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Channel

全国修车联盟

@langtianxia

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

55,832subscribers

-21,535 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-1002246243677
TypeChannel
Username@langtianxia
Description狼友出击 水流成河 全国修车同城 https://t.me/qg8888889 北京,天津, 上海, 重庆,河北,山西,辽宁,吉林,黑龙江,江苏,浙江,安徽,福建,江西,山东,河南,湖北,湖南,广东,海南,四川,贵州,云南,陕西,甘肃,青海,台湾,内蒙古,广西,西藏,宁夏,新疆,香港,澳门。
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 7 September 2026
On Telegramt.me/langtianxia

Growth

55,83277,36766,599.57 August 2026 — 77,367 subscribers7 August 2026 — 77,321 subscribers8 August 2026 — 77,045 subscribers9 August 2026 — 76,921 subscribers10 August 2026 — 76,783 subscribers11 August 2026 — 60,742 subscribers12 August 2026 — 60,610 subscribers14 August 2026 — 60,454 subscribers15 August 2026 — 60,216 subscribers17 August 2026 — 59,834 subscribers18 August 2026 — 59,711 subscribers19 August 2026 — 59,624 subscribers20 August 2026 — 59,552 subscribers21 August 2026 — 59,469 subscribers23 August 2026 — 59,282 subscribers24 August 2026 — 59,141 subscribers25 August 2026 — 58,923 subscribers27 August 2026 — 58,821 subscribers27 August 2026 — 58,796 subscribers28 August 2026 — 58,682 subscribers29 August 2026 — 58,547 subscribers30 August 2026 — 58,295 subscribers31 August 2026 — 58,197 subscribers1 September 2026 — 58,008 subscribers2 September 2026 — 57,723 subscribers4 September 2026 — 57,259 subscribers7 September 2026 — 55,832 subscribers7 August 20267 September 2026
27 measurements spanning 31 days, net -21,535. 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 52,602–80,597 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
7 Sept 2026, 18:4155,832-1,427
4 Sept 2026, 16:4157,259-464
2 Sept 2026, 23:3657,723-285
1 Sept 2026, 21:5458,008-189
31 Aug 2026, 18:1758,197-98
30 Aug 2026, 20:5758,295-252
29 Aug 2026, 20:4458,547-135
28 Aug 2026, 21:5258,682-114
27 Aug 2026, 21:2458,796-25
27 Aug 2026, 00:0458,821-102
25 Aug 2026, 23:4858,923-218
24 Aug 2026, 20:5259,141-141
23 Aug 2026, 08:4459,282-187
21 Aug 2026, 21:0659,469-83
20 Aug 2026, 14:4259,552-72
19 Aug 2026, 13:1759,624-87
18 Aug 2026, 10:5359,711-123
17 Aug 2026, 09:2759,834-382
15 Aug 2026, 15:2260,216-238
14 Aug 2026, 00:2760,454first reading

Engagement

26 posts held, back to 12 February 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 74 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.47%
avg views ÷ 55,832 subscribers
Avg views / post
1,380
8 posts measured
Reaction rate
0.123%
reactions ÷ views · ER floor
Posts in window
8
of 26 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 8 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 7 September 2026
Posts held26 (12 February 20257 September 2026)
Views total11,052
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 10:05 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
11
Links
13

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

Reaction mix

440 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 48.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
21548.9%
💩7015.9%
👍388.64%
👏327.27%
🥰306.82%
🤮276.14%
🔥184.09%
❤‍🔥61.36%
🤩30.682%
👎10.227%

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 21 of the 26 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 440 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 12 February 2025 to 7 September 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

