Telegram RegisterThe public register of Telegram

Channel

惠州修车出击频道3.0

@guliang321

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

3,672subscribers

+169 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003454433931
TypeChannel
Username@guliang321
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/guliang321

Growth

3,5034,1893,8466 August 2026 — 3,503 subscribers7 August 2026 — 3,573 subscribers10 August 2026 — 4,189 subscribers12 August 2026 — 3,669 subscribers15 August 2026 — 3,672 subscribers3,6726 August 202615 August 2026
5 measurements spanning 9 days, net +169. 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 3,400–4,292 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 19:373,672+3
12 Aug 2026, 19:133,669-520
10 Aug 2026, 02:124,189+616
7 Aug 2026, 00:073,573+70
6 Aug 2026, 22:463,503first reading

Engagement

13 posts held, back to 2 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 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.4%
avg views ÷ 3,672 subscribers
Avg views / post
419
13 posts measured
Reaction rate
0.165%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 1 of 13 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 7 August 2026
Posts held13 (2 August 20267 August 2026)
Views total5,449
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:08 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

Video runtime
4s
Average length
4s

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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 13 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 2 August 2026 to 7 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

7 Aug 2026, 06:00 UTC144 viewsread 7 August 2026
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7 Aug 2026, 04:02 UTC150 viewsread 7 August 2026
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6 Aug 2026, 13:47 UTC480 viewsread 7 August 2026
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🎟️ 抽奖标题:惠州顶尖会所选妃福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@Huizhouabingbot (抵扣券7天内有效) 🎫 参与条件: 🎫 加入-惠州修车出击频道3.0 🎫 加入-惠州高端车资源 🎫 加入-惠州高端车府 🎁 奖品内容: 💰️ 按摩抵扣券50 × 5 💰️ 按摩抵扣券100 × 1 💰️ 口令红包20 × 3 💰️ 口令红包66 × 1 📅 开奖时间:2026-08-09 21:48自动开奖 👉 参与抽奖链接: https://t.me/zzbjqrbot?start=join-L178602364567

6 Aug 2026, 07:00 UTC278 viewsread 7 August 2026

抽奖惠州会所福利(编号L178565141646)已成功开奖: 创建人:小仙女[7325897610] 已参与人数:1308 中奖名单如下: 全金属被*[19956901**](奖品为按摩抵扣卷50元) 闰*[57268414**](奖品为按摩抵扣卷50元) 碌碌无*[75550048**](奖品为口令红包66元) 条野太*[77191400**](奖品为口令红包20元) 惠*[78292507**](奖品为口令红包20元) 知心不*[81381184**](奖品为按摩抵扣卷50元) alex_6*[82888171**](奖品为按摩抵扣卷50元) NotDav*[85356503**](奖品为按摩抵扣卷100元) 🕠?*[85620902**](奖品为口令红包20元) 轮*[87740273**](奖品为按摩抵扣卷50元)

5 Aug 2026, 19:42 UTC336 viewsread 7 August 2026
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#龙丰 #惠城 ✈️:@xiaoy5233 双向:@Bhj768_bot 频道:https://t.me/xiaoy5231

5 Aug 2026, 19:36 UTC323 viewsread 7 August 2026
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#楼凤 #搜楼凤 #全国楼凤 官方服务:@wwxfkfbot 链接:https://t.me/soloufengbot

5 Aug 2026, 19:35 UTC328 viewsread 7 August 2026
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#楼凤 #搜楼凤 官方服务:@wwxfkfbot 链接:https://t.me/soloufengbot

5 Aug 2026, 19:35 UTC324 viewsread 7 August 2026
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#楼凤 #搜楼凤 官方服务:@wwxfkfbot 链接:https://t.me/soloufengbot

5 Aug 2026, 01:20 UTC409 viewsread 7 August 2026
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#石湾 #园洲 #江北 #河南岸 #惠阳 #龙溪 感谢各路大哥支持 选妃照片:https://t.me/tangguo16600

3 Aug 2026, 20:13 UTC591 viewsread 7 August 2026
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2 Aug 2026, 11:43 UTC≈1,010 viewsread 7 August 2026
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🎰 惠州顶尖会所福利大放送 📮 抽奖条件: 🎫 加入-惠州联盟同城修车群 🎫 加入-惠州修车出击频道3.0 🎁 奖品内容: 按摩抵扣券100元 × 1 按摩抵扣券50元 × 5 口令红包🧧66元 × 1 口令红包🧧20元 × 3 💡 活动说明: 中奖者自行联系客服 @tangguo1660 领取奖励 优惠券有效期:开奖后7日内有效 📅 开奖日期:(UTC+8) 2026年08月07日 14时00分00秒

2 Aug 2026, 06:20 UTC607 views1 reactionsread 6 August 2026
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1

Showing the 12 most recent of 13 posts we hold for @guliang321. 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.

Citation-graph rank

Citation-graph rank — 86,596 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 5 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.

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

“惠州修车出击频道3.0” (@guliang321), 3,672 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/guliang321.

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.