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
贵州联盟
@GuiZhouCN
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
16,837subscribers
-50 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001744609545 |
|---|---|
| Type | Channel |
| Username | @GuiZhouCN |
| Created | 15 December 2022 — measured — dated from the channel’s first post |
| First recorded | 15 August 2026 |
| Last confirmed live | 19 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 19 August 2026 |
| On Telegram | t.me/GuiZhouCN |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Aug 2026, 17:03 | 16,837 | -9 |
| 18 Aug 2026, 18:22 | 16,846 | -15 |
| 17 Aug 2026, 19:15 | 16,861 | -12 |
| 16 Aug 2026, 14:46 | 16,873 | -14 |
| 15 Aug 2026, 06:46 | 16,887 | first reading |
Engagement
21 posts held, back to 15 December 2022 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 10 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 11.9%
- avg views ÷ 16,837 subscribers
- Avg views / post
- 2,000
- 3 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 3
- of 21 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.
| Window | Rolling 30 days · latest post in window 17 August 2026 |
|---|---|
| Posts held | 21 (15 December 2022 – 17 August 2026) |
| Views total | 6,005 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 20 Aug 2026, 07:08 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
- 6
- Links
- 11
Lifetime counters from Telegram’s own channel header, read 20 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.
Recent posts
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华北地区/东北地区 天津 太原 石家庄 哈尔滨 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 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
云南哪有真情在,花椒树下谈恋爱! 你麻我来,我麻你! 克嫖最有性价比! 欢迎加入昆明电报群 https://t.me/KMDBQ 群内正在抽取大量现金红包! 以及老师白嫖福利!
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贵州联盟 pinned a photo
🏇 赛马大赛 - 游戏说明 🐴 马年大吉,新春快乐! 为活跃群组气氛,春节期间推出赛马小游戏,并搭配每日抽奖。祝大家玩得开心,好运连连。 🎮 怎么玩 1. 投注:每场比赛开始后有约 7 分钟投注时间,点击按钮选择马匹和积分(10 / 50 / 100 / 500)。 2. 比赛:投注结束后开始比赛,每 10 秒更新一次进度。 3. 结算:押中第一名的马,按赔率瓜分输家奖池。 📊 赔率 • 某匹马当前总投注越少,该马获胜时的赔率越高。 • 你在该马上的投注越多,获胜时能分到的奖池比例越大。 🌟 积分 • 使用群组积分参与游戏。 • 押中赢积分,押错扣积分。 • 每局结束后会发送排行榜,展示当日净胜分排名。 📆 活动时间 • 举办时间:暂定大年初五至大年初七,视情况决定是否延长。 • 每日游戏时间:12:00–24:00(北京时间),每 15 分钟一场。 • 每日抽奖:当日最后一场(23:45)结束后自动抽…
华北地区/华中地区 -北京 -太原 -烟台 -武汉 -长沙 -南阳 -襄阳 -郑州 华东地区/华南地区 -杭州 -福建 -上海 -连云港 -徐州 -常州 -盐城 -淮安 -临沂 -宿迁 -南通 -赣州 -南昌 -无锡 -扬州泰州镇江 -宁波 -嘉兴 -湖州 -济南 -青岛 -合肥 -皖南 -昆明 -苏州 -南京 华南地区 -海口 -三亚 -文昌 -儋州 -珠海 -佛山 -江门 -中山 -柳州 -惠州 -广州 -东莞 西南地区/西北地区 -重庆 -贵阳 -遵义 -西安 -兰州 中文电报圈给各位群友拜年,各大群都有新年活动,大家进群了解!
贵州联盟 pinned «贵州联盟导航»
贵州联盟导航
贵州联盟 pinned Deleted message
Showing the 12 most recent of 21 posts we hold for @GuiZhouCN. 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.
@KMDBQ · 45,6677 postsL.S.®贵阳(导航中心)
@GuiYangNet · 25,0585 posts南通濠河风景区🏞
@ntsis · 55,6845 posts东莞修车大本营
@dg_xc_dby · 23,9634 posts福建老司机交流群(中转群)
@fjlaosiji01 · 21,9784 posts佛山修车大本营
@FS_XC_DBY · 17,0834 posts赣州大学生吹水群
@ganzhouvs · 19,8024 posts长沙打工人互助协会(聊天群)
@goupoyouxuan · 21,8694 posts广州修车交流群
@Gzxcq88 · 30,5594 posts湖州🦖电报大本营
@HNing001BO · 22,9644 posts惠州修车大队
@hzxzdd · 37,6504 posts南昌修车大学
@NanChangRs · 35,1164 posts宁波老司机之家
@NinBoa · 40,8064 posts南京修车交流总群(唯一)
@NJXCddzq · 59,0774 posts江门中山码头
@Nqcsg122 · 20,9604 posts扬州泰州镇江自驾游(中转)
@olddriveryz1 · 18,1594 posts海南三亚陵水旅游度假区 🏝
@sanyasex · 21,3604 posts上海修车指南总群
@shanghaisinan · 83,5114 posts宿迁三台山 ⛰
@suqianshi · 17,9224 posts郑州⛄学生会
@suzhouO_o · 27,5614 posts西安都市日报中转
@TG_029 · 23,4134 posts太原茶语樱园
@tylccq · 20,9524 posts珠海修车大本营
@zh_xc_dby · 46,1484 posts海南海口国际免税城 🛍
@haikoushi · 30,4383 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.
Handles this channel named that no longer answer
- Dead references
- 2
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 2
- vacant every time we have ever looked
@GuiZhouCN named 2 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 19 August 2026 – 19 August 2026
named in 1 post, 19 August 2026 – 19 August 2026
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 19 August 2026 — this entry's latest reading, not the date you are reading this.
“贵州联盟” (@GuiZhouCN), 16,837 subscribers as measured 19 August 2026. Telegram Register, tgregister.com/channel/GuiZhouCN.
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.