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Channel

修车报告赏析(北京)

@bjxiuchebaogaoshangxi

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

7,368subscribers

+411 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001617133446
TypeChannel
Username@bjxiuchebaogaoshangxi
Description聊天群: @bj_ziyuan 导航群: @beijingziyuandaohang ❤️一键关注所有频道: https://t.me/addlist/IJdI688YqkUxMmQ1
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live6 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/bjxiuchebaogaoshangxi

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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.

Growth

6,9577,3687,162.58 August 2026 — 6,957 subscribers8 August 2026 — 6,957 subscribers11 August 2026 — 6,974 subscribers15 August 2026 — 6,978 subscribers18 August 2026 — 6,993 subscribers21 August 2026 — 7,021 subscribers25 August 2026 — 7,025 subscribers28 August 2026 — 7,042 subscribers30 August 2026 — 7,057 subscribers3 September 2026 — 7,079 subscribers8 September 2026 — 7,111 subscribers12 September 2026 — 7,128 subscribers16 September 2026 — 7,151 subscribers30 September 2026 — 7,205 subscribers7 October 2026 — 7,237 subscribers13 October 2026 — 7,282 subscribers16 October 2026 — 7,314 subscribers19 October 2026 — 7,309 subscribers23 October 2026 — 7,311 subscribers26 October 2026 — 7,353 subscribers29 October 2026 — 7,364 subscribers31 October 2026 — 7,357 subscribers3 November 2026 — 7,367 subscribers6 November 2026 — 7,368 subscribers8 August 20266 November 2026
24 measurements spanning 90 days, net +411. 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 6,895–7,430 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
6 Nov 2026, 14:197,368+1
3 Nov 2026, 18:207,367+10
31 Oct 2026, 23:287,357-7
29 Oct 2026, 09:447,364+11
26 Oct 2026, 11:217,353+42
23 Oct 2026, 05:097,311+2
19 Oct 2026, 23:557,309-5
16 Oct 2026, 17:097,314+32
13 Oct 2026, 10:057,282+45
7 Oct 2026, 04:217,237+32
30 Sept 2026, 04:187,205+54
16 Sept 2026, 06:197,151+23
12 Sept 2026, 12:377,128+17
8 Sept 2026, 20:417,111+32
3 Sept 2026, 16:377,079+22
30 Aug 2026, 22:497,057+15
28 Aug 2026, 07:137,042+17
25 Aug 2026, 03:437,025+4
21 Aug 2026, 16:197,021+28
18 Aug 2026, 04:226,993first reading

Engagement

215 posts held, back to 5 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 21 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.737%
avg views ÷ 7,368 subscribers
Avg views / post
54.3
96 posts measured
Reaction rate
0.89%
reactions ÷ views · ER floor
Posts in window
96
of 215 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. It is computed over the 3 of 96 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 9 November 2026
Posts held215 (5 August 2026 – 9 November 2026)
Views total5,213
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Nov 2026, 14:16 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

Links
≈6,740

Lifetime counters from Telegram’s own channel header, read 9 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.

Reaction mix

7 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 85.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤685.7%
🤔114.3%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 10 of the 215 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 215 most recent posts we hold, published 5 August 2026 to 9 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 96 posts held from the last 30 days (0%) 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).

9 Nov 2026, 11:26 UTC15 viewsread 9 November 2026

报告编号:6902 编号:605 草药精 地点:朝阳 大悦城 价格:1500p 服务:全套服务 评分:5星 评价:第一次cj草药精老师,看报告都说kh很好特来体验,确实绝活差点没忍住。老师童颜巨乳皮肤很滑让人爱不释手,镜前后入看着老师的身材实在太刺激了又紧还没体验爽就123了下次争取这个姿势多体验几个回合 【交报告】【聊天群】

