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Channel

合肥名车榜

@svipprivete

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

29,995subscribers

-2,948 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001279083043
TypeChannel
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
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live23 October 2026
Measurements held41
Confirmed unchanged1 time, most recently 23 October 2026
On Telegramt.me/svipprivete

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 85% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

29,57139,57634,573.512 August 2026 — 32,943 subscribers12 August 2026 — 32,943 subscribers13 August 2026 — 32,856 subscribers14 August 2026 — 39,576 subscribers16 August 2026 — 38,043 subscribers17 August 2026 — 38,007 subscribers18 August 2026 — 37,927 subscribers19 August 2026 — 37,922 subscribers20 August 2026 — 37,957 subscribers21 August 2026 — 37,985 subscribers22 August 2026 — 37,425 subscribers24 August 2026 — 37,284 subscribers25 August 2026 — 37,207 subscribers26 August 2026 — 37,107 subscribers27 August 2026 — 37,017 subscribers28 August 2026 — 36,881 subscribers29 August 2026 — 36,689 subscribers30 August 2026 — 36,605 subscribers31 August 2026 — 36,600 subscribers1 September 2026 — 36,496 subscribers2 September 2026 — 36,347 subscribers4 September 2026 — 36,166 subscribers6 September 2026 — 35,938 subscribers10 September 2026 — 35,348 subscribers12 September 2026 — 34,798 subscribers14 September 2026 — 34,178 subscribers15 September 2026 — 33,810 subscribers17 September 2026 — 33,604 subscribers28 September 2026 — 30,928 subscribers5 October 2026 — 29,571 subscribers9 October 2026 — 30,630 subscribers13 October 2026 — 30,301 subscribers14 October 2026 — 30,199 subscribers15 October 2026 — 30,118 subscribers16 October 2026 — 30,061 subscribers17 October 2026 — 30,004 subscribers18 October 2026 — 29,999 subscribers19 October 2026 — 29,989 subscribers20 October 2026 — 30,012 subscribers22 October 2026 — 30,038 subscribers23 October 2026 — 29,995 subscribers29,99512 August 202623 October 2026
41 measurements spanning 71 days, net -2,948. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 28,070–41,077 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 41
Measured (UTC)SubscribersChange
23 Oct 2026, 01:3829,995-43
22 Oct 2026, 01:5930,038+26
20 Oct 2026, 19:3130,012+23
19 Oct 2026, 22:0629,989-10
18 Oct 2026, 22:2029,999-5
17 Oct 2026, 21:2930,004-57
16 Oct 2026, 18:2030,061-57
15 Oct 2026, 16:4530,118-81
14 Oct 2026, 17:4930,199-102
13 Oct 2026, 11:3030,301-329
9 Oct 2026, 13:2230,630+1,059
5 Oct 2026, 03:2129,571-1,357
28 Sept 2026, 08:4030,928-2,676
17 Sept 2026, 17:5833,604-206
15 Sept 2026, 18:2033,810-368
14 Sept 2026, 01:2134,178-620
12 Sept 2026, 07:5934,798-550
10 Sept 2026, 04:5835,348-590
6 Sept 2026, 21:5735,938-228
4 Sept 2026, 05:5736,166first reading

Engagement

42 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 131 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.23%
avg views ÷ 29,995 subscribers
Avg views / post
1,570
16 posts measured
Reaction rate
0.078%
reactions ÷ views · ER floor
Posts in window
16
of 42 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 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 20 October 2026
Posts held42 (6 August 2026 – 20 October 2026)
Views total25,094
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Oct 2026, 04:53 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
693
Videos
98
Links
44

Lifetime counters from Telegram’s own channel header, read 23 October 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
2m 09s
Average length
11s

Measured directly from 12 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

31 reactions across 16 posts, in 2 distinct kinds. The most used accounts for 96.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3096.8%
🥰13.23%

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 20 of the 42 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 42 most recent posts we hold, published 6 August 2026 to 20 October 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

20 Oct 2026, 16:06 UTC≈1,070 viewsread 23 October 2026
Photo

圈界NO.1 🟡昵称:#甜柚 🕐地区:#包河区 🤖双向:@Qibao520168bot 🚀电报:@Qibao520 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你的存在就像一阵清风,让人感到舒适而畅快。 🔰#点击下方查看详情⬇️