7 Sept 2026, 19:45 UTC468 viewsread 9 September 2026

👍查婚姻.开房记录.手机定位.银行微信流水.车辆轨迹.模糊找人 ❤️👨🏻‍✈️个户全户🔥婚姻记录👨🏻‍✈️✅ ❤️👨🏻‍✈️开房记录🔥同住记录👨🏻‍✈️✅ ❤️👨🏻‍✈️名下号码🔥名下房产👨🏻‍✈️✅ ❤️👨🏻‍✈️犯罪在逃🔥模糊找人👨🏻‍✈️✅ ❤️👨🏻‍✈️冻结原因🔥社保地址👨🏻‍✈️✅ ❤️👨🏻‍✈️宽带地址🔥关联一切👨🏻‍✈️✅ ❤️👨🏻‍✈️三网位置️🔥三网机主👨🏻‍✈️✅ ❤️👨🏻‍✈️三网话单🔥定位找人👨🏻‍✈️✅ ❤️👨🏻‍✈️手机轨迹🔥快递地址👨🏻‍✈️✅ ❤️👨🏻‍✈️淘宝地址🔥微信反查👨🏻‍✈️✅ ❤️👨🏻‍✈️微信流水🔥支付流水👨🏻‍✈️✅ ❤️👨🏻‍✈️微好友提🔥Q 好友提👨🏻‍✈️✅ ❤️👨🏻‍✈️护照正反🔥名下车档👨🏻‍✈️✅ ❤️👨🏻‍✈️三页汽车🔥汽车违章👨🏻‍✈️✅ ❤️👨🏻‍✈️支付码反🔥历史户籍👨🏻‍✈️✅ ❤️👨🏻‍✈️身份轨迹🔥小档汽车👨🏻‍✈️✅ ❤️👨🏻‍✈️车辆轨迹🔥企业法人👨

5 Sept 2026, 20:45 UTC461 viewsread 7 September 2026

👍查婚姻.开房记录.手机定位.银行微信流水.车辆轨迹.模糊找人 ❤️👨🏻‍✈️个户全户🔥婚姻记录👨🏻‍✈️✅ ❤️👨🏻‍✈️开房记录🔥同住记录👨🏻‍✈️✅ ❤️👨🏻‍✈️名下号码🔥名下房产👨🏻‍✈️✅ ❤️👨🏻‍✈️犯罪在逃🔥模糊找人👨🏻‍✈️✅ ❤️👨🏻‍✈️冻结原因🔥社保地址👨🏻‍✈️✅ ❤️👨🏻‍✈️宽带地址🔥关联一切👨🏻‍✈️✅ ❤️👨🏻‍✈️三网位置️🔥三网机主👨🏻‍✈️✅ ❤️👨🏻‍✈️三网话单🔥定位找人👨🏻‍✈️✅ ❤️👨🏻‍✈️手机轨迹🔥快递地址👨🏻‍✈️✅ ❤️👨🏻‍✈️淘宝地址🔥微信反查👨🏻‍✈️✅ ❤️👨🏻‍✈️微信流水🔥支付流水👨🏻‍✈️✅ ❤️👨🏻‍✈️微好友提🔥Q 好友提👨🏻‍✈️✅ ❤️👨🏻‍✈️护照正反🔥名下车档👨🏻‍✈️✅ ❤️👨🏻‍✈️三页汽车🔥汽车违章👨🏻‍✈️✅ ❤️👨🏻‍✈️支付码反🔥历史户籍👨🏻‍✈️✅ ❤️👨🏻‍✈️身份轨迹🔥小档汽车👨🏻‍✈️✅ ❤️👨🏻‍✈️车辆轨迹🔥企业法人👨

3 Sept 2026, 21:45 UTC456 views0 reactionsread 5 September 2026

👍查婚姻.开房记录.手机定位.银行微信流水.车辆轨迹.模糊找人 ❤️👨🏻‍✈️个户全户🔥婚姻记录👨🏻‍✈️✅ ❤️👨🏻‍✈️开房记录🔥同住记录👨🏻‍✈️✅ ❤️👨🏻‍✈️名下号码🔥名下房产👨🏻‍✈️✅ ❤️👨🏻‍✈️犯罪在逃🔥模糊找人👨🏻‍✈️✅ ❤️👨🏻‍✈️冻结原因🔥社保地址👨🏻‍✈️✅ ❤️👨🏻‍✈️宽带地址🔥关联一切👨🏻‍✈️✅ ❤️👨🏻‍✈️三网位置️🔥三网机主👨🏻‍✈️✅ ❤️👨🏻‍✈️三网话单🔥定位找人👨🏻‍✈️✅ ❤️👨🏻‍✈️手机轨迹🔥快递地址👨🏻‍✈️✅ ❤️👨🏻‍✈️淘宝地址🔥微信反查👨🏻‍✈️✅ ❤️👨🏻‍✈️微信流水🔥支付流水👨🏻‍✈️✅ ❤️👨🏻‍✈️微好友提🔥Q 好友提👨🏻‍✈️✅ ❤️👨🏻‍✈️护照正反🔥名下车档👨🏻‍✈️✅ ❤️👨🏻‍✈️三页汽车🔥汽车违章👨🏻‍✈️✅ ❤️👨🏻‍✈️支付码反🔥历史户籍👨🏻‍✈️✅ ❤️👨🏻‍✈️身份轨迹🔥小档汽车👨🏻‍✈️✅ ❤️👨🏻‍✈️车辆轨迹🔥企业法人👨