9 Nov 2026, 11:25 UTC17 viewsread 9 November 2026

报告编号:6901 编号:1344 陈雪 地点:朝阳 亚运村 价格:1200p 服务:全套服务 评分:5星 评价:陈雪p12档的真不错,仔细看了看,22/3岁,身材真好,胸c吧,翘臀,陪浴俩人都打沐浴露互相蹭,69,毒龙,舌吻也很通透,该有的都有,两个姿势出货,完事还给个回马枪,舒服,可惜弟弟起不来了,优点,小区门口好停车,进楼无门禁,情趣价值绝对的高,去了绝对不后悔 【交报告】【聊天群】

9 Nov 2026, 11:24 UTC17 viewsread 9 November 2026

报告编号:6900 编号:1113 佳禾 地点:朝阳 亚运村 价格:1400p 服务:全套服务 评分:5星 评价:一进门笑脸相迎,很有邻家妹妹的感觉,本人照片更好看,交完💦费佳禾老师主动带过去洗澡,洗完澡迫不及待就去床上了,过程就不多说了....颜值身材性格服务都挺好的,佳禾绝对算得上是一个完美的炮架,值得一试 【交报告】【聊天群】

9 Nov 2026, 11:24 UTC10 viewsread 9 November 2026

报告编号:6899 编号:1535 小鱼 地点:朝阳 双井 价格:2000p 服务:简单服务 评分:5星 评价:刚刚来找的小鱼 真人真照一点不虚 嫩妹一枚性格非常好 不像刚见面的 对i人来讲很舒适 嘴唇也软 瘦瘦的 胸一手能握住 口活也舒服 服务里面的都有 也不催 总体来讲2k里面算顶的了 喜瘦喜颜必冲 【交报告】【聊天群】

9 Nov 2026, 11:23 UTC13 viewsread 9 November 2026

报告编号:6898 编号:1852 胡青青 地点:丰台 马家堡 价格:1200p 服务:简单服务 评分:4.6星 评价:被头像电到了,于是 冲!见面一看,确实挺嫩的,还很瘦,颜值跟频道一样优秀,只是当面显得有些羞涩,还是软萌甜妹,声音也是软软糯糯的,笑起来也很甜,斯斯文文。没有一起洗,我喜欢自己洗得干净利落上床做服务,技能不像那些老练的老师,但很乖巧做得很小心,教她也会认真听话(学不学的会又是另外一回事了),挺紧的,很可爱,腰很细,腿很长,抱着操作感觉相当不错,叫声好听,反应娇羞,熟了之后就是一个活泼开朗的小姐姐,总体来说这是清纯嫩妹款,需要你自行发挥。 【交报告】【聊天群】

9 Nov 2026, 11:23 UTC8 viewsread 9 November 2026

报告编号:6897 编号:1220 绵绵 地点:朝阳 双井 价格:1500p 服务:全套服务 评分:5星 评价:写个绵绵的作业。一进门就感受到绵绵的温柔体贴,整个过程努力不敷衍,聊天也很愉快。第一次见人照完全一致,很对我的胃口,身材也很好。服务全套也很耐心,最后也是很快就出货投降,总之是很棒的一次cj体验 【交报告】【聊天群】

9 Nov 2026, 11:22 UTC8 viewsread 9 November 2026

报告编号:6896 编号:1249 miki 地点:丰台 纪家庙 价格:1000p 服务:全套服务 评分:5星 评价:miki回来了,见了很多次了,见面就是一个大拥抱,穿的依然非常清爽,没化妆依然非常耐看,拥抱的呆了一会儿,抓紧洗澡,浴室小激情,大NZ在身上一通蹭,浴室口,爽!进入工作室,先B面大漫游,A面,因为健身减脂,硬度一般,老师耐心口活,无敌的舒服,换了两个姿势,15分钟结束,还有回马枪,事后按摩。一套流程下来,通透至极!闭眼冲吧。 【交报告】【聊天群】

9 Nov 2026, 11:21 UTC8 viewsread 9 November 2026

报告编号:6895 编号:189 猫儿 地点:朝阳 双井 价格:800p 服务:全套服务 评分:5星 评价:今天出击了猫儿@Maoer5486200,老师很年轻和照片无差别,gzs非常隐蔽楼层几乎遇不到别的人。今天稍微迟到了一点,老师后面也排满了所以比较仓促,但是该有的服务一个没落下,总体体验还是不错的算是800档里天花板了。 【交报告】【聊天群】

