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Channel
全国修车联盟
@langtianxia
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
60,610subscribers
-16,757 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 |
|---|---|
| Type | Channel |
| 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。 |
| Created | Between 1 May 2024 and 31 October 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/langtianxia |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 16:44 | 60,610 | -132 |
| 11 Aug 2026, 15:08 | 60,742 | -16,041 |
| 10 Aug 2026, 13:47 | 76,783 | -138 |
| 9 Aug 2026, 13:21 | 76,921 | -124 |
| 8 Aug 2026, 13:16 | 77,045 | -276 |
| 7 Aug 2026, 15:54 | 77,321 | -46 |
| 7 Aug 2026, 10:45 | 77,367 | first reading |
Engagement
18 posts held, back to 12 February 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.04%
- avg views ÷ 60,610 subscribers
- Avg views / post
- 3,060
- 5 posts measured
- Reaction rate
- 0.165%
- reactions ÷ views · ER floor
- Posts in window
- 5
- of 18 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 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 18 (12 February 2025 – 6 August 2026) |
| Views total | 15,280 |
| Reactions total | 23 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 07:46 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
- 10
- Links
- 11
Lifetime counters from Telegram’s own channel header, read 13 August 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
434 reactions across 17 posts, in 12 distinct kinds. The most used accounts for 45.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 199 | 45.9% | |
| 💩 | 62 | 14.3% | |
| 👍 | 38 | 8.76% | |
| 👏 | 32 | 7.37% | |
| 🥰 | 30 | 6.91% | |
| 🤮 | 29 | 6.68% | |
| 🔥 | 18 | 4.15% | |
| 🤩 | 14 | 3.23% | |
| ❤🔥 | 6 | 1.38% | |
| 🎉 | 3 | 0.691% | |
| 💯 | 2 | 0.461% | |
| 👎 | 1 | 0.23% |
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 17 of the 18 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 434reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 12 February 2025 to 6 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
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…
❤1
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
❤3
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。
💩4❤2🤮2
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…
💩5❤3🤮2🥰1
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💩4❤3🤮2
https://t.me/zltal
💩5❤1🤮1
https://t.me/qg8888889
💩3🤮2
加群 防失联 https://t.me/tfytj56
💩5🤮2
🥇🥇以下 为入驻友群中转部 ② 点击蓝色字体跳转 欢迎加入 4 点击下方蓝色字可以查看各市区修车老群 ↓ ↓ 👉 防骗 👈 ⭐ 全国联盟大群 ⭐ 长沙 苏州 义乌 福建 重庆 广东 南宁 嘉兴 成都 贵阳 昆明 温州 沈阳 长春 郑州 天津 南昌 海南 合肥 广州 西安 武汉 杭州 上海 南京 宁波 北京 东莞…
❤12💩5👍1👎1🤮1
🥇🥇以下 为入驻友群中转部 ② 点击蓝色字体跳转 欢迎加入 4 点击下方蓝色字可以查看各市区修车老群 ↓ ↓ 👉 防骗 👈 ⭐ 全国联盟大群 ⭐ 长沙 苏州 义乌 福建 重庆 广东 南宁 嘉兴 成都 贵阳 昆明 温州 沈阳 长春 郑州 天津 南昌 海南 合肥 广州 西安 武汉 杭州 上海 南京 宁波 北京 东莞…
💩5❤3🤮3
全国林妹高端外围【大⭕️】 #定金预约 本群可担保 💎专注各市区修车 🈶洋马,空姐,少妇,萝莉, 御姐等高素质高颜值🉑上门 🈶教室 ✡️奢华的环境、全套服务、至尊享受、帝王体验 ♏️客服林妹: @wai998bot ♒️总频道: https://t.me/yewuzuvip 本群推荐信誉客服
❤22💩4🤮2
Showing the 12 most recent of 18 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.
Citation-graph rank
Citation-graph rank — 586,803 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“全国修车联盟” (@langtianxia), 60,610 subscribers as measured 12 August 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.