Telegram RegisterThe public register of Telegram

Channel

惠州高端车资源

@hzgdcfzyb

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

23,583subscribers

+369 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1002120839355
TypeChannel
Username@hzgdcfzyb
Description🌹上榜认证管理员🌹 @Zxc5588 惠州高端车府交流群:https://t.me/hzgdcf
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/hzgdcfzyb

Growth

23,21424,37323,793.56 August 2026 — 23,214 subscribers7 August 2026 — 23,865 subscribers8 August 2026 — 24,343 subscribers9 August 2026 — 24,373 subscribers10 August 2026 — 24,230 subscribers11 August 2026 — 24,115 subscribers12 August 2026 — 24,101 subscribers13 August 2026 — 23,625 subscribers14 August 2026 — 23,583 subscribers23,5836 August 202614 August 2026
9 measurements spanning 8 days, net +369. 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 23,040–24,547 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 20:1623,583-42
13 Aug 2026, 13:0723,625-476
12 Aug 2026, 11:1724,101-14
11 Aug 2026, 13:4524,115-115
10 Aug 2026, 13:1824,230-143
9 Aug 2026, 12:3724,373+30
8 Aug 2026, 14:2324,343+478
7 Aug 2026, 16:1023,865+651
6 Aug 2026, 22:4623,214first reading

Engagement

28 posts held, back to 4 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 21 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.06%
avg views ÷ 23,583 subscribers
Avg views / post
1,190
28 posts measured
Reaction rate
0.087%
reactions ÷ views · ER floor
Posts in window
28
of 28 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 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 14 August 2026
Posts held28 (4 August 202614 August 2026)
Views total33,393
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 04:54 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
1,400
Videos
324
Links
332

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. 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
1m 08s
Average length
9s

Measured directly from 8 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2100.0%

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 28 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 4 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, 06:55 UTC95 viewsread 15 August 2026
Photo

花名:#小微微 坐标:#大亚湾 提供地方 课费:#450p 资料: 人照七八分 身高168 体重95 胸A+ 年纪25左右 服务:洗吹做 制服丝袜 联系: @xisosjdj 频道:https://t.me/zingdhkj 机器人:@iusjmlsudhjd_bot

13 Aug 2026, 15:22 UTC738 views1 reactionsread 15 August 2026
Photo

惠州顶尖会所 📱📱📱📱 惠城唯一不发假图会所 百分百保证真实照片 (关键词搜索🔍) 惠城-河南岸-麦地-东平-水东街-桥东-龙丰-水口-江北-小金口-乌石-仲恺-陈江 #商k #k歌沐足 #生日聚会 #派对等 惠阳-大亚湾-淡水-新圩-镇隆-三和 博罗-园洲-罗阳-石湾-龙溪-湖镇 惠东-平山-大岭-双月湾 金牌客服:@Huizhouabingbot 群聊:https://t.me/tangguo16600

1

13 Aug 2026, 11:14 UTC≈1,080 viewsread 15 August 2026
Photo

😀😀😀😀 💋 花名:#奶芙 ✨ 坐标:#惠州 #大亚湾区 (大亚湾) ✈️ 私聊: @naifu88890 💌 频道: @naifu8899 👀双向: @naifu88890_bot 💰 课费: #700p-1400pp 👑标签:#69 #鸳鸯浴 #无套口 #舌吻 #可爱乖巧 #丝袜 #制服 #激情 #配合 😀😀😀😀 😀😀😀😀😀

11 Aug 2026, 14:14 UTC636 viewsread 15 August 2026
Photo

😀😀😀😀 💋 花名:#可可 ✨ 坐标:#惠州 #大亚湾区 (大亚湾) ✈️ 私聊: @Mmmg520 💌 频道: https://t.me/kekeneng888 👀双向: @wanwan99bot 💰 课费: #600p 700p-1300pp 👑标签:#69 #鸳鸯浴 #水中箫 #舌吻 #调情 #胸推 #臀推 #漫游 #情趣丝袜 #激情 #配合 😀😀😀😀 😀😀😀😀😀

11 Aug 2026, 09:25 UTC439 viewsread 14 August 2026
Photo

私信: @xianger5 双向: @Ghdh5_bot 地址:龙丰 #龙丰 惠城区 频道:https://t.me/xianger52

11 Aug 2026, 09:24 UTC302 views0 reactionsread 13 August 2026
Photo

联系: @xiaoy5233 双向 :@Bhj768_bot 频道 https://t.me/xiaoy5231 地址:#惠州 #龙丰 龙丰 河南岸

11 Aug 2026, 09:20 UTC389 viewsread 13 August 2026
Photo

私信: @nanana5231 双向: @Bei678_bot 地址:惠城区 #龙丰 龙丰 频道:https://t.me/xixi52131

11 Aug 2026, 07:56 UTC398 viewsread 12 August 2026
Photo

[大圣精品飞机号六年信誉老店] [各国年份飞机号老群组老频道] 老师聊单专用号↓半年的号30元 防注销精养老号↓一年的号60元 做业务专用老号↓二年的号80元 [代开飞机会员] [代上僵尸粉] [代开双向机器人] [代刷浏览量] 咨询联系 :@fjhzdas 关注频道 :@datgzs

11 Aug 2026, 06:33 UTC372 viewsread 12 August 2026
Photo

机器人 @Lubj6_bot 联系 @Michae527 地址:#龙丰 龙丰 惠城区

10 Aug 2026, 04:36 UTC427 viewsread 10 August 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_7409967287

10 Aug 2026, 04:36 UTC420 viewsread 10 August 2026
Photo

😀😀😀😀 💋 花名:#冰冰 ✨ 坐标:#惠州 #河南岸(河南岸) ✈️ 私聊: @Sunny_45322 💌 频道: @Sgjibtohff 👀双向: @Bin889022Bot 💰 课费: #800p-1500pp 👑标签:#69 #鸳鸯浴 #舌吻 #无套口 #口爆 #胸推 #亲咪咪 #指滑 #丝袜制服 #激情 #配合 😀😀😀😀 😀😀😀😀😀

10 Aug 2026, 03:45 UTC487 viewsread 10 August 2026
Photo

#河南岸 #麦地 #水东街222号 水东街 群聊:https://t.me/tangguo16600 抽奖频道:https://t.me/guliang321

Showing the 12 most recent of 28 posts we hold for @hzgdcfzyb. 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 — 439,082 of 1,350,102entries 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.

Mentions

Named by 3 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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“惠州高端车资源” (@hzgdcfzyb), 23,583 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/hzgdcfzyb.

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.