【花 名】 嘉嘉 【位 置】 惠州惠阳大亚湾 【介 绍】 年龄19岁,身高1.60m,体重43kg,胸B,人照比8成。 【学 费】 700一次<40分钟> 1400两次<90分钟> 【学习内容】 鸳鸯戏水(陪洗)🐍吻 69 制服丝袜 【联 系】 @Jj78871 【学习报告】 雷 兵 报 告

Channel
惠州惠阳淡水大亚湾探花榜
@huiyangtanhua
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry
46,884subscribers
+3,238 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002266452425 |
|---|---|
| Type | Channel |
| Username | @huiyangtanhua |
| Description | Hello @Telegram My channel has not violated the rules and policy of using Telegram. Please pay attention. @rove 交流群: @huiyangqun 老师查询机器人: @tanhuazongguanbot 报告库: @huizhouchuji 上榜联系: @huizhouguabangbot |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/huiyangtanhua |
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 90% 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 |
|---|---|---|
| 26 Sept 2026, 20:41 | 46,884 | +791 |
| 19 Sept 2026, 17:37 | 46,093 | +257 |
| 17 Sept 2026, 04:19 | 45,836 | +240 |
| 15 Sept 2026, 08:17 | 45,596 | +32 |
| 13 Sept 2026, 19:57 | 45,564 | +9 |
| 11 Sept 2026, 23:40 | 45,555 | -8 |
| 9 Sept 2026, 11:01 | 45,563 | +33 |
| 6 Sept 2026, 04:15 | 45,530 | +295 |
| 3 Sept 2026, 23:16 | 45,235 | -22 |
| 2 Sept 2026, 15:25 | 45,257 | -40 |
| 1 Sept 2026, 14:34 | 45,297 | +91 |
| 31 Aug 2026, 12:04 | 45,206 | +80 |
| 30 Aug 2026, 08:35 | 45,126 | -90 |
| 29 Aug 2026, 11:15 | 45,216 | +96 |
| 28 Aug 2026, 08:33 | 45,120 | +91 |
| 27 Aug 2026, 09:26 | 45,029 | -347 |
| 26 Aug 2026, 06:32 | 45,376 | -753 |
| 25 Aug 2026, 04:05 | 46,129 | +1,256 |
| 23 Aug 2026, 21:34 | 44,873 | +70 |
| 22 Aug 2026, 07:35 | 44,803 | first reading |
Engagement
145 posts held, back to 5 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 103 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.77%
- avg views ÷ 46,884 subscribers
- Avg views / post
- 2,230
- 82 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 82
- of 145 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.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 145 (5 August 2026 – 27 September 2026) |
| Views total | 183,233 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 10:57 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
- 256
- Videos
- 47
- Links
- 29
Lifetime counters from Telegram’s own channel header, read 27 September 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
- 13m 19s
- Average length
- 10s
Measured directly from 83 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.
Recent posts
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【花 名】 小诗诗 【位 置】 惠州惠阳大亚湾 【介 绍】 年龄20岁,身高1.63m,体重55kg,胸C,人照比8成。 【学 费】 600一次<40分钟> 1200两次<90分钟> 【学习内容】 洗 吹 做 69 制服丝袜 【联 系】 @sisi2026088 【学习报告】 雷 兵 报 告
