华北地区/东北地区 天津 太原 石家庄 哈尔滨 大连 华中地区: 郑州 南阳 新乡 武汉 武汉2 襄阳 宜昌 长沙 衡阳 常德 华东地区: 济南 临沂 枣庄泰安济宁 聊城 南京 苏州 淮安 南通 盐城 宿迁 扬州泰州镇江 徐州 连云港 无锡 常州 合肥 皖南 阜阳亳州 宿州淮北 蚌埠淮南 上海 杭州 宁波 湖州 嘉兴 绍兴 南昌 赣州 景德镇 福建 华南地区 广州 佛山 东莞 珠海 惠州 江门 中山 韶关 河源 潮州揭阳 南宁 柳州 海口 三亚 琼海 儋州 西南地区/西北地区 西安 兰州 成都 贵阳 遵义 昆明

Channel
江西赣州修车公开榜
@ganzhouGB
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
11,231subscribers
-3 since we began measuring on 17 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001719418116 |
|---|---|
| Type | Channel |
| Username | @ganzhouGB |
| Description | 赣南根据地,欢迎十八个县市狼友加入本群! |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 17 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/ganzhouGB |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 23:22 | 11,231 | -3 |
| 17 Aug 2026, 09:11 | 11,234 | first reading |
Engagement
10 posts held, back to 2 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 3 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 24.3%
- avg views ÷ 11,231 subscribers
- Avg views / post
- 2,730
- 10 posts measured
- Reaction rate
- 0.043%
- reactions ÷ views · ER floor
- Posts in window
- 10
- of 10 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 8 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 17 August 2026 |
|---|---|
| Posts held | 10 (2 August 2026 – 17 August 2026) |
| Views total | 27,255 |
| Reactions total | 10 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Aug 2026, 09:19 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
- 36
- Videos
- 3
- Links
- 9
Lifetime counters from Telegram’s own channel header, read 18 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
10 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 80.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 80.0% | |
| 👍 | 1 | 10.0% | |
| 😁 | 1 | 10.0% |
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 8 of the 10 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 10reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 2 August 2026 to 17 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
翻墙困难 可以试试这个以流量计费的机场 https://47.242.128.61:8000/register?aff=8PLfsSzK (复制到浏览器打开即可注册购买套餐) 里面有教程
❤1
——2026年 #南康区龙岭镇灯饰城站街妹妹活动区域 #最新情报 润佳便利超市——强盛汽车维修中心(这段路最多)10~20人左右 年龄大概都是20岁出头左右 快餐150元-200左右一次、建议每天晚上9点到12点左右去看,据说其中有大学生兼职、具体身份不明 ❶直线路段是站街人数较多的区域 ❷红色圆圈区域站街妹妹较为零散
❤2👍1😁1
五桂山内凝沉香 香洲梦中舞花魁 湾区光谷散胭脂 唯留红楼聚风华 红楼立 骚客帖 https://t.me/ZS_HongLou
❤1
花名: 蚂蚁 价位: 600/p 服务: 全套上门 微信: Bvx6935 赣州章贡区 房产销售员,胆大的兄弟可以选择内射
❤1
花名: 柰子 价位:600/p 微信: naitutu999 服务: 全套 可以69互舔 赣州章贡区 个人兼职 可上门
❤1
花名: 雅彤 价位: 600/p 服务: 全套 微信: wyt240281888 赣州章贡区 有课室 可上门
花名: 一帆 价位: 400半套 600莞式全套 微信: xw6677168 妹子在南康龙岭附近 湖南株洲的
花名: 静静 价位: 500/p 微信: Abt0751 服务: 全套 妹子在南康家具城附近 具体位置自己问
❤2
花名: 西米 价位: 700/p 微信: hhxpz527 服务: 全套
Showing the 10 most recent of 10 posts we hold for @ganzhouGB. 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.
@dg_xc_dby · 23,8361 post福建老司机交流群(中转群)
@fjlaosiji01 · 22,7421 post佛山修车大本营
@FS_XC_DBY · 17,0771 post长沙打工人互助协会(聊天群)
@goupoyouxuan · 21,7991 postL.S.®贵阳(导航中心)
@GuiYangNet · 24,9971 post海南海口国际免税城 🛍
@haikoushi · 30,4161 post湖州🦖电报大本营
@HNing001BO · 22,8881 post韶关修车交流群2.0
@maoming66 · 18,2441 post宁波老司机之家
@NinBoa · 40,4321 post成都修车总群
@olddriver_cdq · 20,2531 post扬州泰州镇江自驾游(中转)
@olddriveryz1 · 17,8291 post潮汕汕头潮州揭阳交流总群
@Shantou818 · 46,4141 post郑州⛄学生会
@suzhouO_o · 26,9781 post西安都市日报中转
@TG_029 · 23,3391 post天津不做龟男
@tianjingirl · 40,4251 post太原茶语樱园
@tylccq · 20,8621 post哈尔滨/大连(驻凡学院)公开榜:
@wenwen09870 · 24,1491 post武汉修车研习社
@whkdyyy · 60,3481 post武汉老司机 (中转)
@wuhanshare · 29,7821 post无锡老司机【修车指南】
@WUXILIANGXIQU · 4,3371 post常州🌳新龙生态林【2.0】
@xlstl · 16,6251 post宜昌学生会
@yichangspa · 19,7611 post阜阳🚢亳州【伟大航路交流群】
@yulinwuzhou77 · 28,9931 post珠海修车大本营
@zh_xc_dby · 46,1121 post
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“江西赣州修车公开榜” (@ganzhouGB), 11,231 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/ganzhouGB.
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.