Telegram RegisterThe public register of Telegram

Channel

合肥名车榜

@svipprivete

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

39,576subscribers

+6,633 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
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 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/svipprivete

Growth

32,85639,57636,21612 August 2026 — 32,943 subscribers12 August 2026 — 32,943 subscribers13 August 2026 — 32,856 subscribers14 August 2026 — 39,576 subscribers12 August 202614 August 2026
4 measurements spanning 2 days, net +6,633. 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 31,848–40,584 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 19:5739,576+6,720
13 Aug 2026, 12:0832,856-87
12 Aug 2026, 23:0032,943no change
12 Aug 2026, 22:5332,943first reading

Engagement

8 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.56%
avg views ÷ 39,576 subscribers
Avg views / post
2,600
8 posts measured
Reaction rate
0.075%
reactions ÷ views · ER floor
Posts in window
8
of 8 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 3 of 8 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 14 August 2026
Posts held8 (6 August 202614 August 2026)
Views total20,761
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 14:04 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
545
Videos
76
Links
53

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.

Video runtime
8s
Average length
8s

Measured directly from 1 video 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

4 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4100.0%

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 3 of the 8 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 6 August 2026 to 14 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

14 Aug 2026, 05:29 UTC581 views2 reactionsread 15 August 2026
Photo

🟡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⬇️

2

13 Aug 2026, 05:59 UTC≈1,150 views0 reactionsread 15 August 2026
Photo

蜀山知意优惠 坐标:#合肥# 蜀山区 知意老师: @Qibao520 机器人 : @Qibao520168bot ❤️福利来了❤️ 1p 优惠1张 2p优惠2张 8月13号止8月18号 现在开始可以预约了😘😘😘

11 Aug 2026, 07:29 UTC≈2,240 viewsread 15 August 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:https://t.me/hfmyg01 个人频道:https://t.me/hfmyg0 豪华剧场:https://t.me/hfmyg02

9 Aug 2026, 14:17 UTC≈2,860 viewsread 15 August 2026
Photo

😄😄😉🤩合肥市蜀山区全场00后 🛡合肥市蜀山区超级全裸🚩🔤 🤩😁😎😎🤩😁😎😎 💵原价:5️⃣9️⃣9️⃣预约价4️⃣9️⃣9️⃣ ⏸营业时间:中午12:00-凌晨3点 ⭐️免费提供各类情趣丝袜可带走 ⭐️服务时间60分钟.(满钟)不限次数饮料茶水糖果 香烟免费畅饮 ⭐️全场高颜值主打00后嫩妹不办会员,不推销不办卡,无隐藏消费 ⭐️可亲可可摸可柔还可以射在妹子身上!出勤十几位 💎胸推 腿推 臀推 逼推 阴推 手推 毛推 脖推 足推 脚推 K推漫游 过水吸皮 制服诱惑 丝袜诱惑 情趣诱惑 高跟鞋诱惑 角色扮演 cos 调情 舌吻亲嘴 接吻 毒龙 舔脚抓龙筋 花式推法 一字马 指滑 舌滑 足交 乳交 按摩缩阴 陪聊天 喷水 冰火两重天 限时不限次 正规按摩 射身 舔奶头 舔鲍鱼 店铺 ✔️全裸全裸💯不穿内裤可摸女孩嫩逼不玩套路 ✔️颜值为主 服务为辅 优于市场精选只做精品 ✔️臀推 女孩用手扶阴茎顺着她嫩臀屁股沟处上下摩擦 ✔️臀推

8 Aug 2026, 08:59 UTC≈3,620 views2 reactionsread 15 August 2026
Photo

🟡昵称: 桃子 🕐地区:#蜀山 🤖双向:@Jiaxin9588bot 🚀电报:@jiaxinne 🔔频道: https://t.me/taoxiaotaowowo 🔴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⬇️

2

7 Aug 2026, 12:05 UTC≈3,110 viewsread 14 August 2026
Photo

【御龍轩·酒店式主题😀😀😀】 #合肥#新店开业大酬宾☺️☺️☺️ #庐阳区📱📱📱📱📱😘😘 御龍品质保证【主打一个服务配合至上理念】 新人到店首单体验价#😀😀😀 (原价)😀😀😀 我们以最专业的服务和口碑,赢的大家的信任和支持,为您带来非同寻常的尊贵享受。 服务时间50分钟。本店不办会员。 服务:乳胶 毒龙 猴子偷桃 海底捞月 高山流水 日式调情 莞式服务 手推 胸推 臀推 腿推 B推 足推 😗推 特色服务:“喜之郎👄” 环境私密,独立淋浴🚿 全裸出镜,服务拉满🎡 停车方便,安全可靠 🌹 #开业特价活动:📱📱😀😀😀 ♥️:📱📱📱📱📱 📱📱🙂😍🙃🙃双凤起舞 ♥️:组团有优惠2人起🥰😘🙃 带朋友介绍来可优惠叠加到个人 🈵7次第🎱次半价 官方群编辑好评还有优惠 无套路、不办卡、没有任何隐型消费 🤗💯安全💯稳定💯可靠🤗 ⏰营业时间12:00—03:00 📱号:ylx1238886 备用微信号:qingchun ZJ ————————

6 Aug 2026, 11:13 UTC≈3,550 viewsread 14 August 2026
Photo

#潘姐高端极品【大⭕️】 #诚信客服 已验证 #定金预约 群管已担保 💎专注特区一线城市修车,纯一手资源 只有你想不到的,没有我没有的。 ✡️奢华的环境、全套一条龙服务、至尊享受、帝王体验 ♒️总频道: @hnanjingjujidi ♏️客服潘姐: @panjie888168bot

6 Aug 2026, 05:57 UTC≈3,650 viewsread 14 August 2026
Photo

福利来了❤️❤️❤️❤️❤️❤️ 坐标:#合肥# 蜀山区 老师:知意 联系:@Qibao520 机器人 @t.me/Qibao520168bot 福利来了❤️ 1p 2p 各优惠100 8月6号止8月11号 现在开始可以预约了😍

Showing the 8 most recent of 8 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

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“合肥名车榜” (@svipprivete), 39,576 subscribers as measured 14 August 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.