Channel
@ZZWAINha
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
9,160subscribers
-143 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002232069623 |
|---|---|
| Type | Channel |
| Username | @ZZWAINha |
| Description | 淮安温柔乡致力为各位车主分享优秀老师，发掘优秀新人，我们没有厂，我们只是车主们的服务站! |
| 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 | 14 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/ZZWAINha |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 13:04 | 9,160 | -77 |
| 11 Aug 2026, 06:04 | 9,237 | -58 |
| 8 Aug 2026, 09:43 | 9,295 | -8 |
| 7 Aug 2026, 19:31 | 9,303 | no change |
| 7 Aug 2026, 19:25 | 9,303 | first reading |
23 posts held, back to 29 June 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 13 pagesof Telegram’s post history, 20 posts per page.
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 13 August 2026 |
|---|---|
| Posts held | 23 (29 June 2026 – 13 August 2026) |
| Views total | 1,433 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 09:54 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.
Lifetime counters from Telegram’s own channel header, read 15 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.
#频道互推 #相似推荐 ------------------------------ 📢 深圳会所95优质店 在线频道 📢 深圳青楼 📢 南京茶楼 📢 重庆品茶 📢 天津百花榜 📢 东莞太子殿 📢 广州 深圳 东莞 佛山 选妃总汇 📢 95/96 服务 SPA 会所｜深圳全城门店 📢 济南 济南外围🔥济南上门🔥 夜色国际 📢 常德修车 ------------------------------ ☁️ 互推入口：@sooo
新群变化快，手动找很容易漏。 SOSO 会展示最近同步的新群入口，适合快速补充新的群组来源。
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频道适合看内容，群组更适合继续交流。 SOSO 可以直接找热门群组，也能按关键词搜同类圈子。 先打开看看当前推荐。
#频道互推 #相似推荐 ------------------------------ 📢 深圳会所95优质店 在线频道 📢 深圳青楼 📢 南京茶楼 📢 重庆品茶 📢 天津百花榜 📢 杭州炮楼 📢 东莞太子殿 📢 广州 深圳 东莞 佛山 选妃总汇 📢 吉林修车 📢 佛山◪会所 ------------------------------ ☁️ 互推入口：@sooo
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刷到一个频道后，通常还想找更多同类入口。 SOSO 精选频道会随机推荐一批已收录频道。 适合继续发现相近内容。
#频道互推 #相似推荐 ------------------------------ 📢 深圳会所95优质店 在线频道 📢 深圳青楼 📢 南京茶楼 📢 重庆品茶 📢 天津百花榜 📢 杭州炮楼 📢 东莞太子殿 📢 广州 深圳 东莞 佛山 选妃总汇 📢 深圳南山伊伊的小花园 📢 长沙修车/上门 ------------------------------ ☁️ 互推入口：@sooo
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在 Telegram 里找内容，先打开 SOSO 搜搜。 频道、群组、帖子、贴纸都可以搜；也可以从发现页继续浏览。
Showing the 12 most recent of 23 posts we hold for @ZZWAINha. 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.
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.
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“淮安温柔乡” (@ZZWAINha), 9,160 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/ZZWAINha.
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.