1 Sept 2026, 22:45 UTC584 viewsread 3 September 2026

👍查婚姻.开房记录.手机定位.银行微信流水.车辆轨迹.模糊找人 ❤️👨🏻‍✈️个户全户🔥婚姻记录👨🏻‍✈️✅ ❤️👨🏻‍✈️开房记录🔥同住记录👨🏻‍✈️✅ ❤️👨🏻‍✈️名下号码🔥名下房产👨🏻‍✈️✅ ❤️👨🏻‍✈️犯罪在逃🔥模糊找人👨🏻‍✈️✅ ❤️👨🏻‍✈️冻结原因🔥社保地址👨🏻‍✈️✅ ❤️👨🏻‍✈️宽带地址🔥关联一切👨🏻‍✈️✅ ❤️👨🏻‍✈️三网位置️🔥三网机主👨🏻‍✈️✅ ❤️👨🏻‍✈️三网话单🔥定位找人👨🏻‍✈️✅ ❤️👨🏻‍✈️手机轨迹🔥快递地址👨🏻‍✈️✅ ❤️👨🏻‍✈️淘宝地址🔥微信反查👨🏻‍✈️✅ ❤️👨🏻‍✈️微信流水🔥支付流水👨🏻‍✈️✅ ❤️👨🏻‍✈️微好友提🔥Q 好友提👨🏻‍✈️✅ ❤️👨🏻‍✈️护照正反🔥名下车档👨🏻‍✈️✅ ❤️👨🏻‍✈️三页汽车🔥汽车违章👨🏻‍✈️✅ ❤️👨🏻‍✈️支付码反🔥历史户籍👨🏻‍✈️✅ ❤️👨🏻‍✈️身份轨迹🔥小档汽车👨🏻‍✈️✅ ❤️👨🏻‍✈️车辆轨迹🔥企业法人👨

30 Aug 2026, 23:45 UTC515 views1 reactionsread 1 September 2026

👍查婚姻.开房记录.手机定位.银行微信流水.车辆轨迹.模糊找人 ❤️👨🏻‍✈️个户全户🔥婚姻记录👨🏻‍✈️✅ ❤️👨🏻‍✈️开房记录🔥同住记录👨🏻‍✈️✅ ❤️👨🏻‍✈️名下号码🔥名下房产👨🏻‍✈️✅ ❤️👨🏻‍✈️犯罪在逃🔥模糊找人👨🏻‍✈️✅ ❤️👨🏻‍✈️冻结原因🔥社保地址👨🏻‍✈️✅ ❤️👨🏻‍✈️宽带地址🔥关联一切👨🏻‍✈️✅ ❤️👨🏻‍✈️三网位置️🔥三网机主👨🏻‍✈️✅ ❤️👨🏻‍✈️三网话单🔥定位找人👨🏻‍✈️✅ ❤️👨🏻‍✈️手机轨迹🔥快递地址👨🏻‍✈️✅ ❤️👨🏻‍✈️淘宝地址🔥微信反查👨🏻‍✈️✅ ❤️👨🏻‍✈️微信流水🔥支付流水👨🏻‍✈️✅ ❤️👨🏻‍✈️微好友提🔥Q 好友提👨🏻‍✈️✅ ❤️👨🏻‍✈️护照正反🔥名下车档👨🏻‍✈️✅ ❤️👨🏻‍✈️三页汽车🔥汽车违章👨🏻‍✈️✅ ❤️👨🏻‍✈️支付码反🔥历史户籍👨🏻‍✈️✅ ❤️👨🏻‍✈️身份轨迹🔥小档汽车👨🏻‍✈️✅ ❤️👨🏻‍✈️车辆轨迹🔥企业法人👨