20 Oct 2026, 05:50 UTC≈1,230 viewsread 23 October 2026
Photo

圈界NO.1 🟡昵称:可可 🕐地区:#蜀山区 🤖双向: 🚀电报:@ZKJP8888 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 愿你如江南细雨般细腻温柔,亦如傲雪凌霜般坚韧独绝。 🔰#点击下方查看详情⬇️

12 Oct 2026, 12:53 UTC≈3,230 views2 reactionsread 23 October 2026
Photo

🟡昵称: 悠悠 🕐地区:#蜀山区 🤖双向:@wangz1999bot 🚀电报:@wangz1999 🔔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 】 ⬇️⬇️⬇️

❤2

12 Oct 2026, 06:37 UTC≈3,320 viewsread 23 October 2026
Photo

圈界NO.1 🟡昵称:#贝贝 🕐地区:#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 】 骨相清奇,绝世独立,有如云端落下的清冷仙子。 🔰#点击下方查看详情⬇️

12 Oct 2026, 05:49 UTC≈2,490 views2 reactionsread 20 October 2026
Photo

圈界NO.1 🟡昵称:月月 🕐地区:#蜀山区 🤖双向:@yueyue168168bot 🚀电报:@yue071998 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你带一身诗意而来,将平淡的岁月化作了满地花香。 🔰#点击下方查看详情⬇️

❤1🥰1

12 Oct 2026, 05:37 UTC≈1,110 viewsread 14 October 2026
Photo

🟡昵称: 四妹 🕐地区:#合肥蜀山区 🤖双向:@hfsm200bot 🚀电报:@hfsm200 🔔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 】 ⬇️⬇️⬇️

12 Oct 2026, 05:31 UTC111 viewsread 12 October 2026
Photo

圈界NO.1 🟡昵称:月月 🕐地区:#蜀山区 🤖双向:@yueyue168168bot 🚀电报:@yue071998 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 你带一身诗意而来,将平淡的岁月化作了满地花香。 🔰#点击下方查看详情⬇️

11 Oct 2026, 12:25 UTC288 views1 reactionsread 11 October 2026
Photo

♥️合肥歌友会 ♥️小型小黑屋 ♥️黑灯舞模式 ♥️门票50一位 ♥️舞蹈老师5元一分钟,20元起 ♥️拒绝未成年 ♥️拒绝违法犯罪 ♥️欢迎推荐与推荐 ♥️正常营业 ♥️时间:下午14点到0点。 ♥️舞蹈老师20+ ♥️新来00后舞蹈老师,颜值在线。 ♥️欢迎私聊我 拒绝一切违法行为! 联系不上打电话:18110504136 私信 @LuminaryCollective

❤1

11 Oct 2026, 09:06 UTC421 viewsread 11 October 2026
Photo

合肥个人天花板,无人能超越的外围神话。510 平私家豪宅工作室,顶级私密环境 豪华配套设施。(个人老师,不是会所) 四大模块,问鼎业内。 SM 调教室、钢管舞互动表演、豪华剧场十大剧情、茗月浴场鸳鸯浴。 此间风华,只为贵客与挚友珍藏。 预约私信: @xiximm6688 (个人粉丝群: 群组点击浏览👀 个人频道: 频道点击浏览👀 豪华剧场: 频道点击浏览👀

10 Oct 2026, 06:38 UTC638 views1 reactionsread 11 October 2026
Photo

圈界NO.1 🟡昵称: 桐桐 🕐地区:#蜀山区 🤖双向:@tongtunbot 🚀电报:@tongtong770880 🔔频道: 点击浏览频道👀 🔴水费:📤课表查看图📤 🔴标签 #已验证上榜 🔰【格语 】 愿你遍历山河,依然保持着这份出尘的纯粹与美丽。 🔰#点击下方查看详情⬇️

❤1

9 Oct 2026, 08:06 UTC966 viewsread 11 October 2026
Photo

🟡昵称: #王依诺 🕐地区:#蜀山区 🤖双向: @hufvcbot 🚀电报:@chce678 🔴水费:📤课表查看图📤 #禁收车费定金和没见人就给课费

6 Oct 2026, 13:42 UTC≈1,480 viewsread 11 October 2026
Photo

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Showing the 12 most recent of 42 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

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.

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 23 October 2026 — this entry's latest reading, not the date you are reading this.

“合肥名车榜” (@svipprivete), 29,995 subscribers as measured 23 October 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.