时间:2026.9.5号 老师花名:龙华月月 位置坐标:#龙华清湖 上课花费:600 颜值身材:腰细屁股大 服务内容:帮洗,水中潇,调情,丝袜制服,吹,做 出击体验:老师服务很好,进门就很贴心的递来水解渴,坐了一会就开始洗澡,老师给洗的很认真,洗的时候就开始服务,老师的舌头很灵活,很舒服,一会就受不了了,然后转战床上,老师主动上位,超爽,然后换传统姿势,老师声音很好听,叫着听着很舒服,大概几分钟就受不了了,缴械投降,做完也很细心帮洗,这次很满意,下次还会再来。 优点缺点:口技到位,服务非常好,温柔体贴不催人 联系方式:@yueliang520888 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:

6 Sept 2026, 05:26 UTC493 viewsread 7 September 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:OK吗! 上课时间:9.5 老师花名:小雨 位置坐标:#深圳 宝安 上课花费:15pp 颜值身材:9.5 服务内容:作为服务系狼友,我操盘服务小雨老师 。眼前的女人真是貌美如花,此刻对我而言绝对是至高的享受,那双胸柔软且粉嫩的胸堪称世间最美的艺术品。神秘三角洲干净无味,舔的时候小雨老师也会贴心提醒敏感点在哪里。在我灵活的小舌头下,小雨老师极其投入且很享受,让我完美度过了这段短暂而美妙的光阴。正如她所说,出来玩最重要的就是开心。她热情主动、积极配合、极度投入、舌饱舌满、互动感拉满,硬件上更是肤白貌美、胸柔软、面容精致,兼具魅惑与小俏皮。小雨老师带来的惊喜远超我的预期,实在令人惊艳与赞叹!颜值、服务、态度全部顶级,极度推荐!🩵 优点缺点: 事后有精油按摩 联系方式: @abc885858 推荐程度:⭐⭐⭐⭐⭐(一星/很差,二星/差,三

5 Sept 2026, 14:57 UTC839 viewsread 7 September 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:老顾客 上课时间:9.4 老师花名:小草 位置坐标:#深圳 宝安 上课花费:1500pp 颜值身材:9 服务内容:老师很热情开门迎接,洗完上床老师接着服务真的爽,全程享受,身材真的骚,口活服务坚持不住就戴t让老师坐上来,老师跟着我的节奏上下真的忍不了一点,换了好几个姿势,深入浅出,老师一声声娇喘,奶子直颤抖,应该被我整高潮了,好爽,老师服务口活都非常棒,性价比真的高。 优点缺点: 缺点城中村,优点离地铁50米 联系方式: @Ciiooio 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)

5 Sept 2026, 13:41 UTC769 viewsread 7 September 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:屮😈屮 上课时间:2026.9.5 老师花名:龙华月月 位置坐标:#龙华#清湖 上课花费:600 颜值身材:9分 服务内容:陪浴,水中潇,调情,吹,做 出击体验:周末休息无聊闲逛看到了月月老师,是我的菜,临时约了老师, 发了位置看离的不远就直接出击了,跟照片一制,本人看着可可爱爱的,在床上又是不一样的感受,说话很温柔,进门先帮你换鞋坐着聊了一会天,老师陪浴全程帮洗,洗完又温柔擦拭,很认真不敷衍,来到床上趴在身上开始舔弄,老师口的也很棒,舔的非常仔细,中间过程省略……最后也是全程帮洗帮擦,体验感很不错,下次再来。 优点缺点:配合好,服务态度好 联系方式:@yueliang520888 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

5 Sept 2026, 11:29 UTC803 viewsread 7 September 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:cruset 上课时间:9.4 老师花名:南山雅萱 位置坐标:#南山 上课花费:1200P 颜值身材:漂亮模特身材,御 姐大长腿 服务内容:陪聊很有情绪价值,陪浴,调情,爱爱 出击体验:严重的颜值控晚期,开门看到后无法自拔,立刻进门,御姐气质还有一双大长腿简直捡到宝了,完美的模特身材比例,御姐很健谈完全不高冷,光是提供的情绪价值就值了,也不催促,洗完澡后,模特的身材搭配上性感的衣服和丝袜,让我欲摆不能,前戏已让我不能自拔,我迫不及待地想要进入她的身体,把我的爱给她,我们配合默契,满足我各种姿势,各种回应我的爱,我们共同进入了爱的高潮,此生非常难得的体验,已二刷。 优点缺点:完美 联系方式:@shan170 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

5 Sept 2026, 09:20 UTC786 viewsread 7 September 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:無 上课时间:9.2 老师花名:小沫 位置坐标:#南山 上课花费:1200 颜值身材:颜值好 胸很大很软 皮肤很滑 服务内容:抓龙筋 出击体验:很好 被按住吃奶子爽死了 手法酥麻,过程中还会一直问你舒不舒服 中间爽飞 后面一直出不来老师也很有耐心 最后成功出水,整个过程体验很赞 老师温柔下次还来 联系方式:@xiaoixo 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)

5 Sept 2026, 09:19 UTC752 viewsread 7 September 2026

深圳奔驰修车大队报告反馈 https://t.me/Benchixiuche168 验证留名:二少 上课时间:9:5 老师花名:猫姐 位置坐标:#固戍 上课花费:1000pp送推油按摩刮痧拔罐 颜值身材:人照一致,真人更好有韵味,胸巨大,娇小精致型 服务内容:鸳鸯浴,AB面,69,深喉,口爆,乳胶,爱爱,推油按摩,刮痧拔罐,全套 出击体验:关注姐姐很久了,每次约她都约不上,因为猫姐服务好,生意太好了,所以我约了很多次,每次都说没有位了,这次我提前几个小时给猫姐转了口令红包🧧,预约了两课,姐姐忙完才回我信息,准时到老师到了课室、地方好找,方便停车,小区环境很好👍,家里很干净卫生,看见老师身材完美很棒、本人比照片漂亮、有韵味,老师很热情主动的打招呼,帮我拿拖鞋,倒茶喝,猫姐穿性感的裙很诱惑、露着超大的胸和乳沟,我提前准备好的现金给了费用、然后猫姐陪我一起去洗浴、洗的很干净细致,我的弟弟很硬很硬猫姐就给我水中口吹箫、舒服极了、洗完从头

Showing the 12 most recent of 143 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

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 18 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.

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 8 September 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), 29,064 subscribers as measured 8 September 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.