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Channel

东莞认证资源

@cph995

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

60,679subscribers

+8,114 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001543453324
TypeChannel
Username@cph995
Description【修车老总】 @ca6688bot 【修车频道】 https://t.me/cph995 【修车老群】https://t.me/sss333rrf 【全国修车】 @langtianxia 【公用防雷】https://t.me/bikan888
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live8 October 2026
Measurements held31
Confirmed unchanged1 time, most recently 8 October 2026
On Telegramt.me/cph995

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 62% 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

52,56560,67956,62211 August 2026 — 52,565 subscribers11 August 2026 — 52,583 subscribers12 August 2026 — 52,771 subscribers14 August 2026 — 53,060 subscribers15 August 2026 — 53,575 subscribers16 August 2026 — 53,839 subscribers18 August 2026 — 54,054 subscribers19 August 2026 — 54,392 subscribers20 August 2026 — 54,860 subscribers21 August 2026 — 55,150 subscribers22 August 2026 — 55,318 subscribers24 August 2026 — 55,667 subscribers25 August 2026 — 55,925 subscribers26 August 2026 — 56,156 subscribers27 August 2026 — 56,356 subscribers28 August 2026 — 56,570 subscribers29 August 2026 — 56,564 subscribers30 August 2026 — 56,544 subscribers31 August 2026 — 56,698 subscribers1 September 2026 — 56,730 subscribers2 September 2026 — 56,743 subscribers4 September 2026 — 56,794 subscribers6 September 2026 — 57,218 subscribers9 September 2026 — 57,855 subscribers11 September 2026 — 58,057 subscribers13 September 2026 — 57,876 subscribers15 September 2026 — 57,972 subscribers17 September 2026 — 58,147 subscribers26 September 2026 — 58,906 subscribers4 October 2026 — 60,362 subscribers8 October 2026 — 60,679 subscribers11 August 20268 October 2026
31 measurements spanning 58 days, net +8,114. 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 51,348–61,896 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
8 Oct 2026, 21:0260,679+317
4 Oct 2026, 14:0160,362+1,456
26 Sept 2026, 05:1958,906+759
17 Sept 2026, 07:5758,147+175
15 Sept 2026, 06:1757,972+96
13 Sept 2026, 18:1757,876-181
11 Sept 2026, 20:1958,057+202
9 Sept 2026, 11:1457,855+637
6 Sept 2026, 06:0257,218+424
4 Sept 2026, 01:5956,794+51
2 Sept 2026, 13:1356,743+13
1 Sept 2026, 14:4356,730+32
31 Aug 2026, 16:3456,698+154
30 Aug 2026, 15:3956,544-20
29 Aug 2026, 12:2556,564-6
28 Aug 2026, 15:2356,570+214
27 Aug 2026, 15:0756,356+200
26 Aug 2026, 18:3256,156+231
25 Aug 2026, 15:5855,925+258
24 Aug 2026, 14:1555,667first reading

Engagement

56 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 127 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.15%
avg views ÷ 60,679 subscribers
Avg views / post
1,300
28 posts measured
Reaction rate
0.116%
reactions ÷ views · ER floor
Posts in window
28
of 56 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 28 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 12 October 2026
Posts held56 (6 August 2026 – 12 October 2026)
Views total36,480
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Oct 2026, 20:53 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
≈1,040
Videos
≈224
Links
≈85

Lifetime counters from Telegram’s own channel header, read 12 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
3m 48s
Average length
9s

Measured directly from 25 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

27 reactions across 16 posts, in 4 distinct kinds. The most used accounts for 77.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2177.8%
👍311.1%
👏27.41%
🔥13.70%

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 56 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 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 56 most recent posts we hold, published 6 August 2026 to 12 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

12 Oct 2026, 19:35 UTC132 viewsread 12 October 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_62302294

12 Oct 2026, 12:59 UTC219 views1 reactionsread 12 October 2026
Photo

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❤1

12 Oct 2026, 08:43 UTC333 viewsread 12 October 2026
Photo

(东莞松山湖抓龙筋) [花名]嘉嘉 【位置】东莞松山湖万象汇 [学费]课表查看图 【学习内容】抓龙筋项目详情看课表 [电报联系]@Adeocd (QQ联系)2716963251

12 Oct 2026, 08:03 UTC335 viewsread 12 October 2026
Photo

🟡【昵称】:#小师妹 🕐【地区】:#长安 📣【介绍】:92 95 🤖【双向】:@xiaosm_bot 🚀【电报】:@Lhk888 🔔【频道】:点击预览👀 🔴【水费】:#380 550 680 💹验证视频已通过狼友可放心出击 💹出击请认准上榜推广老师 加入狼友交流群: 🔴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⬇️

9 Oct 2026, 12:57 UTC≈1,240 viewsread 12 October 2026
Photo

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7 Oct 2026, 13:28 UTC≈1,610 viewsread 12 October 2026
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🫦艺名:可可 🫦预约:@keke095 🫦定位:东莞虎门万科 🫦课费:380 /680 🫦认证:已认证 🫦双向机器人:@keke8820bot 🫦频道:点击预览👀 🫦交流群:点击预览👀 #本群长驻老师

7 Oct 2026, 09:11 UTC≈1,500 viewsread 11 October 2026
Photo

🟡昵称: 新人安安 幕南 🕐地区:#南城 🤖双向:@ananmuna_bot 🚀电报:@hjjjhhjjbj 🔔频道: 点击预览👀 🔴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 】 ⬇️⬇️⬇️

5 Oct 2026, 14:24 UTC≈1,960 views2 reactionsread 11 October 2026
Photo

🟡昵称:小敏抓龙筋 🕐地区:南城~虎门 🚀电报:点击私信 🔔频道: 频道点击浏览👀 🔴水费:370起 ✅双向:@nanchengxiaominbot 🔴水费:📤课表查看图📤 🔴标签 #可放心出击 #已验证 #老师狼友请看下方评论区⬇️

❤1🔥1

5 Oct 2026, 11:38 UTC655 viewsread 7 October 2026
Photo

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2 Oct 2026, 15:09 UTC≈1,540 viewsread 7 October 2026
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2 Oct 2026, 14:26 UTC≈1,520 viewsread 7 October 2026
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2 Oct 2026, 13:47 UTC898 viewsread 5 October 2026
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Showing the 12 most recent of 56 posts we hold for @cph995. 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 8 October 2026 — this entry's latest reading, not the date you are reading this.

“东莞认证资源” (@cph995), 60,679 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/cph995.

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.