🎉 惠州逍遥阁赞助【芳华】 🎁 奖品清单 • 200 优惠劵 × 2 🛡️ 参与条件 • 加入 惠州逍遥阁 • 加入 芳华正茂🏘️ • 加入 惠州逍遥阁新公开榜 • 需消耗嫩妹币:22 • 必须设置用户名 🔮 祝福加持 • 祝福消耗:22嫩妹币 • 祝福上限:35次 • 祝福一次增加一个抽奖号,提高中奖率 ⌛ 开奖时间 • 2026-08-26 14:19:00 📜 抽奖说明 刷屏、灌水、纯表情、复制粘贴、无意义对话、撤回内容等,一律视为无效发言,不计入统计! 再次重申:灌水无意义发言都不兑奖!请用心交流。 活动最终解释权归 惠州逍遥阁 管理团队所有。 中奖的联系(@huizi2007yes)约时间 24小时内预约时间,七天内出击,过时自动作废,老师休息,自动延期 炸号需找管理验证,无法验证,奖品放回奖池重新抽奖 中奖需本人出击不得转让 用了优惠劵要写报告! 不去不要参加! ✨ 愿好运伴随每一位参与者,祝大家好运!

Channel
芳华正茂🏘️
@fanghua996
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
170subscribers
+95 since we began measuring on 24 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004481488670 |
|---|---|
| Type | Channel |
| Username | @fanghua996 |
| Created | 25 July 2026 — measured — dated from the channel’s first post |
| First recorded | 24 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/fanghua996 |
Topic
Giveaways & airdrops — 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 25 September 2026 and assigned it the closest of 31 fixed categories, at 39% 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 |
|---|---|---|
| 17 Sept 2026, 19:58 | 170 | +3 |
| 9 Sept 2026, 23:37 | 167 | +36 |
| 31 Aug 2026, 11:39 | 131 | +41 |
| 24 Aug 2026, 23:57 | 90 | +15 |
| 24 Aug 2026, 09:45 | 75 | no change |
| 24 Aug 2026, 09:30 | 75 | first reading |
Engagement
13 posts held, back to 25 July 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 13 posts for this entry, the most recent from 24 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 6s
- Average length
- 3s
Measured directly from 2 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
6 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 83.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 5 | 83.3% | |
| 😐 | 1 | 16.7% |
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 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 6 reactions 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 25 July 2026 to 24 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
爱都是相互的,你站着我跪着,你躺着我坐着💋
优惠一张7p13pp~
芳华上课啦
休息
🈳
最后一天~ 明天休息啦 优惠一张7p13pp~
#出击大队报告模板 📄【老师体验报告】 【老师花名】:芳华 【课室位置】:#河南岸 【上课费用】:8p 【出击时间】:7/27 【人照几分】:9 【身高身材】:很棒 【沟通态度】:热情不冷场 【项目细节】:服务都有 【是否超时】:否 【卫生环境】:干净 【自由评论】:老师住的地方不算难找,进门看老师很爱笑,拖鞋后老师还会和你聊天,性格挺好,还会帮你洗澡细心拿一次性浴巾帮擦身体,躺在床上老师会从上往下舔,舔的时候还会发出娇喘,口交的时候老师的口水声很大很爽,无齿感很舒服,一看就是口交大师,然后老师会带上小雨伞,进去的时候能感觉到老师水很多很滑,后入的时候大屁股看着是真的很有感觉。总结过程很会玩,很骚会勾引 🧾 综合评价:优秀 【⭐️⭐️⭐️⭐️⭐️推荐】 ⭐️⭐️⭐️⭐️优秀 ⭐️⭐️⭐️良好 ⭐️⭐️一般 ⭐️差评 🅰️ 学生留名:匿名 🅱️ 老师链接:@fanghua8786
❤3😐1
空
头课滴滴
Photo, posted without a caption
❤1
🌸艺名:芳华(无中介,个人自聊人照对版) 🎀年龄:20岁 身高:光脚166 🎀体重:53kg 胸圍: 36C 课表课费: 800 /(1次/45分钟) 1400/(2次/90分钟) 🎀大长腿、腰细 翘臀69 👅蛋蛋,口爆,毒🐉 情趣内衣,制服诱惑,诱惑按摩,鸳鸯浴(温柔听话不催钟)按摩 私聊 @fanghua8796 机器人 @hzfhdbot 🉑外出:外出先转来回🚗费 🈲醉酒 🈲桩机 🈲吃💊 🈲无🍑 🈲口嗨 课室地址:河南岸,小区 🌸自带科室,干净卫生(素质约客) 💰安全起见,约课尽量带现金
❤1
Showing the 12 most recent of 13 posts we hold for @fanghua996. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 1 registered channel — 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“芳华正茂🏘️” (@fanghua996), 170 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/fanghua996.
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.