活动1:凡是在咱们家消费6次后晋升咱们家超级会员,加入超级会员群,原价5k/p的全部按照4k起。 原价3k/p的按照2500。会员群另外每月都会抽取赠送福利,福利是每月都抽取3名会员赠送3k/p的体验活动。感谢大家一直以来的支持。 活动2: 拉新活动,每介绍一个靠谱的,成功合作后,可为你累计你的一次同级别的消费,帮你尽早升级咱们家SVIP。 所有大圈3000/p档的2500/p起(SVIP用户2500),5000/p档的价格私信咨询, 全网比价,咨询不亏,本频道的老师都是上海大圈的老师, 担心的话可选定老师, 可指定老师拍视频验证。看上哪个老师 带图咨询 咱们家不作假冒, 不做假冒,不作假冒,大家修车最重要的就是安全,隐私。所以不要暴露自己的信息。最好带现金或U支付,不要留自己的电话,和转账记录和留mm的联系方式给自己带来隐患,mm都属于高危的,现在都是实名的,大家出来玩保护好自己隐私安全, 北京最全大圈资源每日更新进入…

Channel
北京修车大圈资源
@xckxdq_bj
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,147subscribers
-267 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002240394423 |
|---|---|
| Type | Channel |
| Username | @xckxdq_bj |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 1 September 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 1 September 2026 |
| On Telegram | t.me/xckxdq_bj |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Sept 2026, 14:26 | 8,147 | -25 |
| 29 Aug 2026, 23:58 | 8,172 | -31 |
| 27 Aug 2026, 02:56 | 8,203 | -29 |
| 24 Aug 2026, 00:33 | 8,232 | -38 |
| 20 Aug 2026, 11:36 | 8,270 | -43 |
| 17 Aug 2026, 09:43 | 8,313 | -40 |
| 14 Aug 2026, 03:26 | 8,353 | -25 |
| 10 Aug 2026, 23:26 | 8,378 | -36 |
| 7 Aug 2026, 18:41 | 8,414 | no change |
| 7 Aug 2026, 13:16 | 8,414 | first reading |
Engagement
39 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 26 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.558%
- avg views ÷ 8,147 subscribers
- Avg views / post
- 45.5
- 38 posts measured
- Reaction rate
- 0.743%
- reactions ÷ views · ER floor
- Posts in window
- 39
- of 39 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 6 of 38 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 August 2026 |
|---|---|
| Posts held | 39 (5 August 2026 – 28 August 2026) |
| Views total | 1,728 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Aug 2026, 18:18 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
- 1m 48s
- Average length
- 9s
Measured directly from 12 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.
Reaction mix
6 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 83.3% | |
| 👍 | 1 | 16.7% |
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 6 of the 39 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 5 August 2026 to 28 August 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