1

29 Aug 2026, 00:45 UTC558 viewsread 30 August 2026

👍查婚姻.开房记录.手机定位.银行微信流水.车辆轨迹.模糊找人 ❤️👨🏻‍✈️个户全户🔥婚姻记录👨🏻‍✈️✅ ❤️👨🏻‍✈️开房记录🔥同住记录👨🏻‍✈️✅ ❤️👨🏻‍✈️名下号码🔥名下房产👨🏻‍✈️✅ ❤️👨🏻‍✈️犯罪在逃🔥模糊找人👨🏻‍✈️✅ ❤️👨🏻‍✈️冻结原因🔥社保地址👨🏻‍✈️✅ ❤️👨🏻‍✈️宽带地址🔥关联一切👨🏻‍✈️✅ ❤️👨🏻‍✈️三网位置️🔥三网机主👨🏻‍✈️✅ ❤️👨🏻‍✈️三网话单🔥定位找人👨🏻‍✈️✅ ❤️👨🏻‍✈️手机轨迹🔥快递地址👨🏻‍✈️✅ ❤️👨🏻‍✈️淘宝地址🔥微信反查👨🏻‍✈️✅ ❤️👨🏻‍✈️微信流水🔥支付流水👨🏻‍✈️✅ ❤️👨🏻‍✈️微好友提🔥Q 好友提👨🏻‍✈️✅ ❤️👨🏻‍✈️护照正反🔥名下车档👨🏻‍✈️✅ ❤️👨🏻‍✈️三页汽车🔥汽车违章👨🏻‍✈️✅ ❤️👨🏻‍✈️支付码反🔥历史户籍👨🏻‍✈️✅ ❤️👨🏻‍✈️身份轨迹🔥小档汽车👨🏻‍✈️✅ ❤️👨🏻‍✈️车辆轨迹🔥企业法人👨

19 Aug 2026, 06:20 UTC≈3,910 views5 reactionsread 9 September 2026
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以下是各市区中转站 南宁 @al_qunfudhah 南京 @ajinkya 珠海 @toncoins101 东莞 @jukedeckai 长沙 @livejournall 重庆 @hhggjjj451 义乌 @louvrehotels 海南 @nhgjjnbjk58745 苏州 @g_40000 福建 @xiuc584855455666 成都 @cd475445 广东 @ejettons 沈阳 @qwwassaa22332 北京 @sdgftyhueerh2 长春 @dfdd453f 贵阳 @nhdfhd223 郑州 @ssdfd2311 昆明 @wsaa1231 温州 @ddss33241 上海 @iq748 宁波 @dashboardapp 嘉兴 @dangzaiwoxinzhong 杭州 @dwflabz 哈尔滨 @ssdds321e 武汉 @eldor_khalliyev 天津 @lj

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6 Aug 2026, 11:08 UTC≈4,830 views4 reactionsread 9 September 2026
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#潘姐高端极品【大⭕️】 #诚信客服 已验证 #定金预约 群管已担保 💎专注特区一线城市修车,纯一手资源 只有你想不到的,没有我没有的。 ✡️奢华的环境、全套一条龙服务、至尊享受、帝王体验 ♒️总频道: @hnanjingjujidi ♏️客服潘姐: @panjie888168bot

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31 Jul 2026, 08:47 UTC≈4,990 views2 reactionsread 9 September 2026
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以下是各市区中转站 南宁 @al_qunfudhah 南京 @ajinkya 珠海 @toncoins101 东莞 @jukedeckai 长沙 @livejournall 重庆 @hhggjjj451 义乌 @louvrehotels 海南 @nhgjjnbjk58745 苏州 @g_40000 福建 @xiuc584855455666 成都 @cd475445 广东 @ejettons 沈阳 @qwwassaa22332 北京 @sdgftyhueerh2 长春 @dfdd453f 贵阳 @nhdfhd223 郑州 @ssdfd2311 昆明 @wsaa1231 温州 @ddss33241 上海 @iq748 宁波 @dashboardapp 嘉兴 @dangzaiwoxinzhong 杭州 @dwflabz 哈尔滨 @ssdds321e 武汉 @eldor_khalliyev 天津 @lj

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30 Jul 2026, 16:05 UTC≈3,810 views4 reactionsread 9 September 2026
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第一步:点击 @spambot 此为唯一官方解限制bot,其余均为假冒,有盗号风险 第二步:点击 Start 第三步:点击 But I can't message non-contacts! 第四步:点击 No,I'll never do any of this! 第五步:回复 accident #无法私聊 #限制解除

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26 Jul 2026, 06:09 UTC≈4,030 views8 reactionsread 9 September 2026

近期出现很多冒充管理员,他们的ID,头像,名字一般都会设置的跟管理员很接近,以可以帮助上榜,广告低价为由收取费用,一般管理员是不会主动私信你们的,私信基本百分之99都是骗子,不要相信突然莫名的私信,已经有人被骗。

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Showing the 12 most recent of 26 posts we hold for @langtianxia. 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

Named by 3 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 7 September 2026 — this entry's latest reading, not the date you are reading this.

“全国修车联盟” (@langtianxia), 55,832 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/langtianxia.

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.