9 Nov 2026, 11:20 UTC9 viewsread 9 November 2026

报告编号:6894 编号:1841 梦娜 地点:朝阳 亚运村 价格:2000pp 服务:简单服务 评分:5星 评价:冲着梦娜老师的身材和颜值来的,地方十分好找也很方便。进门看见老师立马被她的颜值和身材吸引,果断加了1p。付完后就一起洗澡,全程服务态度好,课表有的服务都做了,一对大奶子更是爱不释手,又嫩又软。口活也十分了得,没几下就顶不住要带套开做,小穴十分的紧,做起来很舒服,一对奶子在面前猛晃也十分的抓眼,没几下第一次就缴械投降。过程当中像小女朋友一样,配合度高,第二回合挺持久老师也没有不耐烦,还会再来。 【交报告】【聊天群】

9 Nov 2026, 11:20 UTC9 viewsread 9 November 2026

报告编号:6893 编号:140 小色魔 地点:朝阳 双井 价格:1500p 服务:中项 评分:5星 评价:小色魔老师的美名早有耳闻。今天终于是约上了。怀着忐忑的心来到老师工作室。我来早了十五分钟,老师也没让我罚站。老师的小区没门禁,进出自由。老师安全意识很强,指引也很清晰。一进门就惊呆了,老师身材爆炸,前凸后翘,腰腹线条极美,没有赘肉。这在主打服务的老师里面是很难得的。老师是典型的小脸美人,面容十分精致漂亮。我和我的兄弟都震惊了。简单洗浴之后开始服务。老师的服务可以说是又全面又细致。色魔老师主打舌功,从上到下面面俱到,每一处的力度和速度都刚刚好。还没做完一套我就硬的受不了了。赶紧让老师给我出了一次。老师的口活很讲究,由于我的兄弟太过雄伟,老师的樱桃小口吃不下。索性连口带手双管齐下。上面含住我的龟头,用小香舌包裹缠绕,就像盘珠子一样。下面两只手大力撸动。不到一分钟我就缴械投降了。中场休息一边享受老师的肌肉按摩一边和老师谈天说地,…

9 Nov 2026, 11:19 UTC11 viewsread 9 November 2026

报告编号:6892 编号:1252 梁嘉欣 地点:朝阳 朝阳公园 价格:2000p 服务:全套服务 评分:5星 评价:cj了梁嘉欣,空姐这身材服务非常满意,真人比照片好看,身材高挑苗条但是又胸很大,屁股也大,喜欢身材好胸大的可以选择。老师柔韧性很好,可以很配合的做各种动作,主要是一字马,顶的特别深,衣柜里准备了多套情趣服装可以选择,主动而且听话,整个过程都非常舒服。 【交报告】【聊天群】

9 Nov 2026, 11:18 UTC13 viewsread 9 November 2026

报告编号:6891 编号:1843 幼幼 地点:朝阳 望京 价格:800p 服务:简单服务 评分:5星 评价:下班后联系了Y幼幼,之前约了好几次都没排上,今天正好有空,于是马上约好时间出击。妹妹安全意识不错,让我也安心不少,到了楼下遥控上楼,进门口一看是我喜欢的类型,身材不错,屋子也收拾得很干净,帮我冲洗完就携手进屋开始缠绵,妹妹的口活太棒了,没几下我就有感觉了,我赶紧要求切换到69模式,妹妹的鲍鱼很好吃,很鲜美,没异味,没舔几下我就感觉高潮,赶紧叫暂停穿雨衣,接下来XXOO十几回合后酣畅出货,休息片刻,妹妹帮忙处理和冲洗。妹妹是我喜欢的类型,温柔不做作,有涵养,爱干净,我准备后边长期多刷。 【交报告】【聊天群】

Showing the 12 most recent of 215 posts we hold for @bjxiuchebaogaoshangxi. 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.

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 5 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“修车报告赏析(北京)” (@bjxiuchebaogaoshangxi), 7,368 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/bjxiuchebaogaoshangxi.

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.