😀😀😀😀 ✨ 坐标:#惠州 #惠港区 💋 花名:#悠悠 #已认证 ✈️ 私聊: @XYM68688 💌 频道: @MGYH07 👀双向: @MGYH11bot 💰 课费: #450p-900pp 👑标签:#69 #鸳鸯浴 #无套口 #舔蛋 #胸推 #按摩 #舌吻 #乳交 #制服 #丝袜 #激情 #配合 😀😀😀😀 😀😀😀😀😀

Channel
惠州高端车资源
@hzgdcfzyb
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
37,353subscribers
+14,139 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002120839355 |
|---|---|
| Type | Channel |
| Username | @hzgdcfzyb |
| Description | 🌹上榜认证管理员🌹 @Zxc5588 惠州高端车府交流群:https://t.me/hzgdcf |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/hzgdcfzyb |
Topic
Other / unclassifiable — 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 95% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 15:59 | 37,353 | +7,683 |
| 17 Sept 2026, 00:39 | 29,670 | -671 |
| 15 Sept 2026, 03:38 | 30,341 | -928 |
| 13 Sept 2026, 16:15 | 31,269 | -198 |
| 11 Sept 2026, 19:17 | 31,467 | +166 |
| 9 Sept 2026, 08:15 | 31,301 | +5,105 |
| 5 Sept 2026, 21:39 | 26,196 | -449 |
| 3 Sept 2026, 20:20 | 26,645 | -185 |
| 2 Sept 2026, 10:53 | 26,830 | +89 |
| 1 Sept 2026, 10:14 | 26,741 | +263 |
| 31 Aug 2026, 11:28 | 26,478 | +47 |
| 30 Aug 2026, 12:07 | 26,431 | -247 |
| 29 Aug 2026, 13:14 | 26,678 | -111 |
| 28 Aug 2026, 10:24 | 26,789 | -128 |
| 27 Aug 2026, 10:56 | 26,917 | -56 |
| 26 Aug 2026, 07:54 | 26,973 | -662 |
| 25 Aug 2026, 05:07 | 27,635 | -682 |
| 24 Aug 2026, 02:14 | 28,317 | +1,921 |
| 22 Aug 2026, 09:38 | 26,396 | -164 |
| 20 Aug 2026, 23:03 | 26,560 | first reading |
Engagement
64 posts held, back to 4 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 65 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.99%
- avg views ÷ 37,353 subscribers
- Avg views / post
- 1,860
- 23 posts measured
- Reaction rate
- 0.05%
- reactions ÷ views · ER floor
- Posts in window
- 23
- of 64 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 23 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 21 September 2026 |
|---|---|
| Posts held | 64 (4 August 2026 – 21 September 2026) |
| Views total | 42,854 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 07:40 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
- ≈1,520
- Videos
- ≈337
- Links
- ≈355
Lifetime counters from Telegram’s own channel header, read 22 September 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
- 2m 48s
- Average length
- 11s
Measured directly from 16 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
8 reactions across 8 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 100.0% |
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 10 of the 64 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 8 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 4 August 2026 to 21 September 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
😀😀😀😀 🌹 花名:#安逸 🧚♀️ 坐标:#惠州 #大亚湾区(大亚湾) 💑 私聊: @anyi6880 🗣 频道: @anyi668800 🙌 课费:#500p-1000pp 👑标签:#鸳鸯浴 #AB面 #无套口 #指滑 #胸推 #情趣内衣 #制服丝袜 😀😀😀😀 😀😀😀😀😀
