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Channel
合肥名车榜
@svipprivete
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
35,938subscribers
+2,995 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001279083043 |
|---|---|
| Type | Channel |
| Username | @svipprivete |
| Description | 【修车老总】 @ca6688bot 【修车频道】 https://t.me/svipprivete 【修车老群】https://t.me/hbgjk8 【全国修车】 @langtianxia 【公用防雷】https://t.me/bikan888 |
| Created | Between 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 6 September 2026 |
| Measurements held | 23 |
| Confirmed unchanged | 1 time, most recently 6 September 2026 |
| On Telegram | t.me/svipprivete |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Sept 2026, 21:57 | 35,938 | -228 |
| 4 Sept 2026, 05:57 | 36,166 | -181 |
| 2 Sept 2026, 20:03 | 36,347 | -149 |
| 1 Sept 2026, 21:05 | 36,496 | -104 |
| 31 Aug 2026, 18:35 | 36,600 | -5 |
| 30 Aug 2026, 15:47 | 36,605 | -84 |
| 29 Aug 2026, 17:35 | 36,689 | -192 |
| 28 Aug 2026, 17:04 | 36,881 | -136 |
| 27 Aug 2026, 19:03 | 37,017 | -90 |
| 26 Aug 2026, 15:25 | 37,107 | -100 |
| 25 Aug 2026, 14:52 | 37,207 | -77 |
| 24 Aug 2026, 13:06 | 37,284 | -141 |
| 22 Aug 2026, 23:38 | 37,425 | -560 |
| 21 Aug 2026, 11:05 | 37,985 | +28 |
| 20 Aug 2026, 12:19 | 37,957 | +35 |
| 19 Aug 2026, 12:02 | 37,922 | -5 |
| 18 Aug 2026, 15:02 | 37,927 | -80 |
| 17 Aug 2026, 14:06 | 38,007 | -36 |
| 16 Aug 2026, 06:03 | 38,043 | -1,533 |
| 14 Aug 2026, 19:57 | 39,576 | first reading |
Engagement
19 posts held, back to 6 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 53 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 10.8%
- avg views ÷ 35,938 subscribers
- Avg views / post
- 3,880
- 15 posts measured
- Reaction rate
- 0.045%
- reactions ÷ views · ER floor
- Posts in window
- 15
- of 19 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 7 of 15 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 September 2026 |
|---|---|
| Posts held | 19 (6 August 2026 – 7 September 2026) |
| Views total | 58,129 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Sept 2026, 15:13 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
- 588
- Videos
- 81
- Links
- 33
Lifetime counters from Telegram’s own channel header, read 7 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.
- Video runtime
- 27s
- Average length
- 7s
Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
17 reactions across 6 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 17 | 100.0% |
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 19 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 6 August 2026 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
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❤1
圈界NO.1 🟡昵称:#贝贝 🕐地区:#合肥 #包河区 🤖双向:@Ningxia1688bot 🚀电报:@Ningxia868 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 认真专注做事的时候,你的身上会散发出别样光彩,那份投入的模样,为你的美貌又添上一层独特滤镜。 🔰#点击下方查看详情⬇️
业界NO.1 🟡花名:#伊恋 🕐位置: #瑶海 🤖双向:@yilian3bot 🚀电报:@yilian35 🔔小窝: 点击浏览频道👀 🔴课费:⬆️课表查看图⬆️ 🔴标签 #已认证上榜 🔰【格言 】 笑起来的时候整个人都闪闪发光,明媚的笑意很有感染力,仿佛可以驱散周遭所有的沉闷,这般鲜活的模样实在让人难忘。 🔰#点击下方查看详情⬇️
❤2
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🟡昵称: 玉玉 🕐地区:#蜀山 包河 🤖双向:@yuyummm666bot 🚀电报:@yuyumeimei6 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 🔰#外出车费随意不超过100 🔰#点击下方查看详情⬇️ 🔰【评论区必看 】 ⬇️⬇️⬇️
❤7
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🟡昵称: 小狐狸 🕐地区:# 包河 🤖双向: @xnniaohuli_bot 🚀电报: @sixxfgv1 🔔频道: https://t.me/ubuu2852 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 #车费定金狼友自己随意不超过100 #老师狼友请看下方评论区⬇️
❤4
Showing the 12 most recent of 19 posts we hold for @svipprivete. 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.
@GBN807 · 5,5991 post四妹~蜀山
@hfsm2000 · 5811 post全国大圈极品聚集总部
@hnanjingjujidi · 23,1041 post极搜🔍资源搜索@JISOU
@jisou2 · 1,674,8311 postwz071998
@wz071998 · 1,4101 post悠悠。不尽长江滚滚流
@wz071999 · 9521 post合肥全区95中项13:00-3:00开工
@xckoubao · 521 post合肥全区98大项13:00-3:00开工
@xczuoai · 501 post御龍轩·客户反馈·广告中心·
@YLX8888P · 10,4181 post合肥·庐阳区·御龍轩·SPA
@YLX888S · 20,8971 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 6 September 2026 — this entry's latest reading, not the date you are reading this.
“合肥名车榜” (@svipprivete), 35,938 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/svipprivete.
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.