【花 名】 小懒 【位 置】 惠州惠阳大亚湾 【介 绍】 年龄18岁,身高1.67m,体重45kg,胸B,人照比7-8成。 【学 费】 650一次<40分钟> 1300两次<90分钟> 【学习内容】 洗 吹 做 🐍吻 69 【联 系】 @XL2008088 【学习报告】 雷 兵 报 告
【花 名】 玉玉 【位 置】 惠州惠阳大亚湾 【介 绍】 年龄21岁左右,身高1.63m,体重51kg,胸B,人照比8成。 【学 费】 700一次<40分钟> 1400两次<90分钟> 【学习内容】 洗 吹 做 🐍吻 69 制服丝袜 【联 系】 @yy6060601 【学习报告】 雷 兵 报 告
惠城区92-94海选会所 主打高颜值,莞式服务 现活动价:299/399 服务时间60分钟不限出水次数 双飞特价:第二个199一龙二凤 倍快乐 现本店推出大型优质活动如下: 1:三人同行优惠 100 2:四人同行优惠 150 3:五人同行 200 4:累计到店消费满5次,免单一次,不可以叠加享受🥰【此活动长期有效】🥰 莞式服务 私密房间 玩法多样 全场海选模式 ☺️每天出勤20➕主打00后☺️ ☺️模特小网红 空姐车模 大学生☺️ ☺️大胸 A4腰 蜜桃臀 筷子腿☺️ 无套路 不办卡 没有任何隐形消费 先体验后买单 免费停车 可过夜 安全 稳定 可靠 超值 预约客服: @XM7089 双向联系:@xiongmaodejiqibot 客服电话:13138354429(同微) 客服QQ:2279581266 与 你 号…
【花 名】 困困 【位 置】 惠州惠阳大亚湾 【介 绍】 年龄19岁,身高1.65m,体重41kg,胸A+,人照比7成。 【学 费】 600一次<40分钟> 1200两次<90分钟> 【学习内容】 洗 吹 做 🐍吻 69 制服丝袜 【联 系】 @du767 -----------【学习报告】 ---------— 【老师艺名】:困困 【验证留名】:CC 【验证时间】:9.23 【所在位置】:大亚湾 【上课课费】:600p 【是否代聊】:不知道 【颜值身材】:人照7分 年龄19 目测身高165左右 40kg 🐻A 褐色 黄皮 有几个小纹身 小🦋 褐色 毛量少 就上面一点毛 【服务内容】:嫩妹三件套 【优点缺点】:优点制服很多 缺点没有漱口水 【推荐程度】:七分 【个人发挥】:依旧遥控上楼 来到课室老师在落地镜面前化妆 在沙发上安静的抽根烟 交完水费 老师陪洗AB面 到了房间里老师先开始舔 然后开始口活 口了…
这种骗子来盗号的 @huiizhouguabangbot 各位老师小心,看到后直接拉黑。
【花 名】 伊伊 【位 置】 惠州惠阳大亚湾 【介 绍】 年龄21岁,身高1.60m,体重46kg,胸B-,人照比8成。 【学 费】 600一次<40分钟> 1200两次<80分钟> 【学习内容】 洗 吹 做 69 丝袜请自带 可跟零零双飞 【联 系】 @iio1680 【学习报告】 雷 兵 报 告
【花 名】 零零 【位 置】 惠州惠阳大亚湾 【介 绍】 年龄20岁,身高1.63m,体重50kg,胸D,人照比7-8成。 【学 费】 600一次<40分钟> 1200两次<80分钟> 【学习内容】 鸳鸯戏水(陪洗) 69 丝袜请自带 可跟伊伊双飞 【联 系】 @lingling16880 【学习报告】 雷 兵 报 告
【花 名】 咩咩 【位 置】 惠州惠阳大亚湾 【介 绍】 年龄18岁,身高1.60m,体重43kg,胸B,人照比7成。 【学 费】 600一次<40分钟> 1200两次<80分钟> 【学习内容】 洗 吹 做 🐍吻 制服丝袜 【联 系】 @miemie1231 -----------【学习报告】 ---------— 【老师艺名】:咩咩 【验证留名】:雷兵 【验证时间】:9.22 【所在位置】:大亚湾 【上课课费】:雷兵价 【是否代聊】:未知 【颜值身材】:人照7 18 身材苗条 160 85斤左右 胸B-C 蝴蝶B 水多 皮肤不算白 但嫩滑 手重容易起红印 【服务内容】:洗吹做舌吻 【优点缺点】:优点 口活好 缺点 无69 【推荐程度】:4星 【个人发挥】:接到任务 约好时间出发到达科室 N久没干短发了 看到是我喜欢的 聊聊天 给钱抱抱舌吻调情 摸摸奶奶 以为很小是平的 没想到是…
【惠州惠阳大亚湾抓龙筋】 【花 名】 小熙 【位 置】 惠州惠阳大亚湾 【介 绍】 年龄26岁,身高1.60m,体重47kg,胸B,人照比7成。 【学 费】 抓龙筋项目 500<70分钟> 700<120分钟> 【学习内容】 抓龙筋项目 详情看课表 【联 系】 @yi2569 【学习报告】 老师做纯手法抓龙筋多年,是纯手法,没有其他花里花哨的。
Showing the 12 most recent of 145 posts we hold for @huiyangtanhua. 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.
Posts edited after publishing
@huiyangtanhua edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 3 September 2026
- Most recent edit
- 15 September 2026
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“惠州惠阳淡水大亚湾探花榜” (@huiyangtanhua), 46,884 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/huiyangtanhua.
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.