活动1:凡是在咱们家消费6次后晋升咱们家超级会员,加入超级会员群,原价5k/p的全部按照4k起。 原价3k/p的按照2500。会员群另外每月都会抽取赠送福利,福利是每月都抽取3名会员赠送3k/p的体验活动。感谢大家一直以来的支持。 活动2: 拉新活动,每介绍一个靠谱的,成功合作后,可为你累计你的一次同级别的消费,帮你尽早升级咱们家SVIP。 所有大圈3000/p档的2500/p起(SVIP用户2500),5000/p档的价格私信咨询, 全网比价,咨询不亏,本频道的老师都是上海大圈的老师, 担心的话可选定老师, 可指定老师拍视频验证。看上哪个老师 带图咨询 咱们家不作假冒, 不做假冒,不作假冒,大家修车最重要的就是安全,隐私。所以不要暴露自己的信息。最好带现金或U支付,不要留自己的电话,和转账记录和留mm的联系方式给自己带来隐患,mm都属于高危的,现在都是实名的,大家出来玩保护好自己隐私安全, 北京最全大圈资源每日更新进入…
TG必备搜索引擎,新币搜🔍@xbso @xbso 轻松帮您找到有趣的群、频道、视频、音乐、电影、新闻。 👇👇点击下方按钮,快速搜索👇👇
活动1:凡是在咱们家消费6次后晋升咱们家超级会员,加入超级会员群,原价5k/p的全部按照4k起。 原价3k/p的按照2500。会员群另外每月都会抽取赠送福利,福利是每月都抽取3名会员赠送3k/p的体验活动。感谢大家一直以来的支持。 活动2: 拉新活动,每介绍一个靠谱的,成功合作后,可为你累计你的一次同级别的消费,帮你尽早升级咱们家SVIP。 所有大圈3000/p档的2500/p起(SVIP用户2500),5000/p档的价格私信咨询, 全网比价,咨询不亏,本频道的老师都是上海大圈的老师, 担心的话可选定老师, 可指定老师拍视频验证。看上哪个老师 带图咨询 咱们家不作假冒, 不做假冒,不作假冒,大家修车最重要的就是安全,隐私。所以不要暴露自己的信息。最好带现金或U支付,不要留自己的电话,和转账记录和留mm的联系方式给自己带来隐患,mm都属于高危的,现在都是实名的,大家出来玩保护好自己隐私安全, 北京最全大圈资源每日更新进入…
活动1:凡是在咱们家消费6次后晋升咱们家超级会员,加入超级会员群,原价5k/p的全部按照4k起。 原价3k/p的按照2500。会员群另外每月都会抽取赠送福利,福利是每月都抽取3名会员赠送3k/p的体验活动。感谢大家一直以来的支持。 活动2: 拉新活动,每介绍一个靠谱的,成功合作后,可为你累计你的一次同级别的消费,帮你尽早升级咱们家SVIP。 所有大圈3000/p档的2500/p起(SVIP用户2500),5000/p档的价格私信咨询, 全网比价,咨询不亏,本频道的老师都是上海大圈的老师, 担心的话可选定老师, 可指定老师拍视频验证。看上哪个老师 带图咨询 咱们家不作假冒, 不做假冒,不作假冒,大家修车最重要的就是安全,隐私。所以不要暴露自己的信息。最好带现金或U支付,不要留自己的电话,和转账记录和留mm的联系方式给自己带来隐患,mm都属于高危的,现在都是实名的,大家出来玩保护好自己隐私安全, 北京最全大圈资源每日更新进入…
🎭 西西 位置与车费:#朝阳区 | #大成国际公寓 | 3k 身高:168 cm(高挑优越身段 | 纤细白皙大长腿) 体重:44 kg(88斤极致纤瘦 | 娇柔萝莉体态) 职业背景:07年高中生(刚下💦极品纯兼 | 圈外奶纯新面孔) ⸻ 身形比例:168cm高挑身段结合88斤极致纤瘦,通体冷白皮雪白细腻,上下粉嫩,天然无整(无纹身、不抽烟不喝酒)。在纤细腰身的反差衬托下高耸D罩杯天然饱满傲人美胸,身材白幼纯感十足,极具视觉反差张力。 ⸻ 气质标签:07年校园奶纯少女,JK萝莉控必选。性格温柔乖巧、听话懂事,有素质且不催不事,自带清纯懵懂的校园白月光气场,能提供无微不至的情绪价值。 ⸻ 个人风格定位:168cm 44kg 07年 顶配D杯,北京168奶纯JK萝莉女神。兼具优越长腿视觉与乖巧温柔陪伴的殿堂级天菜。 ⸻ 外部形成优势与服务说明:高品质极品高中生纯兼(手机自拍真实真照,支持指定验证,只接高素质客群…
🎭 李思思 位置与车费:#朝阳区 | #陆翔佳园 | 3k 身高:177 cm(超模级高挑身段 | 细直白皙筷子腿) 体重:45 kg(90斤极致纤瘦 | A4纤细腰身) 职业背景:06年学生佳人(暑假工短期兼职 | 首日兼职圈外新面孔) ⸻ 身形比例:177cm名模惊艳身段结合90斤极致纤瘦,拥有A4腰与细直修长筷子腿的完美比例。通体雪白牛奶肌,白皙滑嫩、三点粉嫩,零整容纯天然(无纹身)。在纤细腰身的反差衬托下高耸C罩杯天然挺拔美胸,线条极度紧致优雅。 ⸻ 气质标签:06年校园清纯佳人,明朗干净、软软糯糯。声音甜美治愈,性格极好懂礼貌。自带初恋白月光般的气场与满满的贴心女友感,情绪价值拉满。 ⸻ 个人风格定位:177cm 45kg 06年 顶配C杯,北京177暑期学霸级超模女神。兼具超模长腿视觉与甜美软糯陪伴的殿堂级天菜。 ⸻ 外部形成优势与服务说明:高品质学生纯兼(仅开暑假,不可错过的极品体验,所见即…
❤1
活动1:凡是在咱们家消费6次后晋升咱们家超级会员,加入超级会员群,原价5k/p的全部按照4k起。 原价3k/p的按照2500。会员群另外每月都会抽取赠送福利,福利是每月都抽取3名会员赠送3k/p的体验活动。感谢大家一直以来的支持。 活动2: 拉新活动,每介绍一个靠谱的,成功合作后,可为你累计你的一次同级别的消费,帮你尽早升级咱们家SVIP。 所有大圈3000/p档的2500/p起(SVIP用户2500),5000/p档的价格私信咨询, 全网比价,咨询不亏,本频道的老师都是上海大圈的老师, 担心的话可选定老师, 可指定老师拍视频验证。看上哪个老师 带图咨询 咱们家不作假冒, 不做假冒,不作假冒,大家修车最重要的就是安全,隐私。所以不要暴露自己的信息。最好带现金或U支付,不要留自己的电话,和转账记录和留mm的联系方式给自己带来隐患,mm都属于高危的,现在都是实名的,大家出来玩保护好自己隐私安全, 北京最全大圈资源每日更新进入…
活动1:凡是在咱们家消费6次后晋升咱们家超级会员,加入超级会员群,原价5k/p的全部按照4k起。 原价3k/p的按照2500。会员群另外每月都会抽取赠送福利,福利是每月都抽取3名会员赠送3k/p的体验活动。感谢大家一直以来的支持。 活动2: 拉新活动,每介绍一个靠谱的,成功合作后,可为你累计你的一次同级别的消费,帮你尽早升级咱们家SVIP。 所有大圈3000/p档的2500/p起(SVIP用户2500),5000/p档的价格私信咨询, 全网比价,咨询不亏,本频道的老师都是上海大圈的老师, 担心的话可选定老师, 可指定老师拍视频验证。看上哪个老师 带图咨询 咱们家不作假冒, 不做假冒,不作假冒,大家修车最重要的就是安全,隐私。所以不要暴露自己的信息。最好带现金或U支付,不要留自己的电话,和转账记录和留mm的联系方式给自己带来隐患,mm都属于高危的,现在都是实名的,大家出来玩保护好自己隐私安全, 北京最全大圈资源每日更新进入…
活动1:凡是在咱们家消费6次后晋升咱们家超级会员,加入超级会员群,原价5k/p的全部按照4k起。 原价3k/p的按照2500。会员群另外每月都会抽取赠送福利,福利是每月都抽取3名会员赠送3k/p的体验活动。感谢大家一直以来的支持。 活动2: 拉新活动,每介绍一个靠谱的,成功合作后,可为你累计你的一次同级别的消费,帮你尽早升级咱们家SVIP。 所有大圈3000/p档的2500/p起(SVIP用户2500),5000/p档的价格私信咨询, 全网比价,咨询不亏,本频道的老师都是上海大圈的老师, 担心的话可选定老师, 可指定老师拍视频验证。看上哪个老师 带图咨询 咱们家不作假冒, 不做假冒,不作假冒,大家修车最重要的就是安全,隐私。所以不要暴露自己的信息。最好带现金或U支付,不要留自己的电话,和转账记录和留mm的联系方式给自己带来隐患,mm都属于高危的,现在都是实名的,大家出来玩保护好自己隐私安全, 北京最全大圈资源每日更新进入…
活动1:凡是在咱们家消费6次后晋升咱们家超级会员,加入超级会员群,原价5k/p的全部按照4k起。 原价3k/p的按照2500。会员群另外每月都会抽取赠送福利,福利是每月都抽取3名会员赠送3k/p的体验活动。感谢大家一直以来的支持。 活动2: 拉新活动,每介绍一个靠谱的,成功合作后,可为你累计你的一次同级别的消费,帮你尽早升级咱们家SVIP。 所有大圈3000/p档的2500/p起(SVIP用户2500),5000/p档的价格私信咨询, 全网比价,咨询不亏,本频道的老师都是上海大圈的老师, 担心的话可选定老师, 可指定老师拍视频验证。看上哪个老师 带图咨询 咱们家不作假冒, 不做假冒,不作假冒,大家修车最重要的就是安全,隐私。所以不要暴露自己的信息。最好带现金或U支付,不要留自己的电话,和转账记录和留mm的联系方式给自己带来隐患,mm都属于高危的,现在都是实名的,大家出来玩保护好自己隐私安全, 北京最全大圈资源每日更新进入…
🎭 北京第一白小纯 位置与车费:#朝阳区 | #5k 身高:170 cm(真实净高 | 完美头身比 | 细长直筷子腿) 体重:42 kg(84斤超低体脂 | 58cm A5腰 | 欧美极品前凸后翘S曲线) 职业背景:06年985大学在读生(非职业极品纯兼 | 可看学生证及学信网验证) ⸻ 身形比例:170cm名模高挑身段结合42kg极度纤瘦,拥有58cm纤细A5小蛮腰与天然翘臀的顶级腰臀比。通体牛奶肌冷白皮、光滑细腻、三点粉嫩。在巴掌脸与极致纤腰的反差衬托下,高耸家族遗传E罩杯天然挺拔硕果美胸,挺拔不下垂,身材线条惊艳绝伦。 ⸻ 气质标签:06年985名校清纯佳人,十年童子功加持(可现场表演民族舞/古典舞)。清纯无整容、一口整齐小白牙,素颜颜值超极高。性格温柔随和、高素质懂事,自带满满的校园纯真气场与极佳的情绪价值。 ⸻ 个人风格定位:170cm 42kg 06年 顶配天然E杯,北京170 985学霸级舞蹈女…
Showing the 12 most recent of 39 posts we hold for @xckxdq_bj. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's 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 1 September 2026 — this entry's latest reading, not the date you are reading this.
“北京修车大圈资源” (@xckxdq_bj), 8,147 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/xckxdq_bj.
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.