❤1
😀😀😀😀 💋 花名:#雪姬 ✨ 坐标:#惠州 #江北区(江北 ) ✈️ 私聊: @XxueJji 💌 频道: @xxujJi 👀双向: @Xxuej5Jibot 💰 课费: #600p-1200pp 👑标签:#无套口 #鸳鸯浴 #胸推 #环游 #调情 #按摩 #制服 #丝袜 #肤白 #胸大#温柔甜美 #激情配合 😀😀😀😀 😀😀😀😀😀
😀😀😀😀 💋 花名:#卡卡 ✨ 坐标:#惠州 #惠城 ✈️ 私聊: @ttyy909090 💌 频道: https://t.me/misskklignjz 💰 课费:#600p-1200pp 👑标签:#毒龙 #舌吻 #69 #鸳鸯浴 #胸推 #无套口 #水中箫 #舔咪咪 #丝袜 #制服 😀😀😀😀 😀😀😀😀😀
#河南岸222号 #河南岸888号 #河南岸666号 #河南岸111号 #惠州 #河南岸 #金山湖 #麦地 #水口 #下铺(河南岸) 双向联系:@Huizhouabingbot 技师照片:https://t.me/guliang321/1318
😀😀😀😀 💋 花名:#雪梨妹妹 #已认证 ✨ 坐标:#惠州 #淡水 ✈️ 私聊:@xueli2333 💌 频道:https://t.me/accjk2333 👀双向:http://t.me/xuelixueliBot 💰 课费: #400p-800pp 👑标签: #鸳鸯浴 #69 #毒龙 #无套口 #舌吻 #按摩 #激情 #配合 😀😀😀😀 😀😀😀😀😀
抽奖惠州顶尖会所选妃福利(编号L178884788843)已成功开奖: 创建人:三营长[5922934874] 已参与人数:2201 中奖名单如下: 可惜现*[64325010**](奖品为口令红包66) 贝塔(心动版*[72139361**](奖品为口令红包10) 竹*[73189295**](奖品为口令红包10) 加了盐的海*[75112299**](奖品为口令红包20) 油条小王*[75644787**](奖品为口令红包10) 威士忌西*[76163764**](奖品为口令红包10) 吉薇*[77572709**](奖品为会所按摩抵扣券50) 电报玩*[78860622**](奖品为会所按摩抵扣券50) 陈北*[79210732**](奖品为会所按摩抵扣券50) asdfghjk*[79761991**](奖品为口令红包10) 你的晨*[80412826**](奖品为会所按摩抵扣券50) 厕所守门*[81310748**]…
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😀😀😀😀 💋 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 😀😀😀😀 😀😀😀😀😀
#石湾 #园洲 #新圩 #大亚湾 #惠东 #惠城 #龙溪 #博罗园洲 #小金口 #仲恺 #沥林 #三栋 #江北 #河南岸 #麦地 #水口 #湖镇 #三和 #镇隆 #陈江 #双月湾 #惠州全区 #惠东吉隆 #平山 客服:@tangguo1660 双向:@Huizhouabingbot 照片:https://t.me/guliang321/1318
#博罗园洲 #博罗 #园洲 #龙溪 #湖镇 #罗阳 #罗阳镇(罗阳) 金牌客服:@Huizhouabingbot 技师照片:https://t.me/tangguo160
😀😀😀😀 💋 花名:#宴初 ✨ 坐标:#金山湖 ✈️ 私聊: @yczlj66 💌 频道: @yczlj00 👀双向: @yczlj66bot 💰 课费: #700-1999 👑标签:#正宗泰国抓龙筋 #详情见课表 😀😀😀😀 😀😀😀😀😀
Showing the 12 most recent of 64 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.
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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
@guliang321 · 4,6388 posts惠州出击选妃群1.0
@tangguo16600 · 2,9168 posts极搜🔍资源搜索@JISOU
@jisou2 · 1,747,9805 posts惠州高端车府
@hzgdcf · 43,1743 posts🧧GT免费抽奖机器人🧧
@zzbjqrbot · 16,8683 posts惠州(出勤)报告榜
@baogao1515 · 2422 posts飞机会员/GT号/大圣工作室
@datgzs · 76,2212 posts星月~开课中
@aabby168169 · 2,8391 post安逸的㊙️密小花园
@anyi668800 · 6701 post惠州飒飒的私密小窝
@gaosasasa66 · 3491 post惠州糖糖
@huizhoutangtang210 · 3211 post惠州倩倩的私密小窝
@juanjuqn888 · 1491 post惠阳 ❤️🉑心 ❤️05年嫩妹个人空间
@kekeneng888 · 1,2681 post惠州 泰国女奴🐕悠悠 SM车震口爆颜射丝足
@MGYH07 · 2,2311 post卡卡🐾
@misskklignjz · 2,5131 post奶芙课室
@naifu8899 · 8911 post惠州梦初嫩妹榜
@nengmei52 · 2,9101 post惠州出击选妃频道
@tangguo1666 · 1,7591 post小椰子温馨花园🌸
@ufdgjctiifrth · 4391 post林菲菲
@wsndbby1314 · 3191 post赢赢大🐻美少妇❤️水床莞式服务
@wwwfff55 · 2,1991 post朵儿朋友圈(龙丰)
@xianger52 · 7461 post晏初正宗泰式抓龙筋
@yczlj00 · 1,8781 post微微朋友圈
@zingdhkj · 5851 post
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“惠州高端车资源” (@hzgdcfzyb), 37,353 subscribers as measured 19